International Journal of Production Economics最新文献

{"title":"Adoption strategies of E-commerce consumer credit services: A dual-channel competition perspective","authors":"","doi":"10.1016/j.ijpe.2024.109387","DOIUrl":"10.1016/j.ijpe.2024.109387","url":null,"abstract":"<div><p>This paper investigates the adoption strategy of e-commerce consumer credit services (e-CCS) and its impact on pricing strategies of a dual-channel system consisting of a wholesale platform, an agency platform, and a common supplier. We analyze the interaction between e-CCS strategies and channel modes by constructing a game model with four subgame scenarios: neither channel implements e-CCS (<span><math><mtext>NN</mtext></math></span>), only the wholesale channel provides e-CCS (<span><math><mtext>IN</mtext></math></span>), only the agency channel offers e-CCS (<span><math><mtext>NI</mtext></math></span>), both channels launch e-CCS (<span><math><mtext>II</mtext></math></span>). Our findings reveal that channel forms and e-CCS features significantly influence the adoption of e-CCS. Interestingly, the key influencing factors vary among decision makers. Specifically, the wholesale platform is willing to launch e-CCS as long as the demand benefit is prominent, while the agency platform only offers the service when the bad debt risk rate is mild. Moreover, when the agency platform provides e-CCS, the supplier accepts to use it only when there is a substantial demand benefit. Counterintuitively, we also find that the adoption of e-CCS can generate a positive spillover effect on the rival platform, leading to a “win-win” situation. In addition, we examine the impact of e-CCS on pricing decisions. Our findings indicate that the supplier and the wholesale platform may adopt distinct pricing strategies to address higher bad debt risk. Finally, we demonstrate the robustness of our main findings to investigate the impact of competition intensity, the correlation between demand benefit and price, negative externalities on demand benefit, and consumer heterogeneity on e-CCS.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating risk of IoT adoption in the food supply chain using an integrated interval-valued spherical fuzzy generalised TODIM method","authors":"","doi":"10.1016/j.ijpe.2024.109386","DOIUrl":"10.1016/j.ijpe.2024.109386","url":null,"abstract":"<div><p>The existing literature has shown that the Internet of Things (IoT) has proven to be beneficial for managing operations in the food supply chain. However, the potential failures resulting from these new technologies have not been thoroughly examined. Therefore, the aim of this study is to create a new framework for analyzing the risks associated with implementing IoT in the food supply chain. To achieve this, we introduce an extended failure mode and effect analysis framework using an integrated generalised Toma de Decisão Iterativa Multicritério (TODIM) method within the interval-valued spherical fuzzy setting. Initially, we developed a risk structure consisting of four dimensions and sixteen sub-factors to facilitate the implementation of IoT technology in the food supply chain. We then introduced an interval-valued spherical fuzzy-weighted Bonferroni mean operator to gather expert opinions and create a group risk matrix considering the interaction between the input risk data. Subsequently, we proposed a newly developed interval-valued spherical fuzzy TODIM method based on the Logarithmic percentage change-driven objective weighting (LOPCOW) method to evaluate and rank the risks associated with IoT application in the food supply chain. This method can capture the bounded rational decision behavior of experts and the uncertain preference of risk parameters. Based on the identified risk factors, we implemented a proposed risk analysis framework in line with the preferences of the experts. The results indicate that \"human resource risk\" and \"uncertainty in technology adoption\" are the most and least significant risks, respectively. We also conducted sensitivity and comparison studies to test the reliability and rationality of the proposed framework. The main findings can assist policymakers and managers in mitigating and minimizing the risks connected with IoT applications in the food supply chain. Additionally, these outcomes can aid stakeholders in making well-informed decisions about resource allocation for risk management.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generative AI-enabled supply chain management: The critical role of coordination and dynamism","authors":"","doi":"10.1016/j.ijpe.2024.109388","DOIUrl":"10.1016/j.ijpe.2024.109388","url":null,"abstract":"<div><p>Generative AI has exerted a transformative impact on various industries. However, the effective integration of generative AI into supply chain management (SCM) remains unclear. To address this, we employ the relational view to examine the relationships among generative AI usage depth, supply chain coordination, and supply chain performance at different levels of supply chain dynamism. We analyze survey data from 236 Chinese firms that have implemented generative AI to varying extents. We identify a positive association between generative AI usage depth and supply chain performance. Two types of supply chain coordination—supplier and buyer—play crucial mediating roles in connecting the aforementioned positive association. Surprisingly, supply chain dynamism amplifies the mediating roles of supplier and buyer coordination. We contribute to the existing AI-enabled SCM research by providing empirical support for the moderated mediation mechanism underlying the generative AI usage depth-supply chain performance link. We also offer practical guidelines for firms aiming to strategically leverage generative AI.