ABSTRACT. The paper explores a comparison of the literature on digitalization within SMEs produced in Italy and Spain, where these countries share similarities in their business structures, corporate cultures, and, moreover, academia and research industries. There is a notable lack of literature review papers incorporating bibliometric analysis, and those available tend to offer a broad perspective on the topic. This paper answers the following questions: a) What are the differences in the developments and trends in Italian and Spanish studies on digitalization in SMEs from 2018 to 2023? b) How do the key themes that have been the focus of research on digitalization in SMEs differ during the given period? and c) What are the comparisons regarding the prevailing trends in collaborative networks among authors, universities, and countries in Italian and Spanish studies on digitalization during the given period? The paper employs a bibliometric technique to analyze a dataset comprising 125 publications from top-tier journals obtained from the Scopus database. A performance analysis was conducted on 85 documents from Italy and 40 from Spain, utilizing the Bibliometrix package and the Biblioshiny tool. The results reveal that research interest in digitalization in SMEs has risen in both countries. Italy stands out with superior publications and citations, along with longer author timelines. However, the diversity of research themes in both countries is limited. Additionally, the results clarify that Italy possesses more extensive collaborative networks, while Spanish universities prioritize frequent and international collaboration.

ABSTRACT. In today’s digital age, the concept of leadership must be reconsidered through a new perspective. Although the fundamental competencies of leadership remain unchanged, the digital revolution demands new skills and capabilities to tackle new challenges within organizations. This paper presents a meta-synthesis on digital leadership, aiming to provide a comprehensive understanding of the processes of digital leadership within organizations. Our study addresses the fundamental questions of "why" and "how" digital leadership occurs in the organizational context. We analyzed 35 qualitative articles and developed a conceptual model consisting of ten key building blocks. As a theoretical contribution, this model provides a comprehensive overview of the presence of digital leadership in organizations, using the theoretical lens of the Structuration Theory Model. It further identifies overlapping aspects with terms similar to e-leadership and IT leadership. From a practical perspective, the study offers valuable insight for those embarking on digital transformation journeys under the guidance of effective digital leadership.

ABSTRACT. The Italian Third Sector Code established the shared administration para-digm as a new mode of relationship between Public Administration and non-profit organizations based on a collaborative mode of governance. Under the new paradigm, third sector organizations can be involved in co-programmazione (co-planning) and co-progettazione (co-design) exercises with public sector organizations, different from the traditional client-provider contractual relationship. The exploratory paper investigates whether the shift from the contractual to the collaborative mode of relationship with Public Administration requires social cooperatives, as a particular type of third sector organizations, to undergo organizational change processes, and what such processes entail. The study is based on semi-structured interviews with 8 highly reputed expert of co-design belonging to social cooperatives that experienced both the contractual and the collaborative mode of relation-ship with Public Administration. From the interviews it emerges that the establishment of the shared administration paradigm is perceived by social co-operatives as an environmental evolution that requires them to change their mindset, their strategies, their operational modalities, and their management system. Fostering organizational flexibility and inter-functional (horizontal) integration, developing better planning and design capabilities, and improving management practices to support organizational and social entrepreneur-ship are the measures that social cooperatives should implement under the new regime.

ABSTRACT. This study explores the integration of Information Systems (IS) and Information Processing View (IPV) within the context of healthcare organizations undergoing digital transformation. Using Galbraith's (1974) information processing theory, we assess the alignment between healthcare information systems and organizational information processing requirements to determine their impact on digital transformation. By implementing a digital organizational maturity model developed by Aras and Büyüközkan (2023), we measure the digital maturity of a platform that integrates various healthcare services to better understand how a holistic approach supports its digital transformation. The study confirms the critical role of comprehensive Information Processing View models in overcoming the challenges posed by digital transformation in the healthcare sector. Key findings suggest that effective digital transformation in healthcare requires an integrated approach to information management. The research highlights the practical implications of using a maturity model to assess and enhance organizational readiness and capability for digital transformation, thus facilitating improvements in healthcare service delivery. This paper contributes to a broader understanding of maturity models in healthcare, aiming to enhance the evaluation and promotion of organizational maturity to support successful digital transformation processes. Additionally, this study provides valuable insights into the strategic integration of technology and information management to improve quality, cost efficiency, and safety in medical services.

ABSTRACT. In the rapidly evolving digital landscape, public sector organizations face significant challenges in achieving agility and sustainability. This paper addresses these challenges within the judicial system, a critical sector for economic growth and societal well-being, often overlooked in organization studies and knowledge management research. Despite KM’s potential to enhance efficiency, the public sector encounters unique barriers, including political influences and career incentives that hinder knowledge sharing. Drawing on data from the “Next Generation UPP” Project, funded by the Italian Ministry of Justice, this study develops a systemic model to identify key knowledge assets and their impact on organizational success. Using systems thinking and causal loop diagrams, the research explores the dynamic interactions of knowledge assets, identifying feedback mechanisms that impede knowledge dissemination and organizational performance in the judiciary. The findings emphasize the necessity of tailored KM practices to drive digital transformation and innovation. Effective KM initiatives, such as agile communication tools and comprehensive training programs, are crucial for overcoming barriers and enhancing judicial performance. By fostering a culture of continuous learning, collaboration, and innovation, public sector organizations can navigate the complexities of the digital age. This holistic approach ensures the delivery of high-value, real-time digital public services, promoting a resilient and responsive judicial system. The study underscores the central role of HRM practices in this transformation, highlighting the importance of talent management, leadership development, and employee engagement in cultivating a workforce capable of driving sustainable organizational change.

ABSTRACT. The development and application of digital technology have a strong impact on the way the public sector operates today and require public servants to develop and strengthen their skills. This study provides a scoping review examining grey literature around digitalization practices and digital skills in the public sector in EU member countries and proposes a framework for analyzing 21st-century digital skills in the public sector as per different stages of digitalization maturity. To uncover relevant “grey” literature, an established methodology was used including a search on Google.com using keywords identified from existing literature on digitalization HRM practices in the public sector. Out of 630 sources, 7 relevant documents related to the relevant guidelines were included in the analysis. Then 2 additional documents were added making a total number of 9 documents. These were analyzed qualitatively with the help of an integrated framework of 21st-century digital skills, organizational dimensions, and digitalization maturity stages. This review contributes to the body of knowledge on digital transformation in the public sector by proposing a framework that can serve as a guide for understanding what digital competencies are essential and applicable at different phases of the digital transformation process. It demonstrates the importance of comprehensive policy guidelines that are linked with digital skills development. This study also suggests future research directions, emphasizing the need for continuous adaptation and advancement of digital skills in public sector training and development programs.

ABSTRACT. The research aims to explore the evolution and impact of interpersonal interactions in virtual reality (VR) and the metaverse. Using a SLR we explored the multifaceted aspects of virtual interactions, including their purposes, technologies and contexts. The analysis reveals that the main purposes are: (i) work-related activities, (ii) leisure activities and (iii) technology-mediatedlearning. Furthermore, the study explains the transition from conventional text based communication to multi-sensory immersive experiences, emphasizing the influence of transforming virtual reality on interpersonal interactions using media richness theory. The primary technologies are text-based computer mediated communication and the virtual community, which serves as the primary context for the development of interactors. There is a gap of research in the field of managerial studies pertaining to interpersonal interactions, the purpose of learning activities, the technology of the metaverse, and the context of virtual teams. These represent a significant opportunity for future research.

