Browsing by Author "S, Kavitha"

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ADOPTION OF DIGITAL MARKETING AMONG MSMES IN COIMBATORE: AN EMPIRICAL STUDY
(Social Science & Humanities International, 2020-01) S, Kavitha
World is drastically changing and everything is moving towards digitalization, companies are also shifting to online modes to market their businesses. There are many digital marketing channels available to marketers like Search Engine Marketing, Search Engine Optimization, Email marketing, Mobile Marketing, Content Marketing, Social Media Marketing etc., Large business organizations are utilizing the digital marketing platforms. Since the digital marketing channels are cost effective, they have tremendous reach and immediate response making them suitable for MSMEs as well. There are some research studies which are conducted to study the awareness and usage of digital marketing among MSMEs in foreign countries. However, in Indian scenario these studies are very limited in number. Hence, this study is an attempt to identify whether MSMEs in Coimbatore have been able to identify the potential of Digital Marketing and how much they are utilizing that technology towards their promotional activities.
AN ANALYSIS ON CROP YIELD PREDICTION USING DATA MINING TECHNIQUES
(Karpagam Academy of Higher Education, 2019-09-27) S, Kavitha; G, Sangeetha
In day to day life the requirement of food is increasing at rapid rate and hence the farmers, government and researchers are using several techniques in agriculture for the improvement in production. Plants are usually affected by a many pests and diseases. In the process of resolving agricultural issues the concepts of data mining plays a fundamental part. Research in agriculture is increasing due to development of technologies and forth coming challenges [1]. In improving the general growth of a country the plant disease detection has an important place. Diseases in plants, production and loss can be predicted with the help of data mining approaches like classification. The future trends in agricultural processes can be forecasted with the Data mining techniques. Generally the damages were examined by using classifiers namely SVM , K-Nearest Neighbor, Decision Tree, Random Forest, Naive Bayes and so on. [13].
BUILDING CUSTOMER LOYALTY THROUGH CUSTOMER EXPERIENCE MANAGEMENT
(Journal of Management and Science, 2016-01) S, Kavitha; P, Haritha
Customers are more demanding than ever. Creating superior customer experience is crucial in gaining competitive advantage in any business environment. Companies need to have a well defined customer experience management strategy to determine a place in the competitive world. Customer Experience Management has gained importance in recent years. As companies are faced with the issues like decreasing custom er loyalty, reduced scope of differentiation through product features, and with increasing costs of customer acquisition, it has become immensely important for companies to practice experience based differentiation in every stage of customer interaction. This paper focuses on the various aspects that impact customer experience and its impact on customer loyalty.
CUSTOMER EXPERIENCE MANAGEMENT: IMPORTANCE AND ITS IMPACT ON VARIOUS BEHAVIORAL OUTCOMES
(Journal of Management and Science, 2019-01) S, Kavitha; P, Haritha
Every organization, whether it‟s a market leader or running to attain that position always think of the importance of customer experience improvement. Happy customers do transactions more, spends more, drives growth and promotes the business whereas unhappy customers damages the business soon and throws it away. To determine how much the business flourishes tomorrow, it‟s important to know how the customers feel about it today. Customer Experience Management views and improves the interactions between the business and the customer entirely from customer‟s point of view. This paper focuses on the importance of customer experience management and its impact on various behavioral outcomes.
CYBER SECURITY AWARENESS AMONG WOMEN USERS - AN EMPIRICAL STUDY
(EBSCO, 2021-09) S, Kavitha
The number of internet users in India is increasing. According to the Datareportal, there are 624 million internet users in India in January 2021 which is almost the 50 percent of the population. The Internet and Mobile Association of India (IAMAI)'s Digital in India report indicates that the number of female users in India is increasing. The split of male to female is 58:42 in metros. Internet world is creating enormous opportunities for women to voice out their opinion without fear in the cyber space. It has created more benefits in terms of access and opportunities. With the fast-growing reach of the internet, speedy spread of mobile information and the escalated use of social media, crimes are also increasing. Women being a vulnerable group often do fall victim to this. In spite of so many efforts to combat the issue of Cybercrime and provide safety to users, cybercrime rates are high and pose a major threat to the dignity and safety of women. There are many security tools and spaces available where women can enjoy the benefits of the cyber world. But lack of awareness on how to use things safely and securely is making women more vulnerable to cyber-attacks than men. This research study is an attempt to understand to what extent women users are aware of threats in cyber-space; precautions to be taken and legal protection available to them.
