Iranian Journal of Information Processing and Management

Iranian Journal of Information Processing and Management

The Role of Electronic Word-of-Mouth Information Quality and Credibility in Shaping Purchase Intention: The Mediating Effects of Information Usefulness and Adoption

Document Type : Original Article

Authors
1 Associate Professor, Faculty of Management, Kharazmi University, Tehran
2 MSc. Department of Business Management, Faculty of Management, University of kharazmi, Tehran ,Iran
Abstract
The remarkable growth of social media platforms has led to the expansion of novel marketing tools such as electronic word-of-mouth (eWOM), which plays a significant role in shaping consumer decision-making and purchase behavior. Increasing competition, along with rapid and extensive access to information and recommendations has elevated the importance of information quality and credibility. This study investigates the qualitative components and credibility of eWOM information as well as user characteristics in forming online purchase intention. The theoretical framework is developed based on variables including quality, credibility, and attractiveness of information (as message features), and users’ need and attitude toward information (as individual traits). The target population comprises Iranian users interested in online shopping with the main objective being to elucidate the process of eWOM information acceptance and its effect on purchase intention, while identifying key influencing factors.


The present study is a descriptive
survey in nature and employs a quantitative approach. The statistical population consisted of 390 active online shoppers, selected through nonprobability sampling. Data was collected via a standardized Likert-scale questionnaire, and instrument validity was assessed using reliability tests (Cronbach’s alpha, composite reliability, AVE). Structural Equation Modeling (SEM) and Smart PLS software were used to analyze the data. Model fit indices including GOF, Q2, R2, and path coefficients were calculated to test the hypotheses. In addition to confirmatory factor analysis, mediating variables such as perceived usefulness and information adoption in the relationships between independent variables and purchase intention were examined. All relationships and effects among variables were statistically interpreted.
​Results reveal that the quality and credibility of eWOM information, coupled with a positive user attitude towards information, significantly enhance purchase intention. While message attractiveness does not directly influence perceived usefulness, qualitative factors and credibility of information lead to greater perceived usefulness and information adoption. Furthermore, the more users perceive the information as useful and acceptable, the greater its impact on purchase intention. The findings underscore the prominent mediating role of specific variables in the process of forming purchase intention. Final analysis demonstrates that users rely more on valid experiences and recommendations from other users for purchasing decisions, and that positive, credible reviews reinforce brand image and purchase trust.
​The study provides evidence that the quality and credibility of eWOM information play a fundamental role in enhancing the impact of promotional messages on social networks, thereby influencing consumer online purchase intention. SEM analysis indicates that perceived usefulness and information adoption act as mediators, facilitating the transmission of eWOM message features to purchase intention, while the direct effect of message attractiveness on perceived usefulness is not significant. This suggests that cognitive aspects outweigh purely visual or linguistic appeal in guiding consumer behavior. The study emphasizes the necessity for brands to invest in generating high-quality, credible, and useful content on social platforms and demonstrates that valid user reviews and recommendations can foster greater trust, loyalty, and ultimately improve purchase rates. Consequently, marketers should design strategies to enhance the credibility and value of delivered information for more impactful consumer decision-making. By presenting a context-driven and updated model in online consumer behavior, this study also sets the groundwork for future research on emotional and cultural dimensions of information acceptance.
Keywords
Subjects

فهرست منابع
سیدعباس زاده، میرمحمد، امانی ساری بگلو، جواد، هیمن خضری آذر، پاشوی، قاسم . 1391. مقدمه ای بر مدل‌یابی معادلات ساختاری به روش PLS و کاربرد آن در علوم رفتاری. ارومیه: انتشارات دانشگاه ارومیه.
 
