IDEAS home Printed from https://ideas.repec.org/a/aaw/grrjrn/v1y2016i1p114-131.html
   My bibliography  Save this article

Employee Engagement and High Performance Work System: An Empirical Study

Author

Listed:
  • Lubna Abbassi

    (Ph.D Scholar, National Defence University, Islamabad, Pakistan.)

  • Muhammad Zia-ur Rehman

    (Assistant Professor,Department of Leadership & Management Studies, National Defence University, Islamabad, Pakistan.)

  • Yasmine Muhammad Javaid Iqbal

    (Lecturer, Department of Leadership & Management Studies,National Defence University, Islamabad, Pakistan.)

Abstract

In the competitive working environment, organizations and researchers have focused their attention to highlight means and ways to gain more advantage on less resource consumption; hence more focus is paid on channelizing Human Resource Practices to gain maximum return on Investment. The data is collected from the banking sector of Pakistan from a sample of 400 employees. The theme is to analyze the association among the variables at a multi-level i.e. the data is collected from two pools of respondents, one the staff level employees and the second are the middle management employees using an adapted questionnaire comprising of two sections for each pool respectively. Reliability test, correlation analysis and Regression analysis is conducted on the data. The findings of the result supports the positive association of independent variable with dependent variables (department and employee level measures of HPWS). The study sets implications for HR Professionals, Policy makers and Strategic thinkers.

Suggested Citation

  • Lubna Abbassi & Muhammad Zia-ur Rehman & Yasmine Muhammad Javaid Iqbal, 2016. "Employee Engagement and High Performance Work System: An Empirical Study," Global Regional Review, Humanity Only, vol. 1(1), pages 114-131, June.
  • Handle: RePEc:aaw:grrjrn:v:1:y:2016:i:1:p:114-131
    DOI: 10.31703/grr.2016(I-I).09
    as

    Download full text from publisher

    File URL: https://grrjournal.com/jadmin/Auther/31rvIolA2LALJouq9hkR/oY9uUOLzD4.pdf
    Download Restriction: no

    File URL: https://www.grrjournal.com/issue/Employee-Engagement-and-High-Performance-Work-System-An-Empirical-Study
    Download Restriction: no

    File URL: https://libkey.io/10.31703/grr.2016(I-I).09?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. W. Brian Arthur, 1992. "On Learning and Adaptation in the Economy," Working Paper 854, Economics Department, Queen's University.
    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. Emmanuel Oppong Peprah, 2020. "The Impact Of High-Performance Work Systems On Employee Engagement: The Moderating Role Of Organizational Justice," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 10(4), pages 5-22, December.

    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. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    2. Rosemarie Nagel & Nicolaas J. Vriend, 1999. "An experimental study of adaptive behavior in an oligopolistic market game," Journal of Evolutionary Economics, Springer, vol. 9(1), pages 27-65.
    3. Guse, Eran A., 2010. "Heterogeneous expectations, adaptive learning, and evolutionary dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 74(1-2), pages 42-57, May.
    4. Scott C. Linn & Nicholas S. P. Tay, 2007. "Complexity and the Character of Stock Returns: Empirical Evidence and a Model of Asset Prices Based on Complex Investor Learning," Management Science, INFORMS, vol. 53(7), pages 1165-1180, July.
    5. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive Microfoundations for Emergent Macroeconomics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 441-463.
    6. Ramon Marimon & Ellen McGrattan, 1993. "On adaptive learning in strategic games," Economics Working Papers 24, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Gans, Joshua S., 1995. "Evolutionary selection of beliefs," Economics Letters, Elsevier, vol. 49(1), pages 13-17, July.
    8. J. Stan Metcalfe, 1995. "The Design of Order. Notes on Evolutionary Principles and the Dynamics of Innovation," Revue Économique, Programme National Persée, vol. 46(6), pages 1561-1583.
    9. Shareen Joshi & Mark A. Bedau, 1998. "An Explanation of Generic Behavior in an Evolving Financial Market," Research in Economics 98-12-114e, Santa Fe Institute.
    10. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    11. W. Brian Arthur & John H. Holland & Blake LeBaron & Richard Palmer & Paul Taylor, 1996. "Asset Pricing Under Endogenous Expectation in an Artificial Stock Market," Working Papers 96-12-093, Santa Fe Institute.
    12. Skouras, Spyros, 2001. "Financial returns and efficiency as seen by an artificial technical analyst," Journal of Economic Dynamics and Control, Elsevier, vol. 25(1-2), pages 213-244, January.
    13. Shu-Heng Chan & Shu G. Wang, 2010. "Emergent Complexity in Agent-Based Computational Economics," ASSRU Discussion Papers 1017, ASSRU - Algorithmic Social Science Research Unit.
    14. Tay, Nicholas S. P. & Linn, Scott C., 2001. "Fuzzy inductive reasoning, expectation formation and the behavior of security prices," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 321-361, March.
    15. Michael Kampouridis & Shu-Heng Chen & Edward Tsang, 2012. "Microstructure Dynamics And Agent-Based Financial Markets: Can Dinosaurs Return?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    16. Beltrametti, Luca & Fiorentini, Riccardo & Marengo, Luigi & Tamborini, Roberto, 1997. "A learning-to-forecast experiment on the foreign exchange market with a classifier system," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1543-1575, June.
    17. Nicolaas J. Vriend, 2002. "Was Hayek an Ace?," Southern Economic Journal, John Wiley & Sons, vol. 68(4), pages 811-840, April.
    18. Shu‐Heng Chen & Shu G. Wang, 2011. "Emergent Complexity In Agent‐Based Computational Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(3), pages 527-546, July.
    19. Nicolaas J. Vriend, 2002. "Was Hayek an Ace?," Southern Economic Journal, John Wiley & Sons, vol. 68(4), pages 811-840, April.
    20. Wilson, James & Hill, J. & Kersula, M. & Wilson, C.L. & Whitsel, L. & Yan, L. & Acheson, J. & Chen, Y. & Cleaver, C. & Congdon, C. & Hayden, A. & Hayes, P. & Johnson, T. & Morehead, G. & Steneck, R. &, 2013. "Costly information and the evolution of self-organization in a small, complex economy," Journal of Economic Behavior & Organization, Elsevier, vol. 90(S), pages 76-93.

    More about this item

    Keywords

    Employee engagement; HPWS; Commitment; Competitive Market; Performance;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:aaw:grrjrn:v:1:y:2016:i:1:p:114-131. 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: M Imran Khan (email available below). General contact details of provider: http://www.humanityonly.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.