TQM and environmental uncertainty levels: Profiles, fit, and firm performance

Stephen C. H. Ng (First Author), Xiande Zhao (Participant Author), Johnny M. Rungtusanatham (Participant Author), Albena Ivanova (Participant Author)

Research output: Contribution to journalJournal

6 Citations (Web of Science)


That a manufacturer should align its implementation of Total Quality Management (TQM) to the external environment it faces has been indirectly argued for long. Theoretical and empirical evidence for this argument has, unfortunately, been lacking. Our research remedies this knowledge gap. Borrowing structural contingency theory and the concept of fit, we hypothesised and report three findings. First, we found contrasting normative TQM profiles between a high vs. a low level of environmental uncertainty. Second, we identified significant detrimental impact on firm performance when a firm deviates its TQM implementation from the normative TQM profile prescribed for a specific level of environmental uncertainty. Third, we also discovered discernible differences in the deterioration in firm performance between a positive vs. a negative deviation from the normative TQM profile. These robust findings were derived from analysing secondary survey data from 330 Chinese manufacturing firms via profile deviation analysis, MANOVA, MANCOVA and OLS regression. Contrary to the literature, manufacturers operating in a volatile external environment should pursue and benefit from TQM implementation. Manufacturers should, however, not seek to implement TQM to the fullest extent nor implement TQM half-heartedly. Instead, manufacturers should benchmark best performers as to what the normative TQM profile is and pursue their own TQM implementation to minimise deviations from the normative TQM profile.
Original languageEnglish
Pages (from-to)4266-4286
JournalInternational Journal of Production Research
Issue number4
Publication statusPublished - 2015

Corresponding author email



  • TQM
  • environmental uncertainty
  • fit
  • multivariate analysis
  • profile deviation analysis

Indexed by

  • ABDC-A
  • SCIE
  • Scopus
  • SCI


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