Stakes, positions and logics: An institutional field analysis of cross-border health IT policy

The concepts field and habitus are used widely and variably in institutional theory. The intellectual antecedents are found in the work of the French Sociologist, Pierre Bourdieu. This study presents a field-level analysis of pan-European policy on cross-border health information technology. Using field theory and institutional theory, we situate field as a multi-level concept which extends institutional and organizational levels of analysis. Empirical data is gathered from European policymakers, health professionals and patient advocacy groups on the diffusion of supra-national health information technology across European Member States. Findings reveal four scenarios depicting field tensions, as ideological and practical imperatives of supra-national health information technology policy mis-align with Member State health systems. This study has implications for policy-makers and other stakeholders, who seek to narrow the digital divide across health fields and sub-fields.

Statistical significance versus practical importance in information systems research

It has been reported that many empirical papers published in prestigious journals in economics, psychology, and medicine prioritize statistical significance over practical importance. We investigate whether the same is true of articles published in the MIS Quarterly, a top-tier information systems journal.

Steps toward a digital ecology: ecological principles for the study of digital ecosystems

The notion of digital ecosystems has become a fruitful metaphor for examining the effects of digitalization across boundaries of organization, industry, lifeworld, mind, and body. In business-economic terms, the metaphor has inspired IS research into new business models, while in engineering terms, it has led to important insights into the design and governance of digital platforms. Studying digital ecosystems in these terms, however, makes it difficult to trace and explain those effects of digitalization, which do not materialize predominantly in economic and engineering patterns. Important relationships and their effects may therefore go unnoticed. In response, I draw on the ecological epistemology of Gregory Bateson and others to contribute an ecological approach to digital ecosystems. Such an understanding, I argue, expands the possibilities for tracing and explaining the wide-reaching, boundary-crossing effects of digitalization and the runaway dynamics they may lead to. I suggest to do this based on three principles: (1) part-of-ness—phenomena are to be observed as always part of a larger ecosystem; (2) systemic wisdom—ecosystems have limits, which need to be respected; and (3) information ecology—ecosystems are not mechanical but informed, cognitive systems. As my contribution, I propose six avenues for future IS research into digital ecology.

Digital assemblages, information infrastructures, and mobile knowledge work

We theorize mobile knowledge workers’ uses of digital and material resources in support of their working practices. We do so to advance current conceptualizations of both “information infrastructures” and “digital assemblages” as elements of contemporary knowledge work. We focus on mobile knowledge workers as they are (increasingly) self-employed (e.g., as freelancers, entrepreneurs, temporary workers, and contractors), competing for work, and collaborating with others: one likely future of work that we can study empirically. To pursue their work, mobile knowledge workers draw together collections of commodity digital technologies or digital assemblages (e.g., laptops, phones, public WiFi, cloud storage, and apps), relying on a reservoir of knowledge about new and emergent means to navigate this professional terrain. We find that digital assemblages are created and repurposed by workers in their infrastructuring practices and in response to mobility demands and technological environments. In their constitution, they are generative to both collaborative and organizational goals. Building from this, we theorize that digital assemblages, as individuated forms of information infrastructure, sustain stability and internal cohesion even as they allow for openness and generativity.

Making sense of continuous development of digital infrastructures

Continuous development extends the agile approach and focuses on bringing valuable services to users with the aim of achieving a continuous flow of learning and development in short cycles. The objective of this work is to theorize the idea of continuous development in the context of digital infrastructure evolution and explore the organizational interactions underlying continuous development. By drawing on literature on digital infrastructure theory and continuous development as it has emerged as an idea from the DevOps thinking expanded from agile, we outline main characteristics of continuous development and propose a theoretical definition of continuous development in organizational contexts. Then, in answering our research question “which patterns of interactions can be identified in the continuous development of digital infrastructures?”, we conducted a longitudinal case study at a Norwegian grid company and explored how a specific digital infrastructure evolved through continuous development. We identified generic interaction patterns with two cycles of sense-giving and sense-making between organizational actors, enabling the continuous development of the digital infrastructure. Our findings and model of interaction patterns offer a nuanced perspective on both digital infrastructure evolution and established views of sense-making and sense-giving mechanisms, as well as new ways to think about digitalization in incumbent firms.

