ABSTRACT. This work contributes to the study of Green Information Systems (GIS) for the transition to smarter and more sustainable cities, as well as drivers of innovation and entrepreneurship. The literature on GIS has primarily focused on the use of sensory data, neglecting the role of information systems to provide other types of data-driven services, such as knowledge or partnership recommendations. To ad-dress this gap, this paper offers a first conceptualization for the use of Green Recommendation Systems (GRS) and a first preliminary application to the Italian city of Milan. This was achieved by reviewing existing literature on GIS and rec-ommendation systems, and particularly on professional social matching. From there, an original framework presenting the functioning of a GRS for Smart and Sustainable Cities (GRS3C) was designed. This was then tested by simulating its usage for the city of Milan, focusing on the recommendation of academic knowledge and actors specialized on air pollution. Preliminary results show that a GRS3C may support policymakers and entrepreneurs in understanding the com-plexity of current issues, as well as in identifying local actors with relevant exper-tise. Doing so, this paper expands the concept of GIS and provides a new appli-cation of professional social matching concepts, thus contributing to both re-search areas. As a proof-of-concept, it may motivate the development of actual GRSs which could foster innovation and entrepreneurship for smart and sustain-able cities.

ABSTRACT. Over the last 20 years, the field of information systems has been of interest to academics for its potential to improve decision-making. However, researchers have mainly studied the benefits of using these systems in traditional business models. For this reason, researchers should determine what procedures are needed to implement information systems and what obstacles there are to adoption in the co-operative sector. This study applies a systematic literature review of 35 papers from 2005 to 2023 with the primary goal of demonstrating the advantages, methods, and obstacles of information system implementation in the co-operative sector. As a result, the study offers an in-depth description of how information systems and the co-operative sector are related. Researchers have not conducted a detailed analysis of this subject, despite its growing interest. Our research outlines the advantages and obstacles of using information technologies in co-operatives. This research contributes to the theoretical research streams on co-operatives and information systems. Instead, from the managerial point of view, this study demonstrates how information systems can enhance decision-making, stakeholder engagement, and the performance of co-operatives.

ABSTRACT. Destination management has undergone a profound transformation under the wave of the shift toward smart tourism. The aim of the paper is to provide an overview this emerging change and, adopting a deductive approach, derive propositions to enhance the overall understanding of the phenomenon. The originality of our contribution lies in the attempt to relate smart tourism to local development. Social Media, and the enormous amount of data generated (Big Data) are crucial factors in increasing the degree of smartness of a destination as well as in providing a smart touristic experience. Furthermore, low-cost carriers have further revolutionised destination management. They have established novel approaches to the booking process from tourists point of view, and a smarter approach in the interaction with tourists themselves. Their presence further increases the smartness of a destination and its attractiveness toward different segments of travellers, including digital nomads and potential start-uppers, who can act as key drivers of local growth and development.

ABSTRACT. Data need to be collected, stored, exchanged, integrated, and processed among a diverse set of actors and infrastructures to create value. Such reliance on other actors leads to the emergence of data ecosystems. Despite the focus on data ecosystems in the literature, little is known about who governs what data-related activities and how. Data ecosystem governance aims to ensure the alignment of activities with different goals and strategies of ecosystem actors. In this study, we seek to expand the conceptual model for data ecosystem governance. We show governance is multi-layer, multi-actor and multi-dimension which creates complexity and interdependencies

ABSTRACT. Ecosystems represent intricate networks of interconnected entities, marked by multilateral connections that extend beyond bilateral relationships and encompass dependencies across various dimensions. Participants within ecosystems are interlinked through resource dependencies and product/service offerings, fostering collaboration, innovation, and knowledge generation. A critical facet of digital ecosystems is the continuous interaction and exchange of data, which have evolved into pervasive resources for knowledge acquisition and action in response to challenges. In the current landscape of data ecosystems, the integration of technologies, processes, and data poses increasingly complex challenges. This paper examines this phenomenon through the lens of the systems integration literature, offering valuable insights into managing interdependencies and complexities within data ecosystems. To illustrate the practical application of these concepts, this study draws from the empirical context of the Gaia X project. By drawing on the knowledge and insights derived from the systems integration literature, we are better equipped to navigate the intricacies of integrating technologies, processes, and data within data ecosystems. This approach enables us to effectively address the challenges associated with data ecosystem integration, leading to successful outcomes and enhanced data-driven innovation.

