ABSTRACT. Despite many reforms efforts during the past decades, the Italian judicial system is still poorly performing. For this reason, Italy’s Recovery and Resilience Plan includes specific measures to reduce the length of civil proceedings, improve the efficiency of the justice system and reduce the backlog of pending cases. Among such measures, a relevant role is assigned to the strengthening of the Ufficio del Processo (UPP), originally established in 2014, through the heavy recruitment of new personnel with competences not only in law but also in management, organization, public administration, and ICT. From an organizational perspective, the injection within the Italian Courts of multidisciplinary competences was intended to activate change management processes toward the implementation of a more collaborative organizational model based on horizontal coordination and better integration between the judicial and the administrative structures. Based on a case study and organizational ethnography methodology, the qualitative paper, reports some preliminary evidence concerning the local implementation of the UPP program considered as a change-management process within a highly regulated organizational system. The data collected from four courts in a North-Western area of Italy highlight some critical factors that limited the potential transformative impact of the UPP and that should be removed to make the implementation of the UPP a true change management process.

ABSTRACT. Companies should ensure that they constantly improve their business processes. Digital technologies can support them in doing so. Latest process mining technology is a key enabler for process improvement as it endorses the identification, (re-)design, implementation, and scaling of the leanest processes. However, many organizations are struggling especially how to implement and scale process mining initiatives since there is no operating model covering this endeavor. Accordingly, the objective of this article is to develop an operating model for process mining which we refer to as the diamond model. It is grouped into (1) drivers of the model, and (2) enablers for process mining. We derive seven lessons learned on how to best leverage process mining in companies. Underpinned with the results from our literature review, these lessons learned should help other companies willing to implement and scale process mining for its value creation. For research purposes, we present avenues of future research.

ABSTRACT. This study takes into a broader project intended to investigate the Digital Transformation (DT) process of Non-profit Organisations (NPOs). This research refers to the empirical part of the project. Specifically, we adopt an explorative approach to develop a multiple-case analysis of 10 NPOs operating in the United Kingdom. We design and develop a semi-structured interview based on a conceptual DT framework for NPOs defined in a previous step. At the same time, we adopt a socio-technical perspective to carry on the empirical investigation. This study focuses on preliminary analyses of the first wave of interviews with those NPOs’ directors, coordinators or founders. We present some findings, such as the impact of DT on the NPOs’ work, ecosystems, and the effects of the pandemic on their routine. Moreover, we discuss some difficulties in moving from a theoretical perspective to real NPO scenarios. These findings are building a knowledge base to develop a thorough, in-depth (three-stage open, axial and selective coding) analysis. The final remarks focus on the long-term ambition of this research, including limitations and contributions.

ABSTRACT. An extended abstract is submitted below

ABSTRACT. This article explores the relationship between organizational culture, climate, and employee well-being, emphasizing their significance for long-term company success. It investigates the impact of various stressors on individuals’ well-being and highlights the growing recognition of human capital and the increasing focus on employee well-being. Climate analysis is a valuable tool for identifying strengths, weaknesses, and promoting employee involvement. The research utilizes a case study approach, using a questionnaire to assess employee well-being and organizational climate. The results indicate positive overall well-being, particularly considering dimensions such as communication, cooperation, autonomy, and accountability. However, trust requires improvement. The findings suggest targeted interventions to managers in order to enhance trust and engagement.

ABSTRACT. The use of state-of-the-art technologies to process big data deriving from tourism can be crucial for a post-pandemic recovery of city destinations focused on sustainable tourism strategies. Therefore, the aim of this research is to investigate how smart city destinations are integrating tourism and urban development strategies to build sustainability. A comparative case-based qualitative methodology is developed considering the strategies implemented by cities of Lisbon and Florence in integrating tourism big data within a smart city destination strategy focused on sustainability. Results show similarities in cities´ objectives and visions, differences in their strategy development, barriers encountered in the process, and sustainability outcomes. In addition, results show how integrating tourism big data in smart city destination strategies contributes to sustainable urban development by supporting the economic, social, and environmental dimensions of sustainability although these dimensions might not always be simultaneously supported.

ABSTRACT. The predominant use of private cars is the root of several problems like traffic congestion and air pollution in cities worldwide. While it is generally believed that mobility apps as part of smart city initiatives can help influence mobility choices in favor of public transport, there is not much empirical evidence for this. This study used a choice-based conjoint analysis to examine mobility choices among 185 private car commuters. By adopting a service-dominant logic perspec-tiv, we analyzed the influence of physical and virtual servicescapes on public transportation choices for the commuters. In contrast to previous servicescape lit-erature, we found that the physical (e.g., overcrowding of a vehicle) and the vir-tual servicescape (e.g., app layout and functionality) influenced commuters’ mo-bility choices. Our study also found that commuters who had no information about travel times by public transport before using apps continued to choose pri-vate cars for commuting.

