Keywords

1 Introduction

Past studies have indicated that there are synergies between wine tourism and wine production, and underlining the importance of regional development and the experiential wine tourist [1]. In this context, tasting events have become a typical tourist experience [2] in wine-producing regions. This kind of experience based on the use of locally produced alcohol is one of the essential attractions in a tourist destination.

In Japan, there is a rice-based alcoholic beverage called Japanese sake that can be compared to wine tourism. Similar to wine tourism, sake tourism is also flourishing in Japan, on the basis of the long history and the appeal of the cultural aspect in sake brewers [3].

With regard to the study of alcohol, various perceptions have been analyzed in the context of beer. Consumer variables (demographic variables, psychographic and behavioral variables, genetic variables), product variables (product-intrinsic attributes, product-extrinsic attributes), and context and the purchase process (the customer journey, atmospherics) have been identified as factors related to the choice of beer [4]. In particular in tasting events in beer, an analysis of how tasting different types of beer (e.g., mass-produced vs. craft beer) affects consumers has also been demonstrated [5].

However, it has not been sufficiently demonstrated how the prior information given to customers when enjoying alcohol at tasting events influences their perceptions of the tasting and its marketing effects. In recent years, influencer marketing has been gaining importance, and the influence of social media (e.g., YouTube) using video, in particular, has been growing [6].

Therefore, this research purpose is to clarify the effects of such information provision on alcohol-based tourism experiences. Theoretically, we would contribute to the development of a theory for evaluating the impact of prior information provision to customers in tasting marketing. On the practical side, it provides insights to help companies or DMOs (destination marketing organizations) make decisions on how to design more effective tasting marketing, taking into account the impact on the customer experience of providing information to customers in advance.

2 Research Model

In order to achieve the proposed objectives in this study, we set up a research model as shown in Fig. 1 based on our hypotheses. For the marketing outcomes, product satisfaction and product word-of-mouth intention constructs were set, and also, the sensory perception construct, cognitive perception construct, and affective perception construct are developed based on previous studies [4, 5, 7]. Regarding the control variables, based on our research objectives, we set up that the prior information given to the participants of a tasting event makes a difference in product satisfaction and word-of-mouth marketing effectiveness. The types of prior information are specifically: 1) no prior information, 2) written information, 3) video with a man explaining, and 4) video with a woman explaining.

3 Methodology

To test the proposed research model, we conduct an experiment on new Japanese sake tasting among customers of Japanese restaurants in California, USA. In this study, before joining the tasting experiment, participants are controlled with different means providing prior information about the new product. Specifically, the participants are randomly divided into four groups: 1) no explanation of the prior information of the new product, 2) explanation of the prior information in text, 3) explanation in a video by a person (male), and 4) explanation in a video by a person (female). As the content of information, the same description of the new product (brand-new Japanese Sake) is used for groups 2–4. Participants of group 1 join the tasting experiment without any prior information about the new product. As the used product for the tasting marketing, we set one of the new sake products of a Japanese Sake company. The new product differs greatly from traditional sake in terms of flavor. In conducting this research, we underwent a research ethics review at the Graduate School of Management, Kyoto University, and obtained approval formally for the experiment plan.

Fig. 1.
figure 1

Proposed research model.

A questionnaire for the experiment was designed to collect feedback on the tasting experience from the participants based on the proposed research model. The first item is to select the category of what type of prior information they gained: 1) no prior information, 2) written information, 3) video with a man explaining, and 4) video with a woman explaining. The main question items were constructs of the research model, and the degree to which the following perspectives agreed was collected using a 5–point Likert scale. The sensory perception consists of aroma, sweet, dry, sour, stiff, mellow, complicated, fresh, juicy(fruity), watery/bland, aftertaste, and white wine taste. The cognitive perception consists of artisan, balanced, cheap, easy-to-drink/drinkable, sophisticated, familiar, casual, novel, light/full body, mass-produced, masculine, simple, smooth, strong, unique, craft sake, and authentic. The affective perception consists of memorable, exciting, comfortable, fun, adventurous, relaxing, and stimulating. The marketing KPIs (Key Performance Indicators) are product satisfaction and product word-of-mouth intention. In addition, demographic and psychographic attributes related to alcohol were collected for each participant.

Data were collected at two Japanese restaurants in California, the USA between July 12–15, 2021. After agreeing to the purpose and the procedure of the experiment, participants were randomly assigned to the prior information acquisition types. Then, they had a tasting of a new Japanese sake product with the preliminary information provision type of each group. After tasting, participants answered the web questionnaire using mobile devices. The number of validated responses was 132 (Restaurant A: 55, Restaurant B: 77). Demographic attributes and prior information types are shown in Table 1.

The method of hypothesis testing is Partial Least-squares-based Structural Equation Modeling (PLS-SEM) [9]. This is more suitable for this study than Covariance-based Structural Equation Modeling (CB-SEM) because it allows for more robust analysis with smaller sample size.

Table 1. Demographic characteristics of participants and prior information Type (N = 132).

4 Results

Results are presented in Table 2. First of all, it was shown that the way in which prior information is provided makes a difference in the impact on product satisfaction and intention to recommend. When prior information was presented in written form, various perspectives significantly influenced satisfaction and recommended intention more than in the cases of video, although the significance level is 0.05. In the cases of video, the number of significant relationships was reduced, but we obtained paths with stronger relationships with significance levels below 0.01 than the written information case. In particular, especially for male videos, affective perception significantly influenced product recommendation intentions, and also, sensory and affective perception also had a significant impact on product satisfaction. On the other hand, the significant paths decreased for female videos, but there was an impact of sensory perception on product recommendation intention with a significant level of 0.01.

5 Discussion

The results of this study showed that providing prior information in a tasting event can influence relationships between participants' perceptions (sensory, cognitive, and affective) and their product satisfaction and product word-of-mouth intentions. In particular, it was shown that explaining prior information through video strongly influences the product word-of-mouth intention. This research contributes to the development of a theoretical foundation for evaluating the provision of tourism experiences of tastings. On a practical side, it also provides insights into the means of providing prior information when offering tourism experiences. On the other hand, in this experiment, a video by women reduced the number of significant paths more than those of written information. This may indicate the variation in the evaluation criteria for female videos among the experimental participants against other means. Therefore, it is necessary to subdivide the group in order to examine the effect in detail. In the future, we need to work on theoretical development, taking into account the analysis of customer attributes in detail and the credibility of the information sender in videos.

Table 2. Results of hypothesis testing (H1–H3).