The phenomenon of copycats is common in a wide range of industries. Recently, to indicate product authenticity and combat copycats

Assistance on CABS Analyzing

conceptual / empirical	Abstract	RESEARCH QUASTION
QUAN	The phenomenon of copycats is common in a wide range of industries. Recently, to indicate product authenticity and combat copycats, many brand name companies (BNCs) have started selling products through retailers. These BNCs deploy a scalable protocol that is integrated into a permissioned blockchain technology (PBT) platform. We examine how PBT combats copycats in the supply chain and how it benefits BNCs. Although PBT implementation helps novice customers identify product authenticity and the real quality of products, that is, to take advantage of a quality disclosure effect, we show that, if and only if the number of novice customers is large enough, then selling through a PBT retailer can effectively combat copycats. Thus, PBT increases the profit of the BNC, consumer surplus, social welfare, and reduces the profit of a copycat. Moreover, conventional wisdom tells us that PBT ensures supply chain transparency and motivates a firm to improve its product quality. However, the BNC reduces the quality of its products when using PBT, because an improvement in product quality is not profitable if consumers can distinguish between genuine and imitation products. Furthermore, we extend the model by considering the case where the BNC itself implements PBT. Without the double marginalization effect, even if the number of novice customers is small, blockchain technology may exist in the market (the BNC self-implements). In addition, if the unit production cost of a genuine product is large enough, social welfare increases when production cost increases. © 2021 Production and Operations Management Society	RQ 1:Under what conditions can selling througha PBT retailer be an effective anti-copycat solution(i.e., increase the profit of BNCs, reduce the profitof copycats, and improve consumer surplus andsocial welfare)? RQ 2:How does PBT affect the choice of distribu-tion strategies for a BNC? RQ 3:What are the optimal pricing and qualitystrategies for a BNC with PBT?
QUAN	In this paper, we explore why users’ experiences with emerging supply chain technologies comprise inflated expectations followed by disappointment in the early stages of adoption, as per the Gartner Hype Cycle. We used “affordance theory” to study how managers perceive emerging technologies to explain their adoption experience. Affordance theory indicates that perceived benefits—and goals and constraints—depend on the interaction between technology and the users, not on the technology alone. First, we used the literature for two purposes: first, to obtain characteristics of blockchain, Internet of Things (IoT), and artificial intelligence (AI) as emerging technologies; and second, to itemize generic goals, affordances, and constraints in adopting any supply chain technology. Next, we asked 400+ supply chain managers to select those affordances, constraints, and goals that they viewed as pertinent to their organizations’ supply chains for whichever of these three technologies they were implementing. Finally, we compared the responses across technologies for individual respondents (who selected more than one technology) and within the pool of respondents. We found that respondents who selected more than one technology made distinct selections individually for the different technologies relevant to them. The pooled responses across all respondents, however, prioritized the aggregated goals, affordances, and constraints in the same way, regardless of the technology, the organization, or the network features of the supply chain. Overall, it appears that the characteristics of the technology do not inform user expectations at the early stages of adoption. This initial disconnect—between characteristics and expectation—may explain the “inflated expectations” followed by the early “trough of disappointment” with emerging technologies in the Gartner Hype Cycle, as users focus on obtaining the same benefits for the supply chain from any new emerging technology. Only subsequent shared experiences can lead to the long “slope of enlightenment.”. © 2022 The Authors. Production and Operations Management published by Wiley Periodicals LLC on behalf of Production and Operations Management Society	In this paper, the aim is to explore why users’ experiences with emerging supply chain technologies comprise inflated expectations followed by disappointment in the early stages of adoption, as per the Gartner Hype Cycle.
QUAN	The impact of blockchain technology (BCT) implementation on the accuracy, reliability, visibility, incorruptibility, and timeliness of supply-chain processes and transactions, makes it attractive to improve the robustness, transparency, accountability and decision-making in risk management. Therefore, the emerging BCT can present an invaluable opportunity for the organisations in need of preparing for and responding to uncertain and complex instances. The adoption of BCT in the operations and supply chain management (OSCM) literature remains scarcely investigated, especially in the context of managing risks in emergency situations such as crises, disasters, and pandemics, which are characterised by volatility, uncertainty, complexity and ambiguity (VUCA) in the business environment. This article will contribute to the OSCM literature by developing a conceptual model that will examine the causal relationships between VUCA business environment, constructs derived from technology acceptance model (TAM), resilience and behavioural intention of the operations managers to adopt BCT for risk management. The model was tested by gathering responses from 116 operations managers in the UK (during COVID-19 pandemic) through structural equation modelling. Findings from the analysis suggest that understanding the benefits of BCT, involvement in resilient organisational practices and user-friendly implementation of the technology will have a significant and positive influence on the intention to adopt BCT for risk management in the OSCM context. Building upon these findings, we have proposed a BCT decision framework to assess the feasibility and suitability of adopting BCT in each context (such as risk management), which will have strategic implications for operations managers and the OSCM community. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.	What are the factors that drive the intention to use blockchain technology for managing risks in OSCM within the organisations, from the perspective of operations managers?
QUAN	Blockchain technology has been growing in importance and acceptability over the past few years. Yet, there is limited empirical research on the organizational and technology specific factors that play a critical role in driving its adoption in the supply chain. The purpose of this paper is to develop a comprehensive framework for blockchain adoption in the supply chain by identifying the enablers and empirically evaluating their interdependencies and impact on adoption. 20 enablers of blockchain adoption in the supply chain are identified using an extensive literature review and theoretical lenses from the Diffusion of Innovation (DOI) theory and the business technology adoption model developed by Iacovou, Benbassat and Dexter (1995). In the confirmatory phase, we employ the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to extract logic from data collected from 37 French experts about the impact of the enablers and their interdependencies. Our paper extends the multi-theoretic empirical studies to blockchain technology and identifies the enablers of blockchain adoption from technological, organizational, supply chain and external environment perspectives. Regarding the importance of the categories of enablers, we find that the relative advantage of the technology and the external pressure are the most prominent categories of enablers that impact blockchain adoption in the supply chain. Our analysis also shows the important causal role on adoption of the potential of blockchain to reduce transaction cost, the consumer interest in traceability data and the establishment of a regulatory framework for blockchain usage. © 2022 The Authors	RQ1: What are the enablers of blockchain technology adoption in the supply chain? RQ2: What are the levels of influence of the identified enablers on the adoption decision? RQ3: How do the enablers interact and influence each other?
