Acceptance and Use of HRIS and Influence on Organizational Performance of SMEs in a Developing Economy: The Case of Cameroon

  • Fobang Aime NoutsaEmail author
  • Jean Robert Kala Kamdjoug
  • Samuel Fosso Wamba
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 569)


Nowadays, organizations in developed countries use Human Resources Information System (HRIS) in their management as a key element for strategic purposes. However, developing nations such as Cameroon seemed to face challenges in deploying HRIS. Our research attempts to identify salient factors that promote the acceptance and use of HRIS within Cameroonian organizations, and their influence on performance. By drawing on the extant relevant literature, we identified several factors that were analyzed against findings from a survey we conducted among a dozen of HR Managers and 258 HR’s employees. Data were analyzed through SmartPLS 3.2.4. We found quality system is the only predictor of adoption of HRIS. Furthermore, it appeared that acceptance and use, and users’ satisfaction significantly influence performance. Contrary to available research conclusions, our research revealed that HRIS is not sufficiently implemented within firms. Such unusual findings suggest practitioners, mainly SMEs, for the need to develop this system if they are actually eager to face the global competition and take the best of advantage from it. For the better explanation of organizational performance, future researchers may add “business/functional managers” and “end users’” points of view or include moderating variables such as age, gender and education.


HRIS Factors of acceptance and use Satisfaction Performance 


  1. 1.
    Toshani, I., Jerram, C., Gerrard, M.: Exploring the organisational adoption of human resource information systems (HRIS) in the Australian public sector. In: 20th Australasian Conference on Information Systems, ACIS (2010)Google Scholar
  2. 2.
    Beadles II, N.A., Lowery, C.M., Johns, K.: The impact of human resource information systems: an exploratory study in the public sector. Commun. IIMA 5, 39–46 (2005)Google Scholar
  3. 3.
    Ponduri, S.B.: Quality of human resource information systems at commercial bank of Ethiopia (a case study of dessie district at dessie, Ethiopia). Int. J. Res. 4, 31–41 (2016)Google Scholar
  4. 4.
    Bal, Y., Bozkurt, S., Ertemsir, E.: The importance of using human resources information systems (HRIS) and a research on determining the success of HRIS. In: International Conference (2012)Google Scholar
  5. 5.
    Teo, T.S.H., Lim, G.S., Fedric, S.A.: The adoption and diffusion of human resources information systems in Singapore. Asia Pac. J. Hum. Resour. 45, 44–62 (2007)CrossRefGoogle Scholar
  6. 6.
    Gillet, M., Gillet, P.: SIRH: Système d’Information des Ressources Humaines. Dunod, Paris (2010)zbMATHGoogle Scholar
  7. 7.
    Ophelie, C.: Le Système d’Information des Ressources Humaines au sein des Petites et Moyennes Entreprises. Business Administration, Reims (2012)Google Scholar
  8. 8.
    Becker, B.E., Huselid, M.A., Ulrich, D.: The HR Scorecard: Linking People, Strategy and Performance. Harvard Business School Press, Boston (2001)Google Scholar
  9. 9.
    Ramayah, T.: The Role of Voluntariness in Distance Education Students Usage of a Course Website. Turk. Online J. Educ. Technol. 9, 96–105 (2010)Google Scholar
  10. 10.
    Blount, Y., Castleman, T.: The curious case of missing employee in information systems research. In: 20th Australasian Conference on Information Systems, pp. 300–310. Monash University Australia, Melbourne (2009)Google Scholar
  11. 11.
    Ankrah, E., Sokro, E.: Intention and usage of human resource information systems among ghanaian human resource managers. Int. J. Bus. Manage. 11, 241–248 (2016)CrossRefGoogle Scholar
  12. 12.
    Kemayou Yombia, S.M., Kala Kamdjoug, J.R., Fosso Wamba, S.: Les Facteurs Favorisant l’Acceptation et l’Utilisation des TIC en Entreprise: Cas de la CNPS. AIM (2016)Google Scholar
