Purpose of the study: This research was conducted with the aim of finding the pattern or model of the consumer journey, particularly the consumer decision-making processes for culinary products among the JKTFoodbang community on Instagram.
Methodology: The method used in this research is a qualitative method in which this research emphasizes the meaning and process rather than the results of an activity.
Main Findings: Social media is able to facilitate all stages in the consumer journey, particularly in the consumption process of culinary products.
Applications of this study: This research will contribute to the knowledge of the concept in Indonesia and technology. The results of this study can be beneficial for marketers, society and stakeholders. Which is Social media is able to facilitate all.
Novelty/Originality of this study: The diversity of information sources and content on social media provides more strength for consumers, particularly Millennials to make the consumption decisions of culinary products. Despite it has great potential, social media cannot stand alone in the context of facilitating all stages in the consumer journey, particularly for consumers of culinary products.
- Bakirtas, T., & Akpolat, A. G. (2018). The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries. Energy, 147, 110–121. https://doi.org/10.1016/j.energy.2018.01.011
- Bell, D., Hollows, J., & Jones, S. (2017). Campaigning culinary documentaries and the responsibilization of food crises. Geoforum, 84, 179–187. https://doi.org/10.1016/j.geoforum.2015.03.014
- Briandana, R., & Dwityas, N. A. (2019). Media Literacy: An Analysis of Social Media Usage among Millennials. International Journal of English Literature and Social Science, 4(2), 488–496. https://doi.org/10.22161/ijels.4.2.44
- Chewning, L. V, Lai, C.-H., & Doerfel, M. L. (2013). Organizational resilience and using information and communication technologies to rebuild communication structures. Management Communication Quarterly, 27(2), 237–263. https://doi.org/10.1177/0893318912465815
- Dwityas, N. A., & Briandana, R. (2017). Social media in the travel decision-making process. International Journal of Humanities and Social Sciences, 7(7), 291–292.
- Ellison, N. B., Gibbs, J. L., & Weber, M. S. (2015). The use of enterprise social network sites for knowledge sharing in distributed organizations: The role of organizational affordances. American Behavioral Scientist, 59(1), 103–123. https://doi.org/10.1177/0002764214540510
- Ertimur, B., & Coskuner-Balli, G. (2015). Navigating the institutional logic of markets: Implications for strategic brand management. Journal of Marketing, 79(2), 40–61. https://doi.org/10.1509/jm.13.0218
- Ghosh, D., Shah, J., & Swami, S. (2018). Product greening and pricing strategies of firms under green-sensitive consumer demand and environmental regulations. Annals of Operations Research, 1–30. https://doi.org/10.1007/s10479-018-2903-2
- Harrigan, P., Evers, U., Miles, M., & Daly, T. (2017). Customer engagement with tourism social media brands. Tourism Management, 59, 597–609. https://doi.org/10.1016/j.tourman.2016.09.015
- Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer brand engagement in social media: Conceptualization, scale development, and validation. Journal of Interactive Marketing, 28(2), 149–165. https://doi.org/10.1016/j.intmar.2013.12.002
- Horng, J.-S., Liu, C.-H., Chou, H.-Y., & Tsai, C.-Y. (2012). Understanding the impact of culinary brand equity and destination familiarity on travel intentions. Tourism Management, 33(4), 815–824. https://doi.org/10.1016/j.tourman.2011.09.004
- Hu, Y., Manikonda, L., & Kambhampati, S. (2014). What we Instagram: The first analysis of Instagram photo content and user types. Eighth International AAAI Conference on Weblogs and Social Media.
- Hudson, S., & Thal, K. (2013). The impact of social media on the consumer decision process: Implications for tourism marketing. Journal of Travel & Tourism Marketing, 30(1–2), 156–160. https://doi.org/10.1080/10548408.2013.751276
- Jankowski, N. W., & Jensen, K. B. (2002). A handbook of qualitative methodologies for mass communication research. London: Routledge. https://doi.org/10.4324/9780203409800
- Kamboj, S., Sarmah, B., Gupta, S., & Dwivedi, Y. (2018). Examining branding co-creation in brand communities on social media: Applying the paradigm of Stimulus-Organism-Response. International Journal of Information Management, 39, 169–185. https://doi.org/10.1016/j.ijinfomgt.2017.12.001
- Kartajaya, H. (2007). Hermawan kartajaya on marketing mix. Mizan Pustaka.
- Kim, H.-S. (2017). A semantic network analysis of big data regarding food exhibition at the convention center. Culinary Science and Hospitality Research, 23(3), 257–270. https://doi.org/10.20878/cshr.2017.23.3.024024024
- Kotler, P., Kartajaya, H., & Setiawan, I. (2016). Marketing 4.0: Moving from traditional to digital. John Wiley & Sons.
- Lindlof, T. R., & Taylor, B. C. (2011). Sensemaking: qualitative data analysis and interpretation. Qualitative Communication Research Methods, 3, 241–281.
- Mason, M. C., & Paggiaro, A. (2012). Investigating the role of festivals cape in culinary tourism: The case of food and wine events. Tourism Management, 33(6), 1329–1336. https://doi.org/10.1016/j.tourman.2011.12.016
- Mehra, T., Agarwal, I., & Swami, S. (2018). Ephemeral Marketing: Conceptualization and Measurement of its Effectiveness in the Restaurant Industry. Asian Journal of Management, 9(1), 87–91. https://doi.org/10.5958/2321-5763.2018.00013.6
- Merriam, S. B., & Tisdell, E. J. (2015). Qualitative research: A guide to design and implementation. John Wiley & Sons.
- Rekarti, E., & Doktoralina, C. M. (2017). Improving Business Performance: A Proposed Model for SMEs. European Research Studies Journal, 20(3), 613–623. https://doi.org/10.35808/ersj/732
- Ruiz-Molina, M.-E., Gil-Saura, I., & Berenguer-Contrí, G. (2014). Information and communication technology as a differentiation tool in restaurants. Journal of Foodservice Business Research, 17(5), 410–428. https://doi.org/10.1080/15378020.2014.967639
- Traud, A. L., Kelsic, E. D., Mucha, P. J., & Porter, M. A. (2011). Comparing community structure to characteristics in online collegiate social networks. SIAM Review, 53(3), 526–543. https://doi.org/10.1137/080734315
- Traver, C. G., & Laudon, K. C. (2008). E-commerce: business, technology, society. Pearson Prentice Hall/Pearson Education.
- Vaishnavi, V. K., & Kuechler, W. (2015). Design science research methods and patterns: innovating information and communication technology. Crc Press. https://doi.org/10.1201/b18448
- Van Bommel, E., Edelman, D., & Ungerman, K. (2014). Digitizing the consumer decision journey. McKinsey Quarterly, (June).
- Vázquez, S., Muñoz-García, Ó., Campanella, I., Poch, M., Fisas, B., Bel, N., & Andreu, G. (2014). A classification of user-generated content into consumer decision journey stages. Neural Networks, 58, 68–81. https://doi.org/10.1016/j.neunet.2014.05.026
- Zaphiris, P., & Ang, C. S. (2009). Social computing and virtual communities. CRC Press. https://doi.org/10.1201/9781420090437