Showing papers on "Information sharing published in 2022"

Impact of COVID-19 pandemic on perishable food supply chain management: a contingent Resource-Based View (RBV) perspective

Abstract: PurposeThis study investigates the impact of supplier visibility on the adoption of sustainable practices and supply chain performance. The paper applies contingent Resource-Based View to explain how information sharing with customers and suppliers and supply chain traceability has influenced visibility; visibility has impacted supply chain velocity sustainable practices, and finally, supply chain performance.Design/methodology/approachThis research analyses 263 survey responses from UK retail (grocery) stores' executives and managers for perishable food during the COVID-19 pandemic.FindingsThe research results indicate that both supply chain traceability and information sharing (customers) positively influence visibility. Further, visibility positively influences the adoption of sustainable practices and velocity, positively impacting supply chain performance. However, information sharing with the customer has no significant influence on performance, and information sharing with the supplier has no significant relationship with visibility.Originality/valueThis research is the first attempt that explores the contingent Resource-Based View for the perishable food supply chain. Further, the empirical evidence provides meaningful insights for academics and industry by filling a crucial lacuna in the literature.

Using Blockchain to Improve Information Sharing Accuracy in the Onsite Assembly of Modular Construction

Abstract: Onsite assembly is a critical stage for modular construction. Its success or failure depends on accurate information sharing among numerous stakeholders who, unfortunately, often possess unsynchronized information. Owing to its decentralized consensus mechanism, blockchain has the potential to improve information-sharing accuracy on construction sites. However, little research has documented how this can be done. Adopting a design science research (DSR) method, this study aimed to explore the use of blockchain technology to improve information-sharing accuracy in the onsite assembly of modular construction (OAMC). First, an OAMC business process analysis was conducted to understand the issues leading to information sharing, in particular its accuracy. Then, a blockchain-based conceptual model was developed. Its components, such as membership registration, information sharing-request, ordering service, consensus mechanism, and distributed storage, were described. Finally, a prototype system was developed and validated in a mock-up OAMC. The results show that the prototype system can improve the accuracy of information sharing in OAMC by allowing project participants to endorse information about the modules and their assembly through the blockchain’s consensus mechanism. This study explores and implements blockchain technology in a specific construction area. It can serve as a valuable reference for future endeavors in harnessing the power of blockchain technology, particularly for mobilizing information endorsement mechanisms for various value-added applications.

Perceived Information Overload and Unverified Information Sharing on WeChat Amid the COVID-19 Pandemic: A Moderated Mediation Model of Anxiety and Perceived Herd

Abstract: Individuals’ unverified information sharing on social media, namely, sharing information without verification, is a major cause of the widespread misinformation amid the COVID-19 pandemic. The association between perceived information overload and unverified information sharing has been well documented in the cognitive overload approach. However, little is known about the underlying mechanism of this process. This study aims to explore the mediating role of anxiety and the moderating role of perceived herd between perceived information overload and unverified information sharing on WeChat. Anxiety demonstrates people’s emotional response to the pandemic, whereas perceived herd describes a willingness to share certain information if it has been shared by many. The results of an online survey in China (N = 525) showed that perceived information overload was positively associated with unverified information sharing. In addition, this relationship was partially mediated by anxiety. Moreover, perceived herd positively moderated the link between anxiety and unverified information sharing, such that the indirect effect of perceived information overload on unverified information sharing via anxiety was significant in conditions where the level of perceived herd was high, whereas the indirect effect was not significant in conditions where the level of perceived herd was low. The moderated mediation model extends the cognitive overload approach and indicates that unverified information sharing is not only an individual strategy to cope with information overload but also a herding behavior to manage anxiety. Practical implications for curbing people’s tendencies toward unverified information sharing on social media are discussed.

Blockchain application in modern logistics information sharing: a review and case study analysis

Abstract: In the traditional logistics industry, asymmetric information, issues with goods’ authenticity, and insufficient security can hinder business transactions, which induces high operating costs and is time-consuming. With its decentralisation, transparency, high security, and resistance to tampering, blockchain technology can effectively solve these issues. In this study, we designed a two-stage analysis scheme to identify and summarise how blockchain has been applied in modern logistics information sharing and its challenges. The latent Dirichlet allocation topic model was employed with 2465 selected studies to summarise the application scenarios. These data were used to create a blockchain integration framework to determine the optimal use of blockchain in modern logistics information sharing. Six key areas were identified: supply chain finance, logistics tracking, logistics collaboration, process optimisation, data security management, and logistics business mode innovation. Then, three typical real-world cases were analysed, and managerial recommendations to boost blockchain adoption in this industry are proposed.

