IMPACT OF SOCIO ECONOMIC FACTORS INFLUENCE ONLINE SHOPPING

Since the internet has become a part and parcel of our existence, online shopping sites are burgeoning and getting popular with every passing day. Shopping, the definition and the concept, both have been revolutionized in the recent years. This is an inevitable part of progress, technically and socially. Presently social factors influence the online shopping. So I select this study, Impact of Socio Economic factors Influence online shopping. In this study I use 50 Private, public employees for data collection then this data collection purpose select Thiruvananthapuram city.


Introduction
When you buy a product or a service over the internet, instead of going to a traditional brick-andmortar store, it is called online shopping. Globally, an increasing number of people are buying over the Internet because it is more convenient. You can purchase almost anything onlinestarting with groceries and greeting cards to cell phones and ringtones for the cell phones, everything can be purchased online. While most people still find it convenient to buy their groceries from the neighbourhood shop, many people are purchasing rail and air tickets over the Internet. In addition, people and corporate as well, are also purchasing a variety of services online such as a broking service or job search service.

Research Design
The present study is a sample survey of selected respondents. The respondents were selected from Thiruvananthapuram city through selected Public Private employee. In this research questionnaire were analyzed and interpreted using simple percentage table for tabular analysis and formulated hypotheses so as to know more about the topic understudy.

Primary Data
The primary data for gathering the answers was an online questionnaire, which was sent to selected sample via email invitation. 50 respondents for data collections.

Secondary Data
Secondary resource provide initial insight into the research problem and include both raw data and published summaries, sources, such as, articles, books, journals, etc. In this research secondary data was mainly collected from Google Scholar website (http://scholar.google.com) which provides so many articles and researches.

Tools For Analysis
Percentage, hypothesis are used tools for data analysis

Objectives of the Study
1) To find out the Areas of living Influence online shopping.
2) To analysis the economic factors influence online shopping.
3) To study on social factors influence online shopping. . The table no 4. 1 exhibited that majority of the male respondents shopping online, secondly female respondents shopping online.  AAbove -44 10 20 Total 50 100

Education
The table no 4.4 shows that majority of the respondents are age group of between 25 -34,secondly 18-24 age of respondents using online shopping, next above-44 age group of the respondents using online shopping ,lastly under -18 age group of the respondents using online shopping. The   The Table no 4. 6 shows that majority of respondents shopping online with help of friends ie 30%, Secondly the respondents shopping online own ie 14%, next the respondents shopping online with help of others and with help of Father ie.12%, next the respondents shopping online with help of spouse, lastly the respondents shopping online with help of children.    The table no:9 exhibited that majority of the ie 30% respondents value of the wealth is Above-4000001, next 26% of the respondents value of the wealth is 3000001-4000000, next 24% of the respondents value of the wealth is 2000001-3000000, next 14% of the respondents value of the wealth is 1000001-2000000, lastly 6% of the respondents value of the wealth is Below -1000000.   24% of the respondents family income 40001-50000,28 % of the respondents family income Above -50001. The table no -4. 12shows that 30 % of the respondents family members shopping online, 70 % of the respondents family members not shopping online. The table no 4.13 exhibited that 14% of the respondents Under -18 years starting online shopping, 16% of the respondents between 18-24 years starting online shopping, 26% of the between 25 -34years starting online shopping, 24% of the respondents between 35-44 years starting online shopping,20% of the respondents Above -44 years starting online shopping.  15  30  3  3 Years  11  22  4 Above -3 Years 7 14 50 100

How Many Years are You Stared Online Shopping?
The

Hypothesis
1) There is no relationship between Area of living and online shopping since the computed value of (17.12) is greater than the tabulated value of (9.49), H0 (null) hypothesis shall be rejected This shows that Ares of living is influence the online shopping There is no relationship between Education and online shopping. 2) Since the computed value of (17.12) is greater than the tabulated value of (9.49), H0 (null) hypothesis shall be rejected this shows that Education is influence the online shopping.
There is no relationship between Income level and online shopping. 3) Since the computed value of (17.12) is greater than the tabulated value of (9.49), H0 (null) hypothesis shall be rejected this shows that Income level is influence the online shopping.
There is no relationship between Value of wealth and online shopping. 4) Since the computed value of (13.34) is less than the tabulated value of (15.5), H0 (null) hypothesis shall be accepted This shows that Value of the wealth is not influence the online shopping.

5) There is no relationship between Age and online shopping
Since the computed value of (12.45) is less than the tabulated value of (15.5), H0 (null) hypothesis shall be accepted this shows that Age is not influence the online shopping.

Conclusion
This study conclude that socio economic factors influencing online shopping ie education, Income level, Area of living etc. India is one of the nation for growth of online shopping. Improving socio economic factors and awareness of the individual is main reasons for growth for online shopping. Presently all transactions are cashless deals is also influence the growth online shopping.