ABSTRACT. The paper presents the results of an analysis of a 3-year time series of pollution data from the European Satellite Sentinel 5p, with a focus on the identification of peaks of pollution in the Arctic region. This research effort has been performed as part of the activities of the ARCOS project, aimed at designing a platform to identify and monitor environmental and security problems in the Arctic. This research contributes to the ARCOS project objectives with a methodology for the automatic identification and geolocation of anomalous peaks of pollution, potentially indicating new or intensifying human activity, either industrial or commercial. A step increase in human activity could indicate new human settlements, growing ship traffic, or other forms of exploitation of the natural resources in the Arctic region, which, in turn, could be an indication of a growing environmental risk. Our methodology has been tested in five areas of interest in the Arctic region. Results show how Sentinel 5p data can be effectively used for a large-scale, continuous monitoring of areas of interest, both on land and at sea. Our algorithm has identified roughly 200 peaks per year in the considered areas, highlighting the sources of pollution and indicating growing human activity in locations that are in fact generally considered at risk. Further work will be conducted in the ARCOS project to build a complete, longitudinal dataset of pollution peaks to be released as open data.

ABSTRACT. Over the last few decades, most countries' rapid industrialization, population growth, rising energy consumption and lifestyle changes have increased the threat of global warming. In this context, this study examines the relationship between carbon emissions, economic growth, foreign direct investment, oil price, energy consumption and exports in Italy by using yearly data for the period 1970-2019. For this purpose, we first apply the ARDL model; then we employ the wavelet coherence technique in order to check the causality among these variables. The novelty of this approach is that it ascertains the short-run and long-run correlation and causality among the variables simultaneously at different time periods and frequencies. Our findings show that the impact of FDI on carbon emissions is positive and statistically significant both in short and long-run which supports the pollution heaven hypothesis in Italy. Our results also reveal that the relationship between energy consumption and carbon emission is positive and statistically significant. Furthermore, the study also examines the validity of EKC hypothesis. The findings of ARDL shows that the relationship between economic growth and carbon emission is inverted U-shaped cure. This provides the evidence of validity of EKC hypothesis.

ABSTRACT. The ever-increasing global warming around the world are subjecting the countries to transition towards clean technologies. In the energy sector, the countries are moving towards the adoption of renewable energy resources. However, becoming fully dependent on the use of renewable energy resources is still a challenge due to several technological, socio-political, economic and environmental aspects. These challenges have become even more evident due to problems such as the COVID-19 pandemic and the Russia-Ukraine war. The European Union (EU), particularly Italy has suffered considerably because the country was highly dependent on the import of natural gas from Russia to meet its energy demands. Therefore, to tackle this challenge and achieve energy security in Italy in a more sustainable manner, this research aims to select the most optimal mix of energy among the existing technologies in the country. For this purpose, the study uses a strategic decision-making tool known as fuzzy SWOT approach to evaluate seven energy technologies based on a set of thirteen sustainability factors. The fuzzy set theory in this case is employed to capture uncertainty or ambiguity during the decision-making process. The technologies that possess the most strengths and opportunities would be considered the most suitable for its adoption, whereas, the ones facing weaknesses and threats in the country would be avoided.

ABSTRACT. The use of data-driven tools provides a plethora of benefits as well as challenges from a data policy-making perspective. This holds implications at organisational as well as national and regional levels. At regional level the development of data-driven tools holds economic important implications and contribute to the competitive advantage of a region in the global area. In Europe, the European Commission has made attempts towards the formulation of a regional policy on data. Despite its geo-political impact, academic research on data policy formulation at regional level remains scarce as existing IS scholars have largely emphasised on studying data policy formulation mainly at organisational level. This paper motivates the need to go beyond data policies at organisational level and deepen our understanding on how data policies are formulated at region-al level. Focusing on the case of the European regional area and the European Data Act formulation, the proposed research aims to shed light on how stakeholders perceive and make sense of the forthcoming data policy in Europe. The paper summarizes existing literature on data governance and availability and their relevance to data policies at regional level. It also describes sensemaking a theoretical lens for this research and outlines a research approach for the proposed research.

ABSTRACT. Mobility is the first contributor to the carbon footprint. While experts converge on the necessity of ecological sobriety, our case study aims at presenting an organization intent on building a new digital ecosystem to curb and reward low-carbon transportation. An exploratory case study following the idea of the creation of a startup organization offers the right empirical illustration of a digital ecosystem emergence and creation. The results indicate that leveraging digital technologies can lead to a digital ecosystem engaging organizational members toward ecological sobriety. From a theoretical perspective, the study offers a new outlook on the emergence of digital business ecosystems involving disruptive technologies. From the managerial perspective, this study contributes to better identify how disruptive technologies could support sustainable initiatives and more specifically on actions needed to curb carbon emissions.

ABSTRACT. Pervasive digitization and complex business challenges encourage companies to collaborate, build innovative digital solutions, and cocreate IT value in multi-firm environments. Despite much research extensively focused on the outcome of value cocreation, emphasizing the concept of cocreating with customers, what remains under-investigated is the ‘process’ of IT value cocreation in digital platform ecosystems with customers, partners, and competitors. This research investigates what are the key processes of IT value cocreation in digital platform ecosystems. We draw on dynamic capabilities theory to examine value cocreation in two digital platforms to tease out key processes of IT-based value cocreation in multi-firm, complex environments. We advance a theoretical framework that helps us understand how firms manage the IT cocreation journey by sensing, seizing, and reconfiguring competencies to address rapidly changing environments. This research provides an emerging model and theoretical insights into extant literature about the nine processes involved in IT value cocreation in digital platform ecosystems, also opening up new avenues for future research.

ABSTRACT. On average, algorithmic forecasts outperform human forecasts by 10%. This disparity increases further thanks to cutting-edge machine learning (ML) algo-rithms. As business decisions based on sales forecasting are regarded as particu-larly important and a variety of other activities rely on them, accurate sales fore-casting is critical to companies’ profitability. At the same time, being able to pre-dict the next day’s sales more accurately can significantly reduce food waste and help fulfilling sustainability. Thus, sales forecasting is one of the primary value propositions of artificial intelligence (AI). However, it is crucial for the ac-ceptance and adoption of ML-based sales forecasting algorithms to perform relia-bly during pandemics such as the covid-19 pandemic. Although governments’ containment measures highly impact the sales of a bakery’s products, no study has yet scrutinized incorporating the stringency of containment measures as an input variable for sales forecasting. Hence, this paper examines the performance of a ML sales forecasting system for baked goods in times of covid-19 and pro-poses incorporating a covid containment measurement stringency index as an ad-ditional input variable to increase forecast accuracy in times of pandemics. This way, prediction accuracy increases by 4.61% on average. Consequently, a con-tainment measures stringency variable should be used to increase accuracy in fu-ture pandemics. By simulating an upcoming pandemic, it is further demonstrated how learnings from the covid-19 pandemic could be meaningfully transferred. For this study, real data is used: A Swiss bakery chain provides real sales data covering 5 years including 2 years of the covid-19 pandemic.

ABSTRACT. The organizations that want to successfully monetize data need to build and consolidate data science capabilities and skills. However, the ability to create value and monetize data is still relatively underexplored in the IS literature. Given the importance of resources and abilities for the generation of data monetization capabilities, we develop a conceptual model based on Resource-based View (RBV) and Dynamic Capabilities (DC) theories to examine the resources necessary to develop Information Management and Data Monetization Capabilities to enhance Business Performance. Based on the IS literature, we developed a set of hypotheses about the capabilities and resources that facilitate data monetization. The paper provides an understanding of the elements that are still incipient in the data monetization literature, being recommended to both IS academics and practitioners. We expect this model can help organizations to identify and analyze what types of skills should be combined for the monetization process and also help them to develop Information Management and Data Monetization Capabilities, leading data-driven organizations to effectively monetize their data in order to improve their business performance.