ABSTRACT. The rise of smart cities is a significant trend in urban development. However, only in recent years has the focus on the international promotion of these cities become prominent. Despite ongoing academic discussions on the impact of smart city development on urban environments, the global recognition of smart cities is uncertain due to their multidisciplinary nature. Therefore, we conducted a systematic literature review of articles published in top-tier peer-reviewed journals from 2008 to December 2021, providing a comprehensive analysis of existing literature. Specifically, focusing on the geographical location as a driver of cities' international promotion strategies, we highlight the local drivers and the smart cities' outcomes of urban trajectories in different geographical contexts. The paper concludes with a conceptual model aiming to contribute to smart city debates by providing further evidence of the role of geographical location in smart city trajectories

ABSTRACT. The objective of this study is to assess and emphasize the potential mesostructured architecture of established behaviors and operational practices within the public sector, which were impacted by the pandemic emergency and the subsequent change in working models. The Technology Acceptance Model (TAM) was utilized to evaluate the readiness, perceived usefulness, and ease of use of technologies after the intervention of the exogenous shock. Furthermore, the Theory of Planned Behavior (TPB) was used to assess the motivation and intention to change employees' working habits through the lens of complexity and urgency. The study highlights the compression of Rogers’ bell curve and the importance of top-down knowledge management processes and transitional leadership in facilitating the transition. Semi-structured interviews were conducted with public managers in Italy to gather data. Change is often perceived as a shock in the social and organizational community, particularly in the public sector, which generates tensions. Therefore, the study aims to investigate the sustainability of using digital tools in the workplace as a regular habit based on perceived usefulness and ease of use during the post-urgency period. Additionally, it explores how the From-Knowledge-to-Knowledge-Strategy (FKTKS) approach can structure operational change in working practices for the public sector, by the transitional leadership and avoiding toxicity in the organizations. The study provides valuable insights into how the pandemic emergency, together with the need for digitization, has broken down the reluctance to change in the public sector, and how smart working can be used to structure lasting habits based on perceived utility.

ABSTRACT. This study provides insight into the consumer's experience and the factors that trigger complaint behaviour among eShoppers of Tech-products from Amazon after the surge of COVID-19. The online survey was used to collect data from Amazon eShoppers. In total, 316 response data were subjected to reliability and validity analysis, along with the PLS algorithm and bootstrap significance analysis to validate the structural relationships. Justice was proved to be a second-order reflective construct having three latent constructs (procedural, distributive, and interactional justice). A significant positive relationship between justice, security, and consumer satisfaction was found. Similarly, word of mouth and consumer satisfaction account for a positive significant impact on complaint intention. The framework is a novel contribution towards eCommerce DSC and provides implications for DSC managers and eVendors to evaluate the eShoppers concerns in the context of digital social exchange, particularly after COVID-19.

ABSTRACT. Technological hypes have always characterized societies because new technologies that afford to do things previously thought to be beyond the grasp of humanity. One of the main mechanisms of hype creation is the prefiguration of social disruption: making visible in the present the image of a desired or ideal condition of social change in the future using public talk, symbolization, and commoditization. The consequence is the ‘future industries' creation of predictions and prophecies by actors involved with the emergent hype. As the hype rises, these actors use the means of the present to perform the desired ends of the future, such that ‘real utopias’ or ‘as-if realities emerge as tangible, embodied, and inhabited. This study unpacks how hypes about emergent digital technologies, particularly blockchain technology, are shaped by actors’ efforts to navigate multiple logics to pursue the promise of social disruption. It studies how entrepreneurs’ and media’s different prefigurative strategies contributed to the emergence of hype around the field of blockchain for social good. Specifically, it documents the importance of technological logic as a way to integrate and reconcile multiple logics (market and community) and different prefiguration strategies (long-term and short-term) enacted by different actors (i.e., ventures and the media) in the emergent market. We contribute to the literature on hypes in entrepreneurship, the role of multimodality in entrepreneurship, and multiple logic work in emergent digital fields by highlighting the role of prefiguration and the understudied role of technology as a societal logic with constitutive and performative effects.

ABSTRACT. This research contributes to the literature with a methodology for the ex-traction of standard naval routes from AIS data (data from international na-val Automatic Identification System). A fundamental objective of our work is to support environmental surveillance of maritime activities, including the detection of anomalous ship behavior and safe&rescue operations, both involving a need to define the expected behavior of ships in terms of stand-ard routes. Previous research mostly focuses on the comparison of the per-formance of different statistical and machine learning techniques. In our work, we draw from previous research the best performing ML approach (unsupervised) and we focus on the design of an end-to-end data processing pipeline that combines ML techniques with data pre-processing rules and geographical information with the goal of making data usable. Our method-ology has been tested on a 3-year time series of AIS data, with a focus on the Arctic region. Results show how standard routes can be effectively ex-tracted with good precision owing to the robust sequence of our methodo-logical steps. Our algorithm has identified roughly 400 standard routes in the Arctic region, starting from a total of over 140 million AIS messages. Results show how working on data cleaning, accurately calculating distance among routes, and applying two phases of clustering on different sets of fea-tures are crucial for the dependability of results. Further work will be con-ducted in the ARCOS project to build a complete, longitudinal dataset of standard routes to be released as open data.

ABSTRACT. In the past, great efforts have been made in the field of business information systems acceptance and usage to better understand, which parameters influence the acceptance and use. However, often those studies remain on the individual level of analysis. In the paper hat hand, we extent extant research to the organizational level and allow for an analysis over time employing data from an agent-based simulation model. We find that the complexity of the organization’s environment negatively affects acceptance and usage of business information systems which eventually leads to a decreased organizational performance. This has implications for the management of business information systems in changing environments.

