Without an integrated model of how the human brain works and processes information, artificial intelligence (AI) will remain a mysterious black box that can misfire as circumstances change. An integrated study of the three cognitive computing components (AI, cognitive psychology, and neurobiology) is necessary to create explainable AI findings. This paper introduces cognitive computing systems (CCS)

Immersive platforms, accessed via VR and AR interfaces, offer a profound digital experience but raise significant privacy and ethical concerns. Current systems collect extensive user data; this enables manipulative advertising and behavior control, fosters self-censorship, and diminishes authentic self-expression – especially among marginalized communities. The unchecked development of immersive platforms

In this theoretical review, we analyse the IS literature on the rapidly evolving strategic phenomenon of sports digitalisation. We provide insights on how sports digitalisation is currently understood in the IS literature when examined from a stakeholder perspective. Our analysis identifies the key stakeholders involved in sports, the competition stages (i.e., before, during, or after), the nature

Research on business analytics (BA) has made various incongruent assumptions about how BA systems are applied in business processes and how they create value. Meanwhile, machine learning (ML) is changing how BA systems create value, but research streams on ML and BA have yet to come to a shared view on process-level value creation. In this theoretical literature review, we draw on the Information Value

Echo Chambers and Information Cocoons have become the subject of a multifaceted academic debate – ranging from the proper conceptualization and delineation of related concepts, to questions about their prevalence and uniqueness in the online environment, to arguments about their societal impact and the role of digital technologies. This study presents a systematic literature review that analyzes the

Videoconferencing fatigue or ‘Zoom fatigue’ has emerged as a prominent phenomenon due in part to the rapid adoption of videoconferencing during and after the COVID-19 pandemic. This critical literature review focuses on the nature of the labour involved in videoconferencing. Using a qualitative, grounded approach, insights from 147 papers on videoconferencing fatigue were coded according to five types

This paper reviews the emerging literature on blockchain, structuring key insights in a conceptual framework and setting out a research agenda from a socio-technical and information systems (IS) perspective. The review covers 234 blockchain-focused papers across IS, management, computer science and related fields. It categorises blockchain use into three main types and reframes blockchain use within

Digital transformation (DT) has emerged as a central and strategically relevant research phenomenon in information systems (IS) and related disciplines. As a result, a significant body of research on the DT phenomenon has accumulated in recent years. However, while existing research highlights the processual nature of the phenomenon, our theoretical understanding of DT processes remains fragmented

Some online communities built on user-generated content have implemented user participation in self-governance to increase content compliance while saving operational costs. However, there is little knowledge on the impact of user participation in self-governance, particularly regarding users’ content contributions. Drawing on social cognitive theory, this study examined the impact of users’ participation

Big data analytics (BDA) has attracted significant attention from organisations who are seeking to leverage its analytical capabilities to enhance performance. Yet, most BDA investments fail to realise their expected value, indicating that the path for BDA value creation remains unclear; scholars call for a better understanding of the role of BDA use. Therefore, we seek to answer the research question:

The widespread and rapid diffusion of artificial intelligence (AI) into all types of organizational activities necessitates the ethical and responsible deployment of these technologies. Various national and international policies, regulations, and guidelines aim to address this issue, and several organizations have developed frameworks detailing the principles of responsible AI. Nevertheless, the understanding

This study conceptualizes e-Government maturity from the theoretical lens of strategic change. Drawing on a multiplicity of theories, it undertakes a fuzzy-set Qualitative Comparative Analysis of the drivers of e-Government maturity over the 2010–2020 decade. It bypasses partially conflicting findings about the contribution of human capital to high levels of e-Government maturity by showcasing instead

The COVID-19 pandemic set off a systemic crisis that spread rapidly across the globe in early 2020, significantly affecting the outsourcing industry. Information Technology (IT) vendors as well as client firms found it challenging to maintain their performance levels. The Information Systems (IS) outsourcing literature, notably, had little insight to offer to client firms about effective IT outsourcing

Digital innovation is ubiquitous across a wide range of industries, blurring the boundary between traditional and technology industries. An increasing number of firms in traditional industries such as manufacturing, retail, or service now regard themselves as technology companies. In this study, drawing on corporate governance literature, we develop a theoretical framework for the relationship between

Most prior public sector digital transformation (DT) research has examined the role of digitalization in improving either the internal operational efficiency of the government or the quality of government service delivery to external stakeholders such as citizens and businesses. Although policy-driven digitalization of specific sectors is key for promoting public value, government’s role in orchestrating

This paper proposes a process model for design-oriented machine learning (DS-ML) research in the area of information systems (IS). As DS-ML studies become more prevalent in addressing complex business and societal challenges, there is a need for a standardized framework to conduct, communicate, and evaluate such research. We integrate elements from the design science research (DSR) process model, action

Digital innovation is a complex process in which actors seek to create new value pathways by combining digital resources in a layered modular architecture. While IS scholarship has a rich tradition of research on developing and implementing digital artefacts within intra-organisational contexts, our understanding of knowledge integration across distributed innovation networks is nascent and under-theorised

This paper examines the effect of forced and emergent competition- and cooperation-enhancing mechanisms on joint multisourcing performance. We draw on research on coopetition in IS multisourcing and the literature on the crowding-out effect to theorise the interplay between these mechanisms. We argue that the key to understanding whether these mechanisms complement or substitute each other lies in

While there have been studies focused on digital transformation (DT) in industry, we lack an understanding of how it materializes in disaster management (DM). This research provides a literature review of IT-enabled and digital initiatives in DM and examines the potential for DT in the field. We analyzed 254 articles from six different disciplines on the use of digital technology in DM and then developed

