The Impact of Advertising Values on Impulsive and Compulsive Buying

References

• Afkar News Official Website. 2019. Number of Instagram users in Iran and the world Instagram usage rate. https://www.afkarnews.com (accessed March 30, 2022).
   Google Scholar
• Ahmad, M. B., H. F. Ali, M. S. Malik, A. A. Humayun, and S. Ahmad. 2019. Factors affecting impulsive buying behavior with mediating role of positive mood: An empirical study. European Online Journal of Natural and Social Sciences 8 (1):17–35.
   Google Scholar
• Ahmadi, M. 2018. Research method (qualitative and quantitative methodology with thesis and article writing approach). Tehran: Cultural Research.
   Google Scholar
• Akram, U., P. Hui, M. K. Khan, S. K. Saduzai, Z. Akram, and M. H. Bhati. 2017. The plight of humanity: Online impulse shopping in China. Human Systems Management 36 (1):73–90. doi:10.3233/HSM-171768.
   Web of Science ®Google Scholar
• Ali, N. A., A. Tretiakov, and D. Whiddett. 2014. A content validity study for a knowledge management systems success model in healthcare. JITTA: Journal of Information Technology Theory and Application 15 (2):21. ‏
   Google Scholar
• Amos, C., G. R. Holmes, and W. C. Keneson. 2014. A meta-analysis of consumer impulse buying. Journal of Retailing and Consumer Services 21 (2):86–97.‏ doi:10.1016/j.jretconser.2013.11.004.
   Google Scholar
• Baker, J., K. Lovell, and N. Harris. 2006. How expert are the experts? An exploration of the concept of ‘expert’ within Delphi panel techniques. Nurse Researcher 14 (1):59–70.‏ doi:10.7748/nr2006.10.14.1.59.c6010.
   PubMedGoogle Scholar
• Barclay, D., C. Higgins, and R. Thompson. 1995. The Partial Least Squares (PLS) Approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies 2 (2):285–309.
   Google Scholar
• Barnes, S. J. 2002. The mobile commerce value chain: Analysis and future developments. International Journal of Information Management 22 (2):91–108. ‏ doi:10.1016/S0268-4012(01)00047-0.
   Web of Science ®Google Scholar
• Beatty, S. E., and M. E. Ferrell. 1998. Impulse buying: Modeling its precursors. Journal of Retailing 74 (2):169–191.‏ doi:10.1016/S0022-4359(99)80092-X.
   Web of Science ®Google Scholar
• Beta Research Center. 2022. Number of Persian language users in Telegram, Instagram and Twitter in 2021. http://beta-co.ir (accessed March 30, 2022).
   Google Scholar
• Bloch, P. H., N. M. Ridgway, and D. L. Sherrell. 1989. Extending the concept of shopping: An investigation of browsing activity. Journal of the Academy of Marketing Science 17 (1):13–21. ‏ doi:10.1007/BF02726349.
   Google Scholar
• Burke, R. R. 1997. Do you see what I see? The future of virtual shopping. Journal of the Academy of Marketing Science 25 (4):352–360. ‏ doi:10.1177/0092070397254007.
   Web of Science ®Google Scholar
• Chang, H. H., K. H. Wong, and T. W. Chu. 2018. Online advertorial attributions on customer responses: Materialism as a moderator. Online Information Review 42 (5):697–717. ‏ doi:10.1108/OIR-08-2016-0214.
   Web of Science ®Google Scholar
• Chin, W. W. 1998. The partial least squares approach to structural equation modeling. Modern Methods for Business Research 295 (2):295–336.
   Google Scholar
• Chin, W. W., B. L. Marcolin, and P. R. Newsted. 2003. A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research 14 (2):189–217. doi:10.1287/isre.14.2.189.16018.
   Web of Science ®Google Scholar
• Choi, S. M., and N. J. Rifon. 2002. Antecedents and consequences of web advertising credibility: A study of consumer response to banner ads. Journal of Interactive Advertising 3 (1):12–24. ‏ doi:10.1080/15252019.2002.10722064.
   Google Scholar
• Clark, L. A., and D. Watson. 1995. Constructing validity: Basic issues in objective scale development. Psychological Assessment 7 (3):309–319. doi:10.1037/1040-3590.7.3.309.
   Web of Science ®Google Scholar
• Darrat, A. A., M. A. Darrat, and D. Amyx. 2016. How impulse buying influences compulsive buying: The central role of customer anxiety and escapism. Journal of Retailing and Consumer Services 31:103–108. ‏ doi:10.1016/j.jretconser.2016.03.009.
