[ARMO, (2018). Ecommerce în Romania, Retrieved from http://www.armo.org.ro/rapoarte/romania/.]Search in Google Scholar
[Bagchi, K.K. Udo, G.J., Kirs, P.J., Choden, K., (2015). Internet use and human values: Analyses of developing and developed countries. Computers in Human Behavior, 50(9), 76-90. https://doi.org/10.1016/j.chb.2015.03.055.10.1016/j.chb.2015.03.055]Search in Google Scholar
[Bei, L.-T., Chen, E. Y. I. Widdows, R., (2004). Consumers’ Online Information Search Behavior and the Phenomenon of Search vs. Experience Products. Journal of Family and Economic Issues, Vol. 25(4), 449-46710.1007/s10834-004-5490-0]Search in Google Scholar
[Bodur, H. O., Klein, N. M., Arora, N., (2014). Online price search: impact of price comparison sites on offline price evaluations. Journal of Retailing, 91(1), 125-139. https://doi.org/10.1016/j.jretai.2014.09.003.10.1016/j.jretai.2014.09.003]Search in Google Scholar
[Branco, F., Sun, M.,Villas-Boas, J. M., (2012). Optimal search for product information. Management Science, 58(11), 2037-2056. https://doi.org/10.1287/mnsc.1120.1535.10.1287/mnsc.1120.1535]Search in Google Scholar
[Canova, L., Nicolini, M., (2019). Online price search across desktop and mobile devices: Evidence on cyberslacking and weather effects. Journal of Retailing and Consumer Services, 47, 32–39, https://doi.org/10.1016/j.jretconser.2018.10.01010.1016/j.jretconser.2018.10.010]Search in Google Scholar
[Chih-Chung, C., Chang, S.-C., (2005). Discussion on the behavior intention model of consumer online shopping. Journal of Business and Management, 11(1), 41-57.]Search in Google Scholar
[Chu, J., Chintagunta, P., Cebollada, J., (2008). Research note - a Comparison of within-household price sensitivity. Marketing Science, 27(2), 283-299. https://doi.org/10.1287/mksc.1070.0288.10.1287/mksc.1070.0288]Search in Google Scholar
[DiRusso, D. J., Mudambi, S. M., Schuff, D., (2011). Determinants of prices in an online marketplace. Journal of Product & Brand Management, 20(5), 420-428. https://doi.org/10.1108/10610421111157946.10.1108/10610421111157946]Search in Google Scholar
[Dutta, C. B., Das, D. K., (2017). What drives consumers’ online information search behavior? Evidence from England. Journal of Retailing and Consumer Services, 35(2), 36-45. https://doi.org/10.1016/j.jretconser.2016.10.015.10.1016/j.jretconser.2016.10.015]Search in Google Scholar
[Fang, J., Wen, C., Benjamin, G., Prybutok, V. R., (2016). Consumer heterogeneity, perceived value, and repurchase decision-making in online shopping: the role of gender, age, and shopping motives. Journal of Electronic Commerce Research, 17(2), 116-131.]Search in Google Scholar
[Fornell, C., Larcker, D.F. (1981), Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39–50.10.1177/002224378101800104]Search in Google Scholar
[Gauri, D. K., Sudhir, K., Talukdar, D., (2008). The temporal and spatial dimensions of price search: Insights from matching household survey and purchase data. Journal of Marketing Research, 45(2), 226-240. https://doi.org/10.1509/jmkr.45.2.226.10.1509/jmkr.45.2.226]Search in Google Scholar
[GPEC, (2019), Românii au făcut cumpărături online în valoare de peste 3,5 miliarde de euro în 2018, cu 30% mai mult decât în 2017, Retrieved from https://www.gpec.ro/blog/raportul-pietei-ecommerce-gpec-2018-romanii-au-facutcumparaturi-online-de-peste-3-5-miliarde-euro-in-2018.]Search in Google Scholar
[Hair, J.F., Hult, T.M., Ringle, C., Sarstedt, M. (2017) A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Los Angeles, USA: Sage.]Search in Google Scholar
[Haubl, G., Trifts, V., (2000). Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Science, 19(1), 4-21. https://doi.org/10.1287/mksc.19.1.4.15178.10.1287/mksc.19.1.4.15178]Search in Google Scholar
[Hinton, P. R., Brownlow, C., McMurray, I. and Cozens, B. (2004). SPSS explained. London: Routledge. Homburg, C., Lauer, K., Vomberg, A., (2019). The multichannel pricing dilemma: Do consumers accept higher offline than online prices?. International Journal of Research in Marketing, 36(4), 597-612, https://doi.org/10.1016/j.ijresmar.2019.01.006.10.1016/j.ijresmar.2019.01.006]Search in Google Scholar
