In today’s busy world online buying plays an important role in shopping. In this paper, an attempt has been made to find out the B2C online buying trends in Coimbatore district. .A sample of 100 respondents’ was conveniently selected from Coimbatore District. The selected samples are analyzed using simple percentage, chi-square test and correlation analysis test.  It is found that four variables namely age, educational qualification, occupation and monthly income are found to be significant association with consumer satisfaction towards online buying. The study also concluded that educational qualification, occupation, monthly income have significant association with consumers preference towards B2C online buying

Dr. D. T. Venkatakrishnan

English

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International Journal of Interdisciplinary Research in Arts and Humanities (IJIRAH) Impact Factor: 4.675, ISSN (Online): 2456 - 3145 (www.dvpublication.com) Volume 2, Issue 2, 2017 88  A STUDY OF TRENDS IN B2C ONLINE BUYING IN COIMBATORE DISTRICT Dr. D. T. Venkatakrishnan Assistant Professor of Commerce, Government Arts and Science College, Kangayam, Tamilnadu Cite This Article: Dr. D. T. Venkatakrishnan, “A Study of Trends in B2C Online Buying in Coimbatore District”, International Journal of Interdisciplinary Research in Arts and Humanities, Volume 2, Issue 2, Page Number 88-91, 2017. Abstract: In today’s busy world online buying plays an important role in shopping. In this paper, an attempt has been made to find out the B2C online buying trends in Coimbatore district. .A sample of 100 respondents’ was conveniently selected from Coimbatore District. The selected samples are analyzed using simple percentage, chi-square test and correlation analysis test.  It is found that four variables namely age, educational qualification, occupation and monthly income are found to be significant association with consumer satisfaction towards online buying. The study also concluded that educational qualification, occupation, monthly income have significant association with consumers preference towards B2C online buying. Key Words: Online, Buying, Satisfaction, Consumers, E-Commerce & Problem Introduction:           Business to Consumer (B2C) is business or transactions conducted directly between a company and consumers who are the end-users of its products or services. The business-to-consumer as a business model differs significantly from the business-to-business model, which refers to commerce between two or more businesses. While most companies that sell directly to consumers can be referred to as B2C companies, the term became immensely popular during the dotcom boom of the late 1990s, when it was used mainly to refer to online retailers, as well as other companies that sold products and services to consumers through the internet. Trend of Online Buying: Online buying or E-commerce was first introduced in the 1960s via an electronic data interchange (EDI) on value-added networks (VANs). The medium grew with the increased availability of internet access and the advent of popular online sellers in the 1990s and early 2000s. Amazon began operating as a book-shipping business in Jeff Bezos' garage in 1995. EBay, which enables consumers to sell to each other online, introduced online auctions in 1995 and exploded with the 1997 Beanie Babies frenzy. As mobile devices became more popular, mobile commerce has become its own market. With the rise of such sites as Facebook and Twitter, social media has become an important driver of e-commerce. The changing market represents a vast opportunity for businesses to improve their relevance and expand their market in the online world.  Types of E-Commerce:  Business-to-Business (B2B): Business-to-Business (B2B) e-commerce encompasses all electronic transactions of goods or services conducted between companies.   Business-to-Consumer (B2C): The Business-to-Consumer type of e-commerce is distinguished by the establishment of electronic business relationships between businesses and final consumers.   Consumer-to-Consumer (C2C): Consumer-to-Consumer (C2C) type e-commerce encompasses all electronic transactions of goods or services conducted between consumers.   Consumer-to-Business (C2B): In C2B there is a complete reversal of the traditional sense of exchanging goods.   Business-to-Administration (B2A): B2A e-commerce encompasses all transactions conducted online between companies and public administration.   Consumer-to-Administration (C2A): The Consumer-to-Administration model encompasses all electronic transactions conducted between individuals and public administration.  Online Buying Websites in India:  Flipkart.com Univercell.in Infibeam.com Smartshoppers.in Ebay.in Lynx-india.com Shopping.indiatimes.com Mediahome.in Shopping.rediff.com Themobilestore.in Futurebazaar.com Timtara.com Homeshop18.com Ezoneonline.in Yebhi.com Gadgets.in Amazon.com Snapdeal.com ShopClues.Com Jabong. Com Caratlane. Com Naaptol. Com International Journal of Interdisciplinary Research in Arts and Humanities (IJIRAH) Impact Factor: 4.675, ISSN (Online): 2456 - 3145 (www.dvpublication.com) Volume 2, Issue 2, 2017 89  Review of Literature:  Jean Éthier, Pierre Hadaya and Jean Cadieux (2006) explored the impact of the quality of a web site on the cognitive process leading to consumers’ emotions considered as direct antecedents to shopping behaviors and operationalized as mental states of readiness arising from the appraisal of events. A parsimonious theoretical model was defined and tested with data collected from 215 web-shopping episodes during which consumers were shopping for low-touch products. Analysis of the results showed that web site quality had a positive impact on the cognitive appraisal of situational state, which in turn influenced five of the six emotions of the proposed model: liking, joy, pride, dislike, and frustration.  