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International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Volume VI, Issue VI, June 2017 | ISSN 2278-2540
www.ijltemas.in Page 109
Conceptualizing a Model for Online Shopping
Intension: A Literature Review
Bikas Chandra Mandal1
, Dr. Soma Sur2
1
Assistant Professor, MBA Department, Institute of Engineering and Management, Salt Lake, Kolkata, West Bengal, India
2
Professor, Department of Commerce and Management, West Bengal State University, Barasat, West Bengal, India
Abstract: - Internet marketing and online shopping have opened
the gates not only for big, small and medium enterprises (SMEs),
it has created immense opportunities for startups of India, to
market their products (both goods and services) globally. But
though there is significant development of the internet
technologies, internet facilities and services, still the online sale is
not significant compared to the sale through retail. Hence, this
study is undertaken to find the factors that will improve online
sales. The literature available in the internet is reviewed to
understand and find the influencing factors for online shopping.
The findings are that there are two major categories of
influencing factors, namely motivating and restricting factors,
which affects the customers’ intension to use online shopping for
purchase. Based on these findings a model has been
conceptualized. In the proposed model, the construct variables
are motivating factors and restricting factors and the dependent
variable is intension to buy online.
Key words: Internet marketing, online shopping, e-tailing, web
stores, influencing factors for online shopping, restricting factors
for online shopping, online buying attitude, and intension to buy
online.
I. INTRODUCTION
Background
The IT revolution and continuous development of network
technology is facilitating high growth rate of e-commerce.
Internet has provided e-tailing as an alternative distribution
channel for sales and distribution, which is growing at a very
fast pace all over the world. In the fast changing world, web
stores or e-tailing is becoming new sales model unfurling
immense business opportunities not only for large enterprises,
but also for small and medium enterprises (SMEs) throughout
the world. This has great impact on the development of the
economy of any country in the world. India having one of the
largest technical manpower and the highest percentage of
young generation in the world, has the immense potential for
the growth of the industry and the economy.
Online shopping is a better alternative as it is more
comfortable than buying from retail, which is usually
associated with anxiety, traffic jam, time limitation, parking
problem etc. (Yulihasri et al., 2011). Today, online shopping
is convenient for customers like working women with
children, employees with hectic schedules, disable persons
and others who may not have the time to spare for buying
from retail outlets. (Khalil et al., 2014). But the growth of
online shopping is relatively lagging, compared to the pace of
development of internet technology, because most of the
internet users were not switching to online shopping and still
remaining as web browser (Wang et al., 2008). The
proportion of online sales to total retail business is still small
(Sinha et al., 2012). Though internet facilities and services in
India are developing rapidly even in tier-II cities, but to make
customers accept and use online stores for purchasing, it is
essential for the web portals to understand the customers’
attitude and concerns towards online shopping, assess the
various factors which influence the customers’ attitude and
resolve them through innovative strategies (Murali et al.
(2014). As customers’ tastes, attitudes and behaviors change
over time, continuous study about the customers’ behavior
and perception is needed to help companies to frame
appropriate marketing strategies for the development of the e-
tailing business (Shabeer, 2014). Moreover, the beliefs and the
value system, cultural values, social outlook, attitudes, needs
for satisfaction change over time specially in developing
countries like India, due to technological and all round
development of the society at large.
II. PURPOSE OF THE STUDY
This paper attempts to do the literature survey and analyze the
previous research studies to identify the factors that influence
the decision of customers to use online shopping for
purchasing. The results of this study will help the e-tailing
organizations to develop internet marketing strategies and
design marketing programs to make more and more customers
switch to online shopping, which will contribute to the growth
of the Indian economy.
The paper has been divided into 7 sections, named as:
Introduction (giving details of the background of the study
and purpose of the study), Literature Review (providing
information of what other researchers have found from their
studies about the factors affecting the decision of customers to
purchase online), Research Objectives (which will provide the
direction of the study), Research Methodology (in which the
method of conducting the research is explained). Findings
(where the results of various studies will be discussed and
International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Volume VI, Issue VI, June 2017 | ISSN 2278-2540
www.ijltemas.in Page 110
interpreted), Conclusion (where results will be concluded and
limitations of the research will explained) and Directions of
Future Research (which will guide further research).
