This research analyzes the effects of common method variance (CMV) on parameter estimates in bivariate linear, multivariate linear, quadratic, and interaction regression models. The authors demonstrate that CMV can either inflate or deflate bivariate linear relationships, depending on the degree of symmetry with which CMV affects the observed measures. With respect to multivariate linear relationships, they show that common method bias generally decreases when additional independent variables suffering from CMV are included in a regression equation. Finally, they demonstrate that quadratic and interaction effects cannot be artifacts of CMV. On the contrary, both quadratic and interaction terms can be severely deflated through CMV, making them more difficult to detect through statistical means.

This paper describes the development and analysis of a numerical taxonomy of manufacturing strategies. The taxonomy was developed with standard methods of cluster analysis, and is based on the relative importance attached to eleven competitive capabilities defining the manufacturing task of 164 large American manufacturing business units. Three distinct clusters of manufacturing strategy groups were observed. Though there is an industry effect, all three manufacturing strategy types are observed in various industries. The two main dimensions along which the manufacturing strategy groups differ are the ability of the firms in them to differentiate themselves from competition with their products and services, and the scope of their product lines and markets. A general method for mapping manufacturing strategies on these dimensions is described. For each manufacturing group, the relationships between the competitive capabilities (which describe the manufacturing task), the business context (the business unit strategy), manufacturing activities (manufacturing strategy choices), and manufacturing performance measures are explored and compared.manufacturing, strategy, taxonomy, typology

In this paper, we expand upon recent research by Frohlich and Westbrook [J. Operations Manage. 19 (2) (2001) 185] that characterizes the influence of supply chain integration on performance. Introducing supply chain integration intensity as a proxy variable for Frohlich and Westbrook’s [J. Operations Manage. 19 (2) (2001) 185] ‘outward‐facing supply chain strategy’, we investigate the ways that manufacturing‐based competitive capabilities mediate the relationship between supply chain integration and business performance. While previous research suggests that supply chain integration is directly related to superior business performance, the mediating role of manufacturing capabilities has not been explored. Using hierarchical regression analysis, we develop and test a theory‐based model using a sample of consumer products manufacturers. Contrary to Frohlich and Westbrook’s [J. Operations Manage. 19 (2) (2001) 185] assertions regarding the applicability of the ‘outward‐facing strategy’ to the consumer goods sector, our results provide empirical evidence that supply chain integration intensity leads directly to improved business performance, thus corroborating the conventional wisdom concerning the increasing importance of supply chain integration in the consumer products sector. In addition, this study uncovers empirical evidence for the mediating role of manufacturing‐based competitive capabilities in supply chain management. These results support the growing call for a broader, more generalized view of manufacturing strategy.