EMPLOYEES’ PERCEPTION ON ELECTRONIC CUSTOMER RELATIONSHIP MANAGEMENT IN BANKS: AN EMPIRICAL INVESTIGATION IN TAMILNADU
(International Journal on Customer Relations, 2013-03) S, Kavitha
Today we have an emerging concept called ECRM, a means for the companies to conduct interactive and personalized communications with customer. Companies whether they are manufacturing or are in the service, need to adopt right customer relationship strategies in order to survive in the competitive world. Banks are using ECRM tools for creating relationship with their customers. Bank employees are working with these tools and success entirely depends on the ways in which it is properly adopted and used by these employees. This study was conducted with an objective to know the employee’s perception on ECRM tools and effectiveness of usage of these tools.
EMPLOYEES’ PERCEPTION ON ELECTRONIC CUSTOMER RELATIONSHIP MANAGEMENT IN BANKS: AN EMPIRICAL INVESTIGATION IN TAMILNADU
(International Journal on Customer Relations, 2013-03) S, Kavitha
Today we have an emerging concept called ECRM, a means for the companies to conduct interactive and personalized communications with customer. Companies whether they are manufacturing or are in the service, need to adopt right customer relationship strategies in order to survive in the competitive world. Banks are using ECRM tools for creating relationship with their customers. Bank employees are working with these tools and success entirely depends on the ways in which it is properly adopted and used by these employees. This study was conducted with an objective to know the employee’s perception on ECRM tools and effectiveness of usage of these tools.
ESTABLISHING THE EFFICIENCY OF ALGORITHMS IN DATA MINING FOR USERS
(NPR Arts and Science College, 2018-12-28) S, Kavitha; K, Sarojini
Data mining has successfully yielded a large number of tools, different methods, various algorithms and a range of approaches for handling large amounts of data for various problem solving. Data mining has become the essential part of many areas such as business intelligence, decision support systems, data warehousing, bio-informatics, predictive analytics etc,. The main of objective is to effectively handle large scale data, extract patterns, and gain intuitive knowledge. Knowledge discovery in databases includes Data Mining as main part. This paper presents comparisons of various algorithms necessary for handling large data sets. A vast range of structures and methods applied to manipulate big data are defined. This review discusses about the process of the algorithm, its advantages and disadvantages. This paper evaluates the efficiency of certain algorithms that the data mining users can select and apply on which algorithm that they will be searching for problem solving. The main aim of this paper is to provide the users with a review about the algorithms for data mining.
FACTORS INFLUENCING SATISFACTION ON E-BANKING
(Aims International Journal of Management, 2017-01) S, Kavitha
Information technology has made enormous changes in to the way in which the business enterprises operate today. This is very much true for service industries like banks which experienced tremendous change in their business process. On the other side, due to LPG (Liberalization, Privatization and Globalization) era, customers especially bank customers have become more demanding and choosy. In this competitive world, the success of business will be based on how effectively they utilize the information technology tools for satisfying the needs of the customers at the right time, right place and at the right cost. There are number of delivery channels available in the banking industry to reach the customers. The widely used technologies like ATM, Internet Banking, Mobile Banking, SMS banking etc are satisfying the needs of the customers. But the effectiveness of usage of these tools decides the success of the functioning of banks. This research was an attempt to identify customer satisfaction on the e-banking services offered by banks with special reference to online banking. This was assessed with the help of five dimensions (Security, Performance, Training, Reliability and Ease of use) identified through various review of literature. A questionnaire was constructed and circulated and finally 250 questionnaires with complete responses were included in the study to identify their satisfaction about e-banking services provided by the banks in Tamil Nadu. The data collected were analyzed using the statistical tools like Multiple Regression, Chi Square and Simple Percentage analysis. Based on the results, suggestions were given to bankers for …
IMPACT OF SOCIAL MEDIA ON MILLENNIALS – A CONCEPTUAL STUDY
(Apeejay Journal of Management Sciences and Technology, 2016-10) S, Kavitha; R, Bhuvaneswari
In present days, Social media has become a vital part of modern society. Social media are web-based services that allow users to connect and interact with friends, contacts, and strangers. Social network sites include Facebook and Twitter, Instagram, Media-sharing sites such as YouTube and Flickr, blogs, and other web-based communication forums. The term “Millennials” refers to persons born between 1980 and 2000. They are also called as Generation Y and Digital Natives with the highest internet use since the last few decades. The Internet’s instantaneous information, the broad reach of media influence the superior usage of Social media by Gen Y. This study attempts to explain the impact of social media on millennials.
