Authors:Siqi Gao et al. Abstract: Digital games have emerged as a major form of hedonic information systems, attracting attention in the Information Systems field. However, it remains unclear whether existing theoretical knowledge can explain recent industry developments. To address this, we conducted a critical review of the literature on digital gaming experiences within the IS domain. Our review involved defining the concept of gaming experience and establishing boundary conditions to guide the review. A hermeneutic approach was applied to include 277 articles from 51 journals in the review. Our synthesis of the literature identified three aggregate research themes (internal dynamics of game players, game systems, and contextual experience) from existing gaming experience literature. Our critical analysis reveals the need for more focus on a process-based understanding of gaming experiences to better capture the dynamic and processual nature of digital gaming, as existing studies mostly draw on a variance-based perspective. We present a framework that illustrates a process-based understanding of gaming experience. This framework informs a research agenda that suggests adopting a process perspective in future studies could better address challenges in gaming experience research, particularly those involving game updates, monetization changes, and playing across different situational contexts. PubDate: Wed, 06 Nov 2024 05:43:32 PST
Authors:Sara Moussawi et al. Abstract: Service-learning presents a unique opportunity to integrate real world experience into information systems (IS) curricula. Problem scoping is the process by which project members define the problem that they need to solve. It is typically not included in IS service-learning courses. We posit that with increasingly complex and ill-defined problems that face IS graduates, acquiring problem scoping skills is essential to help students work with emerging problems in today’s workplace. We ask the question: in what ways can students learn problem scoping skills in service-learning IS courses' This paper presents findings from a research-driven pedagogy study consisting of pre- and post- scenarios that students considered at the beginning and end of the semester in a service-learning undergraduate IS course. Through a qualitative analysis of students’ responses about the first two steps that they would take in working on the hypothetical projects, we identify thirteen categories and three themes. The emerging themes provide evidence of students' increased focus on problem scoping and context, on the relationship with the client, and on moving away from immediately delving into technical problem solving. Our findings provide significant contributions to the IS literature on service-learning as well as transferable course design principles. PubDate: Wed, 06 Nov 2024 05:43:30 PST
Authors:Arman Ghafoori et al. Abstract: The use of immersive technologies such as augmented reality (AR) on social media platforms has drastically increased in the past few years. As AR technologies focus on providing individual experiences, it becomes critical to understand how individual differences affect AR immersive experience. In this study, we draw on the Big-Five model to examine the impact of personality traits on AR immersive experiences. Through a survey involving 331 participants from Amazon MTurk, we explore the varied effects of personality traits on AR immersive experiences. To ensure the robustness of the results, we utilized both variance-based SEM and co-variance-based SEM. Results show that agreeableness and openness positively affect the AR immersive experience, while conscientiousness partially influences the AR immersive experience. Theoretically, our findings elucidate the influence of personality traits on AR immersion. In addition, our study offers important practical implications for social media and brand managers. These implications provide important design considerations that can enhance user experiences in AR environments. PubDate: Thu, 31 Oct 2024 05:43:27 PDT
Authors:JIgnya Patel et al. Abstract: As technologies pervade workplaces, job designers look for an integrative framework that considers IT's enabling and constraining impact on worker well-being across diverse job contexts. Using context theorizing guidelines, this paper proposes an integrated Framework of IT Job Infusion that can be used to examine worker outcomes for various IT-infused jobs. The framework holds that (1) IT possesses properties that manifest as resources or demands, and (2) these resourceful and demanding manifestations of IT affect a worker’s perceptions of the task, physical, social, and organizational job contexts and job outcomes. The framework is then applied to the truck driving context experiencing IT infusion. The results of data gathered from 154 truck drivers validate our proposed framework. We conclude with the theoretical and practical implications of the framework. PubDate: Wed, 30 Oct 2024 06:54:11 PDT
Authors:David Henkin et al. Abstract: The article explores the transformative potential of artificial intelligence (AI) in the indirect tax domain in response to Stephen J. Andriole’s article “The Big Miss: AI Will Replace Just About Everything and its view that AI will lead to widespread job displacement. We argue that AI will not broadly eliminate jobs in indirect tax but rather empower tax professionals by automating repetitive tasks, enhancing data analysis and facilitating compliance. AI-powered tools will enable tax professionals to focus on higher-value activities, such as strategic planning, risk management and client communication. The future of AI in indirect tax is promising, with advancements in machine learning and generative AI expected to enhance its capabilities further. Organizations that embrace AI and invest in reskilling their workforce will be well-positioned to transform and thrive in the indirect tax domain. AI will enhance, not eliminate, jobs in indirect tax. PubDate: Wed, 30 Oct 2024 06:54:10 PDT
