Suchergebnisse

PurposeAlthough supply chain finance (SCF) aims to optimize capital flows in the supply chain process, its effectiveness in improving cost performance remains controversial. From the perspective of efficiency motives, this study aims to explore how the combinations of SCF solutions and traditional financing instruments lead to supply chain cost reduction.Design/methodology/approachA mixed-method approach is used in this study. First, using the fuzzy-set qualitative comparative analysis (fsQCA), the authors analyze 405 survey data across four industries in China and identify the configurations of financing instruments for supply chain cost reduction. Second, to better understand the reasons behind each configuration, the authors conduct the content analysis on the interview data composed of 24 Chinese companies.FindingsThe authors find that the effectiveness of SCF solutions for supply chain cost reduction is related to the focal company's use of traditional financing instruments. Moreover, compared with guaranteed financing, companies that use credit financing are more likely to adopt SCF solutions to achieve supply chain cost reduction. Finally, the effectiveness of SCF solutions in reducing supply chain costs varies greatly across industries.Practical implicationsThe study's findings provide insights for policymakers and SCF practitioners in the aspects of simplifying the SCF application.Originality/valueThis study contributes to the current literature by addressing the theory–practice gap related to SCF. The study also provides new understandings of factors related to supply chain cost reduction, as well as factors that influence SCF adoption.

Abstract. Climate change is affecting every aspect of human activities, especially the agriculture. In China, extreme drought events caused by climate change have posed a great threat to food safety. In this work we aimed to study the drought risk of maize in the farming–pastoral ecotone in Northern China based on physical vulnerability assessment. The physical vulnerability curve was constructed from the relationship between drought hazard intensity index and yield loss rate. The risk assessment of agricultural drought was conducted from the drought hazard intensity index and physical vulnerability curve. The probability distribution of drought hazard intensity index decreased from south-west to north-east and increased from south-east to north-west along the rainfall isoline. The physical vulnerability curve had a reduction effect in three parts of the farming–pastoral ecotone in Northern China, which helped to reduce drought hazard vulnerability on spring maize. The risk of yield loss ratio calculated based on physical vulnerability curve was lower compared with the drought hazard intensity index, which suggested that the capacity of spring maize to resist and adapt to drought is increasing. In conclusion, the farming–pastoral ecotone in Northern China is greatly sensitive to climate change and has a high probability of severe drought hazard. Risk assessment of physical vulnerability can help better understand the physical vulnerability to agricultural drought and can also promote measurements to adapt to climate change.

PurposeThe purpose of this paper is to investigate how supplier concentration influences a buyer firm's R&D intensity. This study proposes a mediation and moderation model to test this relationship in the Chinese household appliance industry. Specifically, this study tests the mediation effect of operational slack on the relationship between supplier concentration and R&D intensity and the moderation effect of financial constraints on this relationship.Design/methodology/approachDrawing upon real options theory and resource dependence theory, the proposed relationships are tested with the Chinese household appliance market using financial data from listed companies over a ten-year span from 2012 to 2021. Fixed effects (within-group) panel regression models are used to test the hypotheses. In addition, the authors use the bias-corrected bootstrap method to test the mediation effect.FindingsThe authors find that supplier concentration negatively affects a buyer firm's R&D intensity and that internal operational slack mediates this relationship. Interestingly, financial constraints from the external financing organization weaken the negative relationship between the buyer firm's supplier concentration and R&D intensity.Originality/valueBased on the argument of real options theory and resource dependence theory, this study provides novel insights into the issue of how concentration on several major suppliers may reduce buyer firms' R&D intensity. First, this study introduces operational slack as a form of internal uncertainty that mediates the supplier concentration–R&D intensity relationship. Second, this study suggests that the effect of supplier concentration on R&D intensity is contingent upon firms' financial constraints from external financial organizations, disclosing a synergetic interactive effect of supplier concentration and financial constraints on firms' R&D activities. Third, this study is conducted in the unique institutional context of China, providing meaningful insights into the relationship between supplier concentration and R&D intensity.

PurposeAlthough big data may enhance the visibility, transparency, and responsiveness of supply chains, whether it is effective for improving supply chain performance in a turbulent environment, especially in mitigating the impact of COVID-19, is unclear. The research question the authors addressed is: How do logistics firms improve the supply chain performance in COVID-19 through big data and supply chain integration (SCI)?Design/methodology/approachThe authors used a mixed-method approach with four rounds of data collection. A three-round survey of 323 logistics firms in 26 countries in Europe, America, and Asia was first conducted. The authors then conducted in-depth interviews with 55 logistics firms.FindingsIn the first quantitative study, the authors find mediational mechanisms through which big data analytics technology capability (BDATC) and SCI influence supply chain performance. In particular, BDATC and SCI are two second-order capabilities that help firms develop three first-order capabilities (i.e. proactive capabilities, reactive capabilities, and resource reconfiguration) and eventually lead to innovation capability and disaster immunity that allow firms to survive in COVID-19 and improve supply chain performance. The results of the follow-up qualitative analysis not only confirm the inferences from the quantitative analysis but also provide complementary insights into organizational culture and the institutional environment.Originality/valueThe authors contribute to supply chain risk management by developing a three-level hierarchy of capabilities framework and finding a mechanism with the links between big data and big disaster. The authors also provide managerial implications for logistics firms to address the new management challenges posed by COVID-19.

PurposeDrawing upon relative absorptive capacity (AC) perspective, this study proposes a research model connecting R&D investment, three types of supply chain AC—AC from suppliers, customers and university and research institutes (U&RIs)—and firm innovativeness and investigates the contingent effects of dysfunctional competition on the link between R&D investment and supply chain AC.Design/methodology/approachThe authors used data collected from 262 manufacturers in three areas of China to empirically examine the conceptual model. The corresponding hypotheses were tested with structural equation modeling and regression analysis.FindingsThe empirical results demonstrate that AC from customers and AC from U&RIs play significant mediating roles in the relationship between R&D investment and firm innovativeness. Moreover, R&D investment has a significantly greater effect on AC from U&RIs under high levels of dysfunctional competition.Originality/valueFirst, by conceptualizing AC from a relative view, this study discloses the unique roles of knowledge from different supply chain partners in realizing the benefits of R&D investment in innovation. Second, the exploration of the contingent roles of dysfunctional competition in the emerging economy of China enriches insights on the roles of institutional environment on knowledge absorption and the knowledge on relative AC in emerging economies.