IMPLEMENTATION OF UTILITARIAN BEHAVIOR BASED ARTIFICIAL INTELLIGENCE IN THE CASHLESS CAN BE FUN MARKETING PROGRAM
DOI:
https://doi.org/10.35794/jmbi.v10i1.46938Abstract
The researcher examined one of the companies engaged in the Food and beverage retail industry in the Coffee shop field. Product distribution is carried out through offline stores and e-commerce. This research is conducted to find weaknesses and contribute by proposing a program. The method for analyzing this research is qualitative by direct observation, in-depth interviews, documentation collection, and the company's secondary data. The study was conducted through the marketing division. Based on the research conducted, it was found that the problems obtained were in the aspect of product presentation, which was considered ineffective and efficient. Based on the existing weaknesses, he contributed by proposing a program with the title Cashless Can be Fun. This program implements Artificial Intelligence with partners who work with Artificial Intelligence-based applications. This application encourages consumers to place orders and payments at the desk cashlessly. The aim is to provide comfort, satisfaction, and valuable experience to consumers, especially consumers with Utilitarian tendencies. The application of Artificial Intelligence can maximize functionality to satisfy consumers with Utilitarian tendencies.
References
Akram, U., Junaid, M., Zafar, A. U., Li, Z., & Fan, M. (2021). Online purchase intention in Chinese social commerce platforms: Being emotional or rational? Journal of Retailing and Consumer Services, 63, 102669. doi:10.1016/j.jretconser.2021.102669
Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). Customer Satisfaction, Market Share, and Profitability: Findings from Sweden. Journal of Marketing, 58(3), 53–66.
Anhar, Z. S., Marsasi, E. G. (2022). Strategy to Maintain Business in Parikesit Sisingamangaraja Block Cake Shop with Business Model Canvas Approach. Journal of Innovation. Journal of Business Innovation and Indonesian Management. Vol. 05 No. 02.
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value. Journal of Consumer Research, 20(4), 644. doi:10.1086/209376
Babin, B. J., Feng, C., & Borges, A. (2021). As the wheel turns toward the future of retailing. Journal of Marketing Theory and Practice, 29(1), 78–91. doi:10.1080/10696679.2020.1860688
Berezina, K., Ciftci, O., & Cobanoglu, C. (2019). Robots, Artificial Intelligence, and Service Automation in Restaurants. Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality, 185–219. doi:10.1108/978-1-78756-687-320191010
Brill, T. M., Munoz, L., & Miller, R. J. (2019). Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications. Journal of Marketing Management, 1–36. doi:10.1080/0267257x.2019.1687571
Chaffey, D. Ellis, C.F. (2019). Digital Marketing Strategy, Implemention, and Practice: Seventh Edition. New York: Pearson City.
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. doi:10.1016/s0022-4359(01)00056-2
Creswell, J.W., Creswell, J.D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches ( Fifth Edition ). Los Angeles: SAGE.
Davari, M., Noursalehi, P., & Keramati, A. (2018). Data mining approach to professional education market segmentation: a case study. Journal of Marketing for Higher Education, 1–22. doi:10.1080/08841241.2018.1545724
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2019). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science.
Desty Menu. 2022. Data Marketing. Marketing
Eldh, A. C., Årestedt, L., & Berterö, C. (2020). Quotations in Qualitative Studies: Reflections on Constituents, Custom, and Purpose. International Journal of Qualitative Methods, 19.
Gareche, M., Mahmoud, H. S., & Taheri, M. (2017). A Comprehensive Literature Review in Competitive Advantages of Businesses. International Journal of Advanced Studies in Humanities and Social Science (IJASHSS). Vol. 6, Issues 4, 312-329.
Grewal, D., Hulland, J., Kopalle, P. K., & Karahanna, E. (2019). The future of technology and marketing: a multidisciplinary perspective. Journal of the Academy of Marketing Science.
Hermann, E. (2021). Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective. Journal of Business Ethics.
Jaiswal, D., Kaushal, V., Singh, P. K., & Biswas, A. (2020). Green market segmentation and consumer profiling: a cluster approach to an emerging consumer market. Benchmarking: An International Journal, ahead-of-print(ahead-of-print). doi:10.1108/bij-05-2020-0247
Kansil, D. F., Tulung, J. E., & Pandowo, M. H. C. (2022). Antecedent Peer-To-Peer Lending Investment Intention In Manado. JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis Dan Inovasi Universitas Sam Ratulangi)., 9(1). https://doi.org/10.35794/jmbi.v9i2.42345
Keiningham, T., Aksoy, L., Bruce, H. L., Cadet, F., Clennell, N., Hodgkinson, I.R., & Kearney, T. (2019). Customer experience driven business model innovation. Journal of Business Research. doi:10.1016/j.jbusres.2019.08.
