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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 purpose of this paper is to examine the extent to which Indian consumers of different demographic groups vary in terms of shopping mall visits (frequency of visit, hours spent in the mall, and number of shops visited) and purchase behaviour (total money spent, number of shops purchased from and number of items purchased).

The study used a self-administered survey of 400 Indian mall shoppers to examine Indian shoppers’ behaviour with respect to visiting and buying behaviour. Descriptive analyses and χ² tests were conducted to identify patterns and capture the significant relationships in shopping behaviour across different demographic segments.

The results show that shoppers of different age cohorts and from different household sizes behave differently from one another in a significant manner. In terms of gender, however, men and women tend to behave in a similar manner in terms of visit frequency, time and money spent per visit. The study also provides insight into where the differences occur and between which specific groups.

Data comes from one major city of India which limits the generalizability of the results.

For mall managers and retailers, the study findings indicate that the stores that serve recreational needs should focus more on younger segments, where men and women share similar buying patterns. Findings from this study could also be used for segmentation exercises and to build strategies to convert footfall into actual purchase, especially within the rapidly growing Indian mall market.

The study adds value to the body of retail literature and provides empirical evidence from the rapidly developing Indian market. The study also provides insight into where differences occur and between which specific groups. By highlighting the differences in greater detail, the study benefits retailers in general and specifically, mall managers.

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.

The purpose of the current study is to examine a social network site (SNS) users' overall satisfaction with SNS use in conjunction with their fan page visiting activities. We examined overall satisfaction with SNS usage from the lens of people's perceptions acquired from the use of sub-components of SNS.

The current study employed uncertainty reduction theory (URT) and general systems theory (GST) to examine antecedents affecting overall satisfaction with SNS use. Five constructs were adopted: interactive and passive uncertainty reduction strategies, perceived usefulness and continuance visiting behavior, satisfaction, and perceived functional benefits. Using a web-based survey, we analyzed 200 SNS users who follow at least one company's fan page, utilizing seemingly unrelated regression models to test hypotheses empirically.

Research findings reveal that uncertainty reduction strategies supported by URT are significantly associated with the perceived usefulness of a company's fan page. In turn, we found that perceived usefulness becomes a strong motivator to continuance visits to the fan page. The frequency of return visiting behaviors eventually accounts for overall satisfaction with SNS. Perceived functional benefits moderates the relationship between perceived usefulness and visiting behaviors significantly.

The current study contributes to information systems (IS), electronic communication, and their adjacent academic disciplines in providing evidence, including (1) the impact of uncertainty reduction strategies on continuance visiting behaviors in the SNS context, (2) SNS functionalities influencing the relationship between people's belief and behavior, and (3) theoretical significant perceptional link between a sub-component and a whole.

Knowing the behavior of tourists visiting cultural destinations enables better management of tourist flows, a better understanding of areas with greater tourist density and an opportunity to decongest popular neighborhoods. The purpose of this study is to segment tourists according to their spatio-temporal behavior and identify the primary variables that characterize the resulting segments, which will help urban destinations prevent problems arising from the saturation of tourists in certain areas.

To do this, this paper analyzes the behavior of tourists visiting the southeastern Spanish city of Granada, one of the most highly visited cultural tourism destinations. The data analysis used the methodology of sequence alignment which is used to identify segments as a function of their contained elements and the order in which these appear.

The results demonstrate the existence of three segments with different behavioral patterns: the “explorer tourists” segment, the “non-traditional cultural tourists” segments and the “typical cultural tourists” segment. These segments show differences in the concentration of their visits. This study discovered that the segments that visit a greater number of destination areas are those with less cultural orientation, higher travel budgets and younger and more frequent visitors.

In the segmentation not only keep in mind the visited areas, but the order in which they were visited as well. In addition, one should consider the time that each tourist remains in each relevant zone of the destination, given that the visiting time is an important variable to assess the congestion of an area.

