Corrigendum: Blockchain technology as a driver for sustainability? A consumer purchase intention perspective

Blockchain technology has been forwarded as an innovation to address pressing sustainability challenges in global food supply chains. However, limited studies have critically examined the technology's role in advancing sustainability. Drawing on the literature on sustainability-oriented innovation and innovation resistance theory, we explore the potential of blockchain technology to contribute to sustainable transformations within food supply chains. We reflect on 18 expert interviews with various actors across global food supply chains to evaluate the opportunities for, and resistance to, Blockchain technology as a driver of sustainability. The findings reveal that Blockchain is used within food supply chains as both a tool for sustainability as well as a broader philosophical mindset for addressing sustainability challenges. We reveal the opportunities for Blockchain technology as a sustainability-oriented innovation that can ensure fairer supply chains, enhance food traceability, and drive environmental sustainability. We also unpack the resistance to Blockchain that hinder its potential as a sustainability-oriented innovation which include functional and psychological barriers alongside cooperative barriers and protection of the status quo. Our study contributes to the broader literature on sustainability-oriented innovation and innovation resistance theory.

PurposeBlockchain-based traceability labels is increasingly adopted in supply chain, yet there is little empirical research to examine effectiveness from consumer perspective. Can blockchain technology motivate consumers to purchase sustainable products? Drawing on signaling theory, this paper answers this question by comparing the effect of blockchain-based traceability labels with certification-based labels on consumer purchase intention of sustainable products. We further investigate consumers’ perception of sustainability level as a mediating variable and social enterprise as a boundary condition.Design/methodology/approachThis study uses three online between-subject experiments with a total of 750 participants. The proposed hypotheses are tested using analysis of covariance (ANCOVA) as well as mediation analysis based on PROCESS macro.FindingsThe results suggest that (1) blockchain-based traceability labels lead to greater consumer purchase intention of sustainable products than certification-based labels; (2) such a positive effect of blockchain-based traceability labels occurs as consumers perceive a higher sustainability level; (3) however, the effect is attenuated when the company is a social enterprise.Originality/valueThis study contributes to the operations and supply chain management (OSCM) literature by studying the effectiveness of blockchain-based traceability labels from the overlooked yet emerging perspective of consumers. We provide a theoretical explanation and empirical evidence of how blockchain-based traceability labels influence consumer purchase intention during sustainable consumption compared with certification-based labels. We thus additionally contribute to the extant research on the intersection of blockchain and sustainability. Moreover, the incorporation of social enterprise as a moderator enriches the application of signaling theory on the context of sustainability signaling.

Under the rapid development of e-commerce, offline brick-and-mortar stores have been severely impacted. However, the importance of the visual, sensory and even psychological experience in the apparel industry makes offline stores still irreplaceable. The impact on consumers' visual experience cannot be ignored and is a significant influencing factor in determining consumers' psychological change and purchase intention. Especially for fast fashion brands which pursue low costs, visual marketing strategies is a cost-effective marketing tool to enhance the visual experience. In this paper, by adapting SOR theory and using fuzzy set qualitative comparative analysis (fsQCA) research method, 15 fast fashion apparel brands and 374 valid questionnaires are adapted in China to explore not only the influence of individual dimensions in visual marketing on consumers' purchase intention, but also the action of multi-dimensional combinations. The research finds that: (1) there are two driving paths for high consumers' purchase intention. The first path is a combination of high clarity of arrangement and low display density; the second path is a combination of low light intensity, high clarity of arrangement, high tonal harmony and high window appeal. (2) There are also two paths that drive non-high consumers' purchase intentions, and they are asymmetrically related to the paths that drive high consumers' purchase intentions. The findings of this study help to provide direction and suggestions for offline visual marketing strategies of fast fashion apparel brands to increase consumers' psychological perception and purchase intention through a range of visual presentation techniques.

