ABSTRACT. This paper details the creation of a novel Comparative Digital Maturity Model (CDMM), enabling organizations to dynamically benchmark their digital maturity against peers by utilizing real-time, publicly available news data sources. Traditional Digital Transformation (DT) models typically rely on static data such as annual reports, interviews, and questionnaires. Ad-dressing this gap, our model adopts a Practice-Based View (PBV) within a Design Science Research (DSR) methodology, ensuring a robust, iterative development process through focus group discussions and expert inter-views in collaboration with industry stakeholders. The results demonstrate that the CDMM effectively captures the evolving nature of DT across sec-tors, providing continuous, up-to-date assessments that overcome the limi-tations of static evaluations.

ABSTRACT. Technological advances have expanded the collaboration between humans and artificial intelligence (AI) in the workplace, driven by the use of large data sets that enable more accurate analysis and predictions. In this study, we categorize four forms of human-AI collaboration: (1) conjoined agency with legacy mode, (2) conjoined agency with compliance mode, (3) con-joined agency with augmentation mode, and (4) conjoined agency with autonomous mode. We have developed a human-AI framework in which we discuss the most important characteristics. We then explain each one of the conjoined agency modes by reviewing the literature. In doing so, we discuss in detail the different ways in which organizations can select depending on the type(s) of conjoined agency they use in their organizational decision-making.

ABSTRACT. To be genuinely competitive today, organizations cannot ignore ethical issues and their impact on the environment and the community. In the fashion industry specifically, the issue of sustainability has become central as the socio-environmental impact of the industry is enormous. The fast fashion model adopted by so many companies operating on the global market is the exact opposite of the ethical dimension of fashion that has been needed in recent years [1]. Can innovation and the opportunities the Metaverse offers be the way to a more sustainable fashion? In recent years, many start-ups have sprung up that exclusively produce digital fashion, and many other companies whose core business is mainly in real life (IRL) have integrated digital fashion into their business strategies. Through the investigation of four case studies, the paper aims to investigate the lights and shadows of digital fashion in the Metaverse, trying to clarify whether this model is compatible with the need for a more sustainable fashion, especially from an environmental point of view.

ABSTRACT. In an era where sustainability and innovation are increasingly recognized as critical drivers of corporate success and societal progress, understanding their interplay and impact on longstanding issues like the Gender Pay Gap (GPG), the overcoming of which is a relevant component in social sustainability, is paramount. In our study, we examine how sustainability actions moderate the relationship between innovation, defined including both product and process innovation, and the GPG in organizations. Using exploratory factor analysis, we identify two significant factors regarding sustainability: Factor 1 is focused on environmental and safety initiatives, and Factor 2 is centered on collectivity and territory. Regression analysis reveals that innovation has a positive impact on GPG. Sustainability Factor 1 shows a slightly negative relationship, and Sustainability Factor 2 has no direct effect. However, interaction terms indicate that sustainability actions moderate the influence of innovation on GPG. The analysis supports the hypothesis that different dimensions of sustainability moderate the effect of innovation on the GPG in different ways. By understanding these dynamics, companies can develop strategies to foster both innovation and gender equality in the workplace.

ABSTRACT. This study investigates circular business models (CBMs) within the “ECOSISTER: Ecosystem for Sustainable Transition in Emilia-Romagna” project, aligned with and funded by the NextGeneration EU plan. Focusing on the circular economy (CE) sub-area, we explore how CBMs contribute to the circular transition of Emilia-Romagna organisations operating in the agri-food ecosystem. Despite growing interest in CE, the comprehension of the role of organisational networks in new CBMs, remains limited due to limited theoretical grounds and scarce empirical investigations. This study aims to address such a gap by designing and conducting theory-grounded empirical research based on case study analysis, focusing on the representative cases of Parmigiano Reggiano and Mutti. Drawing on extant literature, we design semi-structured interviews, aiming to unfold the characteristics of organisational relationships and the role of organisational networks in innovative CBMs. This preliminary study lays the groundwork for data collection and analysis, proposing a semi-structured interview structure aimed at developing theoretical propositions on the role and characteristics of organisational networks in CBMs. Our findings contribute to the understanding and development of new network-based business models for implementing CE in agri-food industries.

ABSTRACT. This work presents a novel platform that leverages artificial intelligence to support innovation and business development, focusing on start-ups. The platform addresses critical market gaps by integrating human-centric design and sustainability principles. The discussion begins with exploring the conceptual framework and defining key concepts such as innovation, digital transformation, human-centric approaches, and sustainability. By identifying current market needs, the work articulates how the platform is positioned to meet these needs effectively. The detailed development process highlights the design and architectural framework, key development stages, and stakeholder engagement. Potential applications and benefits for various user groups within the innovation ecosystem are explored through specific use cases. The work also examines the potential implementation challenges, including technical, market adoption, and scalability issues, which are addressed alongside ethical considerations related to using artificial intelligence, such as privacy, data security, bias, and fairness. Success metrics and evaluation methods are proposed to assess the platform's effectiveness. The work concludes with future directions, outlining immediate next steps. It contributes to innovation management and business development by offering a practical solution grounded in robust theoretical foundations to foster sustainable and human-centric innovation.

ABSTRACT. The adoption pace of Generative Artificial Intelligence (GAI) is swift, yet the factors specifically affecting GAI acceptance remain underexplored. Building on the long-standing tradition within information systems to elucidate technology acceptance, this paper adopts an exploratory approach given the novelty of GAI. An interview study involving thirteen experienced digital leaders from established companies has been conducted to understand GAI acceptance among human agents. This inquiry has led to the development of the GAI Acceptance Model (GAIAM), which highlights trust, hedonic motivation, convenience, efficiency, and effectiveness as antecedent factors. The proposed model demonstrates that performance expectancy and perceived value creation, influenced by context factors, serve as appraisals that ultimately lead to behavioral intention and usage intensity. GAIAM may serve as an initial model for grounding the acceptance of GAI at an individual level of analysis and encourages further research in this area. Additionally, the hypothesized model provides practitioners with guidance on which levers they can proactively manage to increase the intensity of GAI usage among human agents.

