bluuebunny/crossref_metadata_2025 huggingface dataset:
Validating the Measurement Constructs Affecting the Technology Adoption in Indian Mobile Banking Industry
Authors: Pattanshetti Muragesh Y. , Kamble Sachin S. , Dhume Sudheer M. , Gawankar Shradha
Published: September 2016

Mobile phones have undeniably brought a paradigm shift, affecting both the lives of people and the business environment. Today, mobile phone has permeated the lives of billions of people around the world, becoming for many an indispensable device. Moreover, adoption of mobile banking has significant impact on reducing costs and enabling change in retail banking. Factors influencing the intention to use or adopt mobile banking are very important and will play a vital role for mobile banking service providers. The proposed study focuses on a comprehensive set of potential factors that influence the adoption of mobile banking. The research model identifies appropriate factors and captures dependency relationships among these factors in the form of a number of hypotheses to be tested in this research. This paper aims to design a scale with a high degree of reliability, validity, and dimensionality which helps to determine the appropriate technology adoption model based on the identified constructs, viz. Optimism (OPTI), Innovativeness (INNO), Insecurity (INSC), Discomfort (DISC), Perceived Usefulness (PU), Perceived Ease of Use (PEU), Perceived Risk (PR), Subjective Norms (SN), Attitude (ATTI), Behavioural Control (BC) and Behavioural Intention (BI). The data were collected through questionnaire survey from 201 respondents comprising software engineers, bank employees, professors, entrepreneurs. Confirmatory factor analysis was used to test the validity of the proposed measurement scale for all the identified constructs. This instrument helps bankers to determine and design there applications which will contribute to the knowledge of predicting customer intention.
Why do Females Shop? Dimensions of Females Shopping Experience
Authors: Bagdare Shilpa
Published: September 2016

Shopping is an enjoyable moment in the life of a female shopper. It has a special meaning and status for females. It is often said that shopping and females are complementary to each other. Females assign a variety of reasons for shopping. With the changing role and status of female in the society, the reasons to shop are also increasing. The present study has tried to find an answer to a very important question, why do females shop? Literature suggests that joy of shopping is the most important motive for a female shopper. A survey of 321 Indian females suggested that the reasons could be described in terms of five dimensions of shopping experience namely special, enjoyment, delight, leisure and recreation. These dimensions collectively describe the sources of joy for Indian female shoppers. The study presents insights for practitioners and researchers.
Measuring the Efficiency of Marketing Efforts in the Indian Pharmaceutical Industry using Data Envelopment Analysis
Authors: Dash M. , Bose A. , Shome S. , Mondal S. , Majumdar M.G. , Rajakumar D.J. , Shetty R. , Sengupta D.
Published: September 2016

Pharmaceutical companies have been spending huge amount of money on marketing and promotions, sales distribution, and traveling done by the sales representatives. However, they find it difficult to directly link the returns with these efforts. This study makes an attempt to examine whether the marketing efforts have significant influence on the sales performance in the industry. It uses the DEA model (Data Envelopment Analysis) to assess the efficiency of marketing efforts by pharmaceutical companies, and uses random effects maximum likelihood panel regression to assess the significance of the impact of marketing efforts.
A Comparative Analysis of Support Vector Machines & Logistic Regression for Propensity Based Response Modeling
Authors: Prasad K. V. N. K. , Anjaneyulu G.V.S.R.
Published: September 2016

Increasing cost of soliciting customers along with amplified efforts to improve the bottom-line amidst intense competition is driving the firms to rely on more cutting edge analytic methods by leveraging the knowledge of customer-base that is allowing the firms to engage better with customers by offering right product/service to right customer. Increased interest of the firms to engage better with their customers has evidently resulted into seeking answers to the key question: Why are customers likely to respond? in contrast to just seek answers for question: Who are likely to respond? This has resulted in developing propensity based response models that have become a center stage of marketing across customer life cycle. Propensity based response models are used to predict the probability of a customer or prospect responding to some offer or solicitation and also explain the drivers– why the customers are likely to respond. The output from these models will be used to segment markets, to design strategies, and to measure marketing performance. In our present paper we will use support vector machines and Logistic Regression to build propensity based response models and evaluate their performance.
Interval-valued Data Analysis
Authors: Laha Arnab Kumar
Published: September 2016

N. A.
Ensemble Approach for Zoonotic Disease Forecasting Using Machine Learning Techniques
Authors: Sharma Vikash Chandra , Frankenfield David , Gupta Anupam , Singh Rama Krishna
Published: September 2016