ABSTRACT. Recent technologies are transforming the way public administrations work and organize themselves through the development of collaboration and involvement modes to achieve common goals. In the case of the Italian justice system, the large number of pending cases and the lengthy resolution times have been hindering the ultimate goal of justice for decades. With the latest reform, it was decided to jointly invest in digitization and in new officials to be included in the organigram of the Italian Courts to incentivize the creation of new forms of digital collaboration that would help improve the efficiency and performance of the Courts. The study reflects on the state of the art of the Italian judicial system in the light of recent innovations and offers, in conclusion, empirical evidence through two case studies.

ABSTRACT. Data-sharing ecosystems offer a transformative approach to addressing critical societal challenges through multi-stakeholder collaboration. However, existing literature suggests a need to explore how diverse perceptions and practices influence the functioning of these ecosystems. This study addresses the following research questions: what factors shape data-sharing practices in big data ecosystems, and how do they do so? We emphasize the importance of understanding how the diversity of actors influences sharing practices, particularly in relation to differing perceptions of the opportunities and risks of data sharing and the motivations behind these practices. Through a qualitative study within a data sharing ecosystem, we identified three distinct categories of data-sharing practices: diving, scaffolding, and pushing. These practices are shaped by stakeholders' attitudes toward data sharing and their willingness to share, which are influenced by cognitive and social evaluations of risks and opportunities, as well as their motivational orientations (whether utilitarian or socially driven). Our findings reveal that stakeholders' data sharing behaviors vary significantly depending on whether they prioritize utilitarian benefits or broader societal impacts. Notably, we found no significant correlation between stakeholders' socio-demographic attributes and their data-sharing practices. This paper contributes to the literature on data-sharing ecosystems and the dynamics of willingness to share data in complex multi-stakeholder organizations.

ABSTRACT. The Environmental, Social and Governance (ESG) issues topic is currently the most debated topic among academics due to the Agenda 2030 of United Na-tions. Firms are complying with this agenda by disclosing non-financial infor-mation and issuing sustainability and CSR reports. We investigate how this in-formation, the ESG performance affects firm value. We focus on listed firms of EU countries and extract the panel data from Bloomberg database from 2012 to 2021. Our final sample comprises 976 firms from 26 EU countries belonging to 11 industry sectors. We apply ordinary least squares technique to analyse the data. The results show that ESG performance positively and significantly influ-ences firm value. It represents that ESG issues are relevant with respect to stakeholders’ concern and addressing such issues increases firm value. This study provides important implications for practitioners and stakeholders.

ABSTRACT. Digital transformation is not a phenomenon merely linked to information technology and ICTs, but it influences also human resources of any organization. This paper aims to shed lights on how organizations are facing digital transformation, how this transformation affects the human resources domain. To this end, this paper adopts a two-step mixed methodology combining an exploratory qualitative multiple case analysis with a fuzzy-set qualitative comparative analysis (fs-QCA). This study highlights the pivotal role played by the HR Manager driving organizational change and enhancing human capital during the digital transition of human resources. The study findings suggest that in large companies the presence of an engaged HR Manager that enters the decision-making process related to digital transformation and has digital skills is able to produce the organizational conditions to create new positions for people with digital experience.

ABSTRACT. The rapid advancement of artificial intelligence (AI) technologies is reshaping workplaces, workflows, and job roles. Job crafting, where employees modify their jobs to better fit their skills and preferences, becomes crucial in this dynamic context. This study examines how IT developers can leverage Generative AI (GenAI) to enhance job crafting. GenAI tools, like ChatGPT, can automate routine tasks, allowing developers to focus on high-value, creative activities. Despite its potential, little research explores how IT developers adopt GenAI for job crafting. This study aims to fill this gap by profiling developers inclined to use GenAI and identifying characteristics influencing their adoption. Factors such as age, gender, education, programming knowledge, online self-efficacy, privacy concerns, creativity, and openness to innovation are analyzed. The findings provide insights into developing support systems and training programs that enhance job satisfaction, productivity, and organizational performance in an increasingly automated work environment. The study concludes by proposing a theoretical framework to guide future research and practical applications in the integration of GenAI in job crafting for IT developers.

ABSTRACT. Generative AI is bound to have profound effects over work and how it is organized. However, while existing research has focused on uncovering the impact of Generative AI systems on the execution of individual tasks, it has significantly under-emphasized the interdependent and collaborative nature of work. To support filling this gap, this paper investigates the implications of generative AI on collaborative work activities, emphasizing the need for a shift from a task-centric approach to a broader process-oriented perspective. By utilizing the 3C collaboration model—communication, coordination, and cooperation—this study employs a bibliometric-based analysis to map the current state of research in this domain, identifying gaps and opportunities for field development. Our analysis identifies significant disparities in academic focus on Generative AI in collaborative set-tings, highlighting under-researched areas such as cooperation and coordination. Moreover, research in the domain of collaboration is remarkably segregated, with few studies addressing multiple collaboration dimensions simultaneously. Lastly, while there is a strong emphasis on Human-AI interactions, the role of AI in me-diating Human-Human interactions is less explored. Addressing these gaps could provide valuable insights into defining strategies to effectively integrate generative AI systems within complex organizational settings.

ABSTRACT. In recent years, the study on the relationship between cyberscuity, green finance and banks' performance has been an important research question for several reasons. First, cybersecurity is an important key for using technology in banks to improve and automate financial processes, products and services. Digital transformation (IT) leverages emerging technologies to transform the way of financial transactions and services are conducted: mobile applications, blockchain, big data, artificial intelligence, and so on (Liu et al., 2023; Al-Okaily et al., 2023). Green finance issues are attracting considerable interest and banks are viewed as key agents of sustainability and responsible investing. (Kwilinski, 2023; Sadiq et al. 2024). The IT of finance increases, and the financial intermediaries help digitalize the finance market by developing individuals and organizations to invest in environmental and social projects (Matviienko et al., 2022; Kluza & Kluza, 2022; Mertzanis, 2023). Our study examines the impact of cybersecurity policy (CSP) and ESG combined score (ESG_C) on bank’s performance. Using an econometrical method, this study provides new insights into the importance of approaches compliant with ESG principles. At the same time, we also claim that banks’ adoption of cyberpolicy could help them attain ESG goals

ABSTRACT. In the contemporary professional sports landscape, integrating sustainability practices has emerged as a critical area of focus, particularly within European football clubs. This study delves into the intricate relationship between sustainability initiatives and the economic-financial performance of listed European football clubs, specifically emphasizing the SE European Football Index as a key metric for evaluating sustainability efforts. By examining the impact of sustainable practices on financial outcomes in the sports industry, this research contributes to the ongoing discourse on corporate social responsibility and economic success in the context of professional sports organizations. Starting from a comprehensive literature review, this paper sheds light on the evolution of sustainability discourse and its implications for the sports sector. Through a quali-quantitative analysis, the study provides valuable insights for managers of football clubs and sports organizations, offering guidance on decision-making processes related to sustainability integration. Furthermore, the study addresses the nuanced challenges of balancing economic objectives with sustainable practices, highlighting the importance of strategic alignment for long-term success in the sports corporate industry.

