Sitti Hardiyanti Arhas, - and Risma Niswaty, - and Tri Cahyono, - and Nawir Rahman, - (2022) Social Network Analysis: E-Marketing Sales of “Kue lebaran” in the Perspective of the Technology Acceptance Model. Pinisi Business Administration Review, 4 (1). pp. 45-52. ISSN 2775-7102 - 2656-6524
Text
Peer Review Social Network Analysis E-Marketing Sales of Kue Lebaran.pdf Download (1MB) |
|
Text
Turnitin ; Social Network Analysis E-Marketing Sales of “Kue lebaran” in the Perspective of the Technology Acceptance Model.pdf Download (746kB) |
|
Text (ARTIKEL)
Artikel Social Network Analysis E-Marketing Sales of Kue lebaran.pdf Download (698kB) |
Abstract
ABSTRACT E-marketing creates fundamental changes in business and consumer behavior, this happens because marketing does not require a lot of money, in contrast to traditional marketing. The purpose of this study was to determine e-marketing in selling Eid cakes (kue lebaran) from the perspective of the Technology Acceptance Model by using Social Network Analysis. The data is obtained from tweets on the Twitter application, the data obtained are tweets from April 2-20 2022. Data analysis uses the ATLAS.ti application. This study uses the keyword "jual kue lebaran", including only tweets, without retweets and images. Meanwhile Create codings from: authors, mentions, hashtags, and query hashtags only. Then do network analysis, tweets that stand alone or have no relationship with other tweets will be eliminated or excluded. Based on the results of data analysis, it was found that kue lebaran producers on the Twitter market their sales in the form of general promotional tweets or mentions to several accounts using easy word selection in conducting searches. Keywords: SNA; E-Marketing; ATLAS.ti; jual kue lebaran; twitter
Item Type: | Article |
---|---|
Subjects: | KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN |
Divisions: | FAKULTAS ILMU SOSIAL |
Depositing User: | Pustakawan Amaluddin Zaihal |
Date Deposited: | 11 Apr 2023 07:04 |
Last Modified: | 27 Jun 2023 12:13 |
URI: | http://eprints.unm.ac.id/id/eprint/27667 |
Actions (login required)
View Item |