   Web of Science ®Google Scholar
• Davenport, K., J. E. Houston, and M. D. Griffiths. 2012. Excessive eating and compulsive buying behaviors in women: An empirical pilot study examining reward sensitivity, anxiety, impulsivity, self-esteem, and social desirability. International Journal of Mental Health and Addiction 10 (4):474–489. ‏ doi:10.1007/s11469-011-9332-7.
   Web of Science ®Google Scholar
• Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (3):319–340. doi:10.2307/249008.
   Web of Science ®Google Scholar
• Davis, F. D., R. P. Bagozzi, and P. R. Warshaw. 1992. Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of Applied Social Psychology 22 (14):1111–1132. doi:10.1111/j.1559-1816.1992.tb00945.x.
   Web of Science ®Google Scholar
• Ducoffe, R. H. 1995. How consumers assess the value of advertising. Journal of Current Issues & Research in Advertising 17 (1):1–18. ‏ doi:10.1080/10641734.1995.10505022.
   Google Scholar
• Ducoffe, R. H. 1996. Advertising value and advertising on the web-Blog@ management. Journal of Advertising Research 36 (5):21–32. ‏
   Web of Science ®Google Scholar
• Etikan, I., R. Alkassim, and S. Abubakar. 2016. Comparison of snowball sampling and sequential sampling techniques. Biometrics and Biostatistics International Journal 3 (1):55.
   Google Scholar
• Faber, R. J., G. A. Christenson, M. De Zwaan, and J. Mitchell. 1995. Two forms of compulsive consumption: Comorbidity of compulsive buying and binge eating. Journal of Customer Research 22 (3):296–304. ‏
   Web of Science ®Google Scholar
• Faber, R. J., and T. C. O’guinn. 1992. A clinical screener for compulsive buying. Journal of Customer Research 19 (3):459–469.
   Web of Science ®Google Scholar
• Fang, J., B. George, Y. Shao, and C. Wen. 2016. Affective and cognitive factors influencing repeat buying in e-commerce. Electronic Commerce Research and Applications 19:44–55. ‏ doi:10.1016/j.elerap.2016.08.001.
   Web of Science ®Google Scholar
• Fang, Y. H. 2014. Beyond the credibility of electronic word of mouth: Exploring eWOM adoption on social networking sites from affective and curiosity perspectives. International Journal of Electronic Commerce 18 (3):67–102. ‏ doi:10.2753/JEC1086-4415180303.
   Web of Science ®Google Scholar
• Faqih, K. M., and M. I. R. M. Jaradat. 2015. Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services 22:37–52. doi:10.1016/j.jretconser.2014.09.006.
   Web of Science ®Google Scholar
• Fatima, T., and T. Abbas. 2016. Impact of advertising beliefs and personalization on attitude towards advertising; mediating role of advertising value. International Journal of Business Management and Commerce 1 (2):10–19. ‏
   Google Scholar
• Finzi-Dottan, R., and E. Zubery. 2009. The role of depression and anxiety in impulsive and obsessive-compulsive behaviors among anorexic and bulimic patients. Eating Disorders 17 (2):162–182. ‏
   PubMedGoogle Scholar
• Fishbein, M., and I. Ajzen. 1977. Belief, attitude, intention, and behavior: An introduction to theory and research.‏ Reading, MA: Addison-Wesley.
   Google Scholar
• Flight, R. L., M. M. Rountree, and S. E. Beatty. 2012. Feeling the urge: Affect in impulsive and compulsive buying. Journal of Marketing Theory and Practice 20 (4):453–466. doi:10.2753/MTP1069-6679200407.
   Google Scholar
• Floh, A., and M. Madlberger. 2013. The role of atmospheric cues in online impulse-buying behavior. Electronic Commerce Research and Applications 12 (6):425–439.‏ doi:10.1016/j.elerap.2013.06.001.
   Web of Science ®Google Scholar
• Fornell, C., and D. F. Larcker. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1):39–50. doi:10.1177/002224378101800104.
   Web of Science ®Google Scholar
• Gardner, M. P., and D. W. Rook. 1988. Effects of impulse purchases on customers’ affective states. ACR North American Advances 15:127–130.‏
   Google Scholar
• Godara, S. 2019. A study on the influence of website quality on online impulse buying behavior of Indian customers. Journal of the Gujarat Research Society 21 (10):1497–1511.
   Google Scholar
• Gold, A. H., A. Malhotra, and A. H. Segars. 2001. Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems 18 (1):185–214. doi:10.1080/07421222.2001.11045669.