ABSTRACT. In terms of renewable energy adoption, Italy is making a decent progress by shifting towards biomass, solar and wind to reduce its reliance of fossil fuels. However, a rather new alternative to traditional onshore wind power plant, offshore wind power projects are becoming more and more popular in Europe. Italy is still in its early stage with only one project operational in the Mediterranean Sea. To foster the growth of more such projects it is advised by the European Union to engage in risk assessment methodologies and studies able to provide a smooth transition towards the deployment of such technologies. This is where the goal of this study comes in, making it the first study to perform a risk analysis on the only standing offshore wind power plant in Italy. For this purpose, this work uses a rule-based Failure Mode and Effect Analysis (FMEA) approach integrated with the interval type-2 fuzzy Pythagorean. The risks adopted from the secondary literature with the help of experts are based on the sustainability factors such as technical, economic, environmental and socio-political. The risks are based on the phases of planning, commissioning and the operational stages. A total of 25 risks are assessed based on severity, occurrence and difficulty in detection which are subsequently filtered through the 125 rules for more effective outcomes. The risks that are rated to be the most critical would then be assessed to provide corresponding risk management strategies.

ABSTRACT. The study explores whether the introduction of robots in job interviews in-fluences candidate’s assessment and hiring recommendation, and applicant’s fairness perceptions. Competence ratings is examined using Howard and Fer-ris’ (1996) model of job interview in a social and situational context, and fairness perceptions is examined using Gilliland’s (1993) organizational jus-tice model. Attitudes toward technology and core self-evaluations (CSE) are also included as potential moderators. A within-subjects study with twenty-one participants experiencing human, avatar, and robot-mediated interviews as both interviewers and interviewees was conducted. Preliminary findings suggest that while traditional interview settings (human-human) are still pre-ferred, there were no significant differences in competence ratings, and fair-ness perceptions across the three interview conditions. There is, however, a small significant difference in hiring recommendations. Attitudes toward technology and CSE did not play a significant role in the robot and avatar settings

ABSTRACT. This paper critically examines the role of human factors in organizational cybersecurity through a systematic literature review using a bibliometrics approach. In an evolving digital landscape, cyber threats have outpaced the capacity of organizations to secure their operations, with economic and psychological implications escalating. While technology-based defenses are essential, the paper posits that cybersecurity strategy should also account for human behaviors and vulnerabilities. The results highlight individuals' critical role as potential weak links or safeguards within the digital realm. Bibliometric analysis conducted on a pool of 200 papers extracted from Web of Science (WoS) database. Findings consolidate the idea of cybersecurity as a sociotechnical domain and underscore the need for a comprehensive cybersecurity strategy, transcending purely technological defenses, to incorporate aspects of human behavior, emotions, and organizational culture. This work also stresses the efficacy of strategies such as deterrence, fear appeal, continuous education, and sector-specific policies in improving Information Security Policy (ISP) compliance. The paper concludes by suggesting some potential future research to bolster both theory and practice.

ABSTRACT. This study aims to analyze the implications regarding employees’ engage-ment and well-being arising from adoption of remote working (RW). Further, the conjoint impact of job resources (JRs), precisely social support and in-fluence at work, on RW is analyzed with regard to the different generations at work, starting from the premise that generations have peculiar attitudes towards JRs, asking for different strategies in work design. In order to reach our goals, we use data from the European Working Conditions Telephone Survey-EWCTS 2021, offering a large sample of 71,625 employees in Eu-rope. The regression analysis findings demonstrate that RW predicts reduc-tion in work engagement and well-being among employees, measured ac-cording perception by employers. In detail, some interaction do exist be-tween RW and JRs especially for the younger generations compared to older ones. These results offer interesting stimuli for the debate among scholars and practitioners in RW and generations at work, suggesting the relevance of par-ticular attention with regard to the different generations at work and the working conditions more fitting the related different approach, where RW is becoming increasingly relevant and being sp expected to continue in its dif-fusion.

ABSTRACT. This study takes into the NextGeneration EU plan with regard to the project entitled “ECOSISTER: Ecosystem for Sustainable Transition in Emilia- Romagna” by the Italian “Piano Nazionale Ripresa e Resilienza” (PNRR). This research refers to the sub-area of the project focused on circular economy. Specifically, the aim of this research is to explore the current state of the art of the circular economy debate by performing a bibliometric analysis of the literature. To this end, we extracted 1060 papers published from 2007 to 2023 using the Scopus database. Then, we apply the bibliometric methods in carrying on performance analysis and science mapping investigations. The outcome of this work is twofold: (i) to quantitatively describe the existing research and its evolution by considering refereed journals in the business domain; (ii) to recognise the main topics characterising the discourse by performing a co-word analysis. This preliminary study seeks to pave the groundwork to provide a quantitative overview of the thematic evolution and conceptual structures concerning circular economy research. These findings are building a knowledge base to define a theoretical and methodological position for the next research steps in the context of the ECOSISTER project: development of models and evaluation systems based on organisational factors and HR practices to implement sustainability and the circular economy in industries operating in the Emilia Romagna region (Italy).

ABSTRACT. Agricultural industries' digitalization generates organisational, technologi-cal, and social changes. Although the agricultural sector is mainly tradition-al, the adoption of digital technologies has increased in recent years, leading to increased productivity and efficiency. Studies on the digitisation of agri-cultural industries have increased in the literature, but they analyse different countries and contexts. Studies analysing a country like Italy and identifying the enabling factors useful for adopting digital technologies are absent. For this reason, the objective of our study is to analyse the questionnaire to identify the enabling factors to be tested, through a non-parametric test, to verify the existence of a significant connection between the enabling factors and the Italian firms adopting digital technologies. The results show the significance level of factors concerning others and the difference in the sig-nificance of the factors between the different digital technologies. The study presents theoretical research implications and perspectives for future research.

