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This study aims to explore whether the blockchain technology (BCT), as a unique and distinctive resource, affects the development of unique capabilities and the integration and reconfiguration of internal physical and human resources necessary to gain a trusted competitive advantage.

A case study approach has been used to identify the internal resources and capabilities that affect the decision to implement BCT and to determine whether this new technology can become a strategic internal resource in the wine industry.

Results show the role of two strategic resources: human resources, such as IT specialists and software developers for BCT applications, and skills of companies’ management to grant sensitive and confidential data to IT specialists and the ability to read the analytics from the BCT application, becoming a distinctive enabling assets.

The main limitation of this study is related to the analysis of a single case, which, on the one hand, does not allow generalisation of the empirical findings but, on the other hand, is themost appropriatemethod for the explorative nature of this research.

Our findings have useful practical implications for wineries and agri-food companies in overall because they can support managers and entrepreneurs in effectively implementing these innovative digital technologies in their valuecreation process.

The study of this underexplored topic gives interesting insights into the resources needed for the successful adoption of this emerging technology, which can support wineries in improving the value-creating process. In particular, compared to the previous studies, this research analyses the adoption process under the resource-based theory lens.

This study aims to investigate the dynamic capabilities of wineries, focusing on sensing and its role in enabling digital innovation. Furthermore, it explores the role of blockchain technology (BCT) in validating credence attributes of wine, emphasising blockchain as a strategic asset that enhances the ability of wineries to innovate and respond to changing market conditions.

The study adopts an exploratory approach based on a longitudinal, single-case study of the Argentinian Costaflores Organic Winery.

Findings reveal that integrating digital disruptive innovations such as blockchain can strategically position wineries to better meet emerging consumer preferences and market trends. Blockchain simultaneously acts as both a mediator and a moderator. As a mediator, it facilitates the validation of credence attributes of wine such as authenticity and sustainability, enhancing customer trust and loyalty. As a moderator, it influences the strength and effectiveness of the relationship between sensing and innovation capabilities. This enables wineries to more effectively respond to changing consumer requirements and market trends and improve operational performance.

The study was limited by its focus on a single case study of the Argentinian Costaflores Organic Winery, which may affect the generalisability of the findings. However, the study provides valuable insights into the strategic adaptation and competitive positioning of wineries in response to the continuing market challenges. It significantly contributes to the understanding of integrating digital disruptive innovations as strategic assets in the agri-food sector, particularly in the wine sector.

This study addresses a significant research gap by exploring how BCT facilitates the organisation of sensing capabilities. It contributes to the understanding of how the wineries’ sensing capabilities both influence and are influenced by the adoption of BCT, particularly in the context of innovation enabling and improved operational performance.

The main aims are underlining the role of functional foods (FFs) for population wellbeing, investigating the reasons in the self-consciousness of the different countries' populations and exploring what influences in purchasing decisions to address the management of food-producing businesses. This information will make consumer management easier.

A two-step methodology was adopted: (1) literature review and (2) online interview. The principal component analysis (PCA) was used to facilitate and reduce the data complexity. Software Stata/SE was used for data analysis in both Italy and Georgia.

Customers' attitudes, awareness level and decision-making process are clarified through the comparative analysis between Italian and Georgian populations. They have a number of reasons that incentivize their behavior. These reasons may be used by food-producing businesses to evaluate their performance and develop ad hoc strategies for consumer management.

The key elements that determine the FF and motivate the consumer to buy can constitute a foundation for actions related to the development and management of food-producing businesses. Knowing the factors that consumers consider in the process of choosing FFs will help define the strategies that businesses should use for product improvement, better managing the consumer. This study can support the development of education, prevention and promotion of managerial improvements. The innovative mixed methodology applied to the topic is one of the original factors of the study.

Climate change has a direct impact on companies. Therefore, the scenario analysis is used to provide companies and stakeholders in this specific sector with forward-looking measures and narratives of the world's future state. This work aims to provide an independent, wide and rigorous literature review on the topics of scenario analysis and climate change, analyzing a large set of referred papers included in economic journals on the Web of Science Clarivate Analytics data source. This review, by means of a mixed approach, can help address new policy strategies and business models.

The work employs 416 abstracts and relative titles in the field of economics, employing data mining for qualitative variables and performing descriptive statistics and lexicometric measures, similarity analysis and clustering with Reinert's hierarchical method in order to extract knowledge. Furthermore, qualitative content analysis allows for the return of a comprehensive and complete universe of meaning, as well as the analysis of co-occurences.

Content analysis reveals three main classification clusters and four unknown patterns: model area, risks, emissions and energy and carbon pricing, indicating research directions and limitations through an overview with an extensive reference bibliography. In the research, the prevalent use of quantitative instruments and their limitations emerge, while qualitative instruments are residual for climate change assessment; they also highlight the centrality of transition risk over adaptation measures and the combination of different types of instruments with reference to carbon pricing.

Scenario analysis is a relatively new topic in economics and finance research, and it is under-investigated by the academy. The analysis combines quantitative and qualitative research using text analytics.

Future foods such as plant-based meat alternatives (PBMA) are a means to achieving a more sustainable food system. However, there is a gap in what is known about PBMA from the consumer side, considering it is a relatively new food. Therefore, the paper aims to examine whether trust and perception could explain the intention to consume PBMA among Chinese adults.

The paper elicited the level of trust and perceptions related to PBMA. Then logistic regressions and mediation analysis were estimated to determine the associations between consumption intentions towards PBMA and a range of trust and perception variables.

The results indicate that most respondents trust food safety regulators and the labelling and composition standards. A comparison of the perception of meat and PBMA revealed that the majority of respondents perceive meat as tastier than PBMA while PBMA as being better for the environment. Regarding the effect of trust and perception on consumption intention, respondents that perceive PBMA as being better for the environment and having lower food safety risks are more likely to eat PBMA. Also, consumption intentions for PBMA are higher among respondents who trust safety regulators and independent promoters.

The finding on both the intention to try and the potential for sustained consumption is a prerequisite to predicting future demand. These findings are also crucial to guiding market orientation.

This paper focuses on drivers/barriers of consumer consumption intention – a shift from studies which examine product attributes and sensory or marketing determinants of consumption decisions.