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Human Skills Evaluation to Improve Production Performance: Case of a Company in the Cosmetics Sector

  • Khalil TlibaEmail author
  • Thierno M. L. Diallo
  • Olivia Penas
  • Noureddine Ben Yahia
  • Jean-Yves Choley
Conference paper
  • 66 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Human resource skills have a significant impact on the production systems performance and competitiveness of companies. In fact, many companies are aware of the human potential in their development, to improve their overall performance and to cope with global economic and technological changes. Hence the need for any company to assess its staff potential and to put into place relevant training plans becomes a crucial challenge, in order to meet its current and future needs. Employees’ competencies assessment includes all the activities related to the planning, monitoring, evaluation, recognition and development of individual work performance. In this paper, we present a method to evaluate the human performance based on the job and skills management, in order to improve industrial performance. This assessment relates to the analysis of the data and information gathered from surveys of employees working in a company’s cosmetic production departments.

Keywords

Industrial performance Knowledge and skills assessment Continuous improvement 

Notes

Acknowledgements

This work was financially supported by the “PHC Utique” program of the French Ministry of Foreign Affairs and Ministry of higher education and research and the Tunisian Ministry of higher education and scientific research in the CMCU project number 19G1127.

References

  1. 1.
    Ahmad N, Lodhi MS, Zaman K, Naseem I (2017) Knowledge management: a gateway for organizational performance. J Knowl Econ 8:859–876.  https://doi.org/10.1007/s13132-015-0282-3CrossRefGoogle Scholar
  2. 2.
    Ahn J-H, Chang S-G (2004) Assessing the contribution of knowledge to business performance: the KP3 methodology. Decis Support Syst Knowl Manag Tech 36:403–416.  https://doi.org/10.1016/S0167-9236(03)00029-0CrossRefGoogle Scholar
  3. 3.
    Alavi M, Leidner DE (2001) Review: knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Q 25:107–136.  https://doi.org/10.2307/3250961CrossRefGoogle Scholar
  4. 4.
    Bontis N (2001) Assessing knowledge assets: a review of the models used to measure intellectual capital. Int J Manag Rev 3:41–60.  https://doi.org/10.1111/1468-2370.00053CrossRefGoogle Scholar
  5. 5.
    Bontis N, Dragonetti NC, Jacobsen K, Roos G (1999) The knowledge toolbox: a review of the tools available to measure and manage intangible resources. Eur Manag J 17:391–402.  https://doi.org/10.1016/S0263-2373(99)00019-5CrossRefGoogle Scholar
  6. 6.
    Chang Lee K, Lee S, Kang IW (2005) KMPI: measuring knowledge management performance. Inf Manag 42:469–482.  https://doi.org/10.1016/j.im.2004.02.003CrossRefGoogle Scholar
  7. 7.
    Chen AP, Chen MY (2005) A review of survey research in knowledge management performance measurement: 1995–2004. In: Proceedings of I-KNOW, pp 87–95Google Scholar
  8. 8.
    Chin K-S, Lo K-C, Leung JPF (2010) Development of user-satisfaction-based knowledge management performance measurement system with evidential reasoning approach. Expert Syst Appl 37:366–382.  https://doi.org/10.1016/j.eswa.2009.05.051CrossRefGoogle Scholar
  9. 9.
    Costa V, Monteiro S (2016) Key knowledge management processes for innovation: a systematic literature review. VINE J Inf Knowl Manag Syst 46:386–410.  https://doi.org/10.1108/VJIKMS-02-2015-0017CrossRefGoogle Scholar
  10. 10.
    Edvinsson L (1997) Developing intellectual capital at Skandia. Long Range Plann 30:366–373.  https://doi.org/10.1016/S0024-6301(97)90248-XCrossRefGoogle Scholar
  11. 11.
