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It is widely argued that competition is no longer between organizations, but among supply chains. Effective supply chain management (SCM) has become a potentially valuable way of securing competitive advantage and improving organizational performance. This research conceptualizes, develops, and validates six dimensions of SCM practices (strategic supplier partnership, customer relationship, information sharing, information quality, internal lean practices, and postponement). Data for the study were collected from 196 organizations and the measurement scales were tested and validated using structural equation modeling. It is hoped that this study will provide a parsimonious measurement instrument to assess the performance of the overall supply chain. #

In this paper the class of ARCH$(\infty)$ models is generalized to the nonstationary class of ARCH$(\infty)$ models with time-varying coefficients. For fixed time points, a stationary approximation is given leading to the notation ``locally stationary ARCH$(\infty)$ process.'' The asymptotic properties of weighted quasi-likelihood estimators of time-varying ARCH$(p)$ processes ($p<\infty$) are studied, including asymptotic normality. In particular, the extra bias due to nonstationarity of the process is investigated. Moreover, a Taylor expansion of the nonstationary ARCH process in terms of stationary processes is given and it is proved that the time-varying ARCH process can be written as a time-varying Volterra series.Comment: Published at http://dx.doi.org/10.1214/009053606000000227 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

Increasingly, the global market environment is becoming more turbulent, complex and uncertain. Literature has explored the importance of supply management and its direct impact on performance. However, the nature of strategic supply management and its impact on supply flexibility needs further clarification in the context of the use of supplier resources and supplier network coordination. This research presents a model of supply management, supply flexibility and supply chain performance. In this study, we examine the relationships between supply management and supply flexibility, and extend the concept of supply flexibility in terms of supplier flexibility and supply network flexibility on relevant supply chain performance measures. Data for the study were collected from 201 manufacturing firms, and the measurement scales of supply flexibility were tested and validated using structural equation modeling. The results indicate strong, positive and direct relationships between supply management practices and supply flexibility, and between supply flexibility and supply chain performance. Concluding theoretical and managerial implications are discussed.

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