Digitalization began to find a place in every industry faster than expected with COVID-19. Although terms such as Blockchain, NFT, Web 3.0, and Metaverse, which entered our lives with digitalization, are still very new, they will create a paradigm shift from standard business models. Blockchain technologies, especially NFTs, are creating a new opportunity for brands and creative industries as the frontrunner of digitalization with the innovative approach that is driven by scarcity, a new medium to connect with fans, and decentralized distribution power. This paper aims examine the effects of perceived value -with its predecessors scarcity, ownership & uniqueness- and trust in blockchain on the purchase intention of NFTs, considering the technology adoption. In this regard, data was collected via questionnaire from NFT owners with different nations in Discord channels using convenience sampling technique. SEM was performed as statistical analysis, and the results indicated technology adoption is a significant variable on trust in blockchain, which has a direct effect on purchase intention. On the hand, even though scarcity and ownership were positively associated with perceived value, this construct had no statistically significant effect on purchase intention.

The circular economy paradigm promises simultaneous financial efficiency and environmental sustainability benefits, yet organisations struggle to achieve quantifiable synergistic outcomes due to optimisation challenges and implementation barriers. While digital technologies are increasingly recognised as critical enablers for circular economy transitions, there exists a significant gap in systematic evidence demonstrating how specific digital enablers quantifiably contribute to both enhanced financial efficiency and improved environmental sustainability within circular economy frameworks. This systematic review examines the dual dividend potential of digital technologies in circular economy implementations, analysing synergistic mechanisms and identifying implementation pathways for achieving comprehensive financial and environmental benefits. Following PRISMA guidelines, a systematic literature review of 66 high-quality publications spanning 2016-2025 was conducted. It was sourced from multiple databases using comprehensive search strategies encompassing digital enablers, financial efficiency, environmental sustainability, and circular economy principles. Bibliometric analysis was performed using RStudio's Biblioshiny package to map collaboration patterns and thematic structures. The analysis reveals that specific digital enablers—particularly blockchain technology, artificial intelligence, and IoT-based systems—generate substantial financial returns through 3.6% annual cost reduction and 4.1% revenue enhancement while simultaneously delivering quantifiable environmental benefits, including a 15% reduction in global CO2 emissions. Digital technologies create synergistic value propositions through sophisticated feedback loops, enabling real-time monitoring, predictive analytics, and automated decision-making processes that optimise circular economy activities. Implementation success requires systematic approaches integrating technological capabilities with human-centric strategies, stakeholder collaboration, and supportive policy frameworks. These findings challenge conventional trade-off assumptions between economic and environmental objectives, establishing digital technologies as strategic enablers that fundamentally alter circular economy value creation logic. The research provides actionable guidance for organisations seeking sustainable competitive advantage while contributing to global sustainability goals.

Against the backdrop of rapid development in digital and network technologies, privacy issues in e-commerce live streaming have gradually drawn consumers' attention. How to effectively use consumers' personal information to promote the high-quality development of e-commerce live streaming is a key issue of concern in academia. Based on sample data, this study summarizes the current status of consumers' privacy sensitivity when watching e-commerce live streaming, explores the impact of privacy sensitivity on consumers' purchase intention, and finds that privacy concerns negatively affect consumers' purchase intention, while privacy protection and privacy fatigue positively affect consumers' purchase intention. Perceived trust and perceived risk play a mediating role in the relationship between consumers' privacy sensitivity and purchase intention. Based on these findings, it is recommended that e-commerce live streaming platforms actively formulate and improve privacy protection policies to further protect consumers' privacy information, while establishing joint credit evaluation standards to enhance consumer trust. Merchants should comply with privacy policies and strengthen brand building. Government departments should enhance the diversity and effectiveness of privacy protection education and use innovative technologies to create a good social environment for consumers' purchasing behavior on e-commerce live streaming platforms.