ABSTRACT. This paper presents the results of a literature review of artificial intelligence in the non-life insurance industry to provide a picture of the use and impact of Artifi-cial Intelligence technologies in this industry. To do this the study conducts a litera-ture search and review of publications about the subject (Grant and Booth, 2009). Five generic themes emerged from the analyzes of the articles collected: the overall theme of artificial intelligence in the insurance industry, artificial intelligence in claims management, insurance and process automation systems, claim analysis and artificial intelligence, impact of artificial intelligence in the insurance industry.

ABSTRACT. In this systematic literature review of 50 academic papers, this study delves into the factors influencing the adoption and success of cryptocurrencies. These factors are categorized into intrinsic and extrinsic perspectives. Intrinsic aspects relate to the inherent properties of cryptocurrencies. As a unique technology, their success hinges on the innovative blockchain foundation. As a monetary form, their appeal lies in perceived economic advantages and the ideological draw of a new financial order. Extrinsic factors cover market dynamics and individual traits. Market elements such as regulatory structures, network effects from growing adoption, and supporting technologies either foster or inhibit cryptocurrency usage. Personal attributes like curiosity, risk tolerance, financial knowledge, and tech proficiency profoundly impact an individual's propensity to embrace cryptocurrencies. This research presents a detailed framework of these intertwined factors, providing critical insights for various stakeholders in the cryptocurrency realm, facilitating informed decision-making.

ABSTRACT. In this paper we explore the exacerbated challenges that middle managers experience as their translation effort is situated in virtual space, as compelled by the Covid-19 crisis. We draw on insights from ANT perspectives and on data obtained from interviews, online observations of WebEx meetings and focus groups with members of two units of the operation department of an international bank. Findings show that the way actors (dis)engage in mutual gazing due to the positional offset between the capturing camera and display is imposing time inefficiencies that bring forth disadvantages in aligning meanings and interpretations, crucial to moving in a common direction. To refine responses, middle managers leverage novel technological affordances. Also, as the more intuitive and emotional components of ‘performing the translation’ are now being mediated from digital technology, they are found to have implications on a middle manager’s embodied understanding of per-forming their identity in a skilled way.

ABSTRACT. Organizations are investing in data science capabilities to gain competitive advantages. Yet, not much is known about how organizational context shapes data science capabilities to create value. This paper is based on a set of case studies. By conducting semi-structured interviews, this study shows that cross-functional collaboration, openness towards external data sources, coordination of data curation tasks, innovation orientation, organizational culture and agility influence the development of data science capabilities. Our findings have implications for the IS literature on data science by showing the importance of organizational arrangements.

ABSTRACT. Smart cities keep arising and are gradually reshaping the geography of innovation technology-enabled and supported by smart urban policies. In this study, we aim to examine the localization of high-tech SMEs in different urban environments, focus-ing on the Italian landscape for an 8- year period (2013–2020). This research has been carried out on a heterogeneous sample of 250 high-tech SMEs from “startup.registrodelleimprese”, employing descriptive analysis using T-test and U-test. Our findings demonstrate that the location choices of high-tech SMEs are influenced by smart urban policies with strong emphasis on innovation and competitiveness but also, they show the importance of SMEs in changing the entrepreneurial trait of urban environments. This contributes to the ongoing debate on the importance of smart urban policies in shaping the spatial distribution of high-tech SMEs and offers insights for policymakers, urban planners, and stakeholders seeking to foster innovation-driven economic development in urban areas.

ABSTRACT. Growing digitalization of the urban environment, especially in smart cities, enables the development of e-government initiatives. The Intelligent Cities Challenge initiative of the European Commission supports European cities in their transition towards a green and digital economy; it empowers cities to implement e-government initiatives. This study represents the first attempt to provide a detailed overview of the actions undertaken in the e-government domain in the framework of the ICC project. This study offers insightful information about the programs and initiatives implemented by Italian and Greek local governments to support the implementation and development of e-government initiatives in European smart cities. The study reveals the importance given to administrative simplification and the adoption of online platforms to offer effective and user-friendly services to citizens and stakeholders, the strong emphasis on open data culture and platform development, and the importance of citizen involvement and engagement in developing smart city initiatives.

ABSTRACT. As smart communities, cities of the future aim at becoming inclusive cities using the potential of technologies to drive citizen-centric development by adopting a smarty city strategy and vision to urban planning in order to promote and shape inclusive urban growth and communities, improving the quality of life, and developing the city as inclusive community. Inclusive urban development relies on smart cities and communities. Cities support collaborative and inclusive urban spaces, selecting a smart city view to urban development. Smart cities shape the city as inclusive community.

ABSTRACT. This study aims to shed light on how entrepreneurial-related sustainability awareness and diffusion of digital technologies affect entrepreneurial intention at the country level. To reach this aim, the study developed and operationalized the concept of sustainability shortage perception in both the digital and the physical environments. Specifically, it investigates how the perception of physical and digital sustainability shortage, combined with the overall perception of entrepreneurial opportunity, influences entrepreneurial intention at the country level. The study employs two country-level databases and data from the Internet, combined in a time-lagged dataset of 48 countries worldwide, analyzing data with a configurational approach. This study contributes to the literature by investigating the role of digitalization and sustainability awareness in opportunity recognition and entrepreneurial intention formation. Besides, it first introduces the concepts of perceiving sustainability shortage in the digital environment and develops a way to measure it. Finally, employing a configurational approach provides evidence that both digital and physical sustainability shortages are relevant in influencing the country's level of entrepreneurial intention.

