IDEAS home Printed from https://ideas.repec.org/a/eco/journ3/2017-03-25.html
   My bibliography  Save this article

Studying the Relationship between Talent Management and Workforce Productivity in Governmental Organizations of Bam City

Author

Listed:
  • Mehdi Jazini Zadeh

    (Department of Governmental Management, Sirjan Branch, Islamic Azad University, Sirjan, Iran,)

  • Yousuf Ahmadi

    (Department of Governmental Management, Sirjan Branch, Islamic Azad University, Sirjan, Iran.)

Abstract

The purpose of present research is to study the relationship between talent management (TM) and workforce productivity (WP) in governmental organizations of Bam City. The research method is descriptive-correlative and the universe includes all 3249 employees working in governmental organizations of Bam City. The sampling was done through Cochran formula and 344 employees were selected randomly as the sample size. The needed data were collected by means of Armstrong’s TM questionnaire (2006) and WP questionnaire of Hersey and Goldsmith (1980). The obtained data were analyzed by LISREL software and the hypotheses were tested by structural equations. The obtained results confirmed the positive and significant relationship between TM (talent acquisition, development and retaining) and WP.

Suggested Citation

  • Mehdi Jazini Zadeh & Yousuf Ahmadi, 2017. "Studying the Relationship between Talent Management and Workforce Productivity in Governmental Organizations of Bam City," International Review of Management and Marketing, Econjournals, vol. 7(3), pages 196-205.
    • Handle: RePEc:eco:journ3:2017-03-25
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/irmm/article/download/4865/pdf
    Download Restriction: no
    File URL: http://www.econjournals.com/index.php/irmm/article/view/4865/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mark Armstrong, 2006. "Competition in two‐sided markets," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 668-691, September.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. Mostafa Mohamed Ahmed AlKerdawy, 2016. "The Relationship between Human Resource Management Ambidexterity and Talent Management: The Moderating Role of Electronic Human Resource Management," International Business Research, Canadian Center of Science and Education, vol. 9(6), pages 80-94, June.
    4. Günter K. Stahl & Andreas Voigt, 2008. "Do Cultural Differences Matter in Mergers and Acquisitions? A Tentative Model and Examination," Organization Science, INFORMS, vol. 19(1), pages 160-176, February.
    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. Navío-Marco, Julio & Solórzano-García, Marta & Matilla-García, Mariano & Urueña, Alberto, 2016. "Language as a key factor of long-term value creation in mergers and acquisitions in the telecommunications sector," Telecommunications Policy, Elsevier, vol. 40(10), pages 1052-1063.
    2. Jingtao Yi & Jinqiu He & Lihong Yang, 2019. "Platform heterogeneity, platform governance and complementors’ product performance: an empirical study of the mobile application industry," Frontiers of Business Research in China, Springer, vol. 13(1), pages 1-20, December.
    3. khan, ifrah & Fatima, Tahreem & khan, Azam & ali, Umaid, 2020. "Understanding impulse purchased in facebook commerce-does big five matter?," MPRA Paper 104622, University Library of Munich, Germany, revised 2020.
    4. Cristiano Codagnone & Fabienne Abadie & Federico Biagi, 2016. "The Future of Work in the ‘Sharing Economy’. Market Efficiency and Equitable Opportunities or Unfair Precarisation?," JRC Research Reports JRC101280, Joint Research Centre.
    5. Rahman, Shaikh Moksadur, 2020. "Relationship between Job Satisfaction and Turnover Intention: Evidence from Bangladesh," Asian Business Review, Asian Business Consortium, vol. 10(2), pages 99-108.
    6. Wang Kai, 2019. "Towards a Taxonomy of Idea Generation Techniques," Foundations of Management, Sciendo, vol. 11(1), pages 65-80, January.
    7. Bridgelall, Raj & Stubbing, Edward, 2021. "Forecasting the effects of autonomous vehicles on land use," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    8. Bevilacqua, Maurizio & Ciarapica, Filippo Emanuele, 2018. "Human factor risk management in the process industry: A case study," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 149-159.
    9. Naveena Prakasam & Louisa Huxtable-Thomas, 2021. "Reddit: Affordances as an Enabler for Shifting Loyalties," Information Systems Frontiers, Springer, vol. 23(3), pages 723-751, June.
    10. Nagler Matthew G., 2007. "Understanding the Internet's Relevance to Media Ownership Policy: A Model of Too Many Choices," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, June.
    11. Colin Jerolmack & Alexandra K. Murphy, 2019. "The Ethical Dilemmas and Social Scientific Trade-offs of Masking in Ethnography," Sociological Methods & Research, , vol. 48(4), pages 801-827, November.
    12. Valeriy Makarov & Albert Bakhtizin, 2014. "The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 9-30.
    13. Hui Zhang & Kai Luo & Guanqun Ni, 2022. "The effects of price subsidy and fairness concern on pricing and benefits of take-away supply chain," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1106-1124, July.
    14. Martin Peitz & Sven Rady & Piers Trepper, 2017. "Experimentation in Two-Sided Markets," Journal of the European Economic Association, European Economic Association, vol. 15(1), pages 128-172.
    15. Zhao, Jing & Knoop, Victor L. & Wang, Meng, 2020. "Two-dimensional vehicular movement modelling at intersections based on optimal control," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 1-22.
    16. Kristine Edgar Danielyan & Samvel Grigoriy Chailyan, 2019. "Delineation of Effectors Impact on The Human Brain Derived Phosphoribosylpyrophosphate Synthetase-1 Activity," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(1), pages 17918-17926, December.
    17. Chuan Wang & Yupeng Liu & Wen Hou & Chao Yu & Guorong Wang & Yuyan Zheng, 2021. "Reliability and availability modeling of Subsea Autonomous High Integrity Pressure Protection System with partial stroke test by Dynamic Bayesian," Journal of Risk and Reliability, , vol. 235(2), pages 268-281, April.
    18. Mohammad AL-Zoubi, 2018. "The Role of Technology, Organization, and Environment Factors in Enterprise Resource Planning Implementation Success in Jordan," International Business Research, Canadian Center of Science and Education, vol. 11(8), pages 48-65, August.
    19. Ye, Silin & Zhou, Jing & Jiang, Yunwen & Liu, Xiaming, 2023. "Managers as the bridge: How cultural friction influences the integration of cross-border mergers and acquisitions," International Business Review, Elsevier, vol. 32(4).
    20. Schweizer, Lars & Patzelt, Holger, 2012. "Employee commitment in the post-acquisition integration process: The effect of integration speed and leadership," Scandinavian Journal of Management, Elsevier, vol. 28(4), pages 298-310.

    More about this item

    Keywords

    Productivity; Talent Management; Talent Acquisition; Talent Development; Talent Retaining;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:journ3:2017-03-25. 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.