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This study aims to examine the blockchain landscape in supply chain management by drawing insights from academic and industry literature. It identifies the key drivers, categorizes the products involved and highlights the business values achieved by early adopters of blockchain technology within the supply chain domain. Additionally, it explores fingerprinting techniques to establish a robust connection between physical products and the blockchain ledger.

The authors combined the interpretive sensemaking systematic literature review to offer insights into how organizations interpreted their business challenges and adopted blockchain technology in their specific supply chain context; content analysis (using Leximancer automated text mining software) for concept mapping visualization, facilitating the identification of key themes, trends and relationships, and qualitative thematic analysis (NVivo) for data organization, coding and enhancing the depth and efficiency of analysis.

The findings highlight the transformative potential of blockchain technology and offer valuable insights into its implementation in optimizing supply chain operations. Furthermore, it emphasizes the importance of product provenance information to consumers, with blockchain technology offering certainty and increasing customer loyalty toward brands that prioritize transparency.

This research has several limitations that should be acknowledged. First, there is a possibility that some relevant investigations may have been missed or omitted, which could impact the findings. In addition, the limited availability of literature on blockchain adoption in supply chains may restrict the scope of the conclusions. The evolving nature of blockchain adoption in supply chains also poses a limitation. As the technology is in its infancy, the authors expect that a rapidly emerging body of literature will provide more extensive evidence-based general conclusions in the future. Another limitation is the lack of information contrasting academic and industry research, which could have provided more balanced insights into the technology’s advancement. The authors attributed this limitation to the narrow collaborations between academia and industry in the field of blockchain for supply chain management.

Practitioners recognize the potential of blockchain in addressing industry-specific challenges, such as ensuring transparency and data provenance. Understanding the benefits achieved by early adopters can serve as a starting point for companies considering blockchain adoption. Blockchain technology can verify product origin, enable truthful certifications and comply with established standards, reinforcing trust among stakeholders and customers. Thus, implementing blockchain solutions can enhance brand reputation and consumer confidence by ensuring product authenticity and quality. Based on the results, companies can align their strategies and initiatives with their needs and expectations.

In essence, the integration of blockchain technology within supply chain provenance initiatives not only influences economic aspects but also brings substantial social impacts by reinforcing consumer trust, encouraging sustainable and ethical practices, combating product counterfeiting, empowering stakeholders and contributing to a more responsible, transparent and progressive socioeconomic environment.

This study consolidates current knowledge on blockchain’s capacity and identifies the specific drivers and business values associated with early blockchain adoption in supply chain provenance. Furthermore, it underscores the critical role of product fingerprinting techniques in supporting blockchain for supply chain provenance, facilitating more robust and efficient supply chain operations.

Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP-PROV to keep track of structural changes of metadata schemas.

The DSP-PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP-PROV model. Finally, this paper evaluates the proposed model by comparison between formal provenance description in DSP-PROV and semi-formal change log description in English.

Formal provenance description in the DSP-PROV model has advantages over semi-formal provenance description in English to keep metadata schemas consistent over time.

The DSP-PROV model is applicable to keep track of the structural changes of metadata schema over time. Provenance description of other features of metadata schema such as vocabulary and encoding syntax are not covered.

This study proposes a simple model for provenance description of structural features of metadata schemas based on a few standards widely accepted on the Web and shows the advantage of the proposed model to conventional semi-formal provenance description.

The purpose of this paper is to explore and typify the characteristics and diverse features of urban speciality stores selling rural provenance food, taking the case of three cities in Portugal.

The study was based on hierarchical cluster analysis, performed upon data collected from a survey to 113 shops, located in Aveiro (n = 15), Lisbon (n = 56) and Porto (n = 42).

The study identified three clusters of shops according to the type of rural provenance products sold, services provided and clientele characteristics: the wine focused, the rural provenance focused and the generalist. The study confirms that in Portugal, small food retail outlets, with different rural provenance patterns and degrees of specialization have considerably grown in large cities over the last decade.

The study contributes to typifying urban speciality food stores selling rural provenance products and to addressing critical research gaps on this topic. The study highlights the dynamism of small food retail outlets and their significance, mediating and responding to changing patterns of food consumption in urban spaces.

This study contributes to a better understanding and characterization of food speciality shops in urban settings and their links with rural territories of provenance, an under-researched topic on the food retail literature.

