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This paper aims to explore the emerging wine market of Ukraine. Specifically, the study examines Ukrainian consumer attitudes toward local wines and provides profiles of various groups of local wine consumers.

Data were collected via an online survey of Ukrainian wine consumers (N = 325). Factor and cluster analyses were performed to assess general attitudes toward local wine. Descriptive statistics and analyses of differences (t-tests and chi-square tests) were also used for further data exploration.

The findings indicate that quality perceptions, price sensitivity and reputation play a vital role in shaping local consumers’ attitudes toward Ukrainian wine. Three distinct consumer segments were identified. Local Skeptics exhibit reserved opinions about local wine. Local ambassadors show the highest level of enthusiasm and support for local wines. Local non-connoisseurs are the least involved and knowledgeable about wine; thus, their opinions about the local wine industry are not formed yet. This is the group that merits the utmost attention from wine marketers.

To the best of the authors’ knowledge, this paper is the first research attempt to identify different types of wine consumers based on their attitudes and perceptions toward local wines in Ukraine.

The aim of this study is to investigate the mediating effect of learning orientation on the market orientation and business performance of industrial Small and Medium Enterprises (SMEs) in the metal-mechanic and wine sectors in southern Brazil, an emerging economy country.

Survey data were collected from 309 Brazilian managers of SMEs in the metal-mechanic and wine sectors. The study analyzed overall model fit and causal relationships by confirmatory factor analysis and structural equation modeling.

The survey results show that there is a positive and significant relationship between the variables market orientation, learning orientation and business performance in the investigated sectors. Learning orientation mediates the relationship between market orientation and business performance.

This article provides insight to guide industrial managers of Brazilian SMEs in the metal-mechanic and wine sectors in a prosperous region with a thriving economy. The mediating effect of learning orientation can help managers in their commitment to learning, market vision and open-mindedness in teams that work with multiple orientations.

Few studies focus on analyzing the mediating effect of learning orientation in industrial SMEs in the metal-mechanic and wine sectors. This article differs from others due to the relationships between the constructs, LO mediation over MO and BP, relevance of the investigated sectors for the region and multiple guidelines for managers of the investigated SMEs. Previous studies are scarce on the indirect effect of LO on MO and BP in developing countries.

The purpose of this study is to determine whether the fine wine market is efficient between homogeneous lots and heterogeneous lots.

Auction price data for homogeneous (or solid) lots of fine wines was analyzed to create price prediction models. Those models were used to predict the expected auction price for the bottles within heterogeneous lots. Lastly, models were created to explain and predict the differences between expected and realized prices for heterogenous wine lots.

The results show that large inefficiencies exist. The more complex and expensive the heterogeneous lot, the greater the discount relative to what would have been realized if the bottles had been sold individually. This discount can exceed 50% of the expected auction price.

Heterogeneous lots may arise as a practical requirement from the auction house. Restaurant buyers probably have little interest in such lots because of the inclusion of wines the restaurant will be unable to sell. Collectors may be uniquely positioned to benefit from this price discount.

These results are unique in the literature, because the price dynamics of heterogeneous (or mixed) lots of fine wines have not previously been studied.

This study aims to explore how emotional intelligence (EI) in members of family businesses can enhance the relationships with the stakeholders and whether adopting a relationship marketing approach could extend a family businesses' longevity, the businesses' success through generations.

A mixed-method approach was adopted, and two studies (quantitative followed by qualitative) were conducted in Mexico on small to medium-sized enterprises. This study considers the perspective of owners and employers of family businesses.

The study provides important insights into the relationship between EI and relationship marketing. Enhancing EI in family members whilst conducting a relationship marketing approach, both internal and external, will result in better performance. Family businesses can alleviate conflicts inherent to family emotions whilst building and maintaining strong relationships with customers and suppliers that can secure the long-term success of the organisation by enhancing EI.

Considering the majority of the literature is focussed on highly developed economies such as the USA, the UK and major developing economies such as China and India, this mixed-method study offers Mexico as a novel setting that has become an important procurement hub in light of the recent global developments and international relationship policies.

The main objective of this paper is to analyse the relationship between innovation and traditional concepts to explain the phenomenon of traditional food with innovation from a market and consumer behaviour perspective in the Mexican context.

The research is carried out in two phases: (1) analysis of the offer in distribution and (2) consumer research. First, a mixed observation technique in the offer of traditional foods with innovation was carried out. The data were recollected from 24 companies' websites and was complemented with information from main distribution chains of the city of Hermosillo (Mexico). Second, a survey was carried out with 310 Mexican consumers. The data obtained were analysed using bi-variable and multivariable techniques.

The findings from the websites showed that there are 19 traditional products with innovation that are marketed through this medium, while 39 traditional products with innovation are offered in distribution chains. Of all foods, 61% showed innovations in ingredients and materials. Also, the consumer evaluations identified three segments: the consumers orientated towards innovations, convenience and health (42.2%), those orientated towards sensory innovations (39%), and those more inclined towards innovations in marketing and availability (18.7%).

The research considers a partial perspective of the agri-food chain and not an integral vision, it is limited to a specific area and to certain traditional foods.

The symbiosis between innovation and tradition is identified from the perspective of supply and demand. The trend that exists in the market regarding the types of innovations and the gaps that exist regarding environmental elements are recognized.

The data obtained in the research generate information for business decision-making and entrepreneurship; in addition indicates new dietary and consumption patterns. It also provides knowledge about innovation and tradition, and highlights the relevance of traditional food.

This study tries to fill a gap in the literature by focusing on the market and consumer behaviour perspective for traditional food with innovation.

