Search results

Free knowledge sharing in the online health community has been widely documented. However, whether free knowledge sharing can help physicians accumulate popularity and further the accumulated popularity can help physicians attract patients remain unclear. To unveil these gaps, this study aims to examine how physicians' popularity are affected by their free knowledge sharing, how the relationship between free knowledge sharing and popularity is moderated by professional capital, and how the popularity finally impacts patients' attraction.

The authors collect a panel dataset from Hepatitis B within an online health community platform with 10,888 observations from April 2020 to August 2020. The authors develop a model that integrates free knowledge sharing, popularity, professional capital, and patients' attraction. The hierarchical regression model is used to for examining the impact of free knowledge sharing on physicians' popularity and further investigating the impact of popularity on patients' attraction.

The authors find that the quantity of articles acted as the heuristic cue and the quality of articles acted as the systematic cue have positive effect on physicians' popularity, and this effect is strengthened by physicians' professional capital. Furthermore, physicians' popularity positively influences their patients' attraction.

This study reveals the aggregation of physicians' popularity and patients' attraction within online health communities and provides practical implications for managers in online health communities.

This research explores why tourists are dissatisfied in places considered “wonders of the world”. The authors ask if the place does not match visitors' expectations or if other factors spoil the experience.

The authors analysed the lowest-rated reviews of these wonders on TripAdvisor. The authors identified the main causes of complaints and the problems tourists faced. The authors grouped the complaints into categories and used CoDa.

The results indicate that dissatisfaction does not stem from unmet expectations regarding the monument itself, but rather from other factors related to the quality of the tourist service.

The findings of this research can be implemented in those tourist spots that, despite their global popularity, have considerable proportions of unhappy visitors, not due to the attraction itself, but to shortcomings in its administration.

This study provides a deeper insight into the causes of complaints about some of the most renowned monuments, regarded as extraordinary places, where high satisfaction levels would be anticipated. It also contributes theoretically to the literature on customer complaints in tourist places.

In the extant research on online knowledge communities (OKCs), little attention has been paid to the influence of membership fluidity on the coevolution of the social and knowledge systems. This article aims to fill this gap.

Based on the attraction-selection-attrition (ASA) framework, this paper constructs a simulation model to study the coevolution of these two systems under different levels of membership fluidity.

By analyzing the evolution of these systems with the vector autoregression (VAR) method, we find that social and knowledge systems become more orderly as the coevolution progresses. Furthermore, in communities with low membership fluidity, the microlevel of the social system (i.e. users) drives the coevolution, whereas in communities with high membership fluidity, the microlevel of the knowledge system (i.e. users' views) drives the coevolution.

This paper extends the application of the ASA framework and enriches the literature on membership fluidity of online communities and the literature on driving factors for coevolution of the social and knowledge systems in OKCs. On a practical level, our work suggests that community administrators should adopt different strategies for different membership fluidity to efficiently promote the coevolution of the social and knowledge systems in OKCs.

Wellness tourism is complex due to the varied expectations and perceptions of tourists. This study attempts to explore components that shape tourist expectations of health treatments and tourist attractions, which have not been deeply explored in the extant literature.

A scoping review of the literature published between 2000 and 2021 was conducted to reach the conclusions of this study. Out of 303 literature sources, a total of 105 literature sources were retained for the final analysis.

Findings show that tourists expect a mix of health treatments, such as conventional medical treatments and alternative health treatments and tourist attractions, as part of wellness tourism to improve their health and well-being (HWB). A favorable trade-off between tourist expectations and their perception of wellness tourism impacts tourist HWB and behavioral intention.

The proposed wellness tourism conceptual model and wellness tourism matrix may help wellness tourism service providers to understand tourist expectations for health treatments and tourist attractions in a recent context. Wellness tourism service providers may follow the guidelines outlined in this study to offer health treatments and tourist attractions according to tourist expectations, which may result in the favorable behavioral intentions of wellness tourists.

This study unravels the previously under-explored role of conventional medical treatments, which arguably fall under the category of allopathic medical treatment, in wellness tourism. Destination marketing organizations may focus on the wellness philosophies of health treatments and tourist attractions to meet the growing expectations of wellness tourists for HWB, as outlined in the literature review. This study provides insights into the different components of contemporary wellness tourism those impact wellness tourists' cognitive responses, HWB and behavioral intention.

The nuclear purpose of this research paper is to analyse representative bridges around the world as a tourist attraction and iconic element through destination marketing organisations’ (DMOs’) tourism official websites where these are localised and three online travel agencies’ (OTAs’) websites.

This research used a mixed method. The author carried out Google research (13 March 2023) that included the following search word string “iconic bridges around the world” and “the most famous bridges worldwide” to select the most relevant bridges around the globe. Moreover, this research used a content analysis to examine how Expedia, Booking and Orbitz OTAs promote the bridges through their websites in terms of a tourist attraction, iconic element, tourist package, images and information.

Findings suggest that the most representative bridges analysed in this study are promoted as iconic element and tourist attraction through DMOs’ websites. Nevertheless, Booking, Expedia and Orbitz OTAs promote and sell products and services related to bridges selected, except in the case of the Millau Viaduct in France, the Si-O-Se-Pol bridge in Iran, the Danyang Kunshan Grand bridge in China and the Royal Gorge in the USA. Furthermore, results support that OTAs need to enhance the quality and variety of products and services that are linked to iconic bridges sightseeing tours because at the moment, there is a great uniformity in the promotion of products and services provided.

This paper contributes to broader debates in the importance of bridges as a tourist attraction and iconic element to attract tourists through tourism promotion websites.

Research indicates that inconsistent gender norm presentations are met with backlash, which is particularly damaging to women. With social media use in selection rising, it is important to understand if this remains consistent for job applicants on social media.

