Analysis of Segmentation Profile on Online Shopping Consumers in Padang City Based on Demographic and Psychographic Characteristics
DOI:
https://doi.org/10.32832/jm-uika.v13i3.5971Keywords:
online shopping, segmentation, demographic, psychographicAbstract
Online shopping has become a more accessible way of purchasing. Customer segmentation play important role in online retailing industry. The main objective of this study is to analysis of segmentation profile of online shopping consumers in Padang City based on demographic and psychographic characteristics. This type of research was descriptive analysis. The data are subsequently related to demographics and psychographic. The sampling technique in this research was purposive sampling. Total samples in this research were 150. The data analysis technique used in this research was cluster analysis. We demonstrate that such cluster related to demographic as well as psychographic characteristics. The results of demographic segmentation, the majority of respondents are female (74.4%) and the most of respondents 21-30 years old. Cluster analysis was applied to segment the customer into eight clusters that have distinct online customer profiles. These segments are named as risk taking consumers, adventurous consumers, active consumers, practical consumers, socialite consumers, economical consumers, passive consumers and independent consumers.References
Ainy, Z. N. (2020). Pengaruh E-Commerce Terhadap Perilaku Konsumtif Masyarakat Di Kelurahan Karang Panjang Kota Ambon. JPEK (Jurnal Pendidikan Ekonomi Dan Kewirausahaan), 4(2), 226–235. https://doi.org/10.29408/jpek.v4i2.2672
An, J., Kwak, H., Jung, S. gyo, Salminen, J., & Jansen, B. J. (2018). Customer segmentation using online platforms: isolating behavioral and demographic segments for persona creation via aggregated user data. Social Network Analysis and Mining, 8(1). https://doi.org/10.1007/s13278-018-0531-0
Brashear, T., Kashyap, V., Musante, M., & Donthu, N. (2009). A profile of the internet shopper: Evidence from six countries. Journal of Marketing Theory and Practice, 17(3), 267–282. https://doi.org/10.2753/MTP1069-6679170305
Brynjolfsson, E., & Smith, M. D. (2000). Frictionless commerce? A comparison of Internet and conventional retailers. Management Science, 46(4), 563–585. https://doi.org/10.1287/mnsc.46.4.563.12061
Chang, M. K., Cheung, W., & Lai, V. S. (2005). Literature derived reference models for the adoption of online shopping. Information & Management, 42(4), 543–559. https://doi.org/10.1016/j.im.2004.02.006
Clemes, M. D., Gan, C., & Zhang, J. (2014). An empirical analysis of online shopping adoption in Beijing, China. Journal of Retailing and Consumer Services, 21(3), 364–375. https://doi.org/10.1016/j.jretconser.2013.08.003
Cooil, B., Aksoy, L., & Timothy, L. (2008). Journal of Relationship Approaches to Customer Segmentation. Journal of Relationship Marketing, 6(4), 9–39. https://doi.org/10.1300/J366v06n03
Cooper, D. R., & Schindler, S, P. (2011). Metode Riset Bisnis. Jakarta: Media.
Ding, C., & He, X. (2004). K-means clustering via principal component analysis. Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004, 225–232. https://doi.org/10.1145/1015330.1015408
Dirsehan, T., & í‡elik, M. (2011). Profiling online consumers according to their experiences with a special focus on social dimension. Procedia - Social and Behavioral Sciences, 24, 401–412. https://doi.org/10.1016/j.sbspro.2011.09.040
Elrod, C., Stanley, S., Cudney, E., & Fisher, C. (2015). Empirical study utilizing QFD to develop an international marketing strategy. Sustainability (Switzerland), 7(8), 10756–10769. https://doi.org/10.3390/su70810756
Foedermayr, E. K., & Diamantopoulos, A. (2008). Market segmentation in practice: Review of empirical studies, methodological assessment, and agenda for future research. Journal of Strategic Marketing, 16(3), 223–265. https://doi.org/10.1080/09652540802117140
Gabriel, Y., & Lang, T. (2006). The Unmanageable Consumer. London : Sage.
Hair, J., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis (Seventh Ed).
Hamka, F., Bouwman, H., De Reuver, M., & Kroesen, M. (2014). Mobile customer segmentation based on smartphone measurement. Telematics and Informatics, 31(2), 220–227. https://doi.org/10.1016/j.tele.2013.08.006
Internet Service Providers Association. (2021). Internet Service Providers Association. https://apjii.or.id/content/utama/104
Jun, M., Yang, Z., & Kim, D. S. (2004). Customers' perceptions of online retailing service quality and their satisfaction. International Journal of Quality and Reliability Management, 21(8), 817–840. https://doi.org/10.1108/02656710410551728
Ko, E., Taylor, C. R., Sung, H., Lee, J., Wagner, U., Martin-Consuegra Navarro, D., & Wang, F. (2012). Global marketing segmentation usefulness in the sportswear industry. Journal of Business Research, 65(11), 1565–1575. https://doi.org/10.1016/j.jbusres.2011.02.041
Kotler, P., & Keller, K. L. (2016). Marketing Management. In Marketing Management (15theditio ed.). Pearson Education.
