A hierarchical model for quality management systems in global organizations

Author:

Bashan Aviva,Notea Amos

Abstract

Purpose The purpose of this paper is to analyze the operations of the quality management systems (QMS) in multinational companies, and develop a framework for classifying the QMS features based on the global operational and marketing structures arising from their expansion process. This paper is based on doctoral research conducted at the Department of Statistics, University of Haifa, Israel in 2007–2015. Design/methodology/approach This study used the innovative approach of adopting a systems perspective in analyzing the operation of a global QMS. In total 18 multinational companies at different levels of global expansion were studied in depth using observations, longitudinal studies, content analyses and depth interviews. Findings The result of this study is the global hierarchical model (GHM) that presents a classification of representative global operational and marketing structures deriving from the expansion process of multinational companies, and the extrapolated features of the respective global QMS. Practical implications This classification serves as a diagnostic tool for identifying the proper globalization level of a QMS, thereby helping plan global quality strategy and identifying the steps necessary for its effective implementation. Originality/value This research seeks to fill a lacuna in the field of global quality system development with regard to modes of competition and challenge. Integration of strategic, operational and marketing rationales into the QMS’s processes augments the functional level of management and supports the development of a strategy for global quality management that is derived from and supports the company’s global strategy.

Publisher

Emerald

Subject

Strategy and Management,General Business, Management and Accounting

Reference28 articles.

1. Resource allocation for strategic quality management: a goal programming approach;International Journal of Quality & Reliability Management,2012

2. Methodological fit in management field research;Academy of Management Review,2007

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