The 2021 impact factor for ISJ was 7.767, for 2022 it was 6.4. These are some of the highest impact factors of any IS Journals. See past ISJ impact factors and the Editor’s comment on impact factors here. The next impact factor (2023) will not be available until around mid June 2024.

Information Systems Journal, EarlyView. Source

ABSTRACT

This study examines how external pressures drive a platform leader to fight counterfeiting over time. Acknowledging the tension between the illegality and legitimacy of counterfeiting, we find that the fighting effort involves an enduring balance between the two poles of the tension until counterfeits have been sharply reduced. We demonstrate how the management of the tension entails an interactive process in which a platform leader decouples counterfeit fighting actions to pursue legitimacy. We suggest that pressures from external forces predict a process of decoupling and legitimation through which the platform leader promotes ecosystem acceptance and builds a shared understanding of ecosystem purposes, and the endeavours to balance platform quality and activity prompt the platform leader to pursue legitimation which demonstrates the viability of an ecosystem. We show that these processes are accompanied by activating and stabilising the tension, which predicts varied strength and scope of measures and the reduction of counterfeits over time.

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ABSTRACT

This study investigates inherent tensions between social media participation and the ways of life in an Indigenous community and subsequent navigation approaches. Relying on an in-depth qualitative study and the notion of two-eyed seeing as a theoretical approach, the study focuses on the complex relationship between social media platform participation and the ways of life in a ‘Guarani’ Indigenous community in South America. This community successfully navigates tensions between participation on social media platforms and preserving their traditional ways of life. We contribute to two streams of literature. First, we contribute to the literature on digital platforms and indigeneity showing that social media use by Indigenous communities leads to specific tensions, as these communities try to balance the use of social media with their desire to preserve their ways of life and protect the natural environment and how they navigate these tensions. Second, we contribute to the literature in relation to digital platforms and non-economic value as we unpack social and environmental value in the context of the Indigenous community and show that non-economic value benefits multiple entities. Overall, we contribute to a deeper understanding of how Indigenous communities navigate tensions between participation on social media and their traditional way of life. Our study also offers practical insights into how policy makers and designers of social media platforms can better meet Indigenous communities’ needs.

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ABSTRACT

Algorithms used in data analytics (DA) tools, particularly in high-stakes contexts such as hiring and promotion, may yield unfair recommendations that deviate from merit-based standards and adversely affect individuals. While significant research from fields such as machine learning and human–computer interaction (HCI) has advanced our understanding of algorithmic fairness, less is known about how managers in organisational contexts perceive and respond to unfair algorithmic recommendations, particularly in terms of individual-level distributive fairness. This study focuses on job promotions to uncover how algorithmic unfairness impacts managers’ perceived fairness and their subsequent acceptance of DA recommendations. Through an experimental study, we find that (1) algorithmic unfairness (against women) in promotion recommendations reduces managers’ perceived distributive fairness, influencing their acceptance of these recommendations; (2) managers’ trust in DA competency moderates the relationship between perceived fairness and DA recommendation acceptance; and (3) managers’ moral identity moderates the impact of algorithmic unfairness on perceived fairness. These insights contribute to the existing literature by elucidating how perceived distributive fairness plays a critical role in managers’ acceptance of unfair algorithmic outputs in job promotion contexts, highlighting the importance of trust and moral identity in these processes.

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Information Systems Journal, EarlyView. Source

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The natural disaster response efforts are time-constrained, requiring quick and on-the-fly development and the adoption of technological innovations to meet the ever-changing contextual requirements. However, there are limited available insights on implementing and managing those ‘invented-on-the-fly’ innovations. This study draws upon sensemaking and technological frames to examine the adoption process of an on-the-fly developed mobile app in the context of the Gaja cyclone in India. Our findings inform that the adoption of technological innovation in disaster response is linked to its ‘features’ that actors draw upon in their sensemaking process and forming their technological frames. Initial sensemaking and technological framing may involve ‘concrete features’. However, the later sensemaking of evolving contingencies may include discovering various ‘abstract features’ in action. Discoveries of abstract features in action trigger reframing, leading to a congruent technological frame and better exploitation of innovations. Given that natural disasters are occurring more frequently, findings from our study provide critical insights into managing technology innovations in these contexts. The revelation of the role of features in technological (re)framing also enriches the analytical power of the technological frame lens.

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Museums are vital cultural and educational institutions that play a key role in heritage preservation. Despite the importance of museums, the interaction between these conventional institutions and advanced technologies remains relatively underexplored in information systems (IS) research. Adopting affordance-actualisation (A–A) theory as the theoretical lens, we conducted an in-depth case study of the Palace Museum in Beijing, China, to investigate its implementation of evolving IS for heritage preservation. We identify three key affordances of these systems and develop a conceptual model illustrating the process of actualising these affordances. Our model extends A–A theory by adding an adaptation phase, wherein the museum responds to the outcomes of the actualisation process by amplifying the achieved outcomes and altering the unintended ones. Additionally, we uncover a hierarchical structure among these affordances, revealing a progressive pattern of actualisation specific to heritage preservation in museums. This research contributes to the literature on A–A theory, heritage preservation in museums, and IS implementation. Furthermore, it provides guidance for practitioners, particularly those in museum contexts, in effectively implementing IS for heritage preservation.

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In this study, we examine the reflexivity modes of information systems (IS) professionals and integrate the IS context—including structural, technological, and social properties—with IS professionals’ biographical, inner dialogues to theorise about the role of reflexivity modes in their experiences of psychological empowerment. Through the lens of Archer’s (2007) three-stage model of reflexivity and different modes of reflexivity (communicative, autonomous, meta, and fractured), we investigate the experiences of psychological empowerment and project dynamics among IS professionals in IS development work by zooming in on 6?years of three IS professionals’ work lives. Our findings make several contributions to theory and practice. First, we elucidate the interplay between reflexivity and psychological empowerment. Second, we show how different IS professionals’ approach similar structural, technological, or social circumstances differently (such as agile work practices), depending on their reflexive inner dialogues. This includes showing how different reflexivity modes, focused on various properties of the IS context (structural, technological, and social), becomes entangled with interpersonal dynamics and IS project dynamics.

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Information Systems Journal, EarlyView. Source

Abstract

Artificial intelligence (AI) platforms face distinct orchestration challenges in industry-specific settings, such as the need for specialised resources, data-sharing concerns, heterogeneous users and context-sensitive applications. This study investigates how these platforms can effectively orchestrate autonomous actors in developing and consuming AI applications despite these challenges. Through an analysis of five AI platforms for medical imaging, we identify four orchestration logics: platform resourcing, data-centric collaboration, distributed refinement and application brokering. These logics illustrate how platform owners can verticalize the AI development process by orchestrating actors who co-create, share and refine data and AI models, ultimately producing industry-specific applications capable of generalisation. Our findings extend research on platform orchestration logics and change our perspective from boundary resources to a process of boundary processing. These insights provide a theoretical foundation and practical strategies to build effective industry-specific AI platforms.

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