Information Sharing and Supply Chain Coordination

Practically all supply chains operate under conditions of uncertainty. To mitigate this uncertainty and increase performance, organizations within chains exchange information to achieve operational cohesion. However, as some researchers have noted, some supply chains benefit more from increased levels of information sharing than others (e.g. Cachon & Fisher, 2000). To assist in explaining the performance differences experienced by supply chains engaged in information-sharing activities, we introduce a new perspective of information sharing within supply chains based on organizational information processing theory (Galbraith, 1973). More specifically, our work and derived conceptual model posit that individual supply chains may be examined as single information processors and that their characteristics can induce complexities in the shared information which subsequently influence how supply chains process this information. Furthermore, the degree to which supply-chain members’ information systems are compatible with each other is posited to also play a significant role in information-processing capabilities.

The purpose of this study is to analyze the impact of information technology, information sharing, and trust on supply chain performance, with supply chain integration as a mediating variable. The research method used is a quantitative approach, with questionnaires distributed to 236 individuals in the retail supply chain in Batam. Data were analyzed using the PLS method with SmartPLS 3.0. The results show that information technology and trust have a significant positive relationship with supply chain performance. Additionally, supply chain integration strengthens the relationships between information technology, information sharing, trust, and supply chain performance. However, it was found that information sharing does not have a significant relationship with supply chain performance. The implications of this study highlight the importance of effective use of information technology to enhance supply chain integration, which in turn strengthens information sharing and trust among partners, thereby improving retail performance in Batam City.

We study the interplay between inventory replenishment policies and information sharing in the context of a two-tier supply chain with a single supplier and a single retailer serving an independent and identically distributed Gaussian market demand. We investigate how the retailer’s inventory policy impacts the supply chain’s cumulative expected long-term average inventory costs [Formula: see text] in two extreme information-sharing cases: (a) full information sharing and (b) no information sharing. To find the retailer’s inventory policy that minimizes [Formula: see text], we formulate an infinite-dimensional optimization problem whose decision variables are the MA([Formula: see text]) coefficients that characterize a stationary ordering policy. Under full information sharing, the optimization problem admits a simple solution and the optimal policy is given by an MA(1) process. On the other hand, to solve the optimization problem under no information sharing, we reformulate the optimization from its time domain formulation to an equivalent z-transform formulation in which the decision variables correspond to elements of the Hardy space H2. This alternative representation allows us to use a number of results from H2 theory to compute the optimal value of [Formula: see text] and characterize a sequence of ϵ-optimal inventory policies under some mild technical conditions. By comparing the optimal solution under full information sharing and no information sharing, we derive a number of important practical takeaways. For instance, we show that there is value in information sharing if and only if the retailer’s optimal policy under full information sharing is not invertible with respect to the sequence of demand shocks. Furthermore, we derive a fundamental mathematical identity that reveals the value of information sharing by exploiting the canonical Smirnov–Beurling inner–outer factorization of the retailer’s orders when viewed as an element of H2. We also show that the value of information sharing can grow unboundedly when the cumulative supply chain costs are dominated by the supplier’s inventory costs. Funding: R. Caldentey acknowledges the University of Chicago Booth School of Business for financial support. Supplemental Material: The online appendix is available at https://doi.org/10.1287/moor.2023.0008 .

This study looks at how sharing information and working together in the supply chain affect the performance of small and medium herbal businesses in Batam. It also explores how innovation ability plays a middle role in this relationship. The research used a quantitative method by giving questionnaires to 198 herbal businesses in Batam and analyzing the results using Partial Least Squares Structural Equation Modeling.The results show that information sharing has a significant positive effect on both performance and innovation capability. In contrast, supply chain collaboration and innovation capability do not significantly influence performance, and innovation capability does not mediate the relationship between information sharing or supply chain collaboration and performance. These findings highlight the importance of information sharing in enhancing competitiveness, while collaboration and innovation still require further optimization. Practically, enterprises are encouraged to adopt digital platforms for information sharing and strengthen strategic cooperation with suppliers, while government support is needed through technology and innovation training. This study is limited to Batam with cross-sectional data, suggesting that future research should examine external factors such as digitalization and global market dynamics.

In 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.

