The development of B2b E-commerce readiness assessment model for SMEs

Identification of barriers using AHP method

Norjansalika Janom, Mohamad Shanudin Zakaria

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The implementation of inter-organizational systems like business-to-business e-commerce (B2B e-commerce) is being categorized as a system with high degree of difficulty since it involves complexity of the multiple relationships and interactions between trading partners. Companies need to consider their own strengths and weaknesses before making decisions to explore new B2B e-commerce without weakening the existing traditional marketing channels. The main aim of this paper is to generate understanding on the development of weighting score of internal and external barrier indicators which impact the B2B e-commerce development of the Small Medium Enterprise (SMEs) in agro-based industry. The analytical process hierarchy (AHP) has been used to establish ranking so that key elements can be determined. The AHP is used due to the fact that its utility outweighs other research methods in terms of providing a more accurate and consistent judgment. Thus, companies able to identify their readiness level for implementing B2B e-commerce and every aspect needed to improve them selves before implementing the applications.

Original languageEnglish
Pages (from-to)61-75
Number of pages15
JournalInternational Journal of Information Science and Management
Issue numberSPL.ISSUE2
Publication statusPublished - 2010

Fingerprint

Small and Medium-sized Enterprises
Electronic commerce
electronic business
Electronic Commerce
commerce
Identification (control systems)
Industry
Analytical Hierarchy Process
Model
Research Methods
weighting
Weighting
research method
ranking
Ranking
marketing
Decision Making
AHP method
Readiness
B2B e-commerce

Keywords

  • B2B E-commerce
  • Barriers
  • E-readiness and analytical process hierarchy (AHP)
  • Small medium enterprises (SMEs)

ASJC Scopus subject areas

  • Library and Information Sciences
  • Management Information Systems
  • Information Systems and Management
  • Statistics, Probability and Uncertainty

Cite this

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