ABSTRACT. This study investigates non-financial accounting novelties within the “ECOSISTER: Ecosystem for Sustainable Transition in Emilia-Romagna” project, aligned with and funded by the “NextGeneration EU” plan. Sustainability is still an urgent challenge for organisations increasingly compelled to acknowledge the significance of integrating environmental, social, and governance (ESG) factors into their operations. In addition, accounting for non-financial purposes often appears as a voluntary, self-crafted practice that organisations develop to gain competitive advantage and visibility. In light of this, the European Union (EU) Taxonomy emerges as one of the latest methodologies the EU defines for accounting and measuring industrial ecosystems toward the transition to sustainable- ble activities. This work aims to examine whether the Emilia-Romagna regional industrial ecosystems recognise and align to such new metrics. We aim to explore organisational and managerial implications for enterprises and how these regulations influence their actions. Contributing to developing and interpreting an extensive survey questionnaire intersecting various academic disciplines, this work draws on the literature based on isomorphism and institutional theories. We de-sign a framework to examine the three isomorphic forces: normative, coercive, and mimetic. The outcomes of this work are twofold: (i.) to qualitatively describe the existing research interconnecting isomorphic forces, information technology, and non-financial accountability practices; (ii.) to recognise the main drivers that could contribute to targeting the Italian production ecosystem toward sustainable transition. Hence, this preliminary study lays the groundwork for examining a large-scale survey, building theoretical and methodological foundations for examining the “alignment” of Italian’s industrial ecosystems to the EU Taxonomy

ABSTRACT. This study suggests refinements in the measurement of soft skills in Project Management, advocating for a more flexible application of the measures outlined in the IPMA Key Competence Indicators. This approach involves utilizing various soft skills as intermediaries to create a harmonious alignment between the 221 measures and the 10 People Competence Areas. Under the supervision of a certified expert, the competencies were aligned with the PCAs, facilitating their enrichment. Given that the redesign of the alignment between soft skills and measures is the cornerstone of our approach, we conceptualized a new architectural framework. This methodological refinement aims to streamline the matching process, thereby facilitating a smoother connection between measures and soft skills. Furthermore, a literature review was conducted to identify the most frequently used instruments for the assessment of soft skills. The approach we propose, based on an innovative architectural framework, favors greater accuracy and reliability in the correspondence between already defined measures and an enriched range of soft skills. Additionally, capturing enacted behavior reduces the potential for subjective bias inherent in conventional methods based solely on self-reported behaviors and third-party observations.

ABSTRACT. The shift to hybrid workplaces has accelerated following the COVID-19 pandemic, offering new opportunities for organisations to create value. While it is widely recognised that the HR function plays a crucial role in managing this transition, existing research has not suffi-ciently explored the strategic role of HR in effectively implementing hybrid work environ-ments. This study addresses this gap by providing both theoretical and practical insights into how HR can lead and support hybrid work arrangements. Through the lens of the Harvard model, the research employs a longitudinal case study of an Italian company over four years, analysing the HR department’s interventions in collaboration with management and employees. The study examines how HR practices were co-designed to align with stake-holder interests and situational factors, ultimately creating a coherent strategy for hybrid work implementation. By integrating theory with practical application, this research contrib-utes to the literature on HR management and hybrid work, offering a detailed exploration of the necessary alignment between HR practices and organisational goals in hybrid work envi-ronments, and highlighting the importance of continuous outcome monitoring.

ABSTRACT. In this study we analyze the effects of what we define “always working & everywhere availability”, which is referred to the condition brought by technological advancement and in particular work activities carried out remotely, thanks to the actual technological devices and smartphones, away from dedicated workstations which often result on working beyond pre-established times and inability to break away and rest from work anywhere. The following qualitative study performed in various organizations explores the negative effects of this condition and reveals the crucial role played by sense of responsibility. Implications of the study are particularly relevant for both Human Resources departments to improve safety conditions in their organizational contexts and researchers who want to further understand determinants and effects of new work modalities.

ABSTRACT. This study describes the conceptual structure of Proof of Concept research in the fields of innovation and technology management over the past 33 years (1992-2024). Throughout this period, numerous terms and theoretical perspectives have emerged, leading to a fragmented and dispersed field. Uti-lizing a co-word analysis based on author keywords from the Scopus data-base, we selected the most frequent terms to provide a comprehensive over-view of current studies. Through cluster analysis, we identify and highlight the key labels used by scholars to investigate Proof of Concept, illustrating their arrangement into distinct subgroups. Additionally, we interpret the re-lationships among terms using multidimensional scaling and employ over-lay visualization to anchor the relevance of keywords over time. Our find-ings reveal the coexistence of several conceptualizations within Proof of Concept research, ranging from technological advancements to methodolog-ical approaches. This study offers a refined conceptual framework, contrib-uting to both theoretical inquiry and practical applications in organization-al contexts.

ABSTRACT. The concept of digital transformation has gained significant interest across various fields due to its diverse and engaging nature. The discussion on the public sector and digital transformation has become more crucial as this transformation extends beyond economic impact, intensively influencing public administration and societal structure. To understand this phenomenon, our aim is to explore the current state of the art of digital transformation within public administration. The study was carried out on 459 documents from 1997 to 2024 using the Scopus database. Then, we apply Bibliometric methods for descriptive and conceptual analysis. The paper contributes by identifying themes, contributions, and trends discussing the digital transformation in public administration. Our findings reveal a steady increase in scientific output, with a notable peak from 2020 to 2023 due to the COVID-19 pandemic. China, the UK, and Germany are the countries with the highest number of papers discussing digital transformation within public administration, while keywords like digital transformation, digitalization, e-government, and COVID-19 are among the most discussed topics. This study has the potential to provide a broad overview concerning the scientific discourse about digital transformation in public administration and can support researchers, policymakers, and educators to advance their knowledge on this specific topic.

ABSTRACT. This work-in-progress study examines the emergence and development of Renewable Energy Communities (RECs) in Europe, focusing particularly on the recent regulatory framework established in Italy. Supported by significant incentive policies, RECs aim to accelerate the sustainable transition of inner-country-localised ecosystems, building on a community-centric approach to redesigning energy production and consumption. Although many studies contribute to such scientific literature on renewable energy (especially from a technical perspective), very little research examines the characteristics and implications of RECs (especially considering the relevance of the social objective relative to the phenomenon). Moreover, while the necessity for a social impact evaluation model of RECs is increasingly emerging from the practical realm, little is known from an integrated perspective of organisational, managerial, and information systems (IS) aspects. Following in the footsteps of the IS tradition, this study seeks to contribute to such a discourse by considering technology as a component of the solution for addressing this need. We adopt a Design Science Research (DSR) approach for designing and developing an IT artefact crafted on RECs. At the same time, this artefact intends to enhance operational efficiency and establish a robust social impact evaluation system. The outcomes of this research are twofold: (i) to provide a comprehensive overview of the current landscape and challenges RECs face, and (ii) to propose a novel IT-based solution for evaluating and maximising the social impact of RECs. This paper focuses particularly on the first two steps of the proposed DSR approach, providing the groundwork for the next steps.