III. LITERATURE REVIEW
Wang et al., (2008) did an exploratory research by reviewing
the works of domestic and foreign scholars and summarized
that in retail the purchase decision of customers are
comprehensive actions of cultural factors (culture, subculture,
social stratum), social factors (reference group, family, role
and status), personal factors (age, career, economic status, life
style, self-concept), and psychological factors (motivation,
sensory, learning, belief, attitude). But the factors that
influence for buying online in China are payment security,
web site visibility, online shops credibility, information
comparison, privacy, web site interface, convenient time,
education level (comprehensive quality), experience of using
network. The distrust of the website restricts inexperienced
people from attempting to buy online as they are afraid of
being deceived.
In an empirical study with Indian youth Rishi, B. (2010)
found that the main factors that motivate the Indian youth to
buy online are reliability, accessibility and convenience.
Reluctance and preference are the two decisional factors for
buying online or offline. In a research study in an institution
of higher learning in Malaysia, Yulihasri et al. (2011),
concluded that compatibility, usefulness, ease of use and
security, normative beliefs and self-efficacy are important
predictors for doing on-line shopping. Hsu et al. (2012)
conducted a research with Mongolian consumers in Taiwan
and found that innovativeness, perceived benefits and
perceived risk are important determining factors for online
shopping. Sinha et al. (2012) in their research study with 143
experienced internet users, in India found that the important
stimuli towards using Internet for shopping are convenience,
perceived product risk, perceived financial risk, perceived
non-delivery risk and technology specific innovativeness for
males and convenience and attitude for females. They
suggested for money back guarantee, insured and assured
delivery to reduce the risk factors. According to Yousaf et al.
(2012), though the most important factors that can persuade
the customer's online buying decision, is delivery cost for
purchased items, but perceived risk, perceived convenience
and perceived enjoyment also influence to shop online.
Drawing a sample of 200 higher-education students from
Indore, Sharma et al., (2013) studied the various factors that
may influence the decision to shop online. They observed that
convenience, internet traits, and attitudinal traits have
influence on online shopping decision of young students,
while perceived risk (financial risk, privacy, security) and
product guarantee/warrantee restricts them to shop online.
Uzun et al. (2014) conducted a study for consumer electronics
products with 104 Bosnian respondents, consisting both
online and offline shoppers. They noticed that the most
essential parameter, which affects the decision to shop online
were convenience, and trust followed by prices and quality of
products. The respondents were very suspicious because of
cheating and fraud on the Internet. Khalil et al. (2014)
observed in their research study in Soudi Arabia that the
factors affecting the decision to purchase online are the price,
trust, convenience and recommendations. Khanh et al. (2014)
conducted research in Vietnam focusing on university
students, consisting mainly male respondents. This study
revealed that perceived economic benefits, perceived
merchandise, and perceived payment benefits have significant
impact on adopting online shopping. The growth of e-
commerce in Vietnam was very difficult, because of the fear
of risk taking while buying through online. Laxmi (2014)
concluded that youths of India, while buying apparels and
electronic goods through internet prefers cash on delivery.
Security and network reliability are the major concerns which
refrains customers from online shopping. Murali et al. (2014)
collected data from 250 internet users from tier II cities of
Andhra Pradesh, India. This research analysis revealed that
security, shipping charges, convenience, pleasant experience,
trust, need, accessibility, service, product delivery, reliability
and quality were the important factors that influence to
purchase from online stores. Based on the research study with
students of a B-school in India, Patil et al. (2014) identified
that delivery mode, post purchase experience, safety and
security, information quality, and website design were the
major factors that affects the decision of young generation
while selecting a website for purchasing. Sen (2014) selected
150 respondents in Kolkata, India to identify the factors that
influence the online purchase of products in Kolkata. The
study revealed that the cost factor (lower price, discounts and
other sales promotional offers) , convenience (shop at home
and saving time), product information, and seller related
factor (unavailability and unawareness of the seller) were the
four important factors in the order of importance that
influence to purchase the products online. According to
Shabeer (2014) in rural areas of Kerala in India, the
encouraging factors for shopping online are low price, greater
selection of products, saves time, rare products availability,
convenient store hours, variety of stores, novel experience of
shopping in the order of importance. The discouraging factors
are product cannot be examined, delivery system, lack of
confidence in the security, product may be of inferior quality,
web page is not user friendly, slow speed internet connection,
lack of customer support representatives in the order of
importance. Ganapathi, R. (2015) found in the research study
in Chennai, India that convenience, security, website features
and time saving affected the purchasing decision of online
shoppers. Nittala, R. (2015) in the study in Andhra Pradesh in
India, identified that perceived risk and price have impact on
purchasing online. Prashar et al. (2015) reduced the
comprehensive set of twenty-four variables into six important
factors, namely, transaction security, augmented benefits, user
experience, cognitive stimuli, personalized assurance and web
International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Volume VI, Issue VI, June 2017 | ISSN 2278-2540
www.ijltemas.in Page 111
atmospherics that affects the selection of web store. As
presented by Akbar et al. (2015), the important influencers
from highest to lowest were price, refund, convenience,
auction websites, security, brand, search engines, promotion
and online shopping malls to accept online shopping.