QUAN	The production and consumption of products are held responsible for most environmental challenges and climatic changes, which adversely affect human lives and compromise the future of generations to come. Sustainable production appears as a strategic route to combat these adversities, the pursuit of which is highly challenging. In this study, we argue that Intellectual capital (IC), featured by human capital, relational capital, and structural capital, can play a dual role in improving the sustainable production of a firm. We put forward that IC contributes to sustainable production directly and indirectly through the adoption of blockchain-driven supply chain management (BCSCM). In this context, the objective of this study is to examine the impact of intellectual capital (IC) on sustainable production. The study also investigates the role of SC mapping and BCSCM in the association between IC and sustainable production. Data were collected from 289 textile firms of Pakistan and Bangladesh with the help of a designed questionnaire. The study employed CB-SEM to examine the modeled relationship. Further, PLS-Multi-group Analysis (MGA) was used for cross-country comparison of the results. The results diverge from the conventional wisdom exhibiting an insignificant direct impact of IC in sustainable production. Nevertheless, the results show a meaningful indirect effect of IC through BCSCM and SC mapping on sustainable production. Results also exhibit a significant direct impact of BCSCM on the sustainable production of a firm. The results call for consideration of IC and BCSCM in improving the sustainability of a firm. © 2021 Elsevier Inc.	the objective of this study is to examine the impact of intellectual capital (IC) on sustainable production
QUAN	Asymmetric information is prevalent in the grain and oilseed markets. This paper demonstrates the benefits of blockchain technology to mitigate asymmetric information about the soybean's protein quality between sellers and buyers. We use decision trees to model information asymmetry under both conventional and blockchain scenarios. The results suggest that asymmetric information can be mitigated with a blockchain, resulting in substantial premiums (40–60 cents per bushel of soybeans). These results could have significant implications for the grain and oilseed industry in order to decrease transaction costs, to improve market efficiency, and to prioritize strategies for the procurement of soybeans. JEL CLASSIFICATION: O33 Q13; Q17. © 2021 Agricultural & Applied Economics Association.	This paper aims to demonstrates the benefits of blockchain technology to mitigate asymmetric information about the soybean's protein quality between sellers and buyers.
QUAN	Amid stringent traceability requirements and a nearly 14-year ban, the U.S. beef industry is rebuilding its market presence in China. Blockchain technology offers a responsive means of meeting Chinese import traceability requirements while also addressing consumers' food safety concerns. We evaluate Chinese demand for U.S. beef and blockchain-based traceability and find that a sizeable segment of the market (37%) is willing to pay a premium for U.S. beef that is traceable using blockchains. Results indicate that investments in traceability systems that utilize blockchain technology may be an effective way for producers to capture a significant market share in China.	Research objective is to identify alternative markets for the U.S. beef industry, this study utilizes a hypothetical discrete choice experiment to investigate Chinese consumers' demand for U.S. beef and evaluate their acceptance of blockchain-based traceability
QUAN	Blockchain (BC) technology, defined as a shared information system to validate, secure, and permanently store transactions among multiple parties on a distributed ledger, presents many applications in agricultural and food industries. This study examines the application of BC in food traceability for beef in the United States using a choice experiment. Findings indicate that consumers value USDA certifications over BC traceability to guide their meat preferences. Our study suggests a number of industry implications, the most important of which suggests focusing business and consumer education on the value of product data, rather than on the value of the technologies that manage data. © 2021 The Authors. Applied Economic Perspectives and Policy published by Wiley Periodicals LLC on behalf of Agricultural & Applied Economics Association.	This study aims to examine the application of BC in food traceability for beef in the United States using a choice experiment.
QUAN	The literature so far has been focused on technological sophistication rather than the aspects of blockchain adoption that can hinder or facilitate the use of the technology. To address this gap this paper aims to study the cognitive factors underpinning adoption decision-making moderated by user characteristics. Using a cross-sectional research design, the study recruited 506 respondents to participate and test the relationships hypothesised in the research model. The results of the analysis demonstrated that perceived threat vulnerability, response cost, response efficacy and self-efficacy determine adoption intention. These factors have varying effects on intention depending on users' subjective knowledge, objective knowledge and innovativeness. This evidence contributes to the understanding of users’ perspectives on blockchain adoption, which has been under-researched so far. The findings shed light on the cognitive factors motivating blockchain-based technology use and the individual characteristics of users who are likely to adopt the technology in the context of data privacy and security. In turn, these findings can inform practitioners about the aspects of user behaviour that should be considered while developing and marketing the technology. © 2022 Elsevier Ltd	this paper aims to study the cognitive factors underpinning adoption decision-making moderated by user characteristics
QUAN	Green products have received increasing attention by firms and consumers in recent years, but consumers are often uncertain about the valuation of green products. To solve this problem, many firms have utilized blockchain technology to provide transparent and traceable information for their products. This study examines optimal strategies for pricing and ‘greenness’ investment for green products with government subsidies and explores the conditions for adopting blockchain technology. First, we find that both retailers and consumers always benefit from a manufacturer's adoption of blockchain technology. When the blockchain's operational cost is small or the consumer valuation uncertainty is high, the social welfare outcome will be positive after the adoption of blockchain technology. Second, although blockchain can reduce the valuation uncertainty for consumers, the demand in the blockchain-supported supply chain is not always higher than that in the traditional supply chain. In addition, when a government subsidizes either the manufacturer or the consumer, adopting blockchain is still profitable for the manufacturer even if the operational cost of blockchain technology is relatively large. However, the result is quite different when the government subsidizes the retailer. In the retailer subsidy program, the manufacturer's adoption of blockchain technology hinges on the level of consumer valuation uncertainty. © 2021 Elsevier B.V.	This study aims to examine the optimal strategies for pricing and ‘greenness’ investment for green products with government subsidies and explores the conditions for adopting blockchain technology.
QUAN	The growing business evolution and the latest Artificial Intelligence (AI) make the different business practices to be enhanced by the ability to create new means of collaboration. Such growing technology helps to deliver brand services and even some new kinds of corporate interactions with customers and staff. AI digitization simultaneously emphasized businesses to focus on the existing strategies and regularly and early pursue new market opportunities. While digital technology research in the framework of business innovation is gaining greater interest and the privacy of data can be maintained by Blockchain technology. Therefore in this paper, Business Innovation based on artificial intelligence and Blockchain technology (BI-AIBT) has been proposed to enhance the business practices and maintain the secured interaction among the various clients. The collection of qualitative empirical data is made up of few primary respondents from two distinct business sectors. BI-AIBT has been evaluated by undertaking and exploring the difference and similarities between digitalization's impact on value development, proposal, and business capture. Besides, organizational capacities and staff skills interaction issues can be improved by BT. The experimental result suggests that digital transformation is usually regarded as essential and improves business innovation strategies. The numerical result proposed BI-AIBT improves the demand prediction ratio (97.1%), product quality ratio (98.3%), Business development ratio (98.9%), customer behavior analysis ratio (96.3%), and customer satisfaction ratio (97.2%). © 2021 Elsevier Ltd	This study aims to examines optimal strategies for pricing and ‘greenness’ investment for green products with government subsidies and explores the conditions for adopting blockchain technology
QUAN	Food safety is a public health issue of paramount importance. In this regard, blockchain has emerged as a promising technology that allows users to effectively and efficiently record the origin and flow of products and eliminate or reduce harmful food fraud. Consumers can benefit from this development by receiving up-to-date and verifiable information about the origins and delivery routes of their purchases. Drawing on signaling theory and the results of two experimental studies with 151 and 152 participants, respectively, we investigate how the use of blockchain to trace food products impacts consumers’ perception of product quality as a mediating variable and subsequently their purchase intention. Our framework further considers brand familiarity as a moderating variable. The findings from the two experiments show that blockchain labels as a signaling mechanism in food supply chains help to strengthen consumers’ perceived quality of food products, which, in turn, increases their purchase intention. This effect is more pronounced for less familiar brands, which is valuable information for managers who want to build a brand's reputation. From an academic perspective, we highlight the applicability of signaling theory to identify blockchain-based traceability systems as important drivers of perceived product quality and consequently purchase intention. © 2022 The Authors	RQ1. : How can traceability labels signaling the use of blockchain technology impact consumers’ perceptions of product quality and their purchase intentions? RQ2. : What role does brand familiarity play in consumers’ perception of blockchain-enhanced product quality?