   Web of Science ®Google Scholar
• Gyarmathy, V. A., L. G. Johnston, I. Caplinskiene, S. Caplinskas, and C. A. Latkin. 2014. A simulative comparison of respondent-driven sampling with incentivized snowball sampling–the “strudel effect”. Drug and Alcohol Dependence 135:71–77.
   PubMed Web of Science ®Google Scholar
• Habib, M. D., and A. Qayyum. 2017. Online impulsive buying behavior: A model and empirical investigation. Journal of Managerial Sciences 6 (3):145–166.
   Google Scholar
• Habib, M. D., and A. Qayyum. 2018. Cognitive emotion theory and emotion-action tendency in online impulsive buying behavior. Journal of Management Sciences 5 (1):86–99. doi:10.20547/jms.2014.1805105.
   Google Scholar
• Habiba, M. D., and A. Qayyum. 2017. A structural equation model of impulse buying behavior in online shopping. UW Journal of Management Sciences 1:1–14.
   Google Scholar
• Haenlein, M., and A. M. Kaplan. 2004. A beginner’s guide to partial least squares analysis. Understanding Statistics 3 (4):283–297. doi:10.1207/s15328031us0304_4.
   Google Scholar
• Haneem, F., N. Kama, N. Taskin, D. Pauleen, and N. A. A. Bakar. 2019. Determinants of master data management adoption by local government organizations: An empirical study. International Journal of Information Management 45:25–43. ‏ doi:10.1016/j.ijinfomgt.2018.10.007.
   Web of Science ®Google Scholar
• Hausman, A. 2000. A multi-method investigation of consumer motivations in impulse buying behavior. Journal of Consumer Marketing 17 (5):403–426. ‏ doi:10.1108/07363760010341045.
   Google Scholar
• He, H.,. M. Kukar-Kinney, and N. M. Ridgway. 2018. Compulsive buying in China: Measurement, prevalence, and online drivers. Journal of Business Research 91:28–39. ‏ doi:10.1016/j.jbusres.2018.05.023.
   Web of Science ®Google Scholar
• Henseler, J., C. M. Ringle, and M. Sarstedt. 2015. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science 43 (1):115–135. doi:10.1007/s11747-014-0403-8.
   Web of Science ®Google Scholar
• Hirschman, E. C. 1980. Innovativeness, novelty-seeking, and consumer creativity. Journal of Consumer Research 7 (3):283–295. ‏ doi:10.1086/208816.
   Web of Science ®Google Scholar
• Holbrook, M. B., and E. C. Hirschman. 1982. The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research 9 (2):132–140. ‏ doi:10.1086/208906.
   Web of Science ®Google Scholar
• Horváth, C., and F. Adıgüzel. 2018. Shopping enjoyment to the extreme: Hedonic shopping motivations and compulsive buying in developed and emerging markets. Journal of Business Research 86:300–310. ‏ doi:10.1016/j.jbusres.2017.07.013.
   Web of Science ®Google Scholar
• Hsu, L. C., K. Y. Wang, W. H. Chih, and K. Y. Lin. 2015. Investigating the ripple effect in virtual communities: An example of Facebook Fan Pages. Computers in Human Behavior 51:483–494. ‏ doi:10.1016/j.chb.2015.04.069.
   Web of Science ®Google Scholar
• Hulland, J. 1999. Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal 20 (2):195–204. ‏ doi:10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7.
   Web of Science ®Google Scholar
• Iran Cultural and Press Institute. 2017. 22 Ideas to make money from Instagram without capital. http://www.iran-newspaper.com (accessed March 30, 2022).
   Google Scholar
• Iran Economy Reference Website. 2018. Reflections on per capita reading and studying. https://www.eghtesadnews.com (accessed March 30, 2022).
   Google Scholar
• Isaac, O., A. Aldholay, Z. Abdullah, and T. Ramayah. 2019. Online learning usage within Yemeni higher education: The role of compatibility and task-technology fit as mediating variables in the IS success model. Computers & Education 136:113–129. doi:10.1016/j.compedu.2019.02.012.
   Web of Science ®Google Scholar
• Kamboj, S., B. Sarmah, S. Gupta, and Y. Dwivedi. 2018. Examining branding co-creation in brand communities on social media: Applying the paradigm of Stimulus-Organism-Response. International Journal of Information Management 39:169–185. doi:10.1016/j.ijinfomgt.2017.12.001.