ABSTRACT. Human-centered Artificial Intelligence (HCAI) is a term frequently used in the discourse on how to guide the development and deployment of AI in responsible and trustworthy ways. Major technology actors including Microsoft, Apple and Google are fostering their own AI ecosystems, also providing HCAI guidelines, which operationalize theoretical concepts to inform the practice of AI development. Yet, their commonality seems to be an orientation to commercial contexts. This paper focuses on AI for public services and on the special relationship between governmental organizations and the public. Approaching human-AI interaction through the lens of social contract theory we identify amendments to improve the suitability of an existing HCAI framework for the public sector. Following the Action Design Research methodological approach, we worked with a public organization to apply, assess, and adapt the “Google PAIR guidelines”, a well-known framework for human-centered AI development. The guidelines informed the design of an interactive prototype for AI in public services and through this process we revealed gaps and potential enhancements. Specifically, we found that it’s important to a) articulate a clear value proposition by weighing the public good vs. the individual benefit, b) define boundaries for repurposing public data given the relationship between citizens and their government, c) accommodate user group diversity by considering the different levels of technical and administrative literacy of citizens. We aim to shift the perspective within human-AI interaction, acknowledging that exchanges are not always subject to commercial agreements but can also be based on the mechanisms of a social contract.

ABSTRACT. Today’s brands operate in an omnichannel environment consisting of different online and offline channels where the brand can be experienced. This qualitative study investigates brand relationship reinforcement in the omnichannel environment among customers of a Finnish clothing brand, R-Collection. The data collection was conducted in 2021 by interviewing ten customers of R-Collection. We examined the brand relationship reinforcement in four channels: brick-and-mortar (B&M), online store, social media, and second hand. The findings show that brand relationships can be rein-forced differently in these channels. In B&M stores, sensing the quality of clothing, a customer experience that meets expectations, and store atmosphere worth visiting are essential for strengthening the brand relationship. In online stores, finding the best online deal, browsing clothes for entertainment, testing and considering before purchase decision, and feeling of exclusivity after purchase affirmed the brand relationship. Other peoples’ admiration, staying informed by following the pleasant brand, well-targeted sponsored ads that provide information, and inspiring brand ambassador strengthen the brand relationship on the social media channel. Finally, in the second-hand channel, ‘treasure hunting’, an opportunity to resell at a reasonable price and contribution to a sustainable lifestyle reinforce shoppers’ brand relationships. The omnichannel brand relationships needs more research from different perspectives.

ABSTRACT. While multiple studies have investigated the digital ecosystems in the B2C sectors, empirical research on the upstream of the supply chain is still underexplored. This paper examines the case when a digital platform is incorporated into the century-old auction systems. This work offers insights into B2B markets and at the same time, an interesting instance where different pricing mechanisms (online posted price and auctions) co-exit. We investigate how the information of the new digital posted price channel can influence buyers’ learning behaviors and consequently, the price dynamics in the auction market. Our empirical analysis reveals that multiple information signals can play a role. While sellers’ high price and high-volume sales signals can partially dimmish the existing declining price trend in the sequential auctions where the prices from the earlier auction rounds tend to be higher than from the latter, this information effect does not persist over time. These results highlight the potential benefit of cooperating e-commerce with an auction channel for sellers and the shift in buyers’ behaviors in responding to an additional platform in a B2B market.

ABSTRACT. Manufacturing processes are characterized by an increasing complexity, making them susceptible to failures. An effective strategy to avoid such failures, or at least to minimize their impact, is data-driven failure management. However, for many small and medium sized manufacturers, this strategy is not feasible due to a paucity of relevant failure data, which can be explained by the severe limitations and shortcomings of available solutions: ranging from the error proneness and high efforts of manual solutions to the high costs and implementation efforts of automated solutions. Against this backdrop, our study follows a design science research approach to design, develop, and evaluate a novel ontology-based speech recognition app that ad-dresses key shortcomings of currently available solutions. Main contributions of our study are the development of design requirements and principles, as well as their instantiation in an app prototype for collecting failure data in the context of manufacturing processes.

ABSTRACT. Τhis paper, first stresses the lack of engagement activities, knowledge exchange and international collaboration of the European HEIs based on Innovation and Entrepreneurship and the importance that these activities have in the evolution of HEIs as a whole. Moreover, the innovative acceleration platforms in the EIT ecosystem are examined and presented in a comparative way. The comparison of existing entrepreneurship acceleration platforms provides the groundwork for the presentation of the PROMETHEUS solutions and systems. The elements that the proposed solutions and systems are dispensed, will set the framework for the reform of the European HEIs based on Innovation and Entrepreneurship in areas with major societal impact, such as Circular Economy, Climate Change, Environmental Protection, and Sustainable Development.

ABSTRACT. Digital artwork cannot afford the fullness guaranteed by analog objects because it lacks the stability and bounds of traditional media. Thus, the inherent characteristics and nature of these objects make their collection impossible and archiving difficult. In recent months, a branch of the artworks market has taken hold involving a new technology that seems to solve this problem: these are the so-called Non-Fungible Token or NFT. NFT is the combination of a digital artwork and its underlying digital passport, recorded on a blockchain. The aim of this study is to understand whether blockchain technology can compensate for the unstable and unbound nature of digital artwork, justifying the mania surrounding NFT. Focusing on this domain, we collected data from artists and art collectors involved in the NFT market. We analyze interview data to identify themes related to digital artworks that demand a reconceptualization of digital objects. Our findings show that blockchain technology can overcome some limitations of digital objects (such as problems of authenticity, scarcity, provenance) while open up new challenges and possible risks.

ABSTRACT. The phenomenon of digital transformation (DT) changes businesses by in-troducing innovations and changes in all companies, including agricultural ones. DT introduces new technologies that impact agricultural industries, initiating digitization that enables all processes to be innovative. The digi-tal technologies' effects on agricultural industries include optimizing pro-duction, increasing product quality, and reducing environmental impact and production costs. Examples of digital technologies in agricultural indus-tries are the Internet of Things (IoT), big data, cloud computing, and sensors. These digital technologies aim to collect a lot of data, which agricultural in-dustries use to improve their business enough the data collected. Many studies analyze the use of digital technologies on farms, while few identify the barriers, enablers, and outcomes resulting from adopting digital tech-nologies. The objective of our research, through a literature review, is to identify all variables that represent barriers, enablers, and outcomes of technology adoption.

ABSTRACT. In the last few years, research on Digital Transformation (DT) has increased significantly in relation to the need to manage uncertainty and unexpected events, such as the COVID-19 pandemic. In particular, among the studies examining economic, societal, and industry-related implications, DT initiatives emerge as a global priority in the “new normal” toward resilience, wellbeing, and Sustainable Development Goals (SDGs). Accordingly, although a significant number of reviews summarising the DT debate populating the literature, the IS community clamour for deepening the current knowledge of the DT process by advancing theoretical diversity. Among other, digital transformation initiatives in non-profit organisations (NPOs) seems to be only partially explored. As it appears, several contrasting conceptualisations worldwide generally limit research in this operating context, representing room for deepening the understanding of non-profit-oriented DT processes. This study seeks to advance the comprehension of the DT process by performing a bibliometric analysis of the literature debating this specific phenomenon in NPOs. To this end, using the Scopus database, we extracted 586 contributions published from 1983 to 2022. Then, we investigate the conceptual structure of the DT discourse concerning NPOs. The outcome of this paper is twofold: (i) to quantitatively describe the existing research and its evolution by considering different sources; (ii) to recognise the main topics characterising the DT discourse in NPOs by performing a co-word analysis. This preliminary study draws a more comprehensive overview of the debate in comparison to previous qualitative research, exploring some novel discussions that could be not still addressed in journal articles.

