As global supply chains compete in an increasingly complex and rapidly changing business environment, supply chain responsiveness has become a highly prized capability. To increase responsiveness, supply chain managers often seek information that provides greater visibility into factors affecting both demand and supply. Managers often claim, however, that they are awash in data yet lacking in valuable information. Taken together, these conditions suggest that supply chain visibility is a necessary, but insufficient capability for enabling supply chain responsiveness. Based on organizational information processing theory, we posit that a supply chain organization's internal integration competence provides complementary information processing capabilities required to yield expected responsiveness from greater supply chain visibility. An analysis of data from 206 firms strongly supports this hypothesis. For supply chain managers, these findings indicate that a strategy for achieving supply chain responsiveness requires a dual‐pronged approach that aligns increased visibility with extensive information processing capabilities from internal integration. For researchers, this study provides an initial examination of visibility as a construct, and extends a growing literature addressing integration as an information processing capability.

Purpose -This paper aims to advocate and facilitate undertaking research focused on the effects of human behaviour, judgment and decision making in logistics and supply chain management (SCM). Design/methodology/approach -In addition to providing an overview of the potential benefits of behavioural research, this paper presents two modified frameworks for identifying and addressing behavioural issues in logistics and SCM. Findings -Behavioural research can significantly advance both theory and practice in logistics and SCM. Little behavioural research appears in top logistics journals. As researchers begin to conduct more such projects, knowledge pertaining to issues of importance to logistics and SCM will be created. Originality/value -This paper highlights an important research area and a methodology, (controlled behavioural experiments), that are currently underutilized in logistics and SCM. It further presents potential research questions and suggestions for ways in which interested researchers could begin to address such issues.

Purpose -The purpose of this paper is to provide a review of inventory management articles published in major logistics outlets, identify themes from the literature and provide future direction for inventory management research to be published in logistics journals. Design/methodology/approach -Articles published in major logistics articles, beginning in 1976, which contribute to the inventory management literature are reviewed and cataloged. The articles are segmented based on major themes extracted from the literature as well as key assumptions made by the particular inventory management model. Findings -Two major themes are found to emerge from logistics research focused on inventory management. First, logistics researchers have focused considerable attention on integrating traditional logistics decisions, such as transportation and warehousing, with inventory management decisions, using traditional inventory control models. Second, logistics researchers have more recently focused on examining inventory management through collaborative models. Originality/value -This paper catalogs the inventory management articles published in the major logistics journals, facilitates the awareness and appreciation of such work, and stands to guide future inventory management research by highlighting gaps and unexplored topics in the extant literature.

The risk created by government policymaking can be daunting, but little is known about the extent to which this risk is disruptive to business in general and to supply chain operations in particular. Because government is a powerful and omnipresent entity, scholars and executives alike could benefit from greater understanding of how firms react to risk emanating from the policymaking process. To help address this gap, we use resource dependence theory to develop hypotheses concerning the accumulation of inventory by firms to buffer against their exposure to potential policy changes and how such a link might be moderated by macro‐level and industry‐level factors. Data from 19,634 firm‐year observations reveal that firms accumulate more inventory as a buffer against policy risk under conditions of high policy uncertainty and high industry dynamism. Overall, our findings support the predictions of resource dependence theory and refine understanding of supply chain responses to macro‐level uncertainty by demonstrating the contingent influence of government policy. In doing so, our study provides a foundation for future research to explore the intersections between government actions and supply chain activities and offers insights for managers and policymakers about how to factor government into their decision calculi.

Public policy and associated governmental regulatory issues play critical roles in shaping the practice of supply chain management (SCM). To date, however, these issues remain largely unexplored by SCM researchers. This article makes the case that such issues are highly relevant to the field of SCM, and that SCM researchers are uniquely positioned to speak to the issues by virtue of the foundational principles and levels of analysis that define our discipline. The discussion provides suggestions and examples of how fruitful research might be conducted in this space.

PurposeThe success of a supply chain is highly reliant on effective inventory and ordering decisions. This paper systematically reviews and analyzes the literature on inventory ordering decisions conducted using behavioral experiments to inform the state-of-the-art.Design/methodology/approachThis paper presents the first systematic review of this literature. We systematically identify a body of 101 papers from an initial pool of over 12,000.FindingsExtant literature and industry observations posit that decision makers often deviate from optimal ordering behavior prescribed by the quantitative models. Such deviations are often accompanied by excessive inventory costs and/or lost sales. Understanding how humans make inventory decisions is paramount to minimize the associated consequences. To address this, the field of behavioral operations management has produced a rich body of research on inventory decision-making using behavioral experiments. Our analysis identifies primary research clusters, summarizes key learnings and highlights opportunities for future research in this critical decision-making area.Practical implicationsThe findings will have a significant impact on future research on behavioral inventory ordering decisions while informing practitioners to reach better ordering decisions.Originality/valuePrevious systematic reviews have explored behavioral operations broadly or its subdisciplines such as judgmental forecasting. This paper presents a systematic review that specifically investigates the state-of-the-art of inventory ordering decisions using behavioral experiments.

Previous experimental research demonstrates that inefficient replenishment decision making in the supply chain can be caused by specific judgment and decision biases. Based on the literature we use controlled experiments involving both student subjects and supply chain managers to test debiasing interventions that provide declarative knowledge, which is theorized to enhance the acquisition of procedural knowledge. We first investigate the effects of three debiasing components in a single‐echelon setting: knowledge of bullwhip, inventory position (IP), and use of a target order‐up‐to quantity. Experiment 1 (N = 1,608 decisions by 67 student subjects) using a 2 × 2 × 2 factorial design for the three components finds that the conceptual understanding of IP is salient for efficient replenishment decisions. We next examine the effects of the components in a simulated, multi‐echelon, serial supply chain, which introduces the additional complexity of coordination risk. Experiment 2 (N = 3,072 decisions by 128 student subjects) using a 2 × 2 × 2 factorial design finds that although subjects benefit from training components, there is evidence of cognitive overload with an increased quantity of information. Finally we test whether these debiasing components may be an effective training program for practicing supply chain managers who can be expected to have higher levels of procedural knowledge through experience gained in the field. Experiment 3 (N = 864 decisions by 36 supply chain managers) using a 2 × 1 design investigates the effects of an instructional training intervention which includes all three debiasing components and finds the intervention to reduce costs by 14%. We provide avenues for future research and successful practice.

T he provision of outstanding delivery service is increasingly critical for retailers engaged in e-commerce. As a result, many are interested in switching from their existing carrier to one that is more highly capable in order to better serve their customers. In making this switch, the retailer faces a dilemma: Better carriers cost more, so they will either have to accept a reduction in profit or increase the shipping charge to their customers. While research shows that shoppers recognize certain carriers as superior-and both theory and empirical evidence suggest that people are willing to accept certain cost-justified increases to what they are charged in a transaction-studies also show that online shoppers loathe shipping charges. Thus, what is an e-retailer to do? Through a series of vignette experiments, we examine the question of how online shoppers respond to a shipping charge increase when the retailer switches to a more highly perceived delivery carrier. Our findings show that shoppers are not particularly accepting of the switch, and while they are not likely to complain, resulting purchase intentions are notably low. Alternative strategies for implementing the carrier switch are also explored.