Understanding technology-driven work arrangements from a complexity perspective: a systematic literature review and an agenda for future research

Hesselbarth, Yorck; Alfes, Kerstin; Festing, Marion

doi:10.1080/09585192.2023.2298244

The International Journal of Human Resource Management

2024

DOI: 10.1080/09585192.2023.2298244

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Understanding technology-driven work arrangements from a complexity perspective: a systematic literature review and an agenda for future research

Yorck Hesselbarth,

Kerstin Alfes,

Marion Festing

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2024

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Cited by 2 publications

References 126 publications

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Strategic Human Resource Management in the Era of Algorithmic Technologies: Key Insights and Future Research Agenda

Kim,

Khoreva,

Vaiman

2024

Human Resource Management

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This article presents a contemporary review of human resource management (HRM) research on algorithmic technologies, including artificial intelligence, machine learning, and natural language processing. By connecting these recent advancements to the long‐standing scholarly tradition of HRM‐technology relations, this review examines current knowledge on how algorithmic technologies are reshaping three key areas: (1) work structures and design, (2) HR delivery activities, and (3) the management of technology workers. Using a threefold conceptualization of technology—the tool view, proxy view, and ensemble view—this review explores how organizations employ algorithmic systems to enhance productivity, how the human agency interacts with and resists these technologies, and how broader social, cultural, and institutional contexts shape the use of algorithms in HRM. Additionally, this article offers suggestions for future research, highlighting the unique opportunities algorithmic technologies provide to HR scholars for making enduring contributions to the broader conversations on HRM and technology.

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Strategic Human Resource Management in the Era of Algorithmic Technologies: Key Insights and Future Research Agenda

Kim,

Khoreva,

Vaiman

2024

Human Resource Management

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The Relationship Between New Ways of Working and Employee Engagement: First and Foremost a Matter of Environment Fit

Giauque,

Cornu,

Pacht

2024

Administrative Sciences

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Working independently of a fixed schedule or specific place while staying connected with colleagues and managers via digital technologies is the cornerstone of new ways of working (NWW). Following the COVID-19 crisis, these have become more popular and more extensively used. The main objective of this article is to find out more about the factors that positively influence the use of NWW and to investigate whether their use can have an impact on employees’ work engagement. We employ person–environment fit (P–E fit) theory to link our different variables, emphasizing that a good fit between an individual and their work environment is the driving force linking NWW and work engagement. Our questionnaire survey (n = 2693) demonstrates that NWW does not directly influence work engagement but only does so indirectly through P–E fit. We also prove that a climate of trust, a result-oriented culture, and specific work characteristics can act as positive levers in the deployment of NWW and positively influence P–E fit. This study makes both empirical and theoretical contributions to the NWW literature.

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Understanding technology-driven work arrangements from a complexity perspective: a systematic literature review and an agenda for future research

Cited by 2 publications

References 126 publications

Strategic Human Resource Management in the Era of Algorithmic Technologies: Key Insights and Future Research Agenda

Strategic Human Resource Management in the Era of Algorithmic Technologies: Key Insights and Future Research Agenda

The Relationship Between New Ways of Working and Employee Engagement: First and Foremost a Matter of Environment Fit

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