More than two-third of emerging infectious diseases in recent decades are zoonotic in origin. Timely prediction of these diseases which migrate from animals to humans and preventive measures to stop the loss in terms of morbidity and mortality is the requirement of healthcare industry. Avian Influenza is one of the zoonotic diseases that have created havoc in recent past especially in Asian subcontinent. In past, attempts have been made to predict influenza using traditional time-series techniques (AR, MA, ARMA, ARIMA etc.) as well as machine learning techniques to capture the cyclicity and seasonality of these virus strains. In current research an effort has been made to utilize the Empirical Mode Decomposition (EMD) to extract the Intrinsic Mode function (IMF) and then apply state of art Machine Learning (ML) techniques to predict the series. Several machine learning techniques like Random Forest (RF) along with Gradient Boosting Machine (GBM) and Support Vector Regression (SVR)have been applied on the decomposed series. Exogenous models showed variables like temperature, humidity and precipitation have been incorporated to improve upon the forecast. An ensemble approach of ML models showed significant improvement over the traditional models in terms of long term forecast accuracy.
Analytics for Decision Making at Ports
Authors: Dasgupta Mrinal Kumar
Published: September 2016

Ports serve as an important link in global supply chain. Worldwide more than 75 percent of cargo move by sea. Over the years, the Indian Union has endeavoured to invest on major ports of the country to meet up to the global standards. Yet the share of major ports under the government of India has decrease from 90 to 70 percentage of total sea borne cargo in the country. The major ports lost its share to the minor ports under the state governments. Two reasons could be hypothesized for the said problem. One, the investments are not made in the right direction and other that the efficiency needs to be improved in functioning of the ports. In this paper an attempt has been made to identify the dimensions of port performance and the causality between the dimensions. It chooses to take average turn round time (ATRT) as an indicator of port performance. The paper proposes an analytical framework to identify the causality that would aid the decision makers. The causal approach has been based on identifying the dimensions (factors) using multi-variate data analysis, establishing the linear causal association between the ATRT and the factors, analyzing the relationship so obtained to propose an System Dynamics model for policy simulation by the decision makers.
A Study on Effectiveness of Investment in Intellectual Capital of Indian Knowledge Companies
Authors: Mondal Amitava , Ghosh Santanu Kumar
Published: September 2016

Intellectual capital (IC) is non-monetary assets or resources without physical substances which are underlying factors of a firms value creation process. Knowledge based companies mainly depend upon these type of assets for their value creation and competitive advantage. The present study makes an attempt to examine efficiency and effectiveness of investment in intellectual capital of 100 Indian knowledge companies during the period 2002 to 2011.
Airline Revenue Management Revenue Maximization through Corporate Channel
Authors: V Karthik , Mitra Indranil
Published: September 2016

This paper explains an empirical model that has been developed to arrive at the Best Possible Fare (BPF) for all the ad-hoc requests made by the corporate passengers. For the purpose of this research, a corporate request is considered ad-hoc if the booking request is initiated after the corporate channel for the particular flight is closed. By charging the best possible fare, the airline will be able to marginally increase its revenue without deviating from the guidelines of the corporate channel. This model updates itself with the available capacity at the time when the ad-hoc request is initiated, also considers the previous booking data to forecast the passenger demand and the channel behavior. This will lessen the manual intervention and its associated errors, and will take care of the number of corporate requests that can be approved and size of the corporate booking requests that can be approved. As the factors affecting the booking trend of the airlines have been covered earlier in various research papers as discussed in the literature review, we have directly focused on deriving the empirical solution in this paper.
Perspective: The Exponential Learning Curve of Analytics
Authors: Voleti Sudhir
Published: September 2016

N.A.
Forecasting The Stock Market Values Using Hidden Markov Model
Authors: Sasikumar R. , Abdullah A. Sheik
Published: September 2016

The financial market influences personal corporate financial lives and the economic health of a country. Price change of stock market is not a completely random model. The pattern of financial market has been observed by some economists, statisticians and computer scientists. This paper gives a detailed idea about the sequence and state prediction of stock market using Hidden Markov Model and also making inferences regarding stock market trend. The one day difference in close value of stock market value has been used for some period and the corresponding transition probability matrix and emission probability matrix are obtained. Seven optimal hidden states and three sequences are generated using MATLAB and then compared.
Is Your New Product Really Boosting our Sales? An Econometric Model to Quantify the Cannibalization Effect
Authors: Goutam Vamse
Published: September 2016

N.A.
Integrating Ethics in Finance and Accounting Courses using Ethical Banks as Vignette
Authors: Racelis Aliza
Published: September 2016

