IDEAS home Printed from https://ideas.repec.org/a/eco/journ3/2016-04-42.html
   My bibliography  Save this article

Human Resources Performance Measurement Approaches Compared to Measures Used in Master’s Theses in Applied Science University

Author

Listed:
  • Saeed Hameed Aldulaimi

    (College of Administrative Sciences, Applied Science University, Manama, Kingdom of Bahrain,)

  • Mohammad Abdul Qadir Obeidat

    (College of Commerce and Business, Administration Dhofar University, Sultanate of Oman)

Abstract

The purpose of this paper is to identify the required factors that can be considered necessary in conceptualizing the features of human resource (HR) performance measurement system appropriate in the modern organizational setting. This study raises this question: What is the reality of current research in measuring HR performance in Applied Science University (ASU) compared to the measures used in literature of HR studies? The paper uses a systematic approach in reviewing and examining existing HR measures used in Master’s theses in ASU in comparison with the measures developed in literature, consequently tracing process has been made to the researches that focused on the HR performance from 2011 to 2015. Furthermore, citation analysis was used to gather the well-known models in measuring HR performance, and summarize the variables or dimensions utilized for this purpose. The outcomes of this review contribute to and update existing literature on HR measures in two ways: Identification of gaps in terms of practical usefulness and academic research, suggestions of solutions in the form of a conceptual framework to improve measurement and HR performance measurement using the correct variables, and recommendation of a direction for future research with regard to using the right variables based on research theory and purpose. This study targeted one university to discover the use of methods to measure HR performance. This study has several implications: It underscores the critical academic role in enhancing HR performance measures in research and professional. HR performance measurement should be aligned with valid theories and practices. To assist researchers to look at most of the models related to HR performance measurement tools gathered in one study and choose the applicable one which lead to achieve the research objectives. This is a seminar paper that defines the measuring attributes of HR performance for the conceptualization of a workable framework of the features of HR

Suggested Citation

  • Saeed Hameed Aldulaimi & Mohammad Abdul Qadir Obeidat, 2016. "Human Resources Performance Measurement Approaches Compared to Measures Used in Master’s Theses in Applied Science University," International Review of Management and Marketing, Econjournals, vol. 6(4), pages 958-963.
    • Handle: RePEc:eco:journ3:2016-04-42
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/irmm/article/download/3223/pdf
    Download Restriction: no
    File URL: http://www.econjournals.com/index.php/irmm/article/view/3223/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel Cohen & Marcelo Soto, 2007. "Growth and human capital: good data, good results," Journal of Economic Growth, Springer, vol. 12(1), pages 51-76, 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. Castelló-Climent, Amparo & Mukhopadhyay, Abhiroop, 2013. "Mass education or a minority well educated elite in the process of growth: The case of India," Journal of Development Economics, Elsevier, vol. 105(C), pages 303-320.
    2. Władysław Welfe, 2008. "A Knowledge-Based Economy: New Directions of Macromodelling," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(2), pages 167-180, May.
    3. Frederic, DOCQUIER & B. Lindsay, LOWELL & Abdeslam, MARFOUK, 2007. "A gendered assessment of the brain drain," Discussion Papers (ECON - Département des Sciences Economiques) 2007045, Université catholique de Louvain, Département des Sciences Economiques.
    4. Marconi, G. & de Grip, A., 2014. "Education and growth with learning by doing," ROA Research Memorandum 010, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    5. Oasis Kodila-Tedika & Simplice A. Asongu, 2015. "The Effect of Intelligence on Financial Development: A Cross-Country Comparison," Research Africa Network Working Papers 15/002, Research Africa Network (RAN).
    6. Rosés, Joan R., 2008. "Proximate causes of economic growth in Spain, 1850-2000," IFCS - Working Papers in Economic History.WH wp08-12, Universidad Carlos III de Madrid. Instituto Figuerola.
    7. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    8. ?gel de la Fuente, "undated". "Convergence Across Countries And Regions: Theory And Empirics," UFAE and IAE Working Papers 447.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    9. Jesús Crespo Cuaresma & Wolfgang Lutz & Warren Sanderson, 2014. "Is the Demographic Dividend an Education Dividend?," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 299-315, February.
    10. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    11. Carolina Arteaga Cabrales, 2011. "Human Capital Externalities and Growth," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(66), pages 12-47, December.
    12. repec:pri:rpdevs:vogl_family_size is not listed on IDEAS
    13. Åsa Johansson, 2016. "Public Finance, Economic Growth and Inequality: A Survey of the Evidence," OECD Economics Department Working Papers 1346, OECD Publishing.
    14. Olivera, Javier & Andreoli, Francesco & Leist, Anja K. & Chauvel, Louis, 2018. "Inequality in old age cognition across the world," Economics & Human Biology, Elsevier, vol. 29(C), pages 179-188.
    15. Jamison, Eliot A. & Jamison, Dean T. & Hanushek, Eric A., 2007. "The effects of education quality on income growth and mortality decline," Economics of Education Review, Elsevier, vol. 26(6), pages 771-788, December.
    16. Jac C Heckelman & Benjamin Powell, 2010. "Corruption and the Institutional Environment for Growth," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 52(3), pages 351-378, September.
    17. Szirmai, Adam & Verspagen, Bart, 2015. "Manufacturing and economic growth in developing countries, 1950–2005," Structural Change and Economic Dynamics, Elsevier, vol. 34(C), pages 46-59.
    18. Kong, Dongmin & Zhang, Bohui & Zhang, Jian, 2022. "Higher education and corporate innovation," Journal of Corporate Finance, Elsevier, vol. 72(C).
    19. Altinok, Nadir & Aydemir, Abdurrahman, 2017. "Does one size fit all? The impact of cognitive skills on economic growth," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 176-190.
    20. Iñaki Permanyer & Diederik Boertien, 2019. "A century of change in global education variability and gender differences in education," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-22, February.
    21. Peter Huber & Julia Bock-Schappelwein, 2013. "The Impact of Migration Policy on Migrants’ Education Structure: Evidence from Austrian Policy Reform," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 1, pages 1-21, March.

    More about this item

    Keywords

    Human Resource; Human Resource Performance; Measurement;
    All these keywords.

    JEL classification:

    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:eco:journ3:2016-04-42. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.