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As an increasingly popular tool for product exploration, online communities have an important impact on consumers’ purchasing decisions. The purpose of this study is to gain a deeper understanding of how visiting behaviors in online communities affect consumers’ offline purchasing behavior. The moderating role of two dimensions of consumer visiting behaviors (visiting depth and visiting breadth) also receives attention. Moreover, the impact of consumer visiting behaviors on offline sales for different types of online communities is also the focus of this paper.

To test the empirical model, the authors collected data on consumers’ visits to an online real estate platform with local housing sales data. In addition to the baseline regression analysis of the data with the help of Stata 17.0, the study also analyzes the robustness of the results through several methods.

The authors focus on an online community for newly-built housing and find that consumer visits to the focal online community have a positive impact on offline sales. Visiting breadth has a negative moderating effect on this relationship, and no statistically significant moderating effect is found for visiting depth. Further, our empirical exploration finds that consumer visits to competitive online communities have a positive impact on offline focal product sales, but visits to complementary online communities have no statistically significant effect on offline sales.

Our findings contribute to the understanding of consumers’ cross-channel purchasing behavior and provide new insights into how visiting behaviors in online communities affect consumers’ purchasing decisions.

The aim of this study is to investigate the influence of atmosphere on consumer emotions and wine purchasing behaviours to assist winery management in the development and communication of a strong positioning strategy. Studies in retail have indicated the importance of atmosphere in relation to consumer emotions and behaviours. Until now, limited evidence has existed on how the three dimensions of atmosphere may influence consumers visiting wineries.

The study consisted of surveys conducted in two stages. The first survey (n = 170) explored the factors applied in this study, and the second survey (n = 377) analysed the relationship between the atmosphere, emotions and consumer purchasing behaviours at wineries.

Findings indicated that atmosphere at a winery has the potential to positively influence consumer emotions and wine purchasing behaviours. Live music and the natural environment were particularly formative of atmosphere and consumer emotions and their subsequent wine purchasing while visiting the winery. The distinction allowed this study to analyse factors important for consumers to increase the time they spent at the winery.

The geographical location of the study is limited to one state in Australia.

In distinguishing between different consumer wine purchasing behaviours, drinking wine and buying wine, this paper contributed to three important intersectoral fields: wine tourism, atmosphere and consumer behaviour. Additional factors that contributed to consumer emotions and wine purchasing behaviours included live music and the natural environment at wineries.

The study aims to examine consumers' intentions to visit wine tourism destinations (WTDs) in Canada post-COVID-19 by combining destination-related constructs with the theory of planned behavior (TPB).

Convenience sampling was employed in the online survey method to gather data. Using AMOS and SPSS software, structural equation modeling (SEM) was used to analyze the data.

The outcomes of the SEM show that a powerful model for predicting consumers’ intention to visit WTDs was developed by combining the TPB with additional variables. More precisely, the study identified that consumers' attitudes, perceived behavioral control, wine product involvement and motivation exhibit positive influences on their intention to visit WTDs. Conversely, subjective norms and the destination wine image did not influence the intention.

The findings have important ramifications for various parties involved, including the government, travel agencies, tourism associations and wine producers. This research's emphasis on consumer behavior enables practitioners to adjust to the changing needs of consumers in the post-pandemic environment.

The drawn-out model gives an improvised view of consumers’ behavioral intentions to visit WTDs post-COVID-19 by testing an integrated structural model comprising TPB and destination-related constructs. As far as the authors are aware, this research represents the first-ever effort to predict consumer's intentions to visit WTDs post-COVID-19.

This paper studied the effects of music plus fragrance or music alone on consumer purchase behaviour, footfalls and repeat visits to retail stores in the context of the mall.

A primary research was conducted through a structured questionnaire. A field study was conducted in two malls that attract the maximum crowd. The data from 250 respondents were analysed in total.

As per the present study, the combination of playing music with fragrance is more effective compared to playing music or fragrance alone on shopping behaviour, footfalls and repeat visits in retail stores in emerging markets like India.