ABSTRACT. The world health organization (WHO) published the ICOPE (Integrated Care for Older People) mobile application in 2017, intended to screen for intrinsic capacity (IC) decline (mobility, vision, hearing, cognition, mood and, nutrition) and provide a comprehensive assessment and treatment plan. Using the technology acceptance model (TAM), this study looks at the potential for introducing the ICOPE app to healthcare professionals (HCPs) in Lebanon and the ante-cedents for adoption. We conduct our pilot study through a data collection sur-vey from HCPs practicing across Lebanon. We built our statistical model on SMART PLS 3 based on initial hypotheses, after performing a descriptive analysis on the responses. The statistical analysis suggests that job relevance affects perceived usefulness of the ICOPE mobile app, the experience with technology influences perceived ease of use and perceived usefulness affects the intention to use the app. Given that the healthcare sector is increasingly adopting digital health tools, it is advised that the app be introduced on a bigger scale with complete training sessions to enable greater adoption and to improve the circle of care. This approach will help enhance the quality of geriatric care in Lebanon, encourage a multidisciplinary approach, and therefore promote healthy aging.

ABSTRACT. Abstract: The Covid-19 pandemic, whose effects on the forms of social organisation are still far from being fully explored, has opened the door to forms of experimentation unprecedented in their speed and extent. The pandemic outbreak has required immediate responses from organisations that have drawn on both intentional and unintentional repertoires. In par-ticular, the use of IT architectures was characterised by unintended re-sponses that nevertheless allowed organisations to respond to the de-mands of health systems and bureaucracy to document population protec-tion activities. The work we present here confirms that in the case studied, the benefits manifested themselves most clearly when organisations were able to be flexibility-by-deviation by drawing on infrastructural projects considered by ordinary management to be non-strategic until the arrival of the pandemic.

ABSTRACT. In this article, we present the main results concerning the biblio-metric analysis we developed for exploring the relationship between leadership and organizational change. Today, change is a constant in organisations, and leadership is one of the main factors affecting its outcome. The main objective of this work is to provide a complete overview of the studies discussing the two chosen intertwined topics, that could represent a valid starting point for developing future research directions. The bibliometric analysis was carried out on 359 articles published in journals belonging to the AJG ranking. We carried out the descriptive analysis of the dataset as well as the thematic analysis. For the latter, beyond the Authors' keywords distribution and co-occurrence analysis, we developed the thematic evolution, considering three specific phases in the publication trend, specifically 1974-2004, 2005-2014, and 2015-2023. We provide a description of the main themes debated in each phase as well as the most contributing papers.

ABSTRACT. With the ongoing policy changes globally, an understanding of policy con-vergence would help mitigate the inefficiencies that persist in implementing a new policy. By referring to literature in the past, taking inputs from policy actors and understanding the social and intellectual structure among the publication since 1985, this study aims to establish a starting point for fu-ture researchers and policymakers to begin their research on policy conver-gence and policy transfer. An amalgamation of 230 publications was taken from the Scopus database between 1985-2021 and subjected to biblio-metric and network analysis. Another objective of this study is to identify crucial clusters evolving from the network by conducting a co-citation analysis of references. The results make the publication trends in the do-main, influential authors, relevant journals and affiliations relevant. This paper recognizes the core research topics and theoretical frameworks in edu-cation and policy convergence. The paper concludes with suggested research prospects and its implications for policymakers to take the research forward in the future.

ABSTRACT. Sustainability is increasingly entering company activities. While the focus is still on ESG (external) reporting standards, in other words, being as compliant as required, we argue that the internal ESG performance management has the potential to achieve business value – beyond pure compliance fulfillment. However, literature reviews concerning a company’s internal ESG performance are underrepresented. Accordingly, we consolidate the current ESG literature threefold in terms of (1) structural and (2) process organization, as well as (3) supporting IS. By applying the Technology-Organization-Environment framework, we provide ten takeaways that cover main themes, research gaps, and avenues of future research.

