Examining users' knowledge sharing behaviour in online health communities

The purpose of this paper is to draw on the stimulus-organism-response (SOR) framework to examine users’ knowledge sharing in online health communities (OHC).,Based on the 326 valid responses collected from a survey, structural equation modelling was employed to examine the research model.,The results indicated that both information quality and service quality affect trust in community, whereas both informational support and emotional support affect trust in other members. Both types of trust and privacy risk determine users’ sharing intention, which in turn affects sharing behaviour.,The results imply that service providers need to improve their community platforms and create a supportive climate in order to facilitate users’ trust and their knowledge sharing behaviour.,Previous studies have examined a few determinants of OHC user behaviour such as privacy concern, trust and motivations. However, they have seldom disclosed the internal decision process underlying users’ knowledge sharing. This research tries to fill the gap.

[1]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[2]  Gregor Petric,et al.  The benefits and challenges of online professional-patient interaction: Comparing views between users and health professional moderators in an online health community , 2018, Comput. Hum. Behav..

[3]  Nima Kordzadeh,et al.  Antecedents of privacy calculus components in virtual health communities , 2016, Int. J. Inf. Manag..

[4]  Bin Wang,et al.  How attachment influences users' willingness to donate to content creators in social media: A socio-technical systems perspective , 2017, Inf. Manag..

[5]  L. Kerbache,et al.  Investigating the drivers for social commerce in social media platforms: Importance of trust, social support and the platform perceived usage , 2018 .

[6]  Xuan Liu,et al.  Research on gender differences in online health communities , 2018, Int. J. Medical Informatics.

[7]  Zhaohua Deng,et al.  Knowledge sharing motivations in online health communities: A comparative study of health professionals and normal users , 2017, Comput. Hum. Behav..

[8]  Mercy Mpinganjira,et al.  Precursors of trust in virtual health communities: A hierarchical investigation , 2018, Inf. Manag..

[9]  Efraim Turban,et al.  What Drives Social Commerce: The Role of Social Support and Relationship Quality , 2011, Int. J. Electron. Commer..

[10]  Chunmei Gan,et al.  Gratifications for using social media , 2018 .

[11]  Tao Zhou,et al.  Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory , 2009, Comput. Hum. Behav..

[12]  Jing Zhao,et al.  The influence of social capital on knowledge creation in online health communities , 2016, Inf. Technol. Manag..

[13]  Xiao-Liang Shen,et al.  Consumers' decisions in social commerce context: An empirical investigation , 2015, Decis. Support Syst..

[14]  Saonee Sarker,et al.  Understanding factors affecting users' social networking site continuance: A gender difference perspective , 2017, Inf. Manag..

[15]  Naresh K. Malhotra,et al.  Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..

[16]  Hsiu-Fen Lin,et al.  Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions , 2007, J. Inf. Sci..

[17]  Yun Zhu,et al.  The role of negative network externalities in SNS fatigue: An empirical study based on impression management concern, privacy concern, and social overload , 2018, Data Technol. Appl..

[18]  Kuo-Chien Chang,et al.  The mediating effect of flow experience on social shopping behavior , 2017 .

[19]  Nima Kordzadeh,et al.  Communicating Personal Health Information in Virtual Health Communities: An Integration of Privacy Calculus Model and Affective Commitment , 2017, J. Assoc. Inf. Syst..

[20]  Xuequn Wang,et al.  Seeking Health Information on Social Media: A Perspective of Trust, Self-Determination, and Social Support , 2018, J. Organ. End User Comput..

[21]  Carolina Herrando,et al.  Does privacy assurance on social commerce sites matter to millennials? , 2019, Int. J. Inf. Manag..

[22]  Chia-Lin Hsu,et al.  Elucidating the determinants of purchase intention toward social shopping sites: A comparative study of Taiwan and Japan , 2017, Telematics Informatics.

[23]  Qian Huang,et al.  The influence of peer characteristics and technical features of a social shopping website on a consumer's purchase intention , 2016, Int. J. Inf. Manag..