ABSTRACT. Worldwide spreading of Covid-19 disease had serious consequences in term of the number of victims and the economic and social impact of re-strictions adopted by governments as countermeasures. Among the affected sectors, research recorded a drop in scientific production, although mitigat-ed by the diffusion of digital platforms for smart working and collabora-tion. Resilience is the capacity or ability to adapt, recover, and bounce back from challenges, setbacks, or adversity. In this paper, we adopted a quantita-tive approach based on semantic techniques and complex network analysis to investigate how the Italian community of information systems reacted to the pandemic. In details, we collected and analysed the scientific papers of the itAIS conference from 2007 to 2022 and we studied the performance of female and male researchers before and after the event. Finally, we compared the results to draw some conclusions related to the level of resilience of the information system researchers during the pandemic. In detail, we observed that females were more resilient to Covid-19 since their authority level de-creased less than that of the males.

ABSTRACT. Since the last decade, the world economy is passing through the transition towards digital transformation and sustainability. Both concepts have been viewed to solve the grand challenges, especially climate change. The aim of this study is to explore the literature integrating digitalization and sustainability in top-ranked business journals. taking the appropriate sample dataset, this study adopted the literature review methodology through the taxonomy development approach for the analysis of research characteristics and topic characteristics. The findings of this study provide the recent trends and the integration of digitalization and sustainability literature in top business journals. The analysis highlights a clear understanding of the research characteristics and topic characteristics about the topic. The findings suggest a unique set of taxonomies and multidimensional analysis from organizational, technological, and research points of view. This study extends the existing literature by providing important directions for future research.

ABSTRACT. This article presents a preliminary analysis of the use blockchain tech-nology as tool for decision-making process with a sustainability orientation in supply chains of fashion. In the fashion industry, information on various sustain-ability aspects has been the focus of business operations, this is because thanks to the implementation and control of sustainability among suppliers, is possible to select those best suited to luxury production. The Blockchain tool used for the textile supply chain has many advantages, to emphasize transparency and trace-ability for the benefit of the various sustainability aspects. The methodology adopted in this study, to verify the potential utilization of blockchain technology as a decision-making tool for promoting sustainability within companies, primarily entails the administration of a questionnaire to a tar-geted sample of professionals within companies in the fashion industry.

ABSTRACT. Economics disciplines treat the numbers as trivial, acquired and without critical edges. However, various psychological, cognitive and neuroscientific studies sometimes indicate this treatment is invalid. Studies on the perception of numbers and quantities are in full swing. There are many contrasts and second thoughts. Initially, our work shows some elements strictly related to the cognition and perception of numbers. To do this, we briefly introduce some aspects raised by Leibovich [BBS 40(e164):1-62, 2017]. Then, we brush up and reflect on three experiments by Schley & Peters [Psychol. Sci. 25(3):753-761, 2014]. They include both the perceptual and the economic side of numbers. Through these experiments, it is possible to study how the distorting effects of the perception of numbers affect decisions even when the evaluations are based on symbolically presented numbers. Finally, we introduce an economic model formulated by Khaw et al. [Rev Econ Stud 88(4):1979-2013, 2021]. This model has considerable experimental confirmations and opens up broad research perspectives.

ABSTRACT. Based on a broad qualitative empirical analysis carried out within the Italian Ministry of Justice’s Project “Next Generation UPP”, this study identifies labour turnover as one of the main issues in the public sector and, particularly, in the judiciary’s organization. The high turnover that affects both the administrative and judicial staff of the courts results in relevant negative outcomes in terms of loss of efficiency and effectiveness of the justice system. This study contributes to understand the (possible) influence of well-organized remote working in decreasing turnover flows that are not related to better career and salary opportunities. A wide, in-depth qualitative data collection is leveraged to inductively develop: (a) the novel construct “remote work effectiveness”, with three operationalizable dimensions (work remotability; availability of remote working resources; and remote working capacities), and (b) an emerging model of how remote work effectiveness may mitigate personnel turnover and improve performance. We suggest that while this study’s results were inductively developed based on the judiciary organizational context, they are generalizable to other branches of the public administration and, possibly, also to private organizations.

ABSTRACT. The article focuses on the development of a digital device aimed at improving workers’ well-being in a corporate programme. First, it shows the difficulties of jointly developing a device for workers well-being and embedding it in a real organisation. Second, it demonstrates how the end device embodies a concept of well-being which is limited by some constraints related to the context, e.g., how work is structured and coordinated, and power relations established among the various actors involved in the technology’s design. In doing so, the article draws implications for the HR function regarding the design and management of well-being in increasingly digitalised workplaces.

ABSTRACT. Sustainability and Human Resources Management (HRM) are increasingly important concerns for small and medium-sized enterprises (SMEs). Our study focuses on the intersection between sustainability, HRM, and Small enterprises analysing that through the lens of performance in terms of average added value per employee (AAV). Two research questions have been addressed in this study: (1) How do HRM practices and sustainable practices impact performance in terms of AAV in Small Enterprises in Italy? (2) Do Italian Small Enterprises driven by activities aimed at promoting employee welfare and sustainability have a higher AAV? Datasets from the Italian Institute of Statistics (ISTAT) - including the Permanent Business Census and the periodic "Labor and Wages" dataset - have been utilized to provide insights into the relationship between sustainable HRM practices and productivity in Italian Small Enterprises. In particular, as expected we found that some practices correspond to a higher average added value (such as incentives based on results, assessment of worker skills or activities promoting physical and psychological well-being), Surprisingly, we also found that some sustainability practices (i.e. flexibility of working time, flexibility in the way the work is performed, activities that improve employee equal opportunities and parenting, reducing the environmental impact of activities, mobility between functions and job rotation) are related to a lower average added value. We discuss these results and provide a possible interpretation from which we derive opportunities for future studies. The inherent limitations of the study, in particular those related to the databases utilized, are declared and debated.

