Suchergebnisse

PurposeThe research first and uniquely explores the antecedent relationship among three highly studied environmental forces – competitive intensity (CI), market turbulence (MT) and technological turbulence (TT) – in a service context. Next, given the importance of services to the USA and global gross domestic product (GDP) and the unique characteristics of services versus product firms, the research examines the impact of environmental forces on innovation speed capability, a less studied but critical enabler of service innovation. Finally, this study aims to suggest the importance of the sequential relationship between two dynamic capabilities – innovation speed and operational flexibility – to realize advantage.Design/methodology/approachThis study surveyed 264 US service firms in a business to business context and tested this research model using structural equation modeling.FindingsThe results yielded three major conclusions: in a service context when examining the relationship among the three environmental forces, CI appears to have the driving influence on MT and TT, MT, however, was the only environmental force that this study found to bare positive and significant direct influence on innovation speed. Looking at the zero-order effect of MT and TT on innovation speed this study found each to be positive and significant suggesting a negative suppression effect and innovation speed's influence on performance relative to competitors is fully mediated by operational flexibility.Originality/valueThe paper contributes to context, as service firms represent the majority of the USA and global GDP. This study extends the literature on the highly studied environmental forces (MT, TT and CI) by examining how they influence each other in an antecedent role and in service context. This study extends service literature by going beyond the influence of environmental forces on innovation to examine the dynamic capability of innovation speed, suggested as uniquely important to service context and distinct from the more highly studied innovation construct. The study also extends prior research in the manufacturing (product) context that suggests the importance of sequential congruence between two critical dynamic capabilities – innovation speed and operational flexibility – necessary to deliver competitive advantage.

Purpose
This paper aims to develop and test a model of buyer–supplier relational investment that links supply chain integration (SCI) to supplier flexibility performance (SFLEX) advantages in different manufacturing environments. Relational stability (RS) and information quality (IQL) are viewed as key indicators of intermediating commitment investments in supplier relationships to help support supplier accommodations for special requests for order flexibility. The model is applied to investigate the relative importance of manufacturer relational investments with suppliers in both make-to-stock (MTS) and make-to-order (MTO) production environments.


Design/methodology/approach
A survey of 206 US manufacturing firms was used to test the proposed research model using structural equation modeling and multiple-group analysis techniques.


Findings
Social exchange investments in relationship stability and information quality are found to fully mediate the positive performance relationship between supply chain integration and supplier flexibility performance for manufacturers. However, the relative importance of each form of investment in enhancing supplier flexibility performance varies based on the buyer's (manufacturer's) order fulfillment environment (make-to-stock versus make-to-order).


Originality/value
The proposed model may assist manufacturers make more informed relational exchange investments and supply chain configuration decisions that most conducive to enhancing supplier flexibility performance for different production environments.