Document Type : Original Article


1 Ph.D. Candidate in Business Management, Central Tehran Branch, Islamic Azad university, Tehran, Iran

2 Associate Professor, Department of Business Management, Central Tehran Branch, Islamic Azad university, Tehran, Iran

3 Assistant Professor, Department of Business Management, Central Tehran Branch, Islamic Azad university, Tehran, Iran


Purpose: The development of e-commerce and online shopping has given rise to emerging concepts of consumer behavior, including webrooming. Due to the novelty of the concept of webrooming in this study, an attempt has been made to provide a conceptual framework to explain this behavior and the factors affecting its formation.
Method: In this regard, a field survey study was conducted by distributing questionnairy among a sample consisting of 384 gold and jewelry customers in Tehran. The questionnaires consisting of 9 dimensions and 38 items were distributed among the members of the statistical sample after ensuring reliability and validity. Data analysis along with partial least squares technique and Smart PLS software were used.
Findings: According to the results, the benefits of online and offline channels have a significant impact on webrooming attitude; It was also discovered that attitude, perceived risk, anticipated regret, subjective norms and behavioral control have a significant impact on behavioral inclination and webrooming.
Conclusion: The results of goodness of fit showed that the proposed model in this research has a good validity and fit. Given that webrooming has a negative impact on online sales; the results help online retailers mitigate this phenomenon by targeting webrooming antecedents.