ABSTRACT. Industrial symbiosis is an inter-organizational strategy to pursue environmental sustainability outcomes and circular economy practices. While the literature extensively reports such benefits for the planet, there is a lack of studies summarizing their enablers. Therefore, this study addresses this gap by conducting a meta-review. Industrial symbiosis enablers are analyzed through the socio-technical lens. The results show that there are three main industrial symbiosis technical system enablers: information systems, cleaner and Industry 4.0 technologies. Three further industrial symbiosis social system enablers are top management commitment to developing inter-organizational sustainable production, the establishment of an integration role between government and the Indsys organization, and knowledgeable workers.

ABSTRACT. The gig economy has expanded beyond platform-based work and is also transforming standard organizations that are accustomed to stable employment arrangements and long-term-oriented HRM practices. The shift towards gig workers and blended teams disrupts standard HR practices due to the short-term, transactional nature of gig work. This research investigates the implications of gig work on HRM practices in standard organizations. Specifically, we 1) examine the trends and perspectives of HR professionals on the use of gig work in standard organizations, 2) investigate whether HR professionals apply standard HRM practices for gig workers, and 3) conduct a longitudinal analysis of HRM perspectives applicable to gig workers before and post-COVID-19 pandemic. To achieve these research objectives, we employ natural language processing techniques to analyze more than 500 YouTube videos of HR professionals offering their opinions about gig work. The findings suggest that despite the widely conceived notion that gig workers are ‘self-managed’, various HRM practices are utilized in the context of gig work.

ABSTRACT. The aim of this research in progress is to systematize knowledge related to the social sustainability dimension of well-being and its corresponding indi-cators within a comprehensive framework. The well-being literature seems quite fragmented and the research streams of social well-being and organizational well-being remain disconnected, even as remote work and other new working modalities increasingly blur the lines be-tween work and personal life. Furthermore, the Strategic Human Resources Management (SHRM) literature urges consideration of the effects of HR practices, including those related to organizational well-being, both inside and outside organizational boundaries, by adopting a multilevel approach that also considers the extra-organizational level. A systematic review is employed to systematize the concept of sustainable well-being, and serves as the foundation for the development of a compre-hensive theoretical framework examining articles from both research streams, and address measurement and analytical approaches at their inter-section adopting an extended multilevel approach that takes into account the fact that the organization is an open system and that HRM practices influ-ence citizens’ well-being, just as policymakers' decisions influence employ-ees’ well-being. The theoretical framework will be validated in a subsequent phase of the research adopting the citizen science approach. We expect that the systematization in a framework of well-being constructs and measures will allow to guide both policy-makers and organizations in developing sustainable well-being policies with the final aim of creating a social intelligence system.

ABSTRACT. As healthcare organization are challenged to face the trade-off between available resources and patients’ healthcare necessities, it has become crucial to perform economic evaluations and comparatively analyze alternative courses of action in terms of both their cost and consequences in the allocation of healthcare resources. Telemedicine has been identified as a possible solution to implement a valuable healthcare offer, while limiting its costs. Using technology, it allows promptness in service delivery, access to consultations with specialists that are not always available in every healthcare structure and avoided travel expenses to reach the facilities. Most economic evaluations of telemedicine have so far adopted a cost-effectiveness approach, integrating it with an economical savings focus, however findings have often been inconclusive. This study aims to explore cost-benefit analysis of telemedicine services as it offers great potential in this field, placing money values on both inputs and outputs of healthcare activities, that translate into costs and benefits for different stakeholder involved. This contribution adopts a scoping review methodology to assess scientific literature and map available evidence on cost benefit analysis of digital healthcare to understand what has been so far explored, identify challenges that might prevent healthcare organizations from adopting this promising approach and suggest possible solutions. It aims to answer the research questions regarding how benefit deriving from telemedicine services are being monetized in cost-benefit analysis, which specific costs are being considered, which stakeholders are mostly involved in cost-benefit analysis regarding telemedicine services and which positive outcomes emerge for them.

ABSTRACT. The ever-increasing use of mobile phones in the last few decades has brought forth many advances and changes into various aspects of life and society and healthcare is one of the most fundamental ones. mHealth applications are becoming more and more prominent and essential for providing to patients a comprehensive and holistic approach for their health and wellbeing, with applications that allow remote connection between patient and physician, diagnosis and monitoring. Of course, there are challenges that arise from this increased reliance on mobile applications for health, one of which is guaranteeing the security of the sensitive health information and patient records that are accessed, transmitted and stored via these applications. This work presents a bibliometric analysis of published work in cybersecurity for mhealth applications, in order to identify the emergent themes and trends in this research area and the interconnection of thematic keywords between these two topics. The goal of this is to provide insights into the evolution of the role of cybersecurity in mobile health application development and provide ideas for future, interdisciplinary work in this research area

ABSTRACT. Self-tracking through activity trackers has become increasingly popu-lar, enabling individuals to monitor and assess their own health. These devices record physical activities such as step counts, distance covered, sleep patterns, and food intake, promoting healthy living and encouraging individuals to engage in more physical activity. With the rising global prevalence of obesity, activity trackers play a crucial role in combating this issue by motivating users to adopt healthier lifestyles and combat sedentary behaviors. Gamification elements inte-grated into activity trackers, such as rankings and reward systems, enhance mo-tivation and user engagement. However, despite their potential benefits, many users discontinue their use of activity trackers shortly after adoption. The impact of emotions on sustained usage of activity trackers remains largely unexplored. This study addresses the research gap by investigating the influence of happiness and sadness on continued use of activity trackers. Understanding the role of emo-tions in this context can provide insights into designing effective interventions to promote long-term engagement with activity trackers and facilitate healthier be-haviors.