ABSTRACT. Being a government institution, Courts are also in competition to adjoin the challenges and embrace new tools lacking in ICT implementation, in addition to delivering efficient and effective legal services to the public. Though not as promptly developed as the other e-government programs, ICTs tools are built and executed to make judiciary administration and justice services more effective, accessible, open, and less costly for all stakeholders of the judiciary system. In this regard, employing ICTs signifies a strategic solution to implementing the Justice System’s managerial philosophy and enhancing court performance. Considering these, the paper aims to give an impression of the present literature on ICT in judiciary systems and find the gaps to offer a future research agenda. The authors executed an SLR focusing on ICT implementation for the efficiency of the judiciary process. Relevant articles have been selected from Web of Science, and Scopus, databases. Each paper was analyzed for the aim of the research, the ICT introduced, and the practical implementation of the tools in the judiciary system. Some papers provide all these categories, while some fail to provide this information. Many papers carried out case studies for the implementation of IT tools and their role in the efficiency of the judiciary system, some were descriptive studies. Implementing ICT technologies in the courts has encouraged the improvement of innovative working practices and administrative procedures, lessening the increase in court job load and the sluggishness of judicial systems and creating access to court data more effectively and efficiently.

ABSTRACT. This article illustrates a social innovation perspective of Industry 4.0 by examining the literature around these concepts. Industry 4.0 refers to advanced technology adopted to automate and digitalise operations, and they are at the base of the fourth industrial revolution. We show that Industry 4.0 technologies can be adopted to tackle social issues and improve the well-being of people in society. In particular, this study highlights three Industry 4.0 technology applications as social innovations: the socially sustainable factory, urban manufacturing and fablabs.

ABSTRACT. Using artificial intelligence (AI), prescriptive process moni-toring techniques suggest interventions to improve the efficiency of busi-ness processes and prevent negative case outcomes. These interventions aim to trigger process workers to adapt regular process execution in a specific case. Although this adaptation can aid process performance, pro-cess workers often do not react to them. The reasons for this reluctance are still opaque. Technical approaches in human-computer interaction try to increase the user’s attentiveness to interventions through prompts or seek to provide explanations for predictions by explainable AI (XAI). So far, these approaches have not sufficiently studied the relevance of the users’ organizational context and practices from a socio-technical perspective. This view helps us understand the influences on the willing-ness to react to system-based interventions. We conducted an analysis of research on prescriptive process monitoring and human-centered AI in organizations and explored an empirical case. By deriving twenty es-sential requirements, we designed a framework that represents a socio-technical meta-process of how AI-based recommendations could be or-ganizationally embedded. For example, interventions can be amplified by co-workers, managers, and other stakeholders, explanations can be completed by human contribution, and reflection can be promoted by managers to trigger the evolution of AI. This framework can serve as a basis for further research on coordinating the users’ interactions with prescriptive process monitoring

ABSTRACT. Data collection is a foundational aspect of research, as most research projects ultimately rely on their data. Quick and effective data overview is crucial, especially when working with extensive datasets. This paper seeks to add to the ongoing discourse about designing and developing layered-modular ar-chitectures for data-driven health platforms. We particularly emphasize data representation and address the research question: How can layered-modular architecture be used to present and filter research data in a digital platform? We designed and developed a layered-modular architecture for a digital plat-form aimed at data extraction and representation. We argue that this ap-proach renders digital platforms more reusable, resilient to changes, and easi-ly extendable. To evaluate its effectiveness, we evaluated the layered-modular architecture of the platform with 10 experts and collected data on user experience and usability, along with semi-structured interviews. Furthermore, we examined the system’s scalability with increasing data loads. The paper's key contribution revolves around the layered-modular architecture and design principles tailored for digital platforms, aiming to function effectively in socio-technical environments, particularly within intricate multidisciplinary research projects.

