Analisa Interaksi Pengguna Media Sosial Perusahaan Sekuritas di Indonesia Saat Covid-19 menggunakan Social Network Analysis (Studi Kasus: Indopremier dan Bursa Efek Indonesia)
DOI:
https://doi.org/10.35870/jtik.v5i1.166Keywords:
Social Network Analysis, User Generated Content, Social Customer Relationship Management, COVID-19Abstract
The development of information technology, especially social media users, is increasing. Many securities companies make use of technology so that users can make various transactions and search for information digitally. This can be used in online marketing strategies and information dissemination, one of which is Twitter. Users can disclose known information and this information is User Generated Content (UGC), which is the track record left behind. Twitter user interaction analysis can provide information that supports various business decisions, such as customer engagement. This research takes advantage of the Covid-19 phenomenon in which the stock market has experienced a global downturn. The purpose of this study is to determine the level of awareness and identify customer engagement from the results of the implementation of Social Customer Relationship Management (SCRM) by the company. This study uses the Social Network Analysis (SNA) method, with secondary data in the form of tweets of Twitter user interactions regarding 2 securities companies, IndoPremier, and the Indonesia Stock Exchange. The result is that IndoPremier is a securities company that is superior in informing optimal customer engagement through the implementation of SCRM.
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References
L. D. Hollebeek, M. S. Glynn, and R. J. Brodie, “ScienceDirect Consumer Brand Engagement in Social Media : Conceptualization , Scale Development and Validation,†J. Interact. Mark., vol. 28, no. 2, pp. 149–165, 2014.
I. O. Karpen, “Engaging in times of COVID-19 and beyond : theorizing customer engagement through different paradigmatic lenses,†J. Serv. Manag., vol. 31, no. 6, pp. 1163–1174, 2020.
A. P. Rabbani, A. Alamsyah, and S. Widiyanesty, “Analisa Interaksi User di Media Sosial Mengenai Industri Fintech Menggunakan Social Network Analysis (Studi Kasus: GoPay, OVO dan LinkAja),†J. Mitra Manaj., vol. 2, no. 4, pp. 273–285, 2018.
N. R. Shiyammurti, D. A. Saputri, and E. Syafira, “Dampak Pandemi Covid-19 Di Pt . Bursa Efek Indonesia (Bei),†J. Account. Tax. Audit., vol. 1, no. 1, pp. 1–5, 2020.
M. F. Moens, J. Li, & T. S. Chua, Mining User Generated Content. Boca Raton: CRC Press, 2014.
M. Nur Habibi and Sunjana, “Analysis of Indonesia Politics Polarization before 2019 President Election Using Sentiment Analysis and Social Network Analysis,†Int. J. Mod. Educ. Comput. Sci., vol. 11, no. 11, pp. 22–30, 2019.
M. S. Setatama and D. Tricahyono, Ir., M.M., Ph.D., “Implementasi Social Network Analysis pada Penyebaran Country Branding ‘Wonderful Indonesia,’†Indones. J. Comput., vol. 2, no. 2, p. 91, 2017.
W. Ignatio, M. R. Dwi Putra, and M. Kevin, “Penentuan Top Brand Menggunakan Social Network Analysis pada E-Commerce Bukalapak dan Tokopedia.†pp. 1–5, 2018.
F. Aslam, Y. T. Mohmand, P. Ferreira, B. A. Memon, M. Khan, and M. Khan, “Network analysis of global stock markets at the beginning of the coronavirus disease (Covid-19) outbreak,†Borsa Istanbul Rev., 2020.
W. G. Zikmund, B. J. Babin, J. C. Carr dan M. Griffin, Business Research Methods. South-Western: Cengage Learning, 2009.
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