ABSTRACT. Industry 4.0, digital transformation and sustainability are increasingly shaping the manufacturing sector. The objective of our study is to observe, through an explorative case study, how digital transformation is influencing SMEs, operating in the context of the fashion industry. The case study aims to identify, through semi-structured interviews and the analysis of secondary sources, the enabling factors and barriers that have characterized the digital transformation of a manufacturing company focused on research and technological innovation since its inception. For the case unit, digital transformation seems to be a natural evolution of the company due to its intrinsic nature, oriented towards research, innovation and development, open to change in order to remain competitive and meet market demands. Future research is needed to examine the medium- and long-term implications and as yet little explored innovation paths related to the implementation of the I4.0 model in SMEs, especially in the fashion industry. From a managerial point of view, on the other hand, the study offers an example of how an SME managed to carry out its own internal reorganization of production processes, and which barriers it overcame exploit-ing the knowledge and digital skills of its human resources combined with the experience gained over the years in the sector.

ABSTRACT. Lightweight IT opens up new possibilities for organizations to become more innovative and react more flexible to environmental changes. Furthermore, the fact that lightweight IT does not require deep IT skills allows for the im-plementation of respective lightweight solutions through business depart-ments. However, lightweight IT not only creates new opportunities, but also poses new challenges for organizations, especially for IT Governance. Based on existing IT Governance frameworks, I investigate the design of light-weight-specific Governance frameworks in practice and elaborate respective advantages and disadvantages. Based on this, I identify factors that influence the design of a lightweight-specific IT Governance. I build my research on a qualitative approach based on in-depth interviews with experts from the NGO sector.

ABSTRACT. Public sector organisations are undergoing significant changes in human resources, strategies, and operations due to hybrid work and digitization [1]. During times of change, it is crucial for organisations to preserve and nurture their organisational culture to ensure it adapts to evolving circumstances [2, 3]. This paper analyses the role of organisational culture in public administration (PA) during a specific changing scenario: the transition to a hybrid working modality. The paper investigates a small public university of 350 employees, 149 of which are administrative staff. The aim of the paper is to analyse whether, in a public organization, especially in a small university, organisational culture, and, in particular, the alignment of values and trust and active participation, influences an administrative employee's individual choice to work remotely or in-presence. Empirical studies on this topic are limited. Some new research indicates that an innovative and flexible organisational culture should be built upon employees' needs and values, characterized by shared values and trust, and active participation [4]. The research adopts a mixed-method approach, involving interviews with the General Director of the University to understand the organisational values, objectives, practices, and strategies for fostering the culture. Subsequently, an online questionnaire was given to the administrative employees, yielding interesting results. The main focus is on examining how organizational culture, values alignment, and decision-making regarding work modes (in-person and hybrid) in public administration are interconnected. The analysis reveals that values alignment does not impact operational mode choices, but active participation is a significant factor.

ABSTRACT. Decision-making process is one of the most challenging topics that is discussed in different ways in various fields and has become one of the interdisciplinary fields. Therefore, identifying the influential factors on decision-making has formed a considerable part of decision-making research. Although artificial intelligence and its various dimensions are a pervasive technology, one of its challenges is the conflicting results that exist in the decision-making process. Therefore, the aim of this study is to explore the debate concerning the impact of artificial intelligence components on the decision-making process with a meta-synthesis approach. In this regard, 23 articles were analyzed using the software MAXQDA. The results indicated that a comprehensive understanding of the relationship between AI and the decision-making process requires considering multiple factors and their interplay.

ABSTRACT. Social media (SM) enables, among the others, the creation of new business mod-els by favoring company's networks. SM impacted also sport ecosystem. Within sports sponsorship, SM fostered the rise of the athlete brand (AB), where the athlete gives shape and life to a recognizable personal brand. Companies invest in it with the aim of linking their name to the brand created by the athlete, thus mak-ing him/her a testimonial for a product, even having no relation with sport. Within this scenario, this work focuses on two aspects. It considers that, in build-ing their AB, women experience more difficulties and barriers based on gender bias. Secondly, in recent years (especially in the USA) athletes increasingly used their AB to espouse social causes by expressing, on SM, thoughts on them, thus raising awareness. Basing our research on the Italian scenario, we investigate if, in strengthening their AB on SM, Italian athletes publish also contents related to social issues. Particularly we look both for any gender difference and if they pay off to rein-forcing their AB on SM. We examined Instagram profiles of the six most fol-lowed athletes (3 male and 3 female) using Not-Just-Analytics to check the per-formance of social topic-related posts against the total posts in a period of time. Our results clearly show that there is a profound disparity in male and female be-haviors with reference to the space they dedicate to socially relevant topics, both in the number and, specially, in the relevance obtained by the posts.

ABSTRACT. This study investigates the collection of social media signals without exclusive reliance on application programming interfaces (APIs). The current research on collecting social signals for disaster management is primarily focused on APIs. This approach is valuable, but it also presents a range of challenges that need to be taken into account. Thus, the extent and regularity of data collection may be impacted, posing challenges in obtaining comprehensive and up-to-date information. In light of this knowledge gap, we put forth a compelling argument in support of non-API approaches for gathering social signals from social media platforms. To answer the research questions, a qualitative methodology employing an inductive approach was used to gather and analyze data from officers working in disaster management organizations (DMOs). By adopting this approach, noteworthy themes and patterns emerged and were carefully examined, ultimately resulting in the derivation of the research findings. The study highlights the potentials of social signals in enhancing decision-making across various phases of disaster management. Through innovative techniques, DMOs can leverage social signals from public posts, comments, and interactions to gain in-sights into user sentiments, opinions, and real-time updates. These insights greatly assist decision-making at different stages of disaster management, including preparedness, response, recovery, and mitigation. Overall, the study emphasizes the effectiveness of gathering social signals from social media platforms without relying solely on APIs, highlighting their potential to improve decision-making in disaster management.

