Innovation influencer's identity supports micro entrepreneur in accelerating artificial intelligence adoption process

Indra Novianto Adibayu Pamungkas, Mileyanda Qurota A'yun, Supriatna Supriatna

Abstract


Background: Despite the rapid growth of Artificial Intelligence (AI) in marketing communication activity, many micro-entrepreneurs in Indonesia face a significant innovation gap characterized by technological stagnation and low technological proficiency. Adapting to the digital environment through AI-integrated visual marketing is now crucial for micro-business competitiveness. However, adoption remains challenging due to ingrained self-concepts and cultural barriers in collective societies like Indonesia. Purpose: This study aims to identify the communication identities underlying AI adoption rates among micro-entrepreneurs and to formulate a framework to accelerate the diffusion of innovation. Methods: This study used a qualitative approach and conducted interviews with 28 micro-entrepreneurs who attended the AI Visual Promotion Content workshop. Data was analyzed using NVivo 12 Pro software and linked to Diffusion and Innovation by Rogers’ and Communication Theory of Identity from Hecht’s in the discussion. Results: 69 % of participants in this study are positioned as Late Majority Level, while the rest are in Early Majority. The adoption can be influence by the presence of innovation influencer from among them to accelerate AI Adoption. All the informants considered that the training and workshop is the moment of truth for them as a critical turning point to adopt AI to support their promotional content. Besides, it is also the time to move from the fear of being left behind. Conclusion: This investigation presents a new archetype, “The Innovation Influencer,” that comes from the local community of micro-entrepreneurs. This new terminology comes from the identity traits that show as open growth-mindset, initiative, goal orientation, and self-acceptance as their main personal characteristics. Implications: The presence of an innovation influencer in the community becomes the bandwagon effect, contributing to the transformation of the change attitude from skeptic become active adoption in the microbusiness ecosystem.


Keywords


AI Adoption; communication identity; innovation diffusion; innovation influencer; MSMe

Full Text:

PDF

References


Aditiya, A. A. R. (2025). UMKM dan digitalisasi: Peluang atau ancaman? bisnisdigital.umsida.ac.id. https://bisnisdigital.umsida.ac.id/digitalisasi-umkm-peluang-atau-ancaman/

Al-Dhaen, F., Hou, J., Rana, N. P., & Weerakkody, V. (2023). Advancing the understanding of the role of responsible AI in the continued use of IoMT in Healthcare. Information Systems Frontiers, 25(6), 2159–2178. https://doi.org/10.1007/s10796-021-10193-x

Almufareh, M. F., Kausar, S., Humayun, M., & Tehsin, S. (2024). A conceptual model for inclusive technology: Advancing disability inclusion through artificial intelligence. Journal of Disability Research, 3(1), 1–11. https://doi.org/10.57197/JDR-2023-0060

Arnesen, S., Johannesson, M. P., Linde, J., & Dahlberg, S. (2018). Do polls influence opinions? investigating poll feedback loops using the novel dynamic response feedback experimental procedure. Social Science Computer Review, 36(6), 735–743. https://doi.org/10.1177/0894439317731721

Azizah, N. (2022). Survei: UMKM bertahan selama pandemi dengan platform digital (survey: MSMEs survive during the pandemic with digital platforms). ekonomi.republika.co.id. https://ekonomi.republika.co.id/berita/r2pyqd463/survei-umkm-bertahan-selama-pandemi-dengan-platform-digital

Bazeley, P. ;, & Jackson, K. (2013). Qualitative data analysis with NVIVO (1st ed.). Sage Publications.

BRIN. (2025). BRIN soroti rendahnya adopsi teknologi digital oleh UMKM Indonesia. brin.go.id. https://brin.go.id/news/124058/brin-soroti-rendahnya-adopsi-teknologi-digital-oleh-umkm-indonesia

Canning, E. A., Murphy, M. C., Emerson, K. T. U., Chatman, J. A., Dweck, C. S., & Kray, L. J. (2020). Cultures of genius at work: organizational mindsets predict cultural norms, trust, and commitment. Personality and Social Psychology Bulletin, 46(4), 626–642. https://doi.org/10.1177/0146167219872473

Chan, C. K. Y., & Zhou, W. (2023). An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI. Smart Learning Environments, 10(1), 1–22. https://doi.org/10.1186/s40561-023-00284-4

Cruz-González, C., Rodríguez, C. L., & Segovia, J. D. (2021). A systematic review of principals’ leadership identity from 1993 to 2019. Educational Management Administration & Leadership, 49(1), 31–53. https://doi.org/10.1177/1741143219896053