Purpose– The purpose of this empirical research is to attempt to explore the effect of information security initiatives (ISI) on supply chain performance, considering various intra- and inter-organization information security aspects that are deemed to have an influence on supply chain operations and performance.Design/methodology/approach– Based on extant information security management and supply chain security management literature, a conceptual model was developed and validated. A questionnaire survey instrument was developed and administered among supply chain managers to collect data. Data were collected from 197 organizations belonging to various sectors. The study used exploratory and confirmatory factor analysis for data analysis. Further, to test the hypotheses and to fit the theoretical model, structural equation modeling techniques were used.Findings– Results of this study indicate that ISI, comprising technical, formal and informal security aspects in an intra- and inter-organizational environment, are positively associated with supply chain operations, which, in turn, positively affects supply chain performance.Research limitations/implications– This study provides the foundation for future research in the management of information security in supply chains. Findings are expected to provide the communities of practice with better information security decision-making in a supply chain context, by clearly formulating technical, formal and informal information security policies for improving supply chain performance.Originality/value– In today’s global supply chain environment where competition prevails among supply chains, this research is relevant in terms of capability that an organization has to acquire for managing internal and external information security. In that sense, this study contributes to the body of knowledge with an empirical analysis of organizations’ information security management initiatives as a blend of technical, formal and informal security aspects.

Many companies have tried to get the competitive advantage through the effective supply chain management. To manage the supply chain effectively, many strategy based on the shared information among the entities in supply chain has been developed. Although the supply chain members agree with the idea that the policy based on the shared information will be beneficial to improve the effective supply chain, they are reluctant to share their information owing to some barriers such as the expensive technology investment, personnel training and lack of mutual trust. The benefit from the sharing information may vary according to the supply chain environment. According to an environment of supply chain, the profit gained through the policy based on the shared information may be too low to collect the invested amounts or high enough to give proper compensation. To gain this insight, we analyze the impact of the Vendor Managed Inventory, which is one of the popular supply chain strategy based on the share information, in various supply chain environment. The simulation experiment shows in which environment their benefit from the policy based on the shared information will be increased (or decreased).

PurposeThe purpose of this paper is to present a conceptual supply chain (SC) hierarchical framework to measure the effectiveness and efficiency of the collaborative SC based on the Maslow’s hierarchy of needs and supply chain integration (SCI), supply chain visibility (SCV) and information sharing (IS).Design/methodology/approachMultimethods were applied. The first part of the research was undertaken using a deductive approach with rigorous and systematic analysis of the research material and the use of a survey instrument. The data collected through the survey are analysed and presented with descriptive statistics and cross-tabulations. The second part of the research is an extension of the analysis of the first part linking with the Maslow’s hierarchy of needs to form the basis for development of the SCI hierarchy.FindingsThe levels of SCI, SCV and IS are significantly different for organisation dimensions such as size, industry type and region of operations. The SCI hierarchy based on Maslow’s hierarchy of needs provides a number of indices to measure the effectiveness of SCI, IS, SCV in a collaborative SC.Research limitations/implicationsThe research focusses only on manufacturing, 3PL, fast-moving consumer goods and retail industries.Practical implicationsThe research work provides some insights for practitioners on best practices for SC collaboration and measurement of collaborative effectiveness.Originality/valueThe primary value of this paper is the development of standardized levels of SCI, IS and SCV and the proposed measurement of the collaborative effectiveness of the SC. It could be a proposed approach for empirically evaluating the levels of SCI, IS and SCV subject to organisational dimensions.

Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model

Agriculture sector plays very crucial role in the economic growth of India. For sustaining its further growth, supply chain of agriculture sector needs to be strengthened. Agriculture sector is facing lot of challenges due to poor infrastructure, unorganised retail market, poor adoption of modern technology and overall inefficient supply chain. There is strong need to develop linkages between farmers and food processors and markets. Lack of coordination is the major problem in food supply chain. It is causing major loss to country as a whole. This study has tried to identify major factors responsible for coordination in the food supply chain. Further, a framework has been developed to quantify the effectiveness of coordination in the supply chain. This has been further illustrated with a case of food supply chain. This framework can be also useful for supply chains from other sectors to quantify its effectiveness and further improve their respective performance.

This research investigates the impact of external environment, cognitive factors, and behavioral dimensions in the context of implementing supply chain agility. It applies social cognitive theory to establish a link between various environments including business uncertainty and supply chain disruption risk, cognitive factors such as supply chain agility self-efficacy, trust, and supply chain cooperation, coordination, and communication attitude, and actions such as implementing supply chain agility as well as behavior to explain the decision-making process in implementation. Based on the survey data collected from 254 supply and purchasing managers in the Korean manufacturing industry, AMOS software with structural equation method was used for data analysis Our results support the concept that business uncertainty reduces self-efficacy in supply chain agility although both business uncertainty and supply chain disruption risk boosted trust in the supply chain as well as buyers’ positive attitude toward supply chain cooperation, coordination, and communication. The concept of supply chain agility, self-efficacy, trust, and supply chain cooperation, coordination, and communication attitude have a positive impact on firm performance. Supply chain agility, self-efficacy, and trust in suppliers positively affects implementation of supply chain agility as well as firms’ financial, operational, and supply chain performance. This research provides meaningful insights for considering external environments and cognitive factors while making decisions in implementing supply chain agility.