QUAN	Purpose: Given the increasing industry interest in blockchain technologies for supply chain management and product traceability, this paper aims to investigate consumer purchasing intentions for blockchain traceable coffee and their psychosocial antecedents, utilising an extended model of the theory of planned behaviour (TPB). Design/methodology/approach: An online questionnaire study of 123 participants was deployed, using two traceability systems (one based on blockchain and one on a more established traceability certification) for organic coffee. Findings: Adding variables such as environmental protections, trust and habits significantly increased the predictive power of TPB. The results suggest that attitude, perceived behavioural control and environmental protections drive intentions to purchase blockchain traceable coffee. Research limitations/implications: Apart from establishing the factors affecting consumer intentions for blockchain traceable coffee, this study validates the TPB as a model of explaining coffee purchasing intentions and provides evidence of new variables that can significantly increase the model's predictive power. Practical implications: The proposed format of presenting traceability information along with the significant variables revealed in our study can function as a guide for designing product features and marketing strategies for blockchain traceable organic coffee. Increasing consumer awareness on product traceability will also play a crucial role in the success of these products. Originality/value: This study is the first to explore consumer purchasing intentions for blockchain traceable coffee and establish the psychosocial variables behind them contributing, in that way, to an understudied area in academic literature as well as providing insights for a more consumer-centric design of such products. © 2021, Emerald Publishing Limited.	this paper aims to investigate consumer purchasing intentions for blockchain traceable coffee and their psychosocial antecedents, utilising an extended model of the theory of planned behaviour (TPB)
QUAN	Blockchain has evolved as one of the disruptive technologies in the landscape of business. The study aims to investigate drivers of consumer adoption of blockchain for product origin and track to trace history before making a purchase. An extended technology adoption model (TAM) has been proposed to examine the consumer perspective for blockchain adoption in the food supply chain. Based on the survey of 208 retail consumers, the proposed model was validated using variance-based structure equation modeling. Findings of the study emphasize the significant role of perceived security and privacy in developing trust, ease of use, and usefulness of blockchain-enabled systems. The relationship between perceived ease of use and attitude is mediated through perceived usefulness. The strong influence of attitude on adoption intention represents the consumer interest for blockchain to understand the product provenance. The study provides vital insights for successful blockchain implementation to enhance supply chain effectiveness. © 2022 IGI Global. All rights reserved.	H2: Perceived ease of use positively influences attitude. H3: Perceived usefulness positively influences attitude.
QUAN	Bitcoin provides its users with transaction-processing services which are similar to those of traditional payment systems. This article models the novel economic structure implied by Bitcoin's innovative decentralized design, which allows the payment system to be reliably operated by unrelated parties called miners. We find that this decentralized design protects users from monopoly pricing. Competition among service providers within the platform and free entry imply no entity can profitably affect the level of fees paid by users. Instead, a market for transaction-processing determines the fees users pay to gain priority and avoid transaction-processing delays. The article (i) derives closed-form formulas of the fees and waiting times and studies their properties, (ii) compares pricing under the Bitcoin Payment System to that under a traditional payment system operated by a profit-maximizing firm, and (iii) suggests protocol design modifications to enhance the platform's efficiency. The Appendix describes and explains the main attributes of Bitcoin and the underlying blockchain technology. © 2021 The Author(s). Published by Oxford University Press on behalf of The Review of Economic Studies Limited.	The article aims to anlayze three areas: (i) derives closed-form formulas of the fees and waiting times and studies their properties, (ii) compares pricing under the Bitcoin Payment System to that under a traditional payment system operated by a profit-maximizing firm, and (iii) suggests protocol design modifications to enhance the platform’s efficiency
QUAN	Data breaches and cyber incidents are on the rise, and companies continually research new technologies to defend against attacks and protect customer data. The blockchain is a data store designed to promote data privacy, as well as transaction integrity. Enterprises in several industries, especially banking, have investigated the implementation of blockchain-based databases to replace centralised databases as one mechanism for protecting customers’ data by separating transactional data from personally identifiable information. Despite the blockchain’s privacy protections, consumers remain largely unaware of these benefits. Building on the Health Belief Model (HBM), we include privacy concerns and inertia as critical factors that influence consumers’ perceptions of blockchain-based databases’ benefits. Using a sample of 304 respondents, we test a theoretical model incorporating these factors. Our study results indicate threat severity, threat susceptibility, awareness, and inertia significantly influence the perceived benefits of blockchain, which has a significant positive influence on consumers’ intention to switch to blockchain-based applications. Although consumers’ comfort with the status quo of traditional banking mechanisms is a significant barrier to the realisation of blockchain banking applications benefits, additional awareness of consumer privacy protections can persuade customers to use the blockchain-based applications, especially if they exhibit heightened privacy concerns. © Operational Research Society 2021.	RQ: What factors influence consumers’ perceptions of the benefits of blockchain implementation by their banks that will lead to eventual switching to blockchain-based databases?
QUAN	Counterfeiting is a severe problem in many sectors. There are two types of counterfeits: non-deceptive and deceptive. While both types are important business challenge, deceptive counterfeit has an additional negative impact—customers have a post-purchase regret if they expect to purchase a real product but ended up with a fake. The focus of this study is on the setting that relates to deceptive counterfeits. Our paper is one of the first that examines the effectiveness of blockchain as a solution to a supply chain challenge. Specifically, the unique feature of blockchain that we model, which none of the traditional strategies studied in the literature is capable of, is that blockchain adoption changes the analysis from a deceptive counterfeit setting to a non-deceptive counterfeit setting. We also consider government being a decision maker and customers' privacy concern from blockchain adoption, two features that are not examined in the existing literature. We consider a market with a manufacturer and a deceptive counterfeiter. The manufacturer can signal product authenticity either with blockchain technology or through pricing. The government can provide subsidy to encourage blockchain adoption. Blockchain should be used when the counterfeit quality is intermediate or when customers have intermediate distrust about products in the market. If government provides subsidy, blockchain can be more effective than differential pricing strategy in eliminating post-purchase regret. Our results advocate for government providing subsidy because it benefits both customers and the society and could be a better approach than government enforcement efforts. © 2021 Production and Operations Management Society	The focus of this study is on the setting that relates to deceptive counterfeits.
