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The effects of communication, empathy, encouragement, growth, and rewards on employee performance: A structural equation modeling approach

  • Yogi Tri Prasetyo*
  • , Jehorom Px Alegre Perez
  • , Ma Janice J. Gumasing
  • , Satria Fadil Persada
  • , Reny Nadlifatin
  • *Corresponding author for this work
  • Yuan Ze University
  • Mapua University
  • Bina Nusantara University

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

BACKGROUND: Improving employee performance has been crucial in different organizations for it reflects the company's product and service quality. OBJECTIVE: The purpose of this study was to determine the factors affecting employee performance in the engineering and technology department in the Philippines during the COVID-19 pandemic. METHODS: The effects of these factors such as communication, empathy, encouragement, growth and rewards to employee performance were analyzed. RESULTS: Structural equation modeling (SEM) revealed that among the five factors, the encouragement, growth, and rewards were found to have a significant effect on employee performance in the engineering and technology department. Surprisingly, communication and empathy were found to have no significant effect to employee performance. CONCLUSIONS: This was the first study that investigated the factors affecting employee performance in the engineering and technology department in the Philippines during the COVID-19 pandemic. The results could serve as a guideline for the management under this type of department. The framework could also be helpful for sustaining the elevated performance of the employees in the engineering and technology department.

Original languageEnglish
Pages (from-to)749-758
Number of pages10
JournalWork
Volume76
Issue number2
DOIs
Publication statusPublished - 19 Oct 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19 pandemic
  • Job design
  • employee satisfaction
  • human resource
  • path analysis

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