   Web of Science ®Google Scholar
• Kang, B., T. Höllerer, and J. O’Donovan. 2015. Believe it or not? Analyzing information credibility in microblogs. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, August 25–28 (pp. 611–616).‏
   Google Scholar
• Kim, Y., D. Sohn, and S. M. Choi. 2011. Cultural difference in motivations for using social network sites: A comparative study of American and Korean college students. Computers in Human Behavior 27 (1):365–372. ‏ doi:10.1016/j.chb.2010.08.015.
   Web of Science ®Google Scholar
• Kim, Y. J., and J. Han. 2014. Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization. Computers in Human Behavior 33:256–69. ‏ doi:10.1016/j.chb.2014.01.015.
   Web of Science ®Google Scholar
• Kline, R. B. 2015. Principles and practice of structural equation modeling. New York, NY: Guilford publications.
   Google Scholar
• Koo, C., N. Chung, and K. Nam. 2015. Assessing the impact of intrinsic and extrinsic motivators on smart green IT device use: Reference group perspectives. International Journal of Information Management 35 (1):64–79. ‏ doi:10.1016/j.ijinfomgt.2014.10.001.
   Web of Science ®Google Scholar
• Kourouthanassis, P. E., and G. M. Giaglis. 2012. Introduction to the special issue mobile commerce: The past, present, and future of mobile commerce research. International Journal of Electronic Commerce 16 (4):5–18. doi:10.2753/JEC1086-4415160401.
   Web of Science ®Google Scholar
• Kühn, S. W., and D. J. Petzer. 2018. Fostering purchase intentions toward online retailer websites in an emerging market: An SOR perspective. Journal of Internet Commerce 17 (3):255–282. doi:10.1080/15332861.2018.1463799.
   Web of Science ®Google Scholar
• Kukar-Kinney, M., and A. G. Close. 2010. The determinants of customers’ online shopping cart abandonment. Journal of the Academy of Marketing Science 38 (2):240–250. ‏ doi:10.1007/s11747-009-0141-5.
   Web of Science ®Google Scholar
• Kukar-Kinney, M., A. C. Scheinbaum, and T. Schaefers. 2016. Compulsive buying in online daily deal settings: An investigation of motivations and contextual elements. Journal of Business Research 69 (2):691–699. ‏ doi:10.1016/j.jbusres.2015.08.021.
   Web of Science ®Google Scholar
• Lee, J., and I. B. Hong. 2016. Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity. International Journal of Information Management 36 (3):360–373. ‏ doi:10.1016/j.ijinfomgt.2016.01.001.
   Web of Science ®Google Scholar
• Lee, S. F., and Y. C. Tsai. 2006. An empirical examination of customer perceptions of mobile advertising. Information Resources Management Journal (IRMJ) 19 (4):39–55. ‏
   Google Scholar
• Lee, T., C. Park, and J. Jun. 2014. Two faces of mobile shopping: Self-efficacy and impulsivity. International Journal of E-Business Research (IJEBR) 10 (1):15–32.
   Google Scholar
• Lejoyeux, M., N. Haberman, J. Solomon, and J. Adès. 1999. Comparison of buying behavior in depressed patients presenting with or without compulsive buying. Comprehensive Psychiatry 40 (1):51–56. doi:10.1016/s0010-440x(99)90077-9.
   PubMed Web of Science ®Google Scholar
• Lejoyeux, M., M. Hourtané, and J. Adès. 1995. Compulsive buying and depression. The Journal of Clinical Psychiatry 56 (1):38.
   PubMed Web of Science ®Google Scholar
• Lejoyeux, M., V. Tassain, J. Solomon, and J. Adès. 1997. Study of compulsive buying in depressed patients. The Journal of Clinical Psychiatry 58 (4):169–173. doi:10.4088/JCP.v58n0406.
   PubMed Web of Science ®Google Scholar
• Li, R., and A. Suh. 2015. Factors influencing information credibility on social media platforms: Evidence from Facebook pages. Procedia Computer Science 72 (1):314–328. ‏ doi:10.1016/j.procs.2015.12.146.
   Google Scholar
• Liébana-Cabanillas, F., V. Marinković, and Z. Kalinić. 2017. An SEM-neural network approach for predicting antecedents of m-commerce acceptance. International Journal of Information Management 37 (2):14–24. doi:10.1016/j.ijinfomgt.2016.10.008.
   Web of Science ®Google Scholar
• Lin, J., B. Wang, N. Wang, and Y. Lu. 2014. Understanding the evolution of customer trust in mobile commerce: A longitudinal study. Information Technology and Management 15 (1):37–49. doi:10.1007/s10799-013-0172-y.