Kuswanto, H., Hadi Pratama, W. B., & Ahmad, I. S. (2020). Survey data on students' online shopping behaviour: A focus on selected university students in Indonesia. Data in Brief, 29. https://doi.org/10.1016/j.dib.2019.105073
Ladhari, R., Gonthier, J., & Lajante, M. (2019). Generation Y and online fashion shopping: Orientations and profiles. Journal of Retailing and Consumer Services, 48(May 2018), 113–121. https://doi.org/10.1016/j.jretconser.2019.02.003
Limayem, M., Khalifa, M., & Frini, A. (2000). What makes consumers buy from Internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans., 30(4), 421–432. https://doi.org/10.1109/3468.852436
Lin, C. F. (2002). Segmenting customer brand preference: Demographic or psychographic. Journal of Product & Brand Management, 11(4), 249–268. https://doi.org/10.1108/10610420210435443
Lohse, G. L., Bellman, S., & Johnson, E. J. (2000). Consumer buying behavior on the internet: Findings from panel data. Journal of Interactive Marketing, 14(1), 15–29. https://doi.org/10.1002/(SICI)1520-6653(200024)14:1<15::AID-DIR2>3.0.CO;2-C
Magie, & Anna Ashlock. (2008). An Analysis of Lifestyle, Shopping Orientations, Shopping Behaviors and Shopping Involvement Among Teens Aged 13 to 18 in The United States. ProQuest Dissertations and Theses.
Pires, G. D., Stanton, J., & Rita, P. (2006). The internet, consumer empowerment and marketing strategies. European Journal of Marketing, 40(9–10), 936–949. https://doi.org/10.1108/03090560610680943
Prasad, C. J. ., & Reddy, D, R. (2007). A Study on The Role of Demographic and Psychographic Dynamics in Food and Grocery Retailing. The Journal of Business Perspective, 11(4), 21–30.
Reynolds, K. ., Ganesh, J., & Luckett, M. (2002). Traditional Malls vs Factory Outlets: Comparing Shopper Typologies and Implications for Retail Strategies. Journal of Business Research, 55(9), 687–696.
Schiffman, L. G., & Wisenblit, J. (2019). Consumer Behavior 12th Edition (twelfth ed). Pearson Education.
Sebald, A. K., & Jacob, F. (2020). What help do you need for your fashion shopping? A typology of curated fashion shoppers based on shopping motivations. European Management Journal, 38(2), 319–334. https://doi.org/10.1016/j.emj.2019.08.006
Shih, H. P. (2004). An empirical study on predicting user acceptance of e-shopping on the Web. Information and Management, 41(3), 351–368. https://doi.org/10.1016/S0378-7206(03)00079-X
Smith, W. (1956). Product differentiation and market segmentation as alternative marketing strategies. Journal of Marketing, 21, 3–8.
Strauss, J & Frost, R. (2009). E-Marketing (5th editio). Person Prentice Hall, Pearson Education International.
Sugiyono. (2017). Metode Penelitian Kuantitatif. Bandung, Alfabeta.
Swaminathan, V., Lepkowska-White, E., & Rao, B. (1999). Browser or buyer in cyberspace ? An investigation of factor influencing electronic exchange. Journal of Computer Mediated Communication.
Swinyard, W. R., & Smith, S. M. (2003). Why People (Don't) Shop Online: A Lifestyle Study of the Internet Consumer. Psychology and Marketing, 20(7), 567–597. https://doi.org/10.1002/mar.10087
Taber, K. S. (2017). The Use of Cronbach's Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
Tan, P. J., Tanusondjaja, A., Corsi, A., Lockshin, L., Villani, C., & Bogomolova, S. (2021). Behavioural and psychographic characteristics of supermarket catalogue users. Journal of Retailing and Consumer Services, 60. https://doi.org/10.1016/j.jretconser.2021.102469
Tower, A, H, N. (2017). Understanding how Millennial shoppers decide what to buy: digitally connected unseen journeys. International Journal of Retail & Distribution Management, 45(5), 1–25.
Utami, W. (2018). Pengaruh Kualitas Layanan Elektronik, Nilai Yang Dirasakan dan Kepercayaan yang Dirasakan Terhadap Loyalitas Elektronik pada Belanja Terhubung. Jurnal Manajemen Universitas Bung Hatta, 13(2), 43–50.
Vellido, A., Lisboa, P. J. G., & Meehan, K. (1999). Segmentation of the on-line shopping market using neural networks. Expert Systems with Applications, 17(4), 303–314. https://doi.org/10.1016/S0957-4174(99)00042-1
Verhoef, P. C., Neslin, S. A., & Vroomen, B. (2007). Multichannel customer management: Understanding the research-shopper phenomenon. International Journal of Research in Marketing, 24(2), 129–148. https://doi.org/10.1016/j.ijresmar.2006.11.002
Wang, O., & Somogyi, S. (2018). Consumer adoption of sustainable shellfish in China: Effects of psychological factors and segmentation. Journal of Cleaner Production, 206, 966–975. https://doi.org/10.1016/j.jclepro.2018.09.189
Wiguno, D., Wibowo, D, Y., Aprilia, A., & Andreani, F. (2015). Sementasi Konsumen Makanan Cepat Saji Online di Surabaya Secara Demografis dan Psikografis. Jurnal Hospitality Dan Manajemen Jasa, 283.
World Internet User, M. M. G. (2021). World Internet User, Miniwatts Marketing Groupe. http://www.internetworldstats.com/,
Zhou, J., Wei, J., & Xu, B. (2021). Customer segmentation by web content mining. Journal of Retailing and Consumer Services, 61(April), 1–10.
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