ABSTRACT. This study aims to understand the relationships between Artificial Intelligence (AI) and Technostress. Understanding how AI and technostress are related helps improve both managerial practices and the future of work and organisations. It was conducted a systematic literature review and a bibliometric analysis by using two online databases, such as Scopus and WOS. A dataset of 64 publications was analyzed through citation and keywords analysis. Results shows a growing interest about the relationships between AI and Technostress in the organisational field. The analysis of the papers shows, also, specific topics addressed by each paper linked with the principle of the relationships between AI and technostress within organisations. This paper contributes to the literature by presenting a com-prehensive overview on the topic and leads to further reflections on the possibil-ity to expand the studies in no profit and business sectors.

ABSTRACT. Breast cancer is a major global health concern, and early detection is critical for improving patient outcomes. Traditional methods of diagnosis have limitations in accuracy and efficiency, Artificial Intelligence (AI) has the potential to en-hance breast cancer diagnosis. However, the successful implementation of AI depends on the knowledge, attitudes and practices of radiologists towards it. This is qualitative study using a selective coding approach to extract learnin our learnings. Radiologists recognized AI's potential benefits but also raised con-cerns about its accuracy, limitations, and unintended consequences. Results also identified challenges, including trustworthiness of AI, the need for reproducibil-ity and standardized examinations, training requirements, patient acceptance, and financial constraints. The findings emphasize the importance of providing education and training, establishing guidelines and protocols, ensuring transpar-ency, and addressing financial barriers to facilitate the effective adoption of AI in breast cancer diagnosis.

ABSTRACT. Technological evolution has forced a profound rethinking of traditional work organization logics. In recent years, many organizations have implemented work organization models based on remote working and artificial intelligence (AI). At the same time, a new generation of workers prefers to work in dy-namic, digitally advanced and above all flexible contexts, using remote working. These new contextual elements impose new paradigms in the field of human resources management (HRM). In fact, HR managers, to attract new generations and new talents, must use advanced technological systems (for example, remote working or AI), as a strategic lever. On this premise, this study aims to understand the relationship between re-mote working (RW), organizational well-being and talent management. This study is based on an empirical analysis, lasting five months, on a cross-sector of companies. A sample of companies belonging to the network of the Italian Association of Human Resources Managers (AIDP Calabria) and the Italian Association of Managers and Senior Professionals (FEDERManager Calabria) was identified. To have a broad view of the phenomenon, compa-nies from different sectors and of various sizes (large companies and SMEs) were identified. The results show that the adoption and implementation of remote working within organizations is an effective an essential strategic lev-er. This exploratory study contributes to a broader understanding of the use of remote working, to improve the design of work organization.

ABSTRACT. A systematic analysis of the literature on the adoption of emerging technologies at the organizational level was developed to gain insight into the existing research. Following Okoli’s framework we analyzed 48 articles published in journals belonging to AJG ranking, focusing on digital technologies. The results highlight several factors involved in the adoption process categorized into organizational, environmental, individual, and technological dimensions. Considering the temporality of the adoption process, these factors are distributed across three stages of the adoption: pre-adoption, adoption, and post-adoption.

ABSTRACT. As Enterprise Transformations (ETs) pose significant challenges for companies, it is crucial to steer these resource-intensive endeavors rigorously. However, there is a substantial gap between ET’s operational implementation and their steering committees. While existing literature suggests comprehensive information factors to support ET steering, the extent to which these factors are applied in practice and standardized through business analytics remains unclear. This manuscript aims to analyze the current state of business analytics in ET steering through a descriptive interview study. Our findings reveal that these concepts have been utilized only to a limited extent in practice, particularly for context and ET process-related factors. We further highlight and advocate for the increased adoption and implementation of specific business analytics for ET steering, addressing information gaps and enhancing decision quality. This research contributes to the discourse on ET steering by demonstrating the practical applications and benefits of business analytics in improving ET decision-making processes.

ABSTRACT. The Italian productive system comprises mainly Small-Medium Enterprises (SMEs), making them among the most important stakeholders within the national context. In this regard, the National Recovery and Resilience Plan – Piano Nazionale di Ripresa e Resilienza (PNRR) offers a tremendous opportunity for firms to not only overcome the multifaceted crisis afoot as of 2020, but most importantly, it aims to help them pave the way towards a more innovative, sustainable and competitive future by harnessing the potential of ICT. It encourages SMEs to rethink their business models and commence, if not accelerate, their Twin Transition journey. A bibliometric analysis was carried out highlighting the research gaps regarding the Twin Transition journey of SMEs and the role of public funds. A Preliminary Data Analysis (PDA) was carried out to provide a detailed map of the direct and exclusive beneficiaries of PNRR initiatives (investments) as well as the respective initiatives from which they have benefited as part of their Twin Transition journey to date. By doing so, the PDA aims to explore and identify meaningful trends arising from the data, focusing on SME access to PNRR funds based on the following characteristics: geographic location, sector and size. The results obtained will not only contribute to the gaps in the existing literature, but aim to create a monitoring system, characterized by longitudinal data. In turn, this will facilitate the identification of qualitative-quantitative analysis models used to analyze and evaluate the impacts generated by the PNRR measures on the Twin Transition of Italian SMEs.

ABSTRACT. This paper explores the intersection of corporate sustainability and recruitment perspectives in Swedish companies, examining the use of one hundred and five sustainability keywords in more than 230 000 IS/IT job ads collected from the Swedish Public Employment Service. The study emphasizes the pressing need for a new breed of computing professionals to address environmental challenges and climate change. Despite the strategic nature of sustainability issues, the analysis reveals a surprising focus on operational occupations in both IS and Engineering job ads. The study suggests that companies are signalling an interest in sustainability, maybe even “green-washing”, but more often than not seek operational/micro level rather than tactical/meso or strategic/macro level competencies. Future work proposes a deeper analysis using suitable AI applications and interviews with companies to study the contextual use of sustainability keywords and more nuanced perspectives of recruiters.

