ANALYSIS OF TWITTER USER INTERACTIONS USING SOCIAL NETWORKS AT PAYDAY SALE EVENTS ON THE MARKETPLACE

Authors

  • Ayuni Nur Chamila Universitas Muhammadiyah Sidoarjo
  • Rita Ambarwati Universitas Muhammadiyah Sidoarjo
  • Dewi Komala Sari Universitas Muhammadiyah Sidoarjo

DOI:

https://doi.org/10.32815/jibeka.v18i1.1734

Keywords:

Marketplace, E-commerce, User Generated Content, Social Network Analysis, Payday Sale

Abstract

The goal of this study was to ascertain the marketplace companies' commitment to implementing SCRM on social media and to identify patterns of engagement, interaction, and communication between Twitter users and the marketplaces Shopee, Tokopedia, and Lazada that emerged on social media at payday sale events. The Social Network Analysis (SNA) approach is being used in this qualitative study. Twitter users in Indonesia are the focus of this study. The users of Tokopedia, Shopee, and Lazada are the research population. Dictionary, Notepad++, Wordij, and Gephi are supporting tools used in this study together with Jupyter Notebook. The Shopee Marketplace is superior and performs better, according to an analysis of network features. According to the analysis, the Shopee marketplace has a broader network. According to this study, many consumers utilize Shopee as their online shopping destination, particularly during payday sale events when each marketplace offers alluring discounts and free delivery.

Author Biographies

Ayuni Nur Chamila, Universitas Muhammadiyah Sidoarjo

Department of Management,

Faculty of Business, Law and Social Sciences,

Universitas Muhammadiyah Sidoarjo

 

Dewi Komala Sari, Universitas Muhammadiyah Sidoarjo

Department of Management,

Faculty of Business, Law and Social Sciences,

Universitas Muhammadiyah Sidoarjo

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Additional Files

Published

10-02-2024

How to Cite

Nur Chamila, A., Ambarwati, R., & Sari, D. K. (2024). ANALYSIS OF TWITTER USER INTERACTIONS USING SOCIAL NETWORKS AT PAYDAY SALE EVENTS ON THE MARKETPLACE. Jurnal Ilmiah Bisnis Dan Ekonomi Asia, 18(1), 38–54. https://doi.org/10.32815/jibeka.v18i1.1734

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