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Growing Science » Authors » Sanjib Biswas

โญ Highly Cited Articles

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Naser Azad(82)
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Sort articles by: ๐Ÿ“– Volume | ๐Ÿ“… Date | โญ Most Rates | ๐Ÿ‘๏ธ Most Views | ๐Ÿš€ Rising Stars | ๐Ÿ”— Citations (Scopus) | ๐Ÿ”ฅ Hot Papers
1.

A hybrid unsupervised learning and multi-criteria decision making approach for performance evaluation of Indian banks Pages 169-184 PDF Download PDF

Authors: Soumendra Laha, Sanjib Biswas

doi 10.5267/j.ac.2018.11.001

๐Ÿ”‘ Keywords: Multi-Criteria Decision Making (MCDM), Entropy, Combinative Distance-based Assessment (CODAS), k-Means Clustering, Performance, Indian Banks

Abstract:
Efficient and stable performance of the banking system underpins sustainable growth of any economy. Of late, several economic reforms have been initiated in India for facilitating growth and withstanding dynamics of global economy. In this context, the current study compares the performance of the selected private and public sector banks in India on a five year time horizon in order to discern any changes in the performance over a period of time. First, the performance of the selected banks are examined in terms of management efficiency perspective using a Multi-Criteria Decision Making (MCDM) technique such as Combinative Distance-based Assessment (CODAS) when an Entropy method is also employed for determining criteria weight. The study also applies k-Means Clustering for checking consistency of performance based ranking with asset management efficiency. Finally, the paper delves into the relationship between financial and market performance. The study has found consistent results and observed private sector banks perform better than the public sector.
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Journal: AC | Year: 2019 | Volume: 5 | Issue: 4 | Views: 2730

 
2.

A novel framework of ERP implementation in Indian SMEs: Kernel principal component analysis and intuitionistic Fuzzy TOPSIS driven approach Pages 107-118 PDF Download PDF

Authors: Indranil Ghosh, Sanjib Biswas

doi 10.5267/j.ac.2016.7.004

๐Ÿ”‘ Keywords: Enterprise Resource Planning, Small and Medium Enterprises (SMEs), Critical Success Factors (CSFs), Kernel Principal Component Analysis (KPCA), Intuitionistic Fuzzy set theory, TOPSIS

Abstract:
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.
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Journal: AC | Year: 2017 | Volume: 3 | Issue: 2 | Views: 2325

 

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