ABSTRACT. In maritime supply chain management, challenges such as material traceability, environmental sustainability, and economic efficiency significantly hinder effective materials management and limit the opportunities for recycling and reusing ship components. This study presents a framework that integrates blockchain technology (BT), smart contracts (SC), and artificial intelligence (AI) to address critical challenges in maritime supply chain management, such as material traceability, environmental sustainability, and economic efficiency. This framework represents a precursor to a more complex and advanced development. The main objective of the study is to analyze existing technologies and evaluate how they can be implemented more efficiently and practically in the maritime sector. The framework enhances the lifecycle management of ship components, promotes circular economy practices, and improves overall logistics operations. The integration of digital twin (DT) technology further supports real-time monitoring and decision-making, creating a scalable and adaptable ecosystem that optimizes resource use and maximizes residual value. The research outlines the potential benefits and practical implementation challenges of this advanced digital framework in the maritime sector, offering a pathway toward more sustainable and efficient supply chains.

ABSTRACT. Sustainability and Digital transformation (DT) are relevant issues in literature on small and medium-sized enterprises (SMEs). The theoretical and practical implications between these processes have been explored in literature ((Guandalini, 2022); however, this literature focuses more on larger companies, it is fragmented (Berger et al., 2019; Cennamo et al., 2020) and not well represented in the scientific discourse (Beier et al., 2021). This situation affects the implementation of sustainability through DT within SMEs(Tick et al., 2022) (Appo et al., 2021). To fill this gap, addressing new impactful research and useful managerial approaches, this paper aims to improve our understanding of this process in SMEs with a focus on sustainability, through a structured literature review according to Massaro et al. (2016) methodology. We analysed a final sample of 51 papers published between 2016 and May 2024, gathering data by Scopus database, performing bibliometric and meta-analyses, and applying RStudio and Nvivo software. Research on digital transformation and sustainability in SMEs has grown but the relationship between digital transformation and sustainability is often seen as conflicting, but future research should address gaps, explore the social dimension of sustainability, and develop effective managerial approaches.

ABSTRACT. This paper investigates the role of digitalization and national cultural dimensions in enhancing or hindering workplace diversity and inclusion (D&I). Employing three country-level databases, it explores how different combinations of cultural dimensions and digitalization levels affect the degree of workplace D&I. Longitudinal data on 28 countries worldwide are analysed employing fuzzy-set qualitative comparative analysis (fs-QCA). The findings highlight how, at the country level, in the presence of high workplace digitalization, specific combinations of cultural dimensions, which include the presence of high indulgence and low power distance, masculinity, and uncertainty avoidance, lead to high workplace D&I. Conversely, when workplace digitalization is low and the context is characterized by high power distance, masculinity, uncertainty avoidance, and low indulgence then the workplace D&I is low. Therefore, the paper provides theoretical support and empirical evidence on the double-edged sword role of digital technologies in enhancing and hindering workplace D&I, at the country level, depending on their combinations with national cultural dimensions.

ABSTRACT. Efficient post-harvest management of apple supply chains is critical to min-imize waste and preserve fruit quality, particularly in the storage phase. This study addresses the inefficiency and inaccuracy of defect and disease assessment in Controlled Atmosphere (CA) storage intake, where rapid and reliable evaluation of large quantities is imperative. Existing literature fo-cuses on machine learning applications in pre-harvest crop monitoring, but practical, post-harvest solutions remain underexplored. We propose the de-velopment of a Convolutional Neural Network (CNN) for detecting apple defects that seamlessly integrates into existing CA storage warehousing op-erations. Employing Action Design Research, this interdisciplinary study collaborates with a medium-sized fruit storage enterprise in Styria, Austria, iteratively refining a CNN model through an Action Design Research (ADR) team. This research not only aims to fill the gap between academic methodologies and practical application but also seeks to enhance opera-tional efficiency, demonstrating the real-world utility of advanced machine learning in agriculture.

ABSTRACT. Over the past few years, the resurgence of Generative AI (Gen AI) has led organizations to implement a broad variety of applications based on Gen AI However, when used for decision-making or content generation, Gen AI, similar to AI suffers from biases rooted in unrepresentative datasets, inadequate models, flawed algorithms, social and human stereotypes. These biases could lead to in-correct decision-making, miscommunication, and inappropriate outcomes if not accounted for adequately. This paper identifies mitigating mechanisms for ad-dressing socio-technical biases that could creep in when organizations develop and implement Gen AI applications. Based on semi-structured interviews of 15 experts, we outlined 26 mechanisms, to address socio-technical biases. We also highlight the role of transparency and fairness and ways to achieve this for de-veloping Gen AI applications. These findings contribute to a critical yet not fully explored aspect of socio-technical biases and address socio-technical biases in developing and implementing Gen AI applications.

ABSTRACT. Play impacts children's learning and development, which is also crucial for their physical, mental, social, and emotional health. Digital play improved the wellbeing of children more than other play activities, especially for those with higher needs for belonging. The symptoms of Internet Gaming Disorder (IGD) include having trouble controlling one's impulse to play games (sometimes known as "digital" or "video"), giving gaming priority over other pursuits, and persisting in gaming in spite of drawbacks. In addition to aggravating technology-related problems, prolonged seclusion and excessive use of technology, and limited social interaction can have the unfavorable impact of reinforcing unhealthy lifestyle choices and encouraging harmful gaming behaviors in certain individuals. Developing and promoting sensible, efficient strategies for online gaming is crucial. Active parents teach us about their experiences with difficult situations. We learn from active parents about the ways they have experienced problematic gaming in their households and use this learning to propose a conceptual model of social sustainability for addressing problematic gaming through the lens of the sociotechnical perspective. We close with a discussion on potential responsible online gaming technology that could provide constructive social development and adaptability, promoting safety and wellbeing to reduce the risks of negative lifestyle change, social isolation, and addictive impact, as well as promoting learning and growth.

ABSTRACT. Blockchain technology has been shown to significantly impact firms' innovation performance by enhancing business processes, streamlining information and knowledge, and providing resources for innovative and unique products. However, the underlying causal mechanisms between Blockchain use and innovation performance remain unexplored. Preliminary findings suggest that Blockchain technology can influence innovation outcomes by enhancing inter firm cooperation and by altering customer interactions. The effectiveness of these interactions, however, is shaped by internal organizational practices such as delegation of decision-making, internal communication, and knowledge-sharing incentives. Through the lens of open innovation theory, this research examines how Blockchain fosters external innovation sources and serves as a dual enabler of exploration and exploitation. Structural Equation Modeling (SEM) is used to analyze these complex relationships. The findings contribute to open innovation theory, organizational ambidexterity, and strategic management, providing valuable insights for both academics and practitioners regarding the strategic implications of Blockchain adoption

ABSTRACT. With artificial intelligence and emotion-sensing technologies going to become pervasive in human-computer interaction, their integration in various business verticals is also not devoid of controversies. The available academic literature is currently dominated by development and modelling aspects of Emotional Artificial Intelligence (EAI) where the studies have focused on developing algorithms and apps to track emotions. Exploring the concept of emotion-sensing AI in the context of management research may offer the potential to improve various aspects of organizational dynamics, leadership, and employee well-being, contributing to the overall success and sustainability of the organization. Nevertheless, this area remains relatively uncharted, leading to a scarcity of academic literature on the subject. The current study attempts to explore and develop insights about the concept by conducting a thematic analysis of published content from various online sources. We identify emergent key themes or topics. Subsequently, we delve deeper into the discursive elements, examining the underlying sentiments towards the technology. The research findings suggest that the nascent idea of EAI holds significant promise for causing significant disruptions across industries. Nonetheless, effective oversight from regulatory bodies and organizations is imperative to achieve the intended outcomes.

