Recursive Model: Cognitive Learning Behavior in Online Consumers

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Online purchasing decisions are online consumer behavior and are an interesting phenomenon in research. This study aims to prove the concept that online consumer purchasing decisions are influenced by cognitive learning behavior. The main theory underlying this research is consumer behavior and learning. Learning theory is used to analyze consumer learning behavior online with a mix of (crossing) learning theories of behavior and cognitive learning theory. Combination (crossing) between behavioral learning theory, cognitive is called cognitive learning behavior (cognitive learning behavior). This research is a survey. The data used are primary data, with the research instrument in the form of a questionnaire. The subjects of this study are individuals namely online consumers. Online consumers in this study are millennial generation who have made online purchases on one of the e-commerce sites in Indonesia (Matahari.mall, bukalapak, tokopedia, shopee, Zilingo) with this type of product is fashion. In this study 200 respondents were selected. The study consisted of organic stimulation of marketing on the website, online purchasing decisions, cognitive learning, experience preferences. Convenience sampling sampling technique is a sampling method where sampling is based on the availability of elements and the ease of obtaining them. Collecting data with online questionnaires and distributing questionnaires through whatsapp to respondents who are easily contacted by researchers. Data analysis methods with 1) test data quality instruments (validity and reliability), 2) Analysis of Descriptive Statistics and 3) Model Analysis with SEM. The results showed that 1) Organic stimulation of marketing on the website had a positive and significant effect on cognitive learning, 2)experience preference had a positive and significant effect on cognitive learning, 3)cognitive learning had a positive and not significant effect on online purchasing decisions, 4) experience preference had a positive and not significant effect on online purchasing decisions, 5) Organic stimulation of marketing on the website had a positive and significant effect on online purchasing decisions.

     

     


  • Keywords


    Organic Stimulation of Marketing on the Website; Experience Preference; Cognitive Learning; Online Consumer Purchasing Decisions.

  • References


      [1] Abarbanel, B., Bernhard, B., Singh, A. K., & Lucas, A. (2015). Impact of virtual atmospherics and functional qualities on the online gambler’s experience. Behaviour and Information Technology, 34(10), 1005–1021. http://doi.org/10.1080/0144929X.2015.1046930.

      [2] Abideen, Z.-U., & Saleem, S. (2012). Effective advertising and its influence on consumer buying behavior. European Journal of Business and Management, 3(3), 114–119.http://doi.org/10.5897/JAERD12.088.

      [3] AfandySrikandiKumadjiFransiscaYaningwati, T., Kunci, K., & dan Keputusan Pembelian, K. (2014). Pengaruhfaktorpsikologisterhadapkeputusanpembelian (Survei pada MahasiswaFakultasIlmuAdministrasiJurusanAdministrasiBisnis Universitas Brawijaya Malang yang MemutuskanMembeli Handphone Merek Nokia). JurnalAdministrasiBisnis, 15(1).

      [4] Affecting, F., Decision, C., Sector, I. R., Behavior, C. C., & Behavior, R. C. (2009). Factors influencing satisfaction and loyalty in online shopping: an integrated model. Online Information Review, 33(3), 458–475. http://doi.org/10.1108/14684520910969907.

      [5] Affecting, F., Decision, C., Sector, I. R., Behavior, C. C., & Behavior, R. C. (2011). The moderating effect of customer perceived value on online shopping behaviour. Online Information Review (Vol. 35). http://doi.org/10.1108/14684521111151414.

      [6] Akbar, R. M. (2014). Pengaruhadanyateknologi online shop terhadaptingkahlakukonsumen. Management Bachelor Programe, School of Economics and Business. Retrieved from http://rizkiamiftah.blogspot.com/2014/11/dampak-teknologi-online-shopterhadap.html.

      [7] Al-Jabari, M., Norezam Othman, S., &Kamariah Nik Mat, N. (2012). Actual Online Shopping Behavior among Jordanian Customers. American Journal of Economics, 2(4),125–129. http://doi.org/10.5923/j.economics.20120001.28.

      [8] Aljukhadar, M. (2009). E-customization: Research and applications from the cognitive learning theory. Handbook of Research in Mass Customization and Personalization.http://doi.org/10.1142/9789814280280_0013.

      [9] Anggraeni, Penia; Madiawati, P. N. (2016). PengaruhKepercayaan dan KualitasInformasiterhadap Keputusan Pembeliansecara Online pada Situs www.Traveloka.com. EProceeding of Management, 3(2), 1880–1887.

