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Kar, Santa
- Factors Determining Employment Decision:An Empirical Study Made on the Female Engineering Students of NIT, Silchar
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Authors
Affiliations
1 Department of Commerce, Assam University, Silchar – 788011, Assam, IN
1 Department of Commerce, Assam University, Silchar – 788011, Assam, IN
Source
SAMVAD: International Journal of Management, Vol 14 (2017), Pagination: 45-54Abstract
In a country like India where the number of registered companies (Private Limited, LLPs, OPCs and Foreign Companies combined) is shooting up day by day, the potential employees are getting chance to choose their dream employer based upon their preferences. Again, in the last few decades the raising rate of students choosing engineering education after passing out from their schools could be witnessed. This study attempts to answer what are the factors that influence the potential female employees in choosing their employers. The study considers only the female potential employees/female engineering students due to the fact that gender inequality is still a major drawback in the country and females' have certain specifications in choosing their employers. Sample size for the study consisted of fourty-nine female engineering students studying in NIT Silchar and responses were collected using a structured questionnaire. Relative worth of the factors influencing the choice of employer was estimated by ranking the identified factors further Kruskal-Wallis test is used to determine whether the demographic variable of the respondents effect their choice of selecting employer. Result of the study highlighted 'Direct Monetary Benefit' to be the most influencing factor in influencing the female engineering students of NIT, Silchar in choosing their employer and 'Attractiveness of the Employer' to be the least influencing one. Further, it was witnessed that the priorities of the sample students while choosing their employer varies as per their demographic variables.Keywords
Choice of Employer, Female Potential Engineers, India, Kruskal Wallis Test, Relative Worth.Full Text
References
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- Trauth E. M., Quesenberry J. L., & Huang H. (2008). Factors influencing career choice for women in the information technology workforce. Journal of Global Information Management, 16(4), 1–23. https://doi.org/10.4018/ jgim.2008100101
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- Omar M., et al (2016). A survey on factors influencing people to choose their career. International Journal of Contemporary Applied Sciences, 3(12). ISSN: 2308-1365.
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- Agarwala T. (2008). Factors influencing career choice of management students in India. Career Development International, 13(4). Emerald Group Publishing Limited. https://doi.org/10.1108/13620430810880844
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- Available from: http://www.mca.gov.in/
- A Study of Efficiency of Microfinance Institutions in India: A DEA Approach
Abstract Views :522 |
PDF Views:0
Authors
Santa Kar
1,
Joyeeta Deb
1
Affiliations
1 Department of Commerce, Assam University, Silchar, IN
1 Department of Commerce, Assam University, Silchar, IN
Source
The Microfinance Review, Vol 10, No 1 (2018), Pagination: 76-87Abstract
Microfinance institutions (MFIs) are considered to be the most important mechanism for achieving financial inclusion in developing countries like India where a large population is still deprived of formal financial services. Owing to the growing importance of MFIs, it is equally important to study the efficiency of these institutions which this paper attempts to do by selecting 21 Indian MFIs with the legal status of a non-bank financial institution (NBFI) and Non-governmental organisation (NGO), and by using Data Envelopment Analysis. The study used BCC Model and Undesirable Measure Model for gauging the efficiency of the MFIs. The Spearman’s Rank Correlation was estimated to check the correlation between the scores computed by using both the models. The study further attempts to compare the efficiency between NBFI- MFIs and NGO-MFIs. Results show that the average technical efficiency (TE) score under the BCC model was 0.771 and under Undesirable Measure Model was 0.997. The findings suggest that the relatively inefficient MFIs need to minimise the Portfolio at Risk (PaR)>30 to the extent of 50% in order to become efficient. Further it indicates that there exists positive correlation between the ranks of the MFIs under BCC and Undesirable Measure Model. The results also show that efficiency of the NGO-MFIs is at par with that of the NBFI- MFIs.Keywords
MFIs, Data Envelopment Analysis, BCC Model, Undesirable Measure Model.
References
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- Kar, S and J Deb (2017): “Efficiency Determinants of Microfinance Institutions in India: Two Stage DEA Analysis”, Central European Review of Economics and Management, Vol. 1, No. 8, pp.87-115.
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- Efficiency Determinants of Microfinance Institutions in India: An Indicative DEA Approach
Abstract Views :303 |
PDF Views:1
Authors
Santa Kar
1,
Joyeeta Deb
1
Affiliations
1 Department of Commerce, Assam University, Silchar, Assam, IN
1 Department of Commerce, Assam University, Silchar, Assam, IN
Source
Abhigyan, Vol 36, No 2 (2018), Pagination: 1-10Abstract
Microfinance Institutions provide financial support to the deprived sections of the society, who are unable to receive formal banking facilities, and thus is considered an integral part for developing an economy. Talking about India, where till date a large mass of population is poor, uneducated, deprived of formal banking services, Microfinance Institutions works as bridge in filling up the gap between such underprivileged population and the formal banking system. Recently the studies on efficiency of Microfinance institutions have received wider attention. Therefore, it is felt relevant to study the efficiency of such institution in Indian context. Besides efficiency, this paper also attempts to identify the determinants of efficiency and specifically answers whether 'sustainability' has any significant impact on efficiency. Relevant data are collected through secondary source from thirty-one Indian Microfinance Intuitions and non-parametric Data Envelopment Analysis (DEA) is used for gauging the efficiency, thereafter, tobit regression is used to identify the determinants of efficiency.
Keywords
Microfinance Institutions, India, Data Envelopment Analysis, Sustainability, Self-Sufficiency.References
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- India's 25 leading MFIs, CRISIL Ratings, June 2014. Rerieved from www.microfinancegateway.org/library/india's-25leading-mfis.
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- Nieto. B.G., Cinca. C.S., & Molinero. C.M. (2005). Microfinance institutions and efficiency. Omega the International Journal of Management Science, 35, 131-142.
- Nieto. B.G., Cinca. C.S., & Molinero. C.M. (2009). Social efficiency in microfinance institutions The Journal of the Operational Research Society, 60 (1), 104-119.
- Pasupathy K.S. (2002). Modeling undesirable outputs in data envelopment analysis : Various approaches. Unpublished master's thesis, Faculty of the Virginia Polytechnic Institute and State University, USA.
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- Analysis of Productivity in Indian Microfinance Institutions Using Malmquist Approach
Abstract Views :346 |
PDF Views:0
Authors
Affiliations
1 Department of Commerce University of Science and Technology, Meghalaya, IN
1 Department of Commerce University of Science and Technology, Meghalaya, IN
Source
The Microfinance Review, Vol 12, No 1 (2020), Pagination: 39-47Abstract
This paper aims to examine total factor productivity (TFP) change in the Indian Microfinance Institutions (MFIs) using a balanced panel data of 380 observations of 38 MFIs operating over a time period of 10 years. The selection of input and output for the study was based on the sustainability aspect of MFIs. Results indicate that the TFP of the MFIs as a whole experienced an average annual increase of 1.4% during the study period. Further decomposition of TFP growth reveals that technological upgradation in the industry accounted for nearly two-thirds of TFP increase and technical efficiency for the remaining.Keywords
Productivity Change, Malmquist Productivity Index, Indian MFIs.References
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- Hassan, M K and B Sanchez (2009): Efficiency Analysis of Microfinance Institutions in Developing Countries, Network Financial Institute Working Paper No. 2009-WP-12, Indiana State University, Terre Haute.
- Kar, S and J Deb (2018): “A Study of Efficiency of Microfinance Institutions in India: A DEA Approach”, The Microfinance Review, Vol. 10, No. 1, pp.76-87.
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