Pengaruh Teknologi Big Data terhadap Financial Performance dan Competitive Advantage Studi pada Perusahaan Go Public di Indonesia Sektor Perbankan
DOI:
https://doi.org/10.47134/innovative.v2i2.24Keywords:
teknologi big data, financial performance, competitive advantageAbstract
Tujuan dari penelitian ini adalah untuk mengetahui seberapa besar pengaruh teknologi big data terhadap financial performance dan competitive advantage pada bank – bank di Indonesia yang sudah go public. Metode yang dipakai adalah kuantitatif dan memanfaatkan data sekunder. Dimana 43 bank di Indonesia yang go public berpartisipasi dalam penelitian ini sebagai populasi. Sedangkan sampel yang digunakan adalah sebanyak 20 bank. Setelah dilakukan pengambilan data, kemudian diolah dengan menggunakan analisis regresi robus melalui aplikasi R Studio. Studi ini menemukan bahwa teknologi big data tidak berdampak signifikan pada financial performance, bahwa teknologi big data berdampak signifikan pada competitive advantage, competitive advantage berdampak signifikan pada financial performance, dan bahwa teknologi big data berdampak signifikan pada financial performance dan competitive advantage yang bertindak sebagai variabel intervening.
References
Adur, M. D., Wiyani, W., & Ratri, A. M. (2019). Analisis Kinerja Keuangan Perusahaan Rokok. Jurnal Bisnis Dan Manajemen, 5(2), 204–212. https://doi.org/10.26905/jbm.v5i2.2664 DOI: https://doi.org/10.26905/jbm.v5i2.2664
Ahyar, H. dkk. (2020). Buku Metode Penelitian Kualitatif & Kuantitatif.Yogyakarta:CV. Pustaka Ilmu. (Issue March).
Arora, B., & Rahman, Z. (2016). Using Big data Analytics for Competitive Advantage. International Journal of Innovative Research and Developmen, 5(2Sp), 247–250.
Dharmatanna, E. C. (2020). Pengaruh Financial Technology Terhadap Kinerja Keuangan Perbankan di Indonesia. Skripsi.
DuBreuil, M. (2020a). Traditional vs. big-data fashion trend forecasting: an examination using WGSN and EDITED. International Journal of Fashion Design, Technology and Education, 13(1), 68–77. https://doi.org/10.1080/17543266.2020.1732482
DuBreuil, M. (2020b). Traditional vs. big-data fashion trend forecasting: an examination using WGSN and EDITED. International Journal of Fashion Design, Technology and Education, 13(1), 68–77. https://doi.org/10.1080/17543266.2020.1732482 DOI: https://doi.org/10.1080/17543266.2020.1732482
Fei, S. (2018). Overview of Application of Big Data Technology in Power Distribution System. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 38(1), 85–96. https://doi.org/10.13334/j.0258-8013.pcsee.172082
Flyverbom, M. (2019). The Governance of Digital Technology, Big Data, and the Internet: New Roles and Responsibilities for Business. Business and Society, 58(1), 3–19. https://doi.org/10.1177/0007650317727540 DOI: https://doi.org/10.1177/0007650317727540
Gio, P. U., & Irawan, D. E. (2016). Belajar Statistika dengan R. USU Press, 262.
Gössling, S. (2020). Technology, ICT and tourism: from big data to the big picture. Journal of Sustainable Tourism, 29(5), 849–858. https://doi.org/10.1080/09669582.2020.1865387 DOI: https://doi.org/10.1080/09669582.2020.1865387
Harerimana, G. (2018). Health big data analytics: A technology survey. IEEE Access, 6, 65661–65678. https://doi.org/10.1109/ACCESS.2018.2878254 DOI: https://doi.org/10.1109/ACCESS.2018.2878254
Hasan, M. K. (2022). Blockchain Technology on Smart Grid, Energy Trading, and Big Data: Security Issues, Challenges, and Recommendations. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/9065768 DOI: https://doi.org/10.1155/2022/9065768
Huda, M. (2018). Big data emerging technology: Insights into innovative environment for online learning resources. International Journal of Emerging Technologies in Learning, 13(1), 23–36. https://doi.org/10.3991/ijet.v13i01.6990 DOI: https://doi.org/10.3991/ijet.v13i01.6990
Lv, Z. (2021). Big Data Analysis Technology for Electric Vehicle Networks in Smart Cities. IEEE Transactions on Intelligent Transportation Systems, 22(3), 1807–1816. https://doi.org/10.1109/TITS.2020.3008884 DOI: https://doi.org/10.1109/TITS.2020.3008884
Mohamad, R., & Niode, I. Y. (2020). Analisis Strategi Daya Saing (Competitive Advantage) Kopia Karanji Gorontalo. Oikos Nomos: Jurnal Kajian Ekonomi Dan Bisnis, 13(1), 1–14. https://doi.org/10.37479/jkeb.v13i1.7062 DOI: https://doi.org/10.37479/jkeb.v13i1.7062
Moshinsky, M. (1959). No Titleیلیب. Nucl. Phys., 13(1), 104–116. DOI: https://doi.org/10.1016/0029-5582(59)90143-9
Nainggolan, A. (2018). Competitive Advantage Dan Upaya Meningkatkan Laba Perusahaan. Jurnal Manajemen Volume 4 Nomor 1 (2018), 4, 1–14.