      [10] Ardianto Kusuma. (2016). AnalisisFaktor-Faktor Yang BerpengaruhTerhadap Keputusan PembelianSecara Online Di Website Tokopedia (StudiKasus pada Mahasiswa di Universitas Islam Indonesia). JurnalEkonomi, 1–22.

      [11] Ardyanto, D., Susilo, H., &Riyadi. (2015). PengaruhKemudahan dan KepercayaanMenggunakan E-CpmmerceTerhadap Keputusan Pembelian Online (Survei Pada Konsumenwww.petersaysdenim.com). PengaruhKemudahan Dan KepercayaanMenggunakan E-Commerce Terhadap Keputusan Pembelian Online, 22(1), 1–8.

      [12] Azzadina, I., Huda, A. N., Pamatang, C., &Sianipar, M. (2012). Understanding Relationship between Personality Types, Marketing-mix Factors, and Purchasing Decisions. Procedia -Social and Behavioral Sciences International Congress on Interdisciplinary Business and Social Science IrnaAzzadina et Al. Procedia -Social and Behavioral Sciences, 65(65), 352–357. http://doi.org/10.1016/j.sbspro.2012.11.133.

      [13] Badrinarayanan, V., Becerra, E. P., Kim, C. H., & Madhavaram, S. (2012). Transference and congruence effects on purchase intentions in online stores of multi-channel retailers: Initial evidence from the U.S. and South Korea. Journal of the Academy of Marketing Science, 40(4), 539–557. http://doi.org/10.1007/s11747-010-0239-9.

      [14] Bagozzi, R. P., & Dholakia, U. M. (2002). Intentional social action in virtual communities. Journal of Interactive Marketing, 16(2), 2–21. http://doi.org/10.1002/dir.10006.

      [15] Ballantine, P. W., & Fortin, D. R. (2009). The effects of interactivity and product information on consumers’ emotional responses to an online retail setting. International Journal of Internet Marketing and Advertising, 5(4), 260.http://doi.org/10.1504/ijima.2009.027810.

      [16] Basuki Cahyono, DheaseyAmboningtyas, Andi Tri Haryono, D. M. (2017) Bayton, J. A. (1958). Motivation, Cognition, Learning: Basic Factors in Consumer Behavior. Journal of Marketing, 22(3), 282–289. http://doi.org/10.2307/1247119.

      [17] Bechmann, A., & Lomborg, S. (2013). Applying the technology acceptance model and flow theory to online consumer behavior. New Media and Society, 15(5), 765–781. http://doi.org/10.1287/isre.13.2.205.83.

      [18] Björk, P. (2010). Atmospherics on tour operators’ websites: Website features that stimulate emotional response. Journal of Vacation Marketing, 16(4), 283–296.http://doi.org/10.1177/1356766710372243.

      [19] Bloom, B. (1956). A Taxonomy of Cognitive Objectives. In A Taxonomy of Cognitive Objectives.

      [20] Blunch, N. J. (2012). SEM-Analysis and AMOS. Introduction to Structural Equation Modelling Using SPSS and AMOS, 74–102. http://doi.org/10.1007/BF00213440.

      [21] Brakus, J. J., Schmitt, B. H., &Zarantonello, L. (2009). Brand Experience: What Is It? How Is It Measured? Does It Affect Loyalty? Journal of Marketing, 73(3), 52–68.http://doi.org/10.1509/jmkg.73.3.52.

      [22] Caraka, G. P., &Rachmawati, I. (2015). PerananKarakteristik Dan PsikologiKonsumenTerhadap Keputusan PembelianKembaliProdukPakaianMelalui Instagram. eProceedings of Management, 2(1). Retrieved from http://libraryeproceeding.telkomuniversity.ac.id/index.php/management/article/view/1119/1072.

      [23] Chen, L. S. L. (2010). The impact of perceived risk, intangibility and consumer characteristics on online game playing. Computers in Human Behavior, 26(6), 1607–1613.http://doi.org/10.1016/j.chb.2010.06.008.

      [24] Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535.http://doi.org/10.1016/S0022-4359(01)00056-2.

      [25] Cho, Y., Im, I., Hiltz, R., &Fjermestad, J. (2002). The Effects of Post-Purchase Evaluation Factors on Online vs. Offline Customer Complaining Behavior: Implications for Customer Loyalty. Advances in Consumer Research, 29(1), 318–326. http://doi.org/10.16953/deusbed.74839.

