An FsQCA Investigation of eWOM and Social Influence on Product Adoption Intention

Abstract Following the causal complexity theory, fsQCA has emerged as an advanced methodology in examining hypotheses and creating new theories in social science. However, fsQCA falls short dealing with structural associations and with latent variables when multi-faceted scales are combined into a single indicator by mean. To extend the application of fsQCA, the study demonstrates an approach to investigate a multi-layered problem of eWOM, social influence, and product adoption intention. The findings from fsQCA successfully confirmed the results from the statistical approach that eWOM and social influence have structural associations with customer adoption intentions of new high-tech products.

[1]  Mikyoung Kim.  Determinants of Young Consumers’ Attitude toward Mobile Advertising: The Role of Regulatory Focus , 2020 .

[2]  Bahtiar Mohamad,et al.  Do Firm-Created Contents on Social Media Enhance Brand Equity and Consumer Response Among Consumers of Automotive Brands? , 2020, Journal of Promotion Management.

[3]  H. Gonçalves,et al.  Multichannel consumer behaviors in the mobile environment: Using fsQCA and discriminant analysis to understand webrooming motivations , 2019, Journal of Business Research.

[4]  M. Phung,et al.  The effect of authenticity perceptions and brand equity on brand choice intention , 2019, Journal of Business Research.

[5]  Namhyun Um,et al.  Antecedents and Consequences of Consumers' Attitude toward Social Commerce Sites , 2019 .

[6]  A. Arora,et al.  Ten Years of ‘Social Media Marketing’ Research in the Journal of Promotion Management: Research Synthesis, Emerging Themes, and New Directions , 2019 .

[7]  A. S. Ananda,et al.  What makes fashion consumers “click”? Generation of eWoM engagement in social media , 2019, Asia Pacific Journal of Marketing and Logistics.

[8]  Jonghak Sun,et al.  Role of gender differences on individuals’ responses to electronic word-of-mouth in social interactions , 2019, Applied Economics.

[9]  Dhruv Grewal,et al.  Detecting, Preventing, and Mitigating Online Firestorms in Brand Communities , 2019, Journal of Marketing.

[10]  Hongmei Zhang,et al.  Comparing fsQCA with PLS-SEM: predicting intended car use by national park tourists , 2019, Tourism Geographies.

[11]  Ismail Erkan,et al.  Social media or shopping websites? The influence of eWOM on consumers’ online purchase intentions , 2018 .

[12]  Gobinda Roy,et al.  Role of electronic word-of-mouth content and valence in influencing online purchase behavior , 2018, Journal of Marketing Communications.

[13]  Soojung Kim,et al.  Do you want me to watch this ad on social media?: The effects of norms on online video ad watching , 2017 .

[14]  Wenhua Liu,et al.  Understanding relationships among customer experience, engagement, and word-of-mouth intention on online brand communities: The perspective of service ecosystem , 2017, Internet Res..

[15]  Laurence Dessart.  Social media engagement: a model of antecedents and relational outcomes , 2017 .

[16]  Kun-Huang Huarng,et al.  Qualitative analysis with structural associations , 2016 .

[17]  Charlie C. Chen,et al.  What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination , 2016, Telematics Informatics.

[18]  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..

[19]  J. Paniagua,et al.  Do Financial Crises Moderate Entrepreneurial Recipes? A Comparative Fuzzy Analysis , 2016 .

[20]  Branka Krivokapic-Skoko,et al.  From Crisp to Fuzzy-Sets QCA in Exploring Causal Configurations: Examples from the New Zealand Context , 2016 .

[21]  Lingli Wang,et al.  E-WOM from e-commerce websites and social media: Which will consumers adopt? , 2016, Electron. Commer. Res. Appl..

[22]  Christopher P. Barlett.  Anonymously hurting others online: The effect of anonymity on cyberbullying frequency. , 2015 .

[23]  K. King,et al.  The Effects of Interpersonal Tie Strength and Subjective Norms on Consumers' Brand-Related eWOM Referral Intentions , 2015 .

[24]  Marija Ham,et al.  The role of subjective norms in forming the intention to purchase green food , 2015 .

[25]  Charalampos Saridakis,et al.  Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis , 2014 .

[26]  Arch G. Woodside,et al.  Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations , 2014 .

[27]  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..

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

[29]  Julian K. Ayeh,et al.  “Do We Believe in TripAdvisor?” Examining Credibility Perceptions and Online Travelers’ Attitude toward Using User-Generated Content , 2013 .

[30]  Dimple R. Thadani,et al.  The impact of electronic word-of-mouth communication: A literature analysis and integrative model , 2012, Decis. Support Syst..

[31]  Jerry M. Mendel,et al.  Charles Ragin's Fuzzy Set Qualitative Comparative Analysis (fsQCA) used for linguistic summarizations , 2012, Inf. Sci..

[32]  Tom M.Y. Lin,et al.  The effects of visual information in eWOM communication , 2012 .

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

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

[35]  Jason Q. Zhang,et al.  When does electronic word-of-mouth matter? A study of consumer product reviews☆ , 2010 .

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

[37]  Songpol Kulviwat,et al.  The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption , 2009 .

[38]  Hiroaki Morio,et al.  How anonymous are you online? Examining online social behaviors from a cross-cultural perspective , 2008, AI & SOCIETY.

[39]  H. Raghav Rao,et al.  Role of word of mouth in online store loyalty , 2008, CACM.

[40]  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..

[41]  N. Lee,et al.  Word of mouth communication within online communities: Conceptualizing the online social network , 2007 .

[42]  Kar Yan Tam,et al.  Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services , 2006, Inf. Syst. Res..

[43]  Jen-Hung Huang,et al.  Herding in online product choice , 2006 .

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

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

[46]  Charles C. Ragin,et al.  Fuzzy-Set Social Science , 2001 .

[47]  G. Gigerenzer.  From Tools to Theories: A Heuristic of Discovery in Cognitive Psychology. , 1991 .

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

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

[50]  Ewa Maslowska,et al.  "Understanding a fury in your words": The effects of posting and viewing electronic negative word-of-mouth on purchase behaviors , 2016, Comput. Hum. Behav..