The study is more confined to a comparative study of the effectiveness of music with or without fragrance on consumer purchase behaviour and footfalls in retail stores located in malls. In view of research design, this could be a limitation of the study as types of music and other ambiance factors are not considered. The present study can be extended to religion as the religiosity of respondents may give a different response. The urban respondents may vary when compared to rural consumers. Therefore, the study can be extended by adding the rural or A-city mall or smaller malls in big cities. Research can be extended in the coronavirus disease 2019 (COVID-19) era to see if there is a change in consumer behaviour. It can also be extended to consumer's preference for different music and different fragrances.

This paper provides marketing managers and retail owners with valuable insights on the importance of using music with fragrance in retail stores to create unique consumer experiences in emerging markets that are different from developed countries. Managers should try to create both music, and fragrance in the store to improve purchase intention, and stay longer. To ensure that the planned music and fragrance approach creates the ambiance for consumers, marketing managers are advised to conduct market research. Special care should be taken for younger visitors to the store by creating the right ambiance. The present research will help many offline retailers' managers to strive for new competitive advantages through creating favourable shopping environments by understanding cultural differences.

The research gives direction to use music with a fragrance in the retail ambiance in the malls which will lead to improved consumer purchase, more footfalls, repeat visits and staying longer in emerging markets like India, which is a destination for global brands. Integration of three models of impulse buying (Rook and Fisher, 1995), individualism and collectivism (Triandis, 1995) and stimulus–organism–response (S–O–R) model of Mehrabian and Russell (1974) is used to explain the complex behaviour of consumers towards more purchases and repeat visits. The study will shed light on the quandary that retailers in the organised sector face in emerging markets such as India regarding the use of music and fragrance, as well as the impact on purchase behaviour, footfalls and repeat visits.

This study aims to evaluate the key factors affecting the behavioural intention of urban tourists towards visiting national parks by integrating the theory of planned behaviour (TPB) and expectancy theory (ET).

Data were collected from urban tourists using an online questionnaire developed through Google forms. A total of 489 valid online questionnaires were considered for this study. The proposed research model was empirically evaluated using the structural equation modelling method.

According to the results of this research, TPB constructs are significantly and positively associated with the behavioural intention of urban tourists towards visiting national parks in India and out of ET constructs, only expectancy and valence are significantly and positively associated with behavioural intention while instrumentality does not.

This study manifests the behaviour of urban tourists towards national parks and contributes to academics by incorporating existing literature. The findings of this study also help policymakers in formulating innovative strategies for national parks. It presents an integrated framework that lays the platform for a new study domain on urban tourists' intentions to visit national parks, which will be useful to urban managers, officials and the tourism sector. Furthermore, as the scope of this study is confined to assessing the intentions of urban tourists toward visiting national parks, it is difficult to generalize the findings.

To the best of the authors' knowledge, this is the first research of its kind to provide an understanding of the behavioural intention of urban tourists towards visiting the national parks in India by optimizing the TPB and ET.

This paper aims to investigate actual tourist customer visiting behavior with behavioral data from Google Popular Times to evaluate the extent that such an online source is useful to better understand, analyze and predict tourist consumer behaviors.

Following six hypotheses on tourist behavior, a purpose-built software tool was developed, pre-tested, and then used to obtain a large-scale data sample of 20,000 time periods for 198 restaurants. Both bi-variate linear regression and correlation analyzes were used for hypothesis testing.

Support was established for the hypotheses, through an analysis of customer reviews, timing effects, the number of pictures uploaded and price segment information provided by tourists to a given restaurant. Also, a relationship to average duration time was found to be positive. The findings demonstrate that data provided through Google Popular Times matches theoretical and logical assumptions to a high degree. Thus, the data source is potentially powerful for providing valuable information to stakeholders (e.g. researchers, managers and tourists).

This paper is the first to both conceptually and empirically demonstrate the practicality and value of Google Popular Times to better understand, analyze and predict tourist consumer behaviors. Value is thereby provided by the potential for this approach to offer insights based behavioral data. Importantly, until now such an approach to gathering and analyzing this volume of actual customer data was previously considered far less practical in terms of time and expense.

