Analisis Karakteristik Strategi Konten E-commerce Indonesia menggunakan Pendekatan Social Network Analysis untuk Market Intelligence

Affrilia Utami, Andry Alamsyah

Abstract


ABSTRACT

 

The increasing penetration of internet users in Indonesia has transformed the market into a digital economy that has an impact on the high competitiveness of e-commerce. The availability of online data can provide a strategy for businesses to find new ways to understand market behavior. We analyze the characteristics of e-commerce content. This study measures and compares the analytical nature of social networks and the types of content between two e-commerce Bukalapak and Lazada on the Facebook page. This research can provide insight into what is important in understanding the market by identifying the types of content characteristics between e-commerce in social media marketing campaigns and market size indicated by the value of their content involvement and community conversations of each social network in e-commerce.

 

ABSTRAK

 

Peningkatan penetrasi pengguna internet di Indonesia telah mentransformasikan pasar ke dalam ekonomi digital yang berdampak pada tingginya daya kompetisi antara e-commerce. Ketersediaan online data dapat memberikan strategi bagi bisnis untuk menemukan cara baru dalam memahami perilaku pasar. Kami menganalisa karakteristik konten e-commerce. Penelitian ini mengukur dan membandingkan sifat analisis jaringan sosial dan jenis konten di antara dua e-commerce Bukalapak dan Lazada di halaman Facebook. Penelitian ini dapat memberikan wawasan tentang apa yang penting dalam memahami pasar dengan mengidentifikasi jenis karakteristik konten di antara e-commerce dalam kampanye pemasaran media sosial dan ukuran pasar yang ditunjukkan oleh nilai keterlibatan konten mereka dan percakapan komunitas masing-masing jaringan sosial dalam e-commerce.


References


Barabasi, A.-L. (2012). Network Science. [online]. Available on http://barabasi.com/networksciencebook/ [September 25th, 2017]

C. Chern, A. Lee, J.T. Wei. (2014). Introduction to The Special Issue on Data Analytics for Marketing Intelligence. Springer, 2014.

Evan, Dave. (2010). Social Media Marketing: The Next Generation of Business Engagement. Indianapolis, Indiana: Wiley Publishing, Inc.

K. Seddon, N.C. Skinner, K.C. Postlethwaite. Creating a Model to Examine Motivation for Sustained Engagement in Online Communities. Journal Education and Information Technologies, Volume 12, Issue 1, pp 17-34, 2008

M. Goldberg, S. Kelley, M.M. Ismail. Communication Dynamics of Blog Network. Advances in Social Network Mining and Analysis and Mining : Second International Workshop, SNAKDD, 2008

Newman, M. (2012). Commmunities, Modules, and Large-Scale Struture in Networks. Nature Physics (8). 25-31.

R. Zheng, Q. Sheng, L. Yao. A Simulation Methods for Social Networks. Journal of Social Network Analysis and Mining, Vol. 5, Issue 14, 2015

Reza, J. I. (2015, 12 1). Ini yang Bikin Shopee Beda dengan Aplikasi Belanja Online Lain. [Online]. Available on Liputan 6: http://tekno.liputan6.com/read/2379358/ini-yang-bikin-shopee-beda- dengan-aplikasi-belanja-online-lain [September 28th, 2017].

Stats, I. W. (2017, 06 30). Usage Stats Facebook and Population Statistics. [Online]. [acces on October 25th, 2017]

Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications. Melbourne: Press Syndicate of the University of Cambridge.




DOI: https://doi.org/10.29313/performa.v0i0.3473

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Jurnal Manajemen dan Bisnis: Performa

Jurnal manajemen dan bisnis (Performa) diindeks oleh:


Alamat Redaksi:

Jl. Tamansari 1, Bandung 40116, Jawa Barat, (022) 4203368 pes. 210, (022) 4264064. jmb.performa@gmail.com / jmb.performa@unisba.ac.id

 

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International LicenseISSN 1829-8680 | E-ISSN 2599-0039