Despite the substantial body of evidence detailing the multifaceted use of data within organizations, the conceptualizations of data and their value propositions remain disjointed and require updating. Information Systems scholars contend that the traditional ways of conceiving data now appear inadequate in framing this ever-evolving data-driven phenomenon. In this context, we argue for a reassessment

In this theoretical review, we engage with empirical contributions to digital innovation scholarship to advance our understanding of physicality. Specifically, we develop a conceptualization of physicality grounded in work on the materiality of technology involving two facets: The focus on physicality – an artifact or an activity – and the criticality of physicality when theorizing digital innovation:

This review explores the problems Chief Information Security Officers (CISOs) and other cyber professionals face when defending their organization against cyberattacks. Using a Cyber Defense Grid, which was developed based on military science and cybersecurity concepts and terminology, we coded 125 articles published in Information Systems (IS) journals. We also employed three avenues (i.e., lenses)

While Artificial Intelligence (AI) promises to transform business models and enable novel service propositions, it also ushers in intricate managerial challenges. To comprehend AI’s disruption as well as harness its potential, we conducted a developmental review of 92 scholarly works centred on financial auditing, the chosen professional service domain. Drawing on the corpus of literature, we applied

Open data platforms freely provide citizens with access to public data, thus enabling improved governance transparency, enhanced public services, and increased civic engagement. However, unlocking the potential of this digital transformation strategy requires that public institutions manage the tension between public and private interests. Furthermore, even when public institutions break down traditional

For many public sector organisations, digital transformation is a strategic priority. However, there is limited understanding of how everyday practices shape such large-scale transformation. To address this, we adopt a strategy-as-practice approach to capture the ‘doings’ of strategy on the ground and the role this plays in large-scale transformation. We conducted an in-depth interpretive case study

In this paper, we report on a qualitative exploratory case study of a national-level government-led digital transformation. We depart from most studies on government digital transformation that largely focus on improving existing services, bureaucratic processes, or adopting emerging digital technologies. Instead, we analyze the process of a government-led digital transformation aimed at addressing

Machine learning (ML) offers widely-recognized, but complex, opportunities for both public and private sector organizations to generate value from data. A key requirement is that organizations must find ways to develop new knowledge by merging crucial ‘domain knowledge’ of experts in relevant fields with ‘machine knowledge’, i.e., data that can be used to inform predictive models. In this paper, we

Literature reviews serve diverse purposes, including description, understanding, explanation, and testing. Traditionally – before online databases, full-text search availability, and AI-based search tools – identifying relevant sources might have been considered a valuable contribution. However, top-tier information systems (IS) journals now demand more than descriptive reviews; they require authors

The field of Information Systems continues to change rapidly. The business landscape is being altered by rapid technology development, innovative business models, and a sustained business interest in digital transformation (Marr 2023). This offers an amazing terrain for researchers. We looked back at what was published 20 years ago in JSIS and compared it to current publications. The following pages

Triggered by events such as the murder of George Floyd, the last few years have witnessed the revival of the Black Lives Matter movement, the #metoo movement and other collective initiatives that support LGBTQ + communities and other historically disadvantaged groups. At the same time, the widespread and still growing capabilities of automated systems for decision-making – such as artificial intelligence

Software patents have been shown to have a positive effect on the patenting firm’s market value. Although there is anecdotal evidence that software patents of a focal firm can adversely affect its rival firms, there is a paucity of empirical research on such competitive impacts of software patents. In order to advance our understanding of the competitive impact of software patents, we investigate the

Internal boundaries between information systems divisions have traditionally caused friction and frustration, and negatively affected IT staff job satisfaction. Adopting open source development principles and processes within a corporate environment, what has been labeled ‘inner source,’ is now part of a larger management strategy to break down silos and promote innovation, collaboration, cooperation

We examine how firms configure alliance portfolios—that is, networks of partnering firms—in order to exchange, share, or codevelop the capabilities they require to engage in digital innovation. We analyze data from 550 U.S. firms and the strategic alliances they formed within and across industrial sectors to study how the configuration of alliance portfolios in terms of size, degree of exploration

Abstract not available

Digital social innovation (DSI) offers incumbents a strategic field of action to leverage the opportunities of digital technologies to address pressing societal challenges. By proposing a taxonomy and 12 clusters of incumbents’ DSI initiatives based on a sample of 296 real-world objects, we develop a unified understanding of DSI and its characteristics. This lays the foundation for further theorising

Abstract not available

Although cloud computing is associated with organizational agility, anecdotal evidence points to resistance to cloud computing by employees in information technology (IT) units. We explored the links between software as a service (SaaS) and organizational agility by conducting two stages of interviews with key informants in large organizations, and by employing affordance and inertia-theoretical lenses

Abstract not available

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

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

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

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

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

Abstract not available

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

Abstract not available

Workplace inclusion is a strategic concern for organizations, yet challenging to achieve. We investigate how Information and Communications Technology (ICT) use can enhance workplace inclusion. Based on qualitative data collected from a leading UK organization, we conceptualize four ICT-enabled workplace inclusion practices – Expanding, Orienting, Enculturating, and Reflecting. Each practice entails

In this paper, we provide a detailed insight into the complex coevolution dynamics that shape the alignment process by analyzing how different mechanisms and factors are mutually related in complex networks of feedback loops. We combine insights from the literature on alignment as a (coevolution) process with literature on alignment as a state to identify the different components of the organization’s

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

Abstract not available

Recent diversity, equity, and inclusion (DEI) efforts have made some limited progress in addressing underrepresentation and unequal opportunities for minority members in the Information Systems (IS) academic community. The Association for Information Systems (AIS), as the preeminent global professional society for the IS discipline, is tasked with acting on behalf of its members and their colleagues