Abraham, C., & Sheeran, P. (2003). Acting on intentions: The role of anticipated regret. British Journal of social psychology, 42(4), 495-511.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Alhosseini Almodarresi, S., Bagheri Gara Bolagh, H., Dehghani Ghahnavyeh, A., Gholami, M., Radfar, S. (2018). The Effec of Consumers’ Perceptions on the Attitude Towards Organic Foods in the Yazd. Organizational Culture Management, 16(1), 195-217. doi: 10.22059/jomc.2018.132204.1006546 [in Persian]
Amani, H., Shams, H., Matlabi, M., Erfanpour, S., & Kamel, K. A. (2020). The Effect of Education Based on the Theory of Planned Behavior on Expression of Preventive Behaviors Concerned with Brucellosis in Farmers. Jms, 8(1), 24-35. [in Persian]
Arora, S., & Sahney, S. (2017). Webrooming behaviour: a conceptual framework. International Journal of Retail & Distribution Management.
Arora, S., & Sahney, S. (2019). Examining consumers’ webrooming behavior: an integrated approach. Marketing Intelligence & Planning.
Aw, E. C. X. (2019). Understanding the webrooming phenomenon: shopping motivation, channel-related benefits and costs. International Journal of Retail & Distribution Management.
Barati, F., Shamsi, M., Khorsandi, M., Ranjbaran, M. (2016) Measuring the Constructs of Planned Behavior Theory Regarding the Behaviors Preventing of Junk Food Consumption in Elementary Students in Arak in 2015. J Arak Uni Med Sci. 18 (11) :10-18. [in Persian]
Bhatti, A., & Rehman, S. U. (2020). Perceived benefits and perceived risks effect on online shopping behavior with the mediating role of consumer purchase intention in Pakistan. International Journal of Management Studies, 26(1), 33-54.
Boardman, R., & McCormick, H. (2018). Shopping channel preference and usage motivations: Exploring differences amongst a 50-year age span. Journal of Fashion Marketing and Management: An International Journal.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Flavián, C., Gurrea, R., & Orús, C. (2019). Feeling confident and smart with webrooming: understanding the consumer's path to satisfaction. Journal of Interactive Marketing, 47, 1-15.
Flavián, C., Gurrea, R., & Orus, C. (2020). Combining channels to make smart purchases: The role of webrooming and showrooming. Journal of Retailing and Consumer Services, 52, 101923.
González, E. M., Meyer, J. H., & Toldos, M. P. (2021). What women want? How contextual product displays influence women’s online shopping behavior. Journal of Business Research, 123, 625-641.
Herrero-Crespo, A., Viejo-Fernández, N., Collado-Agudo, J., & Pérez, M. J. S. (2021). Webrooming or showrooming, that is the question: explaining omnichannel behavioural intention through the technology acceptance model and exploratory behaviour. Journal of Fashion Marketing and Management: An International Journal.
Javadi, M. H. M., Dolatabadi, H. R., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. R. (2012). An analysis of factors affecting on online shopping behavior of consumers. International journal of marketing studies, 4(5), 81.
Kaviani, N., Tagharrobi, Z., Sharifi, K., & Sooki, Z. (2020). Development of Nurses’ Beliefs and Attitudes Towards Complementary and Alternative Medicine Questionnaire and its Psychometric Evaluation. cmja. 10 (1) :12-33. [in Persian]
Khoshtaria, T., Matin, A., Mercan, M., & Datuashvili, D. (2021). The impact of customers' purchasing patterns on their showrooming and webrooming behaviour: an empirical evidence from the Georgian retail sector. International Journal of Electronic Marketing and Retailing, 12(4), 394-413.
Kleinlercher, K., Linzmajer, M., Verhoef, P. C., & Rudolph, T. (2020). Antecedents of webrooming in omnichannel retailing. Frontiers in Psychology, 11, 3342.
Lim, Y. J., Osman, A., Salahuddin, S. N., Romle, A. R., & Abdullah, S. (2016). Factors influencing online shopping behavior: the mediating role of purchase intention. Procedia economics and finance, 35, 401-410.
Luo, H., Cheng, S., Zhou, W., Song, W., Yu, S., & Lin, X. (2021). Research on the Impact of Online Promotions on Consumers’ Impulsive Online Shopping Intentions. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2386-2404.
Maggioni, I., Sands, S. J., Ferraro, C. R., Pallant, J. I., Pallant, J. L., Shedd, L., & Tojib, D. (2020). Consumer cross-channel behaviour: is it always planned?. International Journal of Retail & Distribution Management.
Manss, R., Kurze, K., & Bornschein, R. (2019). What drives competitive webrooming? The roles of channel and retailer aspects. The International Review of Retail, Distribution and Consumer Research, 30(3), 233-265.
Mukherjee, S., & Chatterjee, S. (2021). Webrooming and showrooming: a multi-stage consumer decision process. Marketing Intelligence & Planning. 4(1), 87-96
Nair, B. U., & Govindaraman, H. (2020). Webrooming: A conceptual framework using push pull mooring method. Asian Journal of Research in Social Sciences and Humanities, 10(7), 17-28.
Norouzi, H., Darvish, F., & Shojae, A. (2020). Examining the effect of self-congruity on women purchase intention from luxury brands (Case study: Clothing Industry). Journal of Business Management, 12(46), 349-373. 20.1001.1.22520104.1399. [in Persian]
Orús, C., Gurrea, R., & Flavián, C. (2016). Webrooming or Showrooming? A Matter of Involvement. ACR North American Advances. 16(2), 127-136
Rodrigues, P., Brandão, A., & Rodrigues, C. (2018). The importance of self in brand love in consumer-luxury brand relationships. Journal of Customer Behaviour, 17(3), 189-210.
Shankar, A. (2021). How does convenience drive consumers' webrooming intention?. International Journal of Bank Marketing. 39(2), 312-336
Shankar, A., & Jain, S. (2021). Factors affecting luxury consumers’ webrooming intention: a moderated-mediation approach. Journal of Retailing and Consumer Services, 58, 102306.
Shankar, A., Yadav, R., Gupta, M., & Jebarajakirthy, C. (2021). How Does Online Engagement Drive Consumers' Webrooming Intention?: A Moderated-Mediation Approach. Journal of Global Information Management (JGIM), 29(6), 1-25.
Verhoef, P. C., Neslin, S. A., & Vroomen, B. (2007). Multichannel customer management: Understanding the research-shopper phenomenon. International journal of research in marketing, 24(2), 129-148.
Viejo-Fernández, N. (2021). Retailers, All Omni-Shoppers Are Not the Same. In Modern Management based on Big Data II and Machine Learning and Intelligent Systems III (pp. 3-15). IOS Press.
Viejo-Fernández, N., Sanzo-Pérez, M. J., & Vázquez-Casielles, R. (2019). Different kinds of research shoppers, different cognitive-affective consequences. Spanish Journal of Marketing-ESIC.
Wai, K., Dastane, O., Johari, Z., & Ismail, N. B. (2019). Perceived risk factors affecting consumers’ online shopping behaviour. The Journal of Asian Finance, Economics and Business, 6(4), 246-260.