ABSTRACT. This paper seeks to offer a critical perspective on the lack of wide-spread adoption of telemonitoring. The paper proposes a reconstruction of the processes that led from the first experimental adoption to the final codification of the service as a clinical service, showing the complex ecology of actors, knowledge, practices that are necessary to incardinate new services into the institutional fabric. Adopting a qualitative research design, organizational processes are investigated through the conceptual lens of 'institutional work', defined as the creative and rationally oriented activity of 'culturally competent' actors aimed at adapting to dynamic conditions through which institutions are created, reproduced and destroyed. The work aims to show how different actors, using the resources at their disposal, act to modify healthcare institutions by redefining their role in a scenario characterized by an increasing use of ICT tools in healthcare. The fieldwork confirms how the institutionalization of change re-quires continuous "tuning" and its transformation into everyday operational practices. At the same time, the work makes it possible to show why these processes are difficult to replicate even within the same organization, arguing that in these healthcare contexts in which institutional work is successful, particular practices prevail in connecting discursive frameworks, limited implementation strategies and economic demands.

ABSTRACT. The Quintuple Aim for Health Care Improvement by the Institute for Healthcare Improvement (IHI), underscores the importance of balancing between an improved patient experience (through patient-centered, timely, and safe care), population health outcome, lower costs, and clinician well-being and health equity for optimizing health system performance. Equitable care is about providing care that does not vary in quality because of personal characteristics such as gender, ethnicity, geographic location, and socioeconomic status. An emphasis on healthcare equity guarantees that a healthcare system must reduce inequities in healthcare processes and outcomes, particularly for those from low-income families and the underserved. For our paper, we are interested in discovering the state of the literature on the Quintuple Aim while mining for evidence of technology innovations in reaching the aim of health equity.

ABSTRACT. The COVID-19 pandemic impacted heavily on social and economic systems worldwide. One of the more striking effects of the crisis has been the worsening of inequalities, especially for already vulnerable people. This is the case of persons with disabilities who came into the COVID-19 crisis already facing significant exclusion from employment. The paper discusses the role of social cooperatives (especially the type-B social cooperatives) to mitigate the negative effects of the pandemics on the work inclusion of persons with disabilities during the most acute phase of the COVID-19 crisis. Based on a qualitative case study research concerning an Italian province in 2020, the paper highlights the positive role cooperative enterprises played to mitigate the negative impacts of the pandemic on the work inclusion of persons with disabilities and identifies the cooperatives’ local embeddedness and organizational hybridity as the more relevant properties that allowed them to play that role.

ABSTRACT. Digital Transformation (DT) is ought to be an integral part of the business model of a firm and could strongly impact on the company success/unsuccess. Recent studies on integrated report investigated the role that narrative about DT plays in the sections of “Organizational overview and external environment” and “Strategy and resource allocation”. Conversely, there is still little relevance attributed to the DT information disclosed in the section of the integrated reports (IRs) devoted to the business model. Hence, this study proposes an exploratory analysis of the narrative about DT embodied in the content element “Business Model”. With this aim, this study focuses on a sample of companies from technological intensive sectors that demonstrated commitment to IIRC initiatives and adopted its reporting guidelines. We move from the frameworks proposed in previous studies and propose a codification for DT and its main components based on locus, time orientation and type of information. The expectation is to find information that is more qualitative than quantitative and more forward looking than historical. This analysis aims at giving a contribution both to the practice and to current and future research, showing how organizations narrate about DT in a prominent section, such as the business model, that is strictly related to the value creation process and that can help to understand whether and how companies implement a DT strategy.

ABSTRACT. Financial technology innovation is a key enabling element in reaching a financially inclusive economic development. Moving from the theories on gender diversity, this research examines the impact of financial technology innovation (Fintech) on Italian banks’ performance by explaining the moderating role of gender diversity at different levels of bank governance and management. Using a sample of Italian banks observed during the period 2016-2020 and employing fixed-effects regression models we find that gender diversity in banks improves the propensity towards the in-house provisions of fintech solutions and the collaboration with external fintech firms with positive implications on bank performance. This research provides theoretical contributions and practical implications for investors, government authority and financial supervisors.

ABSTRACT. Doctors heading of Operational Units in Public Health care Organizations (PHOs), as budget holders, have become fundamental actors for the effective functioning of the budgeting planning and control systems. However, the hybridization of doctor-manager’s role and the predominant influence of their original clinical culture may cause them a lack of budgetary goal clarity, setting limits to the usefulness of the information neutrally provided by such systems for supporting their decision-making. This perceived ambiguity of budgetary goals may cause doctor-managers’ adverse reactions, which negatively influence their well-being at work, re-proposing the advantages of a greater integration of “behavioural” perspectives into the “structuralist” ones, within the approaches to management control, also in PHOs’ context. Searching for such integrated approaches to budgeting systems, health care literature developing the behavioural perspective in some lines of interpretative research suggest to enhancing the patterns of doctor-managers’ cooperation with PHOs’ controllers and top management. Within the lines of Behavioural Management Accounting (BMA) research, based on the assumptions of Person-Organization Fit Theory, this paper explores the influence of participative budgeting on doctor-managers’ goal clarity and well-being at work. This model was tested through questionnaires from 332 doctor-managers of Italian PHOs. Findings show that participative budgeting positively influence doctor-managers’ goal clarity, which, in turn, increases well-being at work, and the mediating role of goal clarity in such relation. Our study contributes to the BMA research on the budgeting practices in PHOs context, shedding a light on doctor-managers’ well-being effects of participative budgeting.

ABSTRACT. This study illustrates a ranking of organisational design practices for achiev-ing environmental sustainability performance. Organisations can achieve en-vironmental sustainability with production processes and operations that aim to reduce raw material and energy usage. To achieve such outcome, organi-sations adopt novel technologies and change work practices. To accommo-date such changes, some organisational design practices are used. Since there is a lack of studies that summarises such practices illustrating the most im-portant to the less important, we decided to conduct a best-worst method. This method allows ranking several criteria that in our studies are represent-ed by organisational design practices, which retrieved from the literature. The results of the study show a ranking of seven organisational design prac-tices for achieving environmental sustainability performance.

ABSTRACT. The implementation of digital transformation often fails. This paper aims to analyze the organizational issues of OMRON Corporation in Japan. The theories are Socio-Economic Approach to Management (SEAM) and Socio-Technical Approach. The digital transformation of OMRON was summarized from a socio-technological perspective. The interview was analyzed with the framework of SEAM's "dysfunction." OMRON has predicted social needs and developed technologies for growing significantly. The findings of interview include bellows dysfunctions and effects. The teammate's work in the department is too fragmented, and there is little communication and coordination between teammates. This may cause a delay in new product development and quality problems later; In introducing new materials, problems often occur among the R&D department, materials procurement department, and quality department. The problems outside organization and supply chain management will occur when quality problems and responsibilities of delivery on suppliers of materials. The social factors of these dysfunctions are the organization is too vertically divided, and sectionalism is strong. In addition, there are few active communication and challenges because no one takes responsibility. The technical factors are the tremendous success of the company's past technological developments, and it isn't very objective toward product development that emphasizes product technology and functions.

ABSTRACT. While finding its roots in technical disciplines, research on artificial intelligence (AI) has drawn a considerable attention in various disciplines due to AI’s broad areas of application. Similarly, information systems (IS) scholars have begun to examine AI-related phenomena given the enormous number of studies published in the last couple of years. Generally, the intellectual core of the IS discipline is to scrutinize novel technologies in their organizational and social contexts from a socio-technical standpoint. Therefore, in this study, we seek to analyze whether and to which extent current AI studies in the IS literature contribute to advancing our socio-technical understanding of AI-related phenomena. To this, we developed a comprehensive analysis framework employing a socio-technical lens and conducted a systematic literature review to analyze AI-related articles in the IS discipline’s flagship journals. Demonstrating existing studies’ lack of attention to some of the socio-technical components and their interplay, we outline directions for future research.

