Impacts of online word-of-mouth and personalities on intention to choose a destination

Abstract Electronic word of mouth (eWOM), enabled by social media, has been widely recognized as an influential marketing tool. It has been suggested that personality influences how people accept information originating in eWOM, but most research has not connected personalities with behavioral intention or information use. This study aimed to assess the link between eWOM and personalities on intention to choose a tourism destination. The research model was developed from the Big Five personality model and the information adoption model (IAM). An analysis of 647 participants in Vietnam confirmed that IAM can predict behavioral intention for tourism destinations, thereby adding to the literature, which so far has mainly utilized the technology adoption model. The result also shows that personality (specifically the traits of agreeableness, extraversion, and imagination) affects information adoption regarding tourism destinations. However, the impact of personality on behavioral intention could only be partly explained by IAM, suggesting that other variables play a role. The findings suggest avenues for future research linking personality and eWOM, as well as ways for companies to improve their customer targeting and advertising content that can be involved in eWOM.

[1]  Rui Chen,et al.  Living a private life in public social networks: An exploration of member self-disclosure , 2013, Decis. Support Syst..

[2]  Eric W.T. Ngai,et al.  Conceptualising electronic word of mouth activity: An input‐process‐output perspective , 2011 .

[3]  E. Pantano,et al.  Social network for the choice of tourist destination: attitude and behavioural intention. , 2012 .

[4]  J. H. Steiger Structural Model Evaluation and Modification: An Interval Estimation Approach. , 1990, Multivariate behavioral research.

[5]  Tracy L. Tuten,et al.  Understanding differences in web usage: The role of need for cognition and the five factor model of personality. , 2001 .

[6]  Wee-Kheng Tan,et al.  Does personality predict tourism information search and feedback behaviour? , 2013 .

[7]  Ainsworth Bailey,et al.  Consumer Awareness and Use of Product Review Websites , 2005 .

[8]  Fred Bronner,et al.  Consumer-Generated versus marketer-generated websites in consumer decision making , 2010 .

[9]  D. Jani Big five personality factors and travel curiosity: are they related? , 2014 .

[10]  J. Arndt Role of Product-Related Conversations in the Diffusion of a New Product , 1967 .

[11]  James C. McElroy,et al.  The influence of personality on Facebook usage, wall postings, and regret , 2012, Comput. Hum. Behav..

[12]  Chunling Yu,et al.  Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework , 2012 .

[13]  P. A. Dabholkar Factors Influencing Consumer Choice of a "Rating Web Site": An Experimental Investigation of an Online Interactive Decision Aid , 2006 .

[14]  Nikunj Kumar Jain,et al.  Compulsive smartphone usage and users' ill-being among young Indians: Does personality matter? , 2018, Telematics Informatics.

[15]  F. Patrizi,et al.  The “sustainable tourist”: Values, attitudes, and personality traits , 2015 .

[16]  Peter Ohler,et al.  Quid pro quo in Web 2.0. Connecting personality traits and Facebook usage intensity to uncivil commenting intentions in public online discussions , 2018, Comput. Hum. Behav..

[17]  O. Kvasova,et al.  The Big Five personality traits as antecedents of eco-friendly tourist behavior , 2015 .

[18]  Peter A. Rosen,et al.  The Impact of the Big Five Personality Traits on the Acceptance of Social Networking Website , 2008, AMCIS.

[19]  James C. McElroy,et al.  Dispositional Factors in Internet Use: Personality Versus Cognitive Style , 2007, MIS Q..

[20]  Abubakar Mohammed Abubakar Does eWOM influence destination trust and travel intention: a medical tourism perspective , 2016 .

[21]  Catalin Ioan Maican,et al.  A study on academic staff personality and technology acceptance: The case of communication and collaboration applications , 2019, Comput. Educ..

[22]  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..

[23]  J. M. Digman PERSONALITY STRUCTURE: EMERGENCE OF THE FIVE-FACTOR MODEL , 1990 .

[24]  John Raacke,et al.  MySpace and Facebook: Applying the Uses and Gratifications Theory to Exploring Friend-Networking Sites , 2008, Cyberpsychology Behav. Soc. Netw..

[25]  Murray R. Barrick,et al.  Personality and Performance at the Beginning of the New Millennium: What Do We Know and Where Do We Go Next? , 2001 .

[26]  Shu-Chuan Chu,et al.  Electronic Word-of-Mouth in Social Networking Sites: A Cross-Cultural Study of the United States and China , 2011 .