Dahal, J., Prasad, P. W. C., Maag, A., Alsadoon, A., & Hoe, L. S. (2018). The effect of culture and belief systems on students’ academic buoyancy. Education and Information Technologies, 23(4), 1465–1482. https://doi.org/10.1007/s10639-017-9672-4

Dao Cam, T., Le Truc, C., Nguyen Thai, C., Tran Thanh, H., Nguyen Thi Mai, C., & Tran Hoang, T. (2025). The effect of visual marketing on customer attention and revisit intentions at coffee shops in popular tourist destinations in Vietnam. Innovative Marketing, 21(3), 47–59. https://doi.org/10.21511/im.21(3).2025.04

Dearing, J. W., & Cox, J. G. (2018). Diffusion of innovations theory, principles, and practice. Health Affairs, 37(2), 183–190. https://doi.org/10.1377/hlthaff.2017.1104

Doshi, A. R. (2025). Diffusion with generational cohorts. Industry and Innovation, 32(3), 281–306. https://doi.org/10.1080/13662716.2024.2377706

Duong, C. D., Ta, V. L., & Nguyen, T. H. (2025). How AI-related drivers stimulate digital social entrepreneurship: An integrated framework of entrepreneurial event model within stimulus-organism-response theory. Digital Business, 5(2), 1–12. https://doi.org/10.1016/j.digbus.2025.100142

Eastman, J. K., Iyer, R., Shepherd, C. D., Heugel, A., & Faulk, D. (2018). Do they shop to stand out or fit in? The luxury fashion purchase intentions of young adults. Psychology & Marketing, 35(3), 220–236. https://doi.org/10.1002/mar.21082

Frei-Landau, R., Muchnik-Rozanov, Y., & Avidov-Ungar, O. (2022). Using Rogers’ diffusion of innovation theory to conceptualize the mobile-learning adoption process in teacher education in the COVID-19 era. Education and Information Technologies, 27(9), 12811–12838. https://doi.org/10.1007/s10639-022-11148-8

Giroux, M., Kim, J., Lee, J. C., & Park, J. (2022). Artificial intelligence and declined guilt: Retailing morality comparison between human and AI. Journal of Business Ethics, 178(4), 1027–1041. https://doi.org/10.1007/s10551-022-05056-7

Hamanaka, S. (2018). Sensitivity to casualties in the battlefield: The case of Israel. Asian Journal of Comparative Politics, 3(1), 46–60. https://doi.org/10.1177/2057891117725209

Henry, M., Hoogenstrijd, T., & Kirchherr, J. (2023). Motivations and identities of “grassroots” circular entrepreneurs: An initial exploration. Business Strategy and the Environment, 32(3), 1122–1141. https://doi.org/10.1002/bse.3097

Jung, E., & Hecht, M. L. (2004). Elaborating the communication theory of identity: Identity gaps and communication outcomes. Communication Quarterly, 52(3), 265–283. https://doi.org/10.1080/01463370409370197

Kamberidou, I. (2020). “Distinguished” women entrepreneurs in the digital economy and the multitasking whirlpool. Journal of Innovation and Entrepreneurship, 9(1), 1–26. https://doi.org/10.1186/s13731-020-0114-y

Lee, B., & Park, S.-K. (2022). A study on the competitiveness for the diffusion of smart technology of construction industry in the era of 4th industrial revolution. Sustainability, 14(14), 1–20. https://doi.org/10.3390/su14148348

Li, D., Wang, H., & Wang, J. (2024). Artificial intelligence and technological innovation: Evidence from China’s strategic emerging industries. Sustainability, 16(16), 7226. https://doi.org/10.3390/su16167226

Littlejohn, S. W., & Foss, K. A. (2008). Theories Human Communications (9th ed.). Thomson Wadsworth.

Lugo-Morin, D. R. (2017). Ethnocompetitiveness, relations, and networks: Towards rural sustainability. Development in Practice, 27(7), 1020–1032. https://doi.org/10.1080/09614524.2017.1353589

Lund, B., Omame, I., Tijani, S., & Agbaji, D. (2020). erceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations’ adopter categories. College & Research Libraries, 81(5), 1–18. https://doi.org/10.5860/crl.81.5.865

Luo, Y., Yang, D., & Jiang, H. (2025). Linking AI with internal communication: A systematic review. In Y. Cheng & D. Verčič (Eds.), AI and Strategic Communication (pp. 125–148). Wiley. https://doi.org/10.1002/9781394275434.ch6