This research aims to observe the impact of bullwhip effect on supply chain performance, the research is focused on how the bullwhip effect distorts the information sharing and to what extent that distortion effects the supply chain performance of a firm. This research also explains that the quality and quantity of information sharing deeply effects the supply chain performance. It tries to establish the fact that if the information is accurate and is shared timely, this can lead to increased performance, it also emphasizes on the importance of the supply chain integration and partner’s relationship in mitigating the bullwhip effect.
 This research study will serve as an important contribution to the filed of supply chain management, as such type of research has not been conducted earlier by keeping the Pakistani firms as the unit of analysis. The study reveals that through proper, timely and accurate exchange of information between an enterprise and its supplier the firm can lessen uncertainty, order fulfillment rate is improved, costs is reduced and can ultimately increase the performance.
 The study reveals that bullwhip effect strongly effects the information and its flow, but if the information is managed properly and its quality is increased then it results in strong partner relations which leads to supply chain integration. It has been found that the supply chain integration strongly effects the supply chain performance of a firm, better the supply chain integration the better would be the performance of the overall supply chain

Purpose The purpose of this paper is to investigate the complex interrelationships among the key constructs, supply chain orientation (SCO), supply chain integration (SCI) and supply chain performance (SCP) in Indian manufacturing industries. These relationships have been studied using the relational view (RV) and the knowledge-based view (KBV) theoretical perspectives. Design/methodology/approach The conceptual model was derived from the existing body of knowledge in the supply chain domain. The study is based on a sample size of 122 data collected via face-to-face meetings with the Indian manufacturers using well-established scales. The covariance-based structural equation modeling was used to test the proposed hypotheses. Findings In Indian manufacturing and supply chains, SCO has a positive relationship with SCI and SCP. Moreover, the direct impact of SCO on SCP diminishes when SCI is used as a mediating variable. This study also observes positive impact of: i) SCO on SCP, ii) SCI on SCP and iii) discovery of mediating role of SCI on SCP under the theoretical lenses of RV and KBV. Research limitations/implications Cross-sectional survey of manufacturing firms of one country (using one response per firm) calls for validation covering other parts of the world and demands a longitudinal survey. This research will trigger more scholarly, practice and policy debate among researchers studying Indian and emerging economies context. Practical implications The notion of a holistic view of the SC with a focus on improving the customer value can enhance strategic partnerships among the SC partners (i.e. SCI) and overall SCP. Firms should make efforts to include SCI in SC designs to successfully transform SCO into SCP. Originality/value The originality of the research lies in studying the complex interrelationships among key concepts of SC in a unique Indian manufacturing context. The Indian supply chains operate in a set of unique characteristics, which have been detailed out in this paper. This paper not only establishes the mediating role of SCI for overall SCP in emerging economies but also enhances the scholarly knowledge in the SC domain. Most studies report SCO as a single-order construct, measured by scales comprising of only few items. The second-order SCO measures in this study bring credibility to the findings. Additionally, it contributes to both academicians and practitioners alike in the context of an integrated SC in emerging economies.

Measuring the influence of digital twins on the sustainability of manufacturing supply chain: A mediating role of supply chain resilience and performance

In the Big Data environment, aims of enterprises investing in Big Data are to gain Big Data information (BDI). To study the decision-making issues of BDI investment and its effects on supply chain coordination, a supply chain with one retailer and one manufacturer was chosen. Meanwhile, considering a company owned the internal BDI and the external BDI, the market demand function was revised and four decision models were proposed from a new perspective. Then, the effects of BDI investment on supply chain members’ benefits under the four models were analyzed and an effectively coordination tactic was presented for achieving supply chain coordination. Results indicated when the investment cost could face a certain threshold, the retailer or the manufacturer investing in BDI could increase its benefits. Meanwhile, there existed “positive externalities” for other supply chain members. In addition, after supply chain members investing in BDI together, revenue-sharing contract could coordinate the supply chain effectively. This article provided a theoretical guidance or a decision basis for companies investing in BDI, meanwhile, it had reference values for supply chain coordination after investing in BDI.