The field of Business Ethics has an important role to play in identifying and establishing ethical parameters for business activities. Ethics professors have the continued challenge of being able to deliver ethics and morality teachings in the classroom. One topic in the area of business ethics and social enterprise that has begun hogging the pages of business and social responsibility research articles is the field of ethical banking. The ethical-social nature of the mission of ethical banks makes for an interesting discussion piece and scenario for a case-based teaching of business ethics. This paper presents the case of showing ethical banks as vignette in finance and ethics classes at the University of the Philippines, aimed at making students aware that it is possible for businessmen to be socially and ethically oriented and at the same time keep in mind the need for financial sustainability. The methodology involved content analysis and tests of differences based on a survey of 141 undergraduate business students. Results show overwhelming positive response to the concept of the ethical bank. 96% of the student respondents were in admiration of the ethical raison detre of ethical banks and 93% opined that it pays to be ethical. There was no difference between male and female respondents in opining that it pays to be ethical. Overall, results corroborate the mounting evidence that there is an ever greater awareness of the ethical responsibilities of business and discernment of the form that ethics can take in specific enterprises.
Impact of Social Schemes on the Empowerment of Aam Aadmi A Study on MGNREGS and Food Security Bill
Authors: Goud M. Maschendar , Kiran V Usha
Published: September 2016

Aam Aadmi has achieved tremendous transformation from the stage of isolation to the stage of decision maker in the era of globalization. Increasing political concerns, neglecting the confidence on Aam Aadmi has resulted in huge loss to the dictators. In view of the importance of Aam Aadmi, a great change has occurred in terms of concern for Aam Aadmi in the present era. Increasing initiations of social schemes including Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) and National Food Security Bill, 2013 are some of the best examples which show that the government is highly concerned for the development and as well as empowerment. In view of the emergence of two of the most popular schemes by the government, the present paper will critically examine the need for social schemes for Aam Aadmi. Further, the paper also contributes the benefits of the schemes. Further, the challenges ahead for the successful implementation of the scheme have also been presented in the paper. The present paper is mainly based on the secondary data. The data pertaining to the opinions of the common people especially in rural India have also been considered. The paper provides the valuable observations on examining the impact of social schemes for the upliftment of Aam aadmi.
Board Effectiveness: An Evaluation based on Corporate Governance Score
Authors: Shukla Hitesh , Limbasiya Nailesh
Published: September 2016

Growth, progress, and prosperity of any country depend highly on the corporate governance mechanism of that country. Good governance of a country helps it to sustainable growth and consistency in progress. The good governance should contribute towards the improvement in transparency, ethics, morality, and disclosure. The principles of good governance stand on honesty, trust, integrity, openness, and performance orientation. Our honorable Prime Minister Narendra bhai Modi had given the three E for good governance during his speech on Independence Day i.e. Effective Governance, Electronic Governance, and Ethical Governance. The fundamental concern of corporate governance mechanism is to ensure the protection of minority shareholders/owners of specific firms. Mechanism of a corporate governance specifies the relations among the shareholders, board of directors, and managers. The present paper is an attempt to evaluate the effectiveness of the board by calculating the corporate governance score. The mandatory and non-mandatory guidelines have been considered while assigning points to specific parameters of the corporate governance.
Do Ethical Funds Underperform Conventional Funds? Empirical Evidence from India
Authors: Tripathi Vanita , Bhandari Varun
Published: September 2016

One of the significant developments in the investing community is the rise of socially responsible or ethical investments during last two decades. Because of the increasing size and importance of ethical mutual funds, this paper seeks to evaluate and compare the performance of ethical mutual funds with general funds and benchmark index (S&P BSE Shariah 500 Equity Index) in the Indian market. The sample comprises six ethical fund schemes and three general fund schemes of Tauras mutual fund over the period 2009-2014 using weekly NAVs. The study uses return, risk, risk-adjusted measures (Sharpe ratio, Treynor ratio, Jensens alpha and information ratio), Famas decomposition measure, paired samples t-test, and growth regression equation to accomplish the objectives. The findings suggest that some of the ethical funds generated significantly higher return than other funds and benchmark index. Despite having higher risk, ethical funds outperformed other funds and benchmark index on the basis of various risk-adjusted measures and net selectivity returns. This indicates that the compromise made with respect to diversification by investing in ethical funds was well rewarded in terms of higher returns in Indian context. Our findings lend support to the case of ethical investing in India. Mutual funds and other investment funds should launch schemes which invest in socially responsible or ethical stocks.
Measuring Efficiency of Primary Milk Cooperative Societies: A Case Study of South Goa
Authors: Popker Suraj M. , Raju Guntur Anjan
Published: September 2016

This paper endeavors to measure efficiencies of primary dairy milk cooperatives societies using the non-parametric technique of data envelopment analysis and attempt is also made to have the comparative picture as dos audit report correctly reflect the efficiency of primary dairy cooperatives societies in audit classification. The empirical results show that 13 of the 20 primary dairy cooperatives are found to be efficient and, thus, define the efficient frontier of the primary dairy cooperatives, with the TE scores range from 0.404 to 1, with an average of 0.936. As far as comparative study of efficiency and audit classification is considered it is found that audit classification dos not reflects the efficiency of primary dairy societies.
Corporate Social Responsibility of Public Sector Company: A Case Study of BHEL
Authors: Khatik S. K.
Published: September 2016

