Supply Chain Information Sharing Research Articles

Does Supply Chain Information Sharing Affect the Business Performance of Batik MSMEs in Yogyakarta City?

The authors of this paper examine how supply chain information sharing affects business performance, mediated by operational performance and supply chain integration. This study uses a questionnaire to collect data. This study includes primary data collected from 53 respondents and is focused on batik MSMEs in Yogyakarta City, Special Region of Yogyakarta, Indonesia. PLS-SEM analysis using SmartPLS 4.0 is the research's analysis method. The results are: 1. Supply chain information sharing positively affects supply chain integration. 2. Supply chain information sharing positively affects business. 3. Supply chain information sharing positively affects operational performance. 4. Supply chain integration positively affects operational performance. 5. Supply chain integration positively affects business performance. 6. Operational performance positively affects business performance. 7. Supply chain information sharing positively affects business performance mediated by supply chain integration. 8. Supply chain information sharing positively affects business performance mediated by operational performance. The research team suggests that batik MSMEs in Yogyakarta City should work to adapt products to satisfy urgent customers’ needs quickly.

Information Sharing in a Green Supply Chain with a Common Retailer

In the paper, we analyze the problem of information sharing in a green supply chain with two competing manufacturers selling environmentally friendly substitutable products in markets through a common retailer. We develop a game-theoretic framework of a network supply chain structure. The study shows that (a) the manufacturer is better off while the retailer is worse off when the retailer shares his private information with the manufacturer; (b) the equilibrium greening levels are the highest when both the manufacturers are informed; (c) under intense competition, the retailer has an incentive to share the information with the manufacturer; (d) the equilibrium greening levels decrease with information inaccuracy. This study shows the existence of a contracting mechanism the manufacturers can employ to induce information sharing. This study’s results will be helpful to managers of green supply chain structures to make marketing and operational decisions under uncertain situations. The main contribution of this study is that it explores the problem of information sharing in a green supply chain under competition.

Cooperation Mode Selection and Information Sharing in a Fresh Produce Supply Chain With Freshness-Keeping Effort

ABSTRACT This article considers a fresh produce supply chain where the supplier provides freshness-keeping effort and the e-commerce platform owns private demand information. The supplier can choose to cooperate with the platform in reselling or agency selling mode, and the platform can choose whether to share information. Considering that demand is affected mainly by freshness and price, we model a multistage game and explore the supplier’s cooperation mode choice and the platform’s information sharing strategy. We reveal that the supplier should consider scale economics while investing in freshness-keeping resources. The platform should be cautious in setting the commission fee because she does not always benefit from the increased commission rate. We also show that the platform may benefit or suffer from information sharing, depending on the freshness sensitivity and the cooperation mode choice. As information sharing benefits responsive decision making, we reveal that the supplier may choose agency selling to induce information sharing even at a high commission rate. We also find that the interaction between cooperation mode selection and information sharing may lead to a win–win or lose–lose equilibrium strategy. Specifically, the supplier and the platform may achieve win–win cooperation under agency selling (reselling) at a low (high) commission rate. Then, to improve supply-chain performance, we design incentive contracts to motivate information sharing and adjust the cooperation mode choice. After the strategy adjustment, we find that the supplier may adopt a strategy of high quality with a low price under agency selling.

The genetic algorithm and BP neural network in financial supply chain management under information sharing

AbstractIn today's global business competition environment, the significant changes in the market environment make it very difficult for supply chain enterprises to gain a place in the fierce market only by their strength. This article will do the following research work to effectively play the role of supply chain management. First, the concepts, and characteristics, related applications of supply chain information sharing (IS) and genetic algorithm back propagation (GABP) neural networks, are expounded. Then, the feasibility of applying BP neural network (BPNN) to evaluate supply chain IS is analysed. Next, the assessment indicator system for IS is constructed from four aspects: IS infrastructure, IS member characteristics, IS content, and the quality of supply chain enterprises. Finally, the principle and algorithm of BPNN are analysed, the network model is constructed, the BPNN process based on GA is designed, and every step in the process is explained in detail. The sample input is provided for the network model by obtaining and sorting data. The supply chain IS assessment model based on the GABP neural network is constructed. The results show that the assessment model of supply chain IS based on the GABP neural network has high accuracy, and the highest network accuracy reaches 95.01%, which proves that the assessment model based on BPNN has certain advantages for the supply chain IS of the financial industry.