  13. 13.
    Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)Google Scholar
  14. 14.
    Rahman, M.A., Qi, X., Jinnah, M.S.: Factors affecting the adoption of HRIS by the Bangladeshi banking and financial sector. Cogent Bus. Manage. 3, 1–10 (2016)CrossRefGoogle Scholar
  15. 15.
    Al-Khowaiter, W.A.A., Dwivedi, Y.K., Williams, M.D.: Examining the role of social influence, usefulness and ease of use for determining the mandatory use of a human resource information system in the context of Saudi Ministries. Int. J. Electron. Gov. Res. (IJEGR) 11, 24–42 (2015)CrossRefGoogle Scholar
  16. 16.
    Bazomanza, N.W., Kala Kamdjoug, J.R., Fosso Wamba, S.: Factors adoption of Facebook in the workplace cameroon. In: Twenty-second Americas Conference on Information Systems, pp. 1–10. AIS, San Diego (2016)Google Scholar
  17. 17.
    Fosso Wamba, S., Akter, S.: Impact of perceived connectivity on intention to use social media: modelling the moderation effects of perceived risk and security. In: Dwivedi, Y.K., Mäntymäki, M., Ravishankar, M.N., Janssen, M., Clement, M., Slade, E.L., Rana, N.P., Al-Sharhan, S., Simintiras, A.C. (eds.) I3E 2016. LNCS, vol. 9844, pp. 219–227. Springer, Cham (2016). doi: 10.1007/978-3-319-45234-0_20 Google Scholar
  18. 18.
    Fosso Wamba, S., Akter, S., Ngai, E.W.T., Boughzala, I.: Modelling the impact of perceived connectivity on the intention to use social media: discovering mediating effects and unobserved heterogeneity. In: The 19th Pacific Asia Conference on Information Systems (PACIS 2015), Marina Bay Sands, Singapore (2015)Google Scholar
  19. 19.
    Urbach, S., Mueller, S.: The updated DeLone and McLean model of information systems success. In: Dwivedi, Y.K., Schneberger, S.L. (eds.) Information Systems Theory. Integrated Series in Information Systems, vol. 28, pp. 1–28. Springer, New York (2012)CrossRefGoogle Scholar
  20. 20.
    Nguyen, T.D., Nguyen, T.M., Cao, T.H.: Information systems success: a literature review. In: Dang, T.K., Wagner, R., Küng, J., Thoai, N., Takizawa, M., Neuhold, E. (eds.) FDSE 2015. LNCS, vol. 9446, pp. 242–256. Springer, Cham (2015). doi: 10.1007/978-3-319-26135-5_18 CrossRefGoogle Scholar
  21. 21.
    DeLone, W.H., McLean, E.R.: Information systems success: the quest for the dependent variable. Inf. Syst. Res. 3, 60–95 (1992)CrossRefGoogle Scholar
  22. 22.
    Seddon, P., Kiew, M., Patry, M.: A partial test and development of the DeLone and McLean model of success. In: 15th International Conference on Information Systems, pp. 90–109. AISeL, Vancouver (1994)Google Scholar
  23. 23.
    DeLone, W.H., McLean, E.R.: Information Systems Success. Found. Trends Inf. Syst. 2, 1–116 (2016)CrossRefGoogle Scholar
  24. 24.
    Isaias, P., Issa, T.: Information systems’ models for success assessment. In: High Level Models and Methodologies for Information Systems, pp. 121–140. Springer, New York (2015)Google Scholar
  25. 25.
    Montesdioca, G.P.Z., Maçada, A.C.G.: Quality dimensions of the DeLone-McLean model to measure user satisfaction: an empirical test on the information security context. In: 48th Hawaii International Conference on System Sciences, pp. 5010–5019. IEEE Computer Society, Hawaii (2015)Google Scholar
  26. 26.
    Nassar, D.A., Othman, M., Hayajneh, J.A., Ali, N.: An integrated success model for an electronic health record: a case study of Hakeem Jordan. In: 2nd Global Conference on Business, Economics, Management and Tourism, pp. 95–103. Procedia Economics and Finance, Prague (2015)Google Scholar
  27. 27.
    Haines, V.H., Petit, A.: Conditions for successful human resources information systems. Hum. Resour. Manage. 36, 261–275 (1997)CrossRefGoogle Scholar
  28. 28.
    Ulrich, D.: Human Resource Champions: The Next Agenda for Adding Value and Delivering Results. Harvard Business School Press, Boston (1996)Google Scholar
  29. 29.
