Supporting factors of sellers' reputation in e-marketplace: A case of Indonesia

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

4 Citations (Scopus)

Abstract

One of the factors that contributes to e-commerce's success, especially in developing countries, is trust. Trust plays a significant role for e-commerce players. To build trust, we need to develop a good reputation. Hence, this research is conducted to examine (identify and prioritize) factors that can develop sellers' reputation in the online market so that sellers would be able to compete and sustain in a competitive market. This research used qualitative and quantitative approach. Seven experts were interviewed in the qualitative approach which validated and thus produced 17 factors. These factors were later categorized using the Value Chain framework. After categorizing the factors, questionnaires were created based on the Fuzzy-AHP framework and distributed to 11 sellers in the top 3 Indonesian e-marketplaces. The analysis of the questionnaires showed that the 3 highest factors that can improve sellers' reputation in Indonesia e-marketplaces are customer services, after sales services, and quality of products.

Original languageEnglish
Title of host publication2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages215-220
Number of pages6
ISBN (Electronic)9781509046294
DOIs
Publication statusPublished - 6 Mar 2017
Event8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016 - Malang, Indonesia
Duration: 15 Oct 201616 Oct 2016

Publication series

Name2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016

Conference

Conference8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
Country/TerritoryIndonesia
CityMalang
Period15/10/1616/10/16

Keywords

  • E-marketplace
  • fuzzy-AHP
  • reputation
  • value chain analysis

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