IV. RESEARCH OBJECTIVES
1) To identify the motivating factors for online
shopping.
2) To identify the restricting factors for online
shopping.
3) To conceptualize an online shopping intension
model.
V. RESEARCH METHODOLOGY
The present study is a literature review. Hence the related past
research studies, which are available in the internet in
published form have been consulted. The literature both
international and national have been reviewed in
chronological order. The literature, which are available and
relevant to the objectives of the study, have been referred.
VI. FINDINGS
Most of the researchers have identified the influencing factors
for online shopping. Few of them noticed that out of these
influencing factors, some factors restrict or discourage the
customer to shop online. But if one analyses these factors
together, one will be able to see the emergence of two
important specific categories of factors, namely motivating
and restricting factors, which need different treatments by the
e-tailers for the growth of the online sales.
After analysis it can be summarized that the motivating
factors for online shopping are convenience, convenient store
hours, time saving, variety of stores, website design,
usefulness, innovativeness, accessibility, promotion, low
price, shipping cost, recommendations, payment options (cash
on delivery), web site visibility, product information quality,
information comparison, pleasant experience, delivery mode,
post purchase service experience, greater selection of
products, rare products availability, and augmented benefits.
The restrictive factors for online shopping are ease of use,
trust, reliability, transaction security risk, perceived product
quality risk, perceived financial risk, perceived non-delivery
risk, privacy of personal information, inexperience, internet
comprehensibility, refund option, brand image, product cannot
be examined, slow internet connection, insufficient customer
support, product guarantee/warrantee.
Based on these findings an online shopping intention model
has been conceptualized. The motivating factors and
restrictive factors are the construct variables, which can be
examined to find the effect on the intention to purchase
online. Most of the scales for measuring these construct
variables have been developed from the findings of this
literature review and some new factors have been added by us
to meet the objectives of the study.
Figure 1 : Conceptual model for online shopping buying intension
Website related factors
Convenience factors
Product related factors
Payment options
Shopping experience
Price experience
Service experience
Word of mouth *
Return policy
Reverse logistics *
Delivery options *
Online
shopping
intension
Restricting
factors
Ease of use
Trust
Reliability
Security of transaction
Privacy of information
Inexperience
Internet incomprehensibility
Product quality risk
Non-delivery risk
Brand image
Product guarantee/warrantee
Product testing *
Motivating
factors
International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Volume VI, Issue VI, June 2017 | ISSN 2278-2540
www.ijltemas.in Page 112
The proposed conceptual model will help to understand the
effects of construct variables and scale variables on intention
to buy online.
VII. CONCLUSION
Many researchers have identified and verified the relationship
of the influencing factors on online shopping intension, but
considered few factors in isolation. Moreover, these have
been done in different countries having diverse cultural,
social, personal and psychological factors, which affects the
attitude and behavior of customers. Hence, for examining the
applicability of these factors in India, it is necessary to
assimilate all these factors and to study the impact of these
factors on purchase intension of customers using descriptive
research. The results have been summarized, based on the
availability of information in the internet. Hence, there might
be more studies, which are not consulted, which limits its
generalizability.
VIII. DIRECTIONS FOR FUTURE RESEARCH
Though many researchers have found the influencing factors
towards online shopping attitude, but there is limited study in
differentiating between motivating and restricting factors. But
these two factors require different approaches and strategies.