Matthews, J. R. (2017). Understanding indigenous innovation in Rural West Africa: Challenges to diffusion of innovations theory and current social innovation practice. Journal of Human Development and Capabilities, 18(2), 223–238. https://doi.org/10.1080/19452829.2016.1270917

Mhlanga, D. (2022). Human-centered artificial intelligence: The superlative approach to achieve sustainable development goals in the fourth industrial revolution. Sustainability, 14(13), 7804. https://doi.org/10.3390/su14137804

Miranda, M., Pereda, M., Sánchez, A., & Estrada, E. (2024). Indirect social influence and diffusion of innovations: An experimental approach. PNAS Nexus, 3(10), 1–11. https://doi.org/10.1093/pnasnexus/pgae409

Mohamed, A. O. (2024). The effect of simulating virtual scenes using artificial intelligence techniques in producing various media materials. Journal of Ecohumanism, 3(8), 816–836. https://doi.org/10.62754/joe.v3i8.4771

Nevi, G., Pizzichini, L., Bastone, A., & Dezi, L. (2025). Adoption of AI by micro and small health enterprises: Effects of entrepreneurial orientation on the TOE model. European Journal of Innovation Management, 28(11), 209–241. https://doi.org/10.1108/EJIM-07-2024-0770

Nur, F. T., Andreas, R., & Liang, C. W. (2025). Managing value proposition of small medium enterprise through digital business communication. Jurnal Manajemen Komunikasi, 9(2), 153–173. https://doi.org/10.24198/jmk.v9i2.62057

Oumlil, A. Ben, & Balloun, J. L. (2017). Cultural variations and ethical business decision making: A study of individualistic and collective cultures. Journal of Business & Industrial Marketing, 32(7), 889–900. https://doi.org/10.1108/JBIM-08-2016-0194

Palmer-Wackerly, A. L., Dailey, P. M., Krok-Schoen, J. L., Rhodes, N. D., & Krieger, J. L. (2018). Patient perceptions of illness identity in cancer clinical trial decision-making. Health Communication, 33(8), 1045–1054. https://doi.org/10.1080/10410236.2017.1331189

Pamungkas, I. N. A., Ali, D. S. F., & Dananjaya, I. kadek A. (2026). Identity comfort as the primary driver of TikTok acceptance small business owners. Bricolage: Jurnal Magister Ilmu Komunikasi, 12(1), 307. https://doi.org/10.30813/bricolage.v12i1.9794

Pamungkas, I. N. A., Pramiyanti, A., & Sugandi, M. S. (2025). Applying a diffusion innovation theory to identify novelty in communication research. Cogent Social Sciences, 11(1), 1–16. https://doi.org/10.1080/23311886.2025.2564782

Pinariya, J. M., Ikhsano, A., & Sutjipto, A. M. (2020). Accelerating diffusion innovation using celebrities as opinion leaders for millennials: HPV vaccines in Indonesia. Jurnal Komunikasi: Malaysian Journal of Communication, 36(3), 32–48. https://doi.org/10.17576/JKMJC-2020-3603-03

Rana, N. P., Chatterjee, S., Dwivedi, Y. K., & Akter, S. (2022). Understanding dark side of artificial intelligence (AI) integrated business analytics: Assessing firm’s operational inefficiency and competitiveness. European Journal of Information Systems, 31(3), 364–387. https://doi.org/10.1080/0960085X.2021.1955628

Rehman, A. ur. (2022). Consumers’ perceived value of luxury goods through the lens of Hofstede cultural dimensions: A cross‐cultural study. Journal of Public Affairs, 22(4). https://doi.org/10.1002/pa.2660

Reyes-Villalba, E., Reyes-Arco, R. E., & Maraza-Quispe, B. (2024). Educational practices and the use of artificial intelligence: A multifaceted analysis in the current context. Revista de Gestão Social e Ambiental, 18(8), 1–27. https://doi.org/10.24857/rgsa.v18n8-017

Rogers, E. (2003). Diffusion of innovation (5th ed.). Free Press.