Corporate Social Responsibility (CSR) is not a new concept in the present scenario. CSR is a continuing commitment by business to behave ethically and contribute to economic development while improving the quality of life of the workforce and their families as well as the local community and society at large. After replacement of the Company Act 1956 by Corporate Act 2013, certain changes have been made. Earlier CSR was not mandatory for the Indian companies but after enforcement of Corporate Act 2013 it has become mandatory for those companies whose turnover is more than Rs. 1000 crore or net worth is more than Rs. 500 crore or net profit is more than Rs 5 crore. Such companies implement the CSR practice in their business and expend on CSR activities which should be 2% of their net profit. CSR is a concept where an organization considers the interest of society by taking responsibility for the impact of their activities on customers, suppliers, employees, shareholders, and other stakeholders. CSR policies, practices, and programmes are being comprehensively integrated by an increasing number of companies throughout their business operations and processes. This research paper highlights the concept, philosophy, role of CSR in value creation. How Indian companies are treating CSR activities in contemporary environment. In this study we found that community welfare, education and enlightening rural youth is the top priority areas for most Indian Companies.
Business Environment in West Bengal: An Ethical Issue
Authors: Ray Sreekumar
Published: September 2016

Ethics in Business are keywords in any business environment which are lacking in most of the cases. In a broad sense ethics means not to cheat others and to do the business in an honest way, to abide by the rules and regulations of the soil, and above all to keep the morale high so that the business can grow to a new height in long run. Unfair means and unethical business practices to earn money quickly are often fraught with the danger of losing the business permanently or losing the goodwill and respect of society. West Bengal has got bad reputation for industrial growth and fake chit funds and it has been named as ponzy capital of India by many as 72 out of 86 fake chit funds are in the state of West Bengal (as per the Report of Ministry of Corporate Affairs, Govt. of India). On the other hand the micro finance company Bandhan which has got Banking license last year (set up in 2001 in West Bengal) and Eins Edutech the company which was originally incorporated on March 9, 1983, as Ganpat Udyog in West Bengal are worth mentioning and at ease one can feel proud of them. As on 17th April, 2015 the latter company has got market capital of Rs.700 crore with its fixed assets, as per its balance sheet, as only two cell phones and one printer. As per monthly status of Bandhan in February 2015 it has 2,022 branches, 63,66,269 borrowers, 15,956 staff, loan disbursed for the month Rs.1,572 crores, and loan outstanding Rs.8,908 crores. Under such situation, this study focuses on the ethical business environment prevailing in West Bengal and the strategies adopted by them.
CAMELS and Bank Performance Measurement: A Case Study of Bank of Baroda
Authors: Nair Saji Thazhungal Govindan , Asghede Sahle Yeibiyo
Published: September 2016

Banking sector constitutes the backbone of the Indian economy and contributes significantly to her growth and development. Indias prudent banking system helps the country to survive various national and global economic shocks and meltdowns. Bank of Baroda (BOB) is the second largest and one of the leading profit-making Public Sector Banks in India. This study looks at the financial soundness of BOB under globally accepted CAMELS framework. The study observes the behavior of various parameters of CAMELS rating model and their consistency over the study period. The financial analysis finds the fundamental soundness of BOB with some minor flaws in certain areas. This research ultimately rates the performance of BOB with second grade.
Impact of Marketing Orientation on Financial Performance of Banks in India
Authors: Upadhyay Aditya , Sivakumar N.
Published: September 2016

Marketing orientation has become an important ingredient of the strategic management of banks in India due to the changed competitive landscape of the industry. However marketing expenses in banks can be risky as it is difficult to establish a direct relationship between marketing strategy and financial performance. This paper studies the impact of marketing orientation on the financial performance of banks in India. The marketing orientation can be understood by marketing strategy classification to which the banks belong. The study has been conducted on a total of 56 public, private, and foreign banks for the period 2004 to 2012. The paper has identified that certain financial parameters vary significantly among banks classified based on marketing orientation. However, marketing strategy classification has only a subdued impact on the profitability of the banks. The paper concludes with appropriate implications for banks on usage of marketing orientation in strategy.
ATM Withdrawal Restriction and Customer Retention: A Case with Students and Pensioners
Authors: Deb Rajat , Datta Anirima
Published: September 2016

