Determining e-commerce adoption level by SMEs in Indonesia based on customer-oriented benefits

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Small and Medium Enterprises (SMEs) in Indonesia need to enhance their ability to face a global market. E-commerce provides potential benefits for SMEs. This study proposed a number of Indonesian SMEs' e-commerce adoption levels and their ranks based on customer-oriented benefits. The levels and ranks are determined based k-means clustering. Analysis result shows that Indonesian SMEs can be classified into four levels of e-commerce adoption based on customer-oriented benefits.

Original languageEnglish
Title of host publication2014 1st International Conference on Information Technology, Computer, and Electrical Engineering
Subtitle of host publicationGreen Technology and Its Applications for a Better Future, ICITACEE 2014 - Proceedings
EditorsMochammad Facta, R. Rizal Isnanto, Munawar Agus Riyadi, Dania Eridani
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-285
Number of pages5
ISBN (Electronic)9781479964314
DOIs
Publication statusPublished - 23 Mar 2015
Event2014 1st International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2014 - Semarang, Indonesia
Duration: 8 Nov 20149 Nov 2014

Publication series

Name2014 1st International Conference on Information Technology, Computer, and Electrical Engineering: Green Technology and Its Applications for a Better Future, ICITACEE 2014 - Proceedings

Conference

Conference2014 1st International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2014
Country/TerritoryIndonesia
CitySemarang
Period8/11/149/11/14

Keywords

  • SMEs
  • clustering
  • e-commerce adoption level
  • framework

Fingerprint

Dive into the research topics of 'Determining e-commerce adoption level by SMEs in Indonesia based on customer-oriented benefits'. Together they form a unique fingerprint.

Cite this