Lifestyle segmentation: mobile phone purchase vis-à-vis consumption decision
Abstract
Prior studies intensively rely on lifestyle segmentation to investigate the patterns of purchase and consumption decisions. However, the literature does not specifically relate lifestyle profiles with the types of consumer decisions (i.e., purchasing vs. consumption decisions). Therefore, this research analyzed the issue by surveying 626 residents of Salatiga city, Indonesia, as the participants through self-administered questionnaires. By analyzing the data with factor, cluster, and chi-square analysis, this paper demonstrated that purchase decisions (i.e., the choice of brand name and country of origin) are not associated with lifestyle segments, while consumption decisions differ among the segments. Meanwhile, lifestyle is more likely associated with enduring (i.e., consumption decisions) than occasional behaviors (i.e., purchase decisions) such as the purchase of a mobile phone and its related services.
Keyword : lifestyle profile, factor analysis, cluster analysis, brand name, country of origin
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Andehn, M., Nordin, F., & Nilsson, M. (2016). Facets of country image and brand equity: Revisiting the role of product categories in country‐of‐origin effect research. Journal of Consumer Behaviour, 15(3), 225–238. https://doi.org/10.1002/cb.1550
Assael, H. (2005). Consumer behavior: A strategic approach. Houghton Mifflin Company.
Asseraf, Y., & Shoham, A. (2017). Destination branding: The role of consumer affinity. Journal of Destination Marketing & Management, 6(4), 375–384. https://doi.org/10.1016/j.jdmm.2016.06.004
Balabanis, G., & Siamagka, N.-T. (2017). Inconsistencies in the behavioural effects of consumer ethnocentrism: The role of brand, product category and country of origin. International Marketing Review, 34(2), 166–182. https://doi.org/10.1108/IMR-03-2015-0057
Balakrishnan, J., & Griffiths, M. (2018). Loyalty towards online games, gaming addiction, and purchase intention towards online mobile in-game features. Computers in Human Behavior, 87, 238–246. https://doi.org/10.1016/j.chb.2018.06.002
Barrett, P., Imamura, F., Brage, S., Griffin, S. J., Wareham, N. J., & Forouhi, N. G. (2017). Sociodemographic, lifestyle and behavioural factors associated with consumption of sweetened beverages among adults in Cambridgeshire, UK: the Fenland study. Public Health Nutrition, 20(15), 2766–2777. https://doi.org/10.1017/S136898001700177X
Candan, F. B., & Kapucu, H. (2018). The effect of lifestyle on conspicuous consumption. In O. Ekşi & F. B. Candan (Eds.), Current debates in business studies (Vol. 15, pp. 109–125). IJOPEC Publication Limited.
Choi, M., & Park, K. (2018). Differences in awareness, attitude and purchase intention of multi-brand stores among fashion lifestyle groups. Journal of the Korean Society of Clothing Textiles, 42(3), 438–451. https://doi.org/10.5850/JKSCT.2018.42.3.438
Christea, A., Capatina, G., & Stoenescu, R.-D. (2015). Country-of-origin effects on perceived brand positioning. Procedia Economics Finance, 23, 422–427. https://doi.org/10.1016/S2212-5671(15)00383-4
Cifci, S., Ekinci, Y., Whyatt, G., Japutra, A., Molinillo, S., & Siala, H. (2016). A cross validation of consumer-based brand equity models: Driving customer equity in retail brands. Journal of Business Research, 69(9), 3740–3747. https://doi.org/10.1016/j.jbusres.2015.12.066
Diaz, A., Gomez, M., Molina, A., & Santos, J. (2018). A segmentation study of cinema consumers based on values and lifestyle. Journal of Retailing and Consumer Services, 41, 79–89. https://doi.org/10.1016/j.jretconser.2017.12.001
Ernst, A., & Briegel, R. (2017). A dynamic and spatially explicit psychological model of the diffusion of green electricity across Germany. Journal of Environmental Psychology, 52, 183–193. https://doi.org/10.1016/j.jenvp.2016.12.003
Fernandez-Ferrin, P., Calvo-Turrientes, A., Bande, B., Artaraz-Minon, M., & Galan-Ladero, M. M. (2018). The valuation and purchase of food products that combine local, regional and traditional features: The influence of consumer ethnocentrism. Food Quality and Preference, 64, 138–147. https://doi.org/10.1016/j.foodqual.2017.09.015
Fischer, P. M., & Zeugner-Roth, K. P. (2017). Disentangling country-of-origin effects: The interplay of product ethnicity, national identity, and consumer ethnocentrism. Marketing Letters, 28(2), 189–204. https://doi.org/10.1007/s11002-016-9400-7
Franzen, G., & Moriarty, S. E. (2009). The science and art of branding. M.E. Sharpe, Inc.
