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1 – 10 of over 26000Peng Ouyang, Jiaming Liu and Xiaofei Zhang
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Keywords
Fuzhen Liu, Kee-hung Lai and Chaocheng He
To promote the success of peer-to-peer accommodation, this study examines the effects of online host–guest interaction as well as the interaction's boundary conditions of listing…
Abstract
Purpose
To promote the success of peer-to-peer accommodation, this study examines the effects of online host–guest interaction as well as the interaction's boundary conditions of listing price and reputation on listing popularity.
Design/methodology/approach
Using 330,686 data collected from Airbnb in the United States of America, the authors provide empirical evidence to answer whether social-oriented self-presentation and response rate influence listing popularity from the perspective of social exchange theory (SET). In addition, the authors investigate how these two kinds of online host–guest interactions work with listing price and reputation to influence listing popularity.
Findings
The results reveal the positive association between online host–guest interaction and listing popularity. Notably, the authors find that listing price strengthens but listing reputation weakens the positive effects of online host–guest interactions on listing popularity in peer-to-peer accommodation.
Originality/value
This study is the first attempt to adopt SET to explain the importance of online host–guest interactions in influencing listing popularity as well as examine the moderating role of listing price and reputation on the above relationship.
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Tser Yieth Chen, Hsueh-Ling Wu and Zhi-Cheng Tai
The purpose of this study is to explore the effect of popularity appeals (appearance popularity and media popularity) on online experiential gift purchase intention based on…
Abstract
Purpose
The purpose of this study is to explore the effect of popularity appeals (appearance popularity and media popularity) on online experiential gift purchase intention based on different types of givers (close or distant givers) and different gift attributes (conspicuous or inconspicuous gifts), a novel research consideration.
Design/methodology/approach
This study was conducted with two experiments and examined four hypotheses. These hypotheses were examined using a 2 × 2 between-subjects design, and a two-factorial variance analysis was conducted.
Findings
This study found that for close givers, appearance popularity appeals created a greater purchase intention than media popularity appeals. That is, gift-givers faced appearance popularity rather than media popularity, driving them to face a strong feeling of excitement for their idol worship. This finding implies that the human brand theory works.
Practical implications
The empirical results can shed light on brand or product managers in raising the ratio of appearance popularity appeals to marketing in online experiential gift-giving. Gift marketers should accurately understand the current trends and social preferences using a database and big data analysis tools.
Originality/value
This study is the first to investigate whether the two types of popularity appeals affect gift purchase intention in online experiential gifts.
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Keywords
Li Tang, Zhen Xu and Xuanxuan Lyu
Sharing accommodation has lowered the threshold for digital entrepreneurship in the accommodation industry, prompting entrepreneurs to join this industry. However, digital…
Abstract
Purpose
Sharing accommodation has lowered the threshold for digital entrepreneurship in the accommodation industry, prompting entrepreneurs to join this industry. However, digital micro-entrepreneurs have been ignored by previous studies. To bridge the gap, this study aims to explore the impact of reputational asset (host popularity) and host’s human capital (entrepreneurial entry speed and managerial seniority) on host expansion grounded on the resource-based theory.
Design/methodology/approach
This study obtained crawler data by python from Airbnb.com, locking the time range to the past five years from 2013 to 2018 in Beijing of China. This study finally has 348 hosts’ balanced panel data to estimate the ordinary least squares regression model with fixed-year effect.
Findings
Results demonstrate that host popularity has a significant positive effect on host expansion. Furthermore, entrepreneurial entry speed strengthens the positive effect of host popularity on host expansion, whereas managerial seniority weakens the positive effect. The three-way interaction analysis reveals that the positive impact of host popularity on host expansion is strongest when managerial seniority is smaller and entrepreneurial entry speed is faster.
Research limitations/implications
The research has important implications to how the platforms interfere with the implementation of host expansion strategy and adds valuable insights to understand the transformation process of host expansion from nonprofessional to professional.
Originality/value
The research has expanded the literature related to the micro-entrepreneurship of the sharing economy and verified the application of resource-based theory under sharing economy.
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Keywords
Hao Zhang, Qingyue Lin, Chenyue Qi and Xiaoning Liang
This study aims to explore how online reviews and users’ social network centrality interact to influence idea popularity in open innovation communities (OICs).