Impact of information technology and knowledge sharing on circular food supply chains for green business growth

Abstract: Rapid and dynamic changes in environment, technologies, consumer behavior, policy making, and climate are putting extra pressure to food supply chain, especially in terms of efficiently manage food security, food surplus, food loss, and waste. These changes directly affect food supply chain negatively. Thus, transition into more circular approach for green business growth in food supply chains is a necessity. One way to reduce this negativity is to ensure the share of information along the chain. With this context, sharing information and knowledge among the food supply chain can facilitate practices from a circularity and green perspectives. Hence, this research focuses on understanding and revealing knowledge-sharing networks challenges, barriers, and benefits across every food supply chain layer, presenting tangible contributions to improve traceability in circularity perspectives with refuse, rethink, reduce, reuse, repair, refurbish, remanufacture, repurpose, recycle, and recover challenges. Therefore, and to provide a green business growth, this study examines the practice of knowledge sharing among real-life industry food stakeholders in the meat sector regarding their dimensions, what type of knowledge is shared and whether there are differences among specific groups of food stakeholders for the knowledge sharing. The aim of this research is to generate a validated conceptual framework to reveal how information technologies contributes to a more efficient knowledge sharing practices, hence, to impact the enhancement of efficient circular food supply chains for green business growth.

Bibliometrix analysis of information sharing in social media

Abstract: Abstract Social media has evolved at a rapid pace, influencing every aspect of the global community. The purpose of this paper is to use bibliometric analysis tools to evaluate valid works on the relationship between social media and information sharing. A review study of research papers on social media and information sharing published between 2009 and 2020 was conducted. The bibliometric analysis identified the following characteristics: (1) the primary articles are based on information sharing through social media; (2) the main authors deal with information sharing in social media; (3) the newestrend topics related to information sharing in social media are demographic characteristics, cognition, sentiment, healthcare, products and services recommendations, tourist recommendations, and COVID-19. The results show significant impact rates in studies of information sharing in social media. Overall, this study serves as a basis for new scientific questions that will contribute to the further development of this research field.

Agency encroachment and information sharing: cooperation and competition in freight forwarding market

Abstract: ABSTRACT The information exchange between the forwarder and vessel operating common carrier (VOCC) directly leads to a shortage or surplus of capacity and influences operational efficiency. Meanwhile, the development of information technology has inspired VOCCs to establish online booking platforms, which has changed the traditional booking behavior of shippers. Thus, this paper investigates the equilibriums of platform encroachment and information sharing with two symmetric VOCCs and a forwarder. Using a game-theoretic model, it can be characterized as Stackelberg-Nash game with Bertrand competition to determine whether to encroach existing freight forwarding market and share information or not. We observe whether freight forwarder shared information is affected by the encroachment strategy of VOCCs and the market demand state. Further, the encroachment strategy can prompt freight forwarder to share information with VOCCs if the magnitude of high demand is lower. In addition, for VOCCs, the best chance of establishing online platforms is when the magnitude of high demand is relatively low, not when the demand state has increased.

Renovating the retrofit process: People-centered business models and co-created partnerships for low-energy buildings in Norway

Abstract: Building energy retrofit is not only an efficient approach to increase energy efficiency through technical installations, but also has great potential to improve social acceptance through co-creation. However, there are many existing residential buildings with low energy efficiency in need of retrofit, which is currently not being done. This paper aims to examine the barriers to conducting the residential building retrofit and co-created a suitable business model to overcome these challenges and improve social acceptance. Thirty-nine deep interviews and a workshop with representatives from people (residential building owners), public and private sectors were conducted. The results show that the barriers include lack of information sharing and consulting, limited resources and knowledge, and risks of not achieving the expected energy efficiency. Then a public–private-people partnerships (PPPP) business model is co-created to overcome the barriers by improving information sharing, making use of operational experience and financial resources from the private sector, as well as political and financial support from the public sector. Furthermore, the results illustrate the value of co-creating, by considering how the different sectors’ wishes can be negotiated. It includes agility to adapt to the complex challenges by being open to ongoing suggestions instead of established planning and the scope to lead to new cooperation among the different sectors in the co-creation communication process. For further study, more workshops with participants from a wider range of backgrounds are needed to further refine the model and explore an efficient method to balance the power of different participants in the co-creation process.

