Journal of Purchasing and Supply Management最新文献

This paper investigates how buyers assess the importance of various attributes of supply chain sustainability disclosed by suppliers. These include different types of disclosure (i.e., product, process, and sourcing network), self- and third-party verified disclosure, partial and full disclosure, as well as the attributes associated with information disclosure using blockchain technology: immutability and update frequency. Building on concepts in signalling theory and inter-organisational trust, our research uses a choice-based conjoint experimental design to elicit responses from 234 managers with decision-making roles in procurement. Using this design, we calculate the relative importance of attributes, part-worth utility, and marginal willingness to pay, and test hypotheses about buyer preferences and willingness to pay. Our research reveals that buyers prefer suppliers with sustainability signals that span across different types of disclosure and methods of disclosure. It emphasises the importance of how sustainability information is disclosed, highlighting buyer trust in self-disclosure and a preference for comprehensive, regularly updated information. However, we find mixed results for buyers' willingness to pay. For instance, buyers prefer third-party verified supply chain transparency, but we do not find a significantly higher willingness to pay for such information compared to self-disclosure. The implications suggest a competitive advantage for suppliers adopting voluntary disclosure, prioritising disclosure based on buyer preferences, and recognising the limited direct impact of blockchain technology. Our research contributes to advancing our understanding of information disclosure in supply chain transparency and presents new avenues of inquiry into the value of blockchain-enabled platforms in supply chain sustainability reporting.

Small and medium enterprises (SMEs) play a crucial role in the transition to circular economy (CE). The CE transition for lithium-ion batteries (LIBs) with a focus on manufacturing SMEs underpins this research, which explores the potential barriers to implementing a CE business model. Barriers to CE transition are a growing research area, and this study makes two key contributions to the literature. First, we explore the interactions between different barriers to CE transition. Second, we do this through an in-depth case study of a small enterprise at the center of the electrification and mobility ecosystem that specializes in high-voltage batteries for special vehicles. Our results show that barriers related to the regulatory framework, market structure, actors and their attitudes, structure, technology, and tools hinder CE transition. Moreover, the interactions between these barriers keep the system unbalanced by reinforcing loops and making CE transition more challenging.

The circular economy (CE) model has recently emerged and been practiced by many firms due to pressure for desirability of sustainability. It is important for researchers and practitioners to understand the effects of firms' CE actions on their own and their supply chain partners' financial performance to better implement CE practices. However, existing literature has not analyzed the impact of firms' CE actions from a holistic supply chain framework to find how a firm's CE actions affect its supply chain partners' financial performance. In this study, we investigate this issue from the stakeholder theory perspective with empirical evidence from the China Stock Market and Accounting Research database and the Chinese Research Data Services Platform database for 2006–2021 to perform regressions. Our findings suggest a firm's CE actions have both a positive direct effect to improve its own financial performance and a spillover effect to enhance its partners' (i.e., suppliers' and customers') financial performance. Additionally, a higher supply chain concentration level strengthens the CE direct effect. Further, we find a positive moderating influence of industry competition on stimulating the CE direct effect and its positive moderating effect on the spillover effect of downstream customers' CE efforts on the financial performance of the focal firms. Our findings urge firms to implement and encourage their partners to make CE efforts to enhance their financial performance. Firms should also strengthen centralized purchasing and supply with downstream partners to utilize the amplified CE efforts' effect, particularly when they face fierce competition.

While prior literature suggests that firms can rely on suppliers and buyers for external resources to overcome constrained internal resource problems and thus fuel circular economy (CE) performance, scholars also argue that such dependency can lead to power imbalances, which will compromise operations. Drawing on resource dependence theory (RDT), we investigated how the degree of dependence of focal firms on suppliers and customers affects their CE performance. In addition, the study proposes digitization capability as a boundary condition for these relationships, given that the literature has repeatedly highlighted the critical role of digitization capability in supply chain relationship management. Employing hierarchical linear modeling on a panel dataset of listed Chinese manufacturers during 2010–2020, we found that the more dependent a firm is on its major suppliers and customers (the higher the supplier and customer concentrations), the worse its CE performance. In addition, we utilized data mining techniques to capture manufacturers' digitalization capabilities. We examined how digitalization empowers manufacturers to alleviate power imbalances in supply chain dependencies. Our results suggest that the manufacturers’ digitalization capability significantly weakens the negative impacts of supplier and customer concentrations on CE performance. Overall, this study contributes to the RDT and relationship management literature by highlighting the dark side of supplier and customer concentrations and introducing digitalization capability as a strategic response. These findings provide practical implications for managing the supplier and customer base in pursuing CE performance.