Hence, the present researchers propose to conduct an
empirical research to test this proposed conceptual model to
find the effect of the construct variables selected from the
results of this study, on intension to shop online, the
dependent variable. The model will be tested using Structural
Equation Modeling (SEM). The result of this research will
help the e-tailing organizations of India to frame business
strategies in internet marketing to increase the online sales,
which will contribute to the economic growth of India.
REFERENCES
[1]. Akbar, S. & James, P.T.J. Consumers’ attitude towards online
shopping: Factors influencing employees of crazy domains to shop
online. Journal of Management and Marketing Research, Vol. 14,
pp. 1-11
[2]. Ganapathi, R. (2015). A study on factors affecting online
shopping behavior of consumers in chennai, Journal of
management research and analysis, Vol. 2, No. 2, pp.123-126
[3]. Hsu, S. H. & Bayarsaikhan, B. E. (2012). Factors Influencing on
Online Shopping Attitudeand Intention of Mongolian Consumers.
The Journal of International Management Studies, Vol. 7, No. 2,
pp. 167-176
[4]. Khanh, N. T. V. & Gim, G. (2014). Factors Affecting the Online
Shopping Behavior: An Empirical Investigation in Vietnam. Int.
Journal of Engineering Research and Applications, Vol. 4, Issue 2(
Version 1), pp.388-392
[5]. Laxmi (2014). A study on Factors of Online Shopping Behaviour.
ACADEMICIA: An International Multidisciplinary Research
Journal, Vol (4), No. 1, pp. 120-140 ; Available at : <http://www.
ischolar.in/index.php/Imrj/article/view/47008. Date accessed: 19
th Feb. 2016.
[6]. Murali, S. R. & Mallikarjuna, V. (2014). Factors influencing
Consumer Attitude towards online shopping in tier-II cities of A.P.
MITS International Journal of Business Research , Vol. 1, Issue 1
[7]. Nahla Khalil. N. (2014). Factors affecting the consumer’s attitudes
on online shopping in Saudi Arabia. International Journal of
Scientific and Research Publications, Vol. 4, Issue 11, pp.1-8
[8]. Nittala, R. (2015). Factors Influencing Online Shopping Behavior
of Urban Consumers in India, International Journal of Online
Marketing ; Vol 5, No 1, pp. 38-50
[9]. Patil, S., Desai, A. & Handa, A. (2014). To Appraise the Factors
Influencing Generation Y while Choosing a Website for Online
Shopping. Excel International Journal of Multidisciplinary
Management Studies , Vol 4, No 1, pp. 191-196
[10]. Prashar, S., Vijay, T. S. & Parsad, C. (2015). Antecedents to
Online Shopping: Factors Influencing the Selection of Web Portal.
International Journal of E-Business Research, Vol 11, No 1, pp:
35-55
[11]. Rishi, B. (2010). Motivators and decisional influencers of online
shopping. Int. J. of Business Innovation and Research,Vol.4, No.3,
pp.195 – 209
[12]. Sen, R. A. (2014). Online Shopping: A Study of the Factors
Influencing Online Purchase of Products in Kolkata. International
Journal of Management and Commerce Innovations (Online), Vol.
2, Issue 1, pp. 44-52, Available at: www.researchpublish.com
[13]. Shabeer, V. P. (2014). Factors that influence rural consumers in
kerala towards online shopping. Sai Om Journal of Commerce &
Management, Vol. 1, Issue 12, pp. 1-5
[14]. Sharma, S. & Sitlani, M. (2013). Online Shopping among Higher
Education Students in Indore: A Factor Analysis Approach. Indian
Journal of Marketing, Vol. 43, No 1, pp. 44-53
[15]. Sinha, J. & Kim, J. (2012). Factors affecting Indian consumers’
online buying behavior, Innovative Marketing, Vol. 8, Issue 2, pp.
