Sadao Sakakibara

TL;DR: An emergent theory of quality management is proposed and links it to the literature, and a set of reliable and valid scales was developed that may be used by other researchers for hypothesis testing and by practitioners for assessing quality management practices in their plants and for internal and external benchmarking.

TL;DR: In this article, the authors discuss the need for more research in operations management which is based on data from the real world, and provide a starting point that encourages operations management researchers to use empirical data and provides a systematic approach for conducting empirical studies.

TL;DR: A framework was constructed that focuses on both core quality management practices and on the infrastructure that creates an environment supportive of their use and incorporates two measures of quality performance and their role in establishing and sustaining a competitive advantage.

TL;DR: In this article, the use of total quality management (TQM) practices wilt improve just-in-time (JIT) performance through process variance reduction and reduced rework time.

TL;DR: In this article, the authors considered Just-in-Time JIT to be an overall organizational phenomenon and developed and tested a model that includes both JIT practices and the infrastructure practices hypothesized to provide an environment in which JIT practice perform more effectively.