IDEAS home Printed from https://ideas.repec.org/a/spr/jglont/v7y2017i1d10.1186_s40497-017-0063-5.html
   My bibliography  Save this article

The impact of ICT on the efficiency of HRM in Cameroonian enterprises: Case of the Mobile telephone industry

Author

Listed:
  • Serge Mandiefe Piabuo

    (World Agroforestry Centre)

  • Ngwe Elvis Piendiah

    (University of Yaounde II)

  • Njoh Lawrence Njamnshi

    (University of Yaounde II)

  • Puatwoe Janice Tieguhong

    (TTRECED-Cameroon)

Abstract

The objective of this study is to determine the impact of Information and Communication Technology on the efficiency of Human Resource Management in the Cameroon mobile Telecommunication Sector. It specifically seeks to investigate how the use of ICT affects the following human resources management practices; Human resource planning, training and development, selection and recruitment, human resource evaluation and compensation. An exploratory research design was employed in the study. A sample of 120 management, senior, junior and contract staffs of the 03 (three) main mobile telephone operators responded to a structured questionnaire. The data collected was coded and entered into SPSS version 17. Pearson correlation coefficient was used to establish the relationship between the variables in the study, regression analysis was used to establish the combined effect of study variables on the dependent variable. The results show a significant positive relationship between the use of ICT in selection and recruitment, training and development, Human resource planning, evaluation and compensation and human resource management efficiency. This highlights the use of ICT as an efficient tool in Human resource management of enterprises. The use of ICT assures Human resource management efficiency, we therefore suggest that regular Information and Communication Technology training and development should be enhanced so as to allow proper interactions between Human Resource Management and the different departments which could lead to the organizational efficiency.

Suggested Citation

  • Serge Mandiefe Piabuo & Ngwe Elvis Piendiah & Njoh Lawrence Njamnshi & Puatwoe Janice Tieguhong, 2017. "The impact of ICT on the efficiency of HRM in Cameroonian enterprises: Case of the Mobile telephone industry," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 7(1), pages 1-18, December.
    • Handle: RePEc:spr:jglont:v:7:y:2017:i:1:d:10.1186_s40497-017-0063-5
    DOI: 10.1186/s40497-017-0063-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s40497-017-0063-5
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s40497-017-0063-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zwick, Thomas, 2003. "The Impact of ICT Investment on Establishment Productivity," National Institute Economic Review, National Institute of Economic and Social Research, vol. 184, pages 99-110, April.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    4. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    5. 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.
    6. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    7. Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
    8. Shyamal K. Chowdhury, 2006. "Investments in ICT-capital and economic performance of small and medium scale enterprises in East Africa," Journal of International Development, John Wiley & Sons, Ltd., vol. 18(4), pages 533-552.
    9. Somesh K. Mathur, 2009. "Financial Analysis of the ICT Industry," Journal of Infrastructure Development, India Development Foundation, vol. 1(1), pages 17-43, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pavla Vrabcová & Hana Urbancová, 2021. "Use of human resources information system in agricultural companies in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(5), pages 173-180.

    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. repec:thr:techub:1009:y:2020:i:1:p:397-404 is not listed on IDEAS
    2. repec:dau:papers:123456789/12445 is not listed on IDEAS
    3. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    4. Lorenz Graf-Vlachy & Katharina Buhtz & Andreas König, 2018. "Social influence in technology adoption: taking stock and moving forward," Management Review Quarterly, Springer, vol. 68(1), pages 37-76, February.
    5. repec:dau:papers:123456789/13000 is not listed on IDEAS
    6. Dani Safaa & Faridi Mohamed, 2020. "The factors of acceptance and use of HRIS," Technium Social Sciences Journal, Technium Science, vol. 9(1), pages 397-404, July.
    7. Jui-Che Tu & Chi-Ling Hu, 2018. "A Study on the Factors Affecting Consumers’ Willingness to Accept Clothing Rentals," Sustainability, MDPI, vol. 10(11), pages 1-30, November.
    8. Peng, Zeyu & Sun, Yongqiang & Guo, Xitong, 2018. "Antecedents of employees’ extended use of enterprise systems: An integrative view of person, environment, and technology," International Journal of Information Management, Elsevier, vol. 39(C), pages 104-120.
    9. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    10. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 0. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    11. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    12. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    13. Keen, C. & Wetzels, M., 2001. "Exploring the Preference Structure for Online and Traditional Retail Formats," Working Papers 01.18, Eindhoven Center for Innovation Studies.
    14. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    15. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    16. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    17. van Hoesel, C.P.M. & Goossens, J.H.M. & Kroon, L.G., 2001. "A branch-and-cut approach for solving line planning problems," Research Memorandum 016, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    18. Damon E. Campbell & John D. Wells & Joseph S. Valacich, 2013. "Breaking the Ice in B2C Relationships: Understanding Pre-Adoption E-Commerce Attraction," Information Systems Research, INFORMS, vol. 24(2), pages 219-238, June.
    19. Hsu, Chin-Lung & Lu, Hsi-Peng & Hsu, Huei-Hsia, 2007. "Adoption of the mobile Internet: An empirical study of multimedia message service (MMS)," Omega, Elsevier, vol. 35(6), pages 715-726, December.
    20. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    21. Waleed A. Hammood & Ruzaini Abdullah Arshah & Salwana Mohamad Asmara & Hussam Al Halbusi & Omar A. Hammood & Salem Al Abri, 2021. "A Systematic Review on Flood Early Warning and Response System (FEWRS): A Deep Review and Analysis," Sustainability, MDPI, vol. 13(1), pages 1-24, January.
    22. Bedman Narteh & Mahmoud Abdulai Mahmoud & Simon Amoh, 2017. "Customer behavioural intentions towards mobile money services adoption in Ghana," The Service Industries Journal, Taylor & Francis Journals, vol. 37(7-8), pages 426-447, June.
    23. Yu-Jin Choi & Jin-Woo Park, 2020. "Investigating Factors Influencing the Behavioral Intention of Online Duty-Free Shop Users," Sustainability, MDPI, vol. 12(17), pages 1-20, August.

    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:spr:jglont:v:7:y:2017:i:1:d:10.1186_s40497-017-0063-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.