ABSTRACT. Circular platforms, digital business models designed to prioritize circular economy principles, are transforming how we approach sustainability. In an era where digital platforms and environmental consciousness are reshaping markets, circular platforms are striving to survive and success. This study investigates the organizational features that enable circular platforms to balance digital transformation and sustainability. Employing a qualitative multiple case study approach, it examines 28 circular platforms across vari-ous industries and geographical locations. The analysis identifies interac-tion complexity and organizational integration as important dimensions for balancing digital transformation and sustainability, proposing a framework which categorizes platforms into B2B, B2C, C2B, and C2C models. Key challenges linked with digital transformation include market penetration, logistics, and regulatory barriers, while benefits encompass enhanced trans-parency and resource optimization. The proposed framework provides a first step to the categorization of circular platforms and its key managerial implications.

ABSTRACT. Business processes have been widely addressed by the research community in the last 25 years. Researchers and practitioners have developed methods and software for facilitating modelling, their analysis, and reengineering. Despite the plethora of existing studies there are only few works that intersect this topic with the problem of gender equity. In this paper, first, we pose some research questions about these interwoven themes for future research activities. Then, we outline some principles for gender-aware business process management. Next, we discuss how existing methodologies and technologies can be used to transition from gender-blind to gender-aware business process management. In detail, we discuss possible enhancement of modelling techniques, process mining, and video surveillance. Finally, we propose a methodology for evaluating whether a business process within an enterprise is gender-aware. If it is not, our methodology provides a structured approach for rethinking and reengineering the process to incorporate gender-aware principles.

ABSTRACT. In the realm of Information Systems (IS), shared responsibility is a crucial yet ambiguously defined concept. This study addresses the research gap by applying the Gioia Methodology to a dataset of first-order concepts derived from a systematic literature review. These concepts were distilled into sec-ond-order concepts and further aggregated into three overarching dimen-sions: Technological Adoption and Resistance, Information Control and Power Dynamics, and Trust and Transparency. Our findings emphasize the critical role of digital technologies in mediating shared responsibility. By comparing Internet of Things (IoT) and Generative AI technologies, we illus-trate how each influence these aggregated dimensions differently. IoT en-hances operational efficiency and transparency but can reinforce existing power structures, while Generative AI democratizes access to advanced ca-pabilities yet complicates accountability due to its black-box nature. This study contributes to the IS field by providing a structured framework for un-derstanding and defining shared responsibility, highlighting the evolving dy-namics of human-technology interaction. Future research should focus on developing robust frameworks to support transparent and trustworthy rela-tionships in digital ecosystems.

ABSTRACT. This study offers a comprehensive understanding of Generative AI's role in knowledge management and knowledge retention within SMEs, proposing a robust framework that integrates social and technical factors to promote continuous learning and innovation. Despite substantial research on the general impact of AI on knowledge management, there is a notable scarcity of literature focusing specifically on Generative AI and its role in enhancing knowledge retention in SMEs. This gap is critical, given SMEs' unique challenges, such as limited resources and high employee turnover rates. The research question guiding this study is: “To what extent does Generative AI impact knowledge retention in SMEs?”. The article employs a socio-technical systems framework to analyze the variables influencing knowledge sharing, emphasizing the interplay between individual motivation, organizational support and culture, and technological capability. This approach is complemented by the concept of human-centric digital technology, which focuses on enhancing human capabilities and experiences through technology. Generative AI enhances knowledge management practices by automating processes, analyzing large datasets, and generating new content, thus improving the efficiency and quality of knowledge sharing. It also reduces the administrative burden on employees, fosters a collaborative culture, and provides personalized feedback, thereby increasing individual motivation for knowledge sharing. Furthermore, Generative AI can address the inherent challenges SMEs face in knowledge retention by making critical knowledge easily accessible, reducing the learning curve for new employees, and maintaining operational efficiency. However, it is crucial to manage employees' perceptions of Generative AI to avoid resistance or sabotage due to fears of redundancy.

ABSTRACT. Design best practices for creating reliable visualisations have been extensively researched. However, such design practices are not always present in the visualisations we interact with in our everyday lives. Visualisations influence how information is interpreted and understood, so evaluating them critically is a valuable skill. High school students are constantly exposed to visual content, so understanding how they process visualisations is crucial. This study explores the ability of 396 students to identify misleading graphical and textual elements and their perceptions of deceiving elements in real-world and synthetic visualisations. Results suggest high school students are limited in their ability to identify misleading elements. Furthermore, the way components are perceived can lead to deception even when no explicit errors exist. The study highlights the need to improve students' critical analysis of visualisations, providing a basis for future research to empower young individuals to critically engage with visualisations and enhance ethical design practices.

ABSTRACT. Artificial Intelligence (AI) technology is becoming increasingly pervasive in our daily lives, facilitating a wide range of tasks. However, the expanded deployment of AI also broadens the spectrum of potential problems that can impact both individuals and organizations. In this paper, we present a multiple case study based on semi-structured interviews to explore entre-preneurs’ perceptions of AI bias within the solutions designed and devel-oped by their firms. Our results reveal two distinct interpretations of bias: the first based on technical (computational) bias and the second based on societal (systemic) bias. In particular, a coding analysis of such empirical evidence is provided. Then, drawing on these assumptions, we propose a matrix useful to assess the potential negative outcomes that different types of bias (technical vs social) can have at various decision levels. This work contributes to research by providing insights and practical tools for under-standing and mitigating AI bias and a lens of analysis to foster more equita-ble and effective AI implementations in organizational contexts.