ABSTRACT. Religion can be seen as a driver of social change in both individual and collective behavior. With the emergence of interactive technologies and the new media, the way religion is perceived has experienced changes and evolved to be present also in virtual spaces. In order to understand the promotion of religious beliefs and organizations, this could be approached to digital marketing research, as an increasing number of religious organizations are making use of the opportunities digital marketing provides to reach out to believers and bring religious lessons to a wider audience. This article aims to investigate the role and influence of digital communication and social media in the religious context of research. We developed a systematic review of two databases, as well as top journals that publish in religious studies. We found several internal (e.g., attitude towards the usefulness of internet, length of time as a user, individuals’ religious beliefs, etc.) and external drivers (e.g., affordance of social media, persuasive messages, etc.) of adoption of new media, as well as evidenced the existence of both positive (e.g., empowerment, promotion of norms and values, etc.) and negative outcomes (mis and disinformation, divided online public sphere, protest stimulating, etc.) for individuals, organizations and society as a whole. While research has experienced increased attention, the findings of this study suggest there is still room for future research to expand from existing findings and drive attention to less investigated constructs or adopt different methodological perspectives.

ABSTRACT. The Covid-19 pandemic caused significant disruptions for businesses, including those in the food sector. This paper presents a bibliometric analysis that explores the relationship between the pandemic and digital transformation in the food industry. We analyse both academic and practitioners' documents to provide a comprehensive understanding of the post-pandemic digital landscape in the food sector. The analysis of scientific articles reveals that the academic discourse on the topic is growing, indicating sustained interest in studying the effects of Covid-19 on the food industry. Five thematic clusters emerge from the analysis: the impact of Covid-19, food production and supply, digital transformation and business model innovation, employees' wellbeing, and consumer behaviour. These clusters demonstrate the interconnections between various aspects influenced by the pandemic and the role of digital technologies in addressing the challenges. To complement the academic analysis, we also examine practitioners' documents obtained from Nexis Uni. The content analysis of these documents provides real-world insights into the debates and practices related to DT in the food industry. The findings highlight the dual perspective of academic and practitioners' sources, offering a holistic view of the research topic. This study contributes to the existing literature by shedding light on the evolving relationship between the pandemic and digitalization in the food sector. By leveraging a bibliometric approach, the research captures the state of DT adoption in the food industry after the pandemic outbreak. The findings provide valuable insights for academics, practitioners, and policymakers interested in understanding the implications of DT in the food industry.

ABSTRACT. In this paper, we analyse how and to what extent the adoption of digital technologies in the food and retail sector is a driver for the pursuit of sustainability objectives, and therefore for the creation of sustainable value. The in-depth analysis of the literature presents a scenario that scarcely corresponds to the picture drawn by the empirical study. Thanks to a multiple case study on six companies, and leaders in the food sector in Italy, it was possible to highlight a general immaturity of the relationship between digital technology decisions and sustainability strategies in this sector. The paper identifies possible reasons for the current state as a basis for future improvements.

ABSTRACT. This work explores the growing importance of the human component in Digital Twin (DT) design and implementation, challenging the validity of the legacy, purely cyber-physical paradigm. In fact, recent advancements in key ena-bling technologies have expanded digital twin applications to encompass complex socio-technical ecosystems, such as smart cities, highlighting the ever-increasing relevance of humans in these contexts. Consequently, the traditional mechanistic bipolarity of the physical twin/digital twin paradigm, derived from industrial engineering, is proving inadequate to model such highly anthropized landscapes. This requires aligning the digital twin model with the prevailing trend of a human-centric digital transformation. Therefore, propose an extension of the DT legacy paradigm to a triple-based model that formally includes the human component. This proposal is supported by epistemological justifications, international case studies, enabling methodologies, ongoing pilot projects, and future research directions.

ABSTRACT. In recent decades, scholars from various research fields have been fascinated by studying the intricate dynamics that govern the evolution of cooperation among individuals. Due to this fascination, scholars have conducted investigations mainly adopting experimental and computational approaches. It is possible to adopt some strategic constructs housed within Game Theory to investigate these dynamics. This work is focused on the Snowdrift game, a strategic construct commonly used to explore potential conflict situations among individuals. To further contribute to this literature, we present the main findings gleaned from a series of computer simulations. Potential variations in the expected payoff that fictitious players can achieve under different conditions were examined in a two-scenario Snowdrift game. Different payoff parameters characterise each scenario. The fictitious players were imbued with strategies in tune with Game Theory principles. We examine the distribution patterns of strategies for each scenario from an ecological perspective. Our findings are consistent with the mixed strategy Nash Equilibrium of the Snowdrift game. Conversely to the first scenario, a higher proportion of cooperators stands out in the second scenario. As our findings highlight, the expected payoffs generated by the combination of strategies undergo profound transformations depending on the subtle manipulation of the crucial parameters ruling the payoff structure of the game.

