Aligning Business Intelligence Research and Policy for MSME Development in Indonesia’s Smart City, IKN

Renita Kawuryan (), Prapdopo Prapdopo, Hendra Sanjaya Kusno and Aditya Rizqi Senoaji
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Renita Kawuryan: Politeknik Negeri Samarinda, Business Administration Department
Prapdopo Prapdopo: Politeknik Negeri Samarinda, Business Administration Department
Hendra Sanjaya Kusno: Politeknik Negeri Balikpapan, Business Department
Aditya Rizqi Senoaji: Politeknik Negeri Semarang, Accounting Department

A chapter in Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025), 2025, pp 153-162 from Springer

Abstract: Abstract Business intelligence (BI) holds strong potential to boost the competitiveness and adaptability of micro, small, and medium enterprises (MSMEs), particularly within the context of smart cities. This study investigates the role of BI in supporting MSME development in Indonesia’s new capital, Ibu Kota Nusantara (IKN), by examining the gap between academic research and national policy. A bibliometric analysis of 203 Scopus-indexed publications (2010–2025), conducted using VOSviewer, identified six main keyword clusters centered on innovation, decision-making, data analytics, and cloud-based tools, yet showed minimal focus on smart city or policy integration. Complementary content analysis of IKN policy documents revealed strong government support for digital infrastructure, open data platforms, and MSME participation, though references to BI remain limited. These findings highlight a disconnect between scholarly research and policy direction, while revealing strategic opportunities to align BI adoption with inclusive smart city goals. The study contributes to theory and practice by advocating stronger BI integration in MSME empowerment efforts within IKN’s digital ecosystem.

Keywords: Business Intelligence (BI); Digital Transformation; Ibu Kota Nusantara (IKN); Micro; Small; and Medium Enterprises (MSMEs); Smart City (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-938-4_19

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