A novel framework of ERP implementation in Indian SMEs: Kernel principal component analysis and intuitionistic Fuzzy TOPSIS driven approach

• Main Authors: Indranil Ghosh, Sanjib Biswas
• Format: Article
• Language: English
• Published: Growing Science 2016-04-01
• Series: Accounting
• Subjects: Enterprise Resource Planning; Small and Medium Enterprises (SMEs); Critical Success Factors (CSFs); Kernel Principal Component Analysis (KPCA); Intuitionistic Fuzzy set theory; TOPSIS
• Online Access: http://www.growingscience.com/ac/Vol3/ac_2016_26.pdf
• ISSN: 2369-7393; 2369-7407

Over the years, organizations have witnessed a transformational change at global market place. Integration of operations and partnership have become the key success factors for organizations. In order to achieve inclusive growth while operating in a dynamic uncertain environment, organizations irrespective of the scale of business need to stay connected across the entire value chain. The purpose of this paper is to analyze Enterprise Resource Planning (ERP) implementation process for Small and Medium Enterprises (SMEs) in India to identify the key enablers. Exhaustive survey of existing literature as a part of secondary research work, has been conducted in order to identify the critical success factors and usefulness of ERP implementation in different industrial sectors initially and examines the impact of those factors in Indian SMEs. Kernel Principal Component Analysis (KPCA) has been applied on survey response to recognize the key constructs related to Critical Success Factors (CSFs) and tangible benefits of ERP implementation. Intuitionistic Fuzzy set theory based Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) method is then used to rank the respective CSFs by mapping their contribution to the benefits realized through implementing ERP. Overall this work attempts to present a guideline for ERP adoption process in the said sector utilizing the framework built upon KPCA and Intuitionistic Fuzzy TOPSIS. Findings of this work can act as guidelines for monitoring the entire ERP implementation project.