本研究旨在用谷歌热门时段(Google Popular Times)的行为数据来探讨游客的实际访问行为, 以评估此种线上资源对理解、分析和预测游客消费行为的实用程度。

基于对游客访问行为的六个假设, 本研究开发并前测一种专用软件工具, 用其收集198家餐厅中20,000个时间段的大规模数据样本。双变量线性回归(bi-variate linear regression)和相关性分析(correlation analyzes)均用于检验假设。

研究结果支持本文假设, 包含顾客评论数量、时间影响、图片数量以及价格区间等资讯對特定餐厅游客平均数量之預測; 同时亦发现与平均持续时间的正向关系。研究结果证明, 谷歌热门时段所提供的数据很大程度上符合理论与逻辑假设。因此, 其具备潜在强大功能, 能为利害关系人（如研究者, 管理者, 游客）提供高价值的资讯。

本研究是第一个从概念与实证上证明谷歌热门时段的实用性和价值, 进而深入理解、分析和预测游客消费行为。此方式透过行为数据来提供深入的见解并创造价值; 重要的是, 在此之前, 这种收集与分析大量实际顾客数据的方法被认为缺乏时间与成本效益。

El presente documento tiene como objetivo investigar las conductas de visita de los clientes turísticos reales con datos de comportamiento de Tiempos populares de Google (Google Popular Times) para evaluar el grado en que dicha fuente online es útil para comprender, analizar y predecir mejor las conductas de los consumidores turísticos.

Siguiendo seis hipótesis sobre el comportamiento de los clientes turístico visitante, se desarrolló una herramienta de software especialmente diseñada, probada con anterioridad y posteriormente se utilizó para obtener una muestra de datos a gran escala de 20.000 períodos de tiempo para 198 restaurantes. Se utilizaron tanto la regresión lineal bi-variante como los análisis de correlación para probar las hipótesis.

Se apoya la hipótesis que incluyen la cantidad de comentarios de los clientes, los efectos de tiempo, el número de imágenes y la información del segmento de precios sobre la cantidad de turistas que visitan un restaurante determinado en promedio. Además, se encuentra una relación positiva con el tiempo de duración promedio. Los hallazgos demuestran que los datos proporcionados a través de Google Popular Times coinciden en alto grado con las suposiciones teóricas y lógicas. Por lo tanto, la fuente de datos es potencialmente eficaz para proporcionar información valiosa a los interesados (por ejemplo, investigadores, administradores, turistas).

Este ensayo es el primero que demuestra conceptual y empíricamente la practicidad y el valor de Google Popular Times para entender, analizar y predecir mejor el comportamiento del consumidor turístico. Por lo tanto, el valor es proporcionado por el potencial de este enfoque para ofrecer datos de comportamiento basados en la comprensión. Es importante señalar que hasta ahora ese enfoque para reunir y analizar ese volumen de datos reales sobre los clientes se consideraba menos práctico en términos de tiempo y gastos.

This study examines the dynamic relationships of visit behavior in the multiple channels [personal computer (PC) and mobile channels] on online store sales performance.

The empirical data were from an online store for the period between August 14, 2015 and May 15, 2016. The data consisted of consumer visit behavior and online store sales performance. Vector autoregression with an exogenous variables model was adopted to investigate the dynamic relationships.

The empirical results show significant relationships between visit behavior metrics (number of visitors, average number of visits per visitor and average length of each visit) in the two channels and online store sales performance. The number of visitors through the PC and mobile channels strongly and positively affects online store sales performance both in the short term and in the longer term. Moreover, the number of visitors in the PC channel has the strongest influence on sales performance metrics, followed by the number of visitors and the average number of visits in the mobile channel. The PC channel's visit behavior metrics explain a larger proportion of the sales performance variance than that in the mobile channel.

The previous literature on consumer behavior in multichannel marketing mainly focuses on channel selection or migration, and examines the different factors affecting channel choice behavior. Little is known about the impacts of visit behavior in the multiple channels. This study adopts the heuristic-systematic information processing theory to unveil the impacts of visit behavior metrics in the PC and mobile channels on online store sales performance.

Recent multichannel research suggests that consumers use multiple channels to reap attribute-based benefits which have led to showrooming phenomenon. The purpose of this paper is to investigate the reasons for consumers’ showrooming behaviour and propose a comprehensive model based on application and extension of the “Theory of planned behaviour”.

