IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v7y2020i12p100-108.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-7-issue-12/100-108.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijrsi/archive/volume-vii-issue-xii/#1516125056943-5b330494-56d1
    Download Restriction: no
    ---><---

    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. 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.
    3. Ann-Renée Blais & Elke U. Weber, 2006. "A Domain-Specific Risk-Taking (DOSPERT)Scale for Adult Populations," CIRANO Working Papers 2006s-24, CIRANO.
    4. 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.
    5. repec:cup:judgdm:v:1:y:2006:i::p:33-47 is not listed on IDEAS
    6. 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.
    7. 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.
    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. Juma Aseed Mohamed Buajela & Sadun Naser Yassin Alheety, 2020. "The Effect of Career Commitment on Productivity in The Construction Sector of Libya: A pilot study," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 4(12), pages 351-358, December.
    2. Amit Singh Nayal & Bhupendra Singh & Vrijesh Tripathi & Abhishek Tyagi, 2024. "Analyzing stress-strength reliability $$\delta =\text{ P }[U," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2453-2472, June.
    3. Mazen Nassar & Refah Alotaibi & Ahmed Elshahhat, 2023. "Reliability Estimation of XLindley Constant-Stress Partially Accelerated Life Tests using Progressively Censored Samples," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    4. Shu-Fei Wu & Yu-Lun Huang, 2024. "The Assessment of the Overall Lifetime Performance Index of Chen Products with Multiple Components," Mathematics, MDPI, vol. 12(13), pages 1-21, July.
    5. Park, Sangun & Ng, Hon Keung Tony & Chan, Ping Shing, 2015. "On the Fisher information and design of a flexible progressive censored experiment," Statistics & Probability Letters, Elsevier, vol. 97(C), pages 142-149.
    6. Rui Hua & Wenhao Gui, 2022. "Revisit to progressively Type-II censored competing risks data from Lomax distributions," Journal of Risk and Reliability, , vol. 236(3), pages 377-394, June.
    7. Refah Alotaibi & Mazen Nassar & Hoda Rezk & Ahmed Elshahhat, 2022. "Inferences and Engineering Applications of Alpha Power Weibull Distribution Using Progressive Type-II Censoring," Mathematics, MDPI, vol. 10(16), pages 1-21, August.
    8. Olayan Albalawi & Naresh Chandra Kabdwal & Qazi J. Azhad & Rashi Hora & Basim S. O. Alsaedi, 2022. "Estimation of the Generalized Logarithmic Transformation Exponential Distribution under Progressively Type-II Censored Data with Application to the COVID-19 Mortality Rates," Mathematics, MDPI, vol. 10(7), pages 1-19, March.
    9. Mahdi Teimouri, 2022. "bccp: an R package for life-testing and survival analysis," Computational Statistics, Springer, vol. 37(1), pages 469-489, March.
    10. Wu, Shuo-Jye & Huang, Syuan-Rong, 2017. "Planning two or more level constant-stress accelerated life tests with competing risks," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 1-8.
    11. Bander Al-Zahrani & Areej M. AL-Zaydi, 2022. "Moments of progressively type-II censored order statistics from the complementary exponential geometric distribution and associated inference," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1052-1065, June.
    12. Jonathan J. Rolison & Yaniv Hanoch & Stacey Wood & Pi-Ju Liu, 2014. "Risk-Taking Differences Across the Adult Life Span: A Question of Age and Domain," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(6), pages 870-880.
    13. Amel Abd-El-Monem & Mohamed S. Eliwa & Mahmoud El-Morshedy & Afrah Al-Bossly & Rashad M. EL-Sagheer, 2023. "Statistical Analysis and Theoretical Framework for a Partially Accelerated Life Test Model with Progressive First Failure Censoring Utilizing a Power Hazard Distribution," Mathematics, MDPI, vol. 11(20), pages 1-21, October.
    14. E. M. Almetwally & H. M. Almongy & M. K. Rastogi & M. Ibrahim, 2020. "Maximum Product Spacing Estimation of Weibull Distribution Under Adaptive Type-II Progressive Censoring Schemes," Annals of Data Science, Springer, vol. 7(2), pages 257-279, June.
    15. Xiaojun Zhu & N. Balakrishnan & Helton Saulo, 2019. "On the existence and uniqueness of the maximum likelihood estimates of parameters of Laplace Birnbaum–Saunders distribution based on Type-I, Type-II and hybrid censored samples," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(7), pages 759-778, October.
    16. Refah Alotaibi & Ehab M. Almetwally & Qiuchen Hai & Hoda Rezk, 2022. "Optimal Test Plan of Step Stress Partially Accelerated Life Testing for Alpha Power Inverse Weibull Distribution under Adaptive Progressive Hybrid Censored Data and Different Loss Functions," Mathematics, MDPI, vol. 10(24), pages 1-24, December.
    17. Wenjie Zhang & Wenhao Gui, 2022. "Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II Censoring," Mathematics, MDPI, vol. 10(9), pages 1-21, May.
    18. Devendra Kumar & M. Nassar & Sanku Dey, 2023. "Progressive Type-II Censored Data and Associated Inference with Application Based on Li–Li Rayleigh Distribution," Annals of Data Science, Springer, vol. 10(1), pages 43-71, February.
    19. Kousik Maiti & Suchandan Kayal, 2023. "Estimating Reliability Characteristics of the Log-Logistic Distribution Under Progressive Censoring with Two Applications," Annals of Data Science, Springer, vol. 10(1), pages 89-128, February.
    20. Abhimanyu Singh Yadav & S. K. Singh & Umesh Singh, 2019. "Bayesian estimation of $$R=P[Y," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 905-917, October.

    More about this item

    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:bjc:journl:v:7:y:2020:i:12:p:100-108. 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: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .

    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.