ABSTRACT. The existing literature on experimental studies addressing collective action problems has flourished rapidly in recent decades. When individuals are faced with bargaining as well as cooperation situations, collective action problems can arise, as is known. These situations could lead to issues of free-riding and corruption—as actually happens both in the laboratory and reality—particularly when individuals have unequal initial resources. The experimental design we propose in this work arises from combining three games, focusing on the endogenous creation of initial endowments. The payoff from the Ultimatum Bargaining Game will be used as an initial endowment to participate in the Public Goods Game conceived as a real-effort task. The total payoff from the Public Goods Game will be utilised as an initial endowment in a subsequent game called Bribery Game. We consider the opportunity of bribery to assess the experimental subject’s willingness to bribe successively. The final payoff will be decreased if the experimental subject bribes beyond a specified threshold. By randomly dividing the entire subject pool into treatment and control groups, we can investigate the phenomenon of conditional contribution. With this in mind, our experimental design can potentially study the production of local and global public goods with a marked novelty-induced profile.

ABSTRACT. A distinguishing feature of complex adaptive systems is that they can be viewed and described within a multileveled framework and not simply through a narrowly quantitative effects perspective, wildly when competing approaches, hypotheses, and data are concerned with emergent properties and human behaviour. When considered within the above framework, the intricate and ubiquitous nature of today’s urban areas, along with the data science and information-based strategy that drive them, has now reached the point where an integrated analysis of urban big data infrastructure (UBDI) can be outlined. Nevertheless, although there is more data and information than ever, refining and validating further assumptions, conjectures, and models we have relied on would be appropriate. In these lines of work, the first purpose of this paper is not so much to advance the science accordingly as to understand which dimensions emerge from the state-of-the-art concerning the nascent literature on big data infrastructure related to an urban extent and which methodological challenges it entails. A second—and most original—purpose is to sketch a pre-analytical microfoundation of UBDI by representing an adjacency tensor of multiplex networks. With this in mind, we consider UBDI as a novel hybrid organisational form designed by adopting a unified and holistic perspective that considers all the critical dimensions contributing to developing urban big data infrastructure within contemporary cities. The main focus, therefore, becomes what is meant by the pivotal role of people in the urban ecosystem, seen as a complex adaptive research frame.

ABSTRACT. The relationship between innovation diffusion and privacy is often controversial. On March 31th 2023, the Italian Data Protection Authority (GPDP) determined the temporary suspension of ChatGPT in Italy on account of illicit data collection and processing practices. This study uses the Twitter debate as a proxy to examine how the Italian landscape responded to the suspension of ChatGPT, and its perception on the innovation-privacy trade-off. Our findings reveal that the intervention of the GPDP sparked an active and socially engaged reaction. Both popular and less popular users played significant roles in the flow of information, with popular users being more central in terms of connections and less popular users demonstrating stronger brokering capabilities. The suspension of ChatGPT had an impact on the sentiment and content of the debate, with the majority of users expressing negative opinions in their contributions. However, contributions mentioning VPN and alternatives to ChatGPT generally showed a more positive sentiment compared to those emphasizing privacy. This suggests that users' negative sentiment was mainly connected with the inaccessibility of ChatGPT rather than to privacy concerns. Consequently, the Italian landscape viewed the GPDP intervention more as a restriction rather than a protective measure, prioritizing innovation diffusion over privacy considerations.

ABSTRACT. Covid 19 presents a major challenge and opportunity for remote working, highlighting the need for electronically mediated leadership in team tasks and performance. The social dynamics underlying the leadership benefits of conflict management in virtual teams remain elusive thus far. This study focuses on the leader's conflict management dynamics in VTs. From the perspective of leadership as a solution to social problems, we argue that leadership is related to functional team problem solving solution-oriented, framed within the e-leadership and conflict management literature. Therefore, the authors formulated the following research questions to guide the analysis to conduct the bibliometric study: What is the current extent and analysis of research on the relationship between leadership and conflict in virtual workgroups? Who are the most influential authors and articles in the field of leadership and conflict in virtual workgroups? How have key-words and topics related to leadership and conflict evolved in virtual workgroups and what are the implications for future research? Some of the responses emerged from our review of the existing literature on VT; others are rooted in the team's larger literature or discussed within the VT practitioner literature. Within the domain of VTs, technological innovation is re-shaping team interactions, enabling previously disconnected individuals to collaborate. As a result, VTs hold great promise for organizations and the field continues to be filled with research opportunities for the next few decades. Our analysis affirms the increasing interest in this topic and marks an initial exploratory phase of the literature study,guiding future research steps

ABSTRACT. This study aims to understand the links between neuroscience, physiological tools and technostress, considering the potential role of Artificial Intelligence, in organizational, managerial and Information Systems (IS) fields through a Systematic literature review and Bibliometric analysis. The analysis was conducted using one online database, such as Scopus. A dataset of 36 publications was analyzed through citation and co-citation analysis, and co-occurrence analysis on all keywords. Results of co-citation analysis shown a network of the 56 most cited sources and 4 topic clusters. While, results of co-occurrence analysis shown a network of the 34 most used keywords and 3 thematic clusters. The results reveals the existence, in Scopus, of few papers on the topic emphasizing the need to expand the analysis by using more tools to detect the neural mechanisms activated in techno-stressful situations and to understand the role played by the Artificial Intelligence and Metaverse on technostress, also in neuroscientific terms, and to understand if they can help to reduce techno distress. So, this paper contributes to the literature by presenting a comprehensive overview on the link between neuroscience, physiological tools and technostress in organizational, managerial and Information Systems (IS) fields, also considering the potential role of Artificial Intelligence, and leads to further reflections on the use of information and communication technologies to obtain even more sophisticated and more predictive neuroscientific information on technostress and, consequently, of individuals’ behaviors.