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Employee Performance at Workplace: Conceptual Model and Empirical Validation

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  • Rabindra Kumar Pradhan
  • Lalatendu Kesari Jena

Abstract

The present study explores the concomitant areas for extending the scope of employee performance as a major domain of human resource (HR) effectiveness. We have interviewed researchers and corporate practitioners regarding their understanding of performance at workplace. On the basis of literature and feedback from academicians and industry professionals, a conceptual framework along with 42-item instrument on employee performance was proposed for empirical validation. The instrument obtained empirical views from experts on its proposed dimensions and statements. The initial analysis of content validity ratio (CVR) of the instrument had resulted in 38 items having CVR value of 0.49 and above with 75 percent acceptability from expert analysis. The retained items were taken for field survey. In total, 361 executives from Indian manufacturing and service organizations responded to the 38-item employee performance scale. Exploratory factor analysis revealed three distinct factors of employee performance that constitute the new scale: task performance, adaptive performance, and contextual performance (TAC). Reliability study on the sample reported significant internal consistency on the total scale ( a = 0.80) along with the three subscales ( a ranging from 0.80 to 0.91). The prescribed framework offers an inclusive understanding of the nature and subtleties of employee performance. It is proposed that, HR managers and organizational behavior (OB) practitioners must use the insights from the explored factors to create and maintain a better work environment. In applied perspective, the proposed instrument and its corresponding findings are expected to provide insights for designing organization-specific policies for improving employee performance.

Suggested Citation

  • Rabindra Kumar Pradhan & Lalatendu Kesari Jena, 2017. "Employee Performance at Workplace: Conceptual Model and Empirical Validation," Business Perspectives and Research, , vol. 5(1), pages 69-85, January.
  • Handle: RePEc:sae:busper:v:5:y:2017:i:1:p:69-85
    DOI: 10.1177/2278533716671630
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    References listed on IDEAS

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    1. Camerer, Colin F & Hogarth, Robin M, 1999. "The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 7-42, December.
    2. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    3. Smith, Vernon L, 1991. "Rational Choice: The Contrast between Economics and Psychology," Journal of Political Economy, University of Chicago Press, vol. 99(4), pages 877-897, August.
    4. Fahri Karakas, 2010. "Spirituality and Performance in Organizations: A Literature Review," Journal of Business Ethics, Springer, vol. 94(1), pages 89-106, June.
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    Cited by:

    1. Garima Sharma & Pravin Kumar, 2021. "An Analysis of Causal Relationships Among the Factors Affecting the Performance of a Service Organization," SAGE Open, , vol. 11(1), pages 21582440219, March.
    2. Shaker H. Alnawfleh, 2020. "Effect of Training and Development on Employee Performance in the Aqaba Special Economic Zone Authority," Journal of Business & Management (COES&RJ-JBM), , vol. 8(1), pages 20-34, January.
    3. Zuleima Santalla-Banderali & Jesús M. Alvarado, 2022. "Incidence of Leader–Member Exchange Quality, Communication Satisfaction, and Employee Work Engagement on Self-Evaluated Work Performance," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    4. Rushdi Zaiter & Rabih El Kabbout & Mahnoud Koabaz & Ahmad Skaiky & Mohamad Zalghout & Ali Msheik, 2021. "Implementing Total Quality management practices and Employee Performance: Sanita - Lebanon," Technium Social Sciences Journal, Technium Science, vol. 24(1), pages 538-548, October.
    5. Nasser Saad Al Kahtani & Sulphey M. M., 2022. "A Study on How Psychological Capital, Social Capital, Workplace Wellbeing, and Employee Engagement Relate to Task Performance," SAGE Open, , vol. 12(2), pages 21582440221, May.
    6. Rabindra Kumar Pradhan & Madhusmita Panda, 2021. "Human Resource Empowerment: Development and Validation of a Measurement Tool," Global Business Review, International Management Institute, vol. 22(4), pages 1019-1037, August.
    7. repec:thr:techub:10024:y:2021:i:1:p:538-548 is not listed on IDEAS
    8. Živilė Stankevičiūtė & Eglė Staniškienė & Joana Ramanauskaitė, 2021. "The Impact of Job Insecurity on Organisational Citizenship Behaviour and Task Performance: Evidence from Robotised Furniture Sector Companies," IJERPH, MDPI, vol. 18(2), pages 1-17, January.
    9. Zinka Kosec & Stella Sekulic & Susan Wilson-Gahan & Katja Rostohar & Matej Tusak & Marta Bon, 2022. "Correlation between Employee Performance, Well-Being, Job Satisfaction, and Life Satisfaction in Sedentary Jobs in Slovenian Enterprises," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
    10. Thomas Dolmark & Osama Sohaib & Ghassan Beydoun & Kai Wu, 2021. "The Effect of Individual’s Technological Belief and Usage on Their Absorptive Capacity towards Their Learning Behaviour in Learning Environment," Sustainability, MDPI, vol. 13(2), pages 1-17, January.

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