   Web of Science ®Google Scholar
• Lin, K. Y., and H. P. Lu. 2011. Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior 27 (3):1152–1161. doi:10.1016/j.chb.2010.12.009.
   Web of Science ®Google Scholar
• Lin, S. W., and L. Y. S. Lo. 2016. Evoking online consumer impulse buying through virtual layout schemes. Behaviour & Information Technology 35 (1):38–56. doi:10.1080/0144929X.2015.1056546.
   Web of Science ®Google Scholar
• Lucia-Palacios, L., R. Pérez-López, and Y. Polo-Redondo. 2016. Cognitive, affective and behavioral responses in-mall experience: A qualitative approach. International Journal of Retail & Distribution Management 44 (1):4–21. doi:10.1108/IJRDM-05-2014-0061.
   Web of Science ®Google Scholar
• Lutz, R. J., S. B. MacKenzie, and G. E. Belch. 1983. Attitude toward the ad as a mediator of advertising effectiveness: Determinants and consequences. ACR North American Advances 10:532–539.‏
   Google Scholar
• Martín-Consuegra, D., E. Díaz, M. Gómez, and A. Molina. 2019. Examining consumer luxury brand-related behavior intentions in a social media context: The moderating role of hedonic and utilitarian motivations. Physiology & Behavior 200:104–110. ‏ doi:10.1016/j.physbeh.2018.03.028.
   PubMed Web of Science ®Google Scholar
• Mehrabian, A., and J. A. Russell. 1974. An approach to environmental psychology. Cambridge, MA: The MIT Press.
   Google Scholar
• Mikalef, P., M. Giannakos, and A. Pateli. 2013. Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research 8 (1):5–34. ‏ doi:10.4067/S0718-18762013000100003.
   Google Scholar
• Minta, N. K., and O. Stephen. 2017. Importance-Performance Matrix Analysis (IPMA) of service quality and customer satisfaction in the Ghanaian Banking Industry. International Journal of Academic Research in Business and Social Sciences 7 (7):2222–6990. ‏ doi:10.6007/IJARBSS/v7-i7/3120.
   Google Scholar
• Mitchell, J. E., J. Redlin, S. Wonderlich, R. Crosby, R. Faber, R. Miltenberger, J. Smyth, M. Stickney, B. Gosnell, and M. Burgard. 2002. The relationship between compulsive buying and eating disorders. The International Journal of Eating Disorders 32 (1):107–111. ‏ doi:10.1002/eat.10053.
   PubMed Web of Science ®Google Scholar
• Moon, M. A., M. J. Khalid, H. M. Awan, S. Attiq, H. Rasool, and M. Kiran. 2017. Consumer’s perceptions of website’s utilitarian and hedonic attributes and online purchase intentions: A cognitive-affective attitude approach. Spanish Journal of Marketing - Esic 21 (2):73–88. doi:10.1016/j.sjme.2017.07.001.
   Google Scholar
• Na’ami, A., M. Mohammadipour, and B. Naghdi. 2017. Investigation of instant shopping behavior of customers in chain stores (the case study of Refah chain store). Business Management Quarterly 9 (34):119–138.
   Google Scholar
• Ninan, P. T., S. L. McElroy, C. P. Kane, B. T. Knight, L. S. Casuto, S. E. Rose, F. A. Marsteller, and C. B. Nemeroff. 2000. Placebo-controlled study of fluvoxamine in the treatment of patients with compulsive buying. Journal of Clinical Psychopharmacology 20 (3):362–366.
   PubMed Web of Science ®Google Scholar
• Ozer, L., and B. Gultekin. 2015. Pre-and post-purchase stage in impulse buying: The role of mood and satisfaction. Journal of Retailing and Consumer Services 22:71–6. ‏ doi:10.1016/j.jretconser.2014.10.004.
   Web of Science ®Google Scholar
• Pahlevan Sharif, S., and K. K. Yeoh. 2018. Excessive social networking sites use and online compulsive buying in young adults: The mediating role of money attitude. Young Consumers 19 (3):310–327. doi:10.1108/YC-10-2017-00743.
   Web of Science ®Google Scholar
• Parboteeah, D. V., J. S. Valacich, and J. D. Wells. 2009. The influence of website characteristics on a customer’s urge to buy impulsively. Information Systems Research 20 (1):60–78. ‏ doi:10.1287/isre.1070.0157.
