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A Comparative Study Using Two SEM Techniques on Different Samples Sizes for Determining Factors of Older Employee’s Motivation and Satisfaction

Author

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  • Maja Rožman

    (Faculty of Economics and Business, University of Maribor, 2000 Maribor, Slovenia)

  • Polona Tominc

    (Faculty of Economics and Business, University of Maribor, 2000 Maribor, Slovenia)

  • Borut Milfelner

    (Faculty of Economics and Business, University of Maribor, 2000 Maribor, Slovenia)

Abstract

The purpose of this article is to present the relationships among older employee stress, motivation, satisfaction, and relationships in the workplace using two different approaches and different sample sizes. Research was implemented on an initial sample of 1013 older employees. In the next step, six smaller samples were calculated using the random selection of cases, namely samples with 25, 50, 100, 250, 400, and 500 older employees. This way the possible impact of sample size on relationships between latent variables using the covariance-based structural equation modeling (CB-SEM) and the partial least squares structural equation modeling (PLS-SEM) methods was assessed. The results on the larger samples have proved to be quite robust since they were confirmed with both approaches. They indicate that stress has a strong and negative impact on employee relationships and also a negative impact on employee satisfaction. Furthermore, employee relationships have a strong and positive impact on satisfaction and a positive impact on employee motivation. In addition, satisfaction has a strong and positive impact on employee motivation. The present paper helps readers to better understand the difference between the CB-SEM and the PLS-SEM methods. Researchers should be encouraged to use both techniques, even though CB-SEM methods have had a long tradition in management and marketing research since both fields heavily rely on psychometric measurement. From the organizational point of view, conclusions highlight the importance of the impact the variables of older employee stress, motivation, satisfaction and employee relations have on each other in the workplace.

Suggested Citation

  • Maja Rožman & Polona Tominc & Borut Milfelner, 2020. "A Comparative Study Using Two SEM Techniques on Different Samples Sizes for Determining Factors of Older Employee’s Motivation and Satisfaction," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2189-:d:331510
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    References listed on IDEAS

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    1. Anitha J., 2014. "Determinants of employee engagement and their impact on employee performance," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(3), pages 308-323, April.
    2. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    3. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
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    2. Eugenia Țigan & Radu Lucian Blaga & Florin-Lucian Isac & Monica Lungu & Ioana Anda Milin & Florin Tripa & Simona Gavrilaș, 2022. "Analysis of Sustainable Communication Patterns during the Telework Period in Western Romanian Corporations," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    3. Paula Andrea Rodríguez-Correa & Sebastián Franco-Castaño & Jonathan Bermúdez-Hernández & Alejandro Valencia-Arias & José Manuel Barandiarán-Gamarra, 2023. "Attitudinal Factors Associated with the Use of Bicycles and Electric Scooters," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    4. Afzal Izzaz Zahari & Dewi Izzwi Abdul Manan & Norhayati Mohamed & Jamaliah Said, 2023. "Impact of Dynamic Leadership and Marketing Planning on Organizational Resilience During Covid-19: Higher Learning Institutions," SAGE Open, , vol. 13(4), pages 21582440231, November.
    5. Nobuki Hashiguchi & Shintaro Sengoku & Yasushi Kubota & Shigeo Kitahara & Yeongjoo Lim & Kota Kodama, 2020. "Age-Dependent Influence of Intrinsic and Extrinsic Motivations on Construction Worker Performance," IJERPH, MDPI, vol. 18(1), pages 1-21, December.

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