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The Impact of Career Risk on Productivity in The Construction Sector of Libya: A pilot study

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  • Juma Aseed Mohamed Buajela

    (Department of Management, Al-Madina International University, Kualalumpur-Malaysia)

  • Sadun Naser Yassin Alheety

    (Department of Management, Al-Madina International University, Kualalumpur-Malaysia)

Abstract

The Construction sector impacts virtually all aspects of our lives – home, leisure, school, and workplace. The construction is an integral part of creating and maintaining an acceptable standard of living in Libya, yet the Construction sector faces extraordinary health and safety challenges. Construction employees are paying dearly for the opportunity to earn a living. These challenges and the means to meet these challenges need attention. Libya is being one of the developing countries and its different Construction sectors are substantial components of the economy. Although the Libyan construction sector rapidly grew and developed rapidly, they still face challenges that affect their competitiveness. The purpose of the current study is to evaluate Career Risk on Productivity in The Construction Sector of Libya as A pilot study. The context of this study was the construction industries in Libya. A total of 40 responses from employees were drawn from construction firms in Libya. This was achieved using a probability type sampling in which stratified random sampling was applied. The quantitative method has been selected using the empirical study with a designed questionnaire comprised of 38 questions and involved 40 respondents comprising of the Administrative, Construction worker, and Supervisors. The data analysis is divided into three phases: initial data analysis – the pilot study, statistical analysis to develop a model and to test the study hypothesis. All stages of data analysis use the method of Structural equation modelling. The results showed that Career Risk is not significantly at the level of 0.05, the p-value is .719 which is greater than .05. Therefore, a hypothesis which assumes Career Risk has a positive impact on Organizational Productivity was rejected. The most implication for this study, Theoretically, the main drive of this investigation was to evaluate Career Risk on Productivity in The Construction Sector of Libya. Human resource management literature shows a link between Career Risk and organizational productivity. One of the most important recommendations of the study since Career Risk was an international notion besides requires to be considered for further investigations throughout a great amount of broader environmental well as researched within the scope of a greater and more comprehensive populace, it is recommended to future researchers to gather data from other research contexts, and to some other industries so that hidden variables can be identified as well as a comparative analysis can be carried out.

Suggested Citation

  • Juma Aseed Mohamed Buajela & Sadun Naser Yassin Alheety, 2020. "The Impact of Career Risk on Productivity in The Construction Sector of Libya: A pilot study," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 7(12), pages 100-108, December.
    • Handle: RePEc:bjc:journl:v:7:y:2020:i:12:p:100-108
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    References listed on IDEAS

    as
    1. Oriana Bandiera & Iwan Barankay & Imran Rasul, 2007. "Incentives for Managers and Inequality among Workers: Evidence from a Firm-Level Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(2), pages 729-773.
    2. Nigel Nicholson & Emma Soane & Mark Fenton-O'Creevy & Paul Willman, 2005. "Personality and domain-specific risk taking," Journal of Risk Research, Taylor & Francis Journals, vol. 8(2), pages 157-176, March.
    3. N. Balakrishnan, 2007. "Rejoinder on: Progressive censoring methodology: an appraisal," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(2), pages 290-296, August.
    4. repec:cup:judgdm:v:1:y:2006:i::p:33-47 is not listed on IDEAS
    5. N. Balakrishnan, 2007. "Progressive censoring methodology: an appraisal," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(2), pages 211-259, August.
    6. Ann-Renée Blais & Elke U. Weber, 2006. "A Domain-Specific Risk-Taking (DOSPERT)Scale for Adult Populations," CIRANO Working Papers 2006s-24, CIRANO.
    7. D. Zeng & D. Y. Lin, 2007. "Maximum likelihood estimation in semiparametric regression models with censored data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(4), pages 507-564, September.
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