Informatics Publishing Limited

Nidhi Grover ¹, Priyansha Mahajan ¹

Affiliations
1 Senior Research Fellow, Dept. of Commerce and Business Management, GNDU, Amritsar

Abstract

Corporate Social responsibility does not only connote Self Regulation on the part of Corporates rather it also lies at the heart of Ethical standards and International norms; whereby companies are supposed to bring positive impact, through its activities, on the stakeholders. The Rationale of the concept of Corporate Social Responsibility (CSR) is that "industry can no longer be regarded as a private arrangement for enriching shareholders rather as a joint enterprise in which workers, management, consumers, the locality, government and trade union officials all play a part"(Berad, 2011). Business Ethics and Social responsibility go hand in hand because business ethics are of great importance to organizations because they carry the potential of transforming organizations' cultures in accordance with principles of social responsibility (Saqib et. al, 2009). Such a transformation of organizational culture can lead to a transformation of the organization towards not only better management of stakeholder relations but also and more fundamentally innovation in how organizations do profitable business. So both Business Ethics and CSR hold a very important place in the development scenario of the world today and can pose an alternative tool for sustainable development. In this backdrop, the present paper is a modest attempt to examine that how much conscious are the BSE Sensex blue chip companies with respect to CSR activities. For the same, data on thirty blue chip companies have been analyzed by computing compound annual growth rates.

Keywords

CSR, Blue Chip Companies, Business Ethics

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Nidhi Grover ¹, G. S. Bhalla ¹

Affiliations
1 Department of Commerce and Business Management, Guru Nanak Dev University, Amritsar, Punjab, IN

Abstract

The present paper is an attempt to measure profitability gains from bancassurance by taking a case study of State Bank of India (SBI). The CAMEL indicator approach has been used to assess the impact of bancassurance on the financial performance of SBI. The analysis reveals that the bancassurance has improved almost all components of CAMEL model significantly except four indicators namely, Capital Adequacy Ratio (CRAR), Non-interest income (NII), Return-on-Assets (ROA) and Return-on-Equity (ROE)

Keywords

Bancassurance, Profitability, SBI

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Nidhi Grover ¹

Affiliations
1 Institute of Information Technology & Management, Delhi, IN

Abstract

In data mining clustering techniques are used to group together the objects showing similar characteristics within the same cluster and the objects demonstrating different characteristics are grouped into clusters. Clustering approaches can be classified into two categories namely-Hard clustering and Soft clustering. In hard clustering data is divided into clusters in such a way that each data item belongs to a single cluster only while soft clustering also known as fuzzy clustering forms clusters such that data elements can belong to more than one cluster based on their membership levels which indicate the degree to which the data elements belong to the different clusters. Fuzzy C-Means is one of the most popular fuzzy clustering techniques and is more efficient that conventional clustering algorithms. In this paper we present a study on various fuzzy clustering algorithms such as Fuzzy C-Means Algorithm (FCM), Possibilistic C-Means Algorithm (PCM), Fuzzy Possibilistic C-Means Algorithm (FPCM) and Possibilistic Fuzzy C Means Algorithm (PFCM) with their respective advantages and drawbacks.

Keywords

Hierarchical Clustering, Partitional Clustering, Soft Clustering, Hard Clustering, FCM, PCM, FPCM, PFCM.

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