The contingency effects of dependence relationship on supply chain information sharing and agility

PurposeSupply chain agility (SCA) is the primary strategy for reducing impacts and quick recovery when supply chains experience a disruption risk, such as the COVID-19 pandemic. This study will investigate how SCA can be achieved through supply chain information sharing (SCIS) under the different dependence relationships (DR) with suppliers or customers. The purpose of this paper is to investigate this issue.Design/methodology/approachBased on information process and resource dependency theories, this study constructs and empirically tests a proposed model of the relationships amongst the three dimensions of SCIS and the two areas of SCA and the contingency effects of two types of DR on those relationships. Using a dataset collected from 400 manufacturers in China, the authors tested this theoretical model using multi-group and structural path analysis.FindingsThe results of the structural path and multi-group analyses show that (1) all dimensions of SCIS are positively correlated with both areas of SCA and (2) dependence on the supplier and dependence on the customer have completely different impacts on the relationship between SCIS and SCA.Originality/valueThis study can improve the understanding of the multidimensional concepts of SCIS and SCA and relationships between them under two different DR conditions in the Chinese manufacturing setting. It contributes to IS and the SCA literature and provides theoretically driven and empirical explanations for the diverse dynamics between the dependence on the supplier and customer.

Green supply chain management in manufacturing firms: A resource‐based viewpoint

AbstractAs sustainability draws increasing attention due to the COVID‐19 pandemic, interest in the green supply chain has likewise substantially increased. The present study contributes deeper insights into the logical integration of the resource‐based characteristics that can facilitate the effective transition from traditional to green supply chains while also increasing the effectiveness of existing green supply chains. The proposed model, rooted in the resource‐based view (RBV) theory, examines the associations of supply chain connectivity (SCC), supply chain information sharing (SCIS), top management commitment (TMC) and green procurement and logistics acceptance (GPLA) with green supply chain management (GSCM). Analysis of data from employees at 381 manufacturing firms in the United Kingdom confirmed the positive associations of SCC and SCIS with TMC and GPLA, of TMC with GPLA and GSCM and of GPLA with GSCM. The results also confirmed the serial mediation effect of TMC and GPLA on the associations of both SCC and SCIS with GSCM. The study offers several practical insights and theoretical contributions, including a novel GSCM scale.

To Share or Not to Share? The Role of Retailer's Information Sharing in a Closed-Loop Supply Chain.

Retailers are faced with a dilemma of whether to share demand information with other supply chain members, and if so, how to share it. Our research interest is motivated by the grounds that the value of downstream retailers’ sales information to upstream manufacturers is to improve the accuracy of manufacturers’ order forecasting. This problem is particularly important in the remanufacturing of closed-loop supply chains (CLSCs). In this study, we consider a retailer (she) as the demand information holder, who sells new and remanufactured products in wholesale to a manufacturer (he) and, simultaneously, she and the manufacturer competitively collect used products from the customers. We explicitly characterize the role of information sharing in a CLSC. We contributed to the information-sharing literature by integrating the existing information-sharing model with dual recycling channels and channel power structure. Previous literature suggests that retailers prefer to share demand information with other firms when the market demand is high. However, surprisingly, we find that when the manufacturer does not play a leading role, the retailer shares her forecast demand information with the manufacturer if the market demand is low. We also show that information sharing reduces the overall profit of the supply chain when the manufacturer dominates the market. In addition, our results also illustrate that information sharing affects the performance of the supply chain mainly by affecting the wholesale price.

Decisions for Blockchain Adoption and Information Sharing in a Low Carbon Supply Chain

Enterprises in low-carbon supply chains have been exploring blockchain technology in order to make carbon data transparent. However, there is still some opaque information in the market, such as the value-added service efficiency. How do supply chain members make decisions between information sharing and blockchain adoption? This study considers blockchain adoption and information sharing in a low-carbon supply chain with a single manufacturer and a single retailer. The retailer has private information about value-added services and decides how to share it with the manufacturer. We examine six combined strategies comprised of blockchain scenarios and information sharing formats (no sharing, voluntary sharing, and mandatory sharing). The results indicate that supply chain members prefer blockchain technology under no sharing and voluntary sharing. Under mandatory sharing, supply chain members have incentives to participate in blockchain when the value-added service efficiency exceeds a threshold value. While the manufacturer prefers to obtain the value-added service information, the retailer decides to share information depending on the value-added service efficiency. Besides, supply chain members’ attitude toward the sharing contract also depends on the value-added service efficiency.