ABSTRACT. To reduce the COVID-19 contagion, the organizations have had to implement new organizational models based on the technology intensive, social distance and the reduction of face-to-face contacts. These conditions have led to the creation of virtual communities. A Virtual Community (VC) can be defined as a social entity which, through the use of ICT, allows the sharing and transfer of knowledge between members of the community, bridging the geographical distance. VC are based on a Human-Device-Human interaction. For this reason, VC are based on the continuous and active participation of members, a rapid access to shared knowledge and reciprocity of information. Also in the healthcare sector, there has been the creation of VC. A VC in the healthcare sector aims to share knowledge related to the delivery of health services, provide support and discuss problems related to health and treatment, share documents and consult doctors. Few studies have focused on the VC in the healthcare sector, from the perspective of knowledge management. This study aims to identify and understand the elements of the VC in the healthcare sector. An explorative-qualitative methodology was used. Mobile applications (M-apps) created by public authorities in Italy were analyzed. The results highlighted that the VC, through the M-apps, is a complex system characterized by a reciprocal relationship between the members. Some aspects, such as trust and functionality of the M-app and speed of response, can allow the success of the virtual community. M-apps are a useful tool for KM and enable to support healthcare sector.

ABSTRACT. This study presents an overview regarding the currently literature on com- munity-based workshops and Fabrication Labs (FabLabs) in management and admin- istration. An online search was conducted using the Scopus database and a co-occur- rence analysis (VCA) was performed using the VOSviewer software. The analysis re- vealed a dataset of 148 publications, in which the results showed the existence of three main clusters, and the relevance of research topics over time. This paper contributes to the literature by presenting a comprehensive review about FabLab research, in manage- ment and organization, and leads to further reflections on emerging research domains.

ABSTRACT. In the last years, the growing interest in the metaverse development does not seem to stop and also involves many economic sectors. Primarily the fashion sector has long understood the potential of digital platforms and the advantages deriving from being present on the main online gaming ones. In the past years, many fashion brands have entered meaningful partnerships with video game companies such as Epic Game, Nintendo, and Rob-lox "dressing" the avatars with their clothing. Regarding the metaverse, the fashion sector has taken up the challenge by creating the first Metaverse Fashion Week. After New York, Milan and Par-is, the fashion houses have landed on the Decentraland platform for a week of all-digital fashion shows and events. This work aims to do a literature review to explore state-of-the-art relating to the phenomenon of the presence of fashion in the metaverse, both on virtual gaming platforms and not strictly, and find future research fields.

ABSTRACT. Innovation has become a driving force for all spheres of contemporary society, including entrepreneurial activities in start-ups. Evidence from the scientific literature shows how innovative start-ups play an important role in economic, technological and social development. Innovation is the ability of start-ups to face challenges by creating new solutions. Despite the fact that the evaluation model is in all respects necessary to measure the innovativeness of start-ups, no comprehensive attempts have been found in the literature to conduct this type of research. This paper represents a preliminary study that aims to develop a global evaluation model of the innovativeness of innovative start-ups. This research provides evidence on the variables of innovativeness in three macro-areas and proposes possible evaluation methods. The results of this research must be evaluated in the future by conducting round tables and interviews with economic operators who will provide the academic community with sufficient evidence on the method of evaluating innovativeness from the practical side.

ABSTRACT. Purpose: This study aims to investigate how the use of collaborative plat-forms favors the alignment between the strategic planning of NPD projects and customers’ strategic goals. The paper addresses the challenge risen in NPD literature, especially in the co-development setting. Design/Methodology/approach: Rooted in the paradigm of pragmatic constructivism, this paper conceptualizes a learning method through which actors can use collaborative platforms to align the strategic planning of NPD project with customers’ objectives. Empirical research on a multinational company operating in the semiconductor industry demonstrates the method in action. Findings: The results show that the use of a collaborative platform ena-bled the sharing of information on NPD process and customer’s requests during the different phases of NPD process. This influences the planning of the development, which varies depending on the customer goals in the dif-ferent phases of NPD process. The interactions lead to revise the planning of NPD project in line with the changes experienced by the customer. Our study displays how the collaborative platforms favors the learning process and fos-ters the communication across organizations. Implications/Limitations: The paper answers various calls for research on creating more insights into the studies on co-development projects fo-cused on the customer’s strategic perspective, highlighting the role played by collaborative platforms in favoring the learning process. Originality/Value: This paper tries to conceptualize a method to analyze the learning process in innovative projects, examining how a well-crafted NPD strategy requires a continuous alignment with the strategic goals of the customer.

ABSTRACT. This study aims to understand the links between neuroscience, physiological tools and stress, with the eventual neuroscientific impact of culture on the stress, in organizational, managerial and Information Systems (IS) fields through a social network analysis. It was conducted a systematic literature review and a bibliometric analysis by using one online database, such as Scopus. A dataset of 173 publications was analyzed through citation and co-citation analysis. Results of co-citation analysis shown the existence of a network of the 15 most cited sources and 2 topic clusters: the cluster of stress, work stress, of the effects of stressors, of the possible consequent physiological, cognitive and neurobiological responses with a consequent evaluation of a stress management training program in an organizational setting and the cluster of the study of events and conditions that influence deci-sion-making processes to verify whether they are stressors, analyzed also from a neurobiological point of view, with particular emphasis, in some contributions, on events that can generate technostress. This paper contributes to the literature by presenting a comprehensive overview on the link between neuroscience, physiological tools and stress in organizational, managerial and IS fields and leads to further reflections on the use of information and communication technologies to obtain even more sophisticated and more predictive neuroscientific information of stress and, consequently, of individuals’ behaviors and on the possible neuroscientific impact of culture on the stress.

ABSTRACT. Inconsistency always occurs between digital transformation (DT) strategy and information system（IS）and enterprise architecture (EA) planning. This symptom leads to repeated investment, de-lay, or failure in DT projects. In addition, it will create leakages in DT value. Moreover, in the dy-namic digital environment, the inconsistency of between DT strategy and EA planning process is exacerbated due to dynamic business strategies. This paper applies SEAM and BPM theories to explore the scenario method for applying EA to DT strategies operation to explain inconsistent strategic planning symptoms and outline the DT-EA strategy planning integration process frame-work. The research method of this paper is multiple case studies, and the data collection sources include semi-structured interviews of 106 interviewees, material collection, literature comparison, and observation. By comparing four critical cases, this research shows the relationship between DT and EA and reveals the dysfunction in DT strategic implementation from the SEAM and BPM perspective. In practice, this research integrates DT and EA to provide a context method for enter-prise DT strategy planning design.

ABSTRACT. This systematic literature review is performed to know about how entrepreneurial orientation (EO) literature is developing in relation to the intellectual capital (IC) and what is the literature’s main focus. The two clusters identified are, variables that are studied in connection with SMEs and large firms and the second cluster identified is the research works in which individuals’ entrepreneurial orientation behavior is studied i.e. through questionnaires the owners of very small businesses, such as restaurants, young graduated entrepreneurs. Most of the studies show that there is a significant positive relationship between IC and EO. This research study further shows that the IC and EO is not explored up to its full potential and there is room for a lot of research in the field. There is increasing trend seen in researches/ publications on the topic since year 2020. This study has implications for researchers, providing information on field’s progress and future research avenues. This study can also be helpful for training institutes, who train entrepreneurs and managers of large firms who are responsible for IC and EO management. The study can also be helpful for the public authorities in designing any policy for IC.

ABSTRACT. Digital transformation is changing competitive dynamics, calling for new strategies and models to handle emerging business challenges. It is also producing new opportunities related to the exploitation of digital media in business. Digital media are not only a means to deliver products and services, but also a channel to interact with consumers and a source of information on users’ preferences. Indeed, data shared by customers on the web, the User-Generated Content (UGC), can give entrepreneurs a detailed perspective of the market. This work examines an application of Natural Language Processing techniques on UGC to discover insights on users' opinions. We collected more than 13.000 reviews of software from digital stores (Google Play and Apple Store) and software review website (Capterra), to gather interesting and valuable information on the customers’ perspective and their response to a given marketing strategy in two case studies in Italy on digital product’s launch. The objective is to give support to two companies in the process of business model development through data-driven evidence. We aim to discover who are the users and which are their needs using a lexicon-based approach to identify that information in unstructured text. The results of the analysis provide qualitative and quantitative descriptions of the market segments in which a certain product can be distributed. The proposed approach is an effective method to examine UGC and to explore customers’ behaviour on social media. The findings helped managers for the development of their business model, enhancing an informed decision-making process.