QUAN	The ever-increasing reliance on loot boxes by the video game industry has attracted scrutiny from consumer groups and regulators. For example, this practice of selling random assortments of virtual items for a price has been criticized for its lack of transparency since, before purchasing a loot box, players do not necessarily know the possible items they can win and the associated probabilities. Even in the rare cases when the list of items and probabilities are available, there are no guarantees that a game is actually using that information when randomly drawing an item, which naturally results in a trust problem. We draw from decision theory to explain the transparency and trust issues faced by loot boxes, and from a recently proposed decision model by Pedersen et al. (2019) to motivate the use of blockchain technology in this context. Following the design science research framework (Peffers et al., 2007), we then explain how loot boxes can be coded as smart contracts running on a blockchain network, and why this solution effectively tackles the transparency and trust problems we mentioned above. We illustrate the use of the proposed smart contract by developing a decentralized application (DApp) that mimics the process of purchasing and opening a loot box. We carefully analyze our solution by considering its computational complexity, accuracy, security, and cost aspects. We further discuss topics related to governance and deployment so as to help the video game industry with a potential real-life implementation of our solution. © 2021 Elsevier B.V.	How can one develop a loot box mechanism that is transparent and trustworthy?
QUAN	To facilitate the consumers’ online shopping, it is very necessary to build a reliable and sustainable product evaluation management (PEM) system to store, secure, and retrieve the evaluation data of products. To this end, we propose a novel PEM system based on blockchain technologies. In this PEM system, the evaluation data of products including evaluation scores and comments are stored in the interplanetary file system (IPFS), and then the data hash addresses are returned and stored on the blockchain. Then, the retrieval of evaluation data is implemented by designing and deploying smart contracts on the Ethereum blockchain. Since it is almost impossible to change any data stored in blockchain and IPFS, the proposed PEM system can protect the comment data from intentional or unintentional modifications. Moreover, the proposed PEM system allows users to efficiently and reliably retrieve the relevant evaluation data of a certain product by a given query keyword with the increase of data stored on the blockchain. In addition, to achieve high sustainability, the proposed system also contains an economic incentive mechanism, which is beneficial to form a virtuous circle in online shopping. The proposed system is simulated on the popular blockchain platform, i.e., Ethereum with Solidity programming language. The experimental results and analysis demonstrate that the proposed PEM system achieves desirable usability, reliability, and sustainability. IEEE	The paper aims to propose a novel PEM system based on blockchain technologies. In this PEM system, the evaluation data of products including evaluation scores and comments are stored in the interplanetary file system (IPFS), and then the data hash addresses are returned and stored on the blockchain.
QUAN	Blockchain is a distributed technology that supports financial operations and also helps establish a secure and trustworthy system for product provenance authentication. In the real world, blockchain based product provenance authentication (BPPA) platforms are developed to help certify products such as diamond. In this paper, we theoretically examine the initial coin offerings (ICO) project of such a BPPA platform. In the main models, we analytically build models to explore the cases without blockchain (Model NPF) and with blockchain (Model PF). We study the optimal pricing and optimal effort (for collecting product authentication information) decisions under each model. We examine the value of having the BPPA platform for both the firm and consumers. We reveal the analytical conditions governing when it is beneficial to use the BPPA platform. Then, we uncover how ICO can be used to finance the project with the launch of the BPPA platform. Finally, in the extended models and analyses, we consider the scenarios in which (i) the product's selling price is exogenous and remains the same for the cases without and with the BPPA platform, and (ii) the fixed setup cost for operating the BPPA platform and the fixed service fee charged (to the firm) are present. We find that all the qualitative insights remain valid and hence the findings derived from the main models are robust. © 2020 Elsevier B.V.	1. When will the use of the BPPA platform a solid business model in which having it will outperform the case when it is absent for the firm which sells the product? When will the presence of the BPPA platform achieve win-win in which both the firm and consumers are benefitted? 2. When will the ICO project be feasible and what are the corresponding token values? 3. If we consider the scenarios when: (i) the product’s selling price is not changed between the cases with and without using the BPPA platform, and (ii) the fixed setup cost for operating the BPPA platform and the fixed service fee charged (to the firm) are present, will the findings and insights remain valid?
QUAN	The rapid development of urbanisation and the ever-changing consumers’ demands are constantly changing the urban logistics industry, imposing challenges on logistics service providers to improve customer satisfaction which is one of the indicators for the sustainability of urban logistics. Existing customer satisfaction evaluations are based on a questionnaire survey, which is time-consuming and labour intensive. Moreover, the logistics data are confidential and can only be accessed by the stakeholders in existing logistics models, causing the problem of information non-transparency among logistics enterprises and the third authorities like banks and governments, which may hinder the sustainable development of urban logistics. In this paper, we propose a blockchain-based evaluation approach for customer satisfaction in the context of urban logistics. Four criteria affecting customer satisfaction in urban logistics are identified. A machine learning algorithm Long Short-Term Memory (LSTM) is adopted to predict customer satisfaction in the future period. The implementation is demonstrated to illustrate the proposed approach. A smart contract is designed for compensation and/or refund to customers when their satisfaction with the delivery services is at a low level. © 2020 Informa UK Limited, trading as Taylor & Francis Group.	The aim is to help in rapid development of urbanisation and the ever-changing consumers’ demands are constantly, for which blockchain is analyzed
QUAN	We build a multi-period pricing model between a blockchain-technology-supported platform and a traditional platform, where the blockchain-technology-supported platform provides a higher value for customers. Customers are influenced by network effect, that is, they value a platform more if the platform has more users. As either platform can adopt static pricing or dynamic pricing, four scenarios may occur. By deriving the equilibrium of each scenario, we reveal the 'Matthew effect' caused by network effect, that platform advantage (from adopting blockchain technology) or disadvantage (from not adopting blockchain technology) accumulates as time goes by. Thus, platforms are advised to adopt the blockchain technology antecedent to the competitors. Network effect, which amplifies the benefit of initial users, may intensify price competition and harm both platforms. By comparing the four scenarios, we derive the equilibrium pricing strategies: when network effect is weak, one platform adopts static pricing and the other adopts dynamic pricing; when network effect is medium, the blockchain-technology-supported platform adopts static pricing and the traditional platform adopts dynamic pricing; and when network effect is strong, both platforms adopt dynamic pricing. Dynamic pricing is more desirable for the traditional platform relative to the blockchain-technology-supported platform. © 2021 Informa UK Limited, trading as Taylor & Francis Group.	This study aims to build a multi-period pricing model between a blockchain-technology-supported platform and a traditional platform, where the blockchain-technology-supported platform provides a higher value for customers.