Abstract
Purpose
This study aims to explore how online reviews and users’ social network centrality interact to influence idea popularity in open innovation communities (OICs).
Design/methodology/approach
This study used Python to obtain data from the LEGO Innovation Community. In total, 285,849 reviews across 4,475 user designs between March 2019 and March 2021 were extracted to test this study’s hypotheses.
Findings
The ordinary least square regression analysis results show that review volume, review valence, review variance and review length all positively influence idea popularity. In addition, users’ in-degree centrality positively interacts with review valence, review variance and review length to influence idea popularity, while their out-degree centrality negatively interacts with such effects.
Research limitations/implications
Drawing on the interactive marketing perspective, this study employs a large sample from the LEGO community and examines user design and idea popularity from a community member’s point of view. Moreover, this study is the first to confirm the role of online reviews and user network centrality in influencing idea popularity in OICs from a social network perspective. Furthermore, by integrating social network analysis and persuasion theories, this study confirms the interaction effects of review characteristics and users’ social network centrality on idea popularity.
Practical implications
This study’s results highlight that users should actively interact and share with reviewers their professional product design knowledge and/or the journey of their design to improve the volume of reviews on their user designs. Moreover, users could also draw more attention from other users by actively responding to heterogeneous reviews. In addition, users should be cautious with the number of people they follow and ensure that they improve their in-degree rather than out-degree centrality in their social networks.
Originality/value
This study integrates social network analysis and persuasion theories to explore the effects of online reviews and users’ centrality on idea popularity in OICs, a vital research issue that has been overlooked.
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Tongyang Zhang, Fang Tan, Chao Yu, Jiexun Wu and Jian Xu
Proper topic selection is an essential prerequisite for the success of research. To study this, this article proposes an important concerned factor of topic selection-topic…
Abstract
Purpose
Proper topic selection is an essential prerequisite for the success of research. To study this, this article proposes an important concerned factor of topic selection-topic popularity, to examine the relationship between topic selection and team performance.
Design/methodology/approach
The authors adopt extracted entities on the type of gene/protein, which are used as proxies as topics, to keep track of the development of topic popularity. The decision tree model is used to classify the ascending phase and descending phase of entity popularity based on the temporal trend of entity occurrence frequency. Through comparing various dimensions of team performance – academic performance, research funding, relationship between performance and funding and corresponding author's influence at different phases of topic popularity – the relationship between the selected phase of topic popularity and academic performance of research teams can be explored.
Findings
First, topic popularity can impact team performance in the academic productivity and their research work's academic influence. Second, topic popularity can affect the quantity and amount of research funding received by teams. Third, topic popularity can impact the promotion effect of funding on team performance. Fourth, topic popularity can impact the influence of the corresponding author on team performance.
Originality/value
This is a new attempt to conduct team-oriented analysis on the relationship between topic selection and academic performance. Through understanding relationships amongst topic popularity, team performance and research funding, the study would be valuable for researchers and policy makers to conduct reasonable decision making on topic selection.
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Keywords
Ruihe Yan, Kem Zikun Zhang and Xiang Gong
Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and…
Abstract
Purpose
Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and development of the P2P accommodation platform, this issue has received limited attention in the tourism management discipline. Drawing upon the heuristic-systematic model and uncertainty reduction theory, this study aims to examine the impacts of host and property attributes on listing popularity.
Design/methodology/approach
The model was empirically validated using a data set of 6,828 listings on a popular P2P accommodation platform called Airbnb. This study chooses a hierarchical regression analysis to perform the model validation.
Findings
The findings reveal that host self-disclosure, host reputation and host identity verification are key host attributes in promoting listing popularity. Meanwhile, property visual description, property photo verification and property visual appeal are important property attributes in facilitating listing popularity.
Research limitations/implications
The study adds useful insights on understanding on determinants of listing popularity. Future researchers are recommended to empirically verify the underlying psychological mechanism by which host attributes and property attributes influence listing popularity.
Practical implications
The P2P accommodation platform should promote the listing popularity by taking advantage of the host attributes and providing property attributes.
Originality/value
First, to the best of the authors’ knowledge, this study is one of the few studies to explore the formation of the listing popularity. Second, this study examines how the host and property attributes promote the listing popularity through the heuristic and systematic information processing modes.