ABSTRACT. Software robots are becoming increasingly adopted in different industries. The growing rate of automatization will affect more and more people and will result in changes in businesses of all sizes. Impacts can be observed at both the organizational and individual employee levels. A growing number of studies of software robots’ advantages and disadvantages on an organizational or industry-specific level have been carried out. However, there is limited knowledge about the employees’ perceptions of challenges and new skills needed when working with software robots. This study addresses this gap by using open-ended questionnaire responses from employees who have worked with software robots. This study aims to contribute to prior knowledge by identifying comprehensive sets of subcategories for employees’ perceptions of (1) the challenges as well as (2) the new skills needed when working with software robots. As practical implications, our findings can help organizations and individual workers prepare for the implementation and use of software robots by identifying potential challenges, planning for overcoming such challenges via suitable skills, and providing training for employees. According to our findings, many respondents mentioned learning new technical skills as a challenge, and because they have had to work with software robots, they have acquired additional knowledge, such as basic programming skills. Challenges related to reskilling constitute an interesting topic for further research.

ABSTRACT. In this paper, we introduce the concept of Digital Job Crafting as an evolution of the concept of job crafting. An in-depth literature review allowed to recognize that in the broad stream of research dedicated to job crafting, only limited attention has been dedicated to the effect that digital technology can have on the practices of job crafting. We propose to use the socio-technical approach to make such effect explicit and – therefore – to re-frame the concept of job crafting in a new integrated model. Two case studies are presented to explore the effectiveness of applying the model in different organizational contexts.

ABSTRACT. New modes of work such as smart working have removed the constraints of time and place and turned the traditional concept of work into a highly flexible phenomenon that can now be conducted anywhere through digital tools and workplace of technologies. After having experienced it in an unprecedented rate worldwide following the Covid-19 pandemic, many companies have vowed that these new work configurations are here to stay and will be more and more common. Organizations will continue to embrace them as a way of increasing employees’ satisfaction and revolutionizing operations. Despite the benefits often associated with new ways of work, evidence shows that many companies have struggled to cope with it. In light of the complexity of such adoption, we investigate through a longitudinal case study of a multinational company who embraced such initiatives before, during and after the pandemic, the main challenges and difficulties voiced by both managers and employees. The analysis of the findings shows that the main issues relate to excessive supervision, longer working hours, change of team dynamics and insufficient use of technologies, which call for a change in organizational culture and approach to new ways of working that goes beyond changes in individual tasks and work practices.

ABSTRACT. The acronym AI applied to Human Resources management evokes a futuristic imaginary, sometimes dystopian. The purpose of this qualitative and explanatory paper is to overcome the stereotypes that punctuate this universe. The research concerned secondary data obtained from scientific articles; reports and contributions found on accredited sites, in order to detect the potential and actual implications of these tools and how they affect the organizational culture of nowadays businesses. Through the analysis, the result indicated the positive linkage between artificial intelligence and different functions performed by HR departments, from acquisition to the retention of the employee at the workplace. Although empirical evidence demonstrates the benefits of using emerging technologies to support human resources management, many businesses still rise barriers and don’t understand how much is important to change the organizational structure, adopt an inclusive culture and consider these tools as a means of growth and not a social relations disruptor.

ABSTRACT. Nowadays, the number of organisations inside Industry 4.0 adopting new technologies based on Artificial Intelligence (AI) is continuously increasing. Scholars are not neglecting this phenomenon, investigating related topics, not only from a technological point of view but also in the organisational and societal domains. The goal of this paper is to provide a broad overview of the current debate on AI in organisation studies. To this end, we decided to perform a bibliometric analysis on 1102 articles published in journals belonging to organisation and management fields of the Academic Journal Guide. As a result, we identified a publication increase concerning societal and ethical issues about AI. Furthermore, through a co-word analysis, we mapped and described the main topics related to our research domain, finding that many of them are experiencing a period of renewed interest from academics. The following research is a starting point to deepen knowledge on AI and to find insights that could lead to new research opportunities.

ABSTRACT. This research work highlights the need for AI-powered applications and their usages for the optimization of information flow processes in the medical sector, from the perspective of how AI-agents can impact human-machine interaction (HCI) for acquiring relevant and necessary information in emergency department (ED). This study investigates how AI-agents can be applied to manage situations of patient related unexpected experiences, such as long waiting times, overcrowding issues, and high number of patients leaving without being diagnosed. For knowledge acquisition, we incorporated modelling workshop techniques for gathering domain information from the domain experts in the context of emergency department in Karolinska Hospi-tal, Solna, Stockholm, Sweden, and for designing the AI-agent utilizing NLP techniques. We dis-cuss how the proposed solution can be used as an assistant to healthcare practitioners and workers to improve medical assistance in various medical procedures to increase flow and to reduce workloads and anxiety levels. The implementation part of this work is based on the natural language processing (NLP) techniques that help to develop the intelligent behavior for information acquisition and its retriev-al in a natural way to support patients/relatives’ communication with the healthcare organization efficiently and in a natural way.

ABSTRACT. Customers' emotions play a crucial role in the service industry. The bet-ter the staff understands the customer, the better their service. Human emotions elicit measurable speech markers, such as increased speech rate or higher pitch, and AI can interpret these signals. In recent years, significant progress has been made in automatically recognizing basic emotions such as joy, anger, etc. However, there is a lot of disagree-ment regarding evaluating the crucial feature types and the feature di-mensions to be analyzed. By utilizing a systematic literature review of 81 articles, this article analyses the specification of context and DSR implications for feature types and emotion dimensions for emotional speech analysis. The results show that these are generally insufficiently specified. Accordingly, this paper aims to optimize the potential for generalization of DSR results and thereby improves theory building in this discipline.

ABSTRACT. The development and deployment of Artificial intelligence (AI) in organizations is of growing interest to the Information systems (IS) discipline. This can be approached from a sociotechnical perspective contributing to managing the unintended outcomes of AI while extending AI use boundaries. This paper presents the findings from a systematic literature review on organizational maturity and readiness for AI development and development. A key result is that extant research has lost sight of AI systems' humanistic and ethical aspects, and principles related to responsible AI are not sufficiently defined. This is a hurdle because principles for responsible AI are fundamental for AI development and deployment ensuring long-term benefits. Drawing from the literature review findings, we provide a conceptual maturity model with two main dimensions (responsible and instrumental), twelve conditions and thirty factors. The maturity and readiness factors for responsible AI are deduced from synthesizing 35 articles in related literature. Specifically, the paper identified six capabilities for responsible AI: AI model, Cooperative AI, ethical awareness, laws & regulations, data governance and continuous improvement; six instrumental capabilities were also identified: strategic alignment, technology, culture, data management, financial and human resource management.

ABSTRACT. Smartness represents a key phenomenon in the digital era. This also applies to the manufacturing domain, where researchers and practitioners discuss concepts such as smart machines, smart manufacturing systems, or smart maintenance services. While all those concepts are called smart, it remains vague what this smartness means. Considering this background, we want to understand what similar characteristics are implemented in those smart devices, systems, and services of the manufacturing domain that make them smart. Therefore, we conducted a systematic review of literature focusing on multiple characteristics associated with the smartness of devices, systems, and services in this domain. We synthesize our results in a classification framework – consisting of 9 dimensions and 37 characteristics. Our classification framework contributes to the existing body of knowledge by providing a more nuanced understanding of the implementation of smartness in the manufacturing domain and offering manufacturing practitioners a ‘guidance tool’ for exploring and designing smart devices, systems, and services. We conclude by discussing some gaps in the identified literature and corresponding future research opportunities.

ABSTRACT. Public organizations are developing the potential of information technology to drive collaborative innovation and contribute to value creation. Smart working is emerging as a new way to enable the work relationships as a framework which fosters collaborative innovation. Public organizations support a smart working mind set to enhance collaborative innovation. Smart innovative public organiza-tions shape collaborative spaces, using digital platforms to enable smart working as a way to drive collaborative innovation. The study is theoretical and relies on a literature review and analysis related to public organisations that aim to drive in-novation by embracing information technology.

