IDEAS home Printed from https://ideas.repec.org/a/gam/jadmsc/v12y2022i4p143-d948831.html
   My bibliography  Save this article

Employee Performance Measures Appraised by Training and Labor Market: Evidence from the Banking Sector of Germany

Author

Listed:
  • Naveed Ahmad Khan

    (Faculty of Business Administration, Brandenburg University of Technology, 03046 Cottbus, Germany)

  • Andrija Mihoci

    (PREA Group GmbH, 12529 Schönefeld, Germany)

  • Silke Michalk

    (Faculty of Business Administration, Brandenburg University of Technology, 03046 Cottbus, Germany)

  • Kirill Sarachuk

    (Faculty of Business Administration, Brandenburg University of Technology, 03046 Cottbus, Germany)

  • Hafiz Ali Javed

    (International Business School, Teesside University Business School, Middlesbrough TS1 3BX, UK)

Abstract

Our paper examines the impact of training outputs and employment factors on several facets of employee performance while supporting managerial decision-making in the banking sector. First, we introduce four performance measures in individual productivity assessment. Second, three identified groups of covariates are associated with these measures, namely, the training method success, delivery of knowledge, and labor market performance feedback. Based on our empirical results from Germany, we suggest that response-related decisions are accompanying bank employees’ profiles and appraisal. In particular, we form decision-making functions and finally show that the banking industry successfully balances between internal and external factors in optimizing employees’ performance.

Suggested Citation

  • Naveed Ahmad Khan & Andrija Mihoci & Silke Michalk & Kirill Sarachuk & Hafiz Ali Javed, 2022. "Employee Performance Measures Appraised by Training and Labor Market: Evidence from the Banking Sector of Germany," Administrative Sciences, MDPI, vol. 12(4), pages 1-13, October.
    • Handle: RePEc:gam:jadmsc:v:12:y:2022:i:4:p:143-:d:948831
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-3387/12/4/143/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-3387/12/4/143/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marina A. Zavertiaeva & Félix J. López†Iturriaga & Evgeniia V. Kuminova, 2018. "Better innovators or more innovators? Managerial overconfidence and corporate R&D," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 39(4), pages 447-461, June.
    2. Gautam Bose & Kevin Lang, 2017. "Monitoring for Worker Quality," Journal of Labor Economics, University of Chicago Press, vol. 35(3), pages 755-785.
    3. Anders Frederiksen & Lisa B. Kahn & Fabian Lange, 2020. "Supervisors and Performance Management Systems," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2123-2187.
    4. Stefan Bender & Nicholas Bloom & David Card & John Van Reenen & Stefanie Wolter, 2018. "Management Practices, Workforce Selection, and Productivity," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 371-409.
    5. Peter Cappelli & Martin J. Conyon, 2018. "What Do Performance Appraisals Do?," ILR Review, Cornell University, ILR School, vol. 71(1), pages 88-116, January.
    6. Naveed Ahmad Khan & Silke Michalk & Kirill Sarachuk & Hafiz Ali Javed, 2022. "If You Aim Higher Than You Expect, You Could Reach Higher Than You Dream: Leadership and Employee Performance," Economies, MDPI, vol. 10(6), pages 1-13, May.
    7. Joshua D. Pitts & Brent Evans, 2019. "Manager impacts on worker performance in American football: Do offensive coordinators impact quarterback performance in the National Football League?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(1), pages 105-118, January.
    8. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    9. Campbell R. Harvey & Yan Liu, 2016. "Rethinking Performance Evaluation," NBER Working Papers 22134, National Bureau of Economic Research, Inc.
    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. Mitchell Hoffman & Steven Tadelis, 2021. "People Management Skills, Employee Attrition, and Manager Rewards: An Empirical Analysis," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 243-285.
    2. Michael Rivera & Liangfei Qiu & Subodha Kumar & Tony Petrucci, 2021. "Are Traditional Performance Reviews Outdated? An Empirical Analysis on Continuous, Real-Time Feedback in the Workplace," Information Systems Research, INFORMS, vol. 32(2), pages 517-540, June.
    3. Kathrin Manthei & Dirk Sliwka & Timo Vogelsang, 2023. "Talking About Performance or Paying for It? A Field Experiment on Performance Reviews and Incentives," Management Science, INFORMS, vol. 69(4), pages 2198-2216, April.
    4. Abraham, Lisa, 2023. "The gender gap in performance reviews," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 459-492.
    5. Andrew B. Bernard & Emmanuel Dhyne & Glenn Magerman & Kalina Manova & Andreas Moxnes, 2022. "The Origins of Firm Heterogeneity: A Production Network Approach," Journal of Political Economy, University of Chicago Press, vol. 130(7), pages 1765-1804.
    6. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.
    7. James Spletzer & Elizabeth Weber Handwerker, 2015. "The Role of Establishments and the Concentration of Occupations in Wage Inequality," Working Papers id:7427, eSocialSciences.
    8. Bodory, Hugo & Huber, Martin, 2018. "The causalweight package for causal inference in R," FSES Working Papers 493, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    9. Xuan Zhang, 2023. "The impact of digital finance on corporate labor productivity: evidence from Chinese-listed companies," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 527-550, September.
    10. Besstremyannaya, Galina, 2015. "Measuring the effect of health insurance companies on the quality of healthcare systems with kernel and parametric regressions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 3-20.
    11. 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.
    12. Åsa Johansson, 2016. "Public Finance, Economic Growth and Inequality: A Survey of the Evidence," OECD Economics Department Working Papers 1346, OECD Publishing.
    13. Mihails Hazans & Jaan Masso & Per Botolf Maurseth, 2023. "Human values and selection into supervisory positions: Evidence from nine European countries," EGEIWP 01-2023, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Dec 2023.
    14. Ye, Yuxiang & Koch, Steven F., 2021. "Measuring energy poverty in South Africa based on household required energy consumption," Energy Economics, Elsevier, vol. 103(C).
    15. Christopher Cornwell & Ian M. Schmutte & Daniela Scur, 2021. "Building a Productive Workforce: The Role of Structured Management Practices," Management Science, INFORMS, vol. 67(12), pages 7308-7321, December.
    16. Grønborg, Niels S. & Lunde, Asger & Timmermann, Allan & Wermers, Russ, 2021. "Picking funds with confidence," Journal of Financial Economics, Elsevier, vol. 139(1), pages 1-28.
    17. Bonilla, Jorge & Coria, Jessica & Sterner, Thomas, 2012. "Synergies and Trade-offs between Climate and Local Air Pollution: Policies in Sweden," Working Papers in Economics 529, University of Gothenburg, Department of Economics.
    18. Aki Tomizawa & Li Zhao & Geneviève Bassellier & David Ahlstrom, 2020. "Economic growth, innovation, institutions, and the Great Enrichment," Asia Pacific Journal of Management, Springer, vol. 37(1), pages 7-31, March.
    19. Jeffrey Racine, 2015. "Mixed data kernel copulas," Empirical Economics, Springer, vol. 48(1), pages 37-59, February.
    20. repec:diw:diwwpp:dp1187 is not listed on IDEAS
    21. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da & Cerqueira, Pedro A., 2016. "It is windy in Denmark: Does market integration suffer?," Energy, Elsevier, vol. 115(P2), pages 1385-1399.

    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:gam:jadmsc:v:12:y:2022:i:4:p:143-:d:948831. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.