Gardner, B. (2015). A review and analysis of the use of ‘habit’ in understanding, predicting and influencing health-related behaviour. Health Psychology Review, 9(3), 277–295. https://doi.org/10.1080/17437199.2013.876238
George-Ufot, G., Qu, Y., & Orji, I. J. (2017). Sustainable lifestyle factors influencing industries’ electric consumption patterns using Fuzzy logic and DEMATEL: The Nigerian perspective. Journal of Cleaner Production, 162, 624–634. https://doi.org/10.1016/j.jclepro.2017.05.188
Hair, J. F., Tatham, R. L., Anderson, R. E., & Black, W. (2010). Multivariate data analysis. Pearson Prentice Hall Upper Saddle River, NJ.
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
Harcar, T., & Kaynak, E. (2015). The impact of country-of-origin and ethnocentrism: An experimental study of consumer taste preferences for soft drinks at cross-cultural level. Journal of Euromarketing, 24(2–3), 120–131. https://doi.org/10.9768/0024.02-3.120
Hassan, S. H., Ramayah, T., Mohamed, O., & Maghsoudi, A. (2015). E-Lifestyle conceptualization: Measurement model validation using variance based structural equation modeling (SEM-PLS). Modern Applied Science, 9(2), 307–319. https://doi.org/10.5539/mas.v9n2p307
Jadczakova, V. (2010). Evaluation and analysis of questionnaire lifestyle segmentation. Department of Statistics and Operation Analysis. Mendel University.
James, A., Ravichandran, S., Chuang, N. K., & Bolden, E. (2017). Using lifestyle analysis to develop lodging packages for staycation travelers: An exploratory study. Journal of Quality Assurance in Hospitality and Tourism, 18(4), 387–415. https://doi.org/10.1080/1528008X.2016.1250240
Jang, J.-S. (2017). The comparative study on the purchase of convenience foods according to the food-related lifestyle in Chinese students. The Korean Journal of Food Nutrition, 30(1), 105–111. https://doi.org/10.9799/ksfan.2017.30.1.105
Jang, J. Y., Han, K., Shih, P. C., & Lee, D. (2015). Generation like: Comparative characteristics in Instagram. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 4039–4042. https://doi.org/10.1145/2702123.2702555
Kim, M.-J., & Park, J. (2014). Mobile phone purchase and usage behaviours of early adopter groups in Korea. Behaviour & Information Technology, 33(7), 693–703. https://doi.org/10.1080/0144929X.2013.796001
Kim, M., & Kim, C. (2020). Lifestyle and travel motivation of the elderly in South Korea: Baseline characteristics and the relationship between demographic factors. International Journal of Hospitality & Tourism Administration, 21(2), 141–164. https://doi.org/10.1080/15256480.2018.1464417
Klein, J. G., Ettenson, R., & Morris, M. D. (1998). The animosity model of foreign product purchase: An empirical test in the people’s Republic of China. Journal of Marketing, 62(1), 89–100. https://doi.org/10.1177/002224299806200108
Knight, G. A., & Calantone, R. J. (2000). A flexible model of consumer country-of-origin perceptions: A cross-cultural investigation. International Marketing Review, 17(2), 127–145. https://doi.org/10.1108/02651330010322615
Krishnan, J. (2011). Lifestyle – A tool for understanding buyer behavior. International Journal of Economics and Management, 5(1), 283–298.
