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The development of information technology has made it possible for companies to get access to information about their customers ' future demand. This paper outlines various approaches to utilize this kind of visibility when managing inventories of end products on an operative level. The purpose is to explain the consequences, for capital tied up in inventory, of sharing four different types of planning information (point-of-sales data, customer forecasts, stock-on-hand data, planned orders) when using re-order point (R,Q) inventory control methods in a distribution network.

A simulation study based on randomly generated demand data with a compound Poisson type of distribution is conducted.

The results show that the value of information sharing in operative inventory control varies widely depending on the type of information shared, and depending on whether the demand is stationary or not. Significantly higher value is achieved if the most appropriate types of information sharing are used, while other types of information sharing rather contribute to decreased value. Sharing stock-on-hand information is valuable with stationary demand. Customer forecast and planned order information are valuable with non-stationary demand. The value of information sharing increases when having fewer customers, and when the order quantities are large. Sharing point-of-sales data is not valuable, regardless of the demand type.

The use of simulation methodology is a limitation, because the study has to be limited to a specific model design, and because it is not based on primary empirical data. The study is especially limited to dyadic relationships in supply chains, and to distribution networks with a rather limited number of customers.

Guidance is given about what type of information should be appropriate to share when different types of demand patterns and distribution networks, and how order batch sizes and lead times affect the value of information sharing when using re-order point (R,Q) methods.

Very limited research providing specific assessments of potential inventory control consequences when sharing planning information in various contexts has been found in the literature. The findings and conclusions also question some previous research on information sharing.

This study looks beyond firm boundaries to depict supply chain (SC) adaptability and classifies it into internal, customer and supplier dimensions to investigate their performance implications, respectively. This study also examines the enablers of SC adaptability based on information processing theory.

This study applies the structural equation modeling method to investigate relationships among SC information sharing, SC adaptability and operational performance using data collected from 216 manufacturers in China.

Internal information sharing has a positive impact on three dimensions of SC adaptability, whereas supplier and customer information sharing only have a positive impact on supplier adaptability. Customer and supplier information sharing interact to positively influence the three dimensions of SC adaptability, while internal and customer information sharing interact to negatively affect customer adaptability. We also find that all the three dimensions of SC adaptability can enhance operational performance.

This study contributes to providing a holistic definition of SC adaptability and classifies it into three dimensions. It also investigates antecedents and performance outcomes of SC adaptability.

This paper seeks to investigate the value enterprise customers perceive in information sharing services and the consequences of that perceived value for relationship intention.

An impact model was developed to assess the associations between the functional and relational value perceived by enterprise customers in regards to information sharing services and their relationship commitment and loyalty intention. The model was tested on 81 firms which had participated in e‐business projects subsidized by the Taiwan Government. Partial least squares was conducted to assess hypothesized information sharing marketing effects.

The findings suggest that functional and relational value enterprise customers perceive in information sharing services will positively influence their relationship intention.

The proposed model provides an expanded view of the marketing effects of an information sharing service. Researchers believe this work to be a starting point for the research of the marketing effects of an information sharing service.

The research results of this study reveal that information sharing not only can be used to support supply chain activities (i.e. facilitating supply chain management), but also can be used to support marketing activities (i.e. enhancing customer relationships).

This study aims to analyze the effects of information sharing on customer relationship intention (CRI) based on the characteristics of different trading relationships.

This research was conducted in two phases to explore the effects of information sharing on relationship intention of different customer segments. The objective of phase one was to segment different customer groups according to two criteria: customer relationship value and customer responsiveness. The objective of phase two was to analyze the impact of information sharing on these segmented customer groups.

Data from 239 customers of a large steel supplier indicate that information sharing positively influences CRI and that the characteristics of the trading relationship moderate the effects of information sharing. These findings suggest that, while information sharing is an important means of enhancing a customer relationship, not all types of customer should be treated the same way.

Assessment of customer intention depends on the structure of the buyer‐supplier network. Other extraneous variables such as branding, industrial position and bargaining power may influence customer attitudes towards information sharing‐induced changes.

This paper contributes to the understanding of the effects of different levels of information sharing on different customer clusters differentiated by trading relationship characteristics.

The purpose of this paper is to investigate customer responsiveness in the hotel industry, and the role of market orientation including both internal and external information sharing.

Based on a review of the supply chain management and marketing literature, a conceptual model was constructed and tested based on a survey of European hotel managers using PLS path modeling.

Market orientation seems to be an important basis for cross‐functional and inter‐organizational information sharing. Information exchange, both internal and external, can explain over 50 percent of customer responsiveness, as perceived by hotel managers.

The study mainly focused on European four‐ and five‐star hotels. The final sample is considered representative, but relatively small (50 respondents). The observed importance of information sharing warrants further investigation.

While many hotel managers may focus on cleanliness, comfort of rooms, quality of food and friendliness, it seems that both internal and external information sharing are important antecedents of customer responsiveness, and hence satisfaction and loyalty.

This paper, by combining marketing and supply chain management concepts into one model, offers new insights into the hotel business. Customer responsiveness can be improved through market orientation and information sharing.

Information sharing helps improve the efficiency of the supply chain. However, there are some problems in the multi-stage structure supply chain, such as untimely information feedback and distortion. Despite recent progress in ensuring improved collaboration in the past decade or so, the inefficiency status continues to persist. It is also difficult to add value to the supply chain. The information sharing framework and decentralized model designed in this paper are to deal with existing problems.