QUAN	This study develops a technology and social capital process aided product innovation conceptual model based on dynamic capability and supply chain ambidexterity theory. The strategy of organisational ambidexterity in balancing technological and relational social capital factors between buyers and suppliers leads to a higher level of digital manufacturing capabilities and enhances buyers’ innovation potential, considering the sustainable practices in their processes to cope with Industry 4.0 manufacturing processes and sustainability challenges. The study empirically validates the model using data collected from 379 French manufacturing companies. This is the first study that examines how buyers perceive the role of blockchain technology in exploring and exploiting innovation management in the Industry 4.0 era. The study advances understanding on the theory of ambidexterity of supply chains in buyer–supplier relationships. The study results show the positive effect between internal integration and blockchain technology as well as relational social capital factors in buyer–supplier relationships. The findings underscore the critical role of relational and technological capital in buyer–supplier relationships, specifically to act as a catalyst for exploiting internal capabilities to achieve the innovation targets. The unique findings state blockchain technology mediation is dominant in exploiting the internal capabilities and benefits buyers' innovation orientation. © 2021	H1: Internal integration positively affects a buyer’s innovation capacities, H2: Internal integration positively enables integration of blockchain technology. Internal integration positively affects a supplier’s relational social capital. H3: Internal integration positively affects a supplier’s relational social capital. H4: Relational social capital is positively associated with improved buyer innovation. H5: Integration of blockchain technology positively affects a buyer’s innovation capacities. "
QUAN	The e-tailers selling global brands’ products on cross-border e-commerce platforms have been suffering from low-quality image. To solve this problem, some platforms (e.g., eBay, Lazada, and Tmall Global) have utilized blockchain for quality verification that creates customers’ trust and guarantees the products’ quality. It is widely acknowledged that the operations of blockchain require all supply chain parties’ participation. Therefore, whether the owners of the global brands have incentives to verify the quality and origin of the goods via blockchain can be critical, especially when the brand-owners are multinational firms (MNFs) owning retail divisions in the same market. In this paper, we study a co-opetitive supply chain consisting of an MNF located in high tax country/region and an e-tailer sourcing from the MNF and reselling the goods. The e-tailer competes with the MNF’s retail division in a low-tax country/region. We find that, blockchain is a double-edged sword for the MNF. It increases the MNF’s wholesaling profit, but reduces the MNF’s retailing profit and tax-planning benefit. Consequently, the MNF will not participate in blockchain if the tax disparity is large and the downstream competition is fierce.	This study is a co-opetitive supply chain consisting of an MNF located in high tax country/region and an e-tailer sourcing from the MNF and reselling the goods.
QUAN	This paper analytically studies a supply chain in which the manufacturer sells its products through an offline channel and an online platform under cap-and-trade regulation. The online platform can operate under either the agency mode or reselling mode. A cross-channel effect is present between the online and offline channels, and the online platform has its power. The market includes information-sensitive and information-insensitive consumers, and the use of blockchain technology is examined. We analytically find that an increase of the cross-channel effect and platform power can benefit the manufacturer and online platform. The optimal production quantities with the agency mode are increasing in the commission rate when the cross-channel effect is high. Choosing the agency mode (reselling mode) can benefit the manufacturer when the commission rate is low (high). Whether blockchain technology can enhance profitability of the manufacturer’s offline channel depends on the cross-channel effect. Blockchain can generate more (less) consumer surplus when the cross-channel effect is low (high). With the agency mode, blockchain technology can always increase the online platform’s profit, while it may reduce its profit with reselling mode. We further discuss the coordination issues.	(1) How do the cross-channel network effect and the platform power affect the consumer surplus, operational decisions and profits of the manufacturer and online platform? Which kinds of the online platform’s operational modes can bring more profits for the manufacturer after using blockchain technology? (2) What are the effects of blockchain technology on the consumer surplus, profits of the manufacturer and the online platform? When will all-win situation (i.e., the consumers, manufacturer and online platform all being benefited) be achieved with the use of blockchain technology? (3) Can the manufacturer and online platform be coordinated under different operational modes?
QUAN	Among the modern digital technologies that are reshaping many aspects of our society, blockchain is one of the most innovative, and this cutting-edge technology has drawn a great deal of public attention. However, little research is available on the actual effect of trust, which is a key core attraction for the blockchain technology. Furthermore, few studies have investigated the relationship between trust and user acceptance. In this paper, we develop a research model based on the technology acceptance model (TAM) and the core features of blockchain technology, and we conduct an empirical study. We collect 254 questionnaires about blockchain applications and analyse the responses with SmartPLS3.0. The results show that constructs such as trust and information quality have positive effects on the users’ behavioural intentions, except in terms of output quality. The findings have both theoretical significance and empirical insights, which will be helpful for the further development of blockchain theory while guiding the operation of relevant enterprises. © 2021 Informa UK Limited, trading as Taylor & Francis Group.	H1: Perceived usefulness positively affects users’ intentions to use blockchain. H2: Perceived ease of use positively affects users’ intentions to use blockchain. H3: Perceived ease of use positively affects the users’ perceptions that blockchain is useful.H4: Output quality positively affects the perceived usefulness of blockchain. H5: Information quality positively affects the perceived usefulness of blockchain. H6: Trust positively affects the perceived usefulness . H7: Trust positively affects the intention to use . H8: Perceived ease of use positively affects trust in blockchain.H9: Calculation-based trust positively affects trust in blockchain.
QUAN	The absence of food traceability has led to severe problems like a product recall, consumer dissatisfaction, and contamination insecurities in the past. We consider a five-level supply chain for sausage where at each level, the output product is manufactured by combining/mixing correct proportions of the raw materials from the previous stages. The demand for the final product is uncertain. Using stochastic models, we improve the supply chain's traceability and optimize dispersion among the sausage material batches. We also derive theoretical results in terms of proving a relatively complete recourse structure in the proposed model. Furthermore, to provide insights regarding the supply chain network's transparency, we integrate the Blockchain framework in our model data storage. Using a simple case study, where an attacker tries to alter or delete data inside the Blockchain, we quantitatively measure this immutability of this decentralized data. The case study reveals that decentralized databases could make data accessible to peers (retailers, suppliers, manufacturers) while mitigating data tampering by Blockchain technology. This ensures transparency among the peers and the privacy and security of the data present in the decentralized database of different supply chain networks. © 2021 Elsevier Ltd	The study aims to provide insights regarding the supply chain network's transparency, by integrating the Blockchain framework in the model data storage. Using a simple case study, where an attacker tries to alter or delete data inside the Blockchain, the study aims to quantitatively measure this immutability of this decentralized data.