Objectives: The present study seeks to examine the perception of the graduate students and pensioners of some selected localities of Kolkata about the importance of ATMs as a branch surrogate, impact of the ceiling on withdrawals from ATMs, and the strategies to win over the capping for the customers as well as for the banks to retain them. Participants and Data collection: It obtained primary data from 200 respondents consisting of 140 graduate students and 60 pensioners using different non-probability sampling techniques through schedule and personal interviews. Research Methods: Different statistical tests like factor analysis, Mann Whitney U test, students t-test, regression analysis, and descriptive statistics were performed to assess support for the hypotheses. The reliability of the questions and sample adequacy test was also carried out. Through factor analysis, five major factors viz. perceptions about ATM- an avatar for banks, customers satisfaction in ATM services, customers repercussion on capping, financial planning for withdrawals, and strategies for customers to avoid charges and for banks to retain them were extracted. Results: The results of the study suggest that youth prefer to use ATMs which has become indispensable and provide diversified financial services that leads to customers satisfaction, but withdrawing now requires some planning as customers need to visit branches to avoid fees. To retain the customers the banks should encourage the use of more electronic cards and net banking, should not charge for withdrawing own funds, allow them to access even the non-home branch ATMs close to the their locality, should reduce the minimum average floor balance to enjoy free unlimited access of home bank ATMs and keep currency of higher denomination to reduce the number of transactions.
Customer Perception and Emergence of Electronic Banking: A Case Study on Kolkata
Authors: Lakshmy S.
Published: September 2016

The present research aims to show the role and importance of electronic banking in todays global world and its impact on banking sector due to the emergence of advance technologies. The paper tries to explain this transition in the banking sector and shows the new opportunities, shortcomings and various risks associated with this new form of e-banking from the customers perspective. Technology in banking is an important tool to identify the challenges and scope of improvement associated with the various banking products and services. It helps in analyzing the effect of transition from the traditional pattern. In order to achieve the aforesaid, a primary data investigation was carried out based on a questionnaire collected from a sample of 100 respondents. The market research tool of Factor Analysis was used to identify the factors that influence the idea of e-banking in the customers mind. These identified factors will attribute in better understanding of the application of the newly evolving technologies to gain customers confidence and enhance the process of financial integration and better intermediation in the market.
An Empirical Study on Factors Affecting the Usage of Currency Derivatives with Reference to India
Authors: Srivastava Ankita
Published: September 2016

The present paper examines the use of currency derivatives in order to understand the driving forces behind its usage. The analysis carried on 83 non-banking Indian firms revealed that firms with greater growth opportunities and less financial constraints are more likely to use currency derivatives. This result suggests that firms might use derivatives to reduce cash flow variation that might otherwise preclude firms from investing in valuable growth opportunities. The overall analysis reveals that debt ratios i.e. foreign currency borrowing and long term debt ratio along with the income ratios like export ratio and profit before tax are the important micro-economic variables for using currency derivatives.
Examining the Hedging Effectiveness of Futures Contracts over Pre and Post Financial Crisis Period: Evidence from National Stock Exchange of India
Authors: Gupta Kapil , Kaur Mandeep
Published: September 2016

Present study examines the efficiency of futures contracts in hedging unwanted price risk over highly volatile period i.e. June 2000 - December 2007 and January 2008 – June 2014, pre and post-financial crisis period, by using S&PC NXNIFTY, CNXIT and BANKNIFTY for near month futures contracts. The hedge ratios have been estimated by using five methods namely Ederingtons Model, ARMA-OLS, GARCH (p,q), EGARCH (p,q) and TGARCH (p,q). The study finds that hedging effectiveness increased during post crisis period for S&PC NXNIFTY and BANKNIFTY. However, for CNXIT hedging effectiveness was better during pre-crisis period than post crisis. The study also finds that time-invariant hedge ratio is more efficient than time-variant hedge ratio.
An Analysis of Web Home Page Disclosure Practices of Top Public and Private Indian Banks
Authors: Kaur Mandeep , Kaur Manpreet
Published: September 2016

Internet is a very powerful communication device to disclose financial and non-financial information. Almost every company today maintains its website and disseminates their information voluntarily. Internet is very exciting medium to disclose information in the form of presentation. It has become most frequently used source of information. This paper tries to examine the web home page disclosure practices of top public and private Indian banks and try to find out the relationship between the disclosure score and size of bank by using the sample of 20 banks which constitute of top public and private sector banks. The results show that there is positive relationship between the disclosure score and size of bank.
Is PEG Ratio a Better Tool for Valuing the Companies as Compared to P/E Ratio? (A Case Study on Selected Automobile Companies)
Authors: Meher Bharat Kumar , Sharma Saurabh
Published: September 2016

