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Mohammad Ali Ehsani

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
Faculty: Faculty of Economics and Administrative Sciences
Address:
Phone: 09111554963

Research

Title
Integration between Regression Model and Fuzzy Logic Approach for Analyzing Various Electronic Commerce Effects on Economic Growth in Organizations
Type
JournalPaper
Keywords
Business Implication, Electronic Commerce, Information Technology, National Information Infrastructure, Regression Models
Year
2010
Journal Journal of Electronic Commerce in Organizations
DOI
Researchers Hamed Fazlollahtabar, ، Mohammad Ali Ehsani

Abstract

Information technology (IT) has the potential to transform the means by which society learns and accesses information. Electronic commerce is a rapidly growing area enjoying considerable attention in conjunction with the emergence of the Information Superhighway or the building of the National Information Infrastructure (NII). Numerous firms are beginning to position themselves on this superhighway in terms of providing hardware, software, information content or services. Economic growth is a significant point for profit making organization, and many organizations need multi-aspect in-depth analysis for finding the effective criteria to grow economically. This paper introduces integration between regression methodology and the fuzzy logic approach to analyze the effects of e-commerce on economic growth in an organization. The numerical results in the Iranian economy reveal that the proposed methodology is efficient in terms of accuracy and policymaking.