46-57
[16]. Uzun, H. & Poturak, M. (2014). Factors Affecting Online
Shopping Behavior of Consumers. European Journal of Social and
Human Sciences, 2014, Vol.(3), No 3, pp. 163-170
[17]. Wang, N., Liu, D. & Cheng, J. (2008). Study on the Influencing
Factors of Online Shopping. Proceedings of the 11th Joint
Conference on Information Sciences, Published by Atlantis Press,
pp. 1-4
[18]. Yousaf, U., Altaf, M., Sarwar, N., Shah, S.A.H. (2012). Hesitancy
towards online shopping, a study of Pakistani consumers,
management & marketing, Vol. x, Issue 2, pp. 273-284
[19]. Yulihasri, Islam, M. A., & Daud, K.A.K. (2011). Factors that
Influence Customers’ Buying Intention on Shopping Online.
International Journal of Marketing Studies Vol. 3, No. 1, pp.128-
139

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Conceptualizing a Model for Online Shopping Intension: A Literature Review

  • 1. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) Volume VI, Issue VI, June 2017 | ISSN 2278-2540 www.ijltemas.in Page 109 Conceptualizing a Model for Online Shopping Intension: A Literature Review Bikas Chandra Mandal1 , Dr. Soma Sur2 1 Assistant Professor, MBA Department, Institute of Engineering and Management, Salt Lake, Kolkata, West Bengal, India 2 Professor, Department of Commerce and Management, West Bengal State University, Barasat, West Bengal, India Abstract: - Internet marketing and online shopping have opened the gates not only for big, small and medium enterprises (SMEs), it has created immense opportunities for startups of India, to market their products (both goods and services) globally. But though there is significant development of the internet technologies, internet facilities and services, still the online sale is not significant compared to the sale through retail. Hence, this study is undertaken to find the factors that will improve online sales. The literature available in the internet is reviewed to understand and find the influencing factors for online shopping. The findings are that there are two major categories of influencing factors, namely motivating and restricting factors, which affects the customers’ intension to use online shopping for purchase. Based on these findings a model has been conceptualized. In the proposed model, the construct variables are motivating factors and restricting factors and the dependent variable is intension to buy online. Key words: Internet marketing, online shopping, e-tailing, web stores, influencing factors for online shopping, restricting factors for online shopping, online buying attitude, and intension to buy online. I. INTRODUCTION Background The IT revolution and continuous development of network technology is facilitating high growth rate of e-commerce. Internet has provided e-tailing as an alternative distribution channel for sales and distribution, which is growing at a very fast pace all over the world. In the fast changing world, web stores or e-tailing is becoming new sales model unfurling immense business opportunities not only for large enterprises, but also for small and medium enterprises (SMEs) throughout the world. This has great impact on the development of the economy of any country in the world. India having one of the largest technical manpower and the highest percentage of young generation in the world, has the immense potential for the growth of the industry and the economy. Online shopping is a better alternative as it is more comfortable than buying from retail, which is usually associated with anxiety, traffic jam, time limitation, parking problem etc. (Yulihasri et al., 2011). Today, online shopping is convenient for customers like working women with children, employees with hectic schedules, disable persons and others who may not have the time to spare for buying from retail outlets. (Khalil et al., 2014). But the growth of online shopping is relatively lagging, compared to the pace of development of internet technology, because most of the internet users were not switching to online shopping and still remaining as web browser (Wang et al., 2008). The proportion of online sales to total retail business is still small (Sinha et al., 2012). Though internet facilities and services in India are developing rapidly even in tier-II cities, but to make customers accept and use online stores for purchasing, it is essential for the web portals to understand the customers’ attitude and concerns towards online shopping, assess the various factors which influence the customers’ attitude and resolve them through innovative strategies (Murali et al. (2014). As customers’ tastes, attitudes and behaviors change over time, continuous study about the customers’ behavior and perception is needed to help companies to frame appropriate marketing strategies for the development of the e- tailing business (Shabeer, 2014). Moreover, the beliefs and the value system, cultural values, social outlook, attitudes, needs for satisfaction change over time specially in developing countries like India, due to technological and all round development of the society at large. II. PURPOSE OF THE STUDY This paper attempts to do the literature survey and analyze the previous research studies to identify the factors that influence the decision of customers to use online shopping for purchasing. The results of this study will help the e-tailing organizations to develop internet marketing strategies and design marketing programs to make more and more customers switch to online shopping, which will contribute to the growth of the Indian economy. The paper has been divided into 7 sections, named as: Introduction (giving details of the background of the study and purpose of the study), Literature Review (providing information of what other researchers have found from their studies about the factors affecting the decision of customers to purchase online), Research Objectives (which will provide the direction of the study), Research Methodology (in which the method of conducting the research is explained). Findings (where the results of various studies will be discussed and