      [26] Coviello, N., Milley, R., &Marcolin, B. (2001). Understanding IT-enabled interactivity in contemporary marketing. Journal of Interactive Marketing, 15(4), 18–33.http://doi.org/10.1002/dir.1020.

      [27] Cugelman, B. (2010). Online Social Marketing: Website Factors in Behavioural Change. Marketing Journal.

      [28] Cui, X., Lai, V. S., & Lowry, P. B. (2016). How do bidders’ organism reactions mediate auction stimuli and bidder loyalty in online auctions? The case of Taobao in China.Information and Management, 53(5), 609–624. http://doi.org/10.1016/j.im.2016.01.00.

      [29] Cummins, S., Peltier, J. W., Schibrowsky, J. A., &Nill, A. (2014). Consumer behavior in the online context. Journal of Research in Interactive Marketing, 8(3), 169–202.http://doi.org/10.1108/JRIM-04-2013-0019.

      [30] Dajan, A. (1976). PengantarMetodeStatistikJilid II. In PengantarMetodeStatistikJilid II.

      [31] Darley, W. K. (2010). Guest editorial: The interaction of online technology on the consumer shopping experience. Psychology and Marketing, 27(2), 91–93. http://doi.org/10.1002/mar.20321.

      [32] Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. http://doi.org/10.2307/249008 70.

      [33] Dewi, N. P. R. A., &Ardani, I. G. A. K. S. (2016). PengaruhSikap, Norma SubjektifTerhadapNiatBeliUlangProduk Fashion Via Online di Kota Denpasar. E-JurnalManajemenUnud, 5(4), 2637–2664. http://doi.org/2302-8912.

      [34] Di Pietro, L., &Pantano, E. (2012). An empirical investigation of social network influence on consumer purchasing decision: The case of Facebook. Journal of Direct, Data and Digital Marketing Practice, 14(1), 18–29. http://doi.org/10.1057/dddmp.2012.10.

      [35] Dobre, C., & Milovan-Ciuta, A.-M. (2015). Personality influences on online stores customers behavior. EcoForum, 4(1), 69–76.

      [36] Edy, I. C., &Riyanto. (2017). Soft model: Online consumer behavior with social culture as moderating effects. International Journal of Civil Engineering and Technology, 8(10),578–587. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037857730&partnerID=40&md5=ba491335eebc0ada98647f646291f2aa.

      [37] Edy, I. C., &Tiningrum, E. (2015). Examining the model of the use of facebook effects on individual behavior (A Study to the Students of High Schools in Surakarta City). Researchers World, 6(1), 59–65. Retrieved from http://search.proquest.com/docview/1655116110?accountid=41248.

      [38] Ekasari, N. (2014). PengaruhPromosiBerbasisSosial Media Terhadap Keputusan PembelianProdukJasaPembiayaanKendaraan Pada PT. BFI Finance Jambi. JurnalPenelitian Universitas Jambi Seri Humaniora, 16(2), 81. http://doi.org/10.1017/CBO9781107415324.004.

      [39] El-Gohary. (2010). The impact of E-marketing practices on market performance of small business enterprises. An empirical investigation. University of Bradford, (2002), 1–51.http://doi.org/10.1159/000105503.

      [40] Fihartini, Y. (2017). persepsiperilakuetis online retail pada kepercayaankonsumen dan niatpembelian online. Prosiding: MembangunEtikaSosialPolitikMenujuMasayarakat Yang Berkeadilan, 218–229.

      [41] Furkonudin, Suryadi, E., &Darmanto. (2016). Evaluasikualitaslayanan website ecommerce blibli.com menggunakanmetodewebqual 4.0 terhadapkeputusanpembelian online. Seminar Nasional TeknologiInformasi Dan Multimedia 2016, 7–12. Retrieved from http://ojs.amikom.ac.id/index.php/semnasteknomedia/article/download/1281/1211.

      [42] Furmanski, C., Payton, D., & Daily, M. (2004). Quantitative evaluation methodology for dynamic, Web-based collaboration tools. In Proceedings of the Hawaii International Conference on System Sciences (Vol. 37, pp. 2117–2126).http://doi.org/10.1109/HICSS.2004.1265331.

      [43] Gagne, R. M. (1977). the Conditions of Learning. Journal of School Psychology.

      [44] Gaspar, P. (2017). User Preferences Analysis Using Visual Stimuli. In Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys ’17 (pp. 436–440).http://doi.org/10.1145/3109859.3120955.

