Diversified Online Review Websites as Accelerators for Online Impulsive Buying: The Moderating Effect of Price Dispersion

References

• Adams, M., A. Grotzinger, B. Jermy, J. Thorp, M. Nivard, E. Byrne, I. Hickie, N. Martin, S. Medland, N. Wray, et al. 2019. Genomic structural equation models of major depression symptoms. European Neuropsychopharmacology. 29 :S135. doi:10.1016/j.euroneuro.2019.08.042.
   Web of Science ®Google Scholar
• Alalwan, A. A., A. M. Baabdullah, N. P. Rana, K. Tamilmani, and Y. K. Dwivedi. 2018. Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment. Technology in Society 55 :100–110. doi:10.1016/j.techsoc.2018.06.007.
   Web of Science ®Google Scholar
• Backman, S., and M. Rhinard. 2018. The European Union’s capacities for managing crises. Journal of Contingencies and Crisis Management 26 (2):261–271. doi:10.1111/1468-5973.12190.
   Web of Science ®Google Scholar
• Bassiouni, D. H., C. Hackley, and H. Meshreki. 2019. The integration of video games in family-life dynamics an adapted technology acceptance model of family intention to consume video games. Information Technology & People 32 (6):1376–1396. doi:10.1108/IJRDM-12-2018-0280.
   Web of Science ®Google Scholar
• Bellini, S., and S. Aiolfi. 2019. Impulse buying behavior: The mobile revolution int. International Journal of Retail & Distribution Management 48 (1):1–17. doi:10.1108/IJRDM-12-2018-0280.
   Web of Science ®Google Scholar
• Biswas, A., S. Dutta, and C. Pullig. 2006. Low price guarantees as signals of lowest price: The moderating role of perceived price dispersion. Journal of Retailing 82 (3):245–257. doi:10.1016/j.jretai.2005.07.007.
   Web of Science ®Google Scholar
• Boholm, A. 2019. Lessons of success and failure: Practicing risk communication at government agencies. Safety Science 118:158–167. doi:10.1016/j.ssci.2019.05.025.
   Web of Science ®Google Scholar
• Boutsouki, C. 2019. Impulse behavior in economic crisis: A data driven market segmentation. International Journal of Retail & Distribution Management 47 (9):974–996. doi:10.1108/IJRDM-08-2018-0165.
   Web of Science ®Google Scholar
• Chan, T. K. H., C. M. K. Cheung, and Z. W. Y. Lee. 2017. The state of online impulse-buying research: A literature analysis. Information & Management 54 (2):204–217. doi:10.1016/j.im.2016.06.001.
   Web of Science ®Google Scholar
• Changchit, C., and T. Klaus. 2020. Determinants and impact of online reviews on. Journal of Internet Commerce 19 (1):82–102. doi:10.1080/15332861.2019.1672135.
   Web of Science ®Google Scholar
• Chen, C. D., E. C. S. Ku, and C. C. Yeh. 2019. Increasing rates of impulsive online shopping on tourism websites. Internet Research 29 (4):900–920. doi:10.1108/INTR-03-2017-0102.
   Web of Science ®Google Scholar
• Cornish, L. S. 2020. Why did i buy this? Consumers’ post-impulse-consumption experience and its impact on the propensity for future impulse buying. Journal of Consumer Behaviour 19 :36–46. doi:10.1002/cb.1792.
   Web of Science ®Google Scholar
• Davydenko, M., and J. Peetz. 2020. Shopping less with shopping lists: Planning individual expenses ahead of time affects purchasing behavior when online grocery shopping. Journal of Consumer Behaviour 19 (3):240–251. doi:10.1002/cb.1812.
   Web of Science ®Google Scholar
• Dekimpe, M. G., I. Geyskens, and K. Gielens. 2020. Using technology to bring online convenience to offline shopping. Marketing Letters 31 (1):25–29. doi:10.1007/s11002-019-09508-5.
   Web of Science ®Google Scholar
• Estrella-Ramon, A., and F. Ellis-Chadwick. 2017. Do different kinds of user-generated content in online brand communities really work. Online Information Review 41 (7):954–968. doi:10.1108/OIR-08-2016-0229.