ABSTRACT. Cybercriminals are getting more intelligent with their tactics in cyberattacks; by using a fake social media profile, they are capable of copying a legitimate profile and perform different scale attacks. In social networks, there are other types of cyberattacks such as Compromised Profile, Malicious Links and Content, Social Engineering, and Reconnaissance. Cascading impact in fact is not always caused through sophisticated attacks as observed in the case of SolarWinds by accessing to customer data. There are much simpler examples, one of which is the constant occurrence of business email compromise, or even cascading of cyberattacks in multilayer networks e.g., from social media into business operation. Multilayer networks are ones with multiple kinds of relations in multidimensional settings as an extension of the traditional networks. At the same time, we aim to explore the cascading impact of cyberattacks on multilayer social networks. This means how a cyberattack originated by using a fake social profile will cascade into all parallel multilayer net-works. We use dynamic processes in multilayer networks to understand how the cyberattacks are propagated. We use ML algorithms to detect fake and nonfake profiles, e.g. via a dataset in twitter, then use SIR (susceptible, infected or removed) model as a base generating simulated cascades with the goal of comparing them with real ones to assess how realistic this model performs in multilayer networks, e.g. in a dataset including profiles in Google+ - Instagram – Twitter to see how fake profiles are cascaded into parallel social networks.

ABSTRACT. The goal of this study is to investigate the impact of the use of social media on narcissism and well-being among Saudi Arabians. The IS literature shows a scarcity of research on how the use of social media can affect people narcissism, empathy, sympathy, and overall well-being, especially in an Arab context. Hence, this study can fill an untapped gap in a developing economy (i.e., Saudi Arabia). Saudi Arabia is considered a good fit for our study because of its high-rate usage of social media on the global chart. In addition, prior research lacks to examine how social-media narcissism can play a role as a comparative factor between males and females. We employ self-discrepancy theory as a theoretical underlying ground and develop a conceptual framework to understand the relationship between the use of social media and well-being. This relationship is channelled through empathy and sympathy, while moderated by narcissism. While well-established indicators are adapted from literature to ensure reliability and validity of the study’s constructs, the study is based on a field survey, which makes it implying association, not causation. Overall, the analogue between the use of social media use and empathy necessitates taking into account individual’s well-being and contribution of narcissism in order to produce an accurate theoretical index. Study potential contributions are communicated for theory and practice.

ABSTRACT. Robotic process automation (RPA) has been rapidly diffusing in organizations to automate monotonous business processes. Existing approaches for selecting business processes for RPA include process mining and individual interviews. These have been often charged by research and practice to be time-consuming, unsystematic, overly complex, and dependent primarily on individual perspectives. To address such practice and evidence gaps, in this empirical study, we aimed to explore whether and how group intelligence could be employed to select business processes for RPA. We drew on the design science approach commonly used in information systems and software engineering studies to design human-centered artifacts that fulfill actors’ needs and to assess such artifacts. The artifact designed in this study is a group workshop for RPA identification and selection. The workshop incorporates elements of the business process management lifecycle and nominal brainstorming. The workshop was designed drawing on the recommendations of the existing relevant literature. Then a real-life group-based RPA identification and selection workshop experiment was conducted with a group of employees of one of the audit firms located in the Netherlands. A follow-up survey and interviews were carried out with workshop participants to evaluate the workshop. This study proposes a new systematic group approach for identifying and selecting business processes for RPA, which could be applied in different contexts and organizations. The study also proposes a comprehensive agenda for the future and practice of human-centered RPA design and development.

ABSTRACT. Artificial intelligence (AI) is steadily entering and transforming the manage-ment, work, and organizational ecosystems. We observe AI-based applica-tions assisting employees in daily tasks, project management, decision-making, and collaboration. AI applications are increasingly assisting also Human Resource Management (HRM) in undertaking time-critical tasks and managerial and administrative decision-making. However, more in-depth and comprehensive studies are needed to understand the specific factors affect-ing the full adoption of AI technology from a multi-level viewpoint and ad-dress the potential limitations of AI appropriation or its adverse outcomes in HRM. The purpose of this study is to investigate the conditions in which human tal-ent may take advantage of the unique opportunities offered by AI. However, whereas previous studies were conducted on the individual perception of AI and technology readiness or adoption, an integrated approach aiming to combine talent management-related dimensions and managerial-related di-mensions is still not available. For this research gap, we build a strategic management assessment framework of the driving factors of Talent, Trust, and Technology (3T) in AI adoption in HRM. We investigate the impact of these trends on the human-related and technol-ogy ecosystems and provide an integrated analysis of individual micro (talent management) organizational macro (trust and technology) adoption of AI technology. The paper advances the current definition and understanding of individual human facilitators and impediments behind the ability to speed up the adoption of AI-based technology. The practical contribution can facilitate the human-centered and trustworthy design and adoption of AI.

ABSTRACT. The ability of employees to interact and work together as team is essential for the functioning and survival of organizations. Social capital, as a social network, have the propensity to enhance the quality of interactive relationships within organizations but physical interaction was defined as a crucial requirement for the development of generalized trust and other pro-social attitudes and behaviours. The introduction of IT (Information Technologies) change the way of information flow using innovate means of communication. The purpose of this paper is to examine the possible influence of IT in social capital. Through a qualitative case study, we collected data from survey involving 63 employees, users of LinkedIn, working at banking and telecommunications companies in Italy. The findings show that IT can enhance or hinder existing social capital within organizations and the variety of its influence depends on social network perspective such as bonding, bridging and linking social capital. We discuss the theoretical and practical implications of this research and provide suggestions for future research.

ABSTRACT. Additive manufacturing (AM) allows creating a product by adding the mate-rial layer by layer until achieving an end piece rather than using traditional technologies. The goal is to produce objects deriving from electronic data thanks to 3D printing – the most known form of AM – or other technologies. It increases the digitalization of manufacturing activities stimulating them in investing in innovative requirements and leading to major changes in the business ecosystem. It offers significant advantages allowing industries to optimize their processes, reducing the components required and the related costs. Furthermore, the capability to customize products positively affects the costs, the distribution, the market, inventories, and services related. AM can help the environment due to the potential in reducing the life cycle of materials, energy and water consumed by optimizing processes and could avoid the waste of resources. Significant benefits, strongly supported by tax and financial incentives and advantages, concern the supply chain processes and productive industries which reshore from developing to emerging coun-tries subverting the recent opposite trend and often shifting production to the local context. AM proposes a new manufacturing concept, increasing the speed and flexibility of production. This stimulates firms to be more resilient to pivot from one component to another and promote a different balance changing the relationship with the customer and creating new and dynamic connections. This study contributes to understanding how the AM change the way firms create and capture value. Our findings identify sev-eral opportunities to encourage further advances in this area.

ABSTRACT. This study investigates how digitalization affect the way company interact with their ecosystem and how introducing machine learning affects value co-creation processes. We adopted a configuration theory approach to propose a framework that focuses on the domains that must be taken into account when analyzing the value co-creation processes via machine learning and the corresponding value drivers. The configuration approach can be used to depict both static and dynamic aspects of organizations and their environments. The present study is composed both of a static and of a dynamic analysis. By means of a literature review we defined the domains to be considered when analysing the configuration of a value co-creation processes via ML and the corresponding value drivers. This part of the research leads us to a theoretically-derived interpretive framework. Secondly, we adopted a case study methodology to complement the static analysis and to conduct the dynamic part of the study, aimed at explaining how these domains interact in the value co-creation processes. Results show that ML fosters value co-creation by enabling multi-directional knowledge exchanges among value co-creators, and expanding the scope of value co-creation beyond the boundaries of firm-client relationship. However, it also poses some distinctive challenges in terms of organizational changes within the actors involved in value co-creators. Finally, though ML enables a continuous cycle of knowledge generation and sharing, it determines a substantive imbalance in knowledge management power among the actors involved in value co-creation.