The main purpose of this article is to understand the motivations for Bhutanese students to study hospitality and tourism courses. The second objective is to analyse what countries are the preferred destinations for study abroad and visitation for students. This includes focussing on new course topic areas such as sustainability for business in hospitality and tourism courses.

A quantitative methodology approach was undertaken with two surveys administered to the first and second student intakes into the Bhutan Middle Management Hotel Program. Motivational and reasoned action theory form the basis of the theoretical framework to understand behavioural intentions regarding educational choices in hospitality and tourism courses.

The results of the surveys indicate that the main motivations to study hospitality and tourism are for attraction, career opportunities, status, broader benefits and aptitude. In addition, it was found that students studying hospitality and tourism in Bhutan are likely to stay in the sector for a long period of time thereby contributing to the economic and social development of Bhutan. Moreover, it was found that the United Nations Sustainable Development goals are increasingly being integrated into the tourism and hospitality sector, which is influencing students to study these topic areas.

The results of this study will help government and hospitality providers support educational training programs by focussing on new education topic areas. This study is limited to Bhutan.

The results of this study will help government and hospitality providers support educational training programs by focussing on new education topic areas such as sustainability for business management. This will enable hospitality and tourism providers in Bhutan to update their curriculum and to focus on emerging industry needs.

This is amongst the first studies on Bhutanese students motivations for studying hospitality and tourism. It will provide practical and policy advise about how to train workers in order to become less reliant on foreign training providers and the importance of integrating sustainability topics in course design.

We conducted a systematic review to explore the potential for the application of blockchain technologies for supply chain resilience in a small-scale agri-food business context.

As part of the research methodology, scientific databases such as Web of Science, Google Scholar and Scopus were used to find relevant articles for this review.

The systematic review of articles (n = 57) found that the use of blockchain technology in the small-scale agri-food business sector can reduce the risk of food fraud by assuring the provenance of food products.

Only a few papers were directly from a small-scale agribusiness context. Key challenges that limit the implementation of blockchain and other distributed ledger technologies include concerns over the disclosure of proprietary information and trade secrets, incomplete or inaccurate information, economic and technical difficulties, low levels of trust in the technology, risk of human error and poor governance of process-related issues.

The application of blockchain technology ensures that the risks and costs associated with non-compliance, product recalls and product loss are reduced. Improved communication and information sharing can increase resilience and better support provenance claims and traceability. Better customer relationships can be built, increasing supply chain efficiency and resilience.

This study aims to investigate the effect of innovation on environmental, social and governance (ESG) performance and, consequently, its influence on the economic and financial performance of companies.

A quantitative and descriptive research was carried out based on secondary data from the Refinitiv Eikon^® database, using the panel data regression technique, considering the constructs: innovation, ESG performance and economic and financial performance.

The results showed that companies that tend to invest more financial resources in R&D are more likely to have higher ESG performance. In addition, companies that have higher ESG performance tend to have higher economic and financial performance.

Managers may consider investing more resources in R&D to achieve superior ESG performance. They should be aware that ESG is a strategic tool for creating financial and nonfinancial value for the organization. More than the traditional preparation of a financial report, stakeholders demand another type of information: ESG information.

The results confirm the basis of Stakeholder Theory, showing that the companies that meet the needs of all stakeholders tend to have greater economic and financial performance. ESG practices can include keeping employees motivated to work, improved corporate image in the eyes of customers, more satisfied suppliers and community and environment aligned with management. Therefore, these ESG initiatives are instrumental in protecting organizational objectives as well as increasing shareholder value.

This study aims to elucidate the process and internal mechanism of place identity construction in traditional villages under the impact of tourism by taking Cuandixia village as a case. The research methods comprise participatory observation and in-depth interviews with the residents. The main results are as follows: the impact of tourism on traditional villages is mainly reflected in space reconstruction, livelihood change, social relations restructuring and culture change; under the impact of tourism, the representation of residents’ identity construction shows complexity, with positive and negative effects; and the place identity construction of residents affects their perception of and attitudes toward tourism. Moreover, self-esteem and self-efficacy principles play a key role in their perception of tourism. This study provides some reference for further investigation of the tourism development model and the mental mechanism of residents in traditional villages.

The internal (farmer-controlled) and external (non-farmer-controlled) factors affect crop yield. However, not a single study has identified and analyzed yield predictors in India using effective predictive models. Thus, this study aims to investigate how internal and external predictors impact pearl millet yield and Stover yield.

Descriptive analytics and artificial neural network are used to investigate the impact of predictors on pearl millet yield and Stover yield. From descriptive analytics, 473 valid responses were collected from semi-arid zone, and the predictors were categorized into internal and external factors. Multi-layer perceptron-neural network (MLP-NN) model was used in Statistical Package for the Social Sciences version 25 to model them.

The MLP-NN model reveals that rainfall has the highest normalized importance, followed by irrigation frequency, crop rotation frequency, fertilizers type and temperature. The model has an acceptable goodness of fit because the training and testing methods have average root mean square errors of 0.25 and 0.28, respectively. Also, the model has R² values of 0.863 and 0.704, respectively, for both pearl millet and Stover yield.

To the best of the authors’ knowledge, the current study is first of its kind related to impact of predictors of both internal and external factors on pearl millet yield and Stover yield.

The literature reveals that most studies have estimated crop yield using limited parameters and forecasting approaches. However, this research will examine the impact of various predictors such as internal and external of both yields. The outcomes of the study will help policymakers in developing strategies for stakeholders. The current work will improve pearl millet yield literature.