This article proposes a theory of direct and indirect inf luences of the Olympic Games on international tourism behavior and presents test results of the theory using a quasi-experimental research design and visitor exit data (n = 3,875 useable surveys). Key finding: among prior visitors to Australia, the share searching for information nearly doubles (from 30 to 59 per cent) in comparing visitors reporting no change in awareness to substantial increase in awareness of Australia as a vacation destination due to hosting the Olympics. Conclusion: hosting international mega-events may result in substantial increases in activities and expenditures by visitors but such impacts occur through increases in visitors' search for information.

The purpose of this study is to explore the antecedents and their impacts on behaviors toward agro-tourism by proposing a theory of green consumption behavior.

Based on a review of the literatures and collection of 471 usable responses, the study is conducted through partial least squares structural equation modeling method using SmartPLS 3.3.3.

Findings of the study have revealed that carbon mitigation attitude, energy saving norms, perceived hygiene value and agro-tourist spot visit intentions significantly influence agro-tourist spot visit behavior. Furthermore, the study has suggested that agro-tourist spot visit intentions partially mediate the strength of the relationship between carbon mitigation attitude, energy saving norms, perceived hygiene value and agro-tourist spot visit behavior.

The study findings may be useful to encouraging agro-tourism managers of understanding antecedents of customer’s behavior and formulating business strategies influencing behaviors toward agro-tourism, coping with competitive business environment and environmental sustainability.

The study has presented a unique case discovering what antecedents are influencing customers’ green consumption behavior (agro-tourist spot visit behaviors) and how that behavior contributes to sustainable communities and cities development. Furthermore, the study has provided important insights for industry professionals by integrating carbon mitigation attitude, energy saving norms, perceived hygiene value and agro-tourist spot visit intentions in examining agro-tourist spot visit behavior.

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.

This paper aims to analyze how a biophilic atmosphere inspired by nature influences customers’ affective states and intention to visit shopping centers, and to empirically test how affective states affect and mediate the relationship between the nature-based atmosphere and behavior or intention to visit.

Four hypotheses are examined empirically through a model of structural equations using control variables. A survey of 403 consumers distributed in 24 large shopping centers was used.

The findings indicate the influence of the biophilic atmosphere on affective states and the intention to visit. Also, it is shown that affective states mediate in this relationship and effect.

The research suggests that shopping centers are potentially places to take advantage of people’s natural predisposition. Thus, they can combine biophilic architecture and atmosphere with other more traditional factors of attraction to increase the likelihood of visiting. A biophilic atmosphere can improve the attraction capacity within a highly competitive environment, where design and management of space is a topic of special value.

By incorporating the perception of the biophilic atmosphere in consumer evaluations when visiting shopping centers, this research has shown its influence on visiting intentions through affective states. The research proposes an alternative model that can increase and stimulate the attraction of demand and loyalty, as well as strengthening new paths in the field of retail and services marketing.

Starting from the premises that Internet of Things (IoT) applications can be used in museums as an aid to visiting systems, the purpose of this paper is to see how recommendation systems can be developed to provide advanced services to museum visitors.

The research methodology employs a qualitative exploratory multi-case study: the method used has consisted in crossing the information currently known on the most advanced communication technologies (ICT) with the requirements of enhancing museum services, in order to determine the possible trajectories of applying the former to the latter.

The implementation of recommender system outlines the main implications and effects of an advanced market-driven digital orientation, as the system’s users are the starting point for innovation and the creation of value. For a museum, it will be possible to access to an additional system of knowledge alongside that of its scientific staff. This process has profound implications in the way in which a museum presents itself and how it is perceived by its visitors and, in a wider sense, by the potential demand.

The paper consists in an exploratory effort to introduce an analytical framework for an evolved adaptive museum orientation system; the empirical investigation can be structured in the inductive-predictive view of assessing this promising debate further.

Implementing the IoT blueprint entails introducing a plethora of new products, services and business models, opening new routes to guide and direct cultural events. Now, more than ever, sustainable development involves an intrinsic balancing act between the pluralism of data and that of customer needs, which is achieved through the elaboration of digital data.