ABSTRACT. The study aims to gain insight into the role of blockchain technology in its application in the music field from a value co-creation perspective. This role is discussed with the help of value co-creation literature. By focusing on a valuable case of blockchain application in the field of music, a qualitative study was undertaken to determine the value co-creation process occurring in this context. The study's findings relate to the role of the value co-creation process linked to the use of blockchain technology. Blockchain is transparent, secure, immutable, and decentralized. Given these characteristics, it is deemed helpful in dealing with operational and business issues besides financial transactions and also aimed to be used for interorganizational cooperation aspects. Accordingly, the link blockchain - music can create value in closing the gap between music and society through technology. The paper provides new insights into the antecedents and mechanisms of VCC, which span the micro, meso, and macro levels of context. It also illustrates the factors which underpin BitSong ability to embed VCC within its business models through operating in a value network.

ABSTRACT. Digital transformation (DT) is a major challenge for incumbent organisations with an astonishing failure rate. We review digital transformation in established, old, large, and incumbent organisations adopting a Structured and Computational Literature Review (SLR and CLR). We employ a machine learning algorithm (LDA) to inspect the topics discussed in 103 peer-reviewed studies published between 2010 and 2022 in the fields of Information Management, Innovation Management, Operation Management, Strategic Management and General Management. We extract and discuss the top-five key topics emerging from the studies to understand the state-of-the-art literature on DT in established firms. Then, we advance paradox thinking as a lens to study DT in incumbent settings. We contribute to the DT discourse by providing a multidisciplinary review of the current trends on the topic of DT of in-cumbent firms; moreover, we contribute by advancing paradox thinking as a novel lens to study DT in incumbent organisations, further proposing research questions and avenues; finally, we propose managerial insights in line with paradox thinking to create momentum and thrive as DT champions.

ABSTRACT. The socio-technical perspective has been recognized as the mainstream of Information Systems (IS) philosophy for decades. Besides, a complementary perspective in the IS philosophy, the socio-economic theory, would allow identifying more precisely the business problems, considered “Organizational Dysfunction”. Digital transformation is supposed to fix the specific business problem as cross-department communication, and it is essential to involve the analysis of organizational dysfunctions ahead. A case study was conducted in operation in China, where digital transformation was implemented to solve cross-department communication business problems. Beyond this specific business problem, this case study relies on the relevance of the theories “Organizational Dysfunctions” and “Socio-Economic Approach to Management (SEAM).” Focus group was adopted to figure out the key business problem, and semi-structured interviewing for the main root causes. It revealed digital transformation significance on the inefficient cross-department communication through the identification of the analytical results and the theories of Organizational Dysfunctions and SEAM.

ABSTRACT. With the introduction of cobots at work, the academic discussion has been centered mostly on the functional aspects of human robot collaboration and also on the implications that it has on the future of jobs. From a work design perspective, it is crucial to consider the meaning that the shared tasks at the intersection level of such collaboration have for individual aspects of work. Holding a job design perspective as an analytical toolkit, in this chapter we show that for different routine and non-routine tasks work characteristics, such as autonomy, task variety, physical and cognitive demands, task and skill development are simultaneously imbued with threats and opportunities. Such opposing logics suggest the importance to focus on the unintended and indirect effects of technology, and the great need to shape work design considering human-centered technologies. The study has implications for Hu-man Resource Management, as an important stakeholder in mitigating potential risks of poorly designed jobs.

ABSTRACT. The purpose of this study is to map the conceptual structure of the body of knowledge related to the stream of e-human resource management (e-hrm) and developed until now. Its aim is to contributing to a better understanding of this field. The research develops a bibliometric analysis of 184 articles following two steps. The analysis of descriptive performance indicators identifies the main traits of the debate on e-hrm. Then, the study performs a co-word analysis. To deepen the conceptual structure of the data set The results highlight a growing and spread academic interest in the research topic, especially in the recent few years, which confirms the usefulness of monitoring its evolution. The bibliometric analysis reveals that there are different streams of research in which the e-HRM debate is developed. Seven clusters were identified. Firstly, there is the predominant cluster covering the main issues (effectiveness, IoT, innovation), theories (TAM) and research methodology (SEM) within the domain. As well other clusters highlight specific areas of interest. For example: the eHRM in SMEs, the peculiar role of technology in managing personnel, the role of HR department. This paper contributes to the field by providing an examination of the current state of the art of research on e-HRM as well as identifying the current areas of speculation in the literature and may offer some suggestions for future development in the perspective of the new trends in hrm.

ABSTRACT. Digitalization of work takes the giant leap forward and that our society has entered the digital era. Smart working became the norm adopted by all institutions. With the spreading of covid19 pandemic, all organizations yielded to novel ways of working. The effect will be permanent, and digitalization of work takes the giant leap forward. Organizations need to support and develop competencies for smart working for the twenty-first century, and yet this is an area largely overlooked in the literature. The general objective of this article is to analyze how to effectively support smart workers build digital resilience using a competency-based approach. The development of a digital resilience framework outlines the core competencies for smart working. The model is based on a qualitative analysis of people’s perceptions related to smart working and digital resilience at both individual and institutional level. The results constitute a first step to how organizations can apply this digital resilience framework to support smart working.

ABSTRACT. Due to the processes of the virtualisation of work, organisations are facing profound transformations which are also changing their organisational culture. The mainstream academic literature defines organisational culture in terms of shared meaning i.e. patterns of belief, symbolism, rituals, and mythology, which evolve and functions as a source of cohesion for an organisation [1]. Therefore, it argues that organisational culture develops within organisations through a top-down approach [2]. However, as emerging technologies and the virtualisation of work have brought about substantial change [3], it is necessary to redefine the concept of organisational culture. Considering the different approaches to organisational culture, the present research aims at analysing how it is formulated within virtualised organisations [4] that have several peculiarities both in terms of organisational designs and soft competencies [5-6-7-8]. Despite the increasing prevalence, this aspect has received little attention within academia. We will analyse the bottom-up perspective through the lenses of Socio-technical and Complexity theories [9-10-11], as well as compare academic and grey literature to highlight the need for a change in the mainstream approach to organizational culture.

ABSTRACT. To cope with changes in business environment, many studies provide insights into how organizations can sense and respond to changes. While sensing and responding capabilities are complementary in order to be agile, few studies (if any) have examined antecedents for sensing and responding capabilities separately. This study presents a case study of a service provider that became and remained agile during the health emergency and explores various antecedents support organizations to sense and respond to changes separately.

ABSTRACT. As organizations increase their use of data, among scholars there is growing interest in data governance and data-driven culture, and studies suggest investigating the relationship between these two phenomena would provide a better understanding of data behavior in organizations. Thus, this exploratory research investigates the relationship between data governance and data-driven culture using partial least squares structural equation modeling (PLS-SEM). The results show the relationship between data governance and data-driven culture is strong, and that it is mediated by data quality. Additionally, based on the Resource-Based View of the firm, our results indicate data governance and data-driven culture should be addressed jointly when evaluating their contribution as an organizational resource.

ABSTRACT. The research aim is to understand how emerging technologies, and in particular the blockchain, affect business organization in the agrifood industry. In particular, it explores how decentration, distribution and digitalization ledged could be inte-grated in the precision agriculture in order to allow organizations to share infor-mation with stakeholder, to improve relationship with customers, and to develop a network with other firms. After, reviewing the IS literature on emerging technologies in agri-food industry, with peculiar reference to the blockchain technology for precision agriculture, it is analyzed the case of BioLu, a small innovative Italian farm located in Campania Region. Our results shown how emerging technologies support precision agricul-ture through data collection and exploitation for entrepreneur (e.g., decision-making) and consumers (e.g., food traceability), rather than agrifood supply chain.

ABSTRACT. Effective and sustainable open innovation is essential for firm success. Open Innovation (OI) is often enabled by information systems (IS) such as crowdsourcing and collective intelligence plat-forms, because they bring benefits not possible using traditional methods for idea generation. However, decision making during the idea screening, evaluation and selection stage of the inno-vation process tend to be affected by a range of biases that existing IS have not successfully over-come. This paper describes a design science research project that created a new IS artefact with novel affordances based on debiasing strategies and new aggregation methods based in Bayesian epistemology. The IS was designed to support user engagement with evidence-based innovation hypotheses and debias decisions during the innovation process. Preliminary evaluation of the ar-tefact, contributions to IS literature and future research opportunities are discussed.