Leung, L., & Chen, C. (2017). Extending the theory of planned behavior: A study of lifestyles, contextual factors, mobile viewing habits, TV content interest, and intention to adopt mobile TV. Telematics Informatics, 34(8), 1638–1649. https://doi.org/10.1016/j.tele.2017.07.010
Li, G., Li, G., & Kambele, Z. (2012). Luxury fashion brand consumers in China: Perceived value, fashion lifestyle, and willingness to pay. Journal of Business Research, 65(10), 1516–1522. https://doi.org/10.1016/j.jbusres.2011.10.019
Mackay, M. M., & Weidlich, O. (2013). Australian mobile phone lifestyle index. AIMIA-The Digital Industry Association of Australia. http://www.sponsor-ed.com.au/app/webroot/uploaded_files/media/Ampli%202013%20Report_Final_October%2024.pdf
Mahika, E.-C. (2011). Current trends in tourist motivation. Cactus Tourism Journal, 2(2), 15–24.
Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in is research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865–1883. https://doi.org/10.1287/mnsc.1060.0597
McFadden, C. (2018). A chronological history of social media. Interesting Engineering. https://interestingengineering.com/achronological-history-of-social-media
Mundfrom, D. J., Shaw, D. G., & Ke, T. L. (2005). Minimum sample size recommendations for conducting factor analyses. International Journal of Testing, 5(2), 159–168. https://doi.org/10.1207/s15327574ijt0502_4
Nam, J., Ekinci, Y., & Whyatt, G. (2011). Brand equity, brand loyalty and consumer satisfaction. Annals of Tourism Research, 38(3), 1009–1030. https://doi.org/10.1016/j.annals.2011.01.015
Nie, C., & Zepeda, L. (2011). Lifestyle segmentation of US food shoppers to examine organic and local food consumption. Appetite, 57(1), 28–37. https://doi.org/10.1016/j.appet.2011.03.012
Niezgoda, A., & Kowalska, K. (2020). Sharing economy and lifestyle changes, as exemplified by the tourism market. Sustainability, 12(13), 5351. https://doi.org/10.3390/su12135351
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879. https://doi.org/10.1037/0021-9010.88.5.879
Rahmayani, I. (2015). Indonesia raksasa teknologi digital Asia. https://www.kominfo.go.id/content/detail/6095/indonesiaraksasa-teknologi-digital-asia/0/sorotan_media
Roberts, K., Cade, J., Dawson, J., & Holdsworth, M. (2018). Empirically derived dietary patterns in UK adults are associated with sociodemographic characteristics, lifestyle, and diet quality. Nutrients, 10(2), 1–17. https://doi.org/10.3390/nu10020177
Sammut‐Bonnici, T. (2015). Brand and branding. In Wiley Encyclopedia of Management (pp. 1–3). Wiley. https://doi.org/10.1002/9781118785317.weom120161
Sangle, P. S., & Awasthi, P. (2011). Consumer’s expectations from mobile CRM services: A banking context. Business Process Management Journal, 17(6), 898–918. https://doi.org/10.1108/14637151111182684
Sanquist, T. F., Orr, H., Shui, B., & Bittner, A. C. (2012). Lifestyle factors in US residential electricity consumption. Energy Policy, 42, 354–364. https://doi.org/10.1016/j.enpol.2011.11.092
Saprikis, V., Markos, A., Zarmpou, T., & Vlachopoulou, M. (2018). Mobile shopping consumers’ behavior: An exploratory study and review. Journal of Theoretical Applied Electronic Commerce Research, 13(1), 71–90. https://doi.org/10.4067/S0718-18762018000100105
Sharma, P., Singh, S., & Misra, R. (2020). Wine-related lifestyle segmentation in the context of urban Indian consumers. International Journal of Wine Business Research, 32(4). https://doi.org/10.1108/IJWBR-05-2019-0036
Shepard, W. (2016). How “made in China” became cool. Forbes. https://www.forbes.com/sites/wadeshepard/2016/05/22/howmade-in-china-became-cool/#1eae713f77a4
Siahtiri, V., & Lee, W. J. (Thomas). (2019). How do materialists choose prominent brands in emerging markets? Journal of Retailing Consumer Services, 46, 133–138. https://doi.org/10.1016/j.jretconser.2017.08.021