   Web of Science ®Google Scholar
• Flavian, C., R. Gurrea, and C. Orus. 2016. Choice confidence in the webrooming purchase process: The impact of online positive reviews and the motivation to touch. Journal of Consumer Behaviour 15 (5):459–476. doi:10.1002/cb.1585.
   Web of Science ®Google Scholar
• Friedrich, T., S. Schlauderer, and S. Overhage. 2019. The impact of social commerce feature richness on website stickiness through cognitive and affective factors. Electronic Commerce Research and Applications 36 :100861. doi:10.1016/j.elerap.2019.100861.
   Web of Science ®Google Scholar
• Ganon-Shilon, S., and C. Schechter. 2019. Shared sense-making processes within a national reform implementation: Principals’ voices. Leadership and Policy in Schools. doi:10.1080/15700763.2019.1696370.
   Web of Science ®Google Scholar
• Gorodnichenko, Y., V. Sheremirov, and O. Talavera. 2018. Price setting in online markets: Does it click? Journal of the European Economic Association 16 (6):1764–1811. doi:10.1093/jeea/jvx050.
   Web of Science ®Google Scholar
• Hashmi, H. B., C. L. Shu, and S. W. Haider. 2020. Moderating effect of hedonism on store environment-impulse buying nexus. International Journal of Retail & Distribution Management 48 (5):465–483. doi:10.1108/ijrdm-09-2019-0312.
   Web of Science ®Google Scholar
• He, J. X., X. Wang, M. B. Vandenbosch, and B. R. Nault. 2020. Revealed preference in online reviews: Purchase verification in the tablet market. Decision Support Systems 132 :10. doi:10.1016/j.dss.2020.113281.
   Web of Science ®Google Scholar
• Horning, M. A. 2017. Interacting with news: Exploring the effects of modality and perceived responsiveness and control on news source credibility and enjoyment among second screen viewers. Computers in Human Behavior 73 :273–283. doi:10.1016/j.chb.2017.03.023.
   Web of Science ®Google Scholar
• Hsu, C. L., J. C.‐C. Lin, and H. S. Chiang. 2013. The effects of blogger recommendations on customers’ online shopping intentions. Internet Research 23 (1):69–88. doi:10.1108/10662241311295782.
   Web of Science ®Google Scholar
• Hu, X., X. Chen, and R. M. Davison. 2019. Social support, source credibility, social influence, and impulsive purchase behavior in social commerce. International Journal of Electronic Commerce 23 (3):297–327. doi:10.1080/10864415.2019.1619905.
   Web of Science ®Google Scholar
• Iliffe, L. L., and A. R. Thompson. 2019. Investigating the beneficial experiences of online peer support for those affected by alopecia: An interpretative phenomenological analysis using online interviews. The British Journal of Dermatology 181 (5):992–998. doi:10.1111/bjd.17998.
   PubMed Web of Science ®Google Scholar
• Iyer, G. R., M. Blut, S. H. Xiao, and D. Grewal. 2020. Impulse buying: A meta-analytic review. Journal of the Academy of Marketing Science 48 (3):384–404. doi:10.1007/s11747-019-00670-w.
   Web of Science ®Google Scholar
• Jiang, Z. H., and I. Benbasat. 2007. Investigating the influence of the functional mechanisms of online product presentations. Information Systems Research 18 (4):454–470. doi:10.1287/isre.1070.0124.
   Web of Science ®Google Scholar
• Johnson, S. G. B. 2019. Toward a cognitive science of markets: Economic agents as sense-makers. Economics 13 :29. doi:10.5018/economics-ejournal.ja.2019-49.
   Google Scholar
• Kang, T. C., S. Y. Hung, and A. H. Huang. 2020. The adoption of online product information: Cognitive and affective evaluations. Journal of Internet Commerce 19 (4):373–403. doi:10.1080/15332861.2020.1816315.
   Web of Science ®Google Scholar
• Kaya, B., E. Behravesh, A. M. Abubakar, O. S. Kaya, and C. Orus. 2019. The moderating role of website familiarity in the relationships between e-service quality, e-satisfaction and e-loyalty. Journal of Internet Commerce 18 (4):369–394. doi:10.1080/15332861.2019.1668658.