ABSTRACT. This article aims to understand how network SMEs are involved in sustainability transition using information systems to support sustainable network management. The present study analyzed a three-year in-depth longitudinal case study of an Italian business network, orchestrated by the “Brun Gelmino” Company. The leading firm developed sustainability-oriented network information systems with the collaboration of “Feelera”, an intermediary operating in the industry of sustainability-oriented information systems and platforms development. The results provide insights into the implementation of a sustainable shift of a business network by leveraging sustainability-oriented information systems to develop a network sustainability platform. Indeed, a sustainability-oriented information system may be a key driver to increase a business network awareness on sustainability-related issues, to increase the network’s sustainability performance and foster a network’s adaptation in a sustainability transition. However, the implementation of a sustainability-oriented information system may generate also negative dynamics, resulting in a series of tensions between the network leading firm, the network firms, and external stakeholders such as clients or institutions

ABSTRACT. Digital transformation (DT) entails radical and continuous organisational changes, including agricultural sector. Agricultural industries are in a phase of constant evolution in which traditional production techniques are becoming increasingly digitised. Recently, studies on DT and digital technologies in agricultural industries have increased. Studies focus only on the adoption of digital technologies and patterns of adoption. There is a lack of studies exploring the reasons for the non-adoption of digital technologies in agricultural industries. In this study, we present the result of a systematic literature review (SLR) that identifies the leading digital technologies and the barriers to the non-adoption of digital technologies in agricultural industries. The main barriers are technology, organizational and environmental. The article presents implications for research and practice.

ABSTRACT. In our changing world, where cities are growing and environmental issues are becoming more urgent, the focus on transportation solutions has become crucial for urban planners and policymakers. One important element of these solutions is the Green Information System (Green IS), which plays a significant role in promoting smart mobility options and sustainable practices. Although there has been an increase in approaches to Smart Cities, their application to smart mobility within Smart City contexts remains limited. Thus, our study aims to shed light on the importance of Green IS in fostering mobility within Smart Cities, with a focus on Dubai. By embracing the potential of Green IS technology, Smart Cities can optimize their transportation systems, significantly reduce their impact, and enhance the mobility experience for their residents. To thoroughly investigate the effectiveness of smart mobility initiatives based on Green IS, we embarked on a journey by conducting a case study focused on Dubai City. Our findings contribute to advancing knowledge about the integration of mobility solutions using Green IS in Smart cities. Drawing from the lessons learned in Dubai City, we have gathered insights into the effective approaches that require enhancement and strategies for fostering sustainable urban mobility and a more environmentally friendly future.

ABSTRACT. Promoting sustainability and the circular economy in the automotive industry is crucial. In the strategy to transform the automotive market and optimise vehicle design from today to tomorrow, researchers, designers, and administrative personnel jointly work to face the social and economic demands that the new environmental policies require. Even though it determines challenges in the vehicle design that is now a hallmark of the automotive market, the quality of raw materials, fixtures, and component structures must be adequately considered from the perspective of circularity and sustainability. Computer-Aided Design (CAD) software enables precision and optimisation during the upstream and downstream vehicle concept, reducing risks and enabling savings in the interest of all stakeholders. The systematic literature review aims to answer how CAD software contributes to the development of the circular economy in the automotive industry. The benefits of this paper for academia and practitioners are to provide information on the latest features of CAD software for automotive applications and highlight CAD software's impacts on automotive circularity.

ABSTRACT. Since 2019 by emerging Covid-19, one of the sectors harshly impacted was the hospitality section and mainly shaking online platforms as a novelty, namely Airbnb transmitting different perceptions in host and guest communications. Nevertheless, the research aimed at a bibliometric analysis using VOS viewer software and clustered the papers (N=225), representing the characteristics of research papers to assimilate the post-Covid host and guest Airbnb literature review. The study analyzed the paper's citation in journals, the geographical distribution, relevant keywords, and topics, followed by a deep analysis of published papers' abstracts. Finally, the review evidences seven thematic areas to define future research directions. The paper ends the work by demonstrating possible research questions based on each cluster examined.