The securities in the capital markets can be analyzed with the help of Fundamental Analysis or Technical Analysis or both. As for many small investors, technical analysis is a complex tool to be used for analyzing the securities, they basically use fundamental analysis in formulating their effective investment strategies. Fundamental Analysis includes various tools and techniques for making analysis of various securities in which Ratio Analysis is one of them. Investors emphasize on one important ratio i.e. P/E Ratio to have a better understanding on the future growth of a company. P/E i.e. Price Earnings Ratio is calculated by dividing market(stock) price per share by its earning per share. This research paper represents a brief note about P/E and its application in making certain investment decisions. This paper also attempts to focus on a new ratio i.e. PEG innovated by some financial analysts to analyze the growth position of various automobile companies and again a critical analysis of financial statements of selected automobile companies is done to assess its P/E and PEG Ratio. To conclude this paper a comparison is made between the P/E and PEG Ratio to determine whether the newly innovated PEG Ratio is more effective over P/E Ratio.
Weather Derivatives A Need for Indian Farmers?
Authors: Ray Prantik
Published: September 2016

Weather affects the performance of many industries/sectors. The notable examples are agriculture and energy. The weather sensitivity sometimes results in huge financial losses. Financial engineering thus came up with solutions like weather insurance and weather derivatives. Weather Insurance products have been targeted at and sold to the farmers of India – but the success of these remains questionable. The reason for the failure could be attributed to lack of clarity/awareness about the product, infrastructural issues and inherent issues with the category of insurance products. Weather derivatives, in comparison, are a new class of products. Though, they are virgin to Indian soil, these have been successful abroad. Weather derivatives are regarded a better, low-cost, sustainable alternative system of agriculture risk management. These contracts can be designed with good deal of flexibility to help farmers manage drought risk by making a payment when rainfall in a given period goes below a certain pre-agreed level. Besides the developed countries, these contracts are already in operation in some developing countries, too, for instance, Morocco, Mexico, Ukraine, Mangolia, and Romania due to their numerous advantages. The derivatives cover events with highly probability or low risk– which insurance does not cover. Also, the problems of adverse selection and moral hazard are not seen in derivatives. This paper aims to compare and contrast the concepts of weather insurance and weather derivatives. Taking a cue from the episode of weather insurance, the article suggests ways that might lead to the success and widespread acceptance of weather derivatives in India.
Business Correspondents as Catalysts of Financial Inclusion Empirical Evidences from North Bengal
Authors: Dhar Samirendra Nath , Sarkar Soumitra
Published: September 2016

In recent years the approach for financial inclusion in India has been to make provisions for every person to have access to a bank account and avail essential financial services. While implementing the recent programmes, it was realized that it was not possible to reach the milieu with brick and mortar bank branches in every nook and corner of the country, rather it is better that the bank makes efforts to reach the doorsteps of the people through business correspondents and business facilitators. The aim of the Business Correspondent (BC) model is to develop and sustain the association between unbanked populace and the formal financial system. However, the BC model introduced in India by RBI in 2006 has many problems, as found out by some studies. The present study is an empirical investigation into the systems and problems of Business Correspondent field workers in North Bengal. The study was taken up in the three districts of North Bengal which has a very low level of financial inclusion. Through extensive field research the authors try to find out what functions BCs actually perform in the field and importance of the functions as perceived by them and assess the problems inherent in the systems and the difficulties encountered by the field level workers through Importance Performance Analysis. The authors also try to gauge the financial benefits those accrue to the field level BCs from their operations and assess the viability of the financial inclusion strategies in this respect. The authors have used 32 operational indicators in attempt to analyze the problems in an Importance- Performance Analytical format and identified the areas which need to be concentrated on.
Global Financial Crisis: Exploring the Special Role of U.S. Banks and Regulations
Authors: Nisha Nabila
Published: September 2016

Financial markets have suffered the greatest dislocation following the truly seismic significance of the global financial crisis. Regulators argue that the banking sector played a particularly special role in triggering the causes of the subprime debacle, thereby leading to the occurrence of the global financial crisis. Banks previously functioned as only a financial intermediary, but certain developments in the international banking sector like deregulation, technological progress, consolidation and competition, securitisation and financial innovation, resulted in banks being involved in subprime lending activities and hence, a reason behind the financial turmoil. The aim of this paper is to scrutinise the special role of banks in the global financial crisis and to stress on the need for increased regulation and their implications on the banking sector. The current study will thus contribute to the examination of the salient features of the global financial crisis and provide regulatory suggestions for the banking sector and the government as a whole.
Customers Speak for Themselves: A Case of Customer Satisfaction in the Four Main South African Banks
Authors: Mutsonziwa Kingstone
Published: September 2016