Authors:Noel Carroll et al. Abstract: This article explores the complex implications of artificial intelligence (AI) in societal and commercial contexts, challenging both utopian and dystopian perspectives. It highlights two key areas: AI’s impact on the meaning of labor and human-machine interaction. We argue that AI will not only displace jobs but also enhance employment by augmenting human capabilities. While fears of automation are rooted in current socio-economic structures, AI has the potential to shift discourse towards a more optimistic view, emphasizing human augmentation. The article advocates for a balanced approach to harness AI’s potential while mitigating alarmism. We also call for further research into AI's future trajectory aiming to harness its benefits while addressing associated risks and concerns. PubDate: Wed, 30 Oct 2024 06:54:10 PDT
Authors:Arto Lanamäki et al. Abstract: job displacement in the Artificial Intelligence (AI) era echoes long-standing concerns about machines replacing human work. This paper critically examines dominant narratives around AI and its impact on jobs, challenging technology-deterministic predictions of widespread job loss. We introduce two key concepts: the 'reinstatement effect,' which suggests AI can create new jobs by generating demand for new activities, and 'human-technology augmentation,' which emphasizes AI’s potential to enhance human capabilities. Together, these perspectives provide a comprehensive view of AI’s influence on jobs. At the core of our argument is the focus on social good and the importance of regulation in shaping AI’s future impact on jobs. PubDate: Wed, 30 Oct 2024 06:54:09 PDT
Authors:Stephanie Totty et al. Abstract: Online self-disclosure (OSD) allows people to build and maintain relationships with others, which has become increasingly important as more work has become remote in recent years. Previous research has investigated OSD as a higher order factor. We propose that the OSD dimensions—amount, depth, honesty, intention, and valence—may be differently impacted by its antecedents. Specifically, we investigate the relationship between two theorized antecedents of OSD—self-presentation and work–home conflict—and the dimensions of OSD. Additionally, we posit that organizational culture factors may affect these relationships. Specifically, we investigate the impacts of segmentation culture and work location flexibility on the relationships between self-presentation and the OSD dimensions. We collected data from 309 active social networking service users. We found that 1) self-presentation positively impacts each of the OSD dimensions, 2) work–home conflict positively impacts OSD amount, and 3) both segmentation culture and work location flexibility moderate the relationship between self-presentation and OSD amount. Implications for theory and practice and future research directions are discussed. PubDate: Mon, 28 Oct 2024 06:12:42 PDT
Authors:Prakash Dhavamani et al. Abstract: The development of a Fintech ecosystem offers significant socio-economic benefits, such as promoting financial inclusion, reducing transaction costs, improving efficiency, and increasing entrepreneurial activities. However, research on the initial establishment of Fintech ecosystems, especially in resource-constrained settings, is limited. This study, set in Visakhapatnam, India, examines the processes involved in establishing a frugal Fintech ecosystem. Our research extends the resource orchestration framework for frugal Fintech ecosystem development by introducing five unique sub-processes: bricolaging, prioritizing, emulating, extrapolating, and sandboxing. These sub-processes provide a comprehensive understanding of how resources can be managed and utilized effectively. For practitioners, our study offers an empirically based guide to the initial establishment of a Fintech ecosystem. Policymakers can use our framework to design and implement regulatory models tailored to their specific environmental uncertainties, fostering growth and sustainability in Fintech ecosystems. PubDate: Tue, 22 Oct 2024 06:16:37 PDT
Authors:Benjamin Richardson et al. Abstract: The Chief Information Officer (CIO) plays a pivotal role in shaping the technological strategy and overall success of modern corporations, working in close collaboration with other C-suite executives such as the CEO and CFO. This study offers an analysis of the defining characteristics of Fortune 500 CIOs and compares them to their executive peers. Using an inductive methodology, we examine the career trajectories of 2,821 Fortune 500 executives, including 400 CIOS, through LinkedIn data and leverage interviews with six Fortune 500 CIOs to contextualize the findings. The results highlight several distinct patterns: aspiring CIOs tend to be more racially diverse, work across a greater number of companies, hold more positions over their careers, and take longer to reach executive roles compared to other C-suite members. Through predictive modeling, we identify that CIOs can reduce the time it takes to reach top CIO positions by seeking out internal promotion opportunities at those same companies. This paper concludes with actionable recommendations for aspiring CIOs and outlines how these insights inform both practice and future research on IT leadership. PubDate: Wed, 09 Oct 2024 07:29:08 PDT
