Exploratory wine consumer behavior in a transitional market: The case of Poland

Schaefer, Renata; Olsen, Janeen E.; Thach, Liz

doi:10.1016/j.wep.2018.01.003

Cited by 15 publications

(15 citation statements)

References 21 publications

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“…That is to say, only 25% are in the rest of the world. The consumers who are most likely to engage in exploratory behavior value creativity, risk taking and also have a more global outlook, as they are more likely to purchase wine from other countries (Schaefer et al, 2018). We suggest that the company focuses on consumers with an exploratory behavior in line with its advances in technology and digitalization which entails a greater internationalization.…”

Section: Resultsmentioning

confidence: 99%

“…We have included the following dimensions in our research: exploratory consumer behavior, EO, company strategy and technological and digital transformation. Robinson and Pearce (1988), Covin and Slevin (1989), and Schaefer et al (2018) scales were chosen in order to analyze the exploratory consumer behavior, the EO and the company strategy in our case study (see Appendix, the Managing Director’s answers indicated with x). Besides the information in the Appendix, the interview included questions related to the company adoption of intelligent automation and its Wine 2.0 components.…”

Section: Methodsmentioning

confidence: 99%

“…This could be denominated as innovativeness, i.e., when consumers expose to the risk of using a previously unknown product, variety seeking or switching behavior, i.e., when they avoid the boredom that might occur as a result of repeatedly consuming the same product; and curiosity-motivated, when motivates consumer’s information search about new or unfamiliar products. We focus on the first form of exploratory behavior, which is to say, the search for new wines for personal consumption (Schaefer et al, 2018). One of the studies related to this issue found that consumers who showed an exploratory behavior, tended to buy greater quantities of wine, drank wine more frequently, were more highly interested in the wine category, and had greater knowledge of this sector (d’Hauteville and Goldsmith, 1998).…”

Section: Consumer Behavior In the Wine Industry And Its Consequences mentioning

confidence: 99%

“…As has occurred in other recent studies (Thach et al, 2015), exploratory consumer behavior was measured using the variety seeking scale that (Schaefer et al, 2018) adapted for wine (see Appendix). We have adapted the questions in order to enable them to be answered by the manager of the company.…”

Section: Case Studymentioning

confidence: 99%

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Assessing Consumer Behavior in the Wine Industry and Its Consequences for Wineries: A Case Study of a Spanish Company

Muñoz

Fernández²,

Martín³

2019

Front. Psychol.

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The widening gap between production and domestic consumption has led Spain to become the country with the largest volume of wine exports, of which it has a global market share of 20.5%. Wineries in Spain have, in recent years, undergone important transformation and modernization processes, while their customers have simultaneously acquired more power than ever before owing to both the availability of information and the technological means required to access that information. The objectives of this paper are the following. We first wish to analyze current wine consumer behavior in an attempt to discover indicators associated with exploratory behavior, i.e., the willingness to try new and innovative products for the first time. We also attempt to understand the extent of wine consumers’ demands in this new digital and technological world. The second goal is to analyze the changes that have taken place in the wine industry, which have come about as a result of the evolution of consumers’ expectations and demands. The customer accordingly now plays a new role in this new quick change scenario, which involves aspects such as the intensive use of technology, advances in communication, digital transformation, etc. We consider that this could affect some aspects of business and have, therefore, chosen to analyze one of the most advanced Spanish wineries in order to examine its entrepreneurial orientation, strategy and level of technological and digital transformation when linked to adaptation to this new consumer behavior. The results and conclusions obtained will allow us to apply our findings in future research, during which we intend to expand our studies to wineries from other regions and countries.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Consumer Behavior In the Wine Industry And Its Consequences mentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

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Assessing Consumer Behavior in the Wine Industry and Its Consequences for Wineries: A Case Study of a Spanish Company

Muñoz

Fernández²,

Martín³

2019

Front. Psychol.

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“…An investigation on behaviors of wine consumers state that the behaviors are not related to demographics but subjective to personal values. These findings helped the wine marketers to develop strategies based on the expectation of the consumers [10]. The impact of product knowledge in utilization was considered for the study.…”

Section: R Suguna M Shyamala Devi Rincy Merlin Mathewmentioning

confidence: 99%

Customer Segment Prognostic System by Machine Learning using Principal Component and Linear Discriminant Analysis

Suguna¹,

Devi²,

Mathew³

2019

IJRTE

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Recently, manufacturing industry faces lots of problem in predicting the customer behavior and group for matching their outcome with the profit. The organizations are finding difficult in identifying the customer behavior for the purpose of predicting the product design so as to increase the profit. The prediction of customer group is a challenging task for all the organization due to the current growing entrepreneurs. This results in using the machine learning algorithms to cluster the customer group for predicting the demand of the customers. This helps in decision making process of manufacturing the products. This paper attempts to predict the customer group for the wine data set extracted from UCI Machine Learning repository. The wine data set is subjected to dimensionality reduction with principal component analysis and linear discriminant analysis. A Performance analysis is done with various classification algorithms and comparative study is done with the performance metric such as accuracy, precision, recall, and f-score. Experimental results shows that after applying dimensionality reduction, the 2 component LDA reduced wine data set with the kernel SVM, Random Forest classifier is found to be effective with the accuracy of 100% compared to other classifiers.

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Identifying key wine product and wine tourism attributes in an ultra-peripheral wine region: implications for wine consumers and wine tourism

Alonso

Kok

2020

Tourism Recreation Research

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This study contributes to the wine marketing and wine tourism literature, and examines the preferences and experiences of consumers of local wines and winery visitation in the ultra-peripheral wine region of La Palma Island, Spain. An online survey administered among consumers of local wines resulted in 102 usable responses. Apart from highlighting wine preferences, with aroma, taste, originality and uniqueness standing out, the findings underscore the potential for wine education and wine tourism to contribute considerably to further marketing and positioning of an ultra-peripheral wine region. Indeed, participants predominantly indicated purchasing wines at supermarkets and consuming wines at their home-accommodation, illustrating the opportunities for wineries to enhance knowledge, travel experiences, and ultimately consumption and appreciation. The study has important implications, including approaches for ultraperipheral regions to develop wine and wine tourism offerings, as well as to position themselves, through maximising the distinctness of their wine heritage, core products, and experiences.

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Exploratory wine consumer behavior in a transitional market: The case of Poland

Cited by 15 publications

References 21 publications

Assessing Consumer Behavior in the Wine Industry and Its Consequences for Wineries: A Case Study of a Spanish Company

Assessing Consumer Behavior in the Wine Industry and Its Consequences for Wineries: A Case Study of a Spanish Company

Customer Segment Prognostic System by Machine Learning using Principal Component and Linear Discriminant Analysis

Identifying key wine product and wine tourism attributes in an ultra-peripheral wine region: implications for wine consumers and wine tourism

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