Abbaszadeh, M. S., J. Amani Saribeglu, H. Khazri Azar & G. Pashavi, G. 2012. An introduction to structural equation modeling using PLS and its application in behavioral sciences.  Urmia: Urmia University Press. [In Persian]
Aghakhani, N., O. Oh, D. Gregg & H. Jain. 2022. How review quality and source credibility interacts to affect review usefulness: an expansion of the elaboration likelihood model. Information Systems Frontiers 25 (4): 1513-1531.
 Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50 (2): 179-211.
Baber, A., R. Thurasamy, M. I. Malik, B. Sadiq, S. Islam, & M. Sajjad. (2016. Online word-of-mouth antecedents, attitude and intention-to-purchase electronic products in Pakistan. Telematics and Informatics 33 (2): 388-400.
Bagozzi, R. P., F. D. Davis & P. R. Warshaw. 1992. Development and test of a theory of technological learning and usage. Human relations 45 (7): 659-686.
Bailey, J. E., & S. W. Pearson. 1983. Development of a tool for measuring and analyzing computer user satisfaction. Management science 29 (5): 530-545.
Baird, C., & G. Parasnis. 2011. From social media to social customer relationship management. Strategy & leadership 39 (5),: 30-37.
 Barreda, A. A., A. Bilgihan, K. Nusair, & F. Okumus. 2015. Generating brand awareness in online social networks. Computers in human behavior 50: 600-609.
Beyari, H., & H. Garamoun. 2024. The impact of online word of mouth (e-WOM) on End-user purchasing intentions: A study on e-WOM channels’ effects on the Saudi hospitality market. Sustainability 16 (8): 3163.
Bhattacherjee, A., & G. Premkumar. 2004. Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS quarterly 28 (2): 229-254.
Bogdan, A., N. Dospinescu, & O. Dospinescu. 2025. Beyond Credibility: Understanding the Mediators Between Electronic Word-of-Mouth and Purchase Intention. arXiv preprint arXiv:2504.05359.
Brown, J., A. J. Broderick, & N. Lee. 2007. Word of mouth communication within online communities: Conceptualizing the online social network. Journal of interactive marketing 21 (3): 2-20.
Carl, W. J., & C. M. Noland. 2008. The conversational geography of word-of-mouth communication and marketing practices. Communication Quarterly 56 (2): 184-207.
Chang, Y. T., H. Yu, & H. P. Lu. 2014. Persuasive messages, popularity cohesion, and message diffusion in social media marketing. Journal of Business Research 68 (4): 777-782.
Cheung, C. M., & D. R. Thadani. 2012. The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision support systems 54 (1): 461-470.
Cheung, C. M., M. K. Lee, & N. Rabjohn. 2008. The impact of electronic wordofmouth: The adoption of online opinions in online customer communities. Internet research 18 (3): 229-247.
Chu, S.-C., & Y. Kim. 2011. Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising 30 (1): 47–75.
Davis, F. D. 1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly 13 (3): 319-340.
Djamasbi, S., A. Fruhling, & E. Loiacono. (2009. The influence of affect, attitude and usefulness in the acceptance of telemedicine systems. Journal of Information Technology Theory and Application (JITTA) 10 (1): 4.
Erkan, I., & C. Evans. 2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in human behavior 61: 47-55.
Fabrigar, L. R., T. K. MacDonald, & D. T. Wegener. 2005. The structure of attitudes. The handbook of attitudes (pp. 79-124).
Fong, J., & S. Burton. 2006. Elecronic word-of-mouth: A comparison of stated and revealed behavior on electronic discussion boards. Journal of Interactive Advertising 6 (2): 7-62.
Frenzen, J., & K. Nakamoto. 1993. Structure, cooperation, and the flow of market information. Journal of consumer research 20 (3): 360-375.
Fu, J. R., P. H. Ju, & C. W. Hsu. 2015). Understanding why consumers engage in electronic word-of-mouth communication: Perspectives from theory of planned behavior and justice theory. Electronic Commerce Research and Applications 14 (6): 616-630.
Gelashvili, V., J. O. Martínez-Navalón, N. DeMatos, & M. de Brito Correia. 2024. Technological transformation: The importance of E-WOM and perceived privacy in the context of opinion platforms. Technological Forecasting and Social Change 205: 123472.
Gomes-Neves, E., A. Müller, A. Correia, S. Capas-Peneda, M. Carvalho, S. Vieira, & M. F. Cardoso. 2018. Food chain information: Data quality and usefulness in meat inspection in Portugal. Journal of Food Protection 81 (11): 1890-1896.
Hennig-Thurau, T., K. P. Gwinner, G. Walsh, & D. D. Gremler. 2004. Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet? Journal of interactive marketing 18 (1): 38-52.
Higie, R. A., L. F. Feick, & L. L. Price. 1987. Types and amount of word-of-mouth communications about retailers. Journal of retailing. 63 (3): 260-278
Huotari, K. 2025. Influence of culture on electronic word-of-mouth and consumer purchase intention. Master's thesis, Vaasa University of Applied Sciences. Osuva. 
Kalmus, V., A. Realo, & A. Siibak. 2011. Motives for Internet use and their relationships with personality traits and socio-demographic factors. Trames 15 (4): 385–403.
Kamal, A. F., & U. S. A. W. Handaru. 2025). The Influence of E-WOM, Social Media Marketing, Attractiveness, Destination Image, and Visit Intention on the Decision to Visit Gunung Gede-Pangrango National Park. Global Scientific and Academic Research Journal of Economics and Business Management 3 (7): ?.
 