   Web of Science ®Google Scholar
• Park, E. J., E. Y. Kim, V. M. Funches, and W. Foxx. 2012. Apparel product attributes to web browsing and e-impulse buying on shopping websites. Journal of Business Research 65 (11):1583–1589. ‏ doi:10.1016/j.jbusres.2011.02.043.
   Web of Science ®Google Scholar
• Peng, C., and Y. G. Kim. 2014. Application of the stimuli-organism-response (SOR) framework to online shopping behavior. Journal of Internet Commerce 13 (3–4):159–176. doi:10.1080/15332861.2014.944437.
   Google Scholar
• Punyatoya, P. 2019. Effects of cognitive and affective trust on online customer behavior. Marketing Intelligence & Planning 37 (1):80–96. doi:10.1108/MIP-02-2018-0058.
   Web of Science ®Google Scholar
• Rahimizade, H., A. Hadadian, and M. Esfahani. 2014. Investigating the factors affecting sudden shopping in mashhad chain stores (the case study of Prooma chain store). Modern Marketing Research 4 (4):71–84.
   Google Scholar
• Ramanathan, S., and G. Menon. 2006. Time-varying effects of chronic hedonic goals on impulsive behavior. Journal of Marketing Research 43 (4):628–641. ‏ doi:10.1509/jmkr.43.4.628.
   Web of Science ®Google Scholar
• Rezaei, S., F. Ali, M. Amin, and S. Jayashree. 2016. Online impulse buying of tourism products: The role of website personality, utilitarian and hedonic web browsing. Journal of Hospitality and Tourism Technology 7 (1):60–83. doi:10.1108/JHTT-03-2015-0018.
   Web of Science ®Google Scholar
• Riley, M., R. C. Wood, M. A. Clark, E. Wilkie, and E. Szivas. 2000. Researching and writing dissertations in business and management. London: Thomson Learning.
   Google Scholar
• Ringle, C. M., and M. Sarstedt. 2016. Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems 116 (9):1865–1886.
   Web of Science ®Google Scholar
• Rook, D. W. 1987. The buying impulse. Journal of Customer Research 14 (2):189–99. ‏
   Web of Science ®Google Scholar
• Sadler, G. R., H. C. Lee, R. S. H. Lim, and J. Fullerton. 2010. Recruitment of hard‐to‐reach population subgroups via adaptations of the snowball sampling strategy. Nursing & Health Sciences 12 (3):369–374.
   PubMed Web of Science ®Google Scholar
• Sarah, F. H., C. L. Goi, F. Chieng, and K. M. R. Taufique. 2021. Examining the influence of atmospheric cues on online impulse buying behavior across product categories: Insights from an emerging e-market. Journal of Internet Commerce 20 (1):25–45. doi:10.1080/15332861.2020.1836593.
   Web of Science ®Google Scholar
• Sarkar, D. ‏2018. Understanding of cognitive and affective state of the customer in the impulse buying process—The retailer’s perspective. 3rd Globsyn management conference business and sustainable development, Globsyn Business School, Kolkata (pp. 111–122).
   Google Scholar
• Setyani, V., Y. Q. Zhu, A. N. Hidayanto, P. I. Sandhyaduhita, and B. Hsiao. 2019. Exploring the psychological mechanisms from personalized advertisements to urge to buy impulsively on social media. International Journal of Information Management 48:96–107. ‏ doi:10.1016/j.ijinfomgt.2019.01.007.
   Web of Science ®Google Scholar
• Shafiei, A., and V. Mirabi. 2016. Investigating the factors affecting leisure shopping in Refah chain store in Tehran. Business Management Quarterly 8 (30):77–95.
   Google Scholar
• Shahjehan, A., J. A. Qureshi, F. Zeb, and K. Saifullah. 2012. The effect of personality on impulsive and compulsive buying behaviors. African Journal of Business Management 6 (6):2187. ‏
   Google Scholar
• Sharma, P., B. Sivakumaran, and R. Marshall. 2010. Impulse buying and variety seeking: A trait-correlates perspective. Journal of Business Research 63 (3):276–283. doi:10.1016/j.jbusres.2009.03.013.
   Web of Science ®Google Scholar
• Shultz, C. J., and A. Pecotich. 1997. Marketing and development in the transition economies of Southeast Asia: Policy explication, assessment, and implications. Journal of Public Policy & Marketing 16 (1):55–68.
   Google Scholar
• Smith, R. E., and X. Yang. 2004. Toward a general theory of creativity in advertising: Examining the role of divergence. Marketing Theory 4 (1–2):31–58. ‏ doi:10.1177/1470593104044086.
