Workers’ Affective Commitment in The Gig Economy: The Role of IS Quality, Organizational Support, and Fairness

Background: The rapidly growing gig economy brings lots of opportunities and challenges, and one of them is workers’ affective commitment. Because of the gig economy’s nature, gig workers depend on the technology-enabled platform to finish their tasks. We investigate how gig workers’ perception of the platform’s quality, or IS quality, will affect how they perceive organizational support and fairness, which further affects their affective commitment. Method: We surveyed 239 Uber drivers in Indonesia to test our model via snow-balling technique. We used PLS with a second-order formative construct model to validate our hypotheses. Results: The results showed that the two dimensions of IS quality, information quality and system quality, were positively associated with organizational support. Only information quality was positively associated with fairness. Both organizational support and fairness were positively associated with affective commitment. Conclusion: For uber drivers, information quality and system quality of the Uber App serve as drivers of perceived organization support. Information quality also contributes to perceived fairness. Drivers who perceive high organization support and fairness are more likely to be affectively committed to the organization

Negotiating Agency and Control: Theorizing Human-Machine Communication from a Structurational Perspective

Intelligent technologies have the potential to transform organizations and organizing processes. In particular, they are unique from prior organizational technologies in that they reposition technology as agent rather than a tool or object of use. Scholars studying human-machine communication (HMC) have begun to theorize the dual role played by human and machine agency, but they have focused primarily on the individual level. Drawing on Structuration Theory (Giddens, 1984), we propose a theoretical framework to explain agency in HMC as a process involving the negotiation of control between human and machine agents. This article contributes to HMC scholarship by offering a framework and research agenda to guide future theory-building and research on the use of intelligent technologies in organizational contexts

Algorithmic Management: Its Implications for Information Systems Research

In recent years, the topic of algorithmic management has received increasing attention in information systems (IS) research and beyond. As both emerging platform businesses and established companies rely on artificial intelligence and sophisticated software to automate tasks previously done by managers, important organizational, social, and ethical questions emerge. However, a cross-disciplinary approach to algorithmic management that brings together IS perspectives with other (sub-)disciplines such as macro- and micro-organizational behavior, business ethics, and digital sociology is missing, despite its usefulness for IS research. This article engages in cross-disciplinary agenda setting through an in-depth report of a professional development workshop (PDW) entitled “Algorithmic Management: Toward a Cross-Disciplinary Research Agenda” delivered at the 2021 Academy of Management Annual Meeting. Three leading experts (Mareike Möhlmann, Lindsey Cameron, and Laura Lamers) on the topic provide their insights on the current status of algorithmic management research, how their work contributes to this area, where the field is heading in the future, and what important questions should be answered going forward. These accounts are followed up by insights from the breakout group discussions at the PDW that provided further input. Overall, the experts and workshop participants highlighted that future research should examine both the desirable and undesirable outcomes of algorithmic management and should not shy away from posing ethical and normative questions

The Gig Economy: Workers, Work and Platform Perspective

In recent years, the gig economy has changed the way many people work. This research phenomenon has attracted scientists from many different fields to an emerging field of research. Given the actuality of the topic and diversity of perspectives, there is a great need to collect and connect what has been researched which can serve as a basis for future discussions. Starting with a collection of 139 publications on the gig economy, gig work and related terms, we identify some trends in the literature and the underlying research interests. In particular, we organize the literature around the concept of the gig economy in terms of gig workers, gig work, and digital platforms, and draw several interesting insights from the literature. Finally, we identify important gaps in the existing literature on working in the gig economy and provide guidance for future research

Algorithms as a Manager: A Critical Literature Review of Algorithm Management

We review the literature on algorithmic management to help future researchers acquire a comprehensive recap of past research with detailed discussions on the main findings and develop a taxonomy as a tool of summarization that assists researchers in reflecting critically on their systems and identifying potential gaps. We determine five critical areas of algorithmic management: the mechanisms of algorithmic management, effects of algorithmic management, second party\u27s response to algorithmic management, concerns around algorithmic management, design of algorithmic management, and policy implications. These topics are analyzed and discussed

Customer experience challenges: bringing together digital, physical and social realms

This paper discusses important societal issues, such as individual and societal needs for privacy, security, and transparency. It sets out potential avenues for service innovation in these areas

Towards a Nex-Gen Cottage Industry in the Digital Age: Insights from an Action Research with Rural Artisans in India

Despite the recognition of the significance of the crafts industry for inclusive development, its informal, disaggregated and disenfranchised nature poses several problems for the rural artisans, who are often forced to live in poverty. Extant approaches to address the industry’s problems have involved siloed attempts, wherein interventions were appropriated to resolve issues within parts of the supply chain, resulting in persistence of the issues. Using Self-Help- Group women in rural India as a case in point, the paper adopts a discovery orientation and action research alignment to evolve the design principles of an ICT driven peer-to-peer collaborative, decentralized supply chain model known as Nex-Gen Cottage Industry as a means to organise the industry. The results of a pre-pilot study in a village Kandi have been discussed along with the implications of this research for academia and the society