Knowledge that Transforms

AbstractThis paper revisits Frohlich and Westbrook's arcs of integration concept [Arcs of integration: an international study of supply chain strategies. Journal of Operations Management 2001, 19 (2) pp. 185–200]. Using survey responses from 403 supply chain professionals, we compare the arcs of integration group memberships generated with our sample to the original study, rationalize the classification scheme, and assess the impact of supply chain integration strategies on quality, delivery, flexibility and cost performance. In doing so we cross‐validate Frohlich and Westbrook's framework with a more recent and broader sample of data utilizing multi‐dimensional performance measures collected from supply chain managers. We ground these relationships in the relational and resource‐based views of the firm. We also extend Frohlich and Westbrook's study by investigating the moderating role of internal integration on the relationships between arcs of integration and performance. In accordance with information processing theory, the results indicate that internal integration strengthens the positive impacts of external integration on both delivery and flexibility performance. However, the theory is not supported for either quality or cost performance. Overall, our study confirms and extends the work of Frohlich and Westbrook, augments theories used to describe supply chain integration efforts, and provides practical implications for managers.

AbstractThe partial least squares (PLS) approach to structural equation modeling (SEM) has been widely adopted in business research fields such as information systems, consumer behavior, and marketing. The use of PLS in the field of operations management is also growing. However, questions still exist among some operations management researchers regarding whether and how PLS should be used. To address these questions, our study provides a practical guideline for using PLS and uses examples from the operations management literature to demonstrate how the specific points in this guideline can be applied. In addition, our study reviews and summarizes the use of PLS in the recent operations management literature according to our guideline. The main contribution of this study is to present a practical guideline for evaluating and using PLS that is tailored to the operations management field.

AbstractTraditionally, distribution has been viewed as the key (physical) link between a company's internal supply chain activities and its customers. More recently, demand management has emerged as a new dimension at the customer interface. Although it has become increasing popular in industry, it has not yet been analyzed in depth with respect to its impact on supply chain performance. Both distribution management and demand management entail customer‐facing processes and practices and that are interrelated and (may) jointly determine supply chain performance. In this paper we seek to extend the stream of research in supply chain management by systematically investigating the impact of customer‐facing supply chain practices on supply chain performance. Specifically, the paper examines the relative impact of relevant practices associated with demand and distribution management. To this end, we collected data from 116 multi‐national companies based in Europe and analyzed it using structural equation modeling techniques. Our results suggest that (i) high demand management performance has a substantial positive impact on the overall supply chain performance, (ii) this effect is stronger than that of distribution management performance, and (iii) there is no evidence that demand management might be an enabler for effective distribution management. Among the individual practices that constitute demand and distribution management, adherence to the demand and distribution management processes and demand segmentation emerged as the strongest performance levers. Based upon additional in‐depth interviews conducted with selected companies from our sample, we shed light on some of the most important findings that emerged from our survey analysis.

AbstractThe purpose of this study is to examine the associations among different quality management (QM) practices and investigate which QM practices directly or indirectly relate to five types of innovation: radical product, radical process, incremental product, incremental process, and administrative innovation. We test the proposed framework and hypotheses using empirical data from ISO 9001 certified manufacturing and service firms. The results show that a set of QM practices through process management has a positive relationship with all of these five types of innovation. It was found that process management directly and positively relates to incremental, radical, and administrative innovation. Organizational capability to manage processes may play a vital role in identifying routines, establishing a learning base, and supporting innovative activities. The findings also reveal that the value of an individual QM practice is tied to other QM practices. Therefore, highlighting just one or a few QM practices or techniques may not result in creative problem solving and innovation.

AbstractPressure continues to build on the operations management function to facilitate system and firm level benefits. In the online marketplace, one area of growing interest is that of product returns. Though commonly viewed as a cost center from an operations perspective, operations’ actions have the potential to strongly influence future customer buying behavior in several ways. Using an archival database of actual purchase and returns history provided by a moderately sized online retailer, this study examines the relationship between a customer's experience of product returns, and subsequent shopping behavior. Employing transaction cost, consumer risk, and procedural justice theories, we demonstrate that the returns management process, rather than being regarded as an afterthought to the production and deployment of goods, can significantly and positively influence repurchase behavior. Additionally, we provide evidence that certain customers should be considered for prioritization in the returns process. We suggest ways through which operations managers can take care in discharging their responsibilities in this area – to make returns processing more than simply a “necessary cost of doing business” rather, using it to their advantage in engendering repeat and increased purchase behavior.

