ISJ Special Issues

ISJ has a number of Special Issues, typically around one per year. Special Issues are proposed and edited by Guest Editors appointed by the Editor-in-Chief. They focus on one topic or theme and have a number of papers devoted to various aspects of that topic. The Guest Editors usually provide an extended editorial putting the topic and the papers in context. Special Issues have proved to be very successful and popular with ISJ readers and have been highly cited.

See 'Special Issues' in the top menu above for more details about Special Issues.

Editor-in-Chief
Robert Davison, e-mail: isrobert@cityu.edu.hk

ISJ Editorial Office - Jack Patterson
e-mail: isjadmin@wiley.com

Welcome to the Editor's Website for the ISJ

The purpose of this site is to provide information from the Editors to our readers, authors, potential authors, deans, etc. about the Information Systems Journal (ISJ) over and above that provided on the publishers website which also contains ISJ Table of Contents, access to sample papers and full-text access.

Please follow the links of the above menu which provide detailed information and answers to most questions. We hope you find this website useful. Please contact us with any comments you have.

Editor-in-Chief: Robert Davison

ISJ Indicators
This page just provides a brief overview of some key quality indicators for the ISJ. Please see the details in the various menus above, in particular here.

- ISJ is the premier, predominantly qualitative, information systems journal
- ISJ is in the AIS basket of eight top information systems journals
- ISJ has an impact factor of 4.188 (2019 - latest)
- ISJ is 'the' truly international information systems journal
- ISJ was ranked 1st for author experience
- ISJ will respond within 2 weeks indicating if your paper is out of scope or unsuitable


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ISJ impact factor 2022

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.

 

ISJ impact factor 2022

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.

 

Exploring Alternative (Non?Economic) Forms of Value Engendered by Digital Platforms

Information Systems Journal, EarlyView. Source

A Protracted War Against Counterfeits: Navigating Tension Management Under External Pressures on an E?Commerce Platform

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.

Source

Navigating Tensions Between Indigeneity and Social Media Participation: A Case Study of the Guarani Community in South America

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.

Source

Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance

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.

Source

Transforming to a Sustainable Visitor Economy With Information Systems

Information Systems Journal, EarlyView. Source

‘Invented?on?the?fly’ mobile application for disaster response: Construction of technological frames and impact

Abstract

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.

Source

Technology affordances, actualisation and adaptation for heritage preservation: A case study of Beijing’s Palace Museum

Abstract

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.

Source

Unpacking reflexivity, psychological empowerment, and agile project dynamics among information systems professionals

Abstract

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.

Source

Reviews, recommendations and decisions: Contrasting perspectives

Information Systems Journal, EarlyView. Source

Orchestration logics for artificial intelligence platforms: From raw data to industry?specific applications

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.

Source