ABSTRACT. This study explores Treedom's role in advancing technology-led sustainability transitions. By examining Treedom's innovative approaches to global re-forestation and sustainable development, it highlights how technology can foster environmental stewardship and promote sustainable practices. Treedom's contributions to environmental sustainability through technology-driven reforestation and habitat conservation are analysed, demonstrating how technological innovations can support global efforts in these areas and further sustainable development (Sreenivasan & Suresh, 2024). The research investigates sustainability orientation as an emerging factor in evaluating startups, considering performance, communication, and techno-logical managerial practices as sources of market competitiveness (Carle & Rayna, 2023). It also assesses their capability to preserve natural resources, promote biodiversity, and mitigate climate change impacts. The research questions (RQs) are: - RQ1: How has the startup engaged in the preservation and restoration of habitats? - RQ2: What are the identified barriers to implement sustainability-oriented technological solutions? - RQ3: What managerial practices has the startup employed for the sustainability-oriented transition? This research employs a case study approach, reconstructing the current de-bate on sustainable startups as discussed by Trautwein (2021). An analysis of online, offline, and confidential internal sources will be conducted. The study offers both theoretical and practical implications. Theoretically, it highlights the evolution of literature on the topic and the challenges of pro-moting sustainability in startups (Di Vaio et al., 2022). Practically, it identi-fies developmental elements and obstacles to the growth of sustainability orientation, along with suitable technological solutions to operationalize it (Horne & Fichter, 2022).

ABSTRACT. This study presents an index to calculate the level of prosumption defined as the ability of an individual to produce and consume one or more goods autonomously [1]. We analyse the concept of prosumer introduced by Toffler [2] and further developed by Kotler [3], Tapscott [4] so that the Prosumer Index (PI) can subsequently be presented. A hypothetical example is used in this work to illustrate implications and solutions to improving prosumer efficiency. This study offers a quantitative measure that can define the prosumer by calculating the level of prosumption and defining its requirements.

ABSTRACT. The growing importance of ESG factors in investment decisions has led to a surge in ESG ratings. However, these ratings often disagree due to differences in how they measure and evaluate companies' ESG performance. This divergence creates uncertainty for investors, making assessing a company's genuine ESG commitment difficult. This study aims to understand the reasons behind ESG rating divergence. The authors analyse existing academic literature to identify the main areas of divergence. Then, they develop a classification system to categorise these areas. Finally, they apply this system to five major ESG rating agencies to see how their specific practices diverge. This study identifies the main reasons for ESG rating divergence and creates a way to categorise them.

ABSTRACT. Social sustainability is increasingly important in higher education, especially concerning student employment and educational programs. Educational institutions are incorporating sustainability into their curricula and aligning with the UN Sustainable Development Goals (SDGs) to enhance student learning and societal impact. However, measuring the impact of these initiatives on student employment and entrepreneurial attitudes is challenging. There are no standardised metrics, and it is difficult to isolate the effects of specific programs from other factors influencing career paths. To address this, we conducted a framed field experiment. This experiment compared students, entrepreneurs, and professors involved in the “Impresa IN Accademia” (IINA) project (treatment group) with those who were not (control group). The goal is to quantify differences in employment, motivation, and benefits between the two groups, focusing on students. The study aims to determine if participation in the IINA project has a measurable impact on student's career outcomes and overall university experience. The results of the data analysis indicate that the IINA project had a mixed effect on students, entrepreneurs, and university professors. Participation in the project did not significantly affect students' employment and motivation to work in companies. However, all categories showed substantial direct and indirect benefits from participation, confirming the project's potential to bridge the gap between universities and the world of work.

ABSTRACT. The use of ICT resources in healthcare has been growing since the 2000s be-cause can lead to cost saving, time saving, errors reduction, improvement of medical practice. In Italy, Mission 6 of the National Recovery and Resilience Plan (M6-PNRR) allocates 8.6 billions for disseminating telemedicine strength-ening the healthcare system's information and digital tools. Considering the theories on ecosystem innovation in healthcare, this study, using a mixed methods approach, investigates the gaps between ideas and design by the pol-icymakers and the correspondences by the side of health operators. Our re-sults confirm that, a huge problem in the health sector is not innovation per se, but the dissemination of innovative concepts. Service innovation in healthcare is successful only if it can satisfy users’ needs. A fundamental role has been found in the GPs, seen as strategical promoters . Another important aspect has been found in Covid health crisis as a buster of digitalization, thus confirming previous researches. But another important aspect has been found in the need of “educating/training” patients, thus revealing the importance of really creat-ing a co-production scheme for developing a real effective digitalized system. The commitment and active participation of patients represents indeed a pre-requisite for obtaining high adherence, but if users are culturally not keen in contributing to the process, the potential of digitalization remains unexploited

ABSTRACT. In recent times, the concept of smart cities has gained remarkable attention globally, driven by the increasing interest in employing technology to address various urban challenges, particularly in the healthcare domain. Smart cities are demonstrating to be transformative to the extent that they use an extensive array of technological tools and processes to improve healthcare accessibility, optimize patient outcomes, reduce costs, and enhance overall efficiency. The aim of the study is considering the pivotal role that smart city technology plays in enhancing healthcare delivery by forging a path towards improved accessibility, efficiency and quality of care for residents. To ensure a comprehensive analysis, we employed a well-structured search strategy across databases including PubMed, Web of Science, and Scopus. The search scope encompassed articles published up to 2023, resulting in a review of relevant articles in first phase. In the second phase we chose to adopt a qualitative approach and conducted an empirical research based on a case-study (Creswell, 2018) focused on the project called “Intelligent Cities Challenge (I.C.C.)”. Our findings, although not generalizable, highlight the crucial role of smart city technology in advancing healthcare delivery, paving the way for better accessibility, efficiency, and quality of care for communities globally. By harnessing the power of data analysis, Internet of Things (IoT) sensors and mobile applications, smart cities are driving real-time health monitoring, early disease detection and personalized treatment approaches.

