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Success of cloud computing adoption over an era in human resource management systems: a comprehensive meta-analytic literature review

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  • S. Porkodi

    (University of Technology and Applied Sciences)

  • Alamelu Mangai Raman

    (University of Technology and Applied Sciences)

Abstract

Cloud computing helps organisations expand, be flexible, and concentrate on operating their businesses instead of managing their complex IT infrastructure. However, implementing such systems has several technical and organisational within the company. The primary objective of this study is to identify the important factors that impact the adoption of cloud computing in human resource management systems through a meta-analytic literature review and to suggest a new model with unleashed components determining the success of cloud-based HRM systems. Since the number of studies for meta-analysis is very less, the study incorporates a systematic literature review comprising of 69 studies published since 2012 in various journals and conferences. Among which, 10 quantitative studies are selected for meta-analytic analysis by extracting 65 relationships with a total sample size of 3389. The descriptive statistics show that the number of publications has grown since the year 2020, with a dominant contribution from China. From the analysis, it is found that the efficiency of the HRM systems contributes more to organisational development (β = 0.897), and cloud-based services highly influence the performance of such HRM systems (β = 0.816). Moreover, executive or leadership support has a strong correlation with facilitating conditions (β = 0.72) and social influence (β = 0.68). The intention to use cloud-based HRM is determined by the facilitating conditions (0.487). Furthermore, cloud computing characteristics such as complexity (β = 0.37) and compatibility (β = 0.37) have a positive relationship with effort expectancy. Thus, management and executives must work together on programmes that assist organisations adapt to change. Technology's complexity may be eased by the system's expertise.

Suggested Citation

  • S. Porkodi & Alamelu Mangai Raman, 2025. "Success of cloud computing adoption over an era in human resource management systems: a comprehensive meta-analytic literature review," Management Review Quarterly, Springer, vol. 75(2), pages 1041-1075, June.
    • Handle: RePEc:spr:manrev:v:75:y:2025:i:2:d:10.1007_s11301-023-00401-0
    DOI: 10.1007/s11301-023-00401-0
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    References listed on IDEAS

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    1. Xiulan Chen & Xiaofei Xu & Yenchun Jim Wu & Wei Fong Pok, 2022. "Learners’ Continuous Use Intention of Blended Learning: TAM-SET Model," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
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    3. Chunling Cai & Chuanyi Chen & Zhihan Lv, 2021. "Optimization of Human Resource File Information Decision Support System Based on Cloud Computing," Complexity, Hindawi, vol. 2021, pages 1-12, June.
    4. Haiqiu Li & Wei Wang, 2021. "Optimization of the Enterprise Human Resource Management Information System Based on the Internet of Things," Complexity, Hindawi, vol. 2021, pages 1-12, March.
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    More about this item

    Keywords

    Cloud computing; Small and medium enterprises; Human resource management systems; Resource allocation; System efficiency; Executive support;
    All these keywords.

    JEL classification:

    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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