Supply Chain Inventory Sharing Using Ethereum Blockchain and Smart Contracts

Abstract: Information sharing is essential for coordination and stakeholder integration and is crucial to achieving sustainable supply chain operations. Furthermore, improved information sharing assists retailers by reducing the time spent looking for alternative suppliers to meet the unexpected demand surge during pandemics. Recent advances in networking and distributed ledger technologies have enabled secure, improved information communication and broader connectivity. However, due to system interoperability, information quality, confidentiality, and trust, information cannot be exchanged seamlessly, resulting in the inefficiency of managing supply chain operations. In this paper, we propose a blockchain-based inventory sharing approach based on smart contracts using a private Ethereum network to link suppliers and retailers. Our approach combines blockchain technology with decentralized storage to increase transparency, trust, and security of supply chain transactions. We present a generalized mechanism for secure information sharing that includes comprehensive algorithms to capture supply chain stakeholder interactions that enhance trust among participating entities. The smart contract was developed and validated using the Remix IDE, and the code is made publicly available on Github. We analyze the solution for various security vulnerabilities and provide a detailed cost analysis for various stakeholder transactions in the supply chain. Our solution demonstrates that a blockchain-based approach reduces inefficiencies, is economical, commercially viable, and provides improved information connectivity among supply chain stakeholders in a trusted and secure way.

An explainable assistant for multiuser privacy

Abstract: Abstract Multiuser Privacy (MP) concerns the protection of personal information in situations where such information is co-owned by multiple users. MP is particularly problematic in collaborative platforms such as online social networks (OSN). In fact, too often OSN users experience privacy violations due to conflicts generated by other users sharing content that involves them without their permission. Previous studies show that in most cases MP conflicts could be avoided, and are mainly due to the difficulty for the uploader to select appropriate sharing policies. For this reason, we present ELVIRA, the first fully explainable personal assistant that collaborates with other ELVIRA agents to identify the optimal sharing policy for a collectively owned content. An extensive evaluation of this agent through software simulations and two user studies suggests that ELVIRA, thanks to its properties of being role-agnostic, adaptive, explainable and both utility- and value-driven, would be more successful at supporting MP than other approaches presented in the literature in terms of (i) trade-off between generated utility and promotion of moral values, and (ii) users’ satisfaction of the explained recommended output.

Multi-Chain Collaboration-Based Information Management and Control for the Rice Supply Chain

Abstract: The issue of food quality and safety is a major concern. Rice is considered one of the three staple foods. Rice quality and safety problems have occurred frequently, which seriously affect human health. The rice supply chain is characterized by complex links, discrete data, and numerous types of hazardous substances. Strengthening the information management and control capabilities of the rice supply chain is an important means to ensure the quality and safety of rice. Based on multi-chain collaboration, we have conducted research on information management and control of the rice supply chain. First, a multi-chain collaborative model of “blockchain + sub-chain” is designed. Based on this model, the following four mechanisms are designed: a trusted chain mechanism, a multi-level sub-chain encryption mechanism, a trusted supervision mechanism, and a hierarchical consensus mechanism. These mechanisms jointly serve the multi-chain collaborative management and control of the rice supply chain information. Secondly, smart contracts and operating procedures are designed, and a comparative analysis of them is executed. Finally, the design and implementation of the prototype system is carried out, and an example is verified and analyzed in a grain enterprise. Results show that this model serves the information supervision of the rice supply chain by studying the multi-chain collaboration. The study solves the real-time data interaction problem between each link of the rice supply chain. The credible management of information and control of the rice supply chain is accomplished. This study applies new information technology to the coordination and resource sharing of the food supply chain and provides ideas for the digital transformation of the food industry.

