A study on future development of U-Commerce in Tamilnadu

DR.R.SHANKAR*

Abstraction

The rapid growth of e-commerce technologies over the past decade has fundamentally

changed the way we conduct business. This trend in expected to accelerate in the coming years

due to a number of different factors, like introduction of new mobile and ubiquitous computing

technologies. The usage of ubiquitous commerce (U-commerce) has brought out a tremendous

change in the business world.

Keywords : Introduction, objectives, features of U-commerce, analysis and interpretation.

Introduction

In the modern technological development the world has undergone a significant wave of

change. Our way of communication and consumer buying goods and services Patten also

changed. Overall world depend upon technological development. Now a days everybody like as

company, person communicate through email, face book, video calling etc, They use the no only

for internet this particular purpose but also buying goods and services also. Telecom Regulatory

Authority of India (TRAI) statistical reports up to March 2016, 14.975 Cr peoples in India are

using Internet facilities. Out of 1.489 Cr people in Tamilnadu, 1.382 Cr people in Madhya

Pradesh, 1.218 Cr people in Karnataka and 1.198 Cr people were using internet services. Internet

user at village level 28.05% in Himachal Pradesh,27.15% Punjab and 24.08% in Tamilnadu. In

this development Internet has totally changed customer buying motive from traditional to online

shopping. The main aim of online costs, which is reduces the price of their product and services

in order to highly competition of markets. Internet services to use of customer not only buying

product and services, on the other hand to compare same product of other company, price,

feature and services facilities that they purchase of product from particular shop.

*Assistant Professor, Department of Commerce, Nehru Arts and Science (Autonomous), Coimbatore(Dt), Tamil Nadu, India. Email Id: drrshan83@gmail.com. Mobile No: 99436 - 49551

U-commerce (Ubiquitous commerce) is a use of ubiquitous networks, including Internet,

mobile phone and digital TV to support personalized and uninterrupted communications

transaction between various types of users. In short, u-commerce is the creation of a marketplace

that reaches individual where they are, at using the devices that they want to use, with the

networks doing the work without the user needing to modify or intervene.

One of most interesting and challenging issues in u-commerce is that this is a world-wide

phenomenon. Another word, the ultimate form of e-commerce and m-commerce in an ‘anytime,

anywhere’ fashion. It involves the use of ubiquitous networks to support personalized and

uninterrupted communications and transactions at a level of value that far exceeds

traditional commerce.

Ubiquitous computing is the enabler for ubiquitous commerce. The term “ubiquitous

computing” was first introduced by Weiser (1993a; 1993b) as a computing environment where

computing devices are seamlessly embedded in the everyday objects of our lives and interwoven

with the physical world through a continuous network. Ubiquitous computing is a socio-

technical phenomenon (Lyytinen et al., 2004). From the technical perspective, ubiquitous

computing refers to a set of computing devices that is enabled by mobile and wireless

technologies and is able to perform an array of tasks automatically or semi-automatically. From

the social perspective, ubiquitous computing provides a means for people to stay connected and

interact with others without the constraints of time and space (Lyytinen et al., 2004). Ubiquitous

computing has emerged as a new wave of computing and has shown great promise for future

applications and markets (Lyytinen et al., 2004).

U-commerce refers to “the use of ubiquitous networks to support personalized and

uninterrupted communications and transactions between a firm and its various take holders to

provide a level of value, above and beyond traditional commerce”(Watson, Pitt, Berthon, &

Zinkhan, 2002) .

Sheng (2006) identified these stakeholders that included customers, suppliers,

governments, financial institutions, managers, employees, and the public at large. Galanxhi-

Janaqi and Nah (2004) identified that u-commerce extends beyond traditional e-commerce by

integrating wireless, television, voice and silent commerce. However, its full realization would

bring something more than the simple.

Objective of the study

To find out the perception of customer to buy product and services using traditional and

online shopping.

To analysis the factors affecting the using internet for shopping (E-Commerce, M-

Commerce, U-Commerce).

To study the competitive pressure amongst traditional and internet shopping in relation to

various product and services.

Methodology

In the studies used for primary as well as secondary data were used.

Primary data was collected with the help of a structure questionnaire and secondary data

was collected from various books, journal and web search material.

Total sample size of the study was 150 the sampling unit consist of those respondents

who are aware of online shopping.

To collected data were analysis percentage table.

Limitation of study

The sample consists of those respondents only who and all are using online shopping.

The study has been completed within a short time.

To studied only Tamil Nadu state and selected people.

Features or characteristics of U-Commerce

Watson mentions in his paper “U-Commerce is divided into four components:

(i).Ubiquity (ii).Uniqueness (iii).University (iv).Unison.

Ubiquity: Every computer will be everywhere, and every device will be connected to the

Internet. It is this omnipresence of computer chips that will make them “invisible,” as people will

no longer notice them (Watson et al., 2002).

Uniqueness: Uniqueness means that the information provided to the users will be easily

customized to their current context and particular needs in specific time and place.

Universality: Uniqueness means that the information provided to users can be customized to

their context and needs at specific time and place.

Unison: Unison means that data is integrated and is uniform across multiple applications, and

users have a consistent view of the information regardless of the device used (Junglas and

Watson 2003).

