Online travel information value and its influence on the continuance usage intention of social media

This study tests an empirical model formulated by extending the Triandis model to examine the structural relationships among online travel information value (OTIV), near- and long-term consequences, affect, social factors, facilitating conditions, affective community commitment (ACC), current usage, and continuance usage intention (CUI) among travel-related social media users in Korea. Data were collected through an online survey using the national panel system. A total of 403 respondents were selected based on whether they had traveled at least once within the last 12 months and used at least one social media daily. Eight hypothesized relationships out of eleven were supported. Specifically, as an antecedent of the Triandis model, OTIV had a strong effect on near- and long-term consequences and affect. In addition, the effect of ACC on CUI was stronger than that for current usage. We presented theoretical and practical implications and proposed avenues for future research.

[1]  Elizabeth C. Hirschman,et al.  Aesthetics, Ideologies and the Limits of the Marketing Concept , 1983 .

[2]  Ulrike Gretzel,et al.  Consumer generated content - trends and implications for branding. , 2006 .

[3]  Rachna Shah,et al.  Use of structural equation modeling in operations management research: Looking back and forward ☆ , 2006 .

[4]  G. Akehurst User generated content: the use of blogs for tourism organisations and tourism consumers , 2009 .

[5]  Y. Iwasaki,et al.  Examining Relationships between Leisure Involvement, Psychological Commitment and Loyalty to a Recreation Agency , 2004 .

[6]  J. Yeung,et al.  Understanding ERP system adoption from the user's perspective , 2008 .

[7]  Junghye Angela Kah,et al.  Evaluating travel website motivational communication using a structural equation modelling approach , 2010 .

[8]  Thorsten Hennig-Thurau,et al.  Identifying Hidden Structures in Marketing's Structural Models Through Universal Structure Modeling An Explorative Bayesian Neural Network Complement to LISREL and PLS , 2008 .

[9]  Sunny Jeong,et al.  Collective Production of Public Goods in Online Travel Communities , 2008, J. Inf. Technol. Tour..

[10]  I. Ajzen,et al.  Predicting dishonest actions using the theory of planned behavior , 1991 .

[11]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

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

[13]  Dursun Delen,et al.  Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations , 2011, Decis. Support Syst..

[14]  Alan Dick,et al.  Customer loyalty: Toward an integrated conceptual framework , 1994 .

[15]  이항,et al.  The Effect of Online University Community Characteristics on Community Commitment and Reuse Intentions , 2010 .

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

[17]  J. Hair Multivariate data analysis : a global perspective , 2010 .

[18]  Kexin Zhao,et al.  Predicting users' continuance intention in virtual communities: The dual intention-formation processes , 2013, Decis. Support Syst..

[19]  I. Lai The Roles of Value, Satisfaction, and Commitment in the Effect of Service Quality on Customer Loyalty in Hong Kong–Style Tea Restaurants , 2015 .

[20]  C. Schriesheim Causal Analysis: Assumptions, Models, and Data , 1982 .

[21]  K. Oatley Best Laid Schemes: The Psychology of Emotions , 1992 .

[22]  M. Rokeach,et al.  Beliefs, Attitudes and Values. A Theory of Organization and Change , 1968 .

[23]  Edward Shih-Tse Wang,et al.  Why do customers utilize the internet as a retailing platform , 2009 .

[24]  John Hagel,et al.  The real value of on-line communities , 1999 .

[25]  Waiman Cheung,et al.  Determinants of the intention to use Internet/WWW at work: a confirmatory study , 2001, Inf. Manag..

[26]  Selim Zaim,et al.  Universal structure modeling approach to customer satisfaction index , 2013, Ind. Manag. Data Syst..

[27]  G. Clore,et al.  How emotions inform judgment and regulate thought , 2007, Trends in Cognitive Sciences.

[28]  Vincent S. Lai,et al.  Prediction of Internet and World Wide Web usage at work: a test of an extended Triandis model , 2000, Decis. Support Syst..

[29]  Myunghwa Kang,et al.  Determinants of Sharing Travel Experiences in Social Media , 2013 .

[30]  R. Law,et al.  Social Media in Tourism and Hospitality: A Literature Review , 2013 .

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

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

[33]  Gyehee Lee,et al.  A modified and extended Triandis model for the enablers–process–outcomes relationship in hotel employees' knowledge sharing , 2012 .

[34]  Robert M. Schindler,et al.  Internet forums as influential sources of consumer information , 2001 .

[35]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[36]  Gregory T. Gundlach,et al.  The Structure of Commitment in Exchange , 1995 .

[37]  R. Lazarus Emotion and Adaptation , 1991 .

[38]  Dimitrios Buhalis,et al.  Web 2.0: A study of online travel community , 2008, ENTER.

