Predicting People's Intention Towards Sharing Political Contents in Social Media: The Moderating Effect of Collective Opinion

The purpose of this study is to establish and examine a model explaining sharing of political content in social media. From individuals’ perspective, this study identifies two personal (i.e., altruism and social recognition) and two content related attributes (i.e., perceived truthfulness and value) that can directly affect sharing intention of political contents in social media. Moreover, the proposed direct effects are arguably contingent upon ‘collective opinion’. The empirical results support all the hypotheses except the moderating effect of collective opinion between perceived value and intention. The implications of the findings and future research directions are also discussed.

[1]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[2]  Jörg Henseler,et al.  Testing Moderating Effects in PLS Path Models. An Illustration of Available Procedures , 2005 .

[3]  Matthew J. Salganik,et al.  Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market , 2006, Science.

[4]  Wynne W. Chin How to Write Up and Report PLS Analyses , 2010 .

[5]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[6]  Stephen L. Vargo,et al.  Service-dominant logic: continuing the evolution , 2008 .

[7]  Alice E. Courtney,et al.  Advertising in America: The Consumer View , 1969 .

[8]  Bin Gu,et al.  An investigation of information sharing and seeking behaviors in online investment communities , 2014, Comput. Hum. Behav..

[9]  Carol Kelleher,et al.  Circularity of Customer Service Experience and Customer Perceived Value , 2010 .

[10]  Jacques Bulchand-Gidumal,et al.  Intentions to use social media in organizing and taking vacation trips , 2011, Comput. Hum. Behav..

[11]  Thomas H. Davenport,et al.  Book review:Working knowledge: How organizations manage what they know. Thomas H. Davenport and Laurence Prusak. Harvard Business School Press, 1998. $29.95US. ISBN 0‐87584‐655‐6 , 1998 .

[12]  J. Piliavin,et al.  Altruism: A Review of Recent Theory and Research , 1990 .

[13]  Albert Chan,et al.  Knowledge sharing and social media: Altruism, perceived online attachment motivation, and perceived online relationship commitment , 2014, Comput. Hum. Behav..

[14]  Wen-Lung Shiau,et al.  Does altruism matter on online group buying? Perspectives from egotistic and altruistic motivation , 2015, Inf. Technol. People.

[15]  Chei Sian Lee,et al.  News sharing in social media: The effect of gratifications and prior experience , 2012, Comput. Hum. Behav..

[16]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[17]  M. Hoffman,et al.  Psychological and Biological Perspectives on Altruism , 1978 .

[18]  M. Lindell,et al.  Accounting for common method variance in cross-sectional research designs. , 2001, The Journal of applied psychology.

[19]  Jeffrey V. Nickerson,et al.  2377 People Like this Article: The Influence of Others’ Decisions on Yours , 2009 .

[20]  Kwok Kee Wei,et al.  What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs , 2009, Decis. Support Syst..

[21]  Huaye Li,et al.  Social impacts in social media: An examination of perceived truthfulness and sharing of information , 2014, Comput. Hum. Behav..

[22]  William O. Bearden,et al.  VARYING THE CONTENT OF JOB ADVERTISEMENTS: The Effects of Message Specificity , 2006 .

[23]  Alton Yeow-Kuan Chua,et al.  Why We Share: A Study of Motivations for Mobile Media Sharing , 2009, AMT.

[24]  B. Snoj,et al.  The relationships among perceived quality, perceived risk and perceived product value , 2004 .