QUAN	Blockchain technologies are predicted to substantially transform the tourism industry. At present, cryptocurrencies are the most advanced application of public blockchains that promise benefits such as a universal means of payment and minimal fees through the removal of intermediaries. In the tourism industry, though many tourism vendors have been accepting cryptocurrencies and the potential of using cryptocurrencies in travel-related consumption has been intensively documented, existing knowledge about travellers’ intention to use cryptocurrencies for payment purposes is limited. Traditional models do not account for the idiosyncrasies of cryptocurrencies and are therefore less appropriate to foster the understanding of travellers’ adoption of travel-related payments. To fill this knowledge gap, an exploratory study was conducted with 161 travellers from the Asia-Pacific region who have previously consumed travel-related services with cryptocurrencies. Their previous usage experiences are analysed and reported. Through harnessing the correspondence analysis, several technological contingency factors were identified, as well as positive and negative perceptual antecedents. Additionally, their levels of satisfaction and intention to re-use the technology in future trips were investigated. Based on these findings, several propositions are suggested for guiding future research on travellers’ cryptocurrency adoption in the travel and tourism contexts. © 2020 Informa UK Limited, trading as Taylor & Francis Group.	research questions: . In what ways are cryptocurrencies being used in the travel industry? . How do travelers perceive cryptocurrencies? . What factors impact the adoption of cryptocurrency payments among travelers?
QUAN	The new potential of Distributed Energy Resources (DER), residential consumers, buildings, and prosumers in terms of controllable devices, self-generation, and storage makes them more active in the market encouraged by lower electricity prices. In addition, integrating a higher volume of volatile Renewable Energy Sources (RES) that unstress the public grid by local trading interactions is a desirable target of Local Electricity Markets (LEM). In this paper, we propose a blockchain trading mechanism to simulate the electricity transactions for 11 modern smart houses with more than 300 appliances, 8 roof- or faced-PV systems, and smart-metered 15-min readings that form a small-size community. The electricity generated at the community level lowers the electricity bills and brings benefits for prosumers (sellers) and consumers (buyers). Several trading mechanisms for LEM transactions including auctions such as Uniform Price (UP), Pay-As-Bid (PAB), Generalized Second-Price (GSP), Vickrey-Clark-Groves (VCG) methods are implemented to evaluate the benefits and show their efficiency. After the market is initially cleared, an adjustment coefficient of the price is proposed for both sides (seller and buyer) to enlarge the trading potential at the community level using blockchain technology. It proves to bring excellent results to the LEM participants and enhance trading with outstanding benefits. © 2021 Elsevier Ltd	The study aims to understand, evaluate and propose a blockchain trading mechanism to simulate the electricity transactions for 11 modern smart houses with more than 300 appliances, 8 roof- or faced-PV systems, and smart-metered 15-min readings that form a small-size community. The electricity generated at the community level lowers the electricity bills and brings benefits for prosumers (sellers) and consumers (buyers)
QUAN	Nowadays, blockchain and Internet of Things (IoT) are two emerging areas of the Information Technology (IT) sector. These two emerging areas are used in various fields, such as supply chain, logistics and automotive industry. Due to the low processing power and storage space of IoT devices, users' medical information is usually saved in a centralized third party like a clinical repository or a cloud computing environment. Thus, in many cases, users lose control of their medical information, which can result in security disclosure and a single-point impediment. So, an advanced solution is required to improve the data sharing process, while restricting it in terms of security. Blockchain technology with IoT can significantly affect the healthcare industry by improving its efficiency, security and transparency, as well as can provide more business opportunities. The efficient sharing of Electronic Health Record (EHR) can improve the treatment process, diagnosis accuracy, security and privacy. This article proposes a blockchain-based IoT architecture to provide enhanced security of healthcare data by using Identity-Based Encryption (IBE) algorithm. Here, the smart contract defines all the basic operations of the healthcare system, which can be beneficial to all stakeholders. Many experiments are executed to evaluate the efficiency of the proposed scheme. The results show that the proposed scheme is better than the existing renowned schemes. © 2021 John Wiley & Sons Ltd.	1. In this article, an IoT-based distributed architecture has been proposed based on blockchain technology to protect large-scale healthcare data. 2. The proposed scheme uses the IBE algorithm to securely store healthcare data. As blockchain technology is used in the proposed technique, it is almost impossible to manipulate or alter EHRs. 3. Here, the processing overload is reduced by using the Swarm storage system, and results and discussion prove that the proposed scheme is very effective.
QUAN	Multi-service networks aim to efficiently supply distinct goods within the same infrastructure by relying on a (typically centralised) authority to manage and coordinate their differential delivery at specific prices. In turn, final customers constantly seek to lower costs whilst maximising quality and reliability. This paper proposes a decentralised business model for multi-service networks using Ethereum blockchain features – gas, transactions, and smart contracts – to execute multiple services at different prices. By employing the Ethereum cryptocurrency token, Ether, to quantify the quality of service and reliability of distinct private Ethereum networks, our model concurrently processes streams of services at different gas prices while differentially delivering reliability and service quality. This multi-service business model has been extensively tested on five concurrent Ethereum networks with various combinations of gas prices, miners, and regular nodes using a Proof of Authority consensus algorithm and throughput as the evaluation metric. It has exhibited linear scalability, providing increased throughput in high-quality Ethereum networks, i.e., composed of more validator nodes. The results also indicate that different mining prices do not impact the network performance, but networks with more miners had limited scalability and an increased level of trustworthiness and reliability. © 2021 The Authors	This paper aims to examine and propose a decentralised business model for multi-service networks using Ethereum blockchain features – gas, transactions, and smart contracts – to execute multiple services at different prices.
QUAN	In recent years, the deployment of Cloud Computing (CC) has become more popular both in research and industry applications, arising form various fields including e-health, manufacturing, logistics and social networking. This is due to the easiness of service deployment and data management, and the unlimited provision of virtual resources (VR). In simple scenarios, users/applications send computational or storage tasks to be executed in the cloud, by manually assigning those tasks to the available computational resources. In complex scenarios, such as a smart city applications, where there is a large number of tasks, VRs, or both, task scheduling is exposed as an NP-Hard problem. Consequently, it is preferred and more efficient in terms of time and effort, to use a task scheduling automation technique. As there are many automated scheduling solutions proposed, new possibilities arise with the advent of Fog Computing (FC) and Blockchain (BC) technologies. Accordingly, such automation techniques may help the quick, secure and efficient assignment of tasks to the available VRs. In this paper, we propose an Ant Colony Optimization (ACO) algorithm in a Fog-enabled Blockchain-assisted scheduling model, namely PF-BTS. The protocol and algorithms of PF-BTS exploit BC miners for generating efficient assignment of tasks to be performed in the cloud's VRs using ACO, and award miner nodes for their contribution in generating the best schedule. In our proposal, PF-BTS further allows the fog to process, manage, and perform the tasks to enhance latency measures. While this processing and managing is taking place, the fog is enforced to respect the privacy of system components, and assure that data, location, identity, and usage information are not exposed. We evaluate and compare PF-BTS performance, with a recently proposed Blockchain-based task scheduling protocol, in a simulated environment. Our evaluation and experiments show high privacy awareness of PF-BTS, along with noticeable enhancement in execution time and network load. © 2020 The Authors	the aim is to propose an Ant Colony Optimization (ACO) algorithm in a Fog-enabled Blockchain-assisted scheduling model, namely PF-BTS. The protocol and algorithms of PF-BTS exploit BC miners for generating efficient assignment of tasks to be performed in the cloud's VRs using ACO, and award miner nodes for their contribution in generating the best schedule.
