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Price search behaviour in digital markets – A perspective from Romania Cover

Price search behaviour in digital markets – A perspective from Romania

Open Access
|Jun 2020

References

  1. ARMO, (2018). Ecommerce în Romania, Retrieved from http://www.armo.org.ro/rapoarte/romania/.
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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.
  8. 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
  9. 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
  10. 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
  11. 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.
  12. 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
  13. 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
  14. 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.
  15. 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.
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. Kock, N., 2015. WarpPLS 5.0 User Manual. Laredo, ScriptWarp Systems TX.
  25. 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
  26. 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
  27. 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
  28. Malhotra, N. K., Nunan, D., Birks, D.F., (2017). Marketing research: an applied approach, Fifth Edition, New York: Pearson.10.4324/9781315088754
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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).
  34. 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
  35. 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
  36. 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.
  37. 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
  38. ScriptWarp Systems, (2015). WarpPLS: Laredo, TX, USA.
  39. Shankar, V., Rangaswamy, A., Pusateri, M., (2001). The online medium and customer price sensitivity. Working paper, University of Maryland, College Park, MD.
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
DOI: https://doi.org/10.2478/mmcks-2020-0014 | Journal eISSN: 2069-8887 | Journal ISSN: 1842-0206
Language: English
Page range: 219 - 235
Published on: Jun 30, 2020
Published by: Society for Business Excellence
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Diana-Maria Vrânceanu, Claudia-Elena Țuclea, Gabriela Țigu, published by Society for Business Excellence
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.