Predicting users' continued engagement in online health communities from the quantity and quality of received support

Wang, Xiangyu; High, Andrew C.; Xi, Wang; Zhao, Kang

doi:10.1002/asi.24436

Cited by 23 publications

(40 citation statements)

References 63 publications

(71 reference statements)

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“…Without online education platforms, online education mode couldn't be implemented [27]. The availability of the use rights of online education products, and the usefulness of online education products are two things most concerned by online education platform users [28]. The advantages of online education have well satisfied the users' concerns about the access to use rights [29].…”

Section: A Theoretical Study Of the Acceptance Behavior Of Online Educationmentioning

confidence: 99%

Analysis of Factors Affecting User Willingness to Use Virtual Online Education Platforms

Shen

Jianli

2022

Int. J. Emerg. Technol. Learn.

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With the growing recognition and acceptance of virtual online education, more and more educational institutions are switching from offline business to online business. However, users differ in their willingness to use virtual online education platforms. This paper explores the factors affecting user willingness to use such platforms, laying a theoretical basis for promoting virtual online education. The main findings are as follows: college students are positive and in favor of extracurricular learning; the students’ demand for online learning contents varies with gender, grade, and major; the long-term willingness to use depends on perceived usefulness, satisfaction, and perceived switching cost, of which the last factor is the key contributor to increasing user resistance; the long-term willingness to use online education platforms is influenced by perceived usefulness, expected confirmation, content quality, service quality, system quality, satisfaction, and perceived switching cost, etc.

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Section: A Theoretical Study Of the Acceptance Behavior Of Online Educationmentioning

confidence: 99%

Analysis of Factors Affecting User Willingness to Use Virtual Online Education Platforms

Shen

Jianli

2022

Int. J. Emerg. Technol. Learn.

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“…The second research stream focuses on designing interventions to improve user engagement. System design [3,10], social support [11,12], gamification [13,14], and channels [15] are the most frequently investigated interventions to promote user engagement. For the system design, Baumel and Kane [10] found that therapeutic persuasiveness, therapeutic alliance, visual design, and content predict an increase in user engagement with eHealth interventions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition, the more engaged members were, the more positive their health expectations were. Wang et al [12] revealed that the amount and match of received support were positive and significant predictors of new users' continued engagement. For gamification, Edney et al [13] found that the inclusion of gamified features enhanced engagement in an app-based physical activity intervention.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To bridge this research gap, we provide an analysis of user engagement on all eHealth sites with cross-site clickstream data in this study. Following the two research streams on user engagement [5][6][7][8][9][10][11][12][13][14][15], we focus on both user engagement patterns and engagement interventions.…”

Section: Research Questionsmentioning

confidence: 99%

“…Although many previous studies have investigated engagement patterns [5][6][7][8][9] and engagement interventions [3,[10][11][12][13][14][15] on eHealth websites, most of them only focus on a single website. As a result, the research findings can only be applied to the corresponding categories of the eHealth website.…”

Section: Introductionmentioning

confidence: 99%

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Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study

Jia¹,

Yu²,

Bao³

et al. 2021

J Med Internet Res

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Background User engagement is a key performance variable for eHealth websites. However, most existing studies on user engagement either focus on a single website or depend on survey data. To date, we still lack an overview of user engagement on multiple eHealth websites derived from objective data. Therefore, it is relevant to provide a holistic view of user engagement on multiple eHealth websites based on cross-site clickstream data. Objective This study aims to describe the patterns of user engagement on eHealth websites and investigate how platforms, channels, sex, and income influence user engagement on eHealth websites. Methods The data used in this study were the clickstream data of 1095 mobile users, which were obtained from a large telecom company in Shanghai, China. The observation period covered 8 months (January 2017 to August 2017). Descriptive statistics, two-tailed t tests, and an analysis of variance were used for data analysis. Results The medical category accounted for most of the market share of eHealth website visits (134,009/184,826, 72.51%), followed by the lifestyle category (46,870/184,826, 25.36%). The e-pharmacy category had the smallest market share, accounting for only 2.14% (3947/184,826) of the total visits. eHealth websites were characterized by very low visit penetration and relatively high user penetration. The distribution of engagement intensity followed a power law distribution. Visits to eHealth websites were highly concentrated. User engagement was generally high on weekdays but low on weekends. Furthermore, user engagement gradually increased from morning to noon. After noon, user engagement declined until it reached its lowest level at midnight. Lifestyle websites, followed by medical websites, had the highest customer loyalty. e-Pharmacy websites had the lowest customer loyalty. Popular eHealth websites, such as medical websites, can effectively provide referral traffic for lifestyle and e-pharmacy websites. However, the opposite is also true. Android users were more engaged in eHealth websites than iOS users. The engagement volume of app users was 4.85 times that of browser users, and the engagement intensity of app users was 4.22 times that of browser users. Male users had a higher engagement intensity than female users. Income negatively moderated the influence that platforms (Android vs iOS) had on user engagement. Low-income Android users were the most engaged in eHealth websites. Conversely, low-income iOS users were the least engaged in eHealth websites. Conclusions Clickstream data provide a new way to derive an overview of user engagement patterns on eHealth websites and investigate the influence that various factors (eg, platform, channel, sex, and income) have on engagement behavior. Compared with self-reported data from a questionnaire, cross-site clickstream data are more objective, accurate, and appropriate for pattern discovery. Many user engagement patterns and findings regarding the influential factors revealed by cross-site clickstream data have not been previously reported.

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Information practices of administrators for controlling information in an online community of new mothers in rural America

Potnis

Halladay

2022

Asso for Info Science & Tech

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Rarely does any empirical investigation show how administrators routinely control information in online communities and alleviate misinformation, hate speech, and information overload supported by profit-driven algorithms. Thematic analysis of in-depth phone interviews with members and administrators of a "Vaginal Birth After Cesarean" (VBAC) group with over 500 new mothers on Facebook shows that the administrators make 19 choices for recurring, authoritative but evolving 19 information-related activities when (a) forming the VBAC group over Facebook for local new mothers, (b) actively recruiting women who had a VBAC or have related competencies, (c) removing doctors and solicitors from the group, (d) setting up and revising guidelines for interactions in the group, (e) maintaining the focus of the group, (f) initiating distinct threads of conversations on the group, (g) tagging experts during conversations in the group, and (h) correcting misinformation. Thirty-eight information practices of the administrators indicate their nine gatekeeping roles, seven of these roles help administrators alleviate misinformation, hate speech, and information overload. Findings also show that the management of members and their interactions is a prerequisite to controlling information in online communities. Prescriptions to social networking companies and guidelines for administrators of online communities are discussed at the end.

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Predicting users' continued engagement in online health communities from the quantity and quality of received support

Cited by 23 publications

References 63 publications

Analysis of Factors Affecting User Willingness to Use Virtual Online Education Platforms

Analysis of Factors Affecting User Willingness to Use Virtual Online Education Platforms

Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study

Information practices of administrators for controlling information in an online community of new mothers in rural America

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