   Google Scholar
• Sofi, S. A., and S. A. Najar. 2018. Impact of personality influencers on psychological paradigms: An empirical-discourse of big five framework and impulsive buying behavior. European Research on Management and Business Economics 24 (2):71–81. ‏ doi:10.1016/j.iedeen.2017.12.002.
   Web of Science ®Google Scholar
• Sohrabi, R., A. Samadi, and A. Yousefifard. 2013. Design and test customers’ sudden purchase behavior. Business Management Explorations 6 (11):147–180.
   Google Scholar
• Statcounter GlobalStats Website. 2022. Social media stats Islamic republic of Iran Feb 2021–Feb 2022. https://gs.statcounter.com/social-media-stats/all/iran (accessed March 30, 2022)‏.
   Google Scholar
• Statista. 2022a. Number of internet users worldwide from 2005 to 2021 (in millions). https://www.statista.com/statistics/273018/number-of-internet-users-worldwide/ (accessed March 30, 2022).
   Google Scholar
• Statista. 2022b. Number of social network users worldwide from 2017 to 2025 (in billions). https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/ (accessed March 30, 2022).
   Google Scholar
• Statista. 2022c. Number of social network users worldwide in 2020, by region (in millions). https://www.statista.com/statistics/454772/number-social-media-user-worldwide-region/ (accessed March 30, 2022).
   Google Scholar
• Statista. 2022d. Most popular social networks worldwide as of January 2022, ranked by number of monthly active users (in millions). https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/ (accessed March 30, 2022).
   Google Scholar
• Stein, J. S., C. R. Renda, S. M. Barker, K. J. Liston, T. A. Shahan, and G. J. Madden. 2015. Impulsive choice predicts anxiety‐like behavior, but not alcohol or sucrose consumption, in male Long‐Evans rats. Alcoholism: Clinical and Experimental Research 39 (5):932–940. ‏ doi:10.1111/acer.12713.
   PubMed Web of Science ®Google Scholar
• Stern, H. 1962. The significance of impulse buying today. Journal of Marketing 26 (2):59–62. doi:10.1177/002224296202600212.
   Web of Science ®Google Scholar
• Tak, P., and M. Gupta. 2021. Examining travel mobile app attributes and its impact on consumer engagement: An application of SOR framework. Journal of Internet Commerce 20 (3):293–318. doi:10.1080/15332861.2021.1891517.
   Web of Science ®Google Scholar
• Tasnim News. 2022. The penetration rate of 71% of social networks in Iran / Iran is higher than the global average. https://www.tasnimnews.com/fa/news/1400/08/15/2602617 (accessed March 30, 2022).
   Google Scholar
• Teo, T. S., S. C. Srivastava, and L. Jiang. 2008. Trust and electronic government success: An empirical study. Journal of Management Information Systems 25 (3):99–132. doi:10.2753/MIS0742-1222250303.
   Web of Science ®Google Scholar
• To, P. L., C. Liao, and T. H. Lin. 2007. Shopping motivations on the internet: A study based on utilitarian and hedonic value. Technovation 27 (12):774–787. ‏ doi:10.1016/j.technovation.2007.01.001.
   Web of Science ®Google Scholar
• Tojib, D., and Y. Tsarenko. 2012. Post-adoption modeling of advanced mobile service use. Journal of Business Research 65 (7):922–928. ‏ doi:10.1016/j.jbusres.2011.05.006.
   Web of Science ®Google Scholar
• Torkestani, M., M. Zendemehr, and S. M. Afsahizade. 2018. Investigating the relationship between website quality and customer excitement with the urge to buy impulsive. Business Management Exploration 10 (19):1–7.
   Google Scholar
• Tsang, M. M., S. C. Ho, and T. P. Liang. 2004. Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce 8 (3):65–78. ‏ doi:10.1080/10864415.2004.11044301.
   Web of Science ®Google Scholar
• Turkyilmaz, C. A., S. Erdem, and A. Uslu. 2015. The effects of personality traits and website quality on online impulse buying. Procedia - Social and Behavioral Sciences 175:98–105. doi:10.1016/j.sbspro.2015.01.1179.
   Google Scholar
• Udell, J. G. 1964. A new approach to consumer motivation. Journal of Retailing 40 (4):6–10. ‏
   Web of Science ®Google Scholar
• Valence, G., A. d’Astous, and L. Fortier. 1988. Compulsive buying: Concept and measurement. Journal of Customer Policy 11 (4):419–433. ‏
   Google Scholar
• Van Herpen, E., R. Pieters, J. Fidrmucova, and P. Roosenboom. 2000. The information content of magazine advertising in market and transition economies. Journal of Consumer Policy 23 (3):257–283. ‏ doi:10.1023/A:1007138219753.
