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Sarma, Sarmistha
- AStudy of Customer Delight in the Indian banking sector based on Kano’sModel of Product Quality
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Authors
Affiliations
1 Department of Business Management, Fakir Mohan University, Balasore, Orissa, IN
2 Delhi College of Advanced Studies (Affiliated to GGSIP University), New Delhi, IN
1 Department of Business Management, Fakir Mohan University, Balasore, Orissa, IN
2 Delhi College of Advanced Studies (Affiliated to GGSIP University), New Delhi, IN
Source
Parikalpana: KIIT Journal of Management, Vol 6, No 1-2 (2009), Pagination: 26-41Abstract
Banking sector in recent times have been faced by numerous challenges of constantly providing better services towards achieving customer delight. Past research in customer satisfaction and service quality has resulted in increasing research efforts to look at new ways to evaluate these concepts. In the present era , the emphasis is on Customer Delight(CD) so as to exceed customer's expectations. The objective of this study is to identify the factors that create 'customer delight' and to measure the level of such 'delight' in the sample banks studied. This study has employed Kano's model of customer satisfaction in measuring level of 'delight' factors in the Indian banking segment. The total sample size of the study is 200 customers with 50 from each of the 4 selected banks under study and our study area is New Delhi. . In case of SBI it is seen that quick service, parking space and add on facilities like services for senior citizens , differently abled are 'Must-be' features whereas in case of Bank of Baroda ,it is Quick Service, Parking space and low paper work that are 'Must-be' . It is found that among the ICICI Bank customers that they are largely indifferent to working hours and add on facilities for senior citizens and differently abled. Further, it is found that Prompt reply, Branch availability, wide acceptability of debit and credit cards and longer working hours are the delighter factors whichwhen fulfilled delight the customer and on their non-fulfilment dissatisfy them.Full Text
- An Assessment of the Role of National Culture as a Determinant of Entrepreneurial Orientation
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Authors
Affiliations
1 Department of Finance, International School of Business and Media, Kolkata, IN
2 Department of Finance, Hazrat Khajar Bashir Unani Ayurvedic Medical College and Hospital Foundation, BD
3 Department of Management Studies, Institute of Innovation in Technology and Management, IN
1 Department of Finance, International School of Business and Media, Kolkata, IN
2 Department of Finance, Hazrat Khajar Bashir Unani Ayurvedic Medical College and Hospital Foundation, BD
3 Department of Management Studies, Institute of Innovation in Technology and Management, IN
Source
ICTACT Journal on Management Studies, Vol 6, No 2 (2020), Pagination: 1197-1203Abstract
Entrepreneurship is an important factor of production. It is considered as a source of innovative change. Thus, it catalyzes enhancement in sustainable economic development of a nation. Entrepreneurship is inseparably interlinked with flexibility and knowledge. These two factors have gained importance as a source of competitive edge in the present globalized & interconnected economy. Entrepreneurship prevents concentration of economic activities, income and wealth and promotes decentralized development of commerce, trade and industry. This in turn, leads to removal of regional and industrial imbalance. Development of entrepreneurial activities and sustainable development in entrepreneurship have gained priority in the national agenda across the world. Entrepreneurship is even more crucial for developing countries as it has high employment elasticity and potential for earning foreign exchange. However, entrepreneurship is essentially a behavioural aspect. Hence culture has a causal relationship with entrepreneurship. This paper aims at assessing the role of Hofstede’s dimensions of culture in developing entrepreneurship in nations by using the technique of linear multi-variate regression.Keywords
Entrepreneurship, Hofstede’s Dimensions of National Culture, Linear Multivariate Regression.