ABSTRACT. The digitalization of public administration is crucial for the socio-economic progress of any country. In Italy, the digital transformation process is slow, with the e-Government model lagging behind European standards. This delay hinders the full potential of digitalization in Italy. This study examines Digital Administration, its legal and social foundations, and focuses on the role of the Responsible for Digital Transition (RTD). It addresses two research questions: 1) What is the current status of RTD appointments in Italy under the Digital Administration Code (CAD)? 2) How well do the appointed RTDs’ skills align with legislative requirements? To answer these questions, we analyzed 954 Italian RTDs’ curricula against CAD requirements. The research reveals that over 20% of public entities have not appointed an RTD. Moreover, there is a significant gap between the competencies of appointed RTDs and those mandated by the CAD. These findings highlight critical issues in the digital transition of public administration, emphasizing the need for targeted interventions to address gaps in RTD appointments and training. This study critically evaluates the current state of digital transition in Italian public administration, identifying main challenges and proposing solutions to enhance the effectiveness and coherence of RTD appointments.

ABSTRACT. In today's business landscape, data-driven business models are considered fundamental pillars for the success of organizations (McAfee et al., 2012; Zolnowski et al., 2016). Guided by the increasing use of Big Data and the integration of Artificial Intelligence (AI), these models place data analysis at the center of business strategies. Building upon the study conducted by Kulakli, et al., this article aims to expand and deepen the evolution of the role that big data and artificial intelligence play in data-driven business models. Through a thorough analysis of publications, we performed a quantitative and systematic review, identifying the relationship between artificial intelligence and big data in current business models. This is done through bibliometric analysis of publications from 2000 to 2023 in journals derived from the Web of Science (WoS) Core Collection database. The study maps the temporal trends of the dedicated literature, identifying key countries, collaboration networks, and high-frequency keywords. The findings captured future research trajectory and emerging trends from the analysis of word frequency over time in relation to new data-driven and artificial intelligence-oriented business models

ABSTRACT. The fashion industry, a vital sector of the global economy, has significant environmental and social impacts due to its rapid growth and high demand for textiles and apparel. This increase in production has led to substantial envi-ronmental degradation, including high carbon emissions, water pollution, and re-source depletion. The industry’s reliance on non-renewable resources, particu-larly synthetic fibers derived from fossil fuels, exacerbates these issues. In re-sponse, there is a growing interest in sustainable materials and practices. The concept of a circular economy, focusing on efficient, closed-loop systems, is gaining traction as a solution to these challenges. Designers play a crucial role, as their choices can determine up to 80% of a product's environmental impact. This has spurred innovation in bio-based materials, such as those derived from mycelium, which offer sustainable alternatives to traditional textiles. The MY-FI project aims to develop mycelium-based materials for fashion and automotive applications, emphasizing sustainability and performance. The project highlights the importance of material-driven design, where the material's properties guide the design process, ensuring the creation of innovative, sustainable products. This approach not only addresses environmental concerns but also aligns with the mar-ket’s increasing demand for eco-friendly and ethical fashion solutions.

ABSTRACT. Overall, standard economic theory treats numbers as trivial, acquired, and devoid of critical edges. However, a growing body of cognitive and neuroscientific studies has suggested that this treatment is invalid and unproductive. In this regard, studies on the perception of numbers and quantities are in full swing, while there is no shortage of contrasts and second thoughts. This work provides an introduction to the perception of numbers as a possible, further input to economic research. Existing works demonstrate the close interconnection between the cognitive and perceptual aspects of numbers. To this end, we will briefly introduce some of the key aspects raised by Leibovich [BBS 40(e164):1-62, 2017]. Subsequently, we will review two experiments conducted by Schley and Peters [Psychol. Sci. 25(3):753-761, 2014], which examine the perceptual and economic aspects of numbers. These experiments permit the investigation of how the distorting effects of number perception can influence decisions, even when the evaluations are based on numbers represented symbolically. Finally, we introduce an economic model formulated by Khaw et al. [Rev Econ Stud 88(4):19792013, 2021]. This model maintains some analytical tractability by presenting consistent experimental confirmations and opening up broad research perspectives.

ABSTRACT. Artificial Intelligence (AI) brought promise of making better decisions by augmenting intuitive decisions with data-backed science. So, it would be beneficial if studies look at how this variant of information technology can be leveraged in decision making and particularly strategic decision making. This study aims to synthesize the different modes of decision-making using IT and extend it to AI. The contribution of the study is that it takes a novel approach of using AI technology, namely Topic Model-ling using Natural Language Processing (NLP) to study the usage of AI technologies in making decisions using empirical data from 110 organizations around the world that have used an AI plat-form to manage their business. This study aims to ex-tend further to corroborate the findings provided by AI with those done us-ing traditional research methods

ABSTRACT. Accurate net sales forecasting is crucial for a company’s planning. At differ-ent hierarchical levels, cluster analysis is useful for solving the trade-off be-tween bottom-up and top-down forecasting approaches. We develop a hierarchical method to enhance accuracy at different hierarchical levels. We create clusters based on statistical time series features rather than natural attributes such as geography, customer type, or product categories. Emphasizing a staged research process with “build” and “evaluate” activities, we choose a science and technology company as our case. Our approach provides business professionals with an understanding of the applied algorithm and the potential for expert recommendations. Product launches, withdrawals, high fluctuation, sales with similar seasonality, upward/downward trend sales, etc., can be automatically clustered. At the case company, we improved the forecasting performance significantly compared to the linear regression, seasonal naïve, SARIMA and Holt-Winters methods currently applied without clustering.

ABSTRACT. This study delves into computational sustainability, leveraging AI methods to address sustainable consumption and production challenges. Utilizing historical purchasing data from a prominent Icelandic supermarket chain spanning from 2018 to 2023, the study explores various dimensions of data aggregation, including macro-categories, micro-categories, and product labels. Six distinct forecasting methodologies are employed: regression-based, LLM, foundation models, and statistical approaches. Evaluating these models using Root-Mean-Squared-Error RMSE reveals different findings dependent on dataset aggregation. Notably, datasets with finer aggregation exhibit higher predictive accuracy, with the LLM model consistently outperforming others across macro and micro-category datasets. While one of the foundation models demonstrates comparable performances, LLM's efficiency is notable despite GPU utilization and longer processing times. The regressor emerges as the most effective predictor for datasets categorized by product labels, with LLM and one foundation model also displaying commendable performance. These findings offer valuable insights for reducing overproduction and optimizing production planning in the production industry, underscoring the importance of leveraging advanced forecasting models to promote sustainability. Further details and implications are discussed in the paper.

ABSTRACT. Evaluating the effects of natural resources use in urban areas has become more important in the last few decades. An important role is played by environmental accounting, a consolidated system that considers both economic and environmental dimensions. The objective of this work is to examine both recent and previous research in the field of urban environmental accounting. Extracting from the Scopus database, this study provides insights on two datasets. The former was obtained through a preliminary search with limited related keywords. The latter was obtained with more focused and relevant keywords obtained from the first dataset. The bibliometric analysis conducted highlights important areas of research that employ environmental accounting to evaluate the sustainability of cities, by considering several publications and highly cited studies in the field. Furthermore, this study explores the main topics investigated in this field by exploring recurrent keywords. The co-citation analysis also portrays the connection between the highly cited references in the datasets. The bibliometric analysis provides a preliminary and comprehensive research contribution to urban environmental accounting and cities. Despite having certain limitations, this work sheds light on when the literature starts to grow on the topic and what are the main sources of contribution.