This paper is based on the theoretical research of supply chain information asymmetry and synergetics. We attempt to introduce blockchain technology into supply chain operation management, reconstruct information sharing architecture and provide a new decentralized mode to promote the collaborative operation of all nodes. The information sharing and decentralization operational model are built, which has changed the hierarchical relationship between upstream and downstream enterprises, regarding customers as the center of the whole system and effectively reducing the bullwhip effect. Finally, we selected the home supply chain as an example design and performed system dynamics simulation on the blockchain-based operation process.

The model of setting up the scene application mode based on blockchain is helpful to realize the goal of supply chain management to reduce cost, improve quality and enhance the overall efficiency of the system.

Based on the blockchain technology, this paper constructed a new supply chain operation mode and used the synergetic theory and the concept of the product–service system to explain the process of value increment in detail.

The purpose of this paper is to find the effect of different types of information sharing on the competitive strengths of the Indian manufacturing enterprises.

The paper is based on the responses received from the Indian manufacturers to a questionnaire based survey. Statistical analysis has been done to identify the relationship with the type of information sharing and the competitive strengths of the manufacturing enterprises.

It is observed that information sharing has significant impact on the competitive strengths of the manufacturer in order winning parameters like cost effectiveness and service level.

The paper reflects Indian manufacturing perspective and only positive impacts of the information sharing has been discussed in the paper.

The paper verifies that the various types of information sharing can lead firms to acquire different competitive strengths. Managers should focus on right information sharing in their way to enhance particular competitive strength.

This paper aims to focus on supply chain visibility in practice and to suggest ways to improve the supply chain performance through information sharing.

A case study exploring the current state of visibility in the demand‐supply network of an original equipment manufacturing company was carried out. The goal was to understand how a manufacturing company and its suppliers can benefit from incremental demand information sources. Data were collected through interviews and data analyses and focused on an end‐to‐end view of demand information. The most relevant information uses were tested in pilot projects. A literature review on demand information sources and benefits of visibility was conducted.

On the basis of the case results and a literature survey, five proposals on how to improve visibility are presented. They suggest that only information that improves supply chain performance should be shared, demand‐supply planning processes be stabilized and synchronized, different demand data sources should be used in parallel, customer collaboration offers a wider view to demand, and that suppliers' need for demand information differs from those of downstream actors.

The paper proposes solutions to managers on how they can benefit from improved access to demand information.

The paper shows, via case study and literature review, how information sharing can improve supply chain performance.

This paper aims to empirically explore demand-related information sharing in the extended supply chain.

Through a single, embedded case design, a range of methods are used to collect data from companies representing three different supply chain tiers, including focal company, first-tier suppliers and first-tier customers. The collected data are analysed through the theoretical lens of interdependence.

The findings indicate that the supply chain actors adapt information sharing to the pooled, serial or reciprocal type of interdependence. Information sharing is thus increased with key dyadic partners representing, for example, unique offerings and high market shares as percentage of total expenditure/sales. The study also unearths several barriers to information sharing beyond dyadic ties, including problems related to dis-aggregated, misinterpreted and/or incomplete information.

The study empirically contributes to the existing literature by exploring information sharing in the extended supply chain and by suggesting different approaches to information sharing depending on the type and intensity of interdependence between supply chain partners. Further, the paper contributes to the existing literature on barriers of information sharing in supply chains by identifying barriers specific to multi-tier information sharing. “Meta-information” (i.e. information about the shared information) is needed to overcome some of the barriers of sharing information in cases of weak, pooled interdependencies in the supply chain.

Similar to previous empirical research, this exploratory study indicates that companies, in general, refrain from sharing information beyond dyadic ties. Supply chain managers would instead mostly focus on stronger, reciprocal interdependencies and emphasise dyadic information sharing. To further guide managers, a demand profiling framework considering market share and demand uncertainty is presented. It may be interesting to engage in multi-tier information sharing in particular cases where strong interdependence exists between three or more partners.

This study contributes to existing research on information sharing in supply chains by empirically studying information sharing in an extended supply chain, applying interdependence theory as its analytical framework and unearthing several barriers that are specific to multi-tier information sharing.

This study aims to highlight the impact of information acquisition confidence and social outcome confidence on information search and information share intention. Moreover, the role of subjective knowledge is analyzed as a mediating variable among these relations.

This study conducted a survey which generated 233 valid responses. The data were analyzed using component factor analysis and structural equation modeling. Whereas, to examine the mediating effect, Hayes and Preacher (2008) model for statistical mediation analysis was used.

The results mainly supported the model by confirming that subjective knowledge, information acquisition confidence and social outcome confidence are positively related to information search intention. No association between information acquisition confidence and information sharing intention was found. The study's findings also suggested a positive association of social outcome confidence, subjective knowledge and information acquisition confidence with information share intention. Moreover, the results revealed that there is a significant and positive mediating effect of subjective knowledge between information acquisition confidence and information search intention. Subjective knowledge also acts as a mediator in the relationship between social outcome confidence and information sharing intention.

This study will be helpful for marketers and policymakers for designing marketing strategies which can enhance the flow of information. Moreover, this study will ensure the importance of information to marketers.

This paper fulfills an identified need to study the impact of consumer information acquisition confidence, social outcome confidence on information search and sharing with mediating role of subjective knowledge.