      [45] Geetha, V., & Rangarajan, K. (2016). Consumer Buying Behavior Online - An Indian Perspective. IJCTA, 9(40), 359–367. Retrieved from http://serialsjournals.com/serialjournalmanager/pdf/1493468497.pdf.

      [46] Gentile, C., Spiller, N., &Noci, G. (2007). How to Sustain the Customer Experience: An Overview of Experience Components that Co-create Value with the Customer. European Management Journal, 25(5), 395–410. http://doi.org/10.1016/j.emj.2007.08.005.

      [47] Gumulya, D., &Nastasia, P. (2015). Kajian Teori Emotional Design. JurnalDesain, 3(1),1–20.

      [48] Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data.

      [49] Hasan, U. (2012). Cognitive Dissonance and Its Impact on Consumer Buying Behaviour.IOSR Journal of Business and Management, 1(4), 7–12. http://doi.org/10.9790/487x-0140712.

      [50] HataneSemuel. (2006). DampakResponEmosiTerhadapKecenderunganPerilakuPembelianImpulsifKonsumen Online DenganSumberdaya Yang Dikeluakan Dan OrientasiBelanjaSebagaiVariabelMediasi. JurnalManajemen Dan Kewirausahaan, 8, pp.101-115. Retrieved from http://puslit2.petra.ac.id/ejournal/index.php/man/article/view/16571.

      [51] Herjanto, H., Gaur, S. S., & Yap, S.-F. (2015). Consumer Emotional Responses to Emotional Appeal Advertising Within an Online Social Network Context (pp. 226–233).http://doi.org/10.1007/978-3-319-24184-5_59.

      [52] Im, H., Lennon, S. J., &Stoel, L. (2010). The perceptual fluency effect on pleasurable online shopping experience. Journal of Research in Interactive Marketing, 4(4), 280–295.http://doi.org/10.1108/17505931011092808.

      [53] Jalalkamali, M., &Nikbin, D. (2010). The Effects of Motivation on Purchase Decision. Interdisciplinary Journal of Contemprorary Research in Business, 2(8), 234–246.

      [54] Joines, J. L., Scherer, C. W., &Scheufele, D. A. (2003). Exploring motivations for consumer Web use and their implications for e-commerce. Journal of Consumer Marketing, 20(2–3), 90–108. http://doi.org/10.1108/07363760310464578.

      [55] Joy, A., Sherry, J., Venkatesh, A., & Deschenes, J. (2009). Perceiving images and telling tales: A visual and verbal analysis of the meaning of the internet. Journal of Consumer Psychology, 19(3), 556–566. http://doi.org/10.1016/j.jcps.2009.05.013.

      [56] Kang, Y. S., & Kim, Y. J. (2006). Do visitors’ interest level and perceived quantity of web page content matter in shaping the attitude toward a web site? Decision Support Systems,42(2), 1187–1202. http://doi.org/10.1016/j.dss.2005.10.004.

      [57] Kim, H., & Lennon, S. J. (2010). E‐atmosphere, emotional, cognitive, and behavioral responses. Journal of Fashion Marketing and Management: An International Journal,14(3), 412–428. http://doi.org/10.1108/13612021011061861.

      [58] Kim, H., & Song, J. (2010). The quality of word-of-mouth in the online shopping mall. Journal of Research in Interactive Marketing, 4(4), 376–390. http://doi.org/10.1108/17505931011092844.

      [59] Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers’ emotion, perceived risk and purchase intention: Based on the stimulusorganism-response model. Journal of Research in Interactive Marketing, 7(1), 33–56.http://doi.org/10.1108/17505931311316734.

      [60] Kim, Y.-E. (2016). Impact of gender differences in DNA on consumer buying behavior.Journal of Distribution Science, 14(2), 33–39. http://doi.org/10.15722/jds.14.2.201602.33

      [61] Kotler, P. (Philip J. Keller, K. L., & Keller, K. L. (2012). Marketing management. In Marketing Management (Vol. 37, pp. 40–47). Retrieved from http://biblioteca.porto.ipam.pt/cgi-bin/koha/opac-detail.pl?biblionumber=6373.

      [62] Kotler, P. and Keller, K. (2009). Marketing managemen. 1st Ed. Upper Saddle River, N.J.:Pearson Prentice Hall.

      [63] Kotler, P., & Armstrong, G. (2008). Empresa y estrategias de marketing. In Marketing (pp.33–67). http://doi.org/10.1186/1745-6215-11-48.

