Intentions to use social media in organizing and taking vacation trips

This work proposes a theoretical model to explain the factors determining the intentions to use social media when organizing and taking vacation trips. Understanding the antecedents of the tourists' use of these technologies is considered to be crucial for organization managers and destination policy makers. This use of social media technologies determines which elements of the trip might be used by the tourist thus having a great impact on the market. The model and its hypotheses have been tested by means of an approach based on structural equations with the PLS technique. The study was conducted on a sample of 404 individuals who normally use the Internet and had traveled on vacation in the previous 12months. The conclusions of the study reveal that the intentions to use social media are directly influenced by the perceived benefits of that use (functional, psychological and hedonic and social); however, the costs do not significantly affect the predisposition to use such technologies. It is also shown that there is a series of incentives such as altruism, availability, individual predisposition or trust in the contributions of others which facilitate and promote the use of this type of technology when organizing and taking tourist trips.

[1]  Esteve Espelt,et al.  Internet y movimientos sociales: un enfoque psicosocial , 2001 .

[2]  Torsten H. Nilson Value-Added Marketing: Marketing Management for Superior Results , 1992 .

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

[4]  Steve Edwards,et al.  From the Guest Editor , 2006 .

[5]  Albert Anghern Designing mature Internet business strategies: The ICDT model , 1997 .

[6]  David L. Mothersbaugh,et al.  Switching barriers and repurchase intentions in services , 2000 .

[7]  Daniel R. Fesenmaier,et al.  Coverage Error Embedded in Self-Selected Internet-Based Samples: A Case Study of Northern Indiana , 2004 .

[8]  K. Ruyter,et al.  Cooperating for service excellence in multi-channel service systems: an empirical assessment , 2004 .

[9]  M. Stone Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[10]  G. Hutton Net gain: Expanding markets through virtual communities , 1998 .

[11]  Abbas Rajabifard,et al.  Assessing the worldwide developments of national spatial data clearinghouses , 2004, Int. J. Geogr. Inf. Sci..

[12]  Richard G. Netemeyer,et al.  Measurement of Consumer Susceptibility to Interpersonal Influence , 1989 .

[13]  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..

[14]  D. Fesenmaier,et al.  Defining the virtual tourist community: implications for tourism marketing , 2002 .

[15]  Detmar W. Straub,et al.  The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption , 2000, J. Assoc. Inf. Syst..

[16]  William O. Bearden,et al.  Further Validation of the Consumer Susceptibility to Interpersonal Influence Scale , 1990 .

[17]  C. Batson,et al.  Four Motives for Community Involvement , 2002 .

[18]  Micael Dahlen,et al.  Learning the Web , 2002 .

[19]  Alessandro Acquisti,et al.  Information revelation and privacy in online social networks , 2005, WPES '05.

[20]  José Ignacio López Sánchez,et al.  El comercio electrónico en España: un análisis del proceso de compra de las empresas españolas , 2006 .

[21]  K. Reynolds,et al.  Customer benefits and company consequences of customer-salesperson relationships in retailing , 1999 .

[22]  Dwayne D. Gremler,et al.  Understanding Relationship Marketing Outcomes , 2002 .

[23]  J. Roldán,et al.  Information technology as a determinant of organizational learning and technological distinctive competencies , 2006 .

[24]  Gerald L. Lohse,et al.  Predictors of online buying behavior , 1999, CACM.

[25]  Michel Tenenhaus,et al.  PLS path modeling , 2005, Comput. Stat. Data Anal..

[26]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[27]  J. Edwards Multidimensional Constructs in Organizational Behavior Research: An Integrative Analytical Framework , 2001 .

[28]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

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

[30]  Kennon M. Sheldon,et al.  An Improved Way To Characterize Internet Users , 2002, Journal of Advertising Research.

[31]  H. Yen,et al.  Internet retail customer loyalty: the mediating role of relational benefits , 2003 .

[32]  M. Sigala Measuring customer value in online collaborative trip planning processes , 2010 .

[33]  Thomas R. Gruber,et al.  Collective knowledge systems: Where the Social Web meets the Semantic Web , 2008, J. Web Semant..

[34]  James L. Heskett,et al.  The Service Profit Chain: How Leading Companies Link Profit and Growth to Loyalty, Satisfaction, and Value (Цепочка создания прибыли в сфере услуг: как ведущие компании связывают прибыль и рост с лояльностью, удовлетворением и ценностью) , 2014 .

[35]  Elena Karahanna,et al.  Reconceptualizing Compatibility Beliefs , 2006 .

[36]  Wynne W. Chin,et al.  A critical look at partial least squares modeling , 2009 .

[37]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory: , 1982 .

[38]  B. Fisher Small Group Decision Making: Communication and the Group Process , 1980 .

[39]  Pantoleon Skayannis,et al.  Regional Development And The Information Society: How Greek Regions Measure Up In The Information Age? , 2008 .

[40]  Joseph Cothrel,et al.  On-line communities: helping them form and grow , 1999, J. Knowl. Manag..

[41]  Ingoo Han,et al.  The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement , 2007, Int. J. Electron. Commer..

[42]  S. Geisser A predictive approach to the random effect model , 1974 .

[43]  P. Kollock The Production of Trust in Online Markets , 1999 .

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

[45]  G. Soutar,et al.  Consumer perceived value: The development of a multiple item scale , 2001 .

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

[47]  Changfeng Chen,et al.  Identifying Significant Factors Influencing Consumer Trust in an Online Travel Site , 2006, J. Inf. Technol. Tour..