Artificial intelligence and the conduct of literature reviews

Artificial intelligence (AI) is beginning to transform traditional research practices in many areas. In this context, literature reviews stand out because they operate on large and rapidly growing volumes of documents, that is, partially structured (meta)data, and pervade almost every type of paper published in information systems research or related social science disciplines. To familiarize researchers with some of the recent trends in this area, we outline how AI can expedite individual steps of the literature review process. Considering that the use of AI in this context is in an early stage of development, we propose a comprehensive research agenda for AI-based literature reviews (AILRs) in our field. With this agenda, we would like to encourage design science research and a broader constructive discourse on shaping the future of AILRs in research.

The anatomy of ‘fake news’: Studying false messages as digital objects

Public concern about ‘fake news’ skyrocketed following the 2016 US presidential election and the Brexit referendum, and has only intensified since then. A burgeoning body of research on the topic is emerging, and conceptual clarity is vital for this research to converge into a cumulative body of knowledge; the purpose of this article is to underline and address some of the conceptual clutter and ambiguities around the concept of fake news and situate it within its social context. To do so, we first discuss the problems with current terminology and conceptualisation, and then draw on recent developments on the ontology of digital objects and their attributes to shift the focus from fake news to false messages, a type of syntactic digital objects comprised of content and structure and characterised by attributes of editability, openness, interactivity, and distributedness. Then we expand this concept further by placing it within a network of actors and digital objects. Our analysis uncovers several areas of research that have been overlooked in the study of fake news.

Workplace Cyberbullying: A Criminological and Routine Activity Perspective

Extant research on the antecedents of workplace cyberbullying pays little attention to the role of perpetrator traits in influencing workplace cyberbullying, as well as the unique occurrence context that distinguishes workplace cyberbullying with juvenile cyberbullying, workplace bullying, and adult cyberbullying in general. To fill these gaps, we consider the antecedents of workplace cyberbullying under the theoretical lens of the general theory of crime and routine activities theory. We build a model incorporating low self-control, a widely discussed perpetrator trait in criminology theories, with three types of routine activities representing the unique occurrence context for workplace cyberbullying--mWork, boundary spanning in ESM, and proactive email checking. We tested our model with 2025 employees in the U.S.. Our findings demonstrate that low self-control and the three routine activities are strong motivators for workplace cyberbullying. Our findings further show that the effect of low self-control on workplace cyberbullying is amplified by the three routine activities. The study contributes to our understanding of why workplace cyberbullying occurs and offers potential implications for managers interested in reducing incidences of workplace cyberbullying in their organization.

Exploring technological instantiation of regulatory practices in engtangled financial markets

The literature on the sociology of financial markets and institutional theory promotes concepts of field, networks, performativity, agencement and financial entropy. This study builds a conceptual model of technological instantiation of regulatory practices in financial markets. We observe how asset management firms instantiate technology as a material and social artefact to regulate the actions and behaviour of human agents. The structural-agency divide reveals the coercive role of regulators who impose stringent compliance practices on financial organizations by embedding formal rules and regulations in the software. Socio-technical conditions show how human agents interpret and apply these rules to circumvent formal regulatory policies and practices. Context-specific analysis shows technological performativity and agencement co-exist in financial fields that are becoming more entangled and fragmented. Regulators respond with more complex mandates to reduce entropy in financial markets characterized by extreme volatility and instability.

EXPRESS: Capabilities for Value Co-Creation and Value Capture in Emergent Platform Ecosystems: A Longitudinal Case Study of SAP’s Cloud Platform

Companies across industries are shifting toward a platform ecosystem strategy. By leveraging cloud computing technologies, companies aim to benefit from collaboration with a wide range of third-party developers within emergent platform ecosystems. To succeed, these companies need to develop new organizational capabilities to co-create and capture value in platform ecosystems. To understand what capabilities are crucial to establish platform ecosystems and how they contribute to value co-creation and value capture, we conducted a multi-year, in-depth case study of SAP’s cloud platform project. We identified (1) technology-related capabilities (cloud-based platformization, open IT landscape management) and (2) relationship-driven capabilities (ecosystem orchestration, platform evangelism, platform co-selling) and illustrate how these capabilities help the platform owner to enable and balance value co-creation and value capture in an emergent platform ecosystem. With our findings, we contribute to the discussion on how companies can overcome the challenging emergent phase of platform ecosystems. We thereby bridge literature on value creation in platform ecosystems and on organizational capabilities. Though we conducted our study in the context of the enterprise software industry, we discuss how our findings apply to prospective platform owners from different contexts.