Kotler, P.T., Armstrong, G. (2020). Principle of Marketing (rental edition). New Jersey: Pearson Pertice Hall.
Kotler, P.T., Keller, K.L. (2016). Marketing Management 15th edition. Upper Saddle Eiver, NJ: Pearson Education.
Kristiawan, A., Nursalin, K. K., Gunawan, I., & F.Yo, J. A. (2021). Pengaruh Pengalaman Berbelanja Online Terhadap Keputusan Pembelian Pelanggan (Segmen : Mahasiswa Fakultas Ekonomi Universitas Kristen Maranatha Pelanggan Shopee Dan Jd.Id). JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis Dan Inovasi Universitas Sam Ratulangi)., 8(2). https://doi.org/10.35794/jmbi.v8i2.35107
Li, J., Abbasi, A., Cheema, A., & Abraham, L. B. (2020). Path to Purpose? How Online Customer Journeys Differ for Hedonic Versus Utilitarian Purchases. Journal of Marketing, 002224292091162.
Liu, H., Huang, Y., Wang, Z., Liu, K., Hu, X., & Wang, W. (2019). Personality or Value: A Comparative Study of Psychographic Segmentation Based on an Online Review Enhanced Recommender System. Applied Sciences, 9(10), 1992. doi:10.3390/app9101992
Longoni, C., & Cian, L. (2020). Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The “Word-of-Machine” Effect. Journal of Marketing, 002224292095734.
Luffarelli, J., Stamatogiannakis, A., & Yang, H. (2018). The Visual Asymmetry Effect: An Interplay of Logo Design and Brand Personality on Brand Equity. Journal of Marketing Research, 56(1), 89–103. doi:10.1177/0022243718820548
Maciel, A. F., & Fischer, E. (2020). Collaborative Market Driving: How Peer Firms Can Develop Markets Through Collective Action. Journal of Marketing, 1-19.
Maleewat Nitirat. (2022). The Impact of Small Size Firm and Differentiation Strategy in the Niche Strategic Implementation on the Organizational Performance. Journal of Asian Administration and Management Review. Vol. 5, 17-28.
Naghi Ganji, E., Shah, S., & Coutroubis, A. (2018). An examination of product development approaches within demand driven chains. Asia Pacific Journal of Marketing and Logistics. doi:10.1108/apjml-02-2018-0042
Olson, E. M., Olson, K. M., Czaplewski, A. J., & Key, T. M. (2021). Business strategy and the management of digital marketing. Business Horizons, 64(2), 285–293.
Porter, M.E. (1998). Competitive Strategy : Techniques for Analyzing Industries and Competitors. New York : Free Press.
PT. Kala Bumi Tetap Membumi. 2022. Company Financial Statements. Semester 1. Finance.
Praveen K. Kopalle, Manish Gangwar, Andreas Kaplan, Divya Ramachandran, Werner Reinartz, Aric Rindfleisch, (2022). Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities, International Journal of Research in Marketing, Volume 39, Issue 2, Pages 522-540.
Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2020). Consumers and Artificial Intelligence: An Experiential Perspective. Journal of Marketing, 1-21.
Semuel, H., Siagian, H., & Octavia, S. (2017). The Effect of Leadership and Innovation on Differentiation Strategy and Company Performance. Procedia - Social and Behavioral Sciences, 237, 1152–1159.
Swaminathan, V., Sorescu, A., Steenkamp, J.-B. E. M., O’Guinn, T. C. G., & Schmitt, B. (2020). Branding in a Hyperconnected World: Refocusing Theories and Rethinking Boundaries. Journal of Marketing, 84(2), 24–46. doi:10.1177/0022242919899905
Taichon, S., Quach, S. (2022). Artificial Intelligence for Marketing Management. Routledge.
Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002.
Wind, Y., & Robertson, T. S. (1983). Marketing Strategy: New Directions for Theory and Research. Journal of Marketing, 47(2), 12–25.
Wong, L.-W., Tan, G. W.-H., Hew, J.-J., Ooi, K.-B., & Leong, L.-Y. (2020). Mobile social media marketing: a new marketing channel among digital natives in higher education? Journal of Marketing for Higher Education, 1–25. doi:10.1080/08841241.2020.1834