Purchasing realized absorptive capacity as the gateway to sustainable supply chain management

Abstract: PurposeCompanies' ability to build sustainable supply chains and achieve strategic sustainability objectives largely depends on their supply network characteristics and the nature of the relationships with strategic suppliers. This poses the question of how purchasing departments can help to translate this sustainability commitment into performance benefits. The authors focus the attention on buyer-supplier information sharing practices and study how the availability of information interplays with the purchasing realized absorptive capacity (PRAC) to positively impact performance (operational, environmental and social).Design/methodology/approachThe study collected data from 305 procurement executives in four European countries and tested the hypotheses empirically using structural equation modeling. Mediation analysis is used to test the effect of PRAC on the relationship between buyer-supplier information sharing and performance.FindingsThe results show that increasing buyer-supplier information sharing is sufficient to obtain a positive impact on operational performance. To improve purchasing sustainability performance, companies need to develop their PRAC to adequately transform and exploit external information and identify opportunities in the environmental and social areas. Thanks to these purchasing capabilities, organizations can overcome potential trade-offs between different performance dimensions.Originality/valueIn the context of collaborative buyer-supplier relationships, this study is one of the first to propose purchasing knowledge management capabilities (i.e. PRAC) as a key factor to improve multiple performance dimensions. Additionally, it captures different sustainability aspects, concluding that organizations can improve purchasing operational, environmental and social performances by implementing appropriate information sharing mechanisms with suppliers and developing their PRAC.

Theoretical and practical applications of blockchain in healthcare information management

Abstract: A primary objective of blockchain technology is to address information security and efficiency issues related to existing information sharing systems. For the sharing of health records, little is known about the application of blockchain in management information systems. There are strict regulations for sharing health information due to insecure systems and privacy concerns. To significantly and effectively improve medical diagnosis, it is beneficial to have efficient, reliable, and accurate accessibility to a patient's full medical history. Due to concerns with the security of health systems and privacy concerns, medical histories are not always accessible to healthcare providers. To help increase accessibility options, this research proposes a blockchain-based model that facilitates sharing medical records in a manner that is beneficial to both healthcare providers and patients. Social exchange theory provides the theoretical support for the conceptual model presented. Experimental findings based on 151 participants revealed that the blockchain technology can provide a secure information system and increase patient motivation to share medical records. To show the applicability of the proposed use of blockchain from a practical managerial perspective, we show feasibility by developing an Android software application.

The Mediation Effects of Social Media Usage and Sharing Fake News about Companies

Abstract: Trust in social media information is gaining in importance and relevance for both companies and individuals as nowadays contemporary society is confronted with a wave of fake news about daily life situations, brands, organizations, etc. As it becomes more difficult to accurately assess social media information and to determine its origin or source, as well as to be able to double-check information spread across different Social Networking Sites (SNS), businesses must understand how individuals’ perceived control, concentration, and time distortion enhances the social media usage, thus allowing them to correctly assess online information. Therefore, the scope of the paper is to assess, based on a conceptual model, the antecedents of trust in online information about companies by considering users’ perceived control, concentration, and time distortion, while browsing social media networks and sharing fake news about companies in SNS. With the help of an online survey, data was collected from social media users, later being analysed with SmartPLS. The findings suggest that social media usage and sharing of fake news mediate the relationship between users’ perceived control, concentration, and time distortion (i.e., flow characteristics) and trust in online information about companies.

The relationship between needs, motivations and information sharing behaviors on social media: focus on the self-connection and social connection

Abstract: PurposeThe purpose of this study is to investigate the factors that influence the information sharing behavior of individuals on social media. Furthermore, the study analyzes the effect that individuals’ self-connection to social media has on information sharing through self-efficacy and the effect of social-connection on information sharing through empathy.Design/methodology/approachA survey questionnaire was developed and distributed to social media users from general participants in the Republic of Korea. A total of 824 valid responses were obtained. Hypotheses were tested using structural equation modeling and applying SmartPLS 3.0.FindingsThe result indicated that individuals are motivated to share information through self-connection and social connection. Furthermore, the mediation analysis revealed that the effect of self-connection on information sharing in social media is mediated by self-efficacy. Also, social connection will increase information sharing not only directly but also indirectly through its positive effect on empathy.Originality/valueThe authors focused on the basic needs of humans and tried to reveal the relationship between human needs and motivational beliefs, which are self-efficacy and empathy, and information sharing behavior on social media. Through the individual's fundamental needs that social media can satisfy, individuals will gain positive psychological benefits through using social media. This study considered what psychological benefits social media can provide.