Multiauthority Attribute-Based Access Control for Supply Chain Information Sharing in Blockchain

Information sharing has become an important application in modern supply chain management systems with business technology development. Because traditional supply chain information systems have problems such as easy data tampering, low information transparency, and interaction delays, blockchain has been taken consideration into supply chain information sharing research. Furthermore, blockchain technology is expected to provide decentralized supply chain information sharing solutions to enhance security, availability, and transparency. However, with the in-depth study of the application of blockchain technology in supply chain information sharing, people have found that the data stored publicly in the blockchain are still threatened by privacy leakage. In addition, due to the openness and accessibility of the blockchain, the lack of fine-grained access control is also apparent. In order to improve the security of data, we propose a novel privacy-preserving multiauthority attribute-based access control scheme for secure blockchain-based information sharing in a supply chain. In this scheme, blockchain stores encrypted supply chain information on distributed nodes. Multiple attribute authorities manage different attributes of users to achieve fine-grained access control and flexible authorization. Even if some attribute authorities fail, the user’s private key will not be leaked. In user secret key generation, we adopt an anonymous key generation protocol to realize the secure distribution of user keys by the attribute authorities. Furthermore, in order to meet the protection of communication privacy between blockchain nodes, properties of policy hiding and identity hiding are considered. Finally, we design experiments to analyze the performance of our scheme, including secret key sizes and running time of encryption and decryption.

Information Sharing in a Cross-Border E-Commerce Supply Chain Under Tax Uncertainty

ABSTRACT This study explores the optimal information-sharing strategy in a cross-border e-commerce supply chain with uncertain tax rates, in which an overseas manufacturer invests in product quality and a cross-border e-retailer holds private demand information. By establishing a game-theoretical model, we investigate the e-retailer’s motivation for sharing information with the overseas manufacturer and further explore the role of information sharing under tax uncertainty. Our results show that when quality elasticity is high, the e-retailer chooses to share its information voluntarily. However, under medium quality elasticity, the e-retailer shares information voluntarily only when the probability of the high tax rate is below a certain threshold. Moreover, the e-retailer could be more likely to share information under higher tax uncertainty. When quality elasticity is low, the e-retailer is unwilling to share information, but the overseas manufacturer can design a contract to incentivize the e-retailer to share information to realize a win–win outcome. Finally, we reveal that information sharing can mitigate the negative effect of tax fluctuation on the e-retailer’s profit. These findings provide useful implications for cross-border e-retailers on how to formulate information-sharing strategies under tax uncertainty arising from trade policy adjustment. Our study also supplements the information-sharing literature by discussing tax uncertainty, which is an important factor affecting the operation of cross-border e-commerce supply chain.

Blockchain-Based Supply Chain Information Sharing Mechanism

This paper proposes a blockchain-based supply chain information operation method to solve the current shortage of business information sharing in the supply chain. These approaches include the idea of blockchain application to realize the sharing of supply chain information, the supply chain architecture of production enterprises based on blockchain, and the hierarchical model of supply chain information flow based on blockchain. This paper proposes the information block recording method of internal and external data sources in the supply chain, including the composition structure and the analysis of the multisource data inside and outside the supply chain. In addition, the multisource data information block recording method is also proposed. Building a blockchain-based supply chain system can improve the integration and reconstruction capabilities of the supply chain. The information recording of the internal data of the supply chain and the external related multisource data in the block can improve the learnability of the supply chain. The internal and external information block connection of the supply chain system is the further integration and reconstruction of the supply chain information resources in the blockchain system. The information storage and access control of the blockchain-based supply chain is an information security guarantee system in the supply chain information sharing environment. Through the method of this study, the system can form a business architecture system based on blockchain-based supply chain information sharing.