QUAN	Some have called bitcoin a real bubble, while, according to others, it is the most radical invention of the twenty-first century. Nevertheless, there is a consensus regarding the disruptive potential of blockchain technology, which is the basis of bitcoin and other similar cryptocurrencies. As the interest in these digital currencies is growing, many vendors around the globe now accept payments in blockchain-based currencies. However, not much is known about how individuals around the world would react to using blockchain-based currencies as spending currencies. Given the global reach of these currencies, in this study, we explore the role of national cultural values in influencing individuals’ willingness to use blockchain-based currencies. To do so, we collected survey data from the U.S. and India. We found that national cultural values (collectivism, power distance, masculinism, uncertainty avoidance, and long-term orientation) significantly affect blockchain-based currency usage. © 2021 Elsevier Ltd	This study's objective is to conduct a survey study conducted in USA toanalyze the bitcoin and the disruptive potential of blockchain technology, which is the basis of bitcoin and other similar cryptocurrencies
QUAN	The broad development of Internet has enabled the information and communications technology (ICT) and the blockchain technology (BT) to transform the traditional operational practices and customer behavior. In the context of the agricultural sector, it has prompted agricultural retailers to explore various online resources and communication channels. However, product information and physical experience in the brick-and-mortar stores influence the Internet pricing strategy and customers’ online purchasing behaviors. Considering this cross-channel effect and sustainable digital agricultural (e-agriculture) development, this study constructed a theoretical analysis model to investigate the impact of the ICT- and BT-driven agricultural cross-channel information strategy on the retailer pricing strategy and customer behavior. The results indicate that, although ICT and BT tools provide agricultural retailers and customers with more information, a cross-channel information strategy does not continuously increase retailers’ sales performance. Retailers tend to leverage this strategy when the devaluation coefficient (customers’ quality perception for a product) is low. This channel information strategy is influenced by the offline channel cost and the devaluation coefficient in online trading. These findings on the devaluation effect can guide retailers in their channel information and pricing strategies and marketing-related decisions. © 2021 Elsevier Ltd	The research aim is to focus on the agricultural sector, and to explore various online resources and communication channels, used by argri-retailers.
QUAN	Food safety is a worldwide problem, mainly caused by environmental pollution, production and management of enterprises, government supervision failure and other reasons. Blockchain technology, as an emerging technology, has strong pertinency and applicability to food traceability due to its characteristics of decentralization, traceability and immutability. Therefore, it is expected to be effectively applied in food safety management and improve the guarantee level of food safety. However, for some reasons, blockchain has not been widely used in food safety management. So further study on the advantages and challenges of its application is beneficial to the sustainable development of food enterprises, consumers and the government. Its application can provide traceable information for food companies, consumers and governments. This can not only ensure the food safety of enterprises, but also improve the level of government supervision, so as to establish the trust between consumers, enterprises and the government, which improves the efficiency and level of food safety management. Based on the information adoption model, this study takes 202 text data related to blockchain and food safety on the Zhihu platform as the research object. On the basis of summarizing part of the public opinions, this paper puts forward the viewpoints of argument on the application of blockchain in food safety management. Then, Tobit regression is used to conduct a quantitative analysis on the influencing factors of the acceptance and adoption of relevant text content on Zhihu platform. Finally, it is found that four factors are significant at a confidence level of 0.1, specifically as follows. The two viewpoints of Advantages of Blockchain Technology and High Costs have significant promotion effects on the public's recognition and adoption but two viewpoints of Promotion of National Policy Opinions and Blockchain Requires Supervision have significant negative effects on the public's recognition and adoption. Based on the regression results and combined with the current technological level and development status of blockchain technology, this study provides relevant policy suggestions, which has a positive effect on improving food sustainability. © 2021 Elsevier Ltd	Blockchain technology, as an emerging technology, has strong pertinency and applicability to food traceability due to its characteristics of decentralization, traceability and immutability. Therefore the aim of this study to anlyse the usefulness of blockchain in the food safety management and improve the guarantee level of food safety.
QUAN	Purpose: This study investigates the affective technology acceptance model applied to the case of blockchain through Twitter text mining. Design/methodology/approach: The analysis focuses on mapping the acceptance drivers of the blockchain technology by visualizing the users perception constructs through Blockchain hashtags. More than 5000 relevant tweets per day were collected between December 15, 2020, and January 15, 2021. The Kruskal-Wallis and the Mann-Whitney tests were applied over the frequency of the characteristics and the emotions' measurements to validate the research hypotheses. Findings: The results prove that users show more interest in security, shareability, and decentralization characteristics. Therefore, the blockchain technology usefulness is rather perceived in the informational domain, and the blockchain ease of use is further expressed in smart contracts as a use case. Blockchain benefits are more discussed than the drawbacks among Twitter users. Besides, positive feelings with strong emotions of trust and joy dominate among users. In summary, the results show significant awareness of users towards blockchain technology. Originality: To the best of the authors' knowledge, this paper is the first study that explores the affective technology acceptance model with user-generated content analysis. © 2021 Elsevier Inc.	RQ1. : How do users perceive the usefulness of blockchain on Twitter through the primary characteristics of blockchain? RQ2. : How is the blockchain ease of use perceived by users through the most discussed use cases on Twitter? RQ3. : How do social norms affect blockchain technology acceptance through the discussion on the related benefits and drawbacks? RQ4. : What are the affective drivers, and how are they discussed on Twitter?
