The Influence of Corporate Social Responsibility, Workplace Spirituality, and Positive Emotion on the Peripheral Performance of Employees

Authors

  • Wei Li Institute of Science Innovation and Culture, Rajamangala University of Technology Krungthep, Thailand
  • Surachai Traiwannakij Institute of Science Innovation and Culture, Rajamangala University of Technology Krungthep, Thailand

DOI:

https://doi.org/10.33830/isbest.v4i1.3406

Keywords:

Corporate Social Responsibility (CSR), Workplace Spirituality, Positive Emotions, Peripheral Performance of Employees

Abstract

Modern enterprises compete separately from talent competition. Employees are a crucial part of the corporate talent pool, and their key role in the rapid development of enterprises cannot be underestimated. Therefore, this study aims to explore evaluating corporate social responsibility (CSR) from the employee perspective to reflect employees' subjective feelings about their company and better understand their changing needs. This study's core variables include Corporate Social Responsibility, Workplace Spirituality, Positive Emotion, and Peripheral Performance of Employees. The Quantitative Method is introduced in this study. Descriptive statistics such as frequency, percent frequency, mean, and standard deviation are introduced. Various inferential statistical methods are used to test the hypothesis, particularly the Independent Samples t-test, the One-way ANOVA, and the Multiple Linear Regression analysis. The results obtained from the study indicate that differences in Occupation and Working Position generate differences in Employee Peripheral Performance. Based on the multiple linear regression analysis, all aspects of corporate social responsibility (CSR) and workplace spirituality positively impact employee peripheral performance. For Positive Emotion, the Simple Linear Regression Analysis reveals that it positively impacts Employee Peripheral Performance. All independent factors except demographic factors positively impacted employee peripheral performance under the multiple linear regression analysis.

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Published

2024-11-13