ABSTRACT. Aligned with the evolution of Industry 5.0, which advocates for human-machine collaboration, the hotel sector has embraced new technologies and methods of work organisation referred to as Hospitality 5.0. Several studies contend that the concept of humans collaborating with advanced technologies is nascent and warrants thorough exploration through empirical analyses to mitigate negative impacts, enhance benefits, and ensure adequate conditions for collaboration. This study aims to analyse hotel employees' perceptions of cobots using a mixed-methods approach in order to explore their attitudes towards working alongside these collaborative robots. The attitudes of hotel employees were examined, focusing on some psychological and social aspects relevant to effective collaboration. Data was collected through employee questionnaires, the development of which was based on focus groups with experts. The research was conducted using a comparative analysis among respondents from Russia, Egypt, and Italy. It was discovered that social and psychological factors can significantly influence robot acceptance and human-robot interaction (HRI) in the workplace. Some similarities and differences in the perceptions of respondents from different countries were identified. The findings of the study can provide important insights for developing strategies and policies at the organisational level for the integration of collaborative robots (cobots) in the hotel environment, as well as offer significant suggestions for HRM specialists to adequately prepare human resources for the organisational transformation related to Work 5.0.

ABSTRACT. Despite the availability of advanced technology, the banking and financial sector is prone to cyberattacks. A systematic literature review is conducted with the primary objective to map the focus of research on the use of Artificial Intelligence (AI) for cybersecurity. Due to the increasing interest of researchers in using AI for cyber security in recent years, the current study limits the research span between 2018 2022. Using the Preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach, literature from three databases using Google Scholar as a search engine is extracted and synthesized to identify the research streams in literature. This review suggests that cyberattacks are becoming sophisticated and inevitable. Innovative technologies such as AI are the way forward. The study identified several streams in literature, such as technical issues, positive and negative use, ethical and legal issues, individual-level issues and organisation-level issues. The current study is based on the review of the available literature in a relatively new field. The paper is one of its kind as it focuses on past, present and future research in the field and identifies some streams in literature. This will pave the way for researchers to evaluate these streams and find barriers associated with AI-enabled cybersecurity, hence, opening new avenues empirically.

ABSTRACT. Digital transformation introduces significant cybersecurity challenges for organizations, with the rapid pace of change that further complicates the development of a robust cybersecurity culture (CSC). While previous stud-ies have focused on building, developing, and conceptualizing CSC under relatively stable conditions, they often overlook the specific challenges posed by rapid digital transformation (RDT) and lack detailed insights into the initiatives and key factors that promote a desirable CSC amid RDT. This study employs a qualitative research methodology, collecting data from a financial institution undergoing RDT through semi-structured in-terviews and archival documents. The findings provide empirical insights into the cybersecurity challenges presented by RDT and identify critical factors that contribute to cultivate a desired CSC in such dynamic context. Theoretically, this research shows that organizations can develop a desired CSC through deliberate actions, such as regular training, leadership initia-tives, and updating policies and guidelines, even amid rapid organizational changes. Practically, it deepens the understanding of CSC in dynamic set-tings and provides strategies to enhance security and address cybersecurity challenges under conditions of rapid transformation.

ABSTRACT. Paper voting has many inefficiencies, so in a world where digital technology is becoming increasingly pervasive in our daily lives, many researchers are focusing on projects concerning the design, implementation and adoption of electronic voting in different fields and contexts. Specifically, an increasing number of papers have been published in the last ten years. Some papers study the experiences developed in specific countries, and others discuss solutions based on a particular technology, such as blockchain, whose characteristics are particularly relevant for implementing a digital voting system. To this end, we have extracted 1451 articles from the Scopus database to create the initial dataset on which we performed a bibliometric analysis. The aim of this paper is twofold: (1) to quantitatively describe the existing research on the subject and its evolution, and (2) to identify principles that characterize the discussion on e-voting through a co-word analysis. The results provide an overview of the field and insights for future research and practical implementation.

ABSTRACT. Design Science Research (DSR) projects significantly increase the knowledge base while delivering practical results. These projects involve collaboration between practitioners seeking functional solutions and re-searchers aiming to contribute to knowledge generation. This difference in goals can lead to challenges. To date, there is little research on the collabora-tion between researchers and practitioners during the different phases of DSR. As the start of a larger research initiative, this paper provides prelimi-nary insights into practitioner-researcher collaborations within DSR pro-jects. The work is structured around four core areas of investigation: first, the project phase in which the collaboration occurs; second, the parties in-volved; third, the kind of artifact developed; and fourth, the challenges en-countered during the collaboration between practitioners and researchers. The aim of this research initiative is to explore these collaborations in depth and to develop implications and innovative procedural models for DSR. This paper represents the first phase of an ongoing research initiative. Preliminary findings suggest that the documentation of these collaborations lacks precision and adequate oversight. The purpose of this study is to highlight the need for further research in this area, with the final goal of es-tablishing a framework to guide future research efforts in practitioner-researcher collaborations.

ABSTRACT. The growing need to enhance the collection, use, and exploitation of data drives organisations to explore new tools and methods for managing them efficiently. Among those, the data value chain (DVC) represents a novel concept that can help organizations to fully unfold the potential of data. This model encompasses the entire process of extracting value from data, from its aggregation to its utilization. Depending on its purpose, the DVC comprises a set of process and technologies that organizations must configure to transform data into valuable assets. The configuration of DVC poses significant challenges to organizations since there is limited understanding of how to effectively organize the DVC in terms of resources and technologies. Moreover, we observe that in a variety of contexts, the activities included in a DVC not only occur in a digital space but also in a physical environment, creating an additional layer of complexity due to the different nature of physical and digital activities. This paper aims to explore a particular DVC that comprises activities occurring at both digital and physical level. More specifically, our research context is the National Park of Abruzzo, Lazio, and Molise (PNALM), where technologies, digital and analog, are essential for supporting environmental and wildlife conservation strategies. Involved in operations related to wildlife monitoring, all organizational areas engage in collecting, sharing, or exploiting data by integrating both traditional and digital data sources. We contribute to the literature by advancing our understanding of the challenges organizations face in organizing and managing the DVC.

ABSTRACT. This study investigates how I&E initiatives contribute to achieving urban smartness. To ensure a thorough analysis, we focused on 40 projects with complete data sets. This analysis revealed that pilots, stakeholder collaboration, engagement activities, training and mentoring, idea creation and startup support are crucial practices. Interestingly, only a small portion of projects focused on creating physical infrastructure. Existing infrastructure sufficiency, proposal’s call, or even the COVID-19 pandemic could be underlying causes behind this observation. By promoting these practices, cities can achieve sustainable and efficient urban development, such as increased citizen participation and the creation of green technologies.

ABSTRACT. The use of generative (gen) AI is becoming pervasive. Industry observers expect this market to grow to more than 1.3 trillion USD by 2032. However, gen AI is energy-intensive, causes carbon emissions, and data centers con-sume large amounts of fresh water. Beyond current research which often focuses on “pure” IT issues such as GPT designs, we consider gen AI’s sustainability costs. In doing so, we perform a cross-industry survey ultimately design a multi-dimensional evaluation model which combines the criteria of efficiency, effectiveness, and experience with the (new) ESG dimension. Driving future discussions we focus on three findings from our survey: (1) Considering the use of gen AI, only two thirds of the respondents have ESG costs in mind. (2) Carbon emissions, energy, and water consumption are the most relevant environment criteria. (3) With a normalization, the four “E” model can help to identify best use cases.