ABSTRACT. In recent years the metaverse has been the focus of great interest; many startups were born to create and sell digital fashion, and in NFT: The Fabricant, Dematerialised, DRESSX, and the Institute of Digital Fashion [1] [2] are companies whose core business is in the metaverse and, at the same time, have partnerships with fashion houses operating in the physical market to support their entry into the digital market. These developments are changing public and academic discussion and require reconsideration of the central elements of business models. This paper introduces a new perspective on the digital transformation of the fashion industry in the metaverse. It intends to look at the phenomenon following an exploratory approach that aims to understand why fashion companies invest in the metaverse, tracing three areas of investigation to be verified: is the metaverse only a new sales channel, can it be an interaction model or even a stimulus for the digital transformation of fashion industries?

ABSTRACT. This paper examines the impact of UNESCO World Heritage List (WHL) inscription on tourism demand and the presence of professional hosts on the Airbnb platform. The study focuses on European NUTS-3 regions from 2009 to 2019, excluding the pandemic year. The analysis utilizes a panel dataset consisting of various economic and tourism-related variables. The findings reveal that WHL inscription serves as an investment opportunity for professional service providers on Airbnb, leading to a higher number of professional hosts in regions with inscribed sites. This suggests that digital platform providers consider WHL sites when selecting investment locations. The analysis employs a Differ- ence in Difference (DID) methodology. Overall, this paper provides new evidence regarding the strategic considerations of professional service providers, the positive effect of WHL inscription on tourism demand, and the growing presence of Airbnb in regions with inscribed sites.

ABSTRACT. The Covid-19 pandemic has brought significant changes in workplace cultures, leading to an increased focus on building and maintaining a positive organisational culture, particularly in remote or hybrid work contexts. This paper explores the impact of virtual and hybrid teams on organisational culture and provides practical recommendations for leaders to effectively manage remote and hybrid work environments. To achieve this, the paper adopts the five step model proposed by Newman and Ford (2021) and conducts two semi-structured interviews with the Heads of Human Resources from two large, international companies practicing hybrid and virtual work [1]. The study findings reveal the crucial role of leaders in maintaining the organisational culture, establishing trust, and effective communication. It also emphasises team members' need for shared leadership, autonomy, and responsibility. Regular assessments of activities, procedures, and objectives are recommended to evaluate employees' engagement and perception of organisational culture. The paper contributes to the existing literature by offering valuable insights into the perspectives of Human Resources leaders regarding the effective management of remote and hybrid teams and the importance of organisational culture in this process.

ABSTRACT. In the digital age the organizations are facing and exploiting an emerging technologies explosion, that penetrates every aspect of organizational life. The benefits of emerging technologies go well beyond improved efficiency and decision-making, strengthening organizations culture (Ransbotham et.al, 2021). Technology has long been part of sports and recently football also has started to modernize itself. In 2018, Video Assistant Referee (VAR) was launched with the goal of correcting clear and obvious errors and serious missed incidents. The contribution of the document will be to develop a greater awareness of the role of the VAR in supporting sport decisions and activate processes of cultural change. The purpose of this paper is to assess the current state of art implementation of emerging technologies - in the specific the Video Assistant Referees (VAR) and how this technology generates a cultural change. By analyzing the reference literature, an attempt was made to verify how the scholars have addressed the contribution that the Video Assistant Referee technology (known as VAR) can make to supporting sports decisions in football match. Despite the potential benefits of VAR, the implementation of this technology faces with barriers and restrictions, technical limitations, standardization limits, attitudinal constraints-behaviour of individuals, and organizational constraints.