Using the probability sampling approach, 278 complete responses were obtained via web-based surveys for analysing the showrooming behaviour. The research model was tested using the “Partial least squares method” which follows a variance-based structural equation modelling approach.

The results of the study indicate that “touching and feeling the product” and “sales staff assistance” motivated customers to visit the physical store before buying online. “Better online service quality” and “lower prices online” induced customers to later purchase online. Price conscious customers and those with the ability to use multiple channels were more likely to engage in showrooming behaviour.

The generalization of the findings may be limited because the data were collected from a small sample size. The subject calls for more extensive research for drawing generalizations due to lack of the substantive literature on the core area of study.

The model proposed will help retailers in understanding the showrooming phenomenon which recent researchers have considered as a threat to retail. The study provides basis for devising strategies to defend showrooming customers.

This paper adds to the body of knowledge in retailing by proposing a model on showrooming which is an emerging area of research in the present retail landscape.

The purpose of this paper is to use the experiential view of consumption to better understand the nature of the motivations of the wine tourist in a congested wine region environment. It also aims to determine the impact of travel antecedents such as the perceived characteristics of the wine region, information sources utilised, and previous knowledge of the region and its products on the destination decision‐making process and ultimately the visitation motivations.

Information is obtained from a random sample of 304 respondents from 12 wineries representing all size groups situated on the Paarl Wine Route (PWR) in South Africa. Data are collected through the use of a self‐administered, highly structured questionnaire, self‐completed by respondents at each of the winery cellar door venues.

The most important characteristic of the entire winescape is the region's scenic beauty. Other high impact characteristics are the friendly people and their hospitality, overall ambience and the diversity of wine estates. These factors point to hedonic behaviour in a highly social context and primarily a search for enjoyment/pleasure, mainly by first‐time visitors. The dynamic of first‐time and repeat visitation plays a key role in visitors' wine tourism behaviour. The decision to engage in wine tourism is generally impulsive, even spurious, the visit duration short and the motivations guiding the visitors' behaviour predominantly hedonic in nature.

The impact of the natural landscape underlines the premise that an experiential research approach can yield valuable insights and sheds new light on the fact that a memorable experience for a wine tourist does not only evolve inside the winery's cellar door. In the process it exposits what could be unique selling points for marketing differently positioned wine regions.

This study is of value to academic researchers, travel and accommodation providers and wine industry practitioners alike as it highlights important aspects of wine tourism behaviour with regard to the actual (underlying) motivations that drive them to visit cellar doors in a wine region.

The purpose of this paper is to uncover the service quality dimensions that influence satisfaction with wineries and future intentions to return among Chinese consumers. With the rapidly growing popularity of wine consumption among Chinese consumers, an increasing number of Chinese consumers are visiting wineries in Western countries. However, while substantial research about wine tourism in Western countries has been published, there is very little research available with respect to wine tourism in China and the Chinese winery visitors who visit them.

A convenience sampling method was selected. Specifically, snowball sampling was used to collect the study’s data due to the limited number of Chinese consumers who drink wine and who have been involved with wine tourism. Research assistants who speak Chinese fluently used snowball sampling to recruit Chinese consumers in Yentai region who had participated in wine tourism in the past and asked them to complete the research survey. The research assistants distributed 200 surveys through a snowball sampling and collected a total of 179 responses.

The study’s results suggest that wine tasting operations, such as a variety of wines at tasting room tastings, and the quality of the wines tasted, along with staff attitudes are critical components that influence Chinese wine tourists’ satisfaction and loyalty.

The major contribution of this paper is that it builds on extant wine tourism literature by providing insights into the characteristics of Chinese wine tourists. The paper also illuminates the linkage between winery service quality attributes and Chinese wine tourists’ satisfaction and loyalty.

The results of the study provide a useful guide to both academics and winery operators interested in developing a competitive winery service quality strategy for Chinese wine tourists.

Given the scarcity of literature linking winery service quality attributes and Chinese wine tourists’ satisfaction and loyalty, this study is one of the few studies to explore this relationship.