[39]  D. Mick,et al.  Consumer Research and Semiotics: Exploring the Morphology of Signs, Symbols, and Significance , 1986 .

[40]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[41]  Poul Houman Andersen,et al.  Emotions, trust and relationship development in business relationships: A conceptual model for buyer–seller dyads , 2006 .

[42]  Juhani Iivari,et al.  Why do individuals use computer technology? A Finnish case study , 1995, Inf. Manag..

[43]  D. Gursoy,et al.  AN INTEGRATIVE MODEL OF TOURISTS’ INFORMATION SEARCH BEHAVIOR , 2004 .

[44]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[45]  Naresh K. Malhotra,et al.  Research Note - Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison , 2005, Inf. Syst. Res..

[46]  Gordon L. Fullerton The service quality–loyalty relationship in retail services: does commitment matter? , 2005 .

[47]  M. Chang Predicting Unethical Behavior: A Comparison of the Theory of Reasoned Action and the Theory of Planned Behavior , 1998 .

[48]  Hsiu-Yuan Wang Predicting customers’ intentions to check in on Facebook while patronizing hospitality firms , 2016 .

[49]  John P. Meyer,et al.  The measurement and antecedents of affective, continuance and normative commitment to the organization , 1990 .

[50]  Daniel J. O'Keefe,et al.  Separability of Attitudinal and Normative Influences on Behavioral Intentions in the Fishbein-Ajzen Model , 1984 .

[51]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[52]  Soocheong Jang,et al.  Information Value Structure for Vacation Travel , 2008 .

[53]  John O. Summers,et al.  Relationship Marketing Activities, Commitment, and Membership Behaviors in Professional Associations , 2000 .

[54]  A. Morrison,et al.  Social media micro-film marketing by Chinese destinations: The case of Shaoxing , 2016 .

[55]  Sang-Gun Lee,et al.  Revisiting media selection in the digital era: adoption and usage , 2016 .

[56]  L. Berry Relationship marketing of services—growing interest, emerging perspectives , 1995 .

[57]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..

[58]  Yuksel Ekinci,et al.  The efficacy of shopping value in predicting destination loyalty , 2015 .

[59]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[60]  G. Moschis Consumer Information Use , 1980 .

[61]  R. Vallerand,et al.  Ajzen and Fishbein's theory of reasoned action as applied to moral behavior: A confirmatory analysis. , 1992 .

[62]  Gordon L. Fullerton Creating advocates: The roles of satisfaction, trust and commitment , 2011 .

[63]  F. Okumus,et al.  Generation Y travelers' commitment to online social network websites , 2013 .

[64]  Minjoon Jun,et al.  Customer-perceived value and loyalty: how do key service quality dimensions matter in the context of B2C e-commerce? , 2015, Service Business.

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

[66]  Kai-Yu Tang,et al.  Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives , 2016, Telematics Informatics.

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

[68]  Wendy Wood,et al.  Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. , 1998 .

[69]  Guy Paré,et al.  Discretionary use of personal computers by knowledge workers: testing of a social psychology theoretical model , 1995, Behav. Inf. Technol..

[70]  H. Triandis Attitude and attitude change , 1971 .

[71]  Girish N. Punj The formulation, empirical specification and testing of a model of consumer information search behavior for new automobiles , 1983 .

[72]  J. Hagel,et al.  Net gain: Expanding markets through virtual communities , 1999 .

[73]  D. Fesenmaier,et al.  Expanding the functional information search model , 1998 .

[74]  Glenn J. Browne,et al.  An Empirical Investigation of Web Site Use Using a Commitment-Based Model , 2006, Decis. Sci..

[75]  Iis P. Tussyadiah,et al.  Mediating tourist experiences: access to places via shared videos. , 2009 .

[76]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[77]  Miyoung Jeong,et al.  Adaptation of an information quality framework to measure customers’ behavioral intentions to use lodging Web sites , 2001 .

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

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

[80]  N. Kano,et al.  Attractive Quality and Must-Be Quality , 1984 .

[81]  E. Rogers Diffusion of Innovations , 1962 .

[82]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

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

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

[85]  Kyeong-Seok Han,et al.  The effects of product attributes and service quality of transportation card solutions on service user’s continuance and word-of-mouth intention , 2015 .

[86]  Rosalie J. Hall,et al.  Item Parceling Strategies in SEM: Investigating the Subtle Effects of Unmodeled Secondary Constructs , 1999 .

[87]  B. Byrne Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[88]  S. Hunt,et al.  The Commitment-Trust Theory of Relationship Marketing , 1994 .

[89]  J. Bloemer,et al.  Using customer contact centres as relationship marketing instruments , 2015 .

[90]  Anol Bhattacherjee,et al.  Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model , 2006, MIS Q..

[91]  R. B. Woodruff,et al.  Customer value: The next source for competitive advantage , 1997 .