Online Expansion Strategy with Information Sharing in Medical Device Supply Chain

Online Expansion Strategy with Information Sharing in Medical Device Supply Chain

Coordination Model of Consumer Information Sharing in the Online Tourism Supply Chain

This is a study of the coordination model of consumer information sharing in the tourism supply chain with e-commerce platforms as the core. On the basis of considering the risks, a game theory is used to explore the information sharing effort level and the output profit of the tourism supply chain under both, centralized decision-making and decentralized decision-making. Finally, numerical simulation is used to verify the model and put forward a method of coordination for all parties in the tourism supply chain to achieve maximum profit.

Supply Chain Compatibility, Information Sharing, and Collaboration: Empirical Evidence from South Korea

성공적인 공급망 관리의 수행을 위해서는 기업 고유의 철학과 경쟁력을 필요로 하며, 이는 공급망 전체의 공통된 인지적 프로세스를 통해 실현될 수 있다. 특히 공급망 파트너들의 친화성과 원활한 정보공유는 공급망 협력을 촉진하는 역할을 하며, 이는 공급망의 성공적 수행 요인으로 작용할 수 있다. 본 연구는 일치성이론에 기초하여, 공급망 친화성을 기업의 협력을 촉진하는 요인으로 제시하고 친화성을 세 개의 차원(기술적, 운영, 문화적)으로 구조화하여 정보공유와 공급망 협력에 대한 영향관계를 파악하는 연구를 수행하였다. 또한 친화성과 협력 사이에서 정보공유의 매개효과에 대한 실증분석을 수행하였다. 분석 결과로 공급망의 문화적 친화성이 협력에 미치는 영향, 기술적 친화성이 정보공유에 미치는 영향, 정보공유가 협력에 미치는 영향이 유의미함을 제시하였다. 또한 매개효과 분석을 통해 공급망 파트너 간의 정보공유는 기술적 친화성과 협력에 간접적인 영향을 미친다는 결과를 도출하였다. 이 결과를 바탕으로 학술적, 실무적 시사점을 제시하고, 연구의 한계점과 향후 연구방향을 논의하였다.Successful supply chain management requires a firm’s philosophy and competitiveness, which can be realized through a common cognitive process throughout the supply chain, not a requirement limited to one firm. In particular, compatibility and information sharing between supply chain partners play a role in facilitating supply chain collaboration, which can act Successful supply chain management requires a firm’s philosophy and competitiveness, which can be realized through one cognitive process common throughout the supply chain. This is not a requirement limited to a single firm. In particular, compatibility and information sharing between supply chain partners facilitate supply chain collaboration, which can be a factor in supply chain success. Based on the congruence theory, this study proposed supply chain compatibility as a factor promoting collaboration, and examines the relationship between information sharing and supply chain collaboration by decomposing compatibility into three dimensions (technical, operational, and cultural compatibility). An empirical analysis was performed on the mediating effect of information sharing between compatibility and collaboration. The results show that cultural compatibility’s effect on collaboration, technological compatibility’s effect on information sharing, and the effect of information sharing on collaboration were significant. Mediating effect analysis showed that information sharing indirectly affects technological compatibility and collaboration. Based on these results, we drew theoretical and practical implications, and further discussed limitations and future research directions.

Integrating Electronic Information Sharing in Supply Chain for Organization Performance of Parastatals in Nakuru County, Kenya

In this Information Age, the world is an informational hub where information is available everywhere almost instantaneously and the supply chain benefits greatly from the flow of it. The main aim of the study was to investigate the magnitude of parastatals integration of their systems to enable them to share and acquire information about their suppliers electronically to promote organizational performance. The study focused on the integration of e-information sharing through, virtual administered questionnaires, e-catalogues accessibility, real-time information access, e-referencing and e-referrals and online access to suppliers’ capabilities. The study used a population of 236 where purposive sampling was adopted and a population of 91 respondents was selected to attain findings. Questionnaires were used as the main instrument to collect data out of which 80 respondents gave their responses. The study used a null hypothesis to test the rate of the relationship of the variable to organization performance. The study confirmed there was a statistical significance between e-information sharing and organization performance. The study recommends that parastatals enhance system integration and education with their suppliers to provide compatibility and easy access and flow of information.