      [64] Kotler, P., & Keller, K. L. (2007). Marketing Management. Organization, XLIV, 816.Retrieved from http://usir.salford.ac.uk/4476/.

      [65] Koufaris, M., Model, T. A., & Behavior, O. C. (2002). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems, 13(2), 205–223. http://doi.org/10.1287/isre.13.2.205.83.

      [66] Koufaris. (2002). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13(2), 205–223.http://doi.org/10.1287/isre.13.2.205.83.

      [67] Kusumah, R. (2015). Analyze the Effect of Trust, Price, Quality and Perceived Risk Toward Consumer urchase Behavior in Online Shops Instagram. JurnalBerkalaIlmiahEfisiensi, 15(15), 355–366.

      [68] Kusumowidagdo, A. (2012). Pengaruhdesainatmosfertokoterhadapperilakubelanjastudiataspengaruh gender terhadapresponpengunjungtoko. International Research Journal of Business Studies, 3(1).

      [69] Lee, Z. C., Yurchisin, J., & Lin, C. Te. (2010). The impact of website attractiveness,consumer-website identification, and website trustworthiness on purchase intention. In Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 (pp. 301–306). http://doi.org/10.1109/ICIS.2010.148.

      [70] Li, X. (2007). Agent-based consumer learning in e-commerce. International Journal of Networking and Virtual Organisations, 4(1), 65.http://doi.org/10.1504/IJNVO.2007.012083.

      [71] Liao, C., Palvia, P., & Lin, H. N. (2010). Stage antecedents of consumer online buying behavior. Electronic Markets, 20(1), 53–65. http://doi.org/10.1007/s12525-010-0030-2.

      [72] Limbu, Y. B., Huhmann, B. A., & Xu, B. (2012). Are college students at greater risk of credit card abuse Age, gender, materialism and parental influence on consumer response to credit cards. Journal of Financial Services Marketing. http://doi.org/10.1057/fsm.2012.9.

      [73] Lin, J., Yan, Y., Chen, S., & Luo, X. (Robert). (2017). Understanding the Impact of Social Commerce Website Technical Features on Repurchase Intention: a Chinese Guanxi Perspective. Journal of Electronic Commerce Research, 18(3), 225–244.

      [74] Lin, S. W., & Lo, L. Y. S. (2016). Evoking online consumer impulse buying through virtual layout schemes. Behaviour and Information Technology, 35(1), 38–56.http://doi.org/10.1080/0144929X.2015.1056546.

      [75] Liu, Y., Wan, H., & Yang, X. (2010). Online Consumer Behavior. 201O International Conference on Computer and Communication Technologies in Agriculture Engineering,270–273. http://doi.org/10.1109/CCTAE.2010.5544499.

      [76] Lorenzo-Romero, C., Alarcón-del-Amo, M.-C., & Gómez-Borja, M.-Á. (2016). Analyzing the User Behavior toward Electronic Commerce Stimuli. Frontiers in Behavioral Neuroscience, 10. http://doi.org/10.3389/fnbeh.2016.00224.

      [77] Luna, D., Peracchio, L. A., & De Juan, M. D. (2002). Cross-cultural and cognitive aspects of web site navigation. Journal of the Academy of Marketing Science. http://doi.org/10.1177/009207002236913.

      [78] Martin, R. C., & Dahlen, E. R. (2005). Cognitive emotion regulation in the prediction of depression, anxiety, stress, and anger. Personality and Individual Differences, 39(7), 1249–1260. http://doi.org/10.1016/j.paid.2005.06.004.

      [79] Meyer, C., &Schwager, A. (2007). Understanding customer exprience. Harvard Business Review. http://doi.org/10.1108/00242539410067746.

      [80] Milan, G. S., Bebber, S., Toni, D. De, & Eberle, L. (2015). Information Quality, Distrust and Perceived Risk as Antecedents of Purchase Intention in the Online Purchase Context. Journal of Management Information System & E-Commerce.http://doi.org/10.15640/jmise.v2n2a2.

      [81] Nurgayatri, A. R. (2016). PengaruhPromosi Online Pada Media SosialTerhadap Keputusan PembelianKonsumen Brand Elmeira. FakultasEkonomi Dan Bisnis,Universitas Telkom, 3(3), 2679–2687.

      [82] 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. http://doi.org/10.1108/09590550310457818.

      [83] Pluzinski, C., & Qualls, W. J. (1975). Consumer Response to Marketing Stimuli. Advances in Consumer Research, 231–234.