QUAN	Purpose: In the disruptive technologies era, the lack of convincing business cases on blockchain (BC) adoption about food supply chain, the existence of uncertainties and barriers to adoption due to knowledge scarcity on characteristics as well as the potentialities and risks involved in it, have triggered the need to investigate the first multinational BC adoption for food supply chain in Europe, to consider how it can guarantee knowledge for the consumption/purchase decision-making and the creation-mechanism of consciousness for sustainable behavioral choice. Design/methodology/approach: The authors provide a field exploratory analysis based on customers' perceptions and real knowledge about BC (as a knowledge-constructive tool) in the food and beverage sector. This connected with the need for an informed context, favoring sustainable conscious decision-making related to both the food chain and innovation acceptance. This analysis included the use of innovation acceptance as a corporate social responsibility (CSR) strategic orientation through a survey- and interview-based field analysis (80 respondents). Findings: The findings of this study can be considered as antecedents of innovation acceptance in the sector. The analysis assesses consumers' scarce knowledge and perceptions on the BC system, the scarce usage level and the higher acquiring propensity for traceable foodstuffs generating bi-directional/dimensional value, considering that consumption habits could change through security and certainty antecedents and induced knowledge provided by external technological intervention. Originality/value: By trying to match innovation and the knowledge-construction need as a vehicle for acceptance, the theoretical contribution would empower the literature on food traceability from the perspective of strategic BC application through a from-knowledge-to-knowledge strategy. © 2021, Emerald Publishing Limited.	(1) Investigate the viable or scarce communication mechanism of the tool and its possible role as an antecedent for acceptance. (2) Investigate the probable existence of a connection between behavioral choice and traceability perception, enhancing its adoption as a CSR tool. (3) Investigate the influence that security antecedents and information certainty may have on behavior in food choice
QUAN	E-commerce platforms have made our life easier and bought plenty of advantages too. However, due to fraud and scams, trust is a concern while buying products online. In this study, we proposed a blockchain-based architecture for the e-commerce sector where data mining technology is used to detect fraudulent users by generating precise and effective rules, and smart contracts are used for enforcement and functionality management within the blockchain network. Our data mining approach yielded a competitive accuracy, precision, recall, and f1-measure of over 99% compared to the state-of-the-art. High performing rules are further tested for ten simulated cycles under completely unseen data to test their rigidity in a real-time scenario. Details analysis of delineation (if any) in rule antecedents has also been analyzed for these cycles. Tested and selected rules are stored in smart contracts deployed within blockchain network for security and immutability. For ensuring strict order criteria maintenance, better return policy, authentic review and scam avoidance, two smart contracts have been written which implement seller reputation mechanism and authentic review maintenance while safeguarding the seller from intentional defaming too. Altogether, the goal of this study is to establish a balance between all the parties within an e-commerce platform so that everyone's right is protected, money is safe and resources are not exploited.	the aim is to anlyze and propose a blockchain-based architecture for the e-commerce sector where data mining technology is used to detect fraudulent users by generating precise and effective rules, and smart contracts are used for enforcement and functionality management within the blockchain network
QUAN	Blockchain technology have gained importance in the supply chain with its transparency, robustness, and elimination of intermediaries. Different impacts are expected with the integration of blockchain technology in supply chain processes. Comprehensive evaluation methods are required to take important strategic decisions about blockchain technology. To examine the impact of blockchain technology, factors of cost, risks, business, and customer related benefits should be considered comprehensively. The purpose of this paper is to investigate the causal relationships among the factors to evaluate blockchain technology impact on supply chain. Cognitive maps (CM) methods which are hesitant fuzzy cognitive map (HFCM), probabilistic linguistic fuzzy cognitive map (PL-FCM) and rough set cognitive map (RS-CM) are used in this study. Also, PL-FCM that is generated based on probabilistic linguistic term sets is used for the first time in this study as a novel cognitive model. This study provides a contribution by developing cognitive map methods to measure and examine the impact of blockchain technology on supply chain for the first time. Firstly, the impacts of blockchain technology on supply chain and their relations are formed according to expert views and literature review. Then, five scenarios are considered using cognitive mapping methods, future predictions in terms of supply chain management are determined. Sensitivity analysis is performed. In this way, firms can analyze various implications and under what conditions how blockchain technology will have an impact on the supply chain. © 2021 Elsevier Ltd	(2) Investigate the probable existence of a connection between behavioral choice and
QUAN	This paper discusses the problem of double-ending fraud in real estate transactions – a type of transactional fraud wherein agents handling real estate transactions unfairly benefit (e.g., by simultaneously representing both the buy and sell side of a real estate transaction in a manner that unfairly boosts the commission they receive, or colluding to increase their commission in a real estate transaction at the expense of the buyer and/or seller of the real property). The paper proposes a unique blockchain solution design that leverages blockchain’s properties of transparency and ability to create tamper-resistant audit trails to reduce opportunities for double-ending fraud and increase real estate market participants’ trust in the handling of their transactions. The paper discusses the implementation of a prototype of the solution based on hyperledger fabric and sails; it presents the results of an agent-based modelling simulation validating that the inherent transparency of the proposed design offers optimal allocation for both sellers and buyers. Copyright © 2021, IGI Global.	The paper aims is propose a unique blockchain solution design that leverages blockchain’s properties of transparency and ability to create tamper-resistant audit trails to reduce opportunities for double-ending fraud and increase real estate market participants’ trust in the handling of their transactions.
QUAN	Despite its immense potential for industries and services as a promising solution for trust and transparency problems, Blockchain related studies in the field of Marketing are rare. This research mobilizes the technology acceptance Model (TAM) theory to investigate the added value of blockchain technology to online platforms while taking into consideration consumers characteristics. Data from 212 users of online platforms endowed with blockchain technology were collected. Findings demonstrate that blockchain features in terms of security and privacy enhance the perceived usefulness and the perceived ease of use of the online platform, leading to stronger trust and more actual transactions. In addition, results demonstrate that risk aversion weakens only the relationship between usefulness and trust. It has indeed no significant effect on the impact of ease of use on trust. Results also show that technophilia fosters the relationship between intents and actual transactions. The research provides heuristic implications for academia and industry. © 2021 Taylor & Francis Group, LLC.	(3) Investigate the influence that security antecedents and information certainty may
QUAN	Purpose: The present research aims to identify the determinants for users' behavioral adoption of Blockchain, exploring the relationships among these variables and investigating whether the proposed model can provide a more comprehensive manner to understand the adoption of Blockchain technology. Design/methodology/approach: This study adopts the Technology Acceptance Model (TAM) approach and extends it with external constructs: “reduced cost” and “efficiency and security”. This paper used a quantitative and exploratory approach through the collection and analysis of data from a total of 108 Italian innovative SME. We have used the Partial Least Squares Structural Equation modeling (PLS-SEM) approach using SmartPLS for model evaluation. Findings: The results show that “efficiency and security” is an important driver of firms' decision-making process to adopt Blockchain. Moreover, the results show that perceived usefulness is a strong predictor of the intention to use Blockchain in business processes. Originality/value: This research advances the literature on technology adoption in business processes, focusing on a particular technology: Blockchain. The field has been strengthened by investigating the determinants of technology adoption, adding new perspectives; both reduced cost and efficiency, and security. © 2021, Mauro Sciarelli, Anna Prisco, Mohamed Hani Gheith and Valerio Muto.	The research aims to identify the determinants for users' behavioral adoption of Blockchain, exploring the relationships among these variables and investigating whether the proposed model can provide a more comprehensive manner to understand the adoption of Blockchain technology.