Study of the Game Model of E-Commerce Information Sharing in an Agricultural Product Supply Chain based on fuzzy big data and LSGDM

Information asymmetry is the root of agricultural product quality problems. Generally speaking, the common problems related to agricultural products are solved by effective supply chain management. From the perspective of agricultural supply chain management, this paper analyzes the shortcomings of the traditional supply chain management process by using fuzzy big data and LSGDM (Large scale group decision making), and puts forward a new method of supply chain management. In addition, from the perspective of asymmetric information sharing regarding agricultural products, an asymmetric information sharing model for agricultural products based on the evolutionary rule theory is established. Combined with fuzzy big data and LSGDM, this paper puts forward the hypothesis of each variable in the process of the information sharing game. On this basis, a mathematical model of the "pool equilibrium" of the high and low prices in the agricultural products market is put forward. Finally, a case study of products of different quality in the sea cucumber market is carried out. The results show that high quality sea cucumber products occupy a large market share in the supply chain of agricultural products. The research of this paper is of great significance, because it can increase the reliable theoretical data available for the research of the agricultural supply chain.

Prospect of lean practices towards construction supply chain management trends

PurposeTo deal with the present situation and recover after the COVID-19 pandemic, construction firms are required to recognise the trends in construction supply chain management (CSCM) for the upcoming years and determine the appropriate practices towards the trends for the improvement of construction activities in terms of strategy, tactic and operations. This paper aims to recognise key trends in CSCM and uses these trends as strategic criteria for the evaluation and prioritisation of lean construction (LC) tools at different project phases including design and architectural engineering, planning and control, on-site construction and safety management.Design/methodology/approachThe integrated analytic hierarchy process–Delphi method is used to collect and analyse the data from construction experts to evaluate the importance levels of the CSCM trends and recommend the appropriate tools for LC practices to improve project performances.FindingsSeven key CSCM trends are identified: lean supply chain management (SCM), supply chain (SC) integration, SC standardisation, SC problem-solving, SC information-sharing, SC flexibility and SC sustainability. Based on these trends, a set of prioritised lean tools are suggested for LC practices, in which “virtual design construction” (VDC) and “last planner system” are considered as the central tools. These two LC practices can be integrated with other effective tools to support the strategic, tactical and operational targets in construction supply chain (CSC) projects.Research limitations/implicationsThis study gives the managerial implications by developing an application framework of LC practices for CSC projects. The framework promotes “VDC” as a strategic tool for the phase of design and architectural engineering and considers “last planner system” as the central LC practice for the phase of project planning and control. The framework also focuses on the improvement of efficiency in construction operations by taking into account the aspects of on-site collaboration, problem-solving, improvement and safety.Originality/valueUp to date, there is still a lack of researches in classifying and prioritising the significant LC tools for each project phase to deal with CSC issues in both breadth and depth. Thus, this study is performed to provide construction managers with the awareness of CSCM trends on which they can focus to have strategic criteria for selecting LC practices to improve CSC performances.

Evolutionary Game Analysis of Information Sharing in Fresh Product Supply Chain

Fresh produce has increasingly become an important part of people’s diet. However, the loss of fresh produce in the supply chain has existed for a long time and is difficult to overcome. Some companies use their own information management systems or use information systems built by other companies to release and manage fresh agricultural product information in a timely manner, thereby reducing product loss caused by the “bullwhip effect.” However, this will also bring pressure on construction costs and the risk of information leakage. Based on the evolutionary game model, this paper conducts process modeling and analysis on the behavior of enterprise groups participating in information sharing. It is concluded that the greater the difference between the income obtained through information sharing and the cost of building information system, the higher the likelihood of enterprises participating in information sharing. In addition, the greater the profit from the construction of information platform, the smaller the profit of “free rider,” and the smaller the risk of information leakage, the greater the enthusiasm of enterprises to participate in information sharing. Finally, some suggestions are proposed from the perspective of maximizing supply chain benefits.

Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.

Information Sharing in an Online Game Supply Chain

We study an online game supply chain that is composed of a game developer and a distributor. We investigate the impact of the distributor sharing demand information on the game quality investment during the game development stage and the marketing investment. Our analyses show that information sharing does not always improve marketing investment. When the online game market demand is relatively insensitive to the game price, sharing information motivates the distributor to invest more in marketing. In addition, information sharing always affects the developer's decision in product quality. The developer will be less conservative in product quality when it is more certain about the market demand and commit a higher investment after having demand information shared with it. For the distributor, we find that information sharing only results in a higher markup decision when the market demand is not very sensitive to the game price. There exists a Pareto improvement region so that the distributor will voluntarily share the demand information, which benefits both supply chain members.