Kim, S. T., S. H. Lee, & K. O. Lee. 2019. An Effect of Information System Quality of BRIS on Perceived Usefulness and User's Continuous Use Intention. Agribusiness and Information Management 11 (2): 16-24.
Knoll, J. 2015. Advertising in social media: a review of empirical evidence. International journal of Advertising 35 (2): 266-300.
Lam, D., & D. Mizerski. 2005. The effects of locus of control on wordofmouth communication. Journal of Marketing Communications 11 (3): 215-228.
Lee, E. J., & S. Y. Shin, 2014. When do consumers buy online product reviews? Effects of review quality, product type, and reviewer’s photo. Computers in human behavior 31: 356-366.
Lee, K. T., & D. M. Koo. 2015. Evaluating right versus just evaluating online consumer reviews. Computers in Human Behavior 45: 316-327.
Luo, C., Y. Wang, N. Wu, X. Liang, & Y. Guo. 2014. The Influence of eWOM and Editor Information on Information Usefulness in Virtual Community. In Proceedings of the 18th Pacific Asia Conference on Information Systems (PACIS 2014) (p. 82). Association for Information Systems
 
 Lutz, R. J. 1985. Affective and cognitive antecedents of attitude toward the ad: A conceptual framework. Psychological processes and advertising effects: 45-64. Lawrence Erlbaum Associates.
Maberah, S., A. Kan'an, N. El-Sayed, M. Alahmari, M. Abdelmabood, M. Kholif, ... & E. Alshehri. 2024. Students’ Attitudes and Perceived Usefulness of Artificial Intelligence (AI) Tools in Physical Education. International Journal of Information and Education Technology 15 (4): 767-781.
Machdar, N. M. 2016. The effect of information quality on perceived usefulness and perceived ease of use. Business and entrepreneurial review 15 (2): 131-146.
Mahmoud, A. B. 2012. The role of gender in Syrian consumers’ beliefs about and attitudes towards online advertising. European Journal of Economics, Finance and Administrative Sciences 47: 90-99.
 Majeed, A., S. Rahi, S. A. Sair, & A. H. Ngah. 2023). Influence of electronic word of mouth on purchase intention of mobile phones through information quality: empirical evidence from Pakistan. International Journal of Business Information Systems 43 (2): 164-185.
Manda, E. F., & R, Salim. 2021. Analysis of the influence of perceived usefulness, perceived ease of use and attitude toward using technology on actual to use Halodoc application using the technology acceptance model (TAM) method approach. International Research Journal of Advanced Engineering and Science 6 (1): 135-140.
McKnight, D. H., & C. J. Kacmar. 2006. Factors and effects of information credibility. In Proceedings of the ninth international conference on Electronic commerce (pp. 423-432).
Moisescu, O. I., O. A. Gică, F. A. Herle, I. Dan, & M. Sarstedt. 2025. Does One Size Fit All? The Role of Extraversion in Generating Electronic WordofMouth Through Social Media Brand Page Engagement. Psychology & Marketing 42 (2): 351-372.
Mun, I. B., & K. H. Hwang. 2024. Understanding ChatGPT continuous usage intention: The role of information quality, information usefulness, and source trust. Information Development 02666669241307595.
Muslichah, M. 2018. The effect of self-efficacy and information quality on behavioral intention with perceived usefulness as intervening variable. Journal of Accounting, Business and Management (JABM) 25 (1): 21-34.
Nabi, R. L., & A. Hendriks. 2003. The persuasive effect of host and audience reaction shots in television talk shows. Journal of Communication 53 (3): 527-543.
Naylor, R. W., C. P. Lamberton, P. M. & West. 2012. Beyond the “like” button: The impact of mere virtual presence on brand evaluations and purchase intentions in social media settings. Journal of marketing 76 (6): 105-120.
Park, D. H., J. Lee, & I. Han. 2007. The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International journal of electronic commerce 11 (4): 125-148.
Pratama, A. A. N., M. L. Hamidi, & E. Cahyono. 2023. The effect of halal brand awareness on purchase intention in indonesia: the mediating role of attitude. Cogent Business & Management 10 (1): 2168510.
Prendergast, G., D. Ko, & V. Y. Siu Yin. 2010). Online word of mouth and consumer purchase intentions. International journal of advertising 29 (5): 687-708.