ABSTRACT. This research investigates the relationship between digital innovations and sustainability performance, utilizing a firm-level, cross-industry global panel dataset from 2018 to 2019. We measure digital innovation by the number of dig- ital patents filed and we further capture the environmental, social, and govern- ance (ESG) sustainability metrics. Our methodological approach employs a panel regression analysis, incorporating both a fixed effect model and a dynamic panel data (DPD) estimator. Our findings reveal mixed effects of digital innovation on sustainability. Specifically, the fixed effects model indicates a negative impact on environmental and governance aspects. In contrast, the dynamic estimator consistently shows a positive effect across all ESG pillars.

ABSTRACT. This study explores the socio-technical dynamics of digital nudging techniques in promoting environmentally friendly snack choices among teenagers. Using a Choice-Based Conjoint Analysis approach, we designed a survey incorporating various snack attributes, including nu- tritional content, packaging, flavor, and traffic light nudges. Four distinct survey variants were created: one without traffic lights, one with a com- plete set of three traffic lights (red, yellow, green), and two featuring only red or green traffic lights. The study involved over 400 adolescent girls aged 14 and 15 presented with different snack scenarios and asked to se- lect their preferred options. Sensitivity analysis was applied to evaluate the reliability of the survey responses. Our findings revealed complex in- teractions between digital nudges and adolescent decision-making, with unexpected outcomes observed in the variant featuring all three traffic lights. These results highlight the critical role of simplicity and clar- ity in the design of nudging mechanisms, emphasizing the importance of socio-technical considerations in influencing adolescent snack choices. This study provides valuable insights into applying nudging techniques within socio-technical systems, particularly in fostering sustainable be- haviors among teenage populations.

ABSTRACT. Dark patterns, influential in shaping global policy and user engagement, have garnered significant attention in both ethics applications and design practice literature. This comparative case study investigates the ability of girls and non-binary teenagers to recognise dark patterns and explores the emotional impact of these design choices in digital environments. Employing a questionnaire (n=196), the study reveals a low recognition rate of dark patterns in real-world design artefacts, coupled with a passive emotional response. The primary contribution of this paper lies in showing the limited dark pattern detection capabilities of teenagers and presenting their perceptions of these design elements. By doing so, the study underscores the need for transdisciplinary dialogue, emphasising the potential impact of these design choices within the Human-Computer Interaction (HCI) and socio-technical environments. This research provides valuable insights into the challenges posed by dark patterns and encourages further exploration of their implications, even more on vulnerable communities.

ABSTRACT. While the use of artificial intelligence (AI) in digital marketing applications as well as the use of AI-based emotion recognition (ER) have been intensively studied independently of each other, and also some proposals for combined applications exist, the potential acceptance of the latter by customers remains an open issue. Therefore, in this paper a model for studying their acceptance is derived, based on a qualitative study. Results indicate that there are customer segments characterised by extremes in terms of their attitudes towards ER. In addition, numerous communication aspects for increasing the willingness to use ER have been identified, including transparent communication and emphasizing user benefits.

ABSTRACT. Exponential technologies (ET) such as Artificial intelligence (AI), intelligent robots, and the Internet of things (IoT) are transforming organizational structures, providing both opportunities and challenges. This research explores the ethical and sustainable deployment of exponential technologies within organizations. Using a bibliometric analysis of scholarly literature from 2014 to 2024, we identify top papers, journals, trends, and research areas in this field. Our thematic analysis maps the relationships between ET, sustainability, and ethics, by the help of which we proposed a conceptual framework to improve the use of ET in organizations for future studies. This framework emphasises ethical integration, sustainable organizational transformation, and a human-centric approach to ET adoption. Recommendations for practice, policy development, and future research emphasize the importance of stakeholder engagement, interdisciplinary collaboration, and ET literacy in the era of exponential technologies.

ABSTRACT. Leveraging big data in the mobility sector can help address some of today's most significant challenges, from enhancing sustainability to optimizing mobility services and improving the quality of life for users. However, de-spite the recognized potential of data sharing to generate social impact, those entering data sharing partnerships often express concerns regarding cost-benefit uncertainties, data use risks, and the operational and organiza-tional challenges associated with collaboration. Our research adopts a collaborative perspective on data sharing, investigating how perceptions of the benefits and risks influence participation strategies in such partnerships. We conducted empirical research within the context of the European project MobiDataLab, which aims to prototype new solutions for mobility data sharing, increasing data sharing culture. This study involved collecting archival data and conducting semi-structured interviews with key actors in the transport sector, analyzed using the grounded theory approach. Our findings underscore the role of trust and satisfaction in shaping attitudes toward data sharing and behaviors within large cross-sectoral partnerships. These attitudes and behaviors are influenced by perceptions of data sharing risks and opportunities, leading to varied satisfaction levels with the status quo and trust in data sharing processes and partners. These factors, in turn, pave the way for three attitudes and corresponding data sharing strategies: refraining, improving, and maintaining. By elucidating how different atti-tudes and beliefs regarding data sharing impact strategies at the partnership level and thus influence a partnership’s trajectory and outcomes, we contribute to the literature on cross-sectoral partnerships and the collaborative dynamics of data sharing.

ABSTRACT. The study addresses a crucial question regarding the (ir)responsible use of digital technology in education. Adopting a student- centric perspective, the research contrast the positive and negative effects of digital technology in business education settings. The paper utilizes a survey of students (n = 285) and applyes partial least squares structural equation modeling (PLS-SEM). The results confirm that digital technology in business education settings has dual effect. On one hand, digital technology enhances engagement; on the other hand, it increases the level of distraction. The engagement has then a positive effect on task performance, while link from distraction to task performance is positive and not statistically significant. The study has a few limitations. We focused on the impact of digital technology use on students’ performance, however we overlooked the influence of digital technology on individual outcomes. Moreover, the task complicity, qualities and characteristics were not considered. In terms of practical implications, the results of the study enhance our understanding of the phenomenon of student behavior in the context of digital technologies use. Thus far, the research enables consideration dual effects of digital technology use in the development of educational product design and teaching strategies. The research attempt to extend framework of responsible use of technology by deepen understanding of digital technology impact on students’ performance. Furthermore, the study compared the positive and negative impact of digital technology using. The last, we explore phenomenon in business education settings.

ABSTRACT. In the current economic climate, ESG ratings are becoming an increasingly crucial consideration for investors. However, it is notable that the scores assigned by different agencies to the same company can vary significantly. This divergence in ratings is attributable to the disparate methodologies. In particular, ESG rating agencies employ different degrees of weight assigned to each criterion in their calculations. In this regard, the divergences observed in ESG ratings raise questions about their reliability. The existing literature indicates that these divergences result from a lack of standardisation. Moreover, subjectivity also influences how ESG rating agencies conduct ESG ratings. One of the principal consequences is the dissemination of misleading information and the occurrence of information asymmetry among stakeholders and investors. In light of this, the present study employs a bibliometric analysis to examine academic research on ESG rating, focusing on topics encompassing ESG rating divergences and disagreements. The analysis demonstrates a growing interest in ESG rating research, particularly concerning the divergences observed among ESG rating agencies. This indicates an increasing awareness of the challenges associated with ESG ratings, metrics, and final evaluations. Overall, this work highlights the increasing importance of ESG ratings while acknowledging the need to address standardisation. This study provides valuable insights for future research in this evolving field by exploring existing academic publications and identifying key trends.