ABSTRACT. This paper explores the adoption and use of AI chatbots by knowledge workers in the Italian legal sector. Distancing from existing literature, which mostly explores chatbots as interactive agents alternative to human agency, in this research, we focus on chatbots as text manipulation tools that knowledge workers have to work with. We collected data from a sam-ple of 39 respondents exploring causal factors influencing the usage behav-iour of knowledge workers. The results of a fuzzy set Qualitative Compara-tive Analysis show two profiles of knowledge workers willing to use AI chatbots in their work: innovative-minded employees with a positive atti-tude towards innovation and workers who approach chatbots usage with critical thinking and in a teamwork setting. Our research has implications for research and practice also on the lack of perceived risk of AI chatbots, and on the role of intensity of usage on the perception of chatbots.

ABSTRACT. The introduction of Artificial Intelligence (AI) in organizational con-texts is gathering considerable interest, particularly due to how it is revolutioniz-ing work. Currently, research is focusing on the effects of AI applications on production efficiency and organizational processes. However, little is known about the impact these transformations may have on workers' wellbeing. Under-standing this is especially important for defining a human-centric perspective that values wellbeing, in line with the European Union's Industry 5.0 objectives. Therefore, the goal of this research-in-progress conference paper is to develop a conceptual framework that maps the relationship between AI and wellbeing through a systematic review and content analysis of articles dealing with AI and wellbeing from multiple perspectives. Based on the results, AI can be mainly viewed as a mitigation strategy when designed and introduced to enhance work-place safety, health, and wellbeing, or as a technology requiring mitigation strat-egies to counteract the potential negative effects of AI on wellbeing due to its inherent problematic aspects when introduced into production and organizational processes.

ABSTRACT. In this paper, we explore the effects of algorithmic transparency and algorithmic accountability on organizations. Algorithmic transparency refers to the idea that algorithms should be transparent to the people who use, regulate, and are affected by those algorithms. This means that the input, processes, and their use should be known, even though the algorithms do not necessarily need to be fair. Algorithmic accountability refers to the idea that organizations should be held responsible for decisions made by the algorithms they use, even if they are unable to explain how the algorithms produce their results. Considering that algorithms are increasingly substituting many human activities—making decisions in place of humans—organizational actors may not always agree with algorithmic decisions, yet they remain legally accountable for their choices. We posit that organizational actors may face an internal legitimacy challenge regarding rationalization and consensus when their preferences do not align with the opaque decisions made by the algorithm. We discuss the role played by organizational actors, as Centaurs or Cyborgs, depending on whether they totally delegate specific tasks to AI or deeply interact with AI to enhance their own decisions. We maintain that the contemporary emphasis on AI does not include an accurate and comprehensive reflection on the long-term effects on organizational systems.

ABSTRACT. Over the past years, due to digital transformation and the revolution imposed by COVID-19 pandemic, new working modalities have been progressively adopted, introducing some challenges, especially in the public sector (PA) characterized by bureaucratic processes and increasing investment in digital infrastructure. Among the obstacles, Technostress (TS) - occupational stress caused by technologies that can impact the mental and physical health of employees - can undermine organizational sustainability (OS), which is aimed at achieving long- term success through responsible resource management, equity, and ethical practices, interpreted as the well-being of HR. However, in the scientific landscape, the research on this topic appears fragmented and a broad but focused review is needed to understand the phenomenon fully. Starting from these considerations, the main purpose of this paper is to analyze in depth the literature focusing on the recent debate on the effect of Technostress on Organizational Sustainability in the public sector, shedding light on emerging research topics related to the phenomenon. To meet this research aim, this study is based on a scoping review. Web of Science database was selected and scanned to access publications. The analysis identifies in the sample under investigation the temporal distribution of scientific contributions, the co-words cloud as well as a thematic map on the motor and emerging themes which characterize the topic under analysis. This study also proposes a research agenda for scholars while providing insightful suggestions from a practical point of view for researchers and professionals in public sector HR and organizational design.

ABSTRACT. This study aims to evaluate and highlight 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. To assess the readiness, perceived usefulness, and ease of use of technologies after the intervention of the exogenous-shock, the Technology-Acceptance-Model (TAM) was utilized. Additionally, the motivation and intention to change employees' working habits were evaluated through the lens of complexity and urgency using the Theory of Planned Behavior (TPB). The study emphasizes the compression of Rogers' bell curve and the significance of top-down knowledge management processes and transitional leadership in facilitating the transition. Data were collected through semi-structured interviews with public managers in the Italian context due to the specific reluctance and reticence the sector demonstrates in innovation and digital transformation. Change is often perceived as a shock in the social and organizational community, particularly in the public sector, generating tensions. Therefore, the study examines the sus-tainability of using technologies in the workplace as a regular habit based on perceived usefulness and ease of use during the post-urgency period. Moreover, it investigates 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 or-ganizations. The study provides valuable insights into how the pandemic emer-gency in the public-ector and the need for digitization have broken down the "chains" of reluctance to change and how smart-working can structure lasting habits based on perceived-utility.

ABSTRACT. Over the past decade, numerous studies have examined the remarkable appreciation of cryptocurrencies, typically focusing on their prices and predictive factors. In contrast, this paper posits that the success of a cryptocurrency is determined not only by its monetary value but also by its adoption, influenced by recurring seasonality. This study specifical-ly examines the role of seasonality and the impact of developers' and miners' activities on cryptocurrency adoption. Utilizing Bitcoin data, we employ a seasonal autoregressive model to analyze 4,632 daily ob-servations, investigating the effects of miners and developer’s activity on the number of end users. Our findings indicate that miners' activity plays a crucial role in cryptocurrency adoption. These results contrib-ute to the conventional understanding of cryptocurrency success, high-lighting the significance of seasonality. By elucidating the drivers of adoption and the influence of key stakeholders, this study provides val-uable insights for researchers, practitioners, and policymakers in the evolving field of fintech adoption.