   Google Scholar
• Van-Tien Dao, W., Nhat Hanh Le, A. Cheng, J. M.-S., and D. Chao Chen. 2014. Social media advertising value: The case of transitional economies in Southeast Asia. International Journal of Advertising 33 (2):271–294. ‏ doi:10.2501/IJA-33-2-271-294.
   Web of Science ®Google Scholar
• Verhagen, T., and W. van Dolen. 2011. The influence of online store beliefs on customer online impulse buying: A model and empirical application. Information & Management 48 (8):320–327. ‏ doi:10.1016/j.im.2011.08.001.
   Web of Science ®Google Scholar
• Vogt, S., A. Hunger, R. Pietrowsky, and A. L. Gerlach. 2015. Impulsivity in customers with high compulsive buying propensity. Journal of Obsessive-Compulsive and Related Disorders 7:54–64. ‏ doi:10.1016/j.jocrd.2015.10.002.
   Web of Science ®Google Scholar
• Wang, Y. J., and S. Sun. 2010. Examining the role of beliefs and attitudes in online advertising: A comparison between the USA and Romania. International Marketing Review 27 (1):87–107. doi:10.1108/02651331011020410.
   Web of Science ®Google Scholar
• Weijters, B., D. Rangarajan, T. Falk, and N. Schillewaert. 2007. Determinants and outcomes of customers’ use of self-service technology in a retail setting. Journal of Service Research 10 (1):3–21. ‏ doi:10.1177/1094670507302990.
   Web of Science ®Google Scholar
• World Statistics Website. 2019. Available at https://www.statista.com.
   Google Scholar
• Wu, R., Z. Wu, J. Wen, Y. Cai, and Y. Li. 2019. Extrinsic and intrinsic motivations as predictors of bicycle sharing usage intention: An empirical study for Tianjin. Journal of Cleaner Production 225:451–458. doi:10.1016/j.jclepro.2019.04.016.
   Web of Science ®Google Scholar
• Yang, K. C. 2007. Exploring factors affecting consumer intention to use mobile advertising in Taiwan. Journal of International Consumer Marketing 20 (1):33–49. ‏ doi:10.1300/J046v20n01_04.
   Google Scholar
• Yeo, V. C. S., S. K. Goh, and S. Rezaei. 2017. Consumer experiences, attitude, and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services 35:150–162. doi:10.1016/j.jretconser.2016.12.013.
   Web of Science ®Google Scholar
• Yeung, H. W. C. (Ed.). 2007. Handbook of research on Asian business. Cheltenham: Edward Elgar Publishing.‏
   Google Scholar
• Yi, S. 2013. Heterogeneity of compulsive buyers based on impulsivity and compulsivity dimensions: A latent profile analytic approach. Psychiatry Research 208 (2):174–182.
   PubMed Web of Science ®Google Scholar
• Young Journalist Club. 2018. https://www.yjc.ir/fa/news.
   Google Scholar
• Zha, X., J. Li, and Y. Yan. 2015. Advertising value and credibility transfer: Attitude towards web advertising and online information acquisition. Behaviour & Information Technology 34 (5):520–532. doi:10.1080/0144929X.2014.978380.
   Web of Science ®Google Scholar
• Zhang, J., and E. Mao. 2008. Understanding the acceptance of mobile SMS advertising among young Chinese consumers. Psychology and Marketing 25 (8):787–805. ‏ doi:10.1002/mar.20239.
   Web of Science ®Google Scholar
• Zheng, X., J. Men, F. Yang, and X. Gong. 2019. Understanding impulse buying in mobile commerce: An investigation into hedonic and utilitarian browsing. International Journal of Information Management 48:151–160. ‏ doi:10.1016/j.ijinfomgt.2019.02.010.
   Web of Science ®Google Scholar
• Zheng, Y., X. Yang, Q. Liu, X. Chu, Q. Huang, and Z. Zhou. 2020. Perceived stress and online compulsive buying among women: A moderated mediation model. Computers in Human Behavior 103:13–20. ‏ doi:10.1016/j.chb.2019.09.012.
   Web of Science ®Google Scholar
• Zung, W. W. 1971. A rating instrument for anxiety disorders. Psychosomatics 12 (6):371–379. doi:10.1016/S0033-3182(71)71479-0.
   PubMed Web of Science ®Google Scholar