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The purpose of this paper is to present a conceptual framework for employer brand equity (EBE) that combines both perspectives of employer brand customers into a unified framework for employee attraction and retention.

This paper extends previous conceptual work on EBE by identifying the role of EBE antecedents in internal and external employer branding. In addition, it recognizes the interactive nature of employer-employee relationship.

The framework incorporates employee experience with the employer, which relates to the interaction between employee and employer and recognizes the internal and external perspectives simultaneously. Further, the unified framework helps to develop a four-cell typology for the strategic management of an employer brand.

Existing research has failed to integrate the two perspectives of employment customers in a clear model and, thus, offered limited applicability to an employment setting. The EBE framework goes beyond existing models by providing a conceptualization that aims to reflect the employer-brand relationship from the perspective of existing and potential employees. Further, it provides theoretical and empirical rationale for a set of propositions that can empirically be examined in future research.

The purpose of this paper is to present the results from a 12 country study mapping the influencers on the choice of wine for purchase in the retail store environment. It demonstrates the usefulness of the best‐worst choice method in multi‐country research to map similarities and differences across market borders.

Using a choice set of 13 attributes (influencers) that was developed from the literature and pilot studies, the B‐W choice method was used to conduct choice experiments related to what influenced consumer choice for the last bottle of wine they purchased in a retail store (in the context of “to have for dinner with friends”).

The key influencers of previous trial and recommendation were highly important across most markets, with the exceptions in some markets of influencers such as “brand” (China and Brazil), “food matching” (France and Italy), “origin” (France) and “grape variety” (Austria).

The research analysis needs to be extended to conduct market segmentation comparisons of markets with whole of sample similar results to ascertain to what extent the market sub‐segments are similar or different in order to examine if there are any truly “global” market segments or how individual segments differ across borders, cultures, New World:Old World divide and other regional influence factors.

This paper presents choice influencer results for a twelve country study. It demonstrates the ability of the method to be used in multi‐country research and its usefulness in identifying similarities and differences in consumer choice across different cultures and markets.

This study aims to use social media data to identify brand communication strategies on Facebook. The analysis uncovers trends and statistics regarding engagement rates. This research leads to the development of a future research agenda for social media and engagement research.

The Facebook Insights data of 12 wine brands over a 12-month period informed this study. Descriptive analysis was undertaken to examine the social media communication strategies of these brands. The impact of these strategies on engagement metrics is also examined.

The findings demonstrate a low rate of engagement among the users of the wine brand Facebook pages. A majority of Facebook fans rarely engage with the brands. The results demonstrate that user engagement varies depending on the day of the week and hour of the day of the brand post.

Wine brands can use these findings as a guideline for effective practice and as a benchmarking tool for assessing their social media performance. The paper provides implications for marketing scholars through the development of a future research agenda related to social media, customer engagement and wine marketing.

This paper fulfils an identified need by offering practical advice to wine producers on the necessity to explore and understand social media strategy and customer engagement characteristics.

The purpose of this paper is to introduce the term branded marketing events (BMEs), and examine the role of its experiential components as a strategic tool for the facilitation of customer brand engagement. This study examines five experiential components of BMEs at events held in Australia and France to determine their respective impact on customer brand engagement.

Surveys were distributed to attendees of ten events by six wine brands in South Australia, and six events in five sub-regions of Bordeaux.

Findings suggest that BMEs influence customers’ brand engagement and brand purchase intention in both Australia and France. However, the experiential components within the events had differing effects. Australian customers were influenced by cognitive, sensorial, and relational experiences and their increased customer brand engagement strongly influenced brand purchase intention. French customers, however, required pragmatic event experiences to build brand engagement.

Recognizing their mutual experiential and interactive foundations, this study integrates the research domains of marketing events, customer experiences and customer brand engagement, and contributes to the strategic understanding of how branded event experiences facilitate customer brand engagement.

Organizations are investing heavily in social media yet have little understanding of the effects of social media content on user engagement. This study aims to determine the distinct effects of informational, entertaining, remunerative and relational content on the passive and active engagement behavior of social media users.

Facebook Insights and NCapture are used to extract data from the Facebook pages of 12 wine brands over a 12-month period. A multivariate linear regression analysis investigates the effects of content on consuming, contributing and creating engagement behavior.

Results reveal distinct effects of rational and emotional appeals on social media engagement behavior. Rational appeals in social media have a superior effect in terms of facilitating active and passive engagement among social media users, whereas emotional appeals facilitate passive rather than highly active engagement behavior, despite the social and interactive nature of the digital media landscape.

Results contribute directly to understanding engagement and customer experience with social media. Further theoretical and empirical examination in this area will aid in understanding the dynamic nature of the levels of engagement within social media.

Findings provide managers and practitioners with guidelines and opportunities for strategic development of social media content to enhance engagement among consumers in a social media forum.

This study is one of the first to empirically examine the construct of social media engagement behavior. It extends the utility of dual processing theory to demonstrate how rational and emotional message appeals result in online engagement.