   Web of Science ®Google Scholar
• Klein, A., and V. M. Sharma. 2018. German millennials’ decision-making styles and their intention to participate in online group buying. Journal of Internet Commerce 17 (4):383–417. doi:10.1080/15332861.2018.1463804.
   Web of Science ®Google Scholar
• Kocas, C., K. Pauwels, and J. D. Bohlmann. 2018. Pricing best sellers and traffic generators: The role of asymmetric cross-selling. Journal of Interactive Marketing 41:28–43. doi:10.1016/j.intmar.2017.09.001.
   Web of Science ®Google Scholar
• Kokkodis, M., and T. Lappas. 2020. Your hometown matters: Popularity-difference bias in online reputation platforms. Information Systems Research. 31 (2):412–430. doi:10.1287/isre.2019.0895.
   Web of Science ®Google Scholar
• Ku, E. C. S., and C. D. Chen. 2020. Flying on the clouds: How mobile applications enhance impulsive buying of low cost carriers. Service Business 14 (1):23–45. doi:10.1007/s11628-019-00407-3.
   Web of Science ®Google Scholar
• Kuan, K. K. Y., K. L. Hui, P. Prasarnphanich, and H. Y. Lai. 2015. What makes a review voted? An empirical investigation of review voting in online review systems. Journal of the Association for Information Systems 16 (1):48–71. doi:10.17705/1jais.00386.
   Web of Science ®Google Scholar
• Lee, J.-S., L. T. Hsu, H. Han, and Y. Kim. 2010. Understanding how consumers view green hotels: How a hotel's green image can influence behavioural intentions. Journal of Sustainable Tourism 18 (7):901–914. doi:10.1080/09669581003777747.
   Web of Science ®Google Scholar
• Lewis, S. H., C. Sanderson, A. Gupta, and C. Klein. 2020. “Maybe it’s kind of normal to hear voices”: The role of spirituality in making sense of voice hearing. Journal of Spirituality in Mental Health 22 (1):49–64. doi:10.1080/19349637.2018.1520183.
   Web of Science ®Google Scholar
• Li, H. Y., F. Meng, M. Y. Jeong, and Z. L. Zhang. 2020. To follow others or be yourself? Social influence in online restaurant reviews. International Journal of Contemporary Hospitality Management 32 (3):1067–87. doi:10.1108/IJCHM-03-2019-0263.
   Web of Science ®Google Scholar
• Li, H. Y., C. Wang, F. Meng, and Z. L. Zhang. 2019a. Making restaurant reviews useful and/or enjoyable? The impacts of temporal, explanatory, and sensory cues. International Journal of Hospitality Management 83 :257–265. doi:10.1016/j.ijhm.2018.11.002.
   Web of Science ®Google Scholar
• Li, J., R. R. Yang, J. J. Cui, and Y. Y. Guo. 2019b. Imagination matters when you shop online: The moderating role of mental simulation between materialism and online impulsive buying. Psychology Research and Behavior Management 12 :1071–1079. doi:10.2147/prbm.S227403.
   PubMed Web of Science ®Google Scholar
• Lim, K. H., C. L. Sia, M. K. Lee, and I. Benbasat. 2006. Do I trust you online, and if so, will I buy? An empirical study of two trust-building strategies. Journal of Management Information Systems 23 (2):233–266. doi:10.2753/MIS0742-1222230210.
   Web of Science ®Google Scholar
• Martinez-Lopez, F. J., Y. C. Li, H. M. Liu, and C. Y. Feng. 2020. Do safe buy buttons and integrated path-to-purchase on social platforms improve users’ shopping-related responses? Electronic Commerce Research and Applications 39 :100913. doi:10.1016/j.elerap.2019.
   Web of Science ®Google Scholar
• McNeish, D. 2020. Should we use F-tests for model fit instead of Chi-square in overidentified structural equation models? Organizational Research Methods 23 (3):487–510. doi:10.1177/1094428118809495.
   Web of Science ®Google Scholar
• Molinillo, S., R. Anaya-Sanchez, and F. Liebana-Cabanillas. 2020. Analyzing the effect of social support and community factors on customer engagement and its impact on loyalty behaviors toward social commerce websites. Computers in Human Behavior 108 :105980. doi:10.1016/j.chb.2019.04.004.