Richins, M.L., & T. Root-Shaffer. 1988. The Role of Involvement and Opinion Leadership in Consumer Word-of-Mouth: An Implicit Model Made Explicit. Advances in Consumer Research 15: 32–36.
Salfiana, E., & Y. Masnita. 2025. Brand Engagement as a Mediator: Connecting Brand Familiarity, Self-identification and Positive Word of Mouth. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) 9 (1): 778-795.
See-To, E. W., & K. K. Ho. 2014. Value co-creation and purchase intention in social network sites: The role of electronic Word-of-Mouth and trust–A theoretical analysis. Computers in human behavior, 31,: 182-189.
She, J., T. Zhang, J. Zhang, Q. Chang, Q. Chen, W. Fan, & Y. Li. 2024. How do post content and poster characteristics affect the perceived usefulness of user-generated content? Electronic Commerce Research and Applications 65: 101395.
Shu, M., & N. Scott, 2014. Influence of social media on Chinese students’ choice of an overseas study destination: An information adoption model perspective. Journal of Travel & Tourism Marketing 31 (2): 286-302.
Slamet, F. A., & L. Yuliana. 2024. The Impact of Brand Hate and Negative E-WOM on Non Purchase Intention (Case Study on American Food). Journal of Applied Business Administration 8 (2): 311-323.
Sohn, D. 2014. Coping with information in social media: The effects of network structure and knowledge on perception of information value. Computers in Human Behavior 32: 145-151.
Steffes, E. M., & L. E. Burgee. 2009. Social ties and online word of mouth. Internet research, 19 (1): 42-59.
Sundaram, D. S., M. Kaushik & C. Webster. 1998. Word of mouth communications: a motivational analysis. Advances in Consumer Research 25: 527-532.
Sussman, S. W., & W. S. Siegal. 2003. Informational influence in organizations: An integrated approach to knowledge adoption. Information systems research 14 (1): 47-65.
Talamas, S. N., K. I. Mavor, & D. I. Perrett. 2016. Blinded by beauty: Attractiveness bias and accurate perceptions of academic performance. PloS one 11 (2): e0148284.
Tjongirin, R., M. Gianto, & S. Sihombing. 2020. Applying the information acceptance model to predict purchase intention in social media. Jurnal Manajemen dan Pemasaran Jasa 13 (2): 263-280.
Tran, V. D., & T. D. Nguyen. 2022. The impact of security, individuality, reputation, and consumer attitudes on purchase intention of online shopping: The evidence in Vietnam. Cogent Psychology 9 (1): 2035530.
 Vinzi, V., W. W. Chin, J. Henseler, & H. Wang. (Eds.). 2010. Handbook of partial least squares: Concepts, methods and applications. Berlin: Springer.
Wang, T., R. K. J. Yeh, C. Chen, & Z. Tsydypov. 2012. What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics 33 (4): 1034-1047.
Wathen, C. N., & J. Burkell. 2002. Believe it or not: Factors influencing credibility on the Web. Journal of the American society for information science and technology 53 (2): 134-144.
Willemsen, L. M., P. C. Neijens, F. Bronner, & J. A. De Ridder. 2011). “Highly recommended!” The content characteristics and perceived usefulness of online consumer reviews. Journal of Computer-Mediated Communication 17 (1): 19-38.
Williams, E. D. 2024). The eEvolution of Word-of-Mouth Marketing: More Relevant Today than Ever Through Influencer Marketing. Journal of Digital & Social Media Marketing 10 (1): 45-62.
 
Wiprayoga, P., S. Gede, & G. A.Suasana, 2023. The role of attitude toward using mediates the influence of perceived usefulness and perceived ease of use on behavioral intention to use. Russian Journal of Agricultural and Socio-Economic Sciences 140 (8): 53-68.
Wolny, J., & C. Mueller. 2013. Analysis of fashion consumers’ motives to engage in electronic word-of-mouth communication through social media platforms. Journal of marketing management 29 (5-6): 562-583.
Zare, R., M. M. Poursaeed, S. Azimizadeh, & K. Ghasemi. 2024. Toward a model of Electronic word-Of-mouth in Instagram social network site (case study of restaurant industry). Public Management Researches 17 (65): 259-280.
Zmuda, N. 2013. Pepsi beverage guru unveils his plan to win the world over. Retrieved from.  December 14, 2025, from http://adage.com/article/news/pepsi-beverage-guru-unveils-plan-win-world/228641 (accessed Dec. 14, 2025)

  • Receive Date 27 May 2025
  • Revise Date 17 October 2025
  • Accept Date 19 October 2025