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Factors Influencing the Intention of Leaders to Use HRIS Software in Small and Medium-Sized Enterprises

Author

Listed:
  • Dao Thi Ha Anh

    (University of Economics and Business – Vietnam National University, Hanoi, Vietnam)

  • Nguyen Thi Thu Huong

    (University of Economics and Business – Vietnam National University, Hanoi, Vietnam)

  • Luu Thi Minh Ngoc

    (University of Economics and Business – Vietnam National University, Hanoi, Vietnam)

  • Bui Thi Quyen

    (University of Economics and Business – Vietnam National University, Hanoi, Vietnam)

  • Vu Viet Hoan

    (University of Economics and Business – Vietnam National University, Hanoi, Vietnam)

  • Pham Phuong Thao

    (School of Interdisciplinary Sciences and Arts – Vietnam National University, Hanoi, Vietnam)

  • Tran Phuong Tra

    (International School, Vietnam National University, Hanoi, Vietnam)

  • Nguyen Hong Thai

    (University of Economics and Business – Vietnam National University, Hanoi, Vietnam)

  • Do Thi Thuy Duong

    (University of Economics and Business – Vietnam National University, Hanoi, Vietnam)

Abstract

Purpose: This study aims to identify the factors that influence the intention of small and medium-sized enterprise (SME) leaders in Hanoi to use human resource information system (HRIS) software. Design/methodology/approach: The quantitative research method with a sample size of 416 SME leaders, combined with the Theory of Planned Behavior (TPB), Theory of Reasoned Action (TRA), Task-Technology Fit Acceptance Model (TTF-TAM), and Task-Technology Fit Unified Theory of Acceptance and Use of Technology (TTF-UTAUT) models. Findings: The research results show five leading factors that affect SME leaders’ intention to use HRIS: perceived usefulness, perceived ease of use, Social influence, facilitating conditions, and Task-technology fit. HRIS software companies can use the research findings to develop marketing and sales strategies focusing on the factors that drive SME leaders’ intention to use HRIS. Originality/value: SME leaders can use the research findings to better understand the factors that influence their intention to use HRIS software and make informed decisions about adopting HRIS. Effective HRIS adoption can help SMEs improve their HR management efficiency and increase productivity and profitability. This study narrows the gap in understanding the factors influencing SME leaders’ adoption of HRIS, providing valuable insights for software companies to address management skepticism and promote HRIS usage in SMEs. The integrated approach of combining different theoretical models and focusing on the specific context of SMEs in Hanoi is a novel and unique feature of this study.

Suggested Citation

  • Dao Thi Ha Anh & Nguyen Thi Thu Huong & Luu Thi Minh Ngoc & Bui Thi Quyen & Vu Viet Hoan & Pham Phuong Thao & Tran Phuong Tra & Nguyen Hong Thai & Do Thi Thuy Duong, 2024. "Factors Influencing the Intention of Leaders to Use HRIS Software in Small and Medium-Sized Enterprises," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(3), pages 127-153.
    • Handle: RePEc:aag:wpaper:v:28:y:2024:i:3:p:127-153
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    References listed on IDEAS

    as
    1. Aizhan Tursunbayeva & Raluca Bunduchi & Claudia Pagliari, 2020. "“Planned Benefits†Can Be Misleading in Digital Transformation Projects: Insights From a Case Study of Human Resource Information Systems Implementation in Healthcare," SAGE Open, , vol. 10(2), pages 21582440209, June.
    2. Anthony R. Hendrickson, 2003. "Human Resource Information Systems: Backbone Technology of Contemporary Human Resources," Journal of Labor Research, Transaction Publishers, vol. 24(3), pages 382-394, July.
    3. Mark L. Lengnick-Hall & Steve Moritz, 2003. "The Impact of e-HR on the Human Resource Management Function," Journal of Labor Research, Transaction Publishers, vol. 24(3), pages 365-379, July.
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    5. Hyo-Jin Kang & Jieun Han & Gyu Hyun Kwon, 2022. "The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
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    More about this item

    Keywords

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    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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