The purpose of this paper is to focus on measuring the importance of the attributes, which influence the wine choice of Italian consumers when they buy wine either in a retail or an on‐premise setting, identifying significant behavioural differences across geo‐demographic subgroups of the sample.

The best‐worst (BW) method was applied together with simple statistical methods to measure the degree of importance given by respondents to attributes, avoid rating bias problems, and compare potential market segments.

A general analysis of BW scores showed that direct, personal and sensorial experiences are the most important attributes when choosing wine. The statistical analysis evidenced that, while choosing wine in retail stores, the level of involvement respondents have toward wine, the age of the interviewees and the geographical provenance of the respondents showed the greatest differences in attribute importance. Respondents in the on‐premise sector were more similar across the socio‐demographic groups compared to the retail respondents, with differences in the age and involvement having the greatest effect compared to other variables.

The BW method has never been applied in Italy so far. Moreover, it has never been used to measure preferences of Italian consumers for wine, either in the retail or in the on‐premise setting. The BW method allowed researchers to identify the attributes able to influence consumers choices for wine at most (and at least). Compared to other methodologies, this has been done avoiding problems of rating bias, favouring a cross regional comparison of the way diverse populations judge similar attributes.

The purpose of this paper is to investigate the purchasing behaviours of two Beijing wine consumer groups and evaluate the influence of different factors on their decision making process to provide information to better understand the Chinese wine market and assist with market entry and penetration.

A questionnaire with 27 single choice or scoring questions and a set of 13 best–worst (BW) scaling questions is designed. Typical consumers in supermarkets and university students are invited to answer the questionnaire which uses a mix of nominal and rating scale responses as well as a BW choice experiment.

The results show that the consumers intend to pay low prices for daily use wines, but high prices for wines for gift purposes. Domestic brands constituted the highest proportion of the purchases, followed by French wines. The consumers are sensitive on price and country of wine origin; awards, medals, and vintage were of low influences in wine purchasing decisions. Typical consumers like supermarkets and boutique wine shops, while university students prefer the internet for on‐line sales. In the BW experiment, tasting the wine previously, the origin of the wine and brand name listed are the most influential factors in purchasing decisions.

The overall picture of wine preference of Beijing consumers is reported for the first time. It provides an understanding of the factors in wine purchasing decision making and their relative importance. The result could better facilitate wine promotion and penetration in this promising and unique market.

The purpose of this paper is to apply a very simple but powerful analysis of the variance‐covariance matrix of individual best‐worst scores to detect which attributes are determining utility components and drive distinct consumer segments.

First an analysis of variance and covariance is used to find attributes which are perceived to have different importance by different consumers and which jointly drive consumer segments. Then we model consumer heterogeneity with Latent Clustering and identify utility dimensions of on‐premise wine purchase behaviour with a principal component analysis.

Four consumer segments were found on the UK on‐premise market, which differ in the relative strength of five wine choice utility dimensions: ease of trial, new experience, restaurant advice, low risk food matching and cognitive choice. These segments are characterised by sociodemographics as well as wine and dine behaviour variables.

Attributes with high variance signal respondents’ disagreement on their importance and indicate the existence of distinctive consumer segments. Attributes jointly driving those segments can be identified by a high covariance. Principal component analysis condenses a small number of behavioural drivers which allow an effective interpretation and targeting of different consumer segments.

This paper's analysis opens new doors for marketing research to a more insightful interpretation of best‐worst data and attitude scales. This information gives marketing managers powerful advice on which attributes they have to focus in order to target different consumer segments.

This is the first study considering individual differences in BW scores to find post hoc segments based on revealed differences in attribute importance.

Most marketing researchers use rating scales to understand consumer preferences. These have a range of problems, which can be greatly ameliorated by the use of a new technique, best‐worst scaling (BWS). The purpose of this paper is to demonstrate the BWS method by an empirical example, which demonstrates the steps to design and analyze a BW study.

A brief critique of ratings and rankings is presented. Then the basic concept of BWS is described, followed by how to use the BW method to explore how Australian and Israeli consumers choose wine in a retail store. The paper demonstrates the design of the questionnaire as well as the steps to analyze and present the results.

The BWS approach can be easily implemented for research in wine business especially for multicultural comparisons as it avoids scale confounds. After transformation of the best and worst scores of each respondent for each attribute, the data can be analyzed directly using various statistical methods and can be expressed as choice probabilities.

The advantage of BWS is its ability to compare attributes using B−W and B/W scores. The BW method provides a better discrimination of the attributes analyzed.

The simplicity of the analysis and graphical presentation makes a significant contribution to practitioners as the B−W counts and probabilities of attributes are easy to obtain and understand.

This paper presents BWS method in a form that researchers and practitioners can use and adopt for research and market surveys. The paper presents an empirical example using BWS method to determine the importance of wine cues while consumers are choosing wine in a retail store.