Satyabhusan Dash &K. B. Saji (2008) revealed the role of consumer self-efficacy and website social presence in customer's adoption of B2C online shopping mediated by trust, perceived usefulness, and perceived risk. The most significant outcome of the study is that the consumer self-efficacy and website social-presence affect trust, perceived usefulness and perceived risk in the online customers, and in turn positively influence the customer's intention to purchase products online. Prof. Ashish Bhatt (2014) observed that online shopping is gaining popularity among people specially the younger generation but in today scenario to become equally popular among all age groups e-marketing will have to cover a longer distance. The main objective of this study is to find Consumer Attitude towards Online Shopping in Selected Regions of Gujarat. People from different age groups are doing online shopping regularly. The research paper resulted that attitude of consumers is changing with the time. In a country like India, consumers are finding online shopping very comfortable because of many variables like cash on delivery, customization or personalization of the websites, home delivery etc.  Upasana Kanchan, Naveen Kumar and Abhishek Gupta (2015) revealed that online purchase behaviour of customers in India. The paper stated that online shopping is gaining popularity among people of young generation. Higher income groups and educated people are purchasing more via e-retailing websites and people have hesitations in doing online shopping due to security concerns. Today people are resistant to change because of technological complexity in making online purchase. The research concluded that companies involved in online retailing should focus on building trustworthy relationship between producers and customers. Objectives of the Study:  To study the demographic profile of the B2C online buying consumers in Coimbatore District.  To find the consumers satisfaction towards B2C online buying consumers.  To identify the consumers preference towards B2C online buying consumers in Coimbatore District. Limitations of the Study:  The study is restricted to the selected sample of Coimbatore District and hence the result of the study cannot be generalized.  The statistical methods used to analyze the data have their own limitation.  All the limitations of primary data are applicable to this study. Research Methodology:                               Coimbatore District is the study area.  A total of 100 B2C B2C online buying consumers are taken as sample.  These respondents were conveniently selected in Coimbatore District. Primary data is collected through well structured questionnaire. The collected information were reviewed and consolidated into a master table. For the purpose of analysis the data were further processed by using statistical tools.  The statistical tools are   Simple Percentage  Chi-Square Test  Correlation Analysis Analysis and Interpretation: Demographic Profile of the Respondents: Table no.1 describes the demographic profile of the B2C online buying consumers which is taken for the study. Out of 100 respondents who were taken for the study: it has been identified that most (68%) of the respondents are male, (39%) whose age group is under 26 to 45 years, most (53%) of the respondents are graduates, maximum number (31%) of respondents are professionals, the monthly income of (46%) respondents is  Rs.10,000 to Rs.25,000, (65%) belongs to nuclear family, number of members in respondents family are between 2 to 5, (43%) respondents purchase are influenced through advertisement, (35%) of the respondents purchase electronic items through online, (52%) of the respondents pay cash on delivery for their B2C online buying and (35%) of the respondents purchase monthly through online buying. Table 1: Demographic Profile of the Respondents Factors Number of Respondents N=100 Percentage Gender Male 68 68 Female 32 32 Age (Years) Up to 25 36 36 International Journal of Interdisciplinary Research in Arts and Humanities (IJIRAH) Impact Factor: 4.675, ISSN (Online): 2456 - 3145 (www.dvpublication.com) Volume 2, Issue 2, 2017 90  26 to 45 39 39 Above 45 25 25 Educational Qualification Up to School Level 14 14 Graduate 53 53 PG 33 33 Occupation Professional 31 31 Employee 29 29 Business 26 26 Others 14 14 Monthly Income Up to Rs.10000 22 22 Rs.10000 to Rs.25000 46 46 Above Rs.25000 32 32 Type of Family Joint 35 35 Nuclear 65 65 Number of Members Upto2 24 24 2 to 5 56 56 Above 5 20 20 Influence to Purchase Family 27 27 Advertisement 43 43 Friends/Relatives 30 30 Products purchased through online Clothes/ Accessories 26 26 Tickets 25 25 Electronic Items 35 35 Books/Medicines 14 14 Frequency of Purchase Daily 12 12 Weekly 28 28 Fortnightly 25 25 Monthly 35 35 Mode of Payment Debit cards/Credit cards 48 48 Cash on Delivery 52 52 Table 2: Relationship between the Demographic Profile and Level of Satisfaction towards B2C Online Buying Variables χ2  Value Table Value Remarks Gender 4.789 5.991 NS Age 11.654 9.488 S Occupation 13.987 12.592 S Educational Qualification 11.967 9.488 S Monthly income 