E-satisfaction and continuance intention: The moderator role of online ratings

Abstract Given the growing importance of SNSs (social networking sites) in the online decision-making process, the authors present a new applied theory of motivation. Drawing from gratification theory, this study develops a causality model that links online informative motivation (OIM), e-satisfaction, and online ratings to guarantee the online customer’s continuance intention. Although the partial least squares (PLS) findings extracted from a representative sample of 313 hotel customers confirm substantial positive linkages among the above constructs within this causality model, fuzzy set/qualitative comparative analysis (fsQCA) results take it one step further by reinforcing and refining the existing findings in the contexts of high and low levels of online ratings. Accordingly, implications for theory and practice, as well as research limitations and directions for future research are also discussed.

[1]  Thomas F. Stafford,et al.  Determining Uses and Gratifications for the Internet , 2004, Decis. Sci..

[2]  Naeimeh Elkhani,et al.  Examining a hybrid model for e-satisfaction and e-loyalty to e-ticketing on airline websites , 2014 .

[3]  Xiaohui Chen,et al.  Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model , 2017, Comput. Hum. Behav..

[4]  Raffaele Filieri.  What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM , 2015 .

[5]  Xun Xu,et al.  The antecedents of customer satisfaction and dissatisfaction toward various types of hotels: A text mining approach , 2016 .

[6]  Chulmo Koo,et al.  A structural model for destination travel intention as a media exposure: Belief-desire-intention model perspective , 2016 .

[7]  Sunghyup Sean Hyun,et al.  A model of behavioral intentions to follow online travel advice based on social and emotional loneliness scales in the context of online travel communities: The moderating role of emotional expressivity , 2015 .

[8]  Dan J. Kim,et al.  Effects of assurance mechanisms and consumer concerns on online purchase decisions: An empirical study , 2016, Decis. Support Syst..

[9]  Ajay Aluri,et al.  The effectiveness of embedded social media on hotel websites and the importance of social interactions and return on engagement. , 2015 .

[10]  E. Mao,et al.  From Online Motivations to Ad Clicks and to Behavioral Intentions: An Empirical Study of Consumer Response to Social Media Advertising , 2016 .

[11]  Angella J. Kim,et al.  Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand , 2012 .

[12]  Michael Y. Hu,et al.  Social media: Influencing customer satisfaction in B2B sales , 2016 .

[13]  Raffaele Filieri.  What makes an online consumer review trustworthy , 2016 .

[14]  Maik Hammerschmidt,et al.  The service quality-satisfaction link revisited: exploring asymmetries and dynamics , 2010 .

[15]  Chris Choi,et al.  Understanding service quality in a virtual travel community environment , 2013 .

[16]  C. Hung.  Online positioning through website service quality: A case of star-rated hotels in Taiwan , 2017 .

[17]  Princely Ifinedo,et al.  Applying uses and gratifications theory and social influence processes to understand students' pervasive adoption of social networking sites: Perspectives from the Americas , 2016, Int. J. Inf. Manag..

[18]  Robert W. Palmatier.  Improving publishing success at JAMS: contribution and positioning , 2016 .

[19]  T. Tran.  Organisational management in the age of social networking sites , 2016, Int. J. Netw. Virtual Organisations.

[20]  Cheng-Feng Cheng,et al.  Configural paths to successful product innovation , 2013 .

[21]  Thorsten Teichert,et al.  Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews , 2017 .

[22]  Kai H. Lim,et al.  Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms , 2014, MIS Q..

[23]  Rita Walczuch,et al.  Psychological antecedents of institution-based consumer trust in e-retailing , 2004, Inf. Manag..

[24]  Pearl M.C. Lin,et al.  Exploring customer experience with budget hotels: Dimensionality and satisfaction , 2016 .

[25]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[26]  Karen L. Xie,et al.  The business value of online consumer reviews and management response to hotel performance. , 2014 .

[27]  C. Flavián,et al.  Do online hotel rating schemes influence booking behaviors , 2015 .

[28]  Jyun-Cheng Wang,et al.  Social interaction and continuance intention in online auctions: A social capital perspective , 2009, Decis. Support Syst..

[29]  Zhenshan Yang,et al.  Performance of Chinese hotel segment markets: Efficiencies measure based on both endogenous and exogenous factors , 2017, Journal of Hospitality and Tourism Management.

[30]  Ö. Tütüncü.  Investigating the accessibility factors affecting hotel satisfaction of people with physical disabilities , 2017 .

[31]  Rui Chen,et al.  Why do users continue using social networking sites? An exploratory study of members in the United States and Taiwan , 2013, Inf. Manag..

[32]  Jörg Henseler,et al.  Handbook of Partial Least Squares: Concepts, Methods and Applications , 2010 .

[33]  Cheng-Feng Cheng,et al.  How balance theory explains high-tech professionals' solutions of enhancing job satisfaction , 2014 .

[34]  Zili Zhang,et al.  The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior , 2016 .

[35]  C. Muralidharan,et al.  Modelling and Investigating the relationship of after sales service quality with customer satisfaction, retention and loyalty – A case study of home appliances business , 2016 .

[36]  Y. Ekinci,et al.  Brand equity, brand loyalty and consumer satisfaction , 2011 .

[37]  S. Dibb,et al.  Consumer trust in the online retail context: Exploring the antecedents and consequences , 2010 .

[38]  Maryam Ghasemaghaei,et al.  Online information quality and consumer satisfaction: The moderating roles of contextual factors - A meta-analysis , 2015, Inf. Manag..

[39]  Ivan Ka Wai Lai,et al.  Sources of satisfaction with luxury hotels for new, repeat, and frequent travelers: A PLS impact-asymmetry analysis , 2017 .

[40]  Ling Peng,et al.  The signaling effect of management response in engaging customers: A study of the hotel industry , 2017 .

[41]  Chih-Lun Yen,et al.  International Journal of Hospitality Management Hotel Attribute Performance, Ewom Motivations, and Media Choice , 2022 .

[42]  Andrew J. Rohm,et al.  Social Media and Value Creation: The Role of Interaction Satisfaction and Interaction Immersion , 2016 .

[43]  S. Moghavvemi,et al.  Dental tourism: Examining tourist profiles, motivation and satisfaction , 2017 .

[44]  Gonzalo Díaz.  The influence of satisfaction on customer retention in mobile phone market , 2017 .

[45]  Fedric Kujur,et al.  Engaging customers through online participation in social networking sites , 2017 .

[46]  Stuart J. Barnes,et al.  Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation , 2017 .

[47]  M. Sambasivan,et al.  Integration of standardization and customization: Impact on service quality, customer satisfaction, and loyalty , 2017 .

[48]  Aihua Tseng,et al.  Why do online tourists need sellers' ratings? Exploration of the factors affecting regretful tourist e-satisfaction , 2017 .

[49]  Tuck Siong Chung,et al.  Preference instability, consumption and online rating behavior , 2016 .

[50]  Ahmed A. El-Masry,et al.  Why Do Consumers Trust Online Travel Websites? Drivers and Outcomes of Consumer Trust toward Online Travel Websites , 2017 .

[51]  A. Hayes.  An Index and Test of Linear Moderated Mediation , 2015, Multivariate behavioral research.