[27]  Jacquelyn A. Burkell,et al.  Believe it or not: Factors influencing credibility on the Web , 2002, J. Assoc. Inf. Sci. Technol..

[28]  Mohammad Reza Jalilvand,et al.  The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TBP) , 2012, Internet Res..

[29]  Stephanie Watts,et al.  Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption , 2003, Inf. Syst. Res..

[30]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[31]  James E. Bartlett,et al.  Organizational research: Determining appropriate sample size in survey research , 2001 .

[32]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[33]  Erik Brynjolfsson,et al.  Frictionless Commerce? A Comparison of Internet and Conventional Retailers , 2000 .

[34]  Johannes Knoll Advertising in social media: a review of empirical evidence , 2016 .

[35]  June Ahn Digital Divides and Social Network Sites: Which Students Participate in Social Media? , 2011 .

[36]  Daniel Gatica-Perez,et al.  Mining large-scale smartphone data for personality studies , 2013, Personal and Ubiquitous Computing.

[37]  Anastasios A. Economides,et al.  Computer based assessment: Gender differences in perceptions and acceptance , 2011, Comput. Hum. Behav..

[38]  Eun-Ju Lee,et al.  When do consumers buy online product reviews? Effects of review quality, product type, and reviewer's photo , 2014, Comput. Hum. Behav..

[39]  A. Mattila,et al.  Effects of Gender and Expertise on Consumers’ Motivation to Read Online Hotel Reviews , 2011 .

[40]  P. Benckendorff,et al.  Exploring Word-of-Mouth Influences on Travel Decisions: Friends and Relatives vs. Other Travellers , 2007 .

[41]  Tracii Ryan,et al.  Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage , 2011, Comput. Hum. Behav..

[42]  Marilyn S. Wesner,et al.  Boomers and Millennials Have Much in Common , 2008 .

[43]  Tará Burnthorne Lopez,et al.  Do Word Of Mouth And Advertising Messages On Social Networks Influence The Purchasing Behavior Of College Students , 2011 .

[44]  Samar Mouakket,et al.  The role of personality traits in motivating users' continuance intention towards Facebook: Gender differences , 2017 .

[45]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[46]  M. Prensky Digital Natives, Digital Immigrants Part 1 , 2001 .

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

[48]  Carlos Flavián,et al.  Antecedents and Consequences of Consumer Participation in On-Line Communities: The Case of the Travel Sector , 2010, Int. J. Electron. Commer..

[49]  Michael R. Mullen,et al.  Structural equation modelling: guidelines for determining model fit , 2008 .

[50]  Ioanna D. Constantiou,et al.  Exploring perceptions and use of mobile services: user differences in an advancing market , 2006, Int. J. Mob. Commun..

[51]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[52]  Jannica Heinström,et al.  Fast surfing, broad scanning and deep diving: The influence of personality and study approach on students' information-seeking behavior , 2005, J. Documentation.

[53]  Noel Scott,et al.  Influence of Social Media on Chinese Students’ Choice of an Overseas Study Destination: An Information Adoption Model Perspective , 2014 .

[54]  S. Hofmann,et al.  Why Do People Use Facebook? , 2012, Personality and individual differences.

[55]  Rong-An Shang,et al.  The effects of perceived relevance of travel blogs' content on the behavioral intention to visit a tourist destination , 2014, Comput. Hum. Behav..

[56]  Teresa Correa,et al.  Who interacts on the Web?: The intersection of users' personality and social media use , 2010, Comput. Hum. Behav..

[57]  G. Prendergast,et al.  Online word of mouth and consumer purchase intentions , 2010 .

[58]  Xenophon Koufteros,et al.  Confirmatory Analysis of Computer Self-Efficacy , 2003 .

[59]  Ruth N. Bolton,et al.  Understanding Generation Y and their use of social media: a review and research agenda , 2013 .

[60]  Matthew K. O. Lee,et al.  The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities , 2008, Internet Res..

[61]  Richard C. Feiock,et al.  Dealing with Missing Data: A Comparative Exploration of Approaches Using the Integrated City Sustainability Database , 2019 .

[62]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

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

[64]  D. Fesenmaier,et al.  Information technology and consumer behavior in travel and tourism: insights from travel planning using the internet. , 2015 .

[65]  Allen M. Weiss,et al.  Listening to Strangers: Whose Responses are Valuable, how Valuable are They, and Why? , 2008 .

[66]  Ali Heidari,et al.  Comparing face-to-face and electronic word-of-mouth in destination image formation: The case of Iran , 2017, Inf. Technol. People.