Sinclair, G., & Tinson, J. (2017). Psychological ownership and music streaming consumption. Journal of Business Research, 71, 1–9. https://doi.org/10.1016/j.jbusres.2016.10.002
Szakaly, Z., Popp, J., Kontor, E., Kovacs, S., Pető, K., & Jasak, H. (2017). Attitudes of the lifestyle of health and sustainability segment in Hungary. Sustainability, 9(10), 1763. https://doi.org/10.3390/su9101763
Thogersen, J. (2017). Sustainable food consumption in the nexus between national context and private lifestyle: A multi-level study. Food Quality and Preference, 55, 16–25. https://doi.org/10.1016/j.foodqual.2016.08.006
Uddin, M. R., Lopa, N. Z., & Oheduzzaman, M. (2014). Factors affecting customers’ buying decisions of mobile phone: A study on Khulna City, Bangladesh. International Journal of Managing Value and Supply Chains, 5(2), 21–28. https://doi.org/10.5121/ijmvsc.2014.5203
Van Huy, L., Chi, M. T. T., Lobo, A., Nguyen, N., & Long, P. H. (2019). Effective segmentation of organic food consumers in Vietnam using food-related lifestyles. Sustainability, 11(5), 1237. https://doi.org/10.3390/su11051237
Viljoen, A. T., van der Spuy, E., & du Rand, G. E. (2018). Food consumption, lifestyle patterns, and body mass index of a group of white South African students. International Journal of Consumer Studies, 42(5), 533–546. https://doi.org/10.1111/ijcs.12465
Volodzko, D. (2015). How “made in China” became a stigma. The Diplomat. https://thediplomat.com/2015/07/how-made-inchina-became-a-stigma/
Wang, R. J.-H., Malthouse, E. C., & Krishnamurthi, L. (2015). On the go: How mobile shopping affects customer purchase behavior. Journal of Retailing, 91(2), 217–234. https://doi.org/10.1016/j.jretai.2015.01.002
Weber, W., Reinhardt, A., & Rossmann, C. (2020). Lifestyle segmentation to explain the online health information–seeking behavior of older adults: Representative telephone survey. Journal of Medical Internet Research, 22(6), e15099. https://doi.org/10.2196/15099
Witzling, L., & Shaw, B. R. (2019). Lifestyle segmentation and political ideology: Toward understanding beliefs and behavior about local food. Appetite, 132, 106–113. https://doi.org/10.1016/j.appet.2018.10.003
Yeo, G. E., Cho, M.-S., & Oh, J. (2020). Food-related lifestyle segmentation and beverage attribute’ selection: Toward understanding of sugar-reduced beverages choice. British Food Journal, 122(12), 3663–3677. https://doi.org/10.1108/BFJ-10-2019-0817
Yu, C.-S. (2011). Construction and validation of an e-lifestyle instrument. Internet Research, 21(3), 214–235. https://doi.org/10.1108/10662241111139282
Yu, C.-S. (2015). Using e-lifestyle to analyze mobile banking adopters and non-adopters. Journal of Global Information Technology Management, 18(3), 188–213. https://doi.org/10.1080/1097198X.2015.1070619
Yunus, N. S. N. M., & Rashid, W. E. W. (2016). The influence of country-of-origin on consumer purchase intention: The mobile phones brand from China. Procedia Economics Finance, 37, 343–349. https://doi.org/10.1016/S2212-5671(16)30135-6
Yusuf, O. (2017). Daftar 5 besar merek smartphone di Indonesia. Kompas.Com. http://tekno.kompas.com/read/2017/11/23/08410067/daftar-5-besar-merek-smartphone-di-indonesia
Zenker, S., & Braun, E. (2017). Questioning a “one size fits all” city brand: Developing a branded house strategy for place brand management. Journal of Place Management Development, 10(3), 270–287. https://doi.org/10.1108/JPMD-04-2016-0018
Zeugner-Roth, K. P., & Žabkar, V. (2015). Bridging the gap between country and destination image: Assessing common facets and their predictive validity. Journal of Business Research, 68(9), 1844–1853. https://doi.org/10.1016/j.jbusres.2015.01.012