13.390 9.488 S Number of Members 6.324 9.488 NS Type of Family 3.852 5.991 NS Relationship between Demographic Variables and Consumers Level of Satisfaction towards B2C Online Buying:  Table no.3 depicts the relationship between selected demographic variables of the consumers and their level of satisfaction towards B2C online buying. It is clear that , the calculated Chi-square value is less than the table value at five percent level, there does not exists any significant association between gender, number of members in family and type of family  of the B2C online buying consumers. Thus the null hypothesis is accepted. It is clear that, the calculated Chi-square value is greater than the table value at five percent level, there exists a significant association between age, occupation, educational qualification and monthly income of the B2C online buying consumers. Thus the null hypothesis is rejected.  International Journal of Interdisciplinary Research in Arts and Humanities (IJIRAH) Impact Factor: 4.675, ISSN (Online): 2456 - 3145 (www.dvpublication.com) Volume 2, Issue 2, 2017 91  Table 3: Online Buying Consumers Preference Associated with Demographic Variables Correlation Analysis Factors R r2 Gender 0.045 0 Age 0.032 0 Educational Qualification 0.078* 0.05 Occupation 0.016* 0.02 Monthly Income 0.99* 0.06 Type of Family 0.059 0.002 * Significant at five percent level     Educational Qualification: Correlation analysis indicates that these two variables are positively correlated indicating that B2C online buying preference is more with respondents who are graduates.  The coefficient of determination (r2) shows that occupation accounts for 5 per cent of the variation in the level of preference at five percent level of significance.  Occupation: Correlation analysis indicates that these two variables are positively correlated indicating that B2C online buying preference is more with respondents who are professionals.  The coefficient of determination (r2) shows that occupation accounts for 2 per cent of the variation in the level of preference at five percent level of significance.  Monthly Income: The correlation analysis shows that these two variables are positively correlated indicating that as the monthly income increases the level of preference of the respondents also increases.  The coefficient of determination (r2) shows that monthly income of the respondents account for 6 percent of variations in the level of preference at five percent level of significance. Conclusion:  B2C online buying in India is growing between 2012 and 2016. Internet penetration is increasing in India due to the increasing base of social networking sites and sale of mobiles India. B2C online buying is one of the most attractive, widely accepted, highly appreciated business in present world. Preference of people towards B2C online buying have changed tremendously. Although the consumers are satisfied with B2C online buying they also face some problems due to many technological and false advertisement. Once consumers problems are taken into consideration with a sharper focus on online business that in turn benefit both companies and consumers.  References: 1. Ali, Pervaiz; Sankaran, Sudha, “Online Shopping Consumer Satisfaction and Loyalty in Norway”, Published by LAP Lambert Academic Publishing (2011)  2. Jean Éthier, Pierre Hadaya and Jean Cadieux B2C web site quality and emotions during online shopping episodes: An empirical study, Information & Management, Volume 43, Issue 5, July 2006, Pages 627-639 3. Gupta, A., Bansal, R., & Bansal, A. (2013). Online shopping: A shining future. International Journal of Techno-Management Research, 1 (1), 1-10. 4. Prashant Singh (2014), Consumers buying behavior towards online shopping, ABHINAV-National Journal of Research in Commerce and Management., ISSN-2277-1166, Vol -III  5. Prof. Ashih Bhatt (2014), Consumers attitude towards online shopping in selected region of Gujarat, Journal of Marketing Management,ISSN-2333-6080,Vol.-02,No.-02  6. Ravjot Kaur, Gurmeet Kaur, Aman Kumar, Gaurav Kumar(2015), Consumers attitude towards online shopping in Chandigarh, International Journal of management and social Sciences, Research, ISSN 2319-4421, Vol-4,  No.-3  7. Satyabhusan Dash & K. B. Saji, The Role of Consumer Self-Efficacy and Website Social-Presence in Customers' Adoption of B2C Online Shopping An Empirical Study in the Indian Context Journal of International Consumer Marketing ,Volume 20, 2008 - Issue 2 8. Upasan Kanchan (2015), A study of online purchase behavior of Consumers in India, ICTACT Journal of management Studies, ISSN 2395, Vol-01,Issue-03  9. Manisha Kinker and N. K. Shukala (2016), An analysis of consumer behavior towards online shopping of Electronic Goods with special reference to Bhopal and Jabalpur city., International Journal of innovations and Applied Studies., ISSN 2028-9324, Vol-14 No..3  10. Malhotra, A. (2010, September 20). Nielsen report on top online shopping trends in India. India social. Retrieved from http://www.indiasocial.in/Nielsen-global-online-shopping-report 11. K. Veerakumar (2016) article titled “A Research on Quality Factors Influencing Online Shopping” International Journal of Engineering Research and Modern Education, Vol-I, Issue-II, July – 2016. P.No.1-5.   

A STUDY OF TRENDS IN B2C ONLINE BUYING IN COIMBATORE DISTRICT

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A STUDY OF TRENDS IN B2C ONLINE BUYING IN COIMBATORE DISTRICT

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