INFLUENCE OF SOCIAL MEDIA ON INVESTMENT DECISION MAKING WITH SPECIAL REFERENCE TO STOCK MARKET
(Avinashilingam School of Management Technology, Coimbatore, 2017-02) S, Kavitha; R, Bhuvaneswari
In present days, Social media has become a vital part of modern society. According to Statista data, there are 2.34 billion social media users around the globe and it may extend up to 2.95 billion in 2020. Social media is used by many fields like Education, Business and Organisations, Health care industry, Fashion industry, Automotive industry, Hotel industry and so on and nowadays Social media is booming in Financial sector also. This paper is a study about the impact of social media on investment decision making in the stock market.
A REVIEW ON DIFFERENT CLUSTERING ALGORITHM FOR CANCER DATA ANALYSIS
(K.S.G College of Arts and Science, 2019-09-20) S, Kavitha; G, Sangeetha
In recent years DM has attracted great attention in the healthcare industry and society as a whole. The objective of this research work is focused on the cluster creation of two cacancer dataset and analyzed the performance of partition based algorithms. The three tytypes of partition based algorithms namely Global kMeans, Kmeans Plus and Affinithy Prpropagation are implemented. Comparative analysis of clustering algorithms is also cacarried out using two different dataset Colon and Leukemia. The performance of a algorithms depends on the Correctly classified clusters and the Average accuracy of data. The Affinity Propagation algorithm is efficient for clustering the cancer dataset. The final outcome of this work is suitable to analyses the behavior of cancer in the department of oncology in cancer centers. Ultimate goal of this research work is to find out which type of dadataset and algorithm will be most suitable for analysis of cancer data.
A STUDY ON BASICS OF DATA MINING
(Bharathiar University, 2019-01-24) S, Kavitha; K, Sarojini
Data Mining is the process of collecting data from various resources and then constructing useful structure of information. It is also defined as process of investigating the previously existing database and generating new information and models which is known as Knowledge Discovery in Database (KDD). Various types of data mining techniques and algorithms can applied in order to derive the required patterns. The main objective of this paper is to examine the concept of data mining, review the techniques used in data mining, the main application areas data mining and algorithms used to derive the patterns.
A STUDY ON DATA MINING IN HEALTH CARE
(Journal of Applied Science and Computations, 2019-04) S, Kavitha; K, Sarojini
The amount of data produced from Health care industry is huge which consists of information about patients and their medical history. Data mining emerges with techniques for discovering and extracting information from the data warehouse. Thus the hidden information’s can be discovered with the help of data mining techniques. Such techniques when implemented in healthcare field for decision making, it paves the way for improvement of treatment standard and also increases the survival rate of patients. The Healthcare data needs to be examined accurately in order to diagnosis the disease correctly and to provide with appropriate treatments.
A STUDY ON DATA MINING IN HEALTH CARE
(Sri Krishna Arts and Science College, 2019-02-13) S, Kavitha; K, Sarojini
The amount of data produced from Health care industry is huge which consists of information about patients and their medical history. Data mining emerges with techniques for discovering and extracting information from the data warehouse. Thus the hidden information’s can be discovered with the help of data mining techniques. Such techniques when implemented in healthcare field for decision making, it paves the way for improvement of treatment standard and also increases the survival rate of patients. The Healthcare data needs to be examined accurately in order to diagnosis the disease correctly and to provide with appropriate treatments.