The paper seeks to discuss and analyse the nature of place umbrella brands and the role such brands play in promotion of a country, a region, or a city. The purpose is also to identify some salient success criteria of provenance associations as core values of place umbrella brands.

The study delineates a conceptual framework, which illustrates important components in place umbrella branding. It also highlights a set of criteria to aid prioritisations among prospective provenance associations that have a potential to be used as brand values of place umbrella brands.

The paper identifies some characteristics of provenance associations, which make them more transferable across a bundle of umbrella brand partners. The generation of better marketing theory in the field of place branding will make it easier for practitioners to reach the right decisions in choice of provenance associations.

It is claimed that transcendence is related to the transferability of provenance associations across a bundle of brands. Because transferability strongly depends on perceptions of similarity, the starting point is to identify matches between the partner brands based on their shared provenance.

The article ends with a recommendation that researchers in place branding should carefully analyze provenance associations according to the suggested criteria.

The purpose of this paper is to analyse the role that provenance holds within the luxury textiles market. It defines similarities and differences in the perception and acceptance of provenance as a key strategy for luxury textile brands in the USA and the UK. Its purpose is to establish a framework of identifiable communication strategies for future growth of the luxury brand sector.

The study consisted of adopting an ethnographic approach to define the role of provenance within luxury brands in the USA and the UK. Attention was focused on textile heritage labels in the USA and in Scotland, to gain insight into how historic artisanship impacts the perception of luxury and authenticity by the consumer. Interviews with key strategists were conducted, and a comparison of the discussions disseminated.

The narrative behind a product, its authenticity and provenance, are key drivers in luxury textile brands, with the perception of quality of utmost importance. Long-standing companies have interwoven provenances with their spiritual birthplaces, people and environment which can be leveraged in product introductions and branding.

The paper provides a framework of key features of provenance to inform practitioners on dilemmas such as de-localization, re-localization and transcendence within the luxury brand sector.

The paper furthers academic research by investigating contemporary issues in luxury consumer behaviour; specifically in relation to the perception of provenance. While research focuses on Western luxury textile brands and consumers, it provides reference criteria and recommendations to luxury brand strategists that can be adopted and adapted for different fields and geographic locations.

Provenance and ethical standards reflect foods that traceable and are supportive of the environment, sustainability and justice in the food supply chain. The purpose of this study is to understand higher education consumers’ food choices and to examine the predictors of purchasing intention of food with provenance and ethical standards.

An online questionnaire was completed by 296 students and staff members of the University of Central Lancashire. The questionnaire collected information on socio-demographic profiles; food choices, provenance and ethical standards; ethical purchasing and sourcing requirements and purchasing intention of food products with provenance and ethical standards. Descriptive statistics were used to determine the frequency of distribution of all socio-demographic characteristics. Multiple regression was used to examine if attitude, perceived behavioural control and subjective norms of the Theory of Planned Behaviour (TPB) significantly predict the consumers’ purchasing intention (Step 1). Exploratory factor analysis was conducted on the behavioural items using principal components estimation and varimax rotation. Multiple regression on the expanded TPB (Step 2) using the obtained factor scores were conducted to determine if the factors were significant predictors of purchasing intention of food with provenance and ethical standards.

Multiple regression on the expanded TPB model revealed that only attitude and perceived behavioural control were significant predictors of purchasing intention of food with provenance and ethical standards. The regression model explained about 50 per cent of the variance of the intent to purchase food with provenance and ethical standards where R² = 0.50 (Adjusted R² = 0.47). This was significantly different from zero F (5, 89) = 17.77, p < 0.001. The incorporation of “Preference for ethically sourced food” and “Perceived knowledge and status of provenance standards” did not increase the prediction of purchasing behaviour.

Two broad themes were identified from the factor analysis where the first factor prioritises “Preference for ethically sourced food” and the second factor conceptualises “Perceived knowledge and status of provenance standards”. The TPB was expanded to incorporate both factors but did not increase the prediction of purchasing intention. The authors recommend that other potential predictors, for example, moral concerns or perceived value of food with provenance and/or ethical standards to be tested using an extended TPB framework. The study is of value to higher and further education catering services to encourage more sustainable and local food consumption.

In the open data context, the shared data could come through many transformation processes, originating from many sources, which exposes the risk of non-authentic data. Moreover, each data set has different properties, shared under various licenses, which means the updated data could change its characteristics and related policies. This paper aims to introduce an effective and elastic solution to keep track of data changes and manage their characteristics within the open data platform. These changes have to be immutable to avoid violated modification and could be used as the certified provenance to improve the quality of data.