This study explores the impact of blockchain technology on consumers' food purchasing intentions and the factors influencing it. This study followed a meta-analysis protocol registered with PROSPERO. From 1715 screened literature records, 10 eligible studies were included (13,768 participants, 46 outcomes). The study constructed a "Signal Triggering -Cognitive Processing -Trust Transfer-Behavioral Decision" framework and used the Joanna Briggs Institute cross-sectional study appraisal tool to assess study quality. The results revealed a high degree of heterogeneity in studies on the relationship between blockchain technology and food purchase intention. The statistical methodology results regarding the correlation between blockchain technology and consumers' purchase intentions are as follows (r=0.577, p<.001) and the results of the random-effects model (r=0.566, 95% CI [0.520, 0.603], p<.001). Trust transfer emerged as the core mechanism driving purchase intention, with blockchain having a stronger impact on high-risk foods. Female consumers demonstrated a higher willingness to pay for blockchain-traced foods. Region and food type explained 23% and 11% of the effect size heterogeneity, respectively. Subgroup analyses and meta-regression were used to explain the reasons for the very high heterogeneity. These findings clarify the influence of blockchain on purchase intention and provide strategies for food enterprises, particularly in implementing blockchain for high-risk foods. The results offer guidance for policymakers to promote blockchain technology and establish traceability standards in regions with underdeveloped food safety systems. This study suggests that scholars explore the contextual and conditional roles of blockchain.

Perceived value-perceived risk framework is the mainstream framework in consumer behavior and marketing research. Based on this framework, this paper expounds consumer's perceived value and perceived risk of new domestic skin care products, and analyzes its dimensional composition. On this basis, this paper introduces the moderating variable of conscientiousness, and applies regression analysis to test the influence of perceived value and perceived risk on purchase intention, and the moderating effect of conscientiousness between consumers' perception and purchase intention. The findings are as follows: 1. Perceived value includes quality value, social value and cost value; Perceived risk includes financial risk, physical risk and time risk; 2. Perceived value has a significant positive impact on consumers' purchase intention, which is the key path to affect consumers' purchase intention, and its main driving factor is social value; 3. Perceived risk has a significant negative impact on consumers' purchase intention, and its main driving factors are time risk and financial risk; 4. Personality traits-conscientiousness has a significant positive moderating effect on perceived value and purchase intention, while conscientiousness has a significant negative moderating effect on perceived risk and purchase intention.

Blockchain adoption and channel selection strategies in a competitive remanufacturing supply chain

How the source dynamism of streamers affects purchase intention in live streaming e-commerce: Considering the moderating effect of Chinese consumers’ gender

The purpose of this study includes: (1) To reveal the mechanism of short video marketing elements on consumers' brand cognition. By investigating the factors such as professionalism, credibility and content expression in short videos, this paper analyzes the specific influence path of short videos on consumers' brand cognition.(2) Test the relationship between consumers' brand cognition and purchase intention. This paper discusses the role of brand cognition between short video marketing and consumers' purchase intention, so as to verify the key position of consumers' attitude in the purchase decision-making process.(3) Construct and verify the empirical model of short video marketing affecting consumers' purchase intention. With questionnaire survey and structural equation model as the main methods, this paper systematically tests the causal relationship between various elements of short video marketing and consumers' purchase intention.(4) Provide practical enlightenment for enterprises and consumers. Suggestions are put forward from three aspects: brand marketing, short video content creation and rational decision-making of consumers, so as to promote accurate marketing of enterprises and rational consumption of consumers. Based on the questionnaire survey and the collection of 328 valid data, this paper analyzes them by descriptive statistics, reliability analysis, validity analysis and structural equation method, and puts forward the following conclusions: (1) The professionalism and reliability of video bloggers have a significant positive correlation with consumers' brand perception, and the improvement of consumers' brand perception further enhances their purchase intention. (2) Different types of consumers have different influences on online celebrity, a video blogger. Young consumers are more susceptible to the content emotion of video bloggers and tend to spend. Consumers with higher spending power need to see the professional blessing of the video blogger to buy.

Purchase intentions for cultural heritage products in E-commerce live streaming: An ABC attitude theory analysis