ABSTRACT. Open innovation has challenged and redefined the way organizations approach innovation and interact with stakeholders in the business environment. The democratization of work life has led to an increasing degree of inclusion of ordinary employees in the innovation processes, known as employee-driven innovation. Research on employee-driven innovation has up until now strongly focused on the characteristics and prerequisites for this form of innovation to arise. To a lesser extent, research has looked at how to facilitate the process of employee-driven innovation within organizations. Hackathons have emerged as a structured way to approach innovation in many organizations, especially software companies. In this study, we use a major international software company as a case study to look at the extent to which hackathons can facilitate employee-driven innovation, and especially digital innovation. We name this employee-driven digital innovation for two reasons: 1) because innovation processes are digitally mediated and 2) because the innovation products are also digital. Finally, based on theory from employee-driven innovation, we provide guidelines on how hackathons should be designed to increase the effects of hackathons as an enabler of employee-driven digital innovation.

ABSTRACT. The paper wants to focus on some digital tools used for the open innovation process. Intermediaries are assuming a significant role. For many companies, establishing relationships with intermediaries has become essential and challenging because they have the knowledge required to undertake many activities that reside outside the company's boundaries. As innovation and idea generation processes become much more open, there is more collaboration between intermediaries and companies. Paper proposes the Empathic Digital Twin as a method for idea development through collaboration in the value creation process.

ABSTRACT. Organisations are called upon to adopt Open Innovation approaches in an era where Digitalization is increasingly in demand, especially during the Covid-19 pandemic. The topic of Open Innovation is closely intertwined with Digitalization. This paper discusses the value that smart working can contribute as an Innovative and Sustainable Open Innovation approach. The key pillars on which the smart working culture is based, such as collaboration, individual autonomy and teamwork, are briefly discussed. Finally, the paper presents a research proposal to create a platform to support smart working employees.

ABSTRACT. This qualitative study investigates the formation of positive online customer experiences in the context of online grocery shopping. This study analyzes customers’ written descriptions of the causes of their positive experiences when visiting an online store. Data were collected with an online survey of 581 respondents. The case company is a Finnish online retailer, Fiksuruoka Ltd. Fiksuruoka’s business idea is to sell food waste; its product range consists of surplus groceries that are in danger of being disposed of. The findings show that four main themes contribute positively to the online customer experience. Positive customer experiences were explained by factors related to 1) the shopping process and online store features, 2) shoppers’ finds, 3) pricing, and 4) the shopping context (food waste). Under these themes, 17 subthemes were identified. The findings emphasize the smoothness of the shopping process and low prices in a positive customer experience. It is also essential that the online store foster feelings of success, enjoyment, and self-satisfaction among customers. The joy of discovery and the ability to act for a good cause were identified as essential contributors to a positive online customer experience.

ABSTRACT. Digital technologies and the Internet constitute an indispensable part of children and adolescents’ daily life. In this context, the influence of digital devices and Internet usage on children and adolescents has emerged as a broad research field. Particularly, the impact of social networks has surfaced as a prominent research question, focusing also on how social media and influencer marketing influence children and adolescents’ consumer behaviour. Contributing to this literature, in this paper we present the qualitative research we conducted in Greece within the scope of the European Research Project DIGYMATEX. More specifically, we discuss the findings we collected through qualitative research concerning the online consumer behaviour of children and adolescences, especially in relation to the use of the Internet for market research and online shopping, and the impact that social media and influencers exert on the consumer behaviour. The data was collected through six focus groups with the participation of 23 children and adolescents, aged 9-18. Apart from contributing to the existing literature with findings from Greece, our study highlights the need for further research on the relationship between advertising literacy and self-regulatory mechanisms, considering also the element of gender, and the potential connection between digital maturity and advertising literacy.

ABSTRACT. This paper explores Augmented reality (AR) user behaviour, specifically by focusing on user experiences and expectations and the role these might play in the context of the AR adoption rates. It focuses on the usability of AR and underlying motives that might drive users to adopt or reject AR technology. To achieve this aim, multiple sources and qualitative methods, e.g., online reviews and users’ reflections, have been used as they can give context-specific and rich understanding to help inform how individuals make use of AR apps. This study sheds new light on how AR apps, users, and social practices are interconnected by synthesising affordance and social practice theory (SPT) theories. Affordance theory has been used through the process of the walkthrough technique to investigate potential affordances arising from the application of AR technologies in the service sector. Our preliminary findings identified ten AR App affordances that potential users could actualise where there is coherence between SPT elements. The next step of this research is to apply SPT elements, e.g., meanings, competency, and materials, to better understand three major characteristics of usability (interactivity, compatibility, and credibility) associated with current AR apps that might promote and/or prevent potential users from actualising their affordances.

ABSTRACT. As Decentralised Autonomous Organisation (DAO) is a new emerging form of organisation with unrevealed characteristics, this study examines how DAO can be classified in terms of organisational design theory and provides an overview of its characteristics. The investigation could further provide guidance on what types of organisations can be easily transformed into a DAO. A deeper look into the knowledge base on organisational design theory and organisational forms is essential as well as characteristic properties. In regard of DAO, the underlying concepts of blockchain and smart contracts are marked as they serve a better understanding, which is needed to characterise DAO. An analysis of DAO will specify how they are classified in terms of organisational design and how they differ compared to traditional organisation forms, which will be displayed in an overview. The results are discussed and concluded, also comprising the highlighting of potential paths for future work.

ABSTRACT. Artificial Intelligence (AI) made disruptive progress over the last years, becoming a key technology across industries. In particular, AI offers novel distinctive opportunities for intelligent services in fi-nancial technology companies (Financial technologies). However, given the opportunities of AI and its associated benefits, the question arises why financial technologies fail to leverage the full potential of AI. Drawing on existing literature, this paper elaborates on the opportunities and risks associated with AI in the financial sector. This paper makes two key contributions: First, we discover the present challenges in literature to demonstrate the need for explainable AI. Second, we reveal the lack of guidance for applying explainable AI in financial technologies. We derive recommendations for re-search, policy, and practice and argue for the increased elaboration of legal frameworks for the re-sponsible use of AI.

ABSTRACT. Artificial Intelligence (AI) has affected different functions of businesses including Human Resources, and particularly, recruitment processes. With Chatbots (conversational agents) systems in place, HR can perform tasks like identifying, selecting, and interviewing talented candidates quickly and efficiently. This study offers an overview of the current state of chatbots usage in recruitment and selection processes. For doing this, we performed a literature review. We have retrieved academic articles from Scopus and Web of Science until March 2022. Also, we complemented the information retrieved with several searches on Google so as to find interesting grey literature and information. First, we define a chatbot and discuss its technical and social requirements. Second, we explain how chatbots are currently used in R&S processes in organizations, their benefits and their cons. By doing this, we seek to give AI and NLP developers valuable insights when creating chatbots for recruiting objectives.

ABSTRACT. In recent years, the acceptance and use of intelligent robots and other kinds of intelligent systems have begun to gain more and more attention also in information systems research. Here, many studies have found the perceived intelligence of robots to act as one critical antecedent for their acceptance and use, but few studies have focused on the antecedents of perceived intelligence itself. In this study, we aimed to address this gap in prior research by examining the effects of individual intelligence dimensions on the overall intelligence perception of robots in the work context. In addition, we also examined the potential differences in these effects as well as in the individual intelligence dimensions and overall intelligence perception themselves between three common types of robots: physical robots, software robots, and chatbots. These examinations were based on online survey data from 1,080 present or prior users of robots at work. In summary, we found that adaptability, personality, autonomy, and multifunctionality act as the most influential antecedents of perceived intelligence in the case of all three types of robots. In addition, we also found that software robots and chatbots perform better than physical robots in most individual intelligence dimensions and in overall intelligence perception.