Social capital on mobile SNS addiction: A perspective from online and offline channel integrations

– Social capital has been identified as a valuable resource that can lead to various positive outcomes of social activities in both online and offline communities. The purpose of this paper is to argue that social capital can also be an important ingredient in the development of adverse outcomes, such as technology addiction. , – Based on social capital theory and prior research related to perceived integration, a research model that reflects the effects of online and offline social capitals as well as perceived integration on mobile social networking service (SNS) addiction was developed and empirically examined based on data collected from 458 mobile SNS users in China. , – The structural equation modeling analysis shows that online social interaction ties and online social supports positively affect mobile SNS addiction, whereas offline social supports and online social identification negatively affect mobile SNS addiction. In addition, perceived integration between online and offline channels by using mobile SNS positively influences online social interaction ties, offline social interaction ties, and mobile SNS addiction. , – From the practical perspective, the results of the study offer interesting implications for managing mobile SNS addiction. The study found that online social interaction ties and online social support positively influence mobile SNS addiction, whereas offline social support negatively influence mobile SNS addiction. , – The mobile SNS users should invest more time to participate in offline social activities and maintain good social relationships with their family, colleagues, and friends in the real world. , – The present study has both theoretical and practical implications. From a theoretical perspective, unlike many previous studies tend to regard social capital as the predictor of positive outcomes of users’ social activities, the study contributes to the extant information systems literature by exploring the potential negative consequences of social capital on users’ social lives. The results of the study indicate that social capital is a significant predictor of mobile SNS addiction.

[1]  Edward Shih-Tse Wang,et al.  Investigating member commitment to virtual communities using an integrated perspective , 2012, Internet Res..

[2]  Chloris Qiaolei Jiang.  Internet addiction among young people in China: Internet connectedness, online gaming and academic performance decrement , 2014, Internet Res..

[3]  Sascha Steinmann,et al.  Cross-channel integration – is it valued by customers? , 2011 .

[4]  Daniel Beimborn,et al.  How Social Capital Among Information Technology and Business Units Drives Operational Alignment and IT Business Value , 2014, J. Manag. Inf. Syst..

[5]  Shuiqing Yang,et al.  An empirical investigation of mobile services' cross-category promotions , 2013, Int. J. Mob. Commun..

[6]  Alexander Serenko,et al.  Integrating Technology Addiction and Use: An Empirical Investigation of Online Auction Users , 2011, MIS Q..

[7]  Alexander Serenko,et al.  The benefits and dangers of enjoyment with social networking websites , 2012, Eur. J. Inf. Syst..

[8]  Martin Voracek,et al.  Who Commits Virtual Identity Suicide? Differences in Privacy Concerns, Internet Addiction, and Personality Between Facebook Users and Quitters , 2013, Cyberpsychology Behav. Soc. Netw..

[9]  W. S. Chow,et al.  Social network, social trust and shared goals in organizational knowledge sharing , 2008, Inf. Manag..

[10]  Chung-Ping Cheng,et al.  Gender Differences in Relationships of Actual and Virtual Social Support to Internet Addiction Mediated through Depressive Symptoms among College Students in Taiwan , 2008, Cyberpsychology Behav. Soc. Netw..

[11]  Cheng-Chieh Hsiao,et al.  The effect of social capital on community loyalty in a virtual community: Test of a tripartite-process model , 2012, Decis. Support Syst..

[12]  Bong Gyou Lee,et al.  SNS flow, SNS self-disclosure and post hoc interpersonal relations change: Focused on Korean Facebook user , 2014, Comput. Hum. Behav..

[13]  Tao Zhou,et al.  Understanding Online Community User Participation: A Social Influence Perspective , 2011, Internet Res..

[14]  Shuiqing Yang,et al.  Empirical investigation of customers' channel extension behavior: Perceptions shift toward the online channel , 2011, Comput. Hum. Behav..

[15]  S. Ghoshal,et al.  Social Capital, Intellectual Capital, and the Organizational Advantage , 1998 .

[16]  Hsi-Peng Lu,et al.  Predicting mobile social network acceptance based on mobile value and social influence , 2015, Internet Res..

[17]  Gilbert A. Churchill.  A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[18]  Shuiqing Yang,et al.  Integration and consistency between web and mobile services , 2014, Ind. Manag. Data Syst..

[19]  Hyun-Hwa Lee,et al.  Investigating Dimensionality of Multichannel Retailer's Cross-Channel Integration Practices and Effectiveness: Shopping Orientation and Loyalty Intention , 2010 .

[20]  Yufei Yuan,et al.  Online game addiction among adolescents: motivation and prevention factors , 2012, Eur. J. Inf. Syst..

[21]  Patrick Y. K. Chau,et al.  Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective , 2012, Int. J. Inf. Manag..

[22]  Beverly B. Tyler,et al.  Antecedents and consequences of social capital on buyer performance improvement , 2008 .

[23]  Mikhail J. Atallah,et al.  Internet addiction: Meta-synthesis of qualitative research for the decade 1996-2006 , 2008, Comput. Hum. Behav..

[24]  Kwok Kee Wei,et al.  Explaining mobile community user participation from a social capital perspective , 2010, Int. J. Mob. Commun..

[25]  Kanliang Wang,et al.  What Affects the Advertising Sharing Behavior among Mobile SNS Users? The Relationships between Social Capital, Outcome Expectations and Prevention Pride , 2014, PACIS.

[26]  Eric T. G. Wang,et al.  Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories , 2006, Decis. Support Syst..

[27]  Stephanie M. Reich,et al.  Online and Offline Social Networks: Use of Social Networking Sites by Emerging Adults , 2008 .

[28]  Mohammad Salehan,et al.  Social networking on smartphones: When mobile phones become addictive , 2013, Comput. Hum. Behav..

[29]  Hsi-Peng Lu,et al.  Intention to Continue Using Facebook Fan Pages from the Perspective of Social Capital Theory , 2011, Cyberpsychology Behav. Soc. Netw..

[30]  Kai H. Lim,et al.  User Satisfaction with Information Technology Service Delivery: A Social Capital Perspective , 2012, Inf. Syst. Res..

[31]  M. Griffiths,et al.  Online Social Networking and Addiction—A Review of the Psychological Literature , 2011, International journal of environmental research and public health.

[32]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[33]  Edward Shih-Tse Wang,et al.  Social Support and Social Interaction Ties on Internet Addiction: Integrating Online and Offline Contexts , 2013, Cyberpsychology Behav. Soc. Netw..

[34]  Stephen Cox,et al.  Keeping in constant touch: The predictors of young Australians' mobile phone involvement , 2011, Comput. Hum. Behav..

[35]  Hyung-Jin Woo,et al.  Self as an antecedent of mobile phone addiction , 2011, Int. J. Mob. Commun..

[36]  Shuiqing Yang,et al.  The benefits and dangers of flow experience in high school students' internet usage: The role of parental support , 2014, Comput. Hum. Behav..