ABSTRACT. To respond to environmental needs and foster resource use and consumption efficiency, the EU has unveiled the Digital Product Passport (DPP). The DPP is a tool that provides useful information, such as the composition of the product, its origin, and how it is to be disposed of. It enables electronically registering product-related information, process and sharing amongst supply chain businesses, consumers and authorities. The DPP has a pivotal role in promoting the circular economy and, by using digital technology, would meet the principle of twin transition. Some works have proposed the application of technology solutions within a digital passport system to foster high levels of information security and transparency with the involvement of various actors. Today, the DPP presents several opportunities: it could be used in waste management, leading to resource and energy efficiency and GHG emissions reduction; the DPP’s reliable information could also improve sustainability disclosure. This paper aims to conceptualise Digital Product Passport within the principal theoretical frameworks that promote sustainability by companies and outline prospects for using the DPP. We conduct a critical analytical review of academic literature and available professional materials to prospect DPP's future use. Through this analysis, the DPP is introduced into the theoretical field of the New Institutional theory and its “Extended” version for a correct conceptualisation and, considering that the DPP facilitates the harmonisation of economic development (efficiency) and environmental protection (legitimacy), we suggest new potential uses and lines of research.

ABSTRACT. The growing demands from civil society to be more effective, efficient and accountable have increasingly made relevant for Public Organizations (POs) the role of Management Control Systems (MCSs) for enhancing the congruence of employees’ behaviors with the organizational objectives. Managers are the main recipients of MCSs, but the only attention to the technical-formal use of these systems may not allow to reach their purposes. Executive employees’ perceptions of MCSs’ managerial use decide to what extent these latter will bring performance improvements. Mostly, fairness perceptions, within the relations with their superiors during MCSs’ managerial use, can be a relevant driver in ensuring employees’ motivation to contribute to the pursuit of organizational objectives. Focusing on executive employees’ perceptions and adopting the theoretical perspective of fairness in the psychology-based approach to MCSs, this paper aims to analyze the role of public employees’ Perception of Interactional Fairness (PIF) and of its two sub-dimensions namely Perception of Interpersonal Fairness (PINFF) and Perception of Interpersonal Fairness (PINTF) in arising employees’ Work Engagement (WE) and Goal Commitment (EGC). To test our model, a survey was conducted among employees of an Italian municipality. Thus, a regression analysis was performed. Results show that: PIF, PINTF and PINFF have a positive effect on WE and EGC; further, WE mediates the link of PIF, PINTF and PINFF with EGC. The study contributes to the psychology-based management control literature analyzing the influence of MCSs on public employees’ attitudinal and behavioral outcomes by taking the perspective of perception.

ABSTRACT. Continuous auditing assumes an increasingly important and proactive role in organizations, being required to continuous managing of risk, predict inci-dents, and analysis of integrated data, however with the massive production of data in real-time, it’s imperative to use technology to allow information to be produced and analyzed in a timely manner. Tools of business intelligence, namely digital dashboards, through the dynamic representation of indicators, may constitute a solution to respond to these challenges. This study aims to understand which indicators are pertinent to include in a dashboard for con-tinuous auditing, and which components are most appropriate to represent them. To achieve these objectives, a dashboard with indicators selected from the existing literature was conceptualized and proposed, and internal auditors were asked to respond to a survey for its validation. This study found that most internal auditors understand that dashboards are important to their functions. As for the indicators, this work allowed us to conclude that the auditors favor those who present the risk to different areas of control, the monitoring of projects/procedures/processes, and the economic and financial ratios.

ABSTRACT. The research presented in this paper is based on interviews with 51 employees from 51 different organizations (including private and public sectors). Employees were interviewed more than once, over a period of six months, each interview lasted between 30 minutes to 1 hour. The discussion in this paper is based on in-terviews during sessions which were explicitly dedicated to IS and Cybersecurity as themes and focus. The majority of the interviewees were professionals who were not IT people [four interviewees had IT-related jobs]. The interviewees were all employees who, according to their own description, handle sensitive data and therefore, should take security considerations into account while doing their job. The research findings put some doubt both on whether or not security is seen as part of Non-IT professionals job responsibility, or even if it is possible for Non-IT professionals to take responsibility in context of their actual work prac-tices.

ABSTRACT. This paper takes up the already introduced concept of Digital Job Crafting, considering the specific impact of Artificial Intelligence and Generative AI on job crafting. This conceptual study provides an in-depth analysis of the literature which has allowed us to evolve one previous theoretical framework on the topic, proposing a new version of the latter, introducing innovative models that consider specific variables of the crafter impacted by AI and Generative AI applications.