[24]  Robert P. Bostrom,et al.  Mis problems and failures: a socio-technical perspective , 1977 .

[25]  Qian Huang,et al.  What Drives Trust Transfer? The Moderating Roles of Seller-Specific and General Institutional Mechanisms , 2015, Int. J. Electron. Commer..

[26]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

[27]  Morad Benyoucef,et al.  Building brand loyalty in social commerce: The case of brand microblogs , 2016, Electron. Commer. Res. Appl..

[28]  J. Rossiter,et al.  The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs , 2007 .

[29]  Han Zhang,et al.  Knowledge sharing in online health communities: A social exchange theory perspective , 2016, Inf. Manag..

[30]  Qian Huang,et al.  Economic and Social Satisfaction of Buyers on Consumer-to-Consumer Platforms: The Role of Relational Capital , 2017, Int. J. Electron. Commer..

[31]  Donghong Ding,et al.  M-banking barriers in Pakistan: a customer perspective of adoption and continuity intention , 2019, Data Technol. Appl..

[32]  Merrill Warkentin,et al.  Exposing others' information on online social networks (OSNs): Perceived shared risk, its determinants, and its influence on OSN privacy control use , 2017, Inf. Manag..

[33]  H. Jeff Smith,et al.  Antecedents and outcomes of information privacy concerns in a peer context: An exploratory study , 2017, Eur. J. Inf. Syst..

[34]  Tiago Oliveira,et al.  Modelling and testing consumer trust dimensions in e-commerce , 2017, Comput. Hum. Behav..

[35]  Jörn Altmann,et al.  Social commerce development in emerging markets , 2018, Electron. Commer. Res. Appl..

[36]  Yongqiang Sun,et al.  The privacy-personalization paradox in mHealth services acceptance of different age groups , 2016, Electron. Commer. Res. Appl..

[37]  Tao Zhou,et al.  An empirical examination of continuance intention of mobile payment services , 2013, Decis. Support Syst..

[38]  Alexander Hars,et al.  Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..

[39]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[40]  Qian Huang,et al.  The role of website quality and social capital in building buyers' loyalty , 2017, Int. J. Inf. Manag..

[41]  Cameron W. Piercy,et al.  Notification pending: Online social support from close and nonclose relational ties via Facebook , 2014, Comput. Hum. Behav..

[42]  Hefu Liu,et al.  Enhancing the flow experience of consumers in China through interpersonal interaction in social commerce , 2016, Comput. Hum. Behav..

[43]  Hock-Hai Teo,et al.  The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services , 2009, J. Manag. Inf. Syst..

[44]  Qing Zhu,et al.  Health information privacy concerns, antecedents, and information disclosure intention in online health communities , 2017, Inf. Manag..

[45]  Jing Yang,et al.  Social network fatigue affecting continuance intention of social networking services , 2019, Data Technol. Appl..

[46]  Ephraim R. McLean,et al.  Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model , 2004, Int. J. Electron. Commer..

[47]  Ana Paula Cabral Seixas Costa,et al.  Personality Traits and Negotiation Style Effects on Negotiators' Perceptions in a Web-Based Negotiation , 2018, J. Organ. End User Comput..

[48]  I. Ajzen The theory of planned behavior , 1991 .

[49]  Y. Gong,et al.  Social capital, motivations, and knowledge sharing intention in health Q&A communities , 2017 .

[50]  Yong Tan,et al.  Feeling Blue? Go Online: An Empirical Study of Social Support among Patients , 2010, Inf. Syst. Res..

[51]  Reeva Lederman,et al.  Online health communities: how do community members build the trust required to adopt information and form close relationships? , 2017, Eur. J. Inf. Syst..

[52]  Qing Yan,et al.  Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context , 2018, Int. J. Inf. Manag..

[53]  Hong Zhang,et al.  The impacts of technological environments and co-creation experiences on customer participation , 2015, Inf. Manag..

[54]  Mohana Shanmugam,et al.  The applications of social commerce constructs , 2016, Int. J. Inf. Manag..