There is a stiff competition for customers among the four big banks in South Africa. Banks have been dedicating a lot of time and resources in order to improve customer service levels and to expeditiously solve and respond to queries timeously. Although banks are trying their best to give their customers the best service, it is important to continuously measure customer satisfaction and identify most important service attributes that contribute to overall customer satisfaction for the banks. It is against this background that this study was carried. In order to carry out this study, a quantitative survey of randomly selected customers in Pretoria, Johannesburg, Durban and Cape Town were interviewed using a face-to-face methodology. A questionnaire with close-ended questions was designed using attributes sourced mainly from BANKSERV and included other demographic information. The interviewers were properly trained on how to administer the questions to the respondents. A total of 500 respondents participated in the survey. The respondents were randomly intercepted in the shopping malls and outside some banking halls for the areas considered in the study. The study showed that customers are generally satisfied (90%) with the overall service offered by the banks with low percentage (8%) of customers wanting to switch to another bank. The study also showed high usage of Internet banking, telephone banking, and automated teller machines (ATMs).
Customer Relationship Management- The Indian Perspective
Authors: Trivedi Pankaj K.
Published: September 2016

Market is a kingdom and customer is the king. This is a renowned maxim pursued by the Indian companies in true spirit. With the advancement in modern technology, customers are becoming more and more informed about their need and want. Nowadays social media is educating them and they scout around for best product, brand name, product quality, operation, and service support. Marketing has thus, undergone a paradigm shift and has come up to the point of establishing relationship with customer. Not just retaining the existing customers but even attracting new customers has become a big challenge. This is the main reason why companies have shifted their focus from being product-centric to customer-centric.
Understanding the Customer Experience: An Exploratory Study of A Category Hotels
Authors: Sharma Jyoti , Rather Raouf Ahmad
Published: September 2016

This study explores the customers experience by examining an empirical data of A category hotel customers. The purpose of this study is to examine the interrelationships among the customer experience, customer satisfaction, and customer commitment in the context of A category hotels of Jammu and Kashmir, India. The data were collected, using convenient sampling method, from 175 tourists/customers comprising 99 national and 76 foreign tourists of A category hotels located in four different tourist cities of Jammu and Kashmir, namely Gulmargh, Srinagar, Phalgam, and Jammu. After reliability and validity, the data were analysed using exploratory factor analysis, correlations, and regression analysis. The result from the findings suggests that the dimensions of customer experience influences customer satisfaction and customer satisfaction in turn, influences commitment. The study establishes positive and significant relationships among customer experiences dimensions, customer satisfaction, and customer commitment. Further, it provides directions to hospitality service providers in creating, enhancing, and maintaining satisfaction and commitment through customer experience so as to sustain competitive advantage.
Buying Behavioural Pattern Regarding Smartphone Users
Authors: Mehdi Mokhalles Mohammad
Published: September 2016

Consumer buying behavior is the process of understanding consumers selection, buying and using of Smartphone. The purpose of study is to identify pre-purchase factors and post purchase liking attributes of smartphone users in a university of Jorhat. In addition, it investigates awareness about smartphone and brand wise ownership of users. In order to accomplish the objectives of study, a sample of 80 consumers were taken by using simple random sampling technique. The collected data were analyzed and tested using descriptive statistics and hypothesis were tested through Phi and Cramers V in this study. Results of the survey revealed that Samsung has highest top of mind awareness and users from consumer groups. Research highlighted several new insights about smartphone users pre-buying behavior and post-buying behavior. Pre-buying behavior of consumers were influenced by factors namely, price, features, user friendliness, after sales service. Post-purchase liking attributes of smartphone users are mainly availability of social networking application and unique product features. The research concludes that there is no relationship between (a) smartphone ownership and monthly income (b) frequency of smartphone change and amount ready to spend.
Customer Personality Taxonomy: A Theoretical Analysis of Customer Diversity Management in the Hospitality Industry
Authors: Eketu Continue Anddison
Published: September 2016

Development in Nigerian Tourism industry and the emerging shift toward the culture of leisure by most Nigerians have attendant challenges in management of customer satisfaction in hospitality industry. Cultural diversity combined with personality diversity calls for improvement of understanding of interface staff in hospitality based firms to enhance customer satisfaction. This paper presents a theoretical taxonomical analysis of customer personality typologies and further designs a framework of corresponding treatments for managing each identified and isolated personality, for effective customer satisfaction. The paper adopted the DISC framework to identifying and isolated four distinct personalities corresponding to: Expressiveness, Assurance, and Compliant personalities. The framework for managing DISC is FEAS, corresponding to Firmness, Expressiveness, Assurance, and Straightforwardness. The paper concluded that every unique personality typology demands an appropriate attention to achieve the customer expectation and satisfaction based on his uniqueness. Therefore, FEAS should be adopted to manage DISC in the hospitality industry.
An Enhanced Cloud Security using Quantum Teleportation
Authors: Sowmya D. , Sivasankaran S.
Published: September 2016

