M
Mohammad Fathian
Researcher at Iran University of Science and Technology
Publications - 140
Citations - 2921
Mohammad Fathian is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Supply chain & Cluster analysis. The author has an hindex of 27, co-authored 135 publications receiving 2592 citations. Previous affiliations of Mohammad Fathian include University of Tehran.
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Application of honey-bee mating optimization algorithm on clustering
TL;DR: This paper compared HBMK-means with other heuristics algorithm in clustering, such as GA, SA, TS, and ACO, by implementing them on several well-known datasets and shows that the proposed algorithm works than the best one.
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Critical Success Factors of Knowledge Management Systems: A Multi-Case Analysis
TL;DR: This study is probably the first to provide an integrated perspective of critical success factors for implementing KM through a multi-case study research and gives valuable information and guidelines which hopefully will help the leaders to accomplish knowledge management through their organizations in an effective way.
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Critical success factors of knowledge management systems: a multi‐case analysis
TL;DR: In this paper, a qualitative case study technique has been used for data collection to gain insights into the topic being investigated, and the extracted concepts can demonstrate critical success factors of KM system within organizations.
Posted Content
E-Readiness Assessment of Non-Profit ICT SMEs in a Developing Country: The Case of Iran
TL;DR: In this article, the authors provide a perspective of critical issues for e-readiness assessment in SMEs based on macro models in a developing country, which will help the managers in developing countries to consider the critical issues of their organization in an effective way.
Journal ArticleDOI
E-readiness assessment of non-profit ICT SMEs in a developing country: The case of Iran
TL;DR: In this article, the authors provide a perspective of critical issues for e-readiness assessment in SMEs based on macro models in a developing country, which will help the managers in developing countries to consider the critical issues of their organization in an effective way.