Relationship between Motivation and Behavior of SNS User

With 225 SNS network users as the subjects, the research focuses on the influence of SNS network users’ motivation on their behavior. Data are collected through questionnaires and the relationship between motivation and behavior is studied with relative analytical methods. As shown in the study, information and instrument motivation, entertainment and aesthetic motivation, social connection motivation, altruism motivation, ascription and identification motivation, and intrisic motivation have significant positive correlation with usage time, usage frequency and usage level of the users.

[1]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[2]  Nina Koiso-Kanttila,et al.  Time, attention, authenticity and consumer benefits of the Web , 2005 .

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

[4]  Lawrence A. Crosby,et al.  Relationship Quality in Services Selling: An Interpersonal Influence Perspective: , 1990 .

[5]  P. Pavlou WHAT DRIVES ELECTRONIC COMMERCE? A THEORY OF PLANNED BEHAVIOR PERSPECTIVE. , 2002 .

[6]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

[7]  Xueming Luo Trust production and privacy concerns on the Internet , 2002 .

[8]  J. Bakos Reducing buyer search costs: implications for electronic marketplaces , 1997 .

[9]  Ohbyung Kwon,et al.  An empirical study of the factors affecting social network service use , 2010, Comput. Hum. Behav..

[10]  B. Ratchford,et al.  An Empirical Test of a Model of External Search for Automobiles , 1991 .

[11]  D. Fesenmaier,et al.  Towards understanding members’ general participation in and active contribution to an online travel community , 2004 .

[12]  Marcel Creemers,et al.  Predicting online purchase behavior: replications and tests of competing models , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[13]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[14]  V. Zeithaml Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence , 1988 .

[15]  Katelyn Y. A. McKenna,et al.  Causes and Consequences of Social Interaction on the Internet: A Conceptual Framework , 1999 .

[16]  R. Bagozzi,et al.  Intentional social action in virtual communities , 2002 .

[17]  Anol Bhattacherjee,et al.  Individual Trust in Online Firms: Scale Development and Initial Test , 2002, J. Manag. Inf. Syst..

[18]  Chao-Min Chiu,et al.  A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior , 2006, Int. J. Hum. Comput. Stud..

[19]  V. Zeithaml,et al.  E-S-QUAL A Multiple-Item Scale for Assessing Electronic Service Quality , 2004 .

[20]  Vincent Cho,et al.  A study of the roles of trusts and risks in information-oriented online legal services using an integrated model , 2006, Inf. Manag..

[21]  Paul A. Pavlou,et al.  Building Effective Online Marketplaces with Institution-Based Trust , 2004, Inf. Syst. Res..

[22]  Sirkka L. Jarvenpaa,et al.  Consumer Trust in an Internet Store: A Cross-Cultural Validation , 2006, J. Comput. Mediat. Commun..

[23]  F. Reichheld,et al.  E-LOYALTY: YOUR SECRET WEAPON ON THE WEB , 2003 .

[24]  Earl R. Babbie,et al.  The practice of social research , 1969 .

[25]  Peter A. Todd,et al.  Consumer Reactions to Electronic Shopping on the World Wide Web , 1996, Int. J. Electron. Commer..

[26]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[27]  V. Zeithaml Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

[28]  Paul A. Pavlou,et al.  Evidence of the Effect of Trust Building Technology in Electronic Markets: Price Premiums and Buyer Behavior , 2002, MIS Q..

[29]  A. Parasuraman,et al.  Service quality delivery through web sites: A critical review of extant knowledge , 2002, Journal of the Academy of Marketing Science.

[30]  Moez Limayem,et al.  What makes consumers buy from Internet? A longitudinal study of online shopping , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[31]  R. Kozinets E-tribalized Marketing?: The Strategic Implications of Virtual Communities of Consumption , 1999 .

[32]  Lina Zhou,et al.  ONLINE SHOPPING ACCEPTANCE MODEL — A CRITICAL SURVEY OF CONSUMER FACTORS IN ONLINE SHOPPING , 2007 .

[33]  J. Gill,et al.  Research Methods For Managers , 1991 .

[34]  David Gefen,et al.  Customer Loyalty in E-Commerce , 2002, J. Assoc. Inf. Syst..

[35]  Ping Zhang,et al.  CONSUMER ONLINE SHOPPING ATTITUDES ANDBEHAVIOR: AN ASSESSMENT OF RESEARCH , 2002 .

[36]  Sirkka L. Jarvenpaa,et al.  Consumer trust in an Internet store , 2000, Inf. Technol. Manag..

[37]  D. Gefen,et al.  E-commerce: the role of familiarity and trust , 2000 .

[38]  David Gefen,et al.  Reflections on the dimensions of trust and trustworthiness among online consumers , 2002, Data Base.

[39]  R. Bagozzi,et al.  A Social Influence Model of Consumer Participation in Network- and Small-Group-Based Virtual Communities , 2004 .

[40]  Sijun Wang,et al.  Cue-based Trust in an Online Shopping Environment : Conceptualization and Propositions , 2004 .