   Web of Science ®Google Scholar
• Mumuni, A. G., K. O’Reilly, A. MacMillan, S. Cowley, and B. Kelley. 2020. Online product review impact: The relative effects of review credibility and Review Relevance. Journal of Internet Commerce 19 (2):153–191. doi:10.1080/15332861.2019.1700740.
   Web of Science ®Google Scholar
• Nagar, K. 2016. Drivers of E-store patronage intentions: Choice overload, internet shopping anxiety, and impulse purchase tendency. Journal of Internet Commerce 15 (2):97–124. doi:10.1080/15332861.2016.1148971.
   Web of Science ®Google Scholar
• Nazlan, N. H., S. Tanford, and R. Montgomery. 2018. The effect of availability heuristics in online consumer reviews. Journal of Consumer Behaviour 17 (5):449–460. doi:10.1002/cb.1731.
   Web of Science ®Google Scholar
• Nikolinakou, A., and J. Phua. 2020. Do human values matter for promoting brands on social media? How social media users’ values influence valuable brand-related activities such as sharing, content creation, and reviews. Journal of Consumer Behaviour 19 (1):13–23. doi:10.1002/cb.1790.
   Web of Science ®Google Scholar
• Pantano, E., S. Giglio, and C. Dennis. 2019. Making sense of consumers’ tweets Sentiment outcomes for fast fashion retailers through Big Data analytics. International Journal of Retail & Distribution Management 47 (9):915–927. doi:10.1108/IJRDM-07-2018-0127.
   Web of Science ®Google Scholar
• Parboteeah, D. V., J. S. Valacich, and J. D. Wells. 2009. The influence of website characteristics on a consumer's urge to buy impulsively. Information Systems Research 20 (1):60–78. doi:10.1287/isre.1070.0157.
   Web of Science ®Google Scholar
• Pino, G., C. Amatulli, R. Nataraajan, M. De Angelis, A. M. Peluso, and G. Guido. 2020. Product touch in the real and digital world: How do consumers react? Journal of Business Research 112:492–501. doi:10.1016/j.jbusres.2019.10.002.
   Web of Science ®Google Scholar
• Roy, G., B. Datta, and R. Basu. 2017. Trends and future directions in online marketing research. Journal of Internet Commerce 16 (1):1–31. doi:10.1080/15332861.2016.1258929.
   Web of Science ®Google Scholar
• Ryu, D. H., C. Lim, and K. J. Kim. 2020. Development of a service blueprint for the online-to-offline integration in service. Journal of Retailing and Consumer Services 54:101944. doi:10.1016/j.jretconser.2019.101944.
   Web of Science ®Google Scholar
• Shahpasandi, F., A. Zarei, and M. S. Nikabadi. 2020. Consumers’ impulse buying behavior on instagram: Examining the influence of flow experiences and hedonic browsing on impulse buying. Journal of Internet Commerce 19 (4):437–465. doi:10.1080/15332861.2020.1816324.
   Web of Science ®Google Scholar
• Suh, T., S. Kang, and E. A. Kemp. 2020. A Bayesian network approach to juxtapose brand engagement and behaviors of substantive interest in e-services. Electronic Commerce Research 20 (2):361–379. doi:10.1007/s10660-018-9320-0.
   Web of Science ®Google Scholar
• Sundstrom, M., S. Hjelm-Lidholm, and A. Radon. 2019. Clicking the boredom away - exploring impulse fashion buying behavior online. Journal of Retailing and Consumer Services 47:150–6. doi:10.1016/j.jretconser.2018.11.006.
   Web of Science ®Google Scholar
• Tang, J., and P. Zhang. 2020. The impact of atmospheric cues on consumers’ approach and avoidance behavioral intentions in social commerce websites. Computers in Human Behavior 108 :105729. doi:10.1016/j.chb.2018.09.038.
   Web of Science ®Google Scholar
• Tran, G. A., and D. Strutton. 2020. Comparing email and SNS users: Investigating e-servicescape, customer reviews, trust, loyalty and E-WOM. Journal of Retailing and Consumer Services 53 :101782. doi:10.1016/j.jretconser.2019.03.009.