Data Analysis and Interpretation

Table.1.Sex wise Classification

Sex No of respondents Percentage

Male 97 64.67

Female 53 35.33

Total 150

Source: Primary data

Above table represent sex wise classification of respondent. 64.67 percent of the

respondents are male and 35.33 percent of the respondents are female.

Table.2 Education qualification wise classification

Educational Qualification No of respondents Percentage

Up to +2 22 14.67

UG 37 24.67

PG 28 18.67

Ph.D 34 22.67

M.B.A and M.C.A 29 19.33

Total 150

Source: Primary data

Above table represent education qualification of respondent, 24.67 percent respondents

were studied under graduate level, 22.67 percent respondents were studied Doctor degree, 19.33

percent of respondents were studied M.B.A and M.C.A degree ,18.67 percent of respondents

were studied post graduate level, and 14.67 percent of respondents were studied up to plus two

level.

Table.3.Income wise classification

Income No of respondents Percentage

Below 20,000 18 12.00

20,000 to 40,000 37 24.67

40.000 to 60,000 23 15.33

60,000 to 80,000 20 13.33

Above 1,00,000 52 34.67

Total 150

Source: Primary data

Above table represent income of respondent, 34.67 percent of respondent have earn

monthly income of above 1, 00,000. 24.67 percent of respondent earn a monthly income of

Rs.20, 000 to 40,000. 15.33 percent of respondent earn a monthly income of Rs.40, 000 to

60,000. 13.33 percent of respondent earn a monthly income of Rs.60, 000 to 80,000 and 12

percent of respondent earn a monthly income of below Rs.20, 000.

Table.4. Buying preference to Product

Product Name No of respondents Percentage

Cook items 12 8.00

Dress 24 16.00

Electronic product 62 41.33

Book & Journals 08 5.33

Others 44 29.33

Total 150

Source: Primary Data

Above table reflex that preference to buy a product from online shopping. 41.33 percent

of respondent preference to buy electronic product. 29.33 percent of respondent preference to

buy other product. 16 percent of respondents are preference to buy dress material. 8 percent of

respondents are preference to buy cook items and 5.33 percent of respondents are preference to

buy books and journals.

Table.5. Payment mode

Mode of payment No of respondents Percentage

A/c pay 42 28

Cash on delivery 50 33.33

EMI 58 38.67

Total 150

Source: Primary Data

Above table represent that mode of payment by online buyers,38.67 percent of respondent are

option to EMI, 33.33 percent of respondents are cash on delivery and 28 percent of respondents

are A/c pay.

Table.6. Using technology to way of order a product

Technology No of respondents Percentage

Pc’s 27 18.00

Mobile 62 41.33

Laptop 43 28.67

Others 18 12.00

Total 150

Source: Primary Data

Above table indicate that 41.33 percent of respondent are using mobile phone to order

through online purchase. 28.67 percent of respondents are using laptop to order of product. 18

percent of respondents are using Pc’s to order and 12 percent of respondents are using other way

to order a product.

Table.7. Services of online product

Technology No of respondents Percentage

Good 32 21.33

Very good 24 16.00

Satisfaction 48 32.00

Poor 46 30.67

Total 150

Source: Primary Data

Above table reflex that service of online product. 32 percent of respondents are satisfied

to service of online product. 30.67 percent of respondents are poor services to online product.

21.33 percent of respondents are good services of online product and 16 percent of respondents

are very good services of online product.

Table.8. Quality of online product

Technology No of respondents Percentage

Good 29 19.33

Very good 34 22.67

Satisfaction 72 48.00

Poor 15 10.00

Total 150

Source: Primary Data

In the above table indicate that quality of online product, 48 percent of respondents are

satisfaction, 22.67 percent of respondent are very good for quality of online product, 19.33

percent of respondents are good for quality of online product and 10 percent of respondents are

poor quality for online product.

Table.9. Methods of using technology

Methods Technology No of respondents Percentage

E-Commerce 88 58.67

M-Commerce 47 31.33

U-Commerce 13 8.67

Other methods 02 1.33

Total 150

Source: Primary Data

In the above table represent that method of using technology to buy online product and

services. 58.67 percent of respondents are order of product through e-commerce, 31.33 percent

of respondents are using m-commerce to buy a product, and 8.67 percent of respondents are

using u-commerce to buy a product online and 1.33 percent of respondents only using other way

of purchasing product.

Table.10. Purpose of buying

Purpose No of respondents Percentage

Own 76 50.67

Friends 48 32.00

Relative 26 17.33

Total 150

Source: Primary Data

In the above table reflex that 50.67 percent of respondents were buying online product and

services for own purpose, 32 percent of respondents were buying product for their friends and

17.33 percent of respondents were buying product for relative.

Findings

64.67 percent of male respondents are using online product.

24.67 percent respondents were studied under graduate level.

34.67 percent of respondent have earn monthly income of above 1, 00,000.

41.33 percent of respondent preference to buy electronic product.

38.67 percent of respondent are option to EMI.

41.33 percent of respondent are using mobile phone to order through online purchase.

32 percent of respondents are satisfied to service of online product.

48 percent of respondents are satisfaction for quality of online product and services.

58.67 percent of respondents are order of product through e-commerce.

50.67 percent of respondents are buying their own purpose.

Conclusion

To conclude, U-commerce can be reached to every nook and corner of the world by

giving offer for the commodities and establishing internet facility available even to all the remote

villages. By doing so, we can bring out awareness among people and they can be benefited a lot

in terms of money and time.

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