- A Comparative Study of Intention to Use Agent Banking Vis-a-Vis Traditional Bank Branches in Bangladesh
Abstract Views :312 |
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Authors
Affiliations
1 Senior Lecturer, Faculty of Business Administration, North South University, Dhaka, BD
2 Associate Professor, Faculty of Business Administration, American International University, Dhaka, BD
3 Financial Advisor, Hazrat Khajar Bashir Unani Ayurvedic Medical College & Hospital Foundation, Jamalpur, BD
4 Professor, Institute of Innovation in Technology and Management, GGSIP University, Delhi, IN
1 Senior Lecturer, Faculty of Business Administration, North South University, Dhaka, BD
2 Associate Professor, Faculty of Business Administration, American International University, Dhaka, BD
3 Financial Advisor, Hazrat Khajar Bashir Unani Ayurvedic Medical College & Hospital Foundation, Jamalpur, BD
4 Professor, Institute of Innovation in Technology and Management, GGSIP University, Delhi, IN
Source
Journal of Commerce and Accounting Research, Vol 10, No 1 (2021), Pagination: 33-40Abstract
Information technology has signaled a paradigm shift in the service availability to the customers. Banking services have grown in phenomenal dimensions and agent banking is much to be credited for this increase in market reach. Researchers conducted a review of literature which brought about numerous advantages and challenges of agent banking services. This research paper has used the social exchange theory (SET) as the basis in trying to understand and analyze the case of Bangladesh in identifying the factors relating to adoption of agent banking compared to traditional banking systems. The study is corroborated from data collected at Tongi area of Bangladesh, and seeks to validate the findings with the help of empirical evidence analyzed using SPSS software. The paper serves as an extension to prior literature on intention to use services. The findings can be used as a foundation to design marketing strategies for developing markets with similar demographics.Keywords
Agent Banking, Social Exchange Theory (SET), Banks, Bangladesh.References
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- Dhir, S., Aniruddha, & Mital, A. (2014). Alliance network heterogeneity, absorptive capacity and innovation performance: A framework for mediation and moderation effects. International Journal of Strategic Business Alliances, 3(2-3), 168-178.
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- Fu, F. Q., Bolander, W., & Jones, E. (2009). Managing the drivers of organizational commitment and salesperson effort: An application of Meyer and Allen’s three-component model. Journal of Marketing Theory and Practice, 17(4), 335-350.
- Grimmer, M., & Oddy, M. (2007). Violation of the psychological contract: The mediating effect of relational versus transactional beliefs. Australian Journal of Management, 32(1), 153-175.
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- Hsu, C., & Lin, J. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence, and knowledge sharing motivation. Information & Management, 45(1), 65-74.
- Kankanhalli, A., Tan, B., & Wei, K. (2005). Contributing knowledge to electronic knowledge repositories: An empirical investigation. MIS Quarterly, 29(1), 113-143.
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- Kumar Behera, A., Nayak, N. C., Das, H. C., & Mohapatra, R. N. (2015). An empirical study of the impact of IT on performance in Indian service industries. Global Business and Organizational Excellence, 34(3), 67-78.
- Lewis, B. R. (1989). Quality in the service sector: A review. International Journal of Bank Marketing, 7(5), 4-12.
- Mas, I. (2008). Realizing the potential of branchless banking: Challenges ahead. CGAP Focus Note, (50).
- Mas, I., & Siediek, H. (2008). Banking through networks of retail agents. CGAP Focus Note, (47).
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- Metzger, M. J. (2004). Privacy, trust, and disclosure: Exploring barriers to electronic commerce. Journal of Computer-Mediated Communication, 9(4), JCMC942.
- Mungai, E. (2016). Factors influencing the adoption of agent banking by commercial banks in Kenya (Doctoral dissertation, United States International University-Africa).
- Pappas, J. M., & Flaherty, K. E. (2008). The effect of trust on customer contact personnel strategic behavior and sales performance in a service environment. Journal of Business Research, 61(9), 894-902.
- Parameswar, N., Dhir, S., & Dhir, S. (2017). Banking on innovation, innovation in banking at ICICI bank. Global Business and Organizational Excellence, 36(2), 6-16.
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- Tamjidyamcholo, A., Baba, M. S. B., Tamjid, H., & Gholipour, R. (2013). Information security - Professional perceptions of knowledge-sharing intention under self-efficacy, trust, reciprocity, and shared-language. Computers & Education, 68, 223-232.
- Villasenor, J., West, D., & Lewis, R. (2015). The 2015 Brookings Financial and Digital Inclusion Project Report.
