Table 1 A sample of prior literature on... | Emerald Publishing

Table 1

A sample of prior literature on blockchain and consumers’ purchase decision-making

Study	Objective	Theory	Methods	Key findings
Bigerna et al. (2021)	To assess the market’s ability to sustain the repairability and durability of sustainable products involved in the fourth industrial revolution and investigate willingness to pay for smartphones eco labeled and attested by either blockchain or paper-based scheme	Theory of planned behavior (TPB)	Mixed method: qualitative study, focus group interviews, sample 25 participants; quantitative study, Cragg hurdle model, sample of 1,508 respondents	Paper-based schemes are preferred to blockchain and durability is preferred to repairability, highlighting that consumers value products that can last longer instead of being easily repaired. Despite the reason that paper-based schemes are preferred to blockchain, a fair percentage of respondents supported the transition to blockchain
Rainero and Modarelli (2021)	To investigate blockchain adoption in food SC, and how it can provide information for purchase decision-making and support the creation of conscious sustainable behavioral choices	Stakeholders theory	Quantitative survey-based field analysis, sample of 80 consumers	Consumers’ limited knowledge and perception of blockchain, the low usage level and high willingness to buy traceable food are highlighted. Additionally, blockchain adoption can generate bidirectional values as it can alter consumption habits by offering antecedent certainty and security and external technological interventions that provide information
Dionysis et al. (2022)	To investigate and analyze the prosocial determinants of attitude and purchase intention of blockchain traceable coffee	TPB	Quantitative method, hierarchical regression analysis, sample of 123 participants	By including factors such as trust, habits, and environmental protection, significantly enhances the explanatory power of TPB. Moreover, these factors positively influence the purchase intention of blockchain traceable coffee by enabling consumers to identify and understand the additional information about products without any help and enhance their trust in blockchain traceable coffee when the origin is known
Jain et al. (2022)	To investigate the Blockchain-Enabled E-commerce Platform (BEEP) adoption antecedents for secondhand apparel retailing	The unified theory of acceptance and use of technology (UTAUT)	Quantitative method, structural model analysis, sample of 374 respondents	Buying motives including critical motives, economic motives, and hedonic motives, and UTAUT constructs such as facilitating condition, performance expectancy, and attitude demonstrate acceptance of BEEP for purchasing secondhand apparel. Blockchain fosters behavioral intention toward the online purchase of secondhand apparel and hence lessens waste and advances the circular economy
Koroma et al. (2022)	To investigate the impact of trust on citizens’ behavior in making decisions for blockchain cryptocurrency	Trust transfer theory	Quantitative method: structural model, sample of 421 citizens	Technology attachment and blockchain transparency positively influence trust in cryptocurrency, which in turn affects citizens’ behavior. However, ethical concerns adversely affect the relationship between trust and consumer behavior
Nygaard and Silkoset (2023)	To examine how blockchain information dimensions (i.e. transparent, traceable, and tamperproof) counteract perceived greenwashing among consumers of ecological foods	–	Quantitative method: structural equation modeling, sample of 492 respondents	Consumers' access to tamperproof, transparent, and reliable product information offset the perceived greenwashing among ecological food consumers. Thus, blockchain as compared to any other certification system protects consumers against the threat of greenwashing
Cozzio et al. (2023)	To examine the importance of blockchain traceability for consumers and the blockchain adoption barriers faced by suppliers	Affordance theory	Mixed method approach: Study 1, Scenario-based experiment, quantitative method, 2-way ANOVA, sample of 139 consumers. Study 2, Qualitative interviews, sample of 20 managers and suppliers	Blockchain traceability enhances consumers’ trust when the food is local and positively impacts behavior and attitude. However, suppliers are hesitant to adopt this technology due to a fear of sharing business information with their peers
Liu et al. (2023)	To investigate trust types and their effect mechanism in blockchain-based applications for green agricultural products	Signal theory and trust transfer theory	Mixed method: qualitative interviews with consumers, sample of 29; quantitative method, structural model analysis, sample of 474 consumers	Consumers’ experience of blockchain significantly influences the perceived transparency of environmental information and positively impacts swift trust and digital trust. Consequently, both types of trust impact impulse buying. Environmental information transparency is perceived as an important mechanism through which blockchain affects consumer trust
Treiblmaier and Garaus (2023)	To investigate how the blockchain -based traceability label enhances consumer purchase intention	Signaling theory	Quantitative: two consecutive experiments. Study 1: sample of 151; Study 2: sample of 152, method: ANOVA	The blockchain label serves as a signal in food SC that helps to fortify the perceived quality of food, and as a result, enhances consumers’ intentions to purchase
Zhu et al. (2024)	To analyze the impact of blockchain supported carbon offset information and shipping options with different environmental footprint implications. This study further examines how blockchain supported information influences perceptions of consumers toward logistics service providers and retailers	–	Quantitative method: vignette-based and role-play experiment, one way ANOVA, sample of 189 consumer	Blockchain supports greater transparency, traceability, and reliability in SC carbon offset information, and carbon emission information in the product journey enhances consumer confidence. As a result, consumers are more willing to pay a premium price for such shipping options and products