In the cloud environment, it is difficult to provide security to the monolithic collection of data as it is easily accessed by breaking the algorithms which are based on mathematical computations and on the other hand, it takes much time for uploading and downloading the data. This paper proposes the concept of implementing quantum teleportation i.e., telecommunication + transportation in the cloud environment for the enhancement of cloud security and also to improve speed of data transfer through the quantum repeaters. This technological idea is extracted from the law of quantum physics where the particles say photons can be entangled and encoded to be teleported over large distances. As the transfer of photons called qubits allowed to travel through the optical fiber, it must be polarized and encoded with QKD (Quantum Key Distribution) for the security purpose. Then, for the enhancement of the data transfer speed, qubits are used in which the state of quantum bits can be encoded as 0 and 1 concurrently using the Shors algorithm. Then, the Quantum parallelism will help qubits to travel as fast as possible to reach the destination at a single communication channel which cannot be eavesdropped at any point because, it prevents from creating copies of transmitted quantum key due to the implementation of no-cloning theorem so that the communication parties can only receive the intended data other than the intruders.
Cloud Services: Application and its Use in Information Science
Authors: Tramboo Shahkar Riyaz
Published: September 2016

The purpose of the paper is to present the different views of how cloud computing is being adopted as a service in the field of Information Science, and the varied services being provided by the Cloud. An online survey was carried out to look for cloud services and its level of penetration in the field of information science as a services provider. Also previous work on the same topic by various researchers was also taken into account as they provided the required impetus for the research process. The study assesses the cloud computing and the use of its services in the field of Information Science, along with few relevant examples of large scale cloud computing services. The finding can be used by the professionals to get basic understanding of the cloud computing and its services for information storage and dissemination.
Automation of Discovery and Aggregation of Cloud Services
Authors: Nagarmunoli Sreedevi R. , Sidnal Nandini S.
Published: September 2016

Cloud computing is a technology where IT-related resources are dynamically provided as a service to the customers through Internet. The customer can demand for the services dynamically from Cloud Service Provider (CSP)s, take them on lease based on Service Level Agreement (SLA), release the resources after completion of task and pay for what is used. The required services may not be available from a single CSP. There are many CSPs providing multiple services with different Quality of Service (QoS). The customer has to discover the available services with the expected QoS which is one of the major challenges to be solved in cloud computing today. In this paper we dynamically create a repository of the cloud services and aggregate them whenever there is a demand for service and then derive that the services obtained from the repository are time efficient as compared to direct service discovery.
Big Data Privacy Preservation Using Two Phase Top-Down Specialization Algorithm with Multidimensional Map Reduce Framework on Hadoop
Authors: S. Shalin Eliabeth , S. Sarju
Published: September 2016

Big data privacy preservation is one of the most disturbed issues in current industry. Sometimes the data privacy problems never identified when input data is published on cloud environment. Data privacy preservation in hadoop deals in hiding and publishing input dataset to the distributed environment. In this paper investigate the problem of big data anonymization for privacy preservation from the perspectives of scalability and time factor etc. At present, many cloud applications with big data anonymization faces the same kind of problems. For recovering this kind of problems, here introduced a data anonymization algorithm called Two Phase Top-Down Specialization (TPTDS) algorithm that is implemented in hadoop. For the data anonymization-45,222 records of adults information with 15 attribute values was taken as the input big data. With the help of multidimensional anonymization in map reduce framework, here implemented proposed Two-Phase Top-Down Specialization anonymization algorithm in hadoop and it will increases the efficiency on the big data processing system. By conducting experiment in both one dimensional and multidimensional map reduce framework with Two Phase Top-Down Specialization algorithm on hadoop, the better result shown in multidimensional anonymization on input adult dataset. Data sets is generalized in a top-down manner and the better result was shown in multidimensional map reduce framework by the better IGPL values generated by the algorithm. The anonymization was performed with specialization operation on taxonomy tree. The experiment shows that the solutions improves the IGPL values, anonymity parameter and decreases the execution time of big data privacy preservation by compared to the existing algorithm. This experimental result will leads to great application to the distributed environment.
Effects of Firm Specific and Macro-Economic Factors on Trade Credit Supply: The Case of a Developing Country
Authors: Ahmed Jaleel , Xiaofeng Hui , Mujtaba Ghulam
Published: September 2016

This study answers the call of understanding trade credit determinants and consequences in different cultures and economic setups in order to be able to devise policies. Trade credit is the separation between the delivery of goods and their payments. It is affected by two types of factors including firm specific characteristics and macroeconomic conditions. This study investigates the following firm specific variables such as firm size, liquidity, product quality, price discrimination and macro-economic conditions viz GDP. Data have been collected for trade credit supply determinants of non-financial firms listed in Karachi Stock Exchange, Pakistan. The number counts for 156 firms in 13 sectors with 11 years data from 2001-2011. The results show that all the variables are significantly related to trade credit supply as hypothesized.