MODEL ARTIFICIAL INTELLIGENCE BERBASIS RESOURCE BASE VIEW UNTUK MENCIPTAKAN KEUNGGULAN KOMPETITIF EKSPOR UMKM KOTA PONTIANAK

Mochammad Ridwan Ristyawan, Hansen Tandra
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Abstract

The performance of MSMEs is one of the leading indicators to increase Indonesia’s economic growth. Based on data from the Ministry of Industry of the Republic of Indonesia 2017, the contribution of MSMEs to GDP in the past five years reached 60.34%. Economic growth in Indonesia shows fluctuating values, controlled macroeconomic climate, but grew minimally. The cause of this factor is the contribution of Indonesia’s MSMEs are few in the global market and the lowest in ASEAN. Indonesian MSMEs have a low value of competitiveness because they have low-quality products. Based on the following problems, the formulation of a Resource Based-View (RBV) method is a mapping of company resources in improving the competitive advantages of MSMEs. RBV is formulated with the Artificial Intelligence model considered to be able to help map RBV practically. This type of research is qualitative research. The focus of the population and samples studied is Pontianak MSMEs, which already have export. The analysis technique used in this research is the Analytical Hierarchy Process (AHP) based on the latest RBV models to obtain strategic resources. The analysis was then developed into a basic framework of RBV-based Artificial Intelligence (AI). The result of the study is the creation of an RBV-based AI Framework designed to obtain strategic resources to be managed into a competitive advantage of the company

Keywords

Artificial Intelligence (AI); Resource Base View (RBV); MSMEs

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References

Buku

Ahmad, A. (2015). Sustaining Competitive Advantage Via Business Intelligence , Knowledge Management, and System Dynamics, Vol. 2A, United Kingdom: Emerald Group Publishing Limited. https://doi.org/10.1108/S1069-096420150000022014.

Asosiasi Penyelenggara Jasa Internet Indonesia. (2017). Hasil Survei dan Perilaku Pengguna Internet. Jakarta: APJII.

Griffin, R. W., & Ebert, R. J. (2006). Bisnis : Jilid Satu, Jakarta: Erlangga.

Haddoud, M. Y., Jones, P., & Newbery, R. (2018). SMEs Export Performance in Algeria: A Configuration Approach Abstract Notes, in Creating Entrepreneurial Space: Talking Through Multi-Voices, Reflections on Emerging Debates Contemporary Issues in Entrepreneurship Research, Vol. 9A, United Kingdom: Emerald Publishing Limited, https://doi.org/10.1108/S2040-72462018000009A006.

Kementerian Koperasi dan UMKM. (2017). UMKM Digital di Indonesia. Jakarta: Kementerian Koperasi dan UMKM.

Rivai, V. (2004). Manajemen Sumber Daya Manusia untuk Perusahaan dari Teori ke Praktik. Jakarta: PT Rajagrafindo Persada.

Saaty, T. L. (2003). Pengambilan Keputusan Bagi Para Pemimpin. Jakarta: PT Pustaka Binaman Pressindo, 2003.

Sanchez, R. (2008). A scientific critique of the resource-base view (RBV) in strategy theory, with competence-based remedies for the RBV's conceptual deficiencies and logic problems, in A Focused Issue on Fundamental Issues in Competence Theory Development (Research in Competence-Based Management, Vol. 4), Bingley: Emerald Group Publishing Limited. https://doi.org/10.1016/S1744-2117(08)04001-2.

Jurnal

Bottani, E., Centobelli, P., Gallo, M., & Kaviani, M. A. (2019). Modelling Wholesale Distribution Operations: An Artificial Intelligence Framework. Industrial Management & Data Systems, 119(4), May, https://doi.org/10.1108/IMDS-04-2018-0164.

Buckner, G. D., & Shah, V. (1993). Future Vision : Impacts of Artificial Intelligence on Organizational Success. Kybernetes, 22(2), Februari, pp. 40–50. https://doi.org/ 10.1108/eb005962.

Darcy, C., Hill, J., McCabe, TJ., and McGovern, P. (2014). A Consideration of Organisational Sustainability in the SME Context: A Resource-Based View and Composite Model. European Journal of Training and Development, Vol. 38, No. 5, Januari, pp. 398 – 414, https://doi.org/10.1108/EJTD-10-2013-0108.

Hao, M. (2000). Competitive Advantage And Firm Performance. Competitiveness Review: An International Business Journal, 10(2), pp. 15–32.

Hirsch, P. B. (2018). Voices and values Tie me to the mast : artificial intelligence & reputation risk management. Journal of Business Strategy, 39(1), Januari, pp. 61–64, https://doi.org/10.1108/JBS-11-2017-0160.

Panda D., & Reddy, S. (2016). Resource based view of internationalization : evidence from Indian commercial banks. Journal of Asia Business Studies, 10(1), Januari, pp. 41–60, https://doi.org/10.1108/JABS-10-2014-0082.

Rialti, R., Marzi, G., Ciappei, C., & Busso, D. (2019). Big Data and Dynamic Capabilities: A Bibliometric Analysis and Systematic Literature Review. Management Decision, 57(8), September, pp. 2052-2068, https://doi.org/10.1108/MD-07-2018-0821.

Rockwell, S. (2019). A Resource-Based Framework for Strategically Managing Identity. Journal of Organizational Change Management, 32 (1), February, pp. 80–102. https://doi.org/10.1108/JOCM-01-2018-0012.

Shannassy, T. O. (2008). Sustainable competitive advantage or temporary competitive advantage Improving understanding of an important strategy construc. Jurnal of Strategy and Management, 1(2), pp. 168–180, https://doi.org/10.1108/17554250810926357.

Sigalas, C., Economou, V.P., & Georgopoulos, N. B. (2013). Developing a measure of competitive advantage. Journal of Strategy and Management, 6(4), pp. 320–342. https://doi.org/10.1108/JSMA-03-2013-0015.

Internet

Fauzia, M. (2018). Genjot Ekspor dan Pertumbuhan Ekonomi, OJK Keluarkan Paket Kebijakan. (online). . (https://ekonomi.kompas.com/read/2018/08/16/070400226/genjot-ekspor-dan-pertumbuhan-ekonomi-ojk-keluarkan-paket-kebijakan, diakses 8 September 2018).

Kontan. (2018). Pemerintah Bakal Terbitkan Paket Kebijakan ke-16 soal tata niaga eks kebijakan ekspor dan Impor. (online). (https://nasional.kontan.co.id/news/pemerintah-bakal-terbitkan-paket-kebijakan-ke-16-soal-tata-niaga-ekspor-dan-impor, diakses 8 September 2018).

Wibowo, A. W. (2017). Sangat Minim Jumlah Eksportir Produk UMKM Tak Sampai 5 Persen. (online). (https://ekbis.sindonews.com/read/1174452/34/kinerja-ekspor-sektor-ukm-masih-rendah-1485420989, diakses 8 September 2018).

Dokumen Lainnya

Setiawan. (2008). Evaluasi Penerapan Teknologi Informasi di Perguruan Tinggi Swasta Yogyakarta dengan Menggunakan Model COBIT Framework. Seminar Nasional Aplikasi Teknologi Informasi (SNATI), Yogyakarta, 2008, ISSN: 1907-5022.

Stone, P., et all. (2016). Artificial Intelligence and Life in 2030, One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel, Stanford University, September. Doc: http://ai100.stanford.edu/2016-report.

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