ABSTRACT. Cities of tomorrow are planning smart urban future, using technologies to support urban innova-tion by fostering collaborative processes to drive sustainable urban growth and improve the quali-ty of life. Cities are becoming smart innovative communities, adopting a smart city framework to urban planning and development. Cities are defining smart urban planning, enabling smartness as an ability to shape urban as well as organisational and collaborative spaces that open to social innovation. A smart city helps to shape the city of the future as an engine of urban innovation. Sustainable urban future relies on smart cities and communities that support urban innovation for good life, promoting collaborative and multi-actor innovation, following a human-centred ap-proach to smart urban development. As organisational and collaborative spaces, cities are rethink-ing the urban planning for sustainable future, promoting a smart city vision and community to urban growth. As smart innovative communities, cities contribute to urban innovation by rethink-ing on collaborative approaches for wealthy urban futures.

ABSTRACT. Despite wider recognition of cryptocurrencies as relevant financial tools, their practical adoption as a medium of exchange has been limited due to technical hurdles like scalability and high transaction costs. Layer 2 technologies aim to solve these limitations. However, the impact of adopting Layer 2 technologies in a business setting remains relatively unexplored. This study investigates the impact of one of the most discussed Layer 2 technologies, the Lightning Network, on Bitcoin adoption, specifically in the context of Italian micro enterprises. By employing the revised Unified Theory of Acceptance and Use of Technology (UTAUT2) and conducting sixteen structured interviews, we found that the Lightning Network positively influences retailers’ Performance Expectancy, Hedonic Motivation, and Price Value, while negatively affecting Effort Expectancy. These results underscore the importance of Layer 2 technologies for cryptocurrencies’ adoption and suggest several further research avenues in this nascent domain of inquiry.

ABSTRACT. Introduction Heart failure (HF) affects millions of people globally and requires the patient to engage in complex self-care regimens, including diet. mHealth interventions show potential in improving patient engagement with dietary choices. Little is known about mHealth nutrition interventions for those with HF. There are gaps around how engagement strategies in mHealth applications usage might alter health behavior changes. This restricted systematic review protocol aims to outline the design of a restricted review which describes mHealth nutrition interventions for those with HF and the engagement strategies used to improve the diet of patients with heart failure. Methods A restricted systematic review using Plüddeman’s approach and the Preferred Reporting Items for Systematic Reviews and Meta-analyses. A collaborative search strategy was created and searches were performed in CINAHL via EBSCO, MEDLINE via Ovid, Web of Science Core Collection, and Scopus. The included studies will be analysed narratively using an interpretative framework. Results Title and abstract screening was completed and n=98 articles selected for full text review. The findings will describe the designs and engagement strategies used increase patient engagement with HF nutrition mHealth applications. An exploration of levels of engagement with digital dietary interventions has on changes in patients’ health behaviours is planned. Conclusions The review aims to provide a synthesis on the evidence around mHealth nutrition interventions for those with HF. The unique combination of healthcare professionals and technologist in this review will provide a collaborative overview of measures needed to improve digitalised HF dietary applications that may support patients’ self-management.

ABSTRACT. This study examines the intersection of digital healthcare innovations and environmental sustainability within the framework of Institutional Theory. It systematically reviews literature to identify how healthcare organizations adapt to and integrate digital technologies and sustainable practices under institutional pressures. This research employs a comprehensive systematic review methodology, synthesizing findings from a broad range of studies to offer a nuanced understanding of the challenges and opportunities at this nexus. The core objective is to uncover the dynamics between technological advancements and environmental strategies within healthcare systems, highlighting the roles of institutional pressures and organizational responses. Our analysis delves into several key areas, including the adoption of electronic health records (EHRs), telemedicine, and the Internet of Medical Things (IoMT), all within the context of striving for environmental sustainability. Results indicate a significant trend towards digitalization, driven by both the pursuit of enhanced patient care and the need to meet increasingly stringent environmental standards. However, the transition poses unique challenges, such as ensuring data security, managing the environmental footprint of digital solutions, and aligning with complex regulatory frameworks. This study contributes to the literature by providing evidence-based insights and strategic recommendations for integrating digital health solutions with environmental sustainability efforts. It underscores the importance of institutional alignment and adaptive strategies in achieving these integrations, suggesting that future policy directions and organizational practices should consider these dual objectives to enhance the overall effectiveness and sustainability of healthcare delivery

ABSTRACT. Nowadays, regulatory pressures and competitive drives seem to put organizations in need of integrating ESG criteria and adopting advanced digital technologies. Organizations are increasingly aligning their strategies with this twin transformation. Although digitalization is proving to be able to offer new opportunities for enhancing organizational sustainability, the adoption of intelligent technologies may turn out not to be in line with the sustainability corporate goals from a practical point of view. This may depend on how people manage, accept, and face these changes. Consequently, HRM seems to play a pivotal role in supporting the twin transition of the entire organization and its practices, processes, and policies. However, there is still a literature gap in understanding the specific contributions of intelligent HRM to corporate sustainability with a particular focus on the environmental, social (and human), and governance (ESG) dimensions. This research work aims to address this gap by conducting a systematic literature review (SLR) to assess how intelligent HRM contributes to corporate sustainability throughout ESG dimensions. The study showed that the intelligent HRM contribution towards sustainability seems to be direct or mediated/indirect concerning each ESG dimension and also it seems to vary along two dimensions: direction (positive or negative) and intensity (high or low). The theoretical framework proposed is expected to have great implications for both scholars and practitioners.

ABSTRACT. Employee health can be promoted by companies by offering various health-specific programs, activities and measures and by forming a well-functioning work organization that is beneficial to productivity, well-being and health. The objective of this paper is to investigate employees' experiences of using a mobile health application, GOOZO, as inspired by gamification, to promote work-related health. An exploratory case study with an inductive approach is used in this study. Nine semi-structured interviews were conducted with HR staff and employees at an organization that has implemented a digital health and personnel strategic tool. Analysis of the data has been done with a qualitative content analysis. Employees think that the gamifications functionality is triggering. It is fun to come up to the next level, however some employees believe that you need to make it more fun to use the app and you should be able to challenge you friend or another department because they like to compete with each other. Gamification is not always perceived as a sufficient source of motivation. The company should be more involved and talk more about the app. Supported activities and reminders from the employers is also needed. For example, at a breakfast meeting, everyone can use the app. Using a digital application to promote work-related health can be a good way to draw attention to the importance of health. Gamification is also an incentive to increase the social coherence at the workplace, as activities with a competition focus can engage employees.