PurposeFollowing the COVID-19 pandemic, the upward trend of organic food (OF) consumption is no longer restrained to western markets but has also extended to emerging markets in different parts of the world. Still, extent post-pandemic literature has devoted little attention to the factors shaping consumers' intent to purchase organic food in developing markets. The current research empirically investigates the antecedents of consumers' attitude and intent to purchase organic food in an emerging market context (i.e. Morocco). This research also explores the differences between OF consumers' manifest attitudes prior to and following the COVID-19 pandemic.Design/methodology/approachTo achieve the study's objectives, data were collected from 1,060 Moroccan respondents using online self-administered questionnaires in two different eras: prior to the COVID-19 pandemic with a total of 441 valid responses and following the pandemic with 619 valid responses. Confirmatory factor analysis (CFA) was employed to validate the data, and a partial least squares (PLS) estimation was used to test the hypotheses.FindingsFirst, attitude towards OF has a significant impact on consumers' purchase intention; at the same time, it is influenced by subjective norms, organic labeling, perceived behavioral control, health consciousness, and environmental concern. This study's findings also suggest subjective norms, organic labeling, perceived behavioral control, health consciousness, environmental concern, age, and income as the key determinants of consumers' intention to purchase OF. Second, the IPMA analysis suggests that while health consciousness, organic labeling and perceived behavioral control are the most important constructs influencing attitude towards OF, consumers' purchase intention is mostly influenced by health consciousness, attitude towards OF and age. Finally, the PLS-Multigroup Analysis conveyed few discrepancies in the results when comparing the two eras (i.e. subjective norms and age had more significant impacts on consumers' purchase intent following the COVID-19 pandemic).Practical implicationsThis study provides organic food retailers and practitioners with a deeper understanding of the key aspects shaping consumers' intent to purchase organic products in emerging markets. The comparative analysis will also provide important insights on how to shape consumers' attitudes and purchase intentions in a new-normal marked by the COVID-19 pandemic.Originality/valueThis study's findings contribute to the growing literature on consumers' behavior in the organic food industry, particularly in developing countries where research is still narrow. This study's study is the first of its kind to compare consumers' intention to purchase organic food before and following the COVID-19 pandemic.

Purpose Virtual clothing presentation has a visual 3D effort and allows consumers to interact. Currently, most scholars make virtual clothing presentations as a whole or focus on one element to study its impact on consumers’ purchase intentions. This study disassembles the components of virtual clothing presentation in Taobao and explores how each component (virtual clothing, virtual model, presentation space, presentation technology and system quality) affects consumers’ purchase intention, which can provide clothing companies recommendations for developing it and help improve consumers’ online shopping experience. Design/methodology/approach This study created the parts of a virtual clothing presentation and took advantage of Taobao’s 3D interactive module to simulate a shopping scenario. Participants experienced a 3D interactive virtual clothing presentation in which they could change clothing colors, show actual clothing sizes, try different model poses, switch presentation backgrounds and unfold clothing structure through interactive buttons. Then they were randomly assigned to view two kinds of images and videos of experiment clothing (real images and videos vs virtual ones), respectively. Hypotheses were tested using SEM and applying SmartPLS 4. Findings The results demonstrated that five components of virtual clothing presentation have different degrees of influence on consumers’ purchase intention through different consumer perceptions (perceived usefulness, ease of use and enjoyment). It is necessary to consider the design of the virtual clothing presentation in those five dimensions for different needs. In addition, it is feasible to replace images and animated videos of real clothing with virtual ones in Taobao. Originality/value Different types of virtual clothing presentations can lead to various results in terms of diverse impacts. This study disassembles and researches each component of a virtual clothing presentation. Overall, this study could provide guidance and suggestions for clothing companies to develop and design or invest in virtual clothing presentations.

PurposeWhile the application of blockchain technology in the organic food supply chain has been increasingly recognized, the extant knowledge of how blockchain-driven traceability influences consumer perceptions and purchase intentions remains underexplored. Grounded in the stimulus-organism-response theory, this study aims to construct a moderated mediation model to examine blockchain-enabled traceability’s direct and indirect impacts on organic food purchase intention through perceived blockchain-related information transparency, considering the moderating role of blockchain-based trust.Design/methodology/approachA purposive sample of 5,326 Vietnamese consumers was surveyed using the PROCESS macro to test the proposed hypotheses.FindingsThe findings indicate that blockchain-enabled traceability significantly enhances perceived blockchain-related information transparency, which positively influences organic food purchase intention. Furthermore, blockchain-based trust was found to positively moderate both the direct effect of transparency on purchase intention and the indirect impact of traceability on purchase intention through transparency.Practical implicationsPractical and managerial insights for stakeholders in the organic food sector are also discussed.Originality/valueThese results contribute to the literature by extending the stimulus-organism-response model to the context of blockchain technology in supply chains and highlighting the critical role of trust in moderating the effectiveness of technological innovations.