[Jang, S., Prasad, A., Ratchford. B. T., (2017). Consumer search of multiple information sources and its impact on consumer price satisfaction. Journal of Interactive Marketing, 40(4), 24-40. https://doi.org/10.1016/j.intmar.2017.06.004.10.1016/j.intmar.2017.06.004]Search in Google Scholar
[Jiang, C.-M., Ma, J.T., (2019). “When your anchor sinks your boat”: A replication and extension study. Journal of Economic Psychology, 75, part A, https://doi.org/10.1016/j.joep.2019.01.001.10.1016/j.joep.2019.01.001]Search in Google Scholar
[Jiang, P., (2002). A model of price search behavior in electronic marketplace. Internet Research, 12(2), 181-190. https://doi.org/10.1108/10662240210422530.10.1108/10662240210422530]Search in Google Scholar
[Johnson, E.J., Moe, W.W., Fader, P.S., Bellman, S., Lohse, G.L., (2004). On the depth and dynamics of online search behavior. Management Science, 50(3), 299-308. https://doi.org/10.1287/mnsc.1040.0194.10.1287/mnsc.1040.0194]Search in Google Scholar
[Jung, K., Cho, Y. C., Lee, S., (2014). Online shoppers’ response to price comparison sites. Journal of Business Research, 67(10), 2079–2087. https://doi.org/10.1016/j.jbusres.2014.04.016.10.1016/j.jbusres.2014.04.016]Search in Google Scholar
[Kim, J. B., Albuquerque, P., Bronnenberg B. J., (2011). Mapping online consumer search. Journal of Marketing Research, 48(1), 13-27. https://doi.org/10.1509/jmkr.48.1.13.10.1509/jmkr.48.1.13]Search in Google Scholar
[Kock, N., 2015. WarpPLS 5.0 User Manual. Laredo, ScriptWarp Systems TX.]Search in Google Scholar
[Kumar, N., Lang, K. R., Peng, Q., (2004/2005). Consumer search behavior in online shopping environments, E - Service Journal, 3(3), 87-102. DOI:10.1109/HICSS.2005.163.10.1109/HICSS.2005.163]Search in Google Scholar
[Lehmann, E., (2003). Pricing behavior on the WEB: Evidence from online travel agencies. Empirica, 30(4), 379-396. https://doi.org/10.1023/B:EMPI.0000005240.01953.e0.10.1023/B:EMPI.0000005240.01953.e0]Search in Google Scholar
[Lo, S.-K., Chou, Y.-J., Teng, C.-I., (2013). Source effect of advertised reference price influences on transaction value in online shopping environments. Electronic Commerce Research, 13(4), 411–421. https://doi.org/10.1007/s10660-013-9129-9.10.1007/s10660-013-9129-9]Search in Google Scholar
[Malhotra, N. K., Nunan, D., Birks, D.F., (2017). Marketing research: an applied approach, Fifth Edition, New York: Pearson.10.4324/9781315088754]Search in Google Scholar
[Moe, W. W., Yang, S., (2009). Inertial disruption: the impact of a new competitive entrant on online consumer search. Journal of Marketing, 73(1), 109-121. https://doi.org/10.1509/jmkg.73.1.109.10.1509/jmkg.73.1.109]Search in Google Scholar
[Monecke, A., Leisch, F., (2012). semPLS: Structural equation modeling using partial least squares. Journal of Statistical Software, 48(3), 1-32, DOI: 10.18637/jss.v048.i03.10.18637/jss.v048.i03]Search in Google Scholar
[Pan, SL, Cui, M, Qian J., (2020). Information Resource Orchestration during the COVID-19 Pandemic: A Study of Community Lockdowns in China, International Journal of Information Management, 54, 1-8, https://doi.org/10.1016/j.ijinfomgt.2020.10214310.1016/j.ijinfomgt.2020.102143]Search in Google Scholar
[Park, C. H., Kim, Y. G., (2003). Identifying key factors affecting consumer purchase behavior in an online shopping context. International Journal of Retail & Distribution Management, 31(1), 16-29. https://doi.org/10.1108/09590550310457818.10.1108/09590550310457818]Search in Google Scholar
[Paushter, I., (2016), Internet access growing worldwide but remains higher in advanced economies, http://www.pewglobal.org/2016/02/22/internet-access-growing-worldwide-but-remains-higher-in-advanced-economies/ (accessed 10 December 2017).]Search in Google Scholar
[Petrescu, M., (2011). Online price dispersion – more than imperfect information. Journal of Product & Brand Management, 20(7), 541-548. https://doi.org/10.1108/10610421111181840.10.1108/10610421111181840]Search in Google Scholar