ABSTRACT. This paper explores the global landscape of Environmental Management Ac-counting (EMA) by addressing three primary research questions that identify the most engaged countries in EMA research, the collaborative relationships among these countries, and the nature of publications within the European Union. Our findings indicate that Australia, Indonesia, Malaysia, Germany, and China are the leading contributors to EMA literature, with Europe notably underrepresented except for Germany. Further analysis reveals that Ger-many is the only European country showing significant international collabo-rations, primarily with Australia, highlighting a concerning isolation of other European nations despite the European Union’s institutional pressures for enhanced sustainability practices. Within the EU, the focus remains on theoretical and review papers discussing broader implications of EMA for sustainable business management, with a notable lack of recent empirical stud-ies on technical applications. These insights suggest an urgent need for the EU to intensify both theoretical and practical EMA research to meet evolving regulatory demands and sustainability challenges. This paper contributes to the discourse on international research collaboration and policy-making in EMA, urging a strategic shift towards more practical and application-oriented research within the European context.

ABSTRACT. A more empirical approach to Corporate digital responsibility (CDR) is needed to describe the drivers and effectiveness of reporting on such aspect. This paper analyzes CDR disclosure in order to provide a picture of current reporting practices by recommending potential strategies to improve it, given the lack of standardization. A content analysis has been performed to interpret the information disclosed on these "new" digital responsibilities in the sustainability reports prepared in compliance with the framework of Sustainability Accounting Standards Board (SASB). Very few companies mentioned comments about CDR in their sustainability reports. Firms operating in the technology and communication sector are the first to introduce information on CDR. Current approaches to CDR disclosure require reporters to clearly communicate to stakeholders what CDR-related activities are being carried out. Further empirical studies on different sectors and different reporting standards are needed. However, the study can be helpful to sustainability managers as it proposes a valid approach to measure the effectiveness of CDR-related activities.

ABSTRACT. The current era is witnessing unprecedented technological advances, yet the resulting environmental and global impacts are increasingly evident, manifesting in severe weather events, societal instability and complex economic challenges. Recognizing the imperative shift towards circularity and environmental, social and governance (ESG) goals as a priority, this paper explores emerging sustainability mapping and reporting methodologies, emphasizing the integration of business process management (BPM) tools to actively guide management and sustainable decisions. Motivated by the urgency to comply with evolving European directives and transparent reporting, the present study addresses the challenge of improving the efficiency of environmental data collection during business processes. Key questions guiding the research include the strategic role of corporate sustainability reporting, tools to facilitate the process, real-time KPI mapping of CO2 emissions, and improving the integration between traditional and environ-mental indicators. This research establishes a framework for addressing the identified problem by proposing solutions and methodologies applied to a real case study of an Internet Service Provider (ISP) company. The ultimate goal is to bridge the gap between academic studies, technological advances and international regulations to promote sustainable business practices.

ABSTRACT. This article investigates the relationship between technology and organizational culture by focusing on the deployment of two technologies — the Geographic Information System (GIS) and the Tunnel Boring Machine (TBM) — within a binational company engaged in constructing a tunnel for a high-speed railway. It challenges the traditional view of technology as an independent variable affecting organizational structures and processes, advocating instead for a relational and non-deterministic perspective that recognizes the mutual influences of humans and technologies in developing new work practices and organizational processes. Employing a theoretical framework drawing on Media, Technology, and Organization Studies (MTOS) and Science and Technology Studies (STS), the article underscores the mediating role of technological artifacts in the shaping of organizational culture. It emphasizes the importance of technologies in organizing both material and non-material aspects of organizational life while highlighting the co-constitutive relationship between technical objects, work practices, and organizational processes. Empirically it demonstrates how GIS and TBM contribute to actualizing a binational culture within the studied company. In doing so, the article illustrates how technologies can influence organizational culture and promotes a deeper understanding of the agential power of objects, while remaining stripped of deterministic interpretations. This approach not only enriches our comprehension of organizational culture, but also bridges theoretical gaps between MTOS and STS.

ABSTRACT. This study investigates how digital technologies affect creative SMESs' or-ganizational cultures by quantitatively analyzing how they affect important performance metrics like worker happiness, output, decision-making speed, and work quality. It evaluates the ways in which digital tools influence both day-to-day operations and the strategic orientation of industries, and it finds that although these technologies increase operational efficiency, they also necessitate considerable cultural transformations in order to fully realize their potential. The study emphasizes how crucial it is for SMEs to create a crea-tive and flexible culture, stressing the value of leveraging technology innova-tions to gain a competitive edge and alter cultures.

ABSTRACT. Complex new business solutions and platforms are represented by complex knowledge artifacts that are difficult to interact with. To comprehend them requires prior training or an external professional support. The growing scale and intricacy in modern time business processes results in more dynamic and complex process models, making them difficult to understand by the various actors involved, such as novice untrained users, hence, limiting to fulfil the true essence of utilization of a business model and the underlying processes. This work focusses on the process model reuse by everyone, especially the nonexperts and novice users, and the people who are directly or indirectly related to the process. The various values, expectations and incongruent goals of the actors involved can be represented with the concept of personas. We present a persona-based walkthrough of a business process model, using personalized context as key element. User’s persona is utilized to generate personalized process visualization of business models. The visualization presented in this work is different and extensive as compared to already employed approaches for Business Process Model visualizations, since it incorporates personal attributes, context, and psychological traits of the user. The prototype was tested by novice users who were not professionally trained. They were asked to locate a piece of information from a given Business Process Model without and with the help of proposed framework. The results show an overall liking by the novice untrained users.