Rohim, S. (2024). The utilization of YouTube by Gen Radio as content distribution alternative channel. Jurnal Manajemen Komunikasi, 9(1), 70–87. https://doi.org/10.24198/jmk.v9i1.53753

Sajadieh, S., Fattorini, L., Perrault, R., Gil, Y., Parli, V., Santarlasci, L., Pava, J., Maslej, N., Altman, R., Brynjolfsson, E., Brodley, C., Clark, J., Dignum, V., Kumar, V., Landay, J., Lyons, T., Manyika, J., Niebles, J. C., Shoham, Y., … Weld, D. (2026). The AI index 2026 annual report. AI Index Steering Committee, Institute for Human-Centered AI, Stanford University. https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf

Sandi, F. B. (2023). 5 permasalahan UMKM yang Sering terjadi dan solusinya (5 frequently occurring MSME problems and solutions). www.online-pajak.com. https://www.online-pajak.com/seputar-pph-final/permasalahan-umkm

Solberg, E., Traavik, L. E. M., & Wong, S. I. (2020). Digital mindsets: Recognizing and leveraging individual beliefs for digital transformation. California Management Review, 62(4), 105–124. https://doi.org/10.1177/0008125620931839

Spatola, N., & Macdorman, K. F. (2021). Why real citizens would turn to artificial leaders. Digital Government: Research and Practice, 2(3), 1–24. https://doi.org/10.1145/3447954

Susanti, R. (2025). UMKM di Jabar hadapi masalah struktural: Mindset, pasar, hingga digitalisasi. Bandung.Kompas.Com. https://bandung.kompas.com/read/2025/11/23/210500978/umkm-di-jabar-hadapi-masalah-struktural--mindset-pasar-hingga-digitalisasi

Sziklai, B. R., & Lengyel, B. (2022). Finding early adopters of innovation in social networks. Social Network Analysis and Mining, 13(1), 1–12. https://doi.org/10.1007/s13278-022-01012-5

Thangavel, P., & Chandra, B. (2024). Digital immigrants versus digital natives: Decoding their e-commerce adoption behavior. Sage Open, 14(4), 1–19. https://doi.org/10.1177/21582440241282437

Tubaro, P., Casilli, A. A., & Coville, M. (2020). The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence. Big Data & Society, 7(1), 1–12. https://doi.org/10.1177/2053951720919776

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022

Wang, C.-J., & Zhu, J. J. H. (2019). Jumping onto the bandwagon of collective gatekeepers: Testing the bandwagon effect of information diffusion on social news website. Telematics and Informatics, 41(February), 34–45. https://doi.org/10.1016/j.tele.2019.03.001

Weaver, M. S., Hinds, P., Kellas, J. K., & Hecht, M. L. (2021). Identifying as a good parent: Considering the communication theory of identity for parents of children receiving palliative care. Journal of Palliative Medicine, 24(2), 305–309. https://doi.org/10.1089/jpm.2020.0131

Wibowo, F., Agra, B., & Husain, F. (2021). Adopsi teknologi sebagai alternatif untuk peningkatan daya saing UMKM Surakarta pasca COVID-19. Journal of Management and Digital Business, 1(3), 135–143. https://doi.org/10.53088/jmdb.v1i3.262

Widiyanti, A., & Pamungkas, I. N. A. (2025). Communication identity of digital immigrant micro-entrepreneur in adapting to promotional innovation. Jurnal Manajemen Komunikasi, 9(2), 238–259. https://doi.org/10.24198/jmk.v9i2.58147

Wirati, T. W., Krisnawanti, K., Gustaji, A. V., & Kharisma, Y. (2025). Optimasi artificial intelligent search engine untuk pemasaran digital di Jawa Barat. Jurnal Bisnis Dan Pemasaran, 15(1), 53–62.

Zou, B., Guan, X., Shao, Y., & Chen, P. (2023). Supporting Speaking Practice by Social Network-Based Interaction in Artificial Intelligence (AI)-Assisted Language Learning. Sustainability, 15(4), 2872. https://doi.org/10.3390/su15042872

Zulkifli, A. F. (2023). Applying the theory of diffusion of innovation to evaluate students’ acceptance of swimming courses online. Asian Journal of University Education, 19(2), 423–435. https://doi.org/10.24191/ajue.v19i2.22231




DOI: https://doi.org/10.24198/jmk.v10i2.69364

Refbacks

  • There are currently no refbacks.


Copyright (c) 2026 The Author(s)

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Jurnal Manajemen Komunikasi Indexed by:

  

Jurnal Manajemen Komunikasi

Fakultas Ilmu KomunikasiUniversitas Padjadjaran

Postgraduate Building, 2nd Floor, Faculty of Communication Sciences, Padjadjaran University

Jl. Ir. Soekarno Km. 21, Jatinangor, West Java 45363, Indonesia

Phone: +6288229381552 (WhatsApp Only)

Phone: +62227796954

Fax: +62227794122

Email: jurnal.manajemen.komunikasi@unpad.ac.id   


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

Jurnal Manajemen Komunikasi Supervised by:

 


View My Stats