ABSTRACT. Abstract. The aim of this paper is to demonstrate how the implementation of Goal-Based Investing (GBI) methodologies for individual investors can lead to more sustainable and holistic risk management by directly addressing the bounded rationality nature of human beings (Simon, 1990). GBI methodologies effectively mitigate behavioral biases, which are inherent in human decision-making processes. This paper further investigates how an approach that is detached from the volatile dynamics of market trends can facilitate more informed decision-making. By focusing on personalized financial goals rather than market performance (Chhabra,2005), GBI provides a structured framework for managing risk in various scenarios. This approach allows investors to make more coherent and sound financial decisions, thereby enhancing their ability to manage risk and achieve long-term financial objectives. The findings suggest that GBI can be a valuable tool for individual investors seeking to navigate the complexities of financial markets with greater confidence and effectiveness.

ABSTRACT. Since the late 1990s, a significant acceleration in the decarbonization process of society on a global scale has occurred. In addition to mitigating the increasingly alarming problem of climate change, the diffusion of renewable energies can help counteract the economic slowdown by promoting growth and creating new jobs, as policymakers, supported by the scientific literature on the subject, have been arguing for some time now. However, conflicting results regarding the employment benefits of renewable energy sources (RES) suggest further investigation in an attempt to answer a crucial socio-economic question: is there enough empirical evidence to claim that renewable energy production creates real job opportunities? This paper aims to contribute to the ex-post literature on the employment-renewable nexus by exploring the causal relationship between RES deployment and job creation in Italy at the regional level over the period 2000-2019. To this end, an econometric approach based on a standard panel data analysis is implemented. The observed positive relationship between renewable energy production and employment that emerged from the exploratory analysis is only partially confirmed by empirical findings. Panel estimates, indeed, reveal that in Italy the expansion of renewable energy production (REP) positively affects employment only when high levels of REP are achieved.

ABSTRACT. In experimental settings, process-tracking techniques are increasingly being used to study human decision-making and its impact on decisions and their outcomes. This work focuses on using eye-tracking as a way to predict eye movements during decision-making and its effects on economic outcomes. Despite being widely used in other research fields, eye-tracking is not commonly used in experimental economics. The work discusses various eye-tracking techniques and devices, specifically their applications in economics. It also proposes a novel experimental design using the public goods game framework and incorporating eye-tracking to assess participants' understanding of the experimental instructions and the essential elements required to make real economic decisions. These elements include the amount to be contributed to the common fund, the size of the common fund, and the resulting payoff. The work involves a treatment group and a control group. Both groups will answer pretest-posttest questions before and after participating in the experiment. The typical eye-tracking features during the experiment will be applied to the treatment group, while the control group will not. The work aims to identify connections between comprehension of the instructions and responses by analysing eye movements during instruction reading. Additionally, it enables the meticulous observation and analysis of participants' eye movements as they engage in economic decision-making. The intricate patterns of their gaze shed light on the strategic considerations and cognitive processes underpinning their choices. Although the work has limitations, it discusses and reflects on using eye-tracking techniques in experimental economics and emphasises the need for future research.

ABSTRACT. The research investigates the factors influencing the company’s decision to adopt the blockchain technology in accounting. To achieve this aim, the research applies the Technology-Organisation-Environment model and adopts a qualitative case study methodology, focusing on the case study of a leading provider of innovative solutions for document management and collaboration. The results reveal that the blockchain solution improves the company’s overall information system, by increasing the reliability and transparency of accounting records, the traceability of transactions, and reducing cost and human errors. In addition, the findings of the research reveal that technological aspects predominate on both the organization and environment dimensions. The paper contributes to literature on blockchain by providing an empirical investigation of the factors influencing the decision to adopt blockchain technology according to a blockchain provider perspective. In addition, the research contributes to previous studies by investigating the blockchain adoption in the aviation industry. From a practical perspective, the research provides suggestions to companies that want to adopt blockchain by revealing the antecedents of the implementation, especially with reference to the supply chain.

ABSTRACT. In organisational contexts, People with Disability (PwD) often face multiple challenges in “simply” doing their job like other employees. Overcoming these problems is receiving increasing attention from several international organisations and national regulations to promote models of inclusion of PwD in the workplace. This issue is more binding for Public Organizations (POs) because their institutional mission and the public value of their actions overlap with the principles of social responsibility. To achieve the goal of inclusion, it is crucial for POs to involve all employees in building and sharing the value of PwD inclusion through stakeholder engagement logics that can influence their individual behaviour within the organisation. The present study aimed to investigate the influence of cultural and personnel controls on the Inclusive Behaviour (IB) of public sector employees towards PwD through the role of inclusive leadership. To this end, a questionnaire was used to collect data from subordinate employees of Italian municipalities. The results of the regression analysis have shown that cultural and personnel controls have a positive effect on subordinate employees’ IB towards PwD through the indirect effect of inclusive leadership they experience. The paper aimed to contribute to the literature on the processes of integrating CSR principles into MC by delving into the little explored power of informal controls to induce employees’ IB towards PwD within POs. Public management and policy makers should value these fruitful integrations of the informal controls with the human resource management to promote substantial workplace inclusion of PwD.

ABSTRACT. This research explores the transformative impacts of Business Intelligence (BI) and Artificial Intelligence (AI) technologies on organisational structures, with a special focus on legal and philosophical implications. As businesses increasingly integrate data analytics into their operations, the role of BI and AI extends beyond operational efficiency to shaping organisational culture and power dynamics. This study examines how these technologies influence decision-making processes, employee roles, and organisational ethics, under the framework of data protection regulations like the GDPR and considerations of algorithmic transparency. Through qualitative methods including focus groups and a comprehensive survey, the research captures diverse professional perspectives on the adoption and effects of BI and AI technologies. Results indicate a significant shift towards data-driven decision-making, increased transparency, and changes in power dynamics, with a notable impact on the efficiency and work roles of employees. The study also addresses the challenges of integrating these technologies into traditional organisational structures, highlighting issues such as resistance to change and the need for skill development. The discussion extends to the legal responsibilities concerning data privacy and the philosophical debates on autonomy and fairness, suggesting that the alignment of technology with ethical and legal standards is crucial. This research contributes to a better understanding of the multifaceted impacts of BI and AI technologies, recommending strategies for their ethical integration to foster more dynamic and compliant organisational environments.

ABSTRACT. Digital transformation has profoundly influenced how people interact and how businesses function and operate, leading to shifts in social structures, norms, values, and behaviors in institutions. This paper explores the intersection of societal change and digital transformation through a change management perspective, addressing three main issues: leveraging established theories for digital transformation, altering institutional arrangements, and understanding the multifaceted relationship between technology and societal change. This study uses a conceptual domain to investigate institutional logic and cultural impact on digital transformation. The paper offers both theoretical and practical insights, advancing the understanding of the relationship between technological and institutional change and providing strategies for effective change management to help organizations address the challenges and opportunities presented by digital transformation.