In two experiments, this study investigates hiring managers' reactions to job applicant (in)consistent gender norm-based communication on Facebook (n = 197) and YouTube (n = 203). Participants located in the United States were asked to review social media materials, reported perceptions of task and social attraction, and make hiring recommendations.

Inconsistent with work on backlash in face-to-face settings, results demonstrated that masculine communication styles on social media may be detrimental to job seekers, and this was more pronounced for male job seekers. Feminine presentation styles had more favorable results.

The findings challenge the long-held understanding that men have more leeway to behave in agentic ways in job seeking contexts. While this may remain true in face-to-face settings, these findings suggest that social media, lacking media richness, may be a context in which males experience backlash for agentic behavior.

The research offers a novel perspective investigating traditional gender expectations in the digital realm, paving the way for a more comprehensive understanding of gender in employment contexts. This study contributes to the growing body of research on online behavior and expands understanding of how hiring managers react to gender norms in the era of social media.

This study aims to present a framework for automatically collecting, cleaning and analyzing text (news articles, in this case) to provide valuable decision-making information to destination management organizations. Keeping a record of certain aspects of the projected destination image of an attraction (Cancun in this study) will grant the design of better strategies for the promotion and administration of destinations without the time-consuming effort of manually evaluating high quantities of textual information.

Using Web scraping, news articles were collected from the USA, Mexico and Canada over an interval of one year. The documents were analyzed using an automatic topic modeling method known as Latent Dirichlet Allocation and a coherence analysis to determine the number of themes present in each collection. With the data provided, the authors were able to extract valuable information to understand how Cancun is presented to the countries.

It was found that in all countries, Cancun is an important destination to travel and vacation; however, given the period defined for this study (from July 2021 to July 2022), an important part of the articles analyzed was concerned with the sanitary measures derived from the COVID-19 pandemic. Besides, given the rise of violence and the threat of organized crime, many articles from the three countries are focused on warning potential tourists about the risks of traveling to Cancun.

The examination of the relevant literature revealed that similar analyses are manually performed by the experts on a set of predefined categories. Although those approaches are methodologically sound, the logistic effort and the time used could become prohibitively expensive, precluding carrying out this analysis frequently. Additionally, the preestablished categories to be studied in press articles may distort the results. For these reasons, the proposed framework automatically allows for gathering valuable information for decision-making in an unbiased manner.

The tourism industry is seeing unprecedented growth due to the convergence of the internet and growing travel trends. E-tourism digitises the tourism business, including processes, value chains, infrastructure, services and auxiliary industries, to maximise efficiency and effectiveness. It is in response to the globalisation of the tourism sector, which has spurred the introduction of information and communications technologies (ICTs) during the past four decades. ICT can boost travellers' satisfaction by providing pre-trip information about tourism attractions and allowing them to contact vendors directly, obtain accurate information and get the lowest price.

ICT has made the global tourism sector more competitive by providing pre-trip information about tourism attractions, allowing tourists to contact vendors directly, obtain accurate information and get the lowest price. Search engines, transport capacity and network speeds have increased the number of international travellers who use technology to organise and document their trips. E-tourism reduces seasonality, improves consumer communication and boosts reservations and sales. ICT also affects customer behaviour management and future marketing models and supports tourism industry globalisation by providing practical tools to tourism agents to develop and disseminate their offers globally. Strategic behaviours significantly impact tourism, as eliminating intermediaries shortens the distance between client and provider. ICT is a new way to boost tourism demand, which attracts more tourists and generates more revenue while improving the sector.

Virtual tourism has risen, especially after the global pandemic Covid-19. In the days of lockdown, virtual tours got one of the highest views online, and people satisfied their craving for travelling by experiencing virtual tourism. As destinations reopen themselves, domestic tourism is on the rise in India. Social media channels like YouTube have become the most watchable platforms to experience new ways of travelling among Indians and getting motivated by videos or reels. Virtual tours have given a further boost to the rebuilding of the brand image of these destinations. The study follows the example of a social media YouTube influencer who, through their web content and videos, promotes Indian destinations uniquely and interestingly. The study proposes various triggers that make people travel after watching influencers' videos and getting inspired to explore India from new perspectives and travel smartly. The study would reflect and showcase how effective the influencers are in bringing practical tourism to their proposed destinations by analysing their channel traffic and people engagement tools and how destinations could benefit from them by understanding the attributes that attract global audiences. The study will likely increase awareness of the importance of virtual tourism influencers in brilliant destination branding and smart travelling.

Online impulsive purchasing is growing exponentially, and website-related factors play a substantial role in this phenomenon. This study provides a comprehensive and integrative framework encompassing a variety of website-related factors influencing impulsive purchase behaviour.

The study is a systematic literature review, which includes literature search from two prominent databases. This article consolidates the results of 60 relevant research papers, and thematic analysis is performed on various website-related aspects classified into five research topics.

The different website qualities have been classified into broad themes and their role in online impulse buying has been explored. The antecedents, moderators, mediators, and outcomes are portrayed in an integrated research framework. Possible research gaps have been identified, and a future research agenda has been proposed, representing potential research areas.

As we have included only studies published in the English language, this review may be limited by language bias. Relevant research published in other languages might have been excluded.

This literature review may provide management insights to marketers and practitioners managing online retail websites. To sustain an online business in the long term, it is critical for online retailers to have a thorough understanding of all conceivable website stimuli and develop them in a way that compels consumers to make impulsive purchases.

This study represents an original contribution to the realm of systematic literature reviews. To the best of our knowledge, this is the first SLR that elaborately delineates the influence of website-related factors on online impulse buying behaviour.