  • 2. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) Volume VI, Issue VI, June 2017 | ISSN 2278-2540 www.ijltemas.in Page 110 interpreted), Conclusion (where results will be concluded and limitations of the research will explained) and Directions of Future Research (which will guide further research). III. LITERATURE REVIEW Wang et al., (2008) did an exploratory research by reviewing the works of domestic and foreign scholars and summarized that in retail the purchase decision of customers are comprehensive actions of cultural factors (culture, subculture, social stratum), social factors (reference group, family, role and status), personal factors (age, career, economic status, life style, self-concept), and psychological factors (motivation, sensory, learning, belief, attitude). But the factors that influence for buying online in China are payment security, web site visibility, online shops credibility, information comparison, privacy, web site interface, convenient time, education level (comprehensive quality), experience of using network. The distrust of the website restricts inexperienced people from attempting to buy online as they are afraid of being deceived. In an empirical study with Indian youth Rishi, B. (2010) found that the main factors that motivate the Indian youth to buy online are reliability, accessibility and convenience. Reluctance and preference are the two decisional factors for buying online or offline. In a research study in an institution of higher learning in Malaysia, Yulihasri et al. (2011), concluded that compatibility, usefulness, ease of use and security, normative beliefs and self-efficacy are important predictors for doing on-line shopping. Hsu et al. (2012) conducted a research with Mongolian consumers in Taiwan and found that innovativeness, perceived benefits and perceived risk are important determining factors for online shopping. Sinha et al. (2012) in their research study with 143 experienced internet users, in India found that the important stimuli towards using Internet for shopping are convenience, perceived product risk, perceived financial risk, perceived non-delivery risk and technology specific innovativeness for males and convenience and attitude for females. They suggested for money back guarantee, insured and assured delivery to reduce the risk factors. According to Yousaf et al. (2012), though the most important factors that can persuade the customer's online buying decision, is delivery cost for purchased items, but perceived risk, perceived convenience and perceived enjoyment also influence to shop online. Drawing a sample of 200 higher-education students from Indore, Sharma et al., (2013) studied the various factors that may influence the decision to shop online. They observed that convenience, internet traits, and attitudinal traits have influence on online shopping decision of young students, while perceived risk (financial risk, privacy, security) and product guarantee/warrantee restricts them to shop online. Uzun et al. (2014) conducted a study for consumer electronics products with 104 Bosnian respondents, consisting both online and offline shoppers. They noticed that the most essential parameter, which affects the decision to shop online were convenience, and trust followed by prices and quality of products. The respondents were very suspicious because of cheating and fraud on the Internet. Khalil et al. (2014) observed in their research study in Soudi Arabia that the factors affecting the decision to purchase online are the price, trust, convenience and recommendations. Khanh et al. (2014) conducted research in Vietnam focusing on university students, consisting mainly male respondents. This study revealed that perceived economic benefits, perceived merchandise, and perceived payment benefits have significant impact on adopting online shopping. The growth of e- commerce in Vietnam was very difficult, because of the fear of risk taking while buying through online. Laxmi (2014) concluded that youths of India, while buying apparels and electronic goods through internet prefers cash on delivery. Security and network reliability are the major concerns which refrains customers from online shopping. Murali et al. (2014) collected data from 250 internet users from tier II cities of Andhra Pradesh, India. This research analysis revealed that security, shipping charges, convenience, pleasant experience, trust, need, accessibility, service, product delivery, reliability and quality were the important factors that influence to purchase from online stores. Based on the research study with students of a B-school in India, Patil et al. (2014) identified that delivery mode, post purchase experience, safety and security, information quality, and website design were the major factors that affects the decision of young generation while selecting a website for purchasing. Sen (2014) selected 150 respondents in Kolkata, India to identify the factors that influence the online purchase of products in Kolkata. The study revealed that the cost factor (lower price, discounts and other sales promotional offers) , convenience (shop at home and saving time), product information, and seller related factor (unavailability and unawareness of the seller) were the four important factors in the order of importance that influence to purchase the products online. According to Shabeer (2014) in rural areas of Kerala in India, the