Digital Transformation and Artificial Intelligence in Marketing for Startups Using a Customer Knowledge Management Approach

(1) * Syekh Idrus Mail ()
*corresponding author

Abstract


Startups that need a comprehensive approach to managing Knowledge Management (KM) in a digital context face a significant challenge in taking advantage of the opportunities presented by digital transformation and artificial intelligence (AI) technologies, which are reshaping marketing organizations. There is a pressing need for more strategic marketing expertise to drive business value creation, and digital transformation and AI technologies offer great promise to help businesses overcome obstacles, challenges in practical application, and this shortage. In this paper, we take a resource-centric look at a central question: how can young companies with few resources and few employees push digital transformation in marketing forward? Integrating the methods of Knowledge Management and Customer Relationship Management (CRM), as in Customer Knowledge Management (CKM), can be crucial to achieving this objective. This study uses a qualitative approach with descriptive methods to analyze the research results. This research reveals that companies with limited capabilities and resources can still adopt technological developments in conducting marketing. Marketing departments can benefit from the big data that AI provides by mining it for useful customer insights that can be used to bolster customer relationship management strategies. Organizational factors such as customer focus, a culture of collaboration and knowledge sharing, strategy and support from top management, an organized structure, and the integration of functions are crucial to the success of CKM in the business.


Keywords


Digital Transformation; Artificial Intelligence; Marketing; Customer Knowledge Management; Startup.

   

DOI

https://doi.org/10.29099/ijair.v6i1.1.698
      

Article metrics

10.29099/ijair.v6i1.1.698 Abstract views : 178

   

Cite

   

References


Adamides, E. D. (2015). Linking operations strategy to the corporate strategy process: a practice perspective. Business Process Management Journal.

Battisti, E., Alfiero, S., Quaglia, R., & Yahiaoui, D. (2022). Financial performance and global start-ups: the impact of knowledge management practices. Journal of International Management, 28(4), 100938.

Casalino, N., Saso, T., Borin, B., Massella, E., & Lancioni, F. (2020). Digital competences for civil servants and digital ecosystems for more effective working processes in public organizations. In Digital Business Transformation (pp. 315–326). Springer.

Cielen, D., & Meysman, A. (2016). Introducing data science: big data, machine learning, and more, using Python tools. Simon and Schuster.

Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.

Dalmarco, G., Maehler, A. E., Trevisan, M., & Schiavini, J. M. (2017). The use of knowledge management practices by Brazilian startup companies. RAI Revista de Administração e Inovação, 14(3), 226–234.

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.

Denzin, N. K. (2008). Strategies of qualitative inquiry (Vol. 2). Sage.

Ebrahimi, P., Khajeheian, D., & Fekete-Farkas, M. (2021). A SEM-NCA approach towards social networks marketing: Evaluating consumers’ sustainable purchase behavior with the moderating role of eco-friendly attitude. International Journal of Environmental Research and Public Health, 18(24), 13276.

Fatihah, D. C., & Saidah, I. S. (2021). Model Promosi Marketplace Berbasis Artificial Inteligence (AI) di Indonesia. JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis Dan Inovasi Universitas Sam Ratulangi)., 8(3).

Gončarovs, P. (2017). Data analytics in crm processes: A literature review. Information Technology and Management Science, 20(1), 103–108.

Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.

Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46.

Kalalo, R. E. (2013). Customer relationship management dan kualitas pelayanan pengaruhnya terhadap loyalitas konsumen PT. Matahari Dept. Store, Manado. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 1(4).

Kearns, G. S., & Lederer, A. L. (2003). A resource‐based view of strategic IT alignment: how knowledge sharing creates competitive advantage. Decision Sciences, 34(1), 1–29.

Kumar, V. (2018). Transformative marketing: The next 20 years. In Journal of Marketing (Vol. 82, Issue 4, pp. 1–12). SAGE Publications Sage CA: Los Angeles, CA.

Kumra, R., & Arora, S. (2022). Digital Sensory Marketing Factors Affecting Customers’ Intentions to Continue Organic Online Purchases during COVID in India. FIIB Business Review, 23197145221105670.

Lestari, E. R. (2019). Manajemen Inovasi: Upaya Meraih Keunggulan Kompetitif. Universitas Brawijaya Press.

Li, L., Su, F., Zhang, W., & Mao, J. (2018). Digital transformation by SME entrepreneurs: A capability perspective. Information Systems Journal, 28(6), 1129–1157.

Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937–947.

McCampbell, A. S., Clare, L. M., & Gitters, S. H. (1999). Knowledge management: the new challenge for the 21st century. Journal of Knowledge Management.

Miklosik, A., & Evans, N. (2020). Impact of big data and machine learning on digital transformation in marketing: A literature review. Ieee Access, 8, 101284–101292.

Nwankpa, J. K., Roumani, Y., & Datta, P. (2021). Process innovation in the digital age of business: the role of digital business intensity and knowledge management. Journal of Knowledge Management.

Pantano, E., Giglio, S., & Dennis, C. (2018). Making sense of consumers’ tweets: Sentiment outcomes for fast fashion retailers through Big Data analytics. International Journal of Retail & Distribution Management.

Panuju, R. (2019). Komunikasi pemasaran: pemasaran sebagai gejala komunikasi komunikasi sebagai strategi pemasaran. Prenada Media.

Prahalad, C. K., & Ramaswamy, V. (2004). Co-creation experiences: The next practice in value creation. Journal of Interactive Marketing, 18(3), 5–14.

Sagala, T. W., Manapa, E. A., Ardhana, V. Y. P., & Lewakabessy, G. (2020). Perbandingan Implementasi Manajemen Pengetahuan pada Berbagai Industri. JTIM: Jurnal Teknologi Informasi Dan Multimedia, 1(4), 327–335.

Schweyer, A. (2018). Predictive analytics and artificial intelligence in people management. Incentive Research Foundation, 1–18.

Stefanou, C. J., Sarmaniotis, C., & Stafyla, A. (2003). CRM and customer‐centric knowledge management: an empirical research. Business Process Management Journal.

Sterne, J. (2017). Artificial intelligence for marketing: practical applications. John Wiley & Sons.

Sudarsono, H. (2020). Manajemen Pemasaran. Pustaka Abadi.

Suwarno, D. J., & Silvianita, A. (2017). Knowledge Sharing Dan Inovasi Pada Industri Startup. Jurnal Ecodemica, 1(1), 98–106.

Truby, J., Brown, R., & Dahdal, A. (2020). Banking on AI: mandating a proactive approach to AI regulation in the financial sector. Law and Financial Markets Review, 14(2), 110–120.

Vlačić, B., Corbo, L., e Silva, S. C., & Dabić, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda. Journal of Business Research, 128, 187–203.

Waguespack, D. M., & Fleming, L. (2009). Scanning the commons? Evidence on the benefits to startups participating in open standards development. Management Science, 55(2), 210–223.

Ziółkowska, M. J. (2021). Digital Transformation and Marketing Activities in Small and Medium-Sized Enterprises. Sustainability 2021, 13, 2512. s Note: MDPI stays neutral with regard to jurisdictional claims in published.




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

________________________________________________________

International Journal Of Artificial Intelligence Research

Organized by: Departemen Teknik Informatika STMIK Dharma Wacana
Published by: STMIK Dharma Wacana
Jl. Kenanga No.03 Mulyojati 16C Metro Barat Kota Metro Lampung

Email: jurnal.ijair@gmail.com

View IJAIR Statcounter

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