This paper will propose a pragmatic solution that focuses on the combination of comprehensive knowledge archive network – the broadest used open data platform and hyperledger fabric blockchain to ensure all the changes are immutable and transparent. As using smart contracts plus a standard provenance data format, all processes are running automatically and could be extended to integrate with other provenance systems and so the introduced solution is quite flexible to be used in different open data ecosystems and real-world application domains.

The research involves some related studies about the provenance system. This study finds out that most of the studies are focused on the commercial sector or applicable to a specific domain and not relevant for the open-data section. To show that the proposed solution is a logical and feasible direction, this paper conducts an experimental sample to validate the result. The testing model is running successfully with an elastic system architect and promising overall performance.

Open data is the future of many businesses but still does not receive enough attention from the research community. The paper contributes a novel approach to protect the provenance of open data.

The purpose of this study is to focus on structured data provision and asset information model maintenance and develop a data provenance model on a blockchain-based digital twin smart and sustainable built environment (DT) for predictive asset management (PAM) in building facilities.

Qualitative research data were collected through a comprehensive scoping review of secondary sources. Additionally, primary data were gathered through interviews with industry specialists. The analysis of the data served as the basis for developing blockchain-based DT data provenance models and scenarios. A case study involving a conference room in an office building in Stockholm was conducted to assess the proposed data provenance model. The implementation utilized the Remix Ethereum platform and Sepolia testnet.

Based on the analysis of results, a data provenance model on blockchain-based DT which ensures the reliability and trustworthiness of data used in PAM processes was developed. This was achieved by providing a transparent and immutable record of data origin, ownership and lineage.

The proposed model enables decentralized applications (DApps) to publish real-time data obtained from dynamic operations and maintenance processes, enhancing the reliability and effectiveness of data for PAM.

The research presents a data provenance model on a blockchain-based DT, specifically tailored to PAM in building facilities. The proposed model enhances decision-making processes related to PAM by ensuring data reliability and trustworthiness and providing valuable insights for specialists and stakeholders interested in the application of blockchain technology in asset management and data provenance.

This paper investigates consumer engagement, evaluation and beliefs of domestic products and the influence of such associated attributes communicated via domestic COO labelling within the United Kingdom.

A visual ethnographic approach utilising the methods of autophotography and photo elicitation interviews was conducted to explore consumers' interaction with the domestic COO label and provenance advertising.

The results of photo elicitation interviews revealed both positive and negative cognitive, affective and normative implications of domestic provenance labelling of influence emerging within consumers.

The findings are applied to the context of the United Kingdom, with contextual limitations acknowledged of doing so. Convenience sampling limitations are also acknowledged.

The findings provide UK-based FMCG manufacturers and retailers insight into the associated attributes of domestic brand and products interpreted by consumers, communicated via a COO label, to assist in their purchasing strategies.

This paper seeks to contribute towards the understanding of provenance labelling influence on consumers for products within the FMCGs sector, whilst specifically commenting upon attributes of reliance and influence that may assist navigation of changing priorities and national sentiments.

Place is an important aspect of wine quality, contributing both distinct sensory characteristics and symbolic significance to the consumer’s experience, particularly in premium wine markets. The concepts of provenance and terroir, and the processes they describe, communicate meaning and significance along the value chain from wine production to consumption. This paper aims to clarify how these concepts are defined, how they contribute to premium wine value chains and how a greater understanding of these concepts by wine science researchers, and other actors, can enhance consumer value.

To address these aims, a conceptual framework is developed, which outlines the conditions needed to fulfil the wine/place experience through the value chain. This framework resulted from discussions within a team of researchers currently undertaking a large project into place distinctiveness in Pinot Noir wines in Australia. The refinement and exploration of the concept is grounded in a multidisciplinary literature review.

Through application of the framework, wine science researchers are advised to develop a knowledge co-production approach with other actors in the value chain. Doing so enables all actors to use evidence-based storytelling to enhance the role that place has in premium wine value and consumer experience.

Overall, this paper contributes to the conversation surrounding the value of terroir and provenance, particularly as they relate to premium wine in New World wine regions. The innovative framework is applicable for both business and wine science researchers, especially those with decision-making responsibility and associated with wine science research institutions, funding bodies, industry partnerships and consortia.