Public procurement of goods and services accounts for a significant portion of government budgets. Among contracts awarded annually by the United States federal government, a disproportionate amount of total spend is given to a relatively small number of contractor firms, many of whom have committed government contract misconduct in the past. We leverage insights from the contracting literature and organizational learning theory to understand the relationship between past contract misconduct and the likelihood of a subsequent contract misconduct violation, along with contextual factors that could influence this relationship. Using composite misconduct data captured from a longitudinal dataset of United States Department of Justice (DOJ) public procurement, a probit regression analysis reveals that firms with a history of government contract misconduct violations are increasingly likely to commit a subsequent violation, yet this relationship is not linear. Further empirical analysis reveals characteristics of contracting firms and purchasing relationships which moderate this phenomenon. Our findings contribute to the literature by providing empirical support regarding the relationship between past and future contract misconduct violations within public procurement relationships. We also offer several implications to practitioners and policymakers to support the identification and management of repeat contract misconduct violators.

With the increasing level of supply chain complexity, the mechanisms of emergence and control have become essential for achieving superior performance. To operationalize the relationships between the two mechanisms, we develop the dimensions of balance emergence-control (BEC) and combined emergence-control (CEC). While BEC highlights the need to match two mechanisms that are substitutes, CEC treats emergence and control rather as complements that reinforce one another. Additionally, we also develop the construct of supply chain ambidexterity as a conglomerate of exploitation and exploration practices performed within service triads. In this study, we investigate the effects of supply chain ambidexterity on emergence and control, and their resulting effects on triadic relational performance.

To develop the research model and test hypotheses, hypothetic-deductive logic was employed to underpin the quantitative survey-based methodology. The data for the analysis was derived from 350 service triads operating in Europe. To ensure the robustness of the results, Confirmatory Factor Analysis was carried out, followed by hierarchical regression analysis and path analysis. The findings show that while supply chain ambidexterity has a positive effect on emergence, it has a negative effect on control. The results also demonstrate that when applied independently, balance emergence-control and combined emergence-control have a respective positive and negative effect on triadic relational performance. Interestingly however, when applied collectively, balance emergence-control and combined emergence-control demonstrate a positive effect on triadic relational performance.

In 2018, the United States imposed numerous tariffs with the stated intent of protecting U.S. firms from international competitors. These tariffs have had a substantial impact on supply chains which were not well understood. While tariffs can provide some protection to certain industries, they can also create inefficiencies for the industries they were designed to protect, as well as for their supply chain partners. We analyze the impacts of the tariffs imposed by the United States in 2018, on the industries they were intended to protect (steel, semiconductors, agricultural equipment, and chemicals industries) as well as on their suppliers and customers. We perform an event study to analyze the effects of four discrete suites of tariffs on the firm value of 691 publicly traded U.S. firms. We utilize resource dependence theory (RDT) to better understand the net impact of tariffs on protected industries and their supply chains. The results demonstrate that the implementation of the 2018 tariffs had an overall negative impact on firm value, leading to a decrease in the value of domestic producers within the protected industries and mixed financial effects on firms in their supplier and customer industries. These findings demonstrate the ripple effect of unintended consequences that tariffs can lead to throughout supply chains, motivating further theoretical development and informing trade policy.

In this paper, we state and debate the use and usefulness of text similarity and network analytics using natural language processing for our field. While previous reviews of Purchasing and Supply Management have relied on manual coding and classification, the large scale and variety of the field calls for new approaches. In this Notes and Debates article, we therefore review different approaches from bibliometric and scientometric studies to explore literature using (semi)automated approaches. We exemplify one approach, leveraging text similarity and network visualization, to complement earlier analysis. Along the way, we discuss the researcher’s role at critical vantage points in reviews that are augmented by natural language processing. We compare and contrast the results of this exploration to previous manual reviews and sketch opportunities and provide recommendations for future use.