- Wairi, D. (2011). Factors influencing the adoption of agent banking innovation among commercial banks in Kenya (Unpublished MBA research project). University of Nairobi, Kenya.
- Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35-57.
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- Addressing the Investors Dilemma Using Pairs Trading - Co-Integrational Study of Indian Stocks
Abstract Views :95 |
PDF Views:0
Authors
Affiliations
1 Department of Finance, International School of Business and Media, IN
2 Department of Finance, Hazrat Khajar Bashir Unani Ayurvedic Medical College and Hospital Foundation, BD
3 Department of Management, Institute of Innovation in Technology and Management, IN
1 Department of Finance, International School of Business and Media, IN
2 Department of Finance, Hazrat Khajar Bashir Unani Ayurvedic Medical College and Hospital Foundation, BD
3 Department of Management, Institute of Innovation in Technology and Management, IN
Source
ICTACT Journal on Management Studies, Vol 7, No 2 (2021), Pagination: 1382-1387Abstract
The increasing volatility in stock, commodities and foreign exchange markets compel investors and scholars to look for strategies which would immunize the investors against the unprecedented movement of the markets. Investors are often at dilemma to take correct positions to offset the risks in the market. This effort to offset market risk led to discovery of several market-neutral investment strategies of which a very popular one is Pairs Trading. It essentially involves taking opposite positions in two highly correlated assets. This study is on identifying pairs of stocks in the National Stock Exchange (NSE) which are suitable for pairs trading. The method of cointegration, both in long and short run, have been utilized in this study. Related statistical concepts of autocorrelation and stationarity have also been used in the study.Keywords
Pairs Trading, NSE, Cointegration, Autocorrelation, StationarityReferences
- Bernhard Pfaff, “VAR, SVAR and SVEC Models: Implementation within R Package Vars”, Journal of Statistical Software, Vol. 27, No. 4, pp. 1-13, 2008.
- Do Binh Do, &Robert Faff, “Does Simple Pairs Trading Still Work?”, Financial Analysts Journal, Vol. 66, No. 4, pp. 83-95, 2018.
- Christian L. Dunis, Jason Laws and Adam Shone, “Cointegration-Based Optimisation of Currency Portfolios”, Journal of Derivatives and Hedge Funds, Vol. 17, No. 2, pp. 86-117, 2011.
- Evren Bolgun, Engin Kurun and Serhat Guven, “Dynamic Pairs Trading Strategy for the Companies Listed in the Istanbul Stock Exchange”, Munich Personal RePEc Archive, Vol. 23, No. 3, pp. 1-15, 2009.
- R.S. Tsay, “Analysis of Financial Time Series”, Wiley, 2005.
- Franco Ho Ting Lin, “Dynamic Asset Allocation for Pairs Trading”, Available at https://francohtlin.github.io, Accessed at 2018.
- Jan Broel Plater and Khurram Nisar, “A Wider Perspective on Pairs Trading, A Trading Application with Non-Equity Assets”, Master Thesis, Department of Economics, School of Economics and Management Lund University, pp. 1-145, 2010.
- João F. Caldeira and Guilherme V. Moura, “Selection of a Portfolio of Pairs Based on Cointegration: A Statistical Arbitrage Strategy”, SSRN, Vol. 12, No. 2, pp. 1-13, 2013.
- Jose Balarezo, “International Diversification Using Cointegration and Modern Portfolio Theory”, Master Thesis, Department of Management Studies, Copenhagen Business School, pp. 1-145, 2010.
- Markus Harlacher, “Cointegration Based Algorithmic Pairs Trading”, Ph.D. Dissertation, School of Management, University of St. Gallen, pp. 1-207, 2016.
- B. Pfaff, “Analysis of Integrated and Cointegrated Time Series with R”, 2nd Edition, Springer, 2008.
- Ravi Bansa and Dana Kiku, “Cointegration and Long-Run Asset Allocation”, Journal of Business and Economic Statistics, Vol. 29, No. 1, pp. 1-11, 2011.
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- Samar Habibi and Kamran Pakizeh, “Profitability of the Pair Trading Strategy across Different Asset Classes”, International Research Journal of Finance and Economics, Vol. 13, No. 2, pp. 1-17, 2017.