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging green supply chain practices and environmental performance in Chinese semiconductor sector: With the role of energy efficiency and green HRM","authors":"","doi":"10.1016/j.ijpe.2024.109381","DOIUrl":"10.1016/j.ijpe.2024.109381","url":null,"abstract":"<div><p>The semiconductor sector of China, which is an essential part of the global electronics market, is experiencing significant pressure to adopt green practices. Therefore, this study examines the role of green supply chain practices such as customer environmental collaboration, green purchasing and sustainable innovation in environmental performance. By leveraging the integrated perspective of the resource based-view, natural resource-based view and ability-motivation-opportunity as a theoretical lens, the study evaluates whether green practices lead to better environmental performance. In this study, energy efficiency is explored as a mediator between green purchasing, sustainable innovation and environmental performance, revealing its part in reaping the benefits of green initiatives. Additionally, green human resource practices are assessed as a moderator to identify how supportive such practices can be to amplify the relationship between customer environmental collaboration and firm environmental performance. Leveraging a PLS-SEM methodology, the findings reveal that environmental collaboration with customers, green purchasing and sustainable innovation directly lead to superior environmental performance. The study identifies the crucial role of energy efficiency as a mediator as it helps reinforce the effectiveness of green practices. The proven role of green human resource management as a moderator underscores the need to integrate human resource management with environmental objectives. Policymakers could take guidelines from the study to develop policies related to enhancing environmental performance using effective green supply chain practices and green human resource management practices.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142164923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How to configure the supply chain to stimulate firm innovation performance?","authors":"","doi":"10.1016/j.ijpe.2024.109384","DOIUrl":"10.1016/j.ijpe.2024.109384","url":null,"abstract":"<div><p>Supply chain characteristics are an important driving force for innovation at the focal firm. Previous research has separately examined the impact of structural, relational, and capability dimensions of the supply chain on firm innovation. Relying on the structure-relationship-capability framework, this study explores the configurational impact of geographical distance, business concentration, and partner innovation of both the supplier-base and the customer-base on firm innovation. Necessary causality analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA) are employed. Based on a dataset of 123 Chinese listed firms in high-tech manufacturing sectors, we provide novel insights on the antecedent configurations of the partner characteristics in both ends of supply chains for facilitating firm innovation. Our findings indicate that there are no necessary conditions for high firm innovation performance. We identify three distinct paths - namely, innovation-driven, customer-dominated, and relationship-driven configurations - that consistently lead to high firm innovation performance. From a configurational perspective, this research contributes to the innovation and supply chain literature and provides practical implications for managers to facilitate firm innovation.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Capacitated multi-item multi-echelon lot sizing with setup carry-over under uncertain demand","authors":"","doi":"10.1016/j.ijpe.2024.109379","DOIUrl":"10.1016/j.ijpe.2024.109379","url":null,"abstract":"<div><p>This study focuses on the lot sizing problem with setup carry-over in multi-item multi-echelon capacitated production systems under uncertain customer demand for end items, as well as components. We investigate budget-uncertainty robust optimization and scenario-based stochastic programming, to address the uncertainty in customer demand. Three modeling strategies are proposed within the stochastic programming framework, exploring different decision stages for setup carry-over and production quantities. In our examination of the robust model, we explore different robustness parameters, specifically the uncertainty budget and the variation interval. Extensive numerical experiments are conducted to compare the average and worst case performance of the models on out-of-sample scenarios. We fit conditional inference trees to the evaluation results and predict the suitability of robust and stochastic approaches for the test instances based on their problem characteristics. The findings provide valuable insights, potentially enabling decision makers to estimate the most appropriate approach based on certain characteristics of the lot sizing problem that is addressed. Moreover they highlight the importance of choosing appropriate robustness parameters for robust optimization models and emphasize the value of flexibility in carry-over and quantity decisions.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digitally powered solution delivery: The use of IoT and AI for transitioning towards a solution business model","authors":"","doi":"10.1016/j.ijpe.2024.109383","DOIUrl":"10.1016/j.ijpe.2024.109383","url":null,"abstract":"<div><p>Digitalization has played a key role in enabling the delivery of service-based solutions by facilitating customer-oriented needs-finding and personalized problem-solving capabilities. Artificial intelligence (AI) and Internet-of-Things (IoT) are decisive technologies in this process. This study evaluates how the use AI and IoT platforms impact solution delivery business models among servitized and non-servitized businesses. By running regression models on a sample of 213 Spanish businesses for 2023, it was found that the use of IoT platforms, rather than AI platforms, significantly assist companies down the analyzed solution delivery dimensions (i.e., customer embeddedness, operational adaptiveness, offering integratedness, and organizational networkedness). Additionally, results indicate that the combined use of IoT platforms when servitizing leads to greater customer embeddedness, whereas the use of AI platforms among servitized firms significantly contributes to improving operational adaptiveness.