Journal of Strategic Information Systems最新文献

Information systems (IS) strategizing is particularly challenging for established organizations because of their historical conditions. The question of how established organizations can effectively manage their historical conditions in IS strategizing remains under-explored. To address this question, we conducted a case study tracing the history (1960–2020) of an established organization in the building and construction industry. Through the analysis, we found four systems: accounting management system, business communication system, knowledge management system, and community collaboration system, as the historical conditions that formed an IS imprint, which was later managed and reproduced during IS strategizing. Using the imprinting lens, we developed an understanding of: (1) the formation of the IS imprint at the organizational foundation; and (2) the reproduction of the IS imprint, considering imprint-as-resource and imprint-as-constraint during IS strategizing. We contribute to the literature by providing an understanding of how historical conditions inform IS strategizing in the long term and by applying the imprinting lens to uncover the process through which an IS imprint is strategically managed and reproduced beyond the founding phase. The insights developed from this study are transferable to similar organizational contexts for managing historical conditions in IS strategizing.

AI-based technologies have changed the nature of the symbiosis between humans and AI, and so strategic management of human-AI interaction in organizations requires deeper ethical considerations. Aligning AI with human values requires a systematic understanding of the ethical management of human-AI interaction. We conduct a theoretical review, from a sociotechnical perspective, and analyze ethical management of human-AI interaction through the lens of sociomateriality. Our systematic approach helps explain and clarify the interdependencies between two ethical perspectives – duty and virtue ethics – in sociotechnical systems. We also provide a theoretical framework that leads to seven avenues for future research.

There is a promising body of work pertaining to the strategic value of IT-enabled self-organised collectives in times of crisis. This area is of significant theoretical and practical importance. Yet, we still have little systematic knowledge about precisely how self-organised collectives contribute during crises and how the value of their contributions might be leveraged strategically. To address this, we develop a model to demonstrate four dimensions across which self-organised collectives create strategic value: (i) information sharing value; (ii) collective resource-mobilisation value; (iii) network value; and (iv) generative value. In doing so, we reveal more about the specific capabilities of self-organised collectives, and we use these insights to develop implications for theory. We conclude by outlining an agenda to encourage and accelerate future research on the role of IT-enabled self-organised collectives during crises.

This review discusses the challenges associated with the sustainability of remote workplaces, which have become more prevalent due to the growing trend of work digitalization and the pandemic-induced push to remote work. These challenges are highlighted in literature across various disciplines, including information systems, but these discourses have remained isolated from each other. In this review, we consolidated and synthesized research on remote work from the perspective of individual workers by reviewing 187 articles published between 1999 and 2020 in recognized academic journals from fields including information systems, organizational studies, economics, human resources, sociology, and psychology. We identified five key themes that concern opportunities and challenges to sustainable remote workplaces: (1) key characteristics, (2) work-life boundaries; (3) health and well-being; (4) social interaction, and (5) leadership. Building on our findings we created a framework that recognizes two interrelated categories of factors influencing remote workplace sustainability – rigid base characteristics and contextual remote workplace variables – that together shape the trajectory of remote workplace sustainability in the long term. The framework also identifies the potential role of information systems in modulating the impact of the base characteristics to build continuities that encourage more sustainable remote workplaces. The paper concludes by offering a research agenda for information systems for sustainable remote workplaces based on the three IS theoretical frames: inclusion, dignity, and boundary objects.

Platforms have gained significant attention in the field of information systems (IS) research. However, the concept of platforms remains fluid and complex due to the diverse phenomena associated with it. Research to date tends to cluster around two predominant perspectives: the economic network perspective and the architectural design perspective. To reconcile the divergent perspectives of platforms and establish a more cohesive foundation for IS theorizing, we undertake an interpretive literature review through the lens of service-dominant (S-D) logic. Drawing on an extensive analysis of the literature, we develop an S-D Platform Framework that provides a deep understanding of the multifaceted nature of platforms as a vital IS capability for value co-creation. This framework sheds light on the fundamental facets of relationality, ambidexterity, and cooperativity, which explain the deep structure of platforms in the realm of IS research. Building on our proposed framework, we put forth an agenda that aims to guide future studies towards a more theoretically compelling trajectory.

Machine learning (ML) analyses offer great potential to craft profound advice for augmenting managerial decision-making. Yet, even the most promising ML advice cannot improve decision-making if it is not utilized by decision makers. We therefore investigate how ML analyses influence decision makers’ utilization of advice and resulting decision-making performance. By analyzing data from 239 ML-supported decisions in real-world organizational scenarios, we demonstrate that decision makers’ utilization of ML advice depends on the information quality and transparency of ML advice as well as decision makers’ trust in data scientists’ competence. Furthermore, we find that decision makers’ utilization of ML advice can lead to improved decision-making performance, which is, however, moderated by the decision makers’ management level. The study’s results can help organizations leverage ML advice to improve decision-making and promote the mutual consideration of technical and social aspects behind ML advice in research and practice as a basic requirement.

Person-to-person (P2P) followership is an important aspect of major open source software (OSS) development platforms. In this age of social media platforms, P2P followership has significantly shaped the way users engage in OSS development by facilitating the establishment of connections among OSS users. Despite the prevalence of P2P followership, less is known about the impact of OSS project initiators’ P2P followership nodes on their project popularity. This is a particularly important gap considering the low rate of OSS project success. We posit that OSS project initiators derive information and influence benefits from the quantity and connectivity of their P2P followership nodes, explaining the popularity of the projects initiated. We determine the connectivity of OSS project initiators’ P2P followership nodes based on the nodes’ reach and importance. To test the hypotheses, we use a large panel dataset collected over 24 months from GitHub. The findings indicate that the quantity of OSS project initiators’ P2P followership nodes including followers and followees has a positive effect on their project popularity. Moreover, such an effect is mostly dependent on the connectivity of the OSS project initiators’ P2P followership nodes in such a way that highly connected P2P followership nodes do not impact influence benefits but they increase information benefits. We discuss the theoretical and practical implications of our findings.

This viewpoint article aims to lay out the foundations for IS research on the strategic implications as well as diversity, equity, and inclusion (DEI) opportunities and challenges of the metaverse – a sociotechnical system providing users with an immersive, synchronous 3D experience of (virtual) reality through interoperable platforms and sensor devices. We first examine the metaverse’s technologies and its underlying business models, which hold immense strategic implications for organizations and industries, and might require rethinking the future of work. As with most emerging technologies able to generate, collect, and process user data, the metaverse comes at a price; leveraging the metaverse strategically will require ethical and DEI considerations. After examining all these aspects of the metaverse, we reflect on ways IS scholarship engaged in strategizing can advance theoretical and practical knowledge by generating novel research questions and outlining a research agenda. Our contribution is twofold: first, we analyze the metaverse using a sociotechnical lens, thereby setting the ground for future studies of the phenomenon. Second, we identify specific strategic implications as well as DEI opportunities and challenges associated with the metaverse, and discuss how scholarship versed in IS strategizing can contribute to addressing them, both theoretically and empirically.