2007Applied Mechanics and MaterialsOpen access

An Empirical Study of the Relationship between Business Performance Measures and Environmental and Competitive Strategy Variables

Weiyu Wang, Ye Tian, Hongyi Sun

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Abstract

This paper aims to investigate the relationship among business strategies and business performance in global and local manufacturing companies. The research is based an International Manufacturing Strategy Survey (IMSS2005) of about 700 companies from more than 20 countries. We first proposed a new method to construct a generic measure of business performance from the available performance measures in IMSS. Based on this new measure we developed a simple discriminant analysis to allocate each entry (company in the IMSS) into a particular category of business performance. Of course we performed some statistical tests to confirm the validity of this classification. We then analysed the contribution (importance) of various environmental and competitive variables to each category of the generic business performance in order to identify the most influential variables and notice of their difference among different business performances. This was done intuitively using graphical analysis, but we also carried out statistical tests to confirm that companies at different performance levels do operate at different environments and pay different attentions to competitive strategies. The models we developed are simple but novel and very practical. The results showed significant differences among business performances in terms of influential variables, and we conclude that this method can also be used to analyse other part of the data from the IMSS.

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What this paper is about

This paper aims to investigate the relationship among business strategies and business performance in global and local manufacturing companies. The research is based an International Manufacturing Strategy Survey (IMSS2005) of about 700 companies from more than 20 countries. We first proposed a new method to construct a generic measure of business performance from the available performance measures in IMSS. Based on this new measure we developed a simple discriminant analysis to allocate each entry (company in the IMSS) into a particular category of business performance. Of course we performed some statistical tests to confirm the validity of this classification. We then analysed the contribution (importance) of various environmental and competitive variables to each category of the generic business performance in order to identify the most influential variables and notice of their difference among different business performances. This was done intuitively using graphical analysis, but we also carried out statistical tests to confirm that companies at different performance levels do operate at different environments and pay different attentions to competitive strategies. The models we developed are simple but novel and very practical. The results showed significant differences among business performances in terms of influential variables, and we conclude that this method can also be used to analyse other part of the data from the IMSS.

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Available abstract

This paper aims to investigate the relationship among business strategies and business performance in global and local manufacturing companies. The research is based an International Manufacturing Strategy Survey (IMSS2005) of about 700 companies from more than 20 countries. We first proposed a new method to construct a generic measure of business performance from the available performance measures in IMSS. Based on this new measure we developed a simple discriminant analysis to allocate each entry (company in the IMSS) into a particular category of business performance. Of course we performed some statistical tests to confirm the validity of this classification. We then analysed the contribution (importance) of various environmental and competitive variables to each category of the generic business performance in order to identify the most influential variables and notice of their difference among different business performances. This was done intuitively using graphical analysis, but we also carried out statistical tests to confirm that companies at different performance levels do operate at different environments and pay different attentions to competitive strategies. The models we developed are simple but novel and very practical. The results showed significant differences among business performances in terms of influential variables, and we conclude that this method can also be used to analyse other part of the data from the IMSS.

Key concepts: Notice, Measure (data warehouse), Order (exchange), Construct (python library), Linear discriminant analysis, Competitive advantage, Simple (philosophy), Business

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