NIODE, I. Y. (2012). Analisis Strategi Keunggulan Bersaing (Competitive Advantage) Sektor Usaha Kecil Menengah di Kota Gorontalo (Studi Industri Meubel di Kota Gorontalo). BISMA (Bisnis Dan Manajemen), 4(2), 91. https://doi.org/10.26740/bisma.v4n2.p91-101 DOI: https://doi.org/10.26740/bisma.v4n2.p91-101
Salijeni, G. (2019). Big Data and changes in audit technology: contemplating a research agenda. Accounting and Business Research, 49(1), 95–119. https://doi.org/10.1080/00014788.2018.1459458 DOI: https://doi.org/10.1080/00014788.2018.1459458
Solihin, O. (2021). IMPLEMENTASI BIG DATA PADA SOSIAL MEDIA SEBAGAI STRATEGI. 5. DOI: https://doi.org/10.34010/common.v5i1.5123
Sugiyono. (2003). Metode Penelitian Pendekatan Kuantitatif Kualitatif.
Supriya, M. (2021). A review of artificial intelligence, big data, and blockchain technology applications in medicine and global health. Big Data and Cognitive Computing, 5(3). https://doi.org/10.3390/bdcc5030041 DOI: https://doi.org/10.3390/bdcc5030041
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. fan, Dubey, R., & Childe, S. J. (2016). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009 DOI: https://doi.org/10.1016/j.jbusres.2016.08.009
Wang, C. J. (2020). Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing. JAMA - Journal of the American Medical Association, 323(14), 1341–1342. https://doi.org/10.1001/jama.2020.3151 DOI: https://doi.org/10.1001/jama.2020.3151
Widodo, E., & Dewayanti, A. A. (2016). Perbandingan Metode Estimasi LTS, M, MM Pada Regresi robust. Laporan Penelitian, 52.
Wijayanto, A., Suhadak, Dzulkirom, M., & Nuzula, N. F. (2019). the Effect of Competitive Advantage on Financial Performance and Firm Value: Evidence From Indonesian Manufacturing Companies. Russian Journal of Agricultural and Socio-Economic Sciences, 85(1), 35–44. https://doi.org/10.18551/rjoas.2019-01.04 DOI: https://doi.org/10.18551/rjoas.2019-01.04
Woelandari P.G, D. S. (2018). Potential Benefits and Business Value of Big data Analytics. Majalah Ilmiah Bijak, 15(2), 106–114. https://doi.org/10.31334/bijak.v15i2.19 DOI: https://doi.org/10.31334/bijak.v15i2.199
Wright, L. T. (2019). Adoption of Big Data Technology for Innovation in B2B Marketing. Journal of Business-to-Business Marketing, 26(3), 281–293. https://doi.org/10.1080/1051712X.2019.1611082 DOI: https://doi.org/10.1080/1051712X.2019.1611082
Yang, J. (2020). Brief introduction of medical database and data mining technology in big data era. Journal of Evidence-Based Medicine, 13(1), 57–69. https://doi.org/10.1111/jebm.12373 DOI: https://doi.org/10.1111/jebm.12373
Yu, H. (2019). Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology. IEEE Access, 7, 6288–6296. https://doi.org/10.1109/ACCESS.2018.2888940 DOI: https://doi.org/10.1109/ACCESS.2018.2888940
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Almira Swanta Rahardja
This work is licensed under a Creative Commons Attribution 4.0 International License.
