Progressively, information systems (IS) researchers draw on digital trace data to capture the emergent dynamics of today’s digitalized world. Digital trace data enable researchers to generate highly-context specific insights into the features and dynamics of socio-technical phenomena. We suggest how IS researchers can use digital trace data to develop situated explanations, that is, explanations that capture the idiosyncratic features of real-world problems in order to generate impactful solutions to these problems. We outline five key principles to build situated explanations based on digital trace data. We make several suggestions on how the information system field can adjust its research and publication practices to embrace the development and dissemination of situated explanations.

While digital platforms have become an increasingly important research area in the information systems discipline, the existing literature does not conceptualize a theoretical link between platforms and morality. This paper theorizes such a link by drawing on Jensen’s (2010) conceptualization of processes of demoralization to operationalize two notions from critical social theorist Zygmunt Bauman: workers’ moral impulse and moral ambivalence. We conducted a case study of a large luxury resort hotel to examine how digital platforms (specifically TripAdvisor and WhatsApp) facilitate surveillance. Our findings show how digital platform-facilitated synoptic and panoptic forms of surveillance can suppress workers’ moral impulse and foster moral ambivalence towards such issues as invading others’ privacy, pressuring others outside working hours, and increasing surveillance in the workplace. This paper offers a novel perspective on theorizing the links between digital platforms, surveillance, and workers’ morality and highlights some unintended consequences.

Remote work has become a routine experience for many managers, forcing them to adapt to new ways of ensuring that employees follow company procedure and achieve job targets. Key among these changes have been to the move to computer-mediated surveillance (CMS), where managers monitor employees through electronic representations of work and computer-mediated interaction (CMI), where managers interact with employees through online communication. The outcome of this move is ambiguous and contradictory. CMS can strengthen control because of how effective it is at reporting on work. However, CMI can weaken control because of how effective it is at withholding work practice.
 We review the literature on remote work to explain how these apparently contradictory effects interact. We show that the joint effect of CMI and CMS goes beyond changing the amount of control over employees. Instead, this joint effect requires managers to ensure the accessibility necessary for control of remote work: that employees make their work visible and that they make themselves reachable for interaction with managers and peers. We use this new domain of control to outline a two-dimensional model of control.

Academic and practitioner interest in crypto-assets is gaining momentum. Different values and agendas influence regulatory policy. Competing ideologies and social norms about the efficacy of regulatory regimes, the influence of innovation philosophies, and the need to foster ethical principles and practices underpin debates on crypto-assets. Semi-structured interviews were carried out in the USA and UK with regulators, tech firms, institutional and retail investors, and crypto social media influencers. Stakeholder groups were classified as interventionists, innovators, influencers, and investors. The research builds a data structure from extant literature and empirical research. Aggregate dimensions of inchoate technology, regulatory intervention, and innovation social norms reflect complex and competing stakeholder positions on crypto assets. Findings show crypto-assets are not homogenous, but highly differentiated with potential effects and outcomes determined by algorithmic code. However, competing stakeholder agendas obfuscate policy development for decentralized finance.

Because of COVID-19 lockdowns, managers and administrators have begun to look for new ways to monitor and control their stranded-at-home workforce. Yet long before the pandemic already, advancements in datification, sensorization, and artificial intelligence have given rise to what we call connected workplace surveillance. At the heart of this new mode of employee monitoring and control is the extension of the scope of data collection beyond what is necessary and reasonable for performance appraisals or managerial oversight. This includes treating an employee’s body as a data source, disrespecting the boundaries between business and private life, or using gathered surveillance information for subtle persuasion, manipulation, and coercion. This article provides a new perspective on control theory, examining the characteristics of connected surveillance and comparing it to visual or computerized surveillance. Taking an employee-centric position, it also proposes a research agenda for critical, behavioral, and design-oriented scholars who wish to explore the identified issues.

In this paper, we offer an original framework to study Artificial Intelligence (AI). The perspective we propose is based on the idea that AI is a system technology, and that a useful description of AI cannot abstain from mapping the components of the system, their interdependence, and how the synergies they create shape at the roots the directions of AI development. We adopt the concept of Large technical systems (LTS) to give substance and structure to our idea. Using LTS, we are able to scaffold AI and the forces at work steering its production, deployment, and evolution. We find that AI as a system shares essential features with infrastructural technologies such as the Internet. The LTS framework proves very useful to capture important nuances of the technology, and it allows us to trace the connections and cross–influences among its constituting domains—algorithms (software), compute (hardware), and data. We compare our proposed framework with other concepts usually associated with radical innovations, and suggest in which respects AI differs from these ideal–types. We consider ours a timely exercise, as we witness the formation of an AI industry. While in the making, this industry is rapidly ossifying, together with its specific problems, power imbalances, and development scenarios; the focus on the system–ness of AI allows uncovering the deeper structure of this technological breakthrough.

‘Digital’ ways of working and organising are undeniably changing the nature of work that is becoming ever more uncertain, unsettled, and fluid. These changes call into question our understanding of work and our conceptions of worker identity. In this paper, we ask the question: how is digital worker identity performed in such fluid and unsettled work settings? To explain digital worker identity performance, we investigated digital nomadism as an extremely fluid and unsettled case of digital work. We studied digital nomads, high-skilled professionals who use digital technologies to work remotely and lead a nomadic lifestyle, in a multi-sited ethnographic field study. Based on a process-relational perspective, our analysis reveals how the identity of digital nomads, their “becoming”, is performed as an ongoing process. This process unfolds along the flow of three lines of identity performance—journeying, workliving, and digital reassembling. The lines of identity performance, as products of our theorising, are proposed as a foundation for a process-relational theory of digital worker identity.

We show that proximity is significant during cloud computing’s adoption. This is counter to the prevailing assumptions of cloud adoption as being more impersonal and distant, with less interaction between provider and purchaser than on-premise technologies. We do this through an interpretive study of cloud computing adopters across Europe. We develop a conceptual framework of cloud proximity which draws attention to its locational, relational and temporal proximal dimensions. Our proximal analysis leads us to identify three aspects of cloud adoption where proximity plays a key role: mercantile aspect (e.g., cloud sales support), counsel aspect (e.g., access to internal and external expertise) and organi-technical aspect (e.g., the understanding of cloud technology and services alongside their organizational adoption context). By challenging assumptions of distant and remote adoption, we contribute to the cloud computing adoption research and raise questions for IT adoption in general.

Digital trace data can be used to capture organizational practices in granular detail and enable the automation of a wide range of managerial tasks. One example is Digital Productivity Assistants (DPA) that harness digital trace data about knowledge workers’ performance and make targeted suggestions for how to improve and optimize their work patterns. Previous research shows that despite benevolent intentions to increase workers’ wellbeing, DPA tend to introduce novel forms of exploitation and control. Inspired by Michel Foucault’s philosophical strategy of ‘problematization,’ which emphasizes how practices are constructed in the form of problems that subsequently shape certain solutions, this paper takes a critical yet constructive view of DPA. Specifically, we conduct a genealogical reading of the DPA tool, Microsoft MyAnalytics, to investigate the problematics that have structured its emergence, as well as how its uses imply certain discursive commitments to philosophical and ethical questions. In the prevailing discourse, DPA cast digital trace data as a learning opportunity and thereby commit to individualizing the responsibility for handling the paradoxical nature of increasingly fluid work arrangements. Conversely, in our account of the history of MyAnalytics, we uncover a ‘lost discourse’ committed to trace data as a resource that can help knowledge workers negotiate excessive workloads. We propose the problematization lens as a way critically to articulate alternatives and speculate about instantiations of digital technology that today seem ‘unthinkable’.