encouraging factors for shopping online are low price, greater selection of products, saves time, rare products availability, convenient store hours, variety of stores, novel experience of shopping in the order of importance. The discouraging factors are product cannot be examined, delivery system, lack of confidence in the security, product may be of inferior quality, web page is not user friendly, slow speed internet connection, lack of customer support representatives in the order of importance. Ganapathi, R. (2015) found in the research study in Chennai, India that convenience, security, website features and time saving affected the purchasing decision of online shoppers. Nittala, R. (2015) in the study in Andhra Pradesh in India, identified that perceived risk and price have impact on purchasing online. Prashar et al. (2015) reduced the comprehensive set of twenty-four variables into six important factors, namely, transaction security, augmented benefits, user experience, cognitive stimuli, personalized assurance and web
  • 3. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) Volume VI, Issue VI, June 2017 | ISSN 2278-2540 www.ijltemas.in Page 111 atmospherics that affects the selection of web store. As presented by Akbar et al. (2015), the important influencers from highest to lowest were price, refund, convenience, auction websites, security, brand, search engines, promotion and online shopping malls to accept online shopping. IV. RESEARCH OBJECTIVES 1) To identify the motivating factors for online shopping. 2) To identify the restricting factors for online shopping. 3) To conceptualize an online shopping intension model. V. RESEARCH METHODOLOGY The present study is a literature review. Hence the related past research studies, which are available in the internet in published form have been consulted. The literature both international and national have been reviewed in chronological order. The literature, which are available and relevant to the objectives of the study, have been referred. VI. FINDINGS Most of the researchers have identified the influencing factors for online shopping. Few of them noticed that out of these influencing factors, some factors restrict or discourage the customer to shop online. But if one analyses these factors together, one will be able to see the emergence of two important specific categories of factors, namely motivating and restricting factors, which need different treatments by the e-tailers for the growth of the online sales. After analysis it can be summarized that the motivating factors for online shopping are convenience, convenient store hours, time saving, variety of stores, website design, usefulness, innovativeness, accessibility, promotion, low price, shipping cost, recommendations, payment options (cash on delivery), web site visibility, product information quality, information comparison, pleasant experience, delivery mode, post purchase service experience, greater selection of products, rare products availability, and augmented benefits. The restrictive factors for online shopping are ease of use, trust, reliability, transaction security risk, perceived product quality risk, perceived financial risk, perceived non-delivery risk, privacy of personal information, inexperience, internet comprehensibility, refund option, brand image, product cannot be examined, slow internet connection, insufficient customer support, product guarantee/warrantee. Based on these findings an online shopping intention model has been conceptualized. The motivating factors and restrictive factors are the construct variables, which can be examined to find the effect on the intention to purchase online. Most of the scales for measuring these construct variables have been developed from the findings of this literature review and some new factors have been added by us to meet the objectives of the study. Figure 1 : Conceptual model for online shopping buying intension Website related factors Convenience factors Product related factors Payment options Shopping experience Price experience Service experience Word of mouth * Return policy Reverse logistics * Delivery options * Online shopping intension Restricting factors Ease of use Trust Reliability Security of transaction Privacy of information Inexperience Internet incomprehensibility Product quality risk Non-delivery risk Brand image Product guarantee/warrantee Product testing * Motivating factors
  • 4. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) Volume VI, Issue VI, June 2017 | ISSN 2278-2540 www.ijltemas.in Page 112 The proposed conceptual model will help to understand the effects of construct variables and scale variables on intention to buy online. VII. CONCLUSION Many researchers have identified and verified the relationship of the influencing factors on online shopping intension, but considered few factors in isolation. Moreover, these have been done in different countries having diverse cultural, social, personal and psychological factors, which affects the attitude and behavior of customers. Hence, for examining the applicability of these factors in India, it is necessary to assimilate all these factors and to study the impact of these factors on purchase intension of customers using descriptive research. The results have been summarized, based on the availability of information in the internet. Hence, there might be more studies, which are not consulted, which limits its generalizability. VIII. DIRECTIONS FOR FUTURE RESEARCH Though many researchers have found the influencing factors towards online shopping attitude, but there is limited study in differentiating between motivating and restricting factors. But these two factors require different approaches and strategies. Hence, the present