ABSTRACT. Working life is becoming increasingly digitalized. Depending on the design of the infrastructures of systems, they can either support or hinder the workers in their daily tasks, and workarounds become an important, integrated part of work. The purpose of this study is to gain increased knowledge about how workarounds are expressed in different professional practices and how they can be conceptualized. We apply a qualitative cross-case study to explore workarounds within the public sector. The contribution is three-fold: i) we provide and argue for four general types of workarounds, which we derive from the empirical data from four cases; ii) we conceptualize workarounds as practices of innovation, evolution, and responsibility in contemporary work, and; iii) a framework for analyzing workarounds as technology-oriented versus task-oriented and individual versus collective dimensions. The framework can help researchers and practitioners identify tensions in organizations and contribute to an increased understanding of the dilemmas, difficulties, and opportunities that an intensification of digitalization of work through digital infrastructures that call for extensive workarounds entails.

ABSTRACT. Following recent technological developments, organizations and businesses seek to improve their effectiveness by increasing the use of artificial agents in the workplace. Previous research suggests that humans react to the adoption of artificial agents in three ways: 1) some humans appreciate algorithmic advice (algorithm appreciation); 2) some humans oppose algorithmic advice (algorithm aversion); and 3) some humans fully relinquish control to artificial agents (automation bias). Using tools and methods form the field of systems thinking, we analyze the existing literature on human-machine interactions in organizational settings and develop a conceptual model that provides an underlying structural explanation for the emergence of algorithm appreciation, algorithm aversion, and automation bias in various contexts. In doing so, we create a powerful visual tool that can be used to ground discussions about the responsible adoption of artificial agents in the workplace and the long-term impact they cause for organizations and humans within them.

ABSTRACT. Businesses have increasingly adopted responsible sustainable practices, technologies, and business models. Sustainability has gained prominence, prompting organizations to measure and monitor their impact on various SDGs. This has led to the mainstream practice of sustainability reporting, which includes HRM practices and their impact on employees. The Global Reporting Initiative (GRI) is widely adopted as the most comprehensive reporting guideline available. People Analytics (PA) could assist organizations in making employee data for GRI reporting more accessible, interpretable, and actionable. However, the role of PA in sustainability reporting and its potential contribution to the United Nation's Sustainable Development Goals have not been adequately discussed. This study aims to investigate whether and how the use of PA in organizations can contribute to successful sustainability reporting and the achievement of different SDGs. We draw on Signaling Theory to examine the flow of PA information across HRM processes and its potential contribution to specific SDGs. This study represents the first phase of a larger research project. Our findings indicate that few signals on HRM practices are currently incorporated into GRI, primarily focusing on SDGs 3 (Good health and well-being), 4 (Quality education), 5 (Gender equality), and 8 (Decent work). Relying solely on GRI indicators makes it difficult to determine whether organizations truly adhere to PA principles in their sustainability reporting regarding HRM. This research could provide recommendations for HR professionals, sustainability experts, and employees regarding the application of PA for sustainability reporting on HRM practices. The findings also lay the groundwork for future empirical research.

ABSTRACT. Natural language processing tools are becoming more and more important in our daily life, enabling us to perform many tasks in a timely and efficient manner. However, as the utilisation of these tools growth, so does the risk of unexpected consequences due to the presence of bias. This study investi-gates the presence of gender bias within the most popular neural machine translation and large language model tools. We defined a set of Italian sen-tences concerning ten specific jobs, where the gender of the subjects is not explicitly mentioned. Employing those AI tools, we translated the sentenc-es from Italian to English, requiring the gender to be explicitly mentioned. Afterwards, we developed a survey to obtain human translations for the same sentences, allowing us to compare the differences between the re-sponses generated by the tools and those from individuals. Results show a high presence of gender bias especially for the jobs associated with a male gender and demonstrate a consistency between the outcome obtained by the tools and the results of the survey. These findings serve as a starting point for exploring the origins of gender bias within natural language processing tools and how they reflect gender distributions in our society and human behaviour regarding job occupations.