An empirical study on continual usage intention of microblogging: the case of Sina

Purpose – Sina Microblog is the most popular microblog in China. The purpose of this research is to explore the factors that influence Sina microbloggers' intention to continue using this platform.Design/methodology/approach – This research proposes the effects of user satisfaction based on perceived usefulness, experiential value and knowledge sharing motivation and community norm on continual usage intention.Findings – The results suggest that continual usage intention is directly affected by perceived usefulness, experiential value, egoism, satisfaction and community norm. Theoretical and practical implications are considered.Originality/value – This paper is one of the earliest empirical studies in China to explore why Chinese consumers intend to rather than actually use Sina Microblog.

[1]  Carlos Flavián,et al.  The role of security, privacy, usability and reputation in the development of online banking , 2007, Online Inf. Rev..

[2]  James C. Wetherbe,et al.  The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing , 1990, Inf. Syst. Res..

[3]  J. Tang,et al.  Integrating experiential value of blog use into the expectation-confirmation theory model , 2010 .

[4]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[5]  M. Lynne Markus,et al.  The experienced "sense" of a virtual community: characteristics and processes , 2004, DATB.

[6]  Kevin E. Voss,et al.  Measuring the Hedonic and Utilitarian Dimensions of Attitude: a Generally Applicable Scale , 1997 .

[7]  R. Gurrea,et al.  The role played by perceived usability, satisfaction and consumer trust on website loyalty , 2006, Inf. Manag..

[8]  Per E. Pedersen,et al.  Explaining intention to use mobile chat services: moderating effects of gender , 2005 .

[9]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[10]  Henri Barki,et al.  Measuring User Participation, User Involvement, and User Attitude , 1994, MIS Q..

[11]  Mie Harder,et al.  How Do Rewards and Management Styles Influence the Motivation to Share Knowledge , 2008 .

[12]  M. Hsu,et al.  Modeling service encounters and customer experiential value in retailing , 2007 .

[13]  Edward E. Rigdon,et al.  Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. , 2001 .

[14]  Edward E. Rigdon,et al.  The effect of dynamic retail experiences on experiential perceptions of value: an Internet and catalog comparison , 2002 .

[15]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[16]  J. Tirole,et al.  Intrinsic and Extrinsic Motivation , 2003 .

[17]  Mary Beth Rosson,et al.  How and why people Twitter: the role that micro-blogging plays in informal communication at work , 2009, GROUP.

[18]  Timothy W. Finin,et al.  Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.

[19]  Kar Yan Tam,et al.  The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..

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

[21]  Jyh-Shen Chiou,et al.  The effect of community identification on attitude and intention toward a blogging community , 2009, Internet Res..

[22]  M. Cheng,et al.  An empirical study of experiential value and lifestyles and their effects on satisfaction in adolescents: an example using online gaming. , 2007, Adolescence.

[23]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[24]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[25]  Shin-Yuan Hung,et al.  User acceptance of WAP services: test of competing theories , 2005, Comput. Stand. Interfaces.

[26]  Stuart J. Barnes,et al.  Modeling Use Continuance Behavior in Microblogging Services: The Case of Twitter , 2011, J. Comput. Inf. Syst..

[27]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

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

[29]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[30]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[31]  Grace W. Pan,et al.  Understanding Customer-Derived Value in the Timeshare Industry , 2007 .

[32]  Dan Jong Kim,et al.  Consumers Mobile Internet Service Satisfaction and their Continuance Intentions , 2004, AMCIS.

[33]  E. Hirschman,et al.  Hedonic Consumption: Emerging Concepts, Methods and Propositions , 1982 .

[34]  J. Beckmann,et al.  Action control : from cognition to behavior , 1985 .

[35]  Robert F. DeVellis,et al.  Scale Development: Theory and Applications. , 1992 .

[36]  Samuel Messick,et al.  STANDARDS OF VALIDITY AND THE VALIDITY OF STANDARDS IN PERFORMANCE ASSESSMENT , 2005 .

[37]  A. Bernardo,et al.  Huberman, Romero, and Wu, Fang. . Social Networks that Matter: Twitter Under the Microscope. , 2008 .

[38]  George B. Sproles,et al.  Consumer Decision‐Making Styles as a Function of Individual Learning Styles , 1990 .

[39]  Sheng Wu,et al.  Integrating perceived playfulness into expectation-confirmation model for web portal context , 2005, Inf. Manag..

[40]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[41]  Liqiong Deng,et al.  User experience, satisfaction, and continual usage intention of IT , 2010, Eur. J. Inf. Syst..

[42]  Balachander Krishnamurthy,et al.  A few chirps about twitter , 2008, WOSN '08.

[43]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[44]  Chien-Lung Hsu,et al.  Effect of Commitment and Trust towards Micro-blogs on Consumer Behavioral Intention: A Relationship Marketing Perspective , 2010, Int. J. Electron. Bus. Manag..

[45]  R. Oliver Cognitive, affective, and attribute bases of the satisfaction response. , 1993 .

[46]  Robert W. Zmud,et al.  Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Factors, and Organizational Climate , 2005, MIS Q..

[47]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[48]  M. McLure Wasko,et al.  "It is what one does": why people participate and help others in electronic communities of practice , 2000, J. Strateg. Inf. Syst..

[49]  I. Ajzen Attitudes, Personality and Behavior , 1988 .

[50]  Kar Yan Tam,et al.  Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet , 2006, Decis. Support Syst..