[Pozzi, A., (2012). Shopping cost and brand exploration in online grocery. American Economic Journal: Microeconomics, 4(3), 96-120. http://dx.doi.org/10.1257/mic.4.3.96.10.1257/mic.4.3.96]Search in Google Scholar
[Ramos, J. A., (2003). A model of consumer external price search behavior in an electronic marketplace (World-Wide-Web), PhD Dissertation Michigan State University, Mass Media Ph.D. Program Departments of Advertising, Journalism, and Telecommunication.]Search in Google Scholar
[Ratchford, B. T., Lee M.-S., Talukdar, D., (2003). The impact of the Internet on information search for automobiles. Journal of Marketing Research, 40(2), 193-209. https://doi.org/10.1509/jmkr.40.2.193.19221.10.1509/jmkr.40.2.193.19221]Search in Google Scholar
[ScriptWarp Systems, (2015). WarpPLS: Laredo, TX, USA.]Search in Google Scholar
[Shankar, V., Rangaswamy, A., Pusateri, M., (2001). The online medium and customer price sensitivity. Working paper, University of Maryland, College Park, MD.]Search in Google Scholar
[Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die?. Journal of Business Research, 117, 280-283, https://doi.org/10.1016/j.jbusres.2020.05.05910.1016/j.jbusres.2020.05.059]Search in Google Scholar
[Songpol, K., Chiquan, G., Napatsawan, E. (2004), Determinants of online information search: a critical review and assessment. Internet Research, 14(3), 245-25310.1108/10662240410542670]Search in Google Scholar
[Urbany, J. E, Dickson, P. R., Kalapurakal, R., (1996). Price search in the retail grocery market. Journal of Marketing, 60(2), 91-104. DOI: 10.2307/1251933.10.2307/1251933]Search in Google Scholar
[van Heerde, H.J., Dinner, I.M., Neslin, S.A., (2019). Engaging the unengaged customer: The value of a retailer mobile app. International Journal of Research in Marketing, 36(3), 420-438, https://doi.org/10.1016/j.ijresmar.2019.03.003.10.1016/j.ijresmar.2019.03.003]Search in Google Scholar
[Wan, X., Wang, T., Zhang, W., Cao, J., (2017). Perceived value of online customization experience in China: Concept, measurement, and consequences. Journal of High Technology Management Research, 28, 17–28, https://doi.org/10.1016/j.hitech.2017.04.00210.1016/j.hitech.2017.04.002]Search in Google Scholar
[Wang, J., Yang, Z., Brocato, E. D., (2018). An investigation into the antecedents of prepurchase online search. Information & Management, 55(3), 285-293. https://doi.org/10.1016/j.im.2017.08.001.10.1016/j.im.2017.08.001]Search in Google Scholar
[Wang, W, Li, F., (2020). What determines online transaction price dispersion? Evidence from the largest online platform in China. Electronic Commerce Research and Applications, 42, In progress (July–August 2020), https://doi.org/10.1016/j.elerap.2020.100968.10.1016/j.elerap.2020.100968]Search in Google Scholar
[Wang, Y., Gu, J., Wang, S., Wang, J., (2019). Understanding consumers’ willingness to use ride-sharing services: The roles of perceived value and perceived risk. Transportation Research Part C, 105, 504–519, https://doi.org/10.1016/j.trc.2019.05.04410.1016/j.trc.2019.05.044]Search in Google Scholar
[Wang, Y., Hong, A., Li, X., Gao, J., (2020). Marketing innovations during a global crisis: A study of China firms’ response to COVID-19. Journal of Business Research, 116, 214–220, https://doi.org/10.1016/j.jbusres.2020.05.029.10.1016/j.jbusres.2020.05.029]Search in Google Scholar
[Wu, J., Arturo E., Gaytan, A., (2013). The role of online seller reviews and product price on buyers’ willingness-to-pay: a risk perspective. European Journal of Information Systems, 22(4), 416–433. https://doi.org/10.1057/ejis.2012.33.10.1057/ejis.2012.33]Search in Google Scholar
[Xing, X., Tang, F.-F., (2004) Pricing behavior in the online DVD market. Journal of Retailing and Consumer Services, 11(3), 141–147. https://doi.org/10.1016/S0969-6989(03)00013-4.10.1016/S0969-6989(03)00013-4]Search in Google Scholar
[Zettelmeyer, F., Morton, F.S., Silva-Risso, J., (2006). How the Internet lowers prices: evidence from matched survey and automobile transaction data. Journal of Marketing Research, 43(2), 168–81. https://doi.org/10.1509/jmkr.43.2.168.10.1509/jmkr.43.2.168]Search in Google Scholar