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142076204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fine-grained digital twin sharing framework for smart construction through an incentive mechanism","authors":"","doi":"10.1016/j.ijpe.2024.109382","DOIUrl":"10.1016/j.ijpe.2024.109382","url":null,"abstract":"<div><p>Prefabricated construction is increasingly applied in the construction industry. Recent academic and industrial efforts highlight that Digital Twin as a Service (DTaaS) is an innovative solution to strengthen the advantages of prefabricated construction by enabling continuous monitoring, precise control, and optimized maintenance of each unique module. However, the complexity of digital twins presents significant challenges for both platforms and subcontractors to apply and fully understand this technology. It is, therefore, crucial to develop a well-designed sharing environment where stakeholders volunteer to share their digital twin resources for synergistic benefits. This research proposes an innovative blockchain-based fine-grained digital twin sharing framework, with detailed architecture focused on two key stages of prefabricated construction: on-site construction and logistics involving warehousing and transport. An incentive mechanism is introduced to encourage all the stakeholders engaged in digital twin sharing framework to contribute and share more digital twin resources. Evolutionary and cooperative games explore the effective settings of the incentive policies, aiming to ensure the feasibility and sustainability of the proposed system by motivating users to share digital twins with fine granularity. Mathematical and numerical results demonstrate the optimal subsidy policies with/without budgetary constraints and further highlight the effectiveness of well-crafted incentives. Findings reveal that better performance in terms of profitability and digital twin sharing is achieved under the proposed incentives. Subsidies are primarily allocated to offset costs with a certain budget, whereas the emphasis shifts towards quality improvement under an ample budget. This study lays a solid foundation for digital twin reuse and development.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142086920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Who should pay for the return freight in e-commerce? Platforms, retailers or consumers","authors":"","doi":"10.1016/j.ijpe.2024.109375","DOIUrl":"10.1016/j.ijpe.2024.109375","url":null,"abstract":"<div><p>In the realm of e-commerce, various return freight modes are available, such as platform-bearing return freight (PP strategy), retailer-bearing return freight (RP strategy), and consumer-bearing return freight (CP strategy). The return freight strategy adopted by platforms plays a crucial role in responding to consumer behaviors. To analyze how platforms determine the optimal return freight strategies, we examine a supply chain comprising a platform, a retailer, and heterogeneous consumers, employing a Stackelberg game model to capture their decision dynamics. Our findings suggest that the platform should opt for the PP strategy only when the product profit margin is relatively low. If the platform refuses to adopt the PP strategy, then the RP strategy is preferable when consumers face extremely high consumer return freight costs; otherwise, the CP strategy is the equilibrium result. We also prove that the selection of the return freight strategies leads to changes in the property of the equilibrium. Under the CP strategy, how the product fit probability affects the optimal price depends on the procurement cost; while under the RP and PP strategies, the optimal price decreases with the fit probability. Moreover, under the PP strategy, an increase in the product fit probability does not always benefit the platform. Further, our analysis reveals that, while the PP strategy can reduce the retailer’s risk, it might negatively impact supply chain performance, which implies that cost sharing in the supply chain does not necessarily lead to a higher channel profit. We also investigate how the platform’s return freight strategies affect consumer surplus and identify regions for Pareto improvement where all parties benefit from the PP strategy. Finally, by exploring extensions like positive salvage values, partial refunds, platform competition, and differentiated return freight costs, we confirm the robustness of our findings and unveil new insights.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When crowdfunding meets bank financing: Substitute or supplement?","authors":"","doi":"10.1016/j.ijpe.2024.109374","DOIUrl":"10.1016/j.ijpe.2024.109374","url":null,"abstract":"<div><p>Crowdfunding is a new financing method that is widely utilized by startup firms to substitute or complement bank loans. We consider the optimal financing problem for a profit-maximizing startup firm, given that both the crowdfunding demand and retail market demand are uncertain and correlated. We find four types of financing strategies: single-source (crowdfunding only) and dual-source (crowdfunding and bank loan) financing, with prudent or aggressive goal-setting in crowdfunding. The four strategies each can be optimal for a specific parameter range with respect to the uncertainty ratio of crowdfunding and retail markets and the cost of crowdfunding. Upon deriving optimal strategies, we analyze comparative statics for the strategies and optimal profits. We show that, among other interesting results, market expansion (through either crowdfunding or the retail market) always calls for a higher crowdfunding goal but may raise or reduce the optimal bank loan depending on which market expands, and market expansion generally increases optimal profit except when the crowdfunding market grows too large which intensifies the overfinancing risk. Moreover, a high correlation between crowdfunding and the retail market does not necessarily favor the use of crowdfunding capital, nor does it always increase profits, and the impacts must be co-examined with the underfinancing and overfinancing risks.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}