IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04124095.html
   My bibliography  Save this paper

La digitalisation de la gestion des ressources humaines et son impact sur la performance organisationnelle : Le rôle du contexte environnemental et technologiques

Author

Listed:
  • Ibrahim Tanko Gampine

    (CORHIS - Communication, Ressources Humaines et Intervention Sociale - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia)

  • Jean-Michel Plane

    (CORHIS - Communication, Ressources Humaines et Intervention Sociale - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia)

  • John D. Kabongo

    (USF - University of South Florida [Tampa])

Abstract

Purpose of this study: to examine the impact of human resource digitalization on organizational performance. Specifically, this study seeks to examine the moderating role of external environment characterized as VUCA. Furthermore, the study investigates the mediating role of information technology environment characterized as SMACs in the relationships between e-HRM and organizational performance. To answer to the formulated hypotheses a quantitative method is employed using data from 266 employees of the service sector is Ghana. Findings: findings from this study support the hypothesis that digitalization of HRM positively impact organizational performance (B= .338; p

Suggested Citation

  • Ibrahim Tanko Gampine & Jean-Michel Plane & John D. Kabongo, 2023. "La digitalisation de la gestion des ressources humaines et son impact sur la performance organisationnelle : Le rôle du contexte environnemental et technologiques," Post-Print hal-04124095, HAL.
    • Handle: RePEc:hal:journl:hal-04124095
    Note: View the original document on HAL open archive server: https://cnam.hal.science/hal-04124095
    as

    Download full text from publisher

    File URL: https://cnam.hal.science/hal-04124095/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elisabetta Raguseo & Claudio Vitari, 2018. "Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects," International Journal of Production Research, Taylor & Francis Journals, vol. 56(15), pages 5206-5221, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luther Yuong Qai Chong & Thien Sang Lim, 2022. "Pull and Push Factors of Data Analytics Adoption and Its Mediating Role on Operational Performance," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    2. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
    3. E. Raguseo & Pigni, F. & Claudio Vitari, 2021. "Streams of digital data and competitive advantage: The mediation effects of process efficiency and product effectiveness," Grenoble Ecole de Management (Post-Print) hal-03323663, HAL.
    4. Rialti, Riccardo & Zollo, Lamberto & Ferraris, Alberto & Alon, Ilan, 2019. "Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    5. Agag, Gomaa & Durrani, Baseer Ali & Shehawy, Yasser Moustafa & Alharthi, Majed & Alamoudi, Hawazen & El-Halaby, Sherif & Hassanein, Ahmed & Abdelmoety, Ziad H., 2023. "Understanding the link between customer feedback metrics and firm performance," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    6. Brinch, Morten & Gunasekaran, Angappa & Fosso Wamba, Samuel, 2021. "Firm-level capabilities towards big data value creation," Journal of Business Research, Elsevier, vol. 131(C), pages 539-548.
    7. Elisabetta Raguseo & Claudio Vitari & Federico Pigni, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," Post-Print hal-03032504, HAL.
    8. Arfan Shahzad & Mohd Syarol Azuan bin Zakaria & Herbert Kotzab & Muhammad Abdul Majid Makki & Aamir Hussain & Julia Fischer, 2023. "Adoption of fourth industrial revolution 4.0 among Malaysian small and medium enterprises (SMEs)," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    9. E. Raguseo & Pigni, F. & Claudio Vitari, 2021. "Streams of digital data and competitive advantage: The mediation effects of process efficiency and product effectiveness," Post-Print hal-03323663, HAL.
    10. Youssef, Mayada Abd El-Aziz & Eid, Riyad & Agag, Gomaa, 2022. "Cross-national differences in big data analytics adoption in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    11. Rajesh Chidananda Reddy & Biplab Bhattacharjee & Debasisha Mishra & Anandadeep Mandal, 2022. "A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy," Information Systems and e-Business Management, Springer, vol. 20(1), pages 223-255, March.
    12. Tahereh Hasani & Norman O’Reilly & Ali Dehghantanha & Davar Rezania & Nadège Levallet, 2023. "Evaluating the adoption of cybersecurity and its influence on organizational performance," SN Business & Economics, Springer, vol. 3(5), pages 1-38, May.
    13. Agag, Gomaa & Shehawy, Yasser Moustafa & Almoraish, Ahmed & Eid, Riyad & Chaib Lababdi, Houyem & Gherissi Labben, Thouraya & Abdo, Said Shabban, 2024. "Understanding the relationship between marketing analytics, customer agility, and customer satisfaction: A longitudinal perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    14. José Dinis-Carvalho & Rui M. Sousa & Inês Moniz & Helena Macedo & Rui M. Lima, 2023. "Improving the Performance of a SME in the Cutlery Sector Using Lean Thinking and Digital Transformation," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    15. Raguseo, Elisabetta & Vitari, Claudio & Pigni, Federico, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," International Journal of Production Economics, Elsevier, vol. 229(C).
    16. Ahmad Ibrahim Aljumah & Mohammed T. Nuseir & Md. Mahmudul Alam, 2021. "Traditional marketing analytics, big data analytics and big data system quality and the success of new product development," Post-Print hal-03538161, HAL.
    17. Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    18. Abdalwali Lutfi & Akif Lutfi Al-Khasawneh & Mohammed Amin Almaiah & Ahmad Farhan Alshira’h & Malek Hamed Alshirah & Adi Alsyouf & Mahmaod Alrawad & Ahmad Al-Khasawneh & Mohamed Saad & Rommel Al Ali, 2022. "Antecedents of Big Data Analytic Adoption and Impacts on Performance: Contingent Effect," Sustainability, MDPI, vol. 14(23), pages 1-23, November.
    19. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
    20. Mihai BOGDAN & Anca BORZA, 2019. "Big Data Analytics and Organizational Performance: A Meta-Analysis Study," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 4(2), pages 1-13, June.

    More about this item

    Keywords

    human resource information system; electronic human resources; digitalization of human resources; VUCA Environment; SMACs technologies;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-04124095. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.