Study	Objective	Theory	Methods	Key findings
Bigerna et al. (2021)	To assess the market’s ability to sustain the repairability and durability of sustainable products involved in the fourth industrial revolution and investigate willingness to pay for smartphones eco labeled and attested by either blockchain or paper-based scheme	Theory of planned behavior (TPB)	Mixed method: qualitative study, focus group interviews, sample 25 participants; quantitative study, Cragg hurdle model, sample of 1,508 respondents	Paper-based schemes are preferred to blockchain and durability is preferred to repairability, highlighting that consumers value products that can last longer instead of being easily repaired. Despite the reason that paper-based schemes are preferred to blockchain, a fair percentage of respondents supported the transition to blockchain
Rainero and Modarelli (2021)	To investigate blockchain adoption in food SC, and how it can provide information for purchase decision-making and support the creation of conscious sustainable behavioral choices	Stakeholders theory	Quantitative survey-based field analysis, sample of 80 consumers	Consumers’ limited knowledge and perception of blockchain, the low usage level and high willingness to buy traceable food are highlighted. Additionally, blockchain adoption can generate bidirectional values as it can alter consumption habits by offering antecedent certainty and security and external technological interventions that provide information
Dionysis et al. (2022)	To investigate and analyze the prosocial determinants of attitude and purchase intention of blockchain traceable coffee	TPB	Quantitative method, hierarchical regression analysis, sample of 123 participants	By including factors such as trust, habits, and environmental protection, significantly enhances the explanatory power of TPB. Moreover, these factors positively influence the purchase intention of blockchain traceable coffee by enabling consumers to identify and understand the additional information about products without any help and enhance their trust in blockchain traceable coffee when the origin is known
Jain et al. (2022)	To investigate the Blockchain-Enabled E-commerce Platform (BEEP) adoption antecedents for secondhand apparel retailing	The unified theory of acceptance and use of technology (UTAUT)	Quantitative method, structural model analysis, sample of 374 respondents	Buying motives including critical motives, economic motives, and hedonic motives, and UTAUT constructs such as facilitating condition, performance expectancy, and attitude demonstrate acceptance of BEEP for purchasing secondhand apparel. Blockchain fosters behavioral intention toward the online purchase of secondhand apparel and hence lessens waste and advances the circular economy
Koroma et al. (2022)	To investigate the impact of trust on citizens’ behavior in making decisions for blockchain cryptocurrency	Trust transfer theory	Quantitative method: structural model, sample of 421 citizens	Technology attachment and blockchain transparency positively influence trust in cryptocurrency, which in turn affects citizens’ behavior. However, ethical concerns adversely affect the relationship between trust and consumer behavior
Nygaard and Silkoset (2023)	To examine how blockchain information dimensions (i.e. transparent, traceable, and tamperproof) counteract perceived greenwashing among consumers of ecological foods	–	Quantitative method: structural equation modeling, sample of 492 respondents	Consumers' access to tamperproof, transparent, and reliable product information offset the perceived greenwashing among ecological food consumers. Thus, blockchain as compared to any other certification system protects consumers against the threat of greenwashing
Cozzio et al. (2023)	To examine the importance of blockchain traceability for consumers and the blockchain adoption barriers faced by suppliers	Affordance theory	Mixed method approach: Study 1, Scenario-based experiment, quantitative method, 2-way ANOVA, sample of 139 consumers. Study 2, Qualitative interviews, sample of 20 managers and suppliers	Blockchain traceability enhances consumers’ trust when the food is local and positively impacts behavior and attitude. However, suppliers are hesitant to adopt this technology due to a fear of sharing business information with their peers
Liu et al. (2023)	To investigate trust types and their effect mechanism in blockchain-based applications for green agricultural products	Signal theory and trust transfer theory	Mixed method: qualitative interviews with consumers, sample of 29; quantitative method, structural model analysis, sample of 474 consumers	Consumers’ experience of blockchain significantly influences the perceived transparency of environmental information and positively impacts swift trust and digital trust. Consequently, both types of trust impact impulse buying. Environmental information transparency is perceived as an important mechanism through which blockchain affects consumer trust
Treiblmaier and Garaus (2023)	To investigate how the blockchain -based traceability label enhances consumer purchase intention	Signaling theory	Quantitative: two consecutive experiments. Study 1: sample of 151; Study 2: sample of 152, method: ANOVA	The blockchain label serves as a signal in food SC that helps to fortify the perceived quality of food, and as a result, enhances consumers’ intentions to purchase
Zhu et al. (2024)	To analyze the impact of blockchain supported carbon offset information and shipping options with different environmental footprint implications. This study further examines how blockchain supported information influences perceptions of consumers toward logistics service providers and retailers	–	Quantitative method: vignette-based and role-play experiment, one way ANOVA, sample of 189 consumer	Blockchain supports greater transparency, traceability, and reliability in SC carbon offset information, and carbon emission information in the product journey enhances consumer confidence. As a result, consumers are more willing to pay a premium price for such shipping options and products