A STUDY ON FACTORS INVOLVING THE USAGE OF SOCIAL MEDIA ON INVESTMENT DECISION MAKING WITH REFERENCE TO INVESTORS OF SELECTED STOCK BROKING HOUSES IN COIMBATORE
(Indian Journal of Economics and Development, 2019-01) S, Kavitha; R, Bhuvaneswari
Investment Information is more important for the investors to make a systematic investment decision. In the past, successful decision-making was based on the knowledge garner from traditional media, trade publications, and personal connections. However, with the rise of social media, there is now a faster, more proficient way of gathering data to influence investors’ judgements. Hence this study is trying to analyse the factors namely Company news and information, Industry performance, Market updates, Economic factors and Investor sentiment which persuading the social media usage among the equity investors in Coimbatore District.
A STUDY ON SOCIAL MEDIA INFLUENCE ON PERSONALITY DEVELOPMENT AND ITS IMPACT ON QUALITY OF LIFE WITH SPECIAL REFERENCE TO MILLENNIALS.
(PRERANA: Journal of Management Thought & Practice, 2019-03) S, Kavitha
Social media has changed the life of people in many ways. The highest percentage of social media users are Millennials, also referred to as 'Generation Y' or 'net generation,' who have grown up understanding the power of the Internet. According to Howe and Strauss "Millennial cohort consists of the individuals born between 1982 and 2004 ". These people have grown up with variety of technological advances, such as computers and the Internet. Millennials connectedness has started creating new kinds of relationships which are different from older generation. Many Researchers identified through their research both positive and negative impact of social media on Millennials. Since social media plays a very important role in the life of youngsters, carrying out research on how these media impacts the millennials on the personal growth will be more appropriate in the current situation. The study is proposed with the objectives to identify the different types of use and intensity of use of social media among millennials in Coimbatore city, to understand theinfluence of Social media on the personality development of millennial with special reference to the selected five dimensions namely self-esteem, self-knowledge, talent development, physical and mental health and behavioural changes and its impact on quality of life. Data was collected from 930 college students and results are analyzed using various statistical tools. Based on the results suggestions are given to academicians and employers for the effective use of social media among the millennials.
A STUDY ON THE USAGE OF GOVERNMENT HEALTHCARE PROMOTIONAL PROGRAMMES AMONG WOMEN IN RURAL COIMBATORE
(International journal of basic and applied research, 2018-01) P, Sadhasivam; S, Kavitha; R, Saranya
Health is very important thing in human’s life. The health of Indian women is inherently linked to their status in society. Indian rural women are living with lot of health issues. The government of India launched large number of Government healthcare schemes. These schemes are very useful to meet health problems in India especially in rural areas, but unfortunately all these schemes are not reached to rural areas. This study attempts to measure the level of awareness about government healthcare schemes among rural women and identifies the effective promotional medium. For this study, ten villages in Coimbatore district are selected and data was collected from 135 households through questionnaire. Based on the findings the recommendations are provided for the appropriate authorities for further improvement on the promotional campaigns and to make the health care schemes more effective.
USAGE OF SOCIAL MEDIA AMONG THE EQUITY INVESTORS WITH SPECIAL REFERENCE TO SELECTED STOCK BROKING FIRMS IN COIMBATORE
(Management Today, 2017-12) S, Kavitha; R, Bhuvaneswari
Social media is a rising and emerging trend in the world today. Social media networking allows users to easily and quickly share pictures, ideas, links and messages with other users; theoretically making easy social interaction. It is being used by students, parents, professionals, business people, religious organizations and so on. Nowadays, it is used by investors for gathering and sharing the investment information, better communication and doing research purpose also. One of the survey results showed that getting timely information and industry updates was the most common reason to use social media. This paper has attempted to study about the usage pattern, preference and perception of equity investors towards the social media in Coimbatore city. Data were collected using a structured questionnaire from the equity investors of selected stock broking firms in Coimbatore city. The collected data were analyzed using percentage analysis, Multiple response analysis and Weighted average rank analysis. Results reveal that most of the equity investors aware about the social media and being used effectively in their investment decision making.