    Davarpanah, A., Mohamed, N.: Human resource information systems (HRIS) success factors in a public higher education institution context. In: 3rd International Conference on Research and Innovation in Information Systems (ICRIIS), Kuala Lumpur, pp. 79–84 (2013)Google Scholar
  30. 30.
    Ankrah, E., Sokro, E.: Human resource information system as a strategic tool in human resource management. Probl. Manage. 21st Century 5, 6–15 (2012)Google Scholar
  31. 31.
    Wei, S., Feng, A.: Research on applications on human resource information system in SMEs. In: 2nd International Conference on Science and Social Research (ICSSR), pp. 804–807. Atlantis Press, Beijing (2013)Google Scholar
  32. 32.
    Venkatesh, V., Brown, S.M., Maruping, L.M., Bala, H.: Predicting different conceptualizations of system use: the competing roles of behabioral intention, facilitating conditions, and behavioral expectation. MIS Q. 32, 483–502 (2008)Google Scholar
  33. 33.
    Chin, W.W., Marcolin, B.L., Newsted, P.R.: A partial least squares latent variable modeling approach for measuring interaction effects: results from a monte carlo simulation study and an electronic-mail emotion/adoption study. Inf. Syst. Res. 14, 189–217 (2003)CrossRefGoogle Scholar
  34. 34.
    Hulland, J.: Use of partial least squares in strategic management research: a review of four recent studies. Strateg. Manage. J. 20, 195–204 (1999)CrossRefGoogle Scholar
  35. 35.
    Chin, W.W.: The partial least squares approach for structural equation modeling. In: Marcoulides, G.A. (ed.) Modern Methods for Business Research, vol. 8, pp. 295–336. Lawrence Erlbaum Associates Publishers, Mahwah (1998)Google Scholar
  36. 36.
    Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M.: A Primer on Partial Least Structural Equation Modeling (PLS-SEM). Sage Publications, Thousand Oak (2014)zbMATHGoogle Scholar
  37. 37.
    Fornell, C., Cha, J.: Partial least squares. In: Bagozzi, R.P. (ed.) Advanced Methods of Marketing Research, pp. 52–78. Blackwell, Cambridge (1994)Google Scholar
  38. 38.
    Fornell, C., Larcker, D.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18, 39–50 (1981)CrossRefGoogle Scholar
  39. 39.
    Gefen, D., Straub, D.W., Boudreau, M.C.: Structural equation modeling and regression: guidelines for research practice. Commun. AIS 7, 1–78 (2000)Google Scholar
  40. 40.
    Delone, W., McLean, E.: The DeLone and McLean model of information systems success: a ten-year update. J. Manage. Inf. Syst. 19, 9–30 (2003)Google Scholar
  41. 41.
    Ulrich, D.: Human Resource Champions: the Next Agenda for Adding Value to HR Practices. Harvard Business School Press, Boston (1997)Google Scholar
  42. 42.
    Al-Khowaiter, W.A.A., Dwivedi, Y.K., Williams, M.D.: Examining the factors affecting the adoption and success of human resource information systems in the context of the Kingdom of Saudi Arabia. In: Proceedings of British Academy of Management (BAM) Conference, Cardiff, Wales (2012)Google Scholar
  43. 43.
    Mujeeb, L.: Importance of best human resource management practices and the need for a human resource information system (HRIS) for the public health sector in Sri Lanka. Sri Lanka J. Bio-Med. Inf. 3, 55–68 (2013)Google Scholar
  44. 44.
    Dečman, M.: Understanding technology acceptance of government information systems from employees’ perspective. Int. J. Electron. Gov. Res. (IJEGR) 11, 69–88 (2015)CrossRefGoogle Scholar
  45. 45.
    Khan, A.R., Hasan, N., Rubel, M.: Factors affecting organizations adopting human resource information systems: a study in Bangladesh. J. Bus. Manage. 17, 45–54 (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Fobang Aime Noutsa
    • 1
    Email author
  • Jean Robert Kala Kamdjoug
    • 1
  • Samuel Fosso Wamba
    • 2
  1. 1.GRIAGESCatholic University of Central AfricaYaoundeCameroon
  2. 2.Department of Information ManagementToulouse Business SchoolToulouseFrance

Personalised recommendations