AbstractDespite the widespread adoption of e‐procurement by firms in recent years, academic research examining the mechanisms through which e‐procurement applications lead to performance has been scarce. Anecdotal evidence points to numerous situations where companies have failed to harness the potential of e‐procurement. In this paper, we argue that online purchase volume and mix flexibilities facilitated by these applications play a significant role in the ability of firms to benefit from e‐procurement. We examine this tenet from both an economic as well as a social perspective. We propose that increased online purchase volume flexibility as well as online purchase mix flexibility can be facilitated by two mechanisms – supplier customization as explained by transaction costs perspective, and information sharing between supply chain partners using a social exchange theoretical perspective. The increased purchase volume and mix flexibility in turn leads to better performance along the dimensions of cost, quality, and delivery. We present and test a nuanced perspective where we argue that (i) the effect of supplier customization on both purchase volume and mix flexibilities will be moderated by the frequency of transactions conducted online, and (ii) the effect of information sharing on both purchase volume and mix flexibilities will be moderated by trust in the supplier. We estimate our research model using survey data collected from 130 purchasing and procurement managers. We find strong support for our proposed research model with results indicating that purchase volume and mix flexibilities play a vital mediating role in impacting e‐procurement performance. Theoretical and practical implications of the findings are discussed.

AbstractThis study presents an analysis exploring how four types of justice (distributive, procedural, interpersonal, and informational) influence dyadic relationship performance in the buyer–supplier context. Underpinned by loose coupling theory, we build a mediating framework in which we propose that a high level of justice (or fairness) as mutually perceived by both parties drives buyer–supplier relationship performance through bolstered coupling links in mutual knowledge sharing, continuous commitment, and relationship investment. Our survey of 216 paired manufacturers (suppliers) and distributors (buyers) in China generally supports this argument, leading to a conclusion that justice is not a direct determinant of buyer–supplier performance but a critical conduit that nourishes mid‐range coupling behaviors, which in turn promotes a successful relationship. Based on findings from this study, firms are encouraged to endorse all four kinds of justice in managing supply chain relationships. However, when constrained by resources, the recommendation for managers is to focus on achieving a high level of perceptual convergence on procedural justice and informational justice with the exchange partner, because mutual perceptions of procedural and informational justice have the strongest effects on coupling behaviors and buyer–supplier relationship performance.

AbstractWe assess the operational impacts of Six Sigma program adoptions through an event study methodology, comparing financial data for 200 Six Sigma adopting firms against data for matched firms, which serve as control groups for the analyses. We employ various matching procedures using different combinations of pre‐adoption return on assets (ROA), industry, and size as matching criteria. By comparing performance outcomes across a hierarchy of operating metrics, we establish a pattern of Six Sigma adoption effects that provides strong evidence of a positive impact on ROA. Interestingly, these ROA improvements arise mostly from significant reductions in indirect costs; significant improvements in direct costs and asset productivity are not evident. We also find small improvements in sales growth due to Six Sigma adoption. Cross‐sectional analyses of the performance results reveal that distinctions in Six Sigma impacts across manufacturing and service firms are negligible. Interestingly, we find that the performance impact of Six Sigma adoption is negatively correlated to the firm's quality system maturity (indicated by prior ISO 9000 certification). Further analyses of manufacturing and service firms reveals that Six Sigma benefits are significantly correlated with intensity in manufacturing, and with financial performance before adoption in services. We discuss the implications of these findings for practice and for future research.

AbstractThis paper theoretically refines and empirically extends the debate on the type of interplay between relational experience and contractual governance in an under‐researched area: supply chain disputes. We define relational experience as either cooperative or competitive; distinguish between control and coordination functions of contractual governance; and assess their interplay on the negotiation strategy used in disputes. Using a unique data set of buyer–supplier disputes, we find, in particular that increasing contractual control governance weakens the positive effect of cooperative relational experience on cooperative negotiation strategy. However, increasing contractual control governance for a buyer–supplier dyad with competitive relational experience will increase cooperative negotiation strategy. Contractual coordination governance reinforces the positive effect of cooperative relational experience. Through this study, we reach a better understanding ofhowandwhencontractual and relational governance dimensions interact; rather thanwhetherthey act as substitutes or complements as has been studied in prior research. We discuss the implications of these findings for the field of supply chain management.

AbstractLogistic activity can be thought of as a socio‐technical process whereby a social network of individuals orchestrates a series of technical activities using supporting systems such as transportation and communications. To understand the functioning of the entire system requires proper consideration of all its components. We identify seven key components: the objectives being pursued, the origin of the commodity flows to be transported, knowledge of demand, the decision‐making structure, periodicity and volume of logistic activities, and the state of the social networks and supporting systems. Based on our analysis of the differences between commercial and humanitarian logistics, we pinpoint research gaps that need to be filled to enhance both the efficiency of humanitarian logistics and the realism of the mathematical models designed to support it.We argue that humanitarian logistics is too broad a field to fit neatly into a single definition of operational conditions. At one end of the spectrum we find humanitarian logistic efforts of the kind conducted in long‐term disaster recovery and humanitarian assistance, where operational efficiency – akin to commercial logistics – is a prime consideration. At the other, post‐disaster humanitarian logistic operations involved in disaster response and short‐term recovery activities represent a vastly different operational environment, often in chaotic settings where urgent needs, life‐or‐death decisions and scarce resources are the norm. The huge contrast between these operational environments requires that they be treated separately.