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Adnan Muhammad Shah, Wazir Muhammad and KangYoon Lee
This study examines how service feedback and physician popularity affect physician demand in the context of virtual healthcare environment. Based on the signaling theory, the…
Abstract
Purpose
This study examines how service feedback and physician popularity affect physician demand in the context of virtual healthcare environment. Based on the signaling theory, the critical factor of environment uncertainty (i.e. disease risk) and its impact on physician demand is also investigated. Further, the research on the endogeneity of online reviews in healthcare is also examined in the current study.
Design/methodology/approach
A secondary data econometric analysis using 3-wave data sets of 823 physicians obtained from two PRWs (Healthgrades and Vitals) was conducted. The analysis was run using the difference-in-difference method to consider physician and website-specific effects.
Findings
The study's findings indicate that physician popularity has a stronger positive effect on physician demand compared with service feedback. Improving popularity leads to a relative increase in the number of appointments, which in turn enhance physician demand. Further, the impact of physician popularity on physician demand is positively mitigated by the disease risk.
Originality/value
The authors' research contributes to a better understanding of the signaling transmission mechanism in the online healthcare environment. Further, the findings provide practical implications for key stakeholders into how an efficient feedback and popularity mechanism can be built to enhance physician service outcomes in order to maximize the financial efficiency of physicians.
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Yan Yu, Ben Qianqian Liu, Jin-Xing Hao and Chuanqi Wang
Prior literature indicates conflicting effects of online product information, which may complicate or simplify consumer purchase decisions. Therefore, the purpose of this paper is…
Abstract
Purpose
Prior literature indicates conflicting effects of online product information, which may complicate or simplify consumer purchase decisions. Therefore, the purpose of this paper is to investigate how different online product information (i.e. the choice set size and the popularity information and its presentation) affect consumers’ decision making and the related market outcomes.
Design/methodology/approach
This research relies on information-processing theories and social learning theory. By stepwise conducting two 2×2 within-subject factorial design experiments, this research examines the effects of the choice set size, product popularity information and product presentation on consumers’ decision making and the aggregated market outcomes.
Findings
The results show that product popularity information led consumers to either simplify or complicate their decision strategy, depending on the size of the choice sets. Additionally, presenting products by their popularity in descending order resulted in consumers making decisions with a larger decision bias. The results also show that the presence of product popularity was more likely to forge a “superstar” structure in a large market.
Practical implications
The research suggests that e-retailers and e-marketplace operators should carefully utilize product popularity information. Multiple mechanisms that shape different shopping environments with different orders are necessary to create a long-tailed market structure.
Originality/value
This study found the mixed effects of product popularity information when it is presented in different environments (i.e. the large/small choice set and the sorted/randomized product presentation). The overuse of popularity information may induce consumers’ decision bias.
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Keywords
Duen-Ren Liu, Chuen-He Liou, Chi-Chieh Peng and Huai-Chun Chi
Social bookmarking is a system which allows users to share, organise, search and manage bookmarks of web resources. However, with the rapid growth in the production of online…
Abstract
Purpose
Social bookmarking is a system which allows users to share, organise, search and manage bookmarks of web resources. However, with the rapid growth in the production of online documents, people are facing the problem of information overload. Social bookmarking web sites offer a solution to this by providing push counts, which are counts of users’ recommendations of articles, and thus indicate the popularity and interest thereof. In this way, users can use the push counts to find popular and interesting articles. A measure of popularity-based solely on push counts, however, cannot be considered a true reflection of popularity. The paper aims to discuss these issues.
Design/methodology/approach
In this paper, the authors propose to derive the degree of popularity of an article by considering the reputation of the users who push the article. Moreover, the authors propose a novel personalised blog article recommendation approach which combines reputation-based group popularity with content-based filtering (CBF), for the recommendation of popular blog articles which satisfy users’ personal preferences.
Findings
The experimental results show that the proposed approach outperforms conventional CBF, item-based and user-based collaborative filtering approaches. The proposed approach considering reputation-based group popularity scores on neighbouring articles indeed can improve the recommendation quality of traditional CBF method.
Originality/value
The recommendation approach modifies CBF method by considering the target user's group preferences, to overcome the limitation of CBF which arises from the recommending only items similar to those the user has previously liked. Users with similar article preferences (profiles) may form a group of users with similar interests. A group's preferences may also reflect an individual's preferences. The reputation-based group preferences of the target user's group can be used to complement the target user's preferences.
Details