IDEAS home Printed from
   My bibliography  Save this article

Forecasting Employees’ Success at Work in Banking: Could Psychological Testing Be Used as the Crystal Ball?


  • Mirjana Pejic Bach

    (University of Zagreb, Croatia)

  • Natalija Simic

    (Siemens, Croatia)

  • Marjana Merkac

    (Faculty of Business and Commercial Sciences, Slovenia)


Human resources have nowadays been recognized as one of the most important key competitive advantages of organizations. Human resources management deals with the recruitment, selection and training of the best candidates for a particular job position. Although training has significant influence on the performance of employees, recruitment and selection still remain the crucial steps. The goal of the paper is to explore if special characteristics of candidates for employment in the banking industry could be used for predicting their future success at work. Real-life data from a Croatian bank’s employee database are used for analysis, with the total sample of 1659 candidates tested for the purpose of employment. Results of the multiple regression analysis indicate that the following characteristics are important at forecasting an employee’s success at work in the banking sector: cognitive ability, reasoning, dominance, social boldness, sensitivity, openness to change, warmth, and emotional stability. Therefore, as the best practice for recruitment, the use of the Profile of a Quality Candidate in Banking is proposed.

Suggested Citation

  • Mirjana Pejic Bach & Natalija Simic & Marjana Merkac, 2013. "Forecasting Employees’ Success at Work in Banking: Could Psychological Testing Be Used as the Crystal Ball?," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 11(3 (Fall)), pages 283-299.
  • Handle: RePEc:mgt:youmgt:v:11:y:2013:i:3:p:283-299

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. J.P. Singh & S. K. Goyal, 2005. "Indian Agricultural and Processed Food Products," Foreign Trade Review, , vol. 40(1), pages 49-69, April.
    2. Francesco Aiello, 1999. "The Stabilisation of LDCs' Export Earnings. The impact of the EU STABEX programme," International Review of Applied Economics, Taylor & Francis Journals, vol. 13(1), pages 71-85.
    3. Maniklal Adhikary & Shrabanti Maity, 2011. "India's coffee exports in the scenario of WTO: an analysis trend and structural shift," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 3(6), pages 684-704.
    4. Sinha, D., 1999. "Export Instability, Investment and Economic Growth in Asian Countries: A Time Series Analysis," Papers 799, Yale - Economic Growth Center.
    Full references (including those not matched with items on IDEAS)

    More about this item


    recruitment; psychology testing; data mining; cognitive ability tests; personality traits tests;

    JEL classification:

    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access


    Access and download statistics


    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:mgt:youmgt:v:11:y:2013:i:3:p:283-299. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alen Jezovnik). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.