[67]  Zhaoping Yang,et al.  A study of e-commerce adoption by tourism websites in China , 2016 .

[68]  Sue Bennett,et al.  The 'digital natives' debate: A critical review of the evidence , 2008, Br. J. Educ. Technol..

[69]  S. West,et al.  Model fit and model selection in structural equation modeling. , 2012 .

[70]  Richard E. Lucas,et al.  The mini-IPIP scales: tiny-yet-effective measures of the Big Five factors of personality. , 2006, Psychological assessment.

[71]  Naeimeh Elkhani,et al.  The Effects of Perceived Organizational Support and Personality Traits on User Involvement , 2013, ACIS.

[72]  Hosam Al-Samarraie,et al.  The impact of personality traits on users' information-seeking behavior , 2017, Inf. Process. Manag..

[73]  Joar Vittersø,et al.  Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model , 2013, Behav. Inf. Technol..

[74]  S. Jang,et al.  Restaurant experiences triggering positive electronic word-of-mouth (eWOM) motivations. , 2011 .

[75]  James B. Schreiber,et al.  Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review , 2006 .

[76]  Jonathon N. Cummings,et al.  Internet Paradox Revisited , 2002 .

[77]  E. Thorson,et al.  The Effects of Progressive Levels of Interactivity and Vividness in Web Marketing Sites , 2001 .

[78]  D. Fesenmaier,et al.  Representation of the Online Tourism Domain in Search Engines , 2008 .

[79]  Kevin K. W. Ho,et al.  Value co-creation and purchase intention in social network sites: The role of electronic Word-of-Mouth and trust - A theoretical analysis , 2014, Comput. Hum. Behav..

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

[81]  Chrysanthos Dellarocas,et al.  The Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback Mechanisms , 2003, Manag. Sci..

[82]  Y. Hwang,et al.  Big Five Factors of Personality and Tourists' Internet Search Behavior , 2014 .

[83]  Shu-Chuan Chu,et al.  Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites , 2011 .

[84]  Juulia Räikkönen,et al.  Does satisfaction with package tours lead to successful vacation experiences , 2013 .

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

[86]  K. Nor,et al.  Factors Affecting Malaysian young consumers’ online purchase intention in social media websites , 2012 .

[87]  Dongyoung Sohn,et al.  Coping with information in social media: The effects of network structure and knowledge on perception of information value , 2014, Comput. Hum. Behav..

[88]  Dora Agapito,et al.  Exploring the conceptualization of the sensory dimension of tourist experiences , 2013 .

[89]  Craig Ross,et al.  Personality and motivations associated with Facebook use , 2009, Comput. Hum. Behav..

[90]  Volkan Özbek,et al.  The Impact of Personality on Technology Acceptance: A Study on Smart Phone Users , 2014 .

[91]  Dong-Mo Koo,et al.  Evaluating right versus just evaluating online consumer reviews , 2015, Comput. Hum. Behav..

[92]  Chorng-Shyong Ong,et al.  Understanding Information Systems Continuance Intention: A Five-Factor Model of Personality Perspective , 2010, PACIS.

[93]  James G. Phillips,et al.  Personality and self reported mobile phone use , 2008, Comput. Hum. Behav..

[94]  Richard N. Landers,et al.  An investigation of Big Five and narrow personality traits in relation to Internet usage , 2006, Comput. Hum. Behav..

[95]  Huaping Chen,et al.  Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations , 2009, Int. J. Electron. Commer..

[96]  Chris Evans,et al.  The influence of eWOM in social media on consumers' purchase intentions: An extended approach to information adoption , 2016, Comput. Hum. Behav..

[97]  Victoria D. Bush,et al.  What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature , 2014 .

[98]  Robin L. Nabi,et al.  The Persuasive Effect of Host and Audience Reaction Shots in Television Talk Shows , 2003 .

[99]  Tim Mazzarol,et al.  Factors influencing word of mouth effectiveness: receiver perspectives , 2008 .

[100]  U. Gretzel,et al.  Role of social media in online travel information search , 2010 .

[101]  Julia Wolny,et al.  Analysis of fashion consumers’ motives to engage in electronic word-of-mouth communication through social media platforms , 2013 .

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

[103]  Patricia M. Sias,et al.  Personality and Information Seeking , 2005 .

[104]  R. Law,et al.  A Review of Personality Research in the Tourism and Hospitality Context , 2010 .

[105]  Robert F. Easley,et al.  Research Note - How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use , 2008, Inf. Syst. Res..