   Web of Science ®Google Scholar
• Vazquez, E. E. 2019. Effects of enduring involvement and perceived content vividness on digital engagement. Journal of Research in Interactive Marketing 14 (1):1–16. doi:10.1108/JRIM-05-2018-0071.
   Web of Science ®Google Scholar
• Viejo-Fernandez, N., M. J. Sanzo-Perez, and R. Vazquez-Casielles. 2020. Is showrooming really so terrible? Start understanding showroomers. Journal of Retailing and Consumer Services 54 :16. doi:10.1016/j.jretconser.2020.102048.
   Web of Science ®Google Scholar
• Walsh, J., S. White, K. Morris, and P. Doherty. 2019. How do you solve a problem like Maria? Family complexity and institutional complications in UK social work. European Journal of Social Work 22 (6):1050–1061. doi:10.1080/13691457.2018.1461068.
   Web of Science ®Google Scholar
• Wright, L. B., J. C. Hau, and A. Huckabee. 2019. Blueprint for retail website design: Attracting and retaining millennial online shoppers. Journal of Internet Commerce 18 (2):170–196. doi:10.1080/15332861.2019.1584844.
   Web of Science ®Google Scholar
• Wu, I. L., M. L. Chiu, and K. W. Chen. 2020. Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues. International Journal of Information Management 52 :12. doi:10.1016/j.ijinfomgt.2020.102099.
   Web of Science ®Google Scholar
• Xu, H. Q., K. Z. K. Zhang, and S. J. Zhao. 2020. A dual systems model of online impulse buying. Industrial Management & Data Systems 120 (5):845–861. doi:10.1108/IMDS-04-2019-0214.
   Web of Science ®Google Scholar
• Yang, Y. Q., Y. M. Gong, L. P. W. Land, and T. Chesney. 2020. Understanding the effects of physical experience and information integration on consumer use of online to offline commerce. International Journal of Information Management. 51 :18. doi:10.1016/j.ijinfomgt.2019.102046.
   Web of Science ®Google Scholar
• Yim, M. Y. C., S. C. Chu, and P. L. Sauer. 2017. Is augmented reality technology an effective tool for e-commerce? An interactivity and vividness perspective. Journal of Interactive Marketing 39 :89–103. doi:10.1016/j.intmar.2017.04.001.
   Web of Science ®Google Scholar
• Yu, C., Y. Zuo, B. Feng, L. An, and B. Chen. 2019. An individual-group-merchant relation model for identifying fake online reviews: An empirical study on a Chinese e-commerce platform. Information Technology and Management 20 (3):123–138. doi:10.1007/s10799-018-0288-1.
   Web of Science ®Google Scholar
• Zhang, H., L. Zhao, and S. Gupta. 2018a. The role of online product recommendations on customer decision making and loyalty in social shopping communities. International Journal of Information Management 38 (1):150–166. doi:10.1016/j.ijinfomgt.2017.07.006.
   Web of Science ®Google Scholar
• Zhang, K. Z. K., H. Q. Xu, S. Zhao, and Y. G. Yu. 2018b. Online reviews and impulse buying behavior: The role of browsing and impulsiveness. Internet Research 28 (3):522–543. doi:10.1108/IntR-12-2016-0377.
   Web of Science ®Google Scholar
• Zhao, Z., M. L. Chen, and W. K. Zhang. 2019. Social community, personal involvement and psychological processes: A study of impulse buying in the online shopping carnival. J Electron Commer Res 20 :255–272.
   Web of Science ®Google Scholar
• Zheng, X. B., J. Q. Men, F. Yang, and X. Y. 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
• Zhong, M. J., L. Tan, and X. L. Qu. 2019. Identification of opinion spammers using reviewer reputation and clustering analysis. International Journal of Computers Communications & Control 14 (6):759–772. doi:10.15837/ijccc.2019.6.3704.
   Web of Science ®Google Scholar
• Zhu, Y. Q., D. Amelina, and D. C. Yen. 2020. Celebrity endorsement and impulsive buying intentions in social commerce - the case of Instagram in Indonesia. Journal of Electronic Commerce in Organizations 18 (1):1–17. doi:10.4018/JECO.2020010101.
   Web of Science ®Google Scholar