Design of Social Responsibility Incentive Contracts for Stakeholders of Megaprojects under Information Asymmetry

Abstract: Social responsibility is essential to the sustainable development of megaprojects. A transparent and symmetrical information-sharing mechanism is an important guarantee for promoting megaproject stakeholders to fulfill their social responsibilities and improve project efficiency. Aiming at the problems of megaproject subcontractors concealing social responsibility information, which leads to unsmooth information channels and low project efficiency, this paper compares and analyzes the single-stage revenue-sharing model under symmetric and asymmetric information from the perspective of incentive contract design. Then, a two-stage incentive contract with multiple indicators under asymmetric information is designed using principal-agent theory. The research results show that the social responsibility effort level of the general contractor and the total project revenue is positively correlated with the input–output ratio, and is negatively correlated with the degree of information opacity of the subcontractor’s social responsibility. Incentive contracts with multiple indicators in stages can effectively encourage subcontractors to disclose social responsibility information, and reduce information asymmetry, therefore enhancing social responsibility and improving overall project efficiency. This research transforms the research on the social responsibility of megaprojects from qualitative to quantitative. The research results provide theoretical methods and decision-making basis for megaproject general contractors to encourage subcontractors to improve social responsibility.

Assessing Emergency Information Sharing between the Government and the Public during the COVID-19 Pandemic: An Open Government Perspective

Abstract: Abstract This study aims to conduct an assessment of emergency information sharing between the government and the public during the COVID-19 pandemic. Specifically, this study intends to explore how the government provides emergency information on the pandemic to the public, how the public provides input to the government, and how the government and the public work together to respond to the pandemic. This study employed a mixed case study method focusing on the Oregon Citizen Assembly on COVID-19 Recovery and the Oregon State Government’s pandemic response activities. This study found that ordinary citizens were overall satisfied with pandemic information provided by the state government, but they reported that they did not have sufficient opportunities to share their input with the government. Online mini-publics can serve as a meaningful and deliberative forum for civic participation during pandemics.

Differential Game Model of Information Sharing among Supply Chain Finance Based on Blockchain Technology

Abstract: In the development of traditional supply-chain finance, the information asymmetry of all parties in the supply chain has become the primary problem hindering its development. Blockchain technology is an effective method to solve the problem of information silos. Based on differential game theory, this paper constructs a game model of supply-chain financial information-sharing behavior based on blockchain technology. Three scenarios of independent decision, the cost-subsidy mechanism of financial institutions, and dealers and collaborative decisions are studied, and the theoretical model is verified through a simulation algorithm. The results show that information sharing in supply-chain finance based on blockchain technology is much higher than that of traditional supply-chain finance, and the use of blockchain technology can promote more sustainable development of supply chains. Blockchain technology can effectively solve the information-silo effect, and the information sharing cost-subsidy mechanism can effectively relieve the cost pressure of information sharing and optimize the supply-chain structure. In addition, the amount of information and benefits shared among the three parties of supply-chain finance based on blockchain technology and the overall benefits show an increasing and stabilized trend over time. This study provides a reference for supply-chain finance members to reasonably choose the optimal strategic behavior.

An Enhanced Information Sharing Roadside Unit Allocation Scheme for Vehicular Networks

Abstract: Sharing up-to-date environment information collected by intelligent connected vehicles is critical in achieving travel comfort, convenience, and safety in vehicular networks. Individually collected information should be made available to other vehicular nodes, adjacent or distant, to achieve an informed and well-managed vehicular traffic. The coverage reach of sharing these road data can be maximized by allocating roadside units in strategic positions. In this work, we propose an Enhanced Information SHAring via Roadside Unit Allocation (EISHA–RSU) scheme that strategically determines where RSUs must be deployed from all spatial candidate locations. The urban area is irregularly partitioned into effective regions of movement (ERM) according to vehicular capacity with priority. For each ERM, EISHA–RSU greedily allocates the initial RSU to an effective position and optimally assigns the remaining RSUs to spatial locations that capture the maximum I2V/V2I information sharing based on the area’s average road speed. In effect, the proposed deployment scheme addresses both the issues of coverage and connectivity among vehicles and the infrastructure. We evaluate the proposed RSU allocation scheme by employing three urban empirical mobility datasets and compare its network starvation fairness, effectiveness, and efficiency performance measures with three other deployment benchmarks. Overall, EISHA–RSU reduces the number of required RSUs to cover a certain area, exhibits higher connectivity, and achieves maximum I2V/V2I information sharing among the evaluated schemes.