    Goh SC (2002) Managing effective knowledge transfer: an integrative framework and some practice implications. J Knowl Manag 6:23–30.  https://doi.org/10.1108/13673270210417664CrossRefGoogle Scholar
  12. 12.
    Grant RM (1996) Toward a knowledge-based theory of the firm. Strateg Manag J 17:109–122.  https://doi.org/10.1002/smj.4250171110CrossRefGoogle Scholar
  13. 13.
    Gupta B, Iyer LS, Aronson JE (2013) Knowledge management: practices and challenges. Manag Data Syst, Ind.  https://doi.org/10.1108/02635570010273018CrossRefGoogle Scholar
  14. 14.
    Haldin-Herrgard T (2000) Difficulties in diffusion of tacit knowledge in organizations. J Intellect Cap 1:357–365.  https://doi.org/10.1108/14691930010359252CrossRefGoogle Scholar
  15. 15.
    Heisig P (2009) Harmonisation of knowledge management—comparing 160 KM frameworks around the globe. J Knowl Manag 13:4–31.  https://doi.org/10.1108/13673270910971798CrossRefGoogle Scholar
  16. 16.
    Inkinen H (2016) Review of empirical research on knowledge management practices and firm performance. J Knowl Manag 20:230–257.  https://doi.org/10.1108/JKM-09-2015-0336CrossRefGoogle Scholar
  17. 17.
    Iskandar K, Jambak MI, Kosala R, Prabowo H (2017) Current issue on knowledge management system for future research: a systematic literature review. Proc Comput Sci 116:68–80.  https://doi.org/10.1016/j.procs.2017.10.011CrossRefGoogle Scholar
  18. 18.
    ISO (2015) ISO 9001:2015, Quality management systems—requirementsGoogle Scholar
  19. 19.
    ISO (2015) ISO 9000:2015, Quality management systems—fundamentals and vocabularyGoogle Scholar
  20. 20.
    Kaplan RS, Kaplan RS, Norton DP, Norton DP (1996) The balanced scorecard: translating strategy into action. Harvard Business PressGoogle Scholar
  21. 21.
    Kianto A, Andreeva T (2012) Does knowledge management really matter? Linking knowledge management practices, competitiveness and economic performance. J Knowl Manag 16:617–636.  https://doi.org/10.1108/13673271211246185CrossRefGoogle Scholar
  22. 22.
    Kuah CT, Wong KY (2011) Knowledge management performance measurement: a review. Afr J Bus Manag 5:6021–6027.  https://doi.org/10.5897/AJBM10.1091CrossRefGoogle Scholar
  23. 23.
    Liao S (2003) Knowledge management technologies and applications—literature review from 1995 to 2002. Expert Syst Appl 25:155–164CrossRefGoogle Scholar
  24. 24.
    Mardani A, Nikoosokhan S, Moradi M, Doustar M (2018) The relationship between knowledge management and innovation performance. J High Technol Manag Res 29:12–26.  https://doi.org/10.1016/j.hitech.2018.04.002CrossRefGoogle Scholar
  25. 25.
    Mills AM, Smith TA (2011) Knowledge management and organizational performance: a decomposed view. J Knowl Manag 15:156–171.  https://doi.org/10.1108/13673271111108756CrossRefGoogle Scholar
  26. 26.
    Nonaka I (1994) A dynamic theory of organizational knowledge creation. Organ Sci 5:14–37.  https://doi.org/10.1287/orsc.5.1.14CrossRefGoogle Scholar
  27. 27.
    Saint-Onge H (1996) Tacit knowledge the key to the strategic alignment of intellectual capital. Plan Rev 24:10–16.  https://doi.org/10.1108/eb054547CrossRefGoogle Scholar
  28. 28.
    Wong KY, Tan LP, Lee CS, Wong WP (2015) Knowledge management performance measurement: measures, approaches, trends and future directions. Inf Dev 31:239–257.  https://doi.org/10.1177/0266666913513278CrossRefGoogle Scholar
  29. 29.
    Yang J, Chyi Lee C (2000) Knowledge value chain. J Manag Dev 19:783–794.  https://doi.org/10.1108/02621710010378228CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Khalil Tliba
    • 1
    • 2
    Email author
  • Thierno M. L. Diallo
    • 2
  • Olivia Penas
    • 2
  • Noureddine Ben Yahia
    • 1
  • Jean-Yves Choley
    • 2
  1. 1.Université de Tunis-ENSIT Laboratoire de Mécanique, Productique et Energétique (LR18ES01)TunisTunisie
  2. 2.Supméca - Institut Supérieur de Mécanique de Paris, Laboratoire QUARTZ (EA 7393)ParisFrance

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