      [84] Pomirleanu, N., Schibrowsky, J. a., Peltier, J., &Nill, A. (2013). A review of internet marketing research over the past 20 years and future research direction. Journal of Research in Interactive Marketing, 7(3), 166–181. http://doi.org/10.1108/JRIM-01-2013- 0006.

      [85] Prajitno, S. B. (2008). MetodologiPenelitianKuantitatif. Komunikasipenelitiankuantitatif Program StudiJurnalistik&Humas, 1–29. http://doi.org/10.1017/CBO9781107415324.004.

      [86] Priambodo, S., & Prabawani, B. (2016). pengaruh persepsi manfaat, persepsi kemudahan penggunaan, dan persepsi risiko terhadap minat menggunakan layanan uang elektronik (Studi Kasus pada Masyarakat di Kota Semarang ). JurnalIlmuAdministrasiBisnis, 5(2),1–9.

      [87] Rohm, A. J., & Swaminathan, V. (2004). A typology of online shoppers based on shopping motivations. Journal of Business Research, 57(7), 748–757. http://doi.org/10.1016/S0148-2963(02)00351-X.

      [88] Rosen, D. E., &Purinton, E. (2004). Website design. Journal of Business Research, 57(7), 787–794. http://doi.org/10.1016/S0148-2963(02)00353-3.

      [89] Rosenkrans, G. (2010). Maximizing user interactivity through banner ad design. Journal of Promotion Management, 16(3), 265–287. http://doi.org/10.1080/10496490903582586.

      [90] Salehi, M. (2011). Consumer buying behavior towards online shopping stores in Malaysia. International Journal of Academic Research in Accounting, Finance and Management Sciences, 1(2), 10. http://doi.org/10.6007/ijarafms.v1i2.8.

      [91] Santoso, B. (2009). RisetPerilakuKonsumenStudiMengenaiPerlakuKonsumenTerhadap Online Shopping.JurnalPerilakuKonsumen, 1–10.

      [92] Schultz, D. E., & Peltier, J. J. (2013). Social media’s slippery slope: challenges,opportunities and future research directions. Journal of Research in Interactive Marketing,7(2), 86–99. http://doi.org/10.1108/JRIM-12-2012-0054.

      [93] Setiadi, N. J. (2008). Perilakukonsumen: konsep dan implikasiuntukstrategi dan penelitianpemasaran. 1. KONSUMEN, PERILAKU<BR>2. PEMASARAN,PerilakuKonsumen: Konsep Dan ImplikasiUntukStrategi Dan PenelitianPemasaran / Nugroho J.Setiadi, 2008(2008), 1–99. http://doi.org/10.1016/j.jns.2006.05.033.

      [94] Steils, N., Crié, D., &Decrop, A. (2018). Online consumer learning as a tool for improving product appropriation. Journal of Retailing and Consumer Services.http://doi.org/10.1016/j.jretconser.2018.04.007

      [95] Sundar, S. S., &Kalyanaraman, S. (2004). Arousal, memory, and impression-formation effects of animation speed in web advertising. Journal of Advertising, 33(1), 7–17. http://doi.org/10.1080/00913367.2004.10639152.

      [96] Tiago, M. T. P. M. B., & Ver??ssimo, J. M. C. (2014). Digital marketing and social media: Why bother? Business Horizons, 57(6), 703–708.http://doi.org/10.1016/j.bushor.2014.07.002

      [97] Tolman, E. C. (1938). Physiology, psychology, and sociology. Psychological Review,45(3), 228–241. http://doi.org/10.1037/h0060722.

      [98] Vachhani, N. V, &Bhayani, S. (2012). Predictors of Online Consumer Behavior. Journal of Commerce and Accounting Research, 1(3), 45–50. Retrieved from https://libproxy.wlu.ca/login?url=http://search.proquest.com/docview/1490568586?account id=15090%0Ahttp://sfx.scholarsportal.info/laurier?url_ver=Z39.88-004&rft_val_fmt=info:ofi/

      [99] Yoon, C. (2010). Antecedents of customer satisfaction with online banking in China: The effects of experience. Computers in Human Behavior, 26(6), 1296–1304. http://doi.org/10.1016/j.chb.2010.04.001.

      Zhonghua, W. (2012). Analysis of Internet Consumer Behavior and Enterprise Strategies in China. In proceedings of the sixth international symposium – the development of small and medium-sized enterprises (pp. 65–69). http://doi.org/10.5503/J.CL.2014.14.008

 

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Article ID: 29773
 
DOI: 10.14419/ijet.v8i4.29773




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