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

[49]  J. J. Cronin,et al.  Managing behavioral intentions in diverse cultural environments: an investigation of service quality, service value, and satisfaction for American and Ecuadorian fast-food customers , 2001 .

[50]  B. Lewis,et al.  The antecedents of consumer loyalty in retail banking , 2006 .

[51]  M. Sigala WEB 2.0, Social Marketing Strategies and Distribution Channels for City Destinations: Enhancing the Participatory Role of Travelers and Exploiting their Collective Intelligence , 2010 .

[52]  Angel Luis Meroño Cerdán,et al.  El correo electrónico en las Pymes para la comunicación y gestión del conocimiento , 2005 .

[53]  J. J. Cronin,et al.  Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments , 2000 .

[54]  R. Bagozzi Advanced Methods of Marketing Research , 1994 .

[55]  Samer Faraj,et al.  Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice , 2005, MIS Q..

[56]  Marko Čupić,et al.  Online communities – Designing Usability, Supporting Sociability , 2003 .

[57]  Minna Pura Linking perceived value and loyalty in location‐based mobile services , 2005 .

[58]  Jorgen P. Bansler,et al.  Corporate Intranet Implementation: Managing Emergent Technologies and Organizational Practices , 2000, J. Assoc. Inf. Syst..

[59]  M. Sigala E-service quality and Web 2.0: expanding quality models to include customer participation and inter-customer support , 2009 .

[60]  Yoo-shik Yoon,et al.  Investigating the relationships among perceived value, satisfaction, and recommendations: the case of the Korean DMZ. , 2007 .

[61]  J. Nunnally Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[62]  Thorsten Hennig-Thurau,et al.  The Rationales of Service Relationships: Integrating Company-oriented and Customer-oriented Relational Benefits , 2000 .

[63]  Charalambos L. Iacovou,et al.  Beyond user acceptance: The determinants of the intention to produce user created contents on the internet , 2009, ECIS.

[64]  Jenny Preece,et al.  Online Communities: Designing Usability and Supporting Sociability , 2000 .

[65]  Peter O'Connor,et al.  User-Generated Content and Travel: A Case Study on Tripadvisor.Com , 2008, ENTER.

[66]  Herman Wold,et al.  Model Construction and Evaluation When Theoretical Knowledge Is Scarce , 1980 .

[67]  Wynne W. Chin,et al.  Structural equation modeling analysis with small samples using partial least squares , 1999 .

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

[69]  G. Foxall,et al.  Positive vs. negative switching barriers: the influence of service consumers' need for variety , 2006 .

[70]  Stacey E. Bressler,et al.  Communities of Commerce: Building Internet Business Communities to Accelerate Growth, Minimize Risk, and Increase Customer Loyalty , 2000 .

[71]  Magid Igbaria,et al.  User acceptance of microcomputer technology: An empirical test , 1993 .

[72]  Younghwa Lee,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[73]  Hans Rask Jensen The Interrelationship Between Customer and Consumer Value , 1996 .

[74]  Carol Saunders,et al.  PLS: A Silver Bullet? , 2006 .

[75]  R. Hoyle Statistical Strategies for Small Sample Research , 1999 .

[76]  Claudia van Oppen,et al.  USING PLS PATH MODELING FOR ASSESSING HIERARCHICAL CONSTRUCT MODELS : GUIDELINES AND EMPIRICAL , 2022 .

[77]  Young-Gul Kim,et al.  Identifying key factors affecting consumer purchase behavior in an online shopping context , 2003 .

[78]  Hua Jiang,et al.  Virtual Travel Communities: Self-Reported Experiences and Satisfaction , 2007, ENTER.

[79]  Mary Jo Bitner,et al.  Relational benefits in services industries: The customer’s perspective , 1998 .

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

[81]  P. Andersen Relationship marketing and brand involvement of professionals through web-enhanced brand communities: the case of Coloplast , 2005 .

[82]  Tung Lai Lai,et al.  Service Quality and Perceived Value's Impact on Satisfaction, Intention and Usage of Short Message Service (SMS) , 2004 .

[83]  Mercedes Marzo-Navarro,et al.  The benefits of relationship marketing for the consumer and for the fashion retailers , 2004 .

[84]  Paul G. Patterson,et al.  Relationship benefits in service industries: a replication in a Southeast Asian context , 2001 .

[85]  R. Goldsmith,et al.  Measuring Motivations for Online Opinion Seeking , 2006 .

[86]  A. Parasuraman,et al.  The impact of technology on the quality-value-loyalty chain: A research agenda , 2000 .

[87]  J. Walther Computer-Mediated Communication , 1996 .

[88]  Gerald L. Lohse,et al.  On site: to opt-in or opt-out?: it depends on the question , 2001, CACM.

[89]  Marianna Sigala,et al.  EXPLORING THE TRANSFORMATION OF TOURISM FIRMS' OPERATIONS AND BUSINESS MODELS THROUGH THE USE OF WEB MAP SERVICES , 2009 .

[90]  Kyung Hyan Yoo,et al.  The Influence of Perceived Credibility on Preferences for Recommender Systems as Sources of Advice , 2008, J. Inf. Technol. Tour..

[91]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

[92]  Subhasish Dasgupta,et al.  User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model , 2002 .

[93]  Jungwoo Lee,et al.  Measures of perceived end-user computing skills , 2003, Inf. Manag..

[94]  D. Fesenmaier,et al.  Modeling Participation in an Online Travel Community , 2004 .

[95]  P. Patterson,et al.  A cross-cultural study of switching barriers and propensity to stay with service providers , 2003 .