Business Intelligence Framework for Mapping Analysis of Crafts Creative Industry Products Exports in West Java, Indonesia

Abstract

This paper aims to develop a framework model of a business intelligence system for mapping exports of the creative craft industry in West Java. The main problem is the lagging of the craft industry exports due to the lack of responsiveness in capturing export opportunities. In addition, the absence of a business intelligence system in the craft industry to analyze export mapping in the global market is why this study is important. The research methods used in this literature are data collection and consolidation, identification of information needs, and business intelligence framework design. The data studied in this study are primary data related to export sales of handicrafts in West Java in the form of exporter data, export commodity data (HS code), export trade transactions, export destination country data, and the total value and volume of exports. The proposed model is a BI framework for mapping the creative craft industry exports and the stages of the BI implementation process. Based on the results and discussion, the proposed BI framework design can provide a framework for implementing a business intelligence system to analyze the export mapping of handicraft products in West Java, Indonesia.


Keywords: Business Intelligence System (BIS), decision support system, mapping analysis of craft product exports, craft business indicators

References
[1] Asmoro T, Rodoni R, Meirinaldi M. Factors affecting export performance indonesian fashion creative industry. 2022;

[2] Wang J. Research on the influencing factors of Chinese culture creative products export. Proc 7th Int Conf Econ Manag Law Educ (EMLE 2021). 2022;649.

[3] De Beukelaer C. Creative industries in “developing” countries: Questioning country classifications in the UNCTAD creative economy reports. Cult Trends. 2014;23(4):232–51.

[4] Kompas.com. Jokowi: Indonesia Tertinggal dari Negara Lain dalam Menangkap Peluang Ekspor. 2020.

[5] Merdeka.com. Jokowi: RI Masih Sangat Tertinggal dalam Menangkap Peluang Ekspor. 2020.

[6] Kontan.co.id. Sinergitas Antar Instansi Dorong Pemulihan Pasar Ekspor Produk Kreatif. 2020.

[7] Disperindag. Data Ekspor Kerajinan Provinsi Jawa Barat. Bandung; 2020.

[8] Najafi-Tavani S, Najafi-Tavani Z, Naudé P, Oghazi P, Zeynaloo E. How collaborative innovation networks affect new product performance: Product innovation capability, process innovation capability, and absorptive capacity. Industrial Marketing Management. 2018;73:193–205.

[9] Ginting G. Collaborative network: Bringing co-innovation to competitive creative industries in the ASEAN economic community. Review of Integrative Business and Economics Research. 2019;8(1):85–98.

[10] Tavera Romero CA, Ortiz JH, Khalaf OI, Prado AR. Business intelligence: business evolution after industry 4.0. Sustain. 2021;13(18).

[11] Nyanga C, Pansiri J, Chatibura D. Enhancing competitiveness in the tourism industry through the use of business intelligence: A literature review. Journal of Tourism Futures. 2020;6(2):139–151.

[12] Scholtz B, Calitz A, Haupt R. A business intelligence framework for sustainability information management in higher education. International Journal of Sustainability in Higher Education. 2018;19(2):266–290.

[13] Foshay N, Kuziemsky C. Towards an implementation framework for business intelligence in healthcare. International Journal of Information Management. 2014;34(1):20–27.

[14] Prayitno D. Application of business intelligence for banking performance based on products analysis. International Journal of Progressive Sciences and Technologies. 2018;6(2):554–569.

[15] Vajirakachorn T, Chongwatpol J. Application of business intelligence in the tourism industry: A case study of a local food festival in Thailand. Tourism Management Perspectives. 2017;23:75–86.

[16] Olszak CM, Ziemba E. Approach to building and implementing Business Intelligence systems. Interdisciplinary Journal of Information, Knowledge, and Management. 2007;2:135–148.

[17] Vizgaitytė G, Rimvydas S. Business intelligence in the process of decision making: Changes and trends. Ekonomika. 2012;91(3):147–157.

[18] Saragih EH, Bayupati IPA, Putri GAA. Pengembangan Business Intelligence Dashboard untuk Monitoring Aktivitas Pariwisata (Studi Kasus: Dinas Pariwisata Provinsi Bali). Jurnal Teknologi Informasi dan Ilmu Komputer 2021;8(6):1159.

[19] Rafi KA, S.M.K Q. Business intelligence : An integrated approach. Business Intelligence Journal. 2012;5(1):64–70.

[20] Adamson C. Star schema - The complete reference. The McGraw-Hill. McGraw-Hill; 2010. p. 513.

[21] Orlovskyi D, Kopp A. A business intelligence dashboard design approach to improve data analytics and decision making. Inf Technol Interact 163. 2020.

[22] Gowthami K, Kumar MRP. Study on business intelligence tools for enterprise dashboard development. International Research Journal of Engineering and Technology. 2017;4(4):2987–2992.