Authors:Ashneet Kaur et al. Abstract: The rapid integration of Artificial Intelligence (AI) across diverse sectors, particularly in the workplace, has yielded efficiency gains and enhanced decision-making capabilities. However, the pervasive adoption of AI has raised significant concerns regarding the privacy of employees. This systematic literature review seeks to comprehensively explore the implications of AI on employee privacy. The study addresses three key dimensions: (1) evaluating the extent to which AI technologies compromise or safeguard employee privacy; (2) elucidating the costs and benefits of AI adoption in organizations to strike a balance with employee privacy considerations; and (3) discussing the varying impact of advancing AI algorithms in the workplace on employee privacy. Drawing upon the privacy calculus framework, the paper underscores the trade-offs organizations make in managing employees' privacy in the context of AI integration. The discussion is grounded in an analysis of advancing AI algorithms and their dynamic influence on the delicate balance between organizational efficiency and the protection of employee privacy. By addressing the complexities inherent in this intersection, the research serves as a valuable resource for guiding further inquiry into the evolving relationship between advancing AI technologies and preserving employee privacy. PubDate: Thu, 26 Sep 2024 10:21:28 PDT
Authors:Dhruven R. Zala et al. Abstract: In this study, we examine how project owner’s colocation with a crisis influences the chances of their project securing requisite funding. Our study draws upon and extends several streams of work, particularly the importance of owners’ location and the role of crisis in online prosocial behavior, namely online donations. Further, we project and empirically test an important theoretical tension. On one hand, altruism effect predicts that beneficiaries colocated with a crisis will likely attract more donations. On the other hand, the bystander effect indicates that donors may perceive lower importance of their contribution as the responsibility of aiding the affected gets distributed. Thus, the effect of crisis colocation on the beneficiary’s project is equivocal, requiring empirical assessment. We address this tension empirically using the occurrence of a hurricane as the external crisis coupled with coarsened exact matching. Drawing on a donation platform dataset that facilitates schools in the US to seek funds, we find empirical support for the bystander effect. Additionally, we find that the baseline effect is contingent on the racial makeup of the beneficiary’s location and the extent to which a crisis occurs abruptly. Our study has implications for the theory and practice of managing online prosocial behavior. PubDate: Mon, 23 Sep 2024 07:38:31 PDT
Authors:Stephen Jackson et al. Abstract: Artificial Intelligence (AI)-based digital assistants are increasingly being adopted by organizations to support tasks. Nevertheless, our understanding of how organizational members perceive digital assistants still needs further investigation. Drawing on figurative language analysis involving in-depth interviews, we explore the idiomatic expressions that organizational participants drew on in their accounts of digital assistants. Our analysis reveals the value of idioms for understanding themes regarding how digital assistants are perceived in a workplace context. These themes depict both the opportunities and challenges, with the former encompassing the ability to focus on value-added activities, productivity, and efficiency gains, as well as reducing job monotony, and the latter including themes such as uncontrollability and unexpectedness, tracking and privacy, transparency, and trust. The study illustrates the usefulness of idiomatic expressions as a fresh lens to understand how people express their thoughts, views, and feelings, as well as uncover issues associated with digital assistants that are not well understood. PubDate: Thu, 19 Sep 2024 07:47:33 PDT
Authors:Michael A. Erskine et al. Abstract: Location analytics can inform decision-making and long-term strategies in various sectors and industries such as retail, manufacturing, government, defense, transportation, logistics, energy, and utilities for customer experience management, sales, marketing, supply chain optimization, business continuity and resilience, remote monitoring of critical assets, and risk management. Despite organizations gaining a competitive edge through location analytics, its adoption within the academic Information Systems (IS) discipline remains sparse. The absence of spatial methodologies in analytical and behavioral IS research is striking. Furthermore, this lack of integration is evident as spatial problem-solving is scarcely covered in IS curricula, and location data analysis is often relegated as a peripheral skill. Our panel paper delineates the many opportunities location analytics presents for broadening research horizons and enriching IS education. We suggest incorporating location analytics into research by demonstrating how spatial methodologies can bolster IS research rigor. We also explain how integrating location analytics into the IS curricula can prepare students for this growing area of analytics. Foremost, we aim to catalyze a paradigm shift towards more spatially informed IS research and education. PubDate: Thu, 19 Sep 2024 07:47:32 PDT
Authors:Tim Kilgus et al. Abstract: The secondary use of health data is associated with enormous opportunities to improve healthcare efficiency and the creation of novel data-driven value propositions. Information Systems research has recognized this potential and focuses on that topic from various perspectives, such as data-driven value creation through health analytics or data platform ecosystems to facilitate data sharing. However, with emerging regulatory initiatives, such as the European Health Data Space, rules for the secondary use are changing, with implications for researchers, innovators, and healthcare organizations. The outcomes of data value creation efforts are mainly dependent on available data, with the assurance of high data quality remaining a challenge. To discuss how value can be created from the secondary use of health data, what challenges may arise, and how they can be addressed, a workshop on this topic was organized in November 2023, in which 19 academic researchers and 18 practitioners from 27 organizations participated. This workshop report highlights challenges of and potential solutions for the secondary use of health data. While current Information Systems research often focuses on utilizing Electronic Health Records, the field could be enriched by understanding the secondary use of health data on an individual, organizational, and societal level. PubDate: Wed, 18 Sep 2024 06:09:26 PDT
Authors:Harshit Maurya et al. Abstract: The rapid advancement in generative artificial intelligence (Gen AI) technologies promises a transformative shift in the roles, skills, and task responsibilities of knowledge workers across organizations. With the increasing integration of Gen AI agents such as ChatGPT into professional settings, it is essential for students to learn how they can collaborate effectively with these agents. This teaching case is designed to immerse students in the role of a product manager to address a real-world challenge in collaboration with a Gen AI agent. Specifically, students will be required to formulate customer problems, ideate solutions, and design online experiments to test their identified problem-solution set. By having this practical experience of jointly executing varied tasks, students will gain insights into the rising importance of critical thinking skills and prompt engineering skills for harnessing the unprecedented potential of Gen AI in the workplace. Further, this experience will help students to understand the evolving roles and task responsibilities of knowledge workers in the era of Gen AI. Alternatively, this case can also be used to teach the concept of problem reframing exclusively. This case is suitable for teaching undergraduate and graduate students pursuing studies in information systems. The use of this case assumes that students have a basic understanding of digital product management. PubDate: Tue, 17 Sep 2024 06:21:59 PDT
Authors:Evgeny Exter et al. Abstract: Commercial real estate transaction processes are inherently complex, multi-faceted, and multifariousness due to multiple intermediaries, high volume of signed documentation, high costs and the illiquid nature of these transactions. An emerging area in blockchain technology is smart contracts which hold much potential to transform the commercial real estate industry through the digitalization of decentralized business models and ensure transaction transparency and validity. Despite the potential benefits of smart contracts, its use in the commercial real estate industry is at a nascent stage. In response to this gap, this study proposes a novel approach using Ethereum blockchain technology to enable intermediaries to transact in an informationally symmetrical way within an open real estate in Switzerland. The proposed conceptual model employs tokenisation on the blockchain and is developed using the action design science research methodology. The model undergoes several stages of evolution from pre-design, which is validated through expert interviews, to arrive at the final conceptual design. The study identifies key factors that influence the application of blockchain in real estate transactions, namely adoption, governance and compliance, transaction costs, transparency and immutability, security, and scalability. The results indicate that smart contracts have potential to significantly reduce transaction costs and improve efficiency in the commercial real estate industry. PubDate: Wed, 11 Sep 2024 11:59:50 PDT
Authors:Eden Samuel Parthiban et al. Abstract: AI-based Conversational Agents play a pivotal role in reshaping industries through automation and information exchange. Despite their prominence, gaps persist in tailoring CAs for optimal integration into businesses and society. Our study addresses this gap, focusing on CAs in banking, a crucial sector at the forefront of technological adoption. Through a mixed-method approach, combining scientometric techniques, Partial Least Squares Structural Equation Modeling, Necessary Condition Analysis, and Importance-Performance Mapping Analysis, we aim to understand the fit between banking CAs and consumer needs, by classifying, investigating and isolating the necessary and important influencing elements contributing to the fit. The findings suggest that although three distinct factors relating to the individual (user), organization (banks) and system (CAs) play a role in the aforesaid integration, only organizational and systemic factors are crucial. Accordingly, our research contributes to information systems understanding and offers practical insights for stakeholders navigating the intricate dynamics of human-computer interaction. PubDate: Tue, 03 Sep 2024 09:40:16 PDT
Open Access journal
[7 journals]
