The Role of Change Readiness in Determining Existing Relationship Between TQM Practices and Employee Performance

Timothy Laseinde, Ifetayo Oluwafemi, Jan Harm Pretorius, O. Ajayi Makinde, Jesusetemi Oluwafemi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

The significance of Total Quality Management (TQM) in fast changing industries such as the Information Technology (IT) sector cannot be overemphasized. The study was designed to determine the existing relationship between employee performance and Total Quality Management practices within a technological driven sector. Coupled with this, employee willingness to change and Individual Change Readiness (ICR) were explored while considering employee performance. Quantitative study of Software firms in Nigeria was carried out using descriptive statistical method, and the results were subjected to correlation analysis and structural equation modeling, for the data analysis. From the results, it is seen that TQM practices, as well as ICR, serve as a considerable benchmark for measuring employee performance. The findings observed favors the facilitative function of ICR. These observations are critical so long the degree of employee’s readiness to change contributes immensely to organizational transformation. This study contributes to the body of knowledge by revealing the significance of ICR from a TQM perspective as it influences employee performance.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019
EditorsTareq Ahram
PublisherSpringer Verlag
Pages508-522
Number of pages15
ISBN (Print)9783030204532
DOIs
Publication statusPublished - 2020
EventAHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019 - Washington D.C., United States
Duration: 24 Jul 201928 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume965
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019
Country/TerritoryUnited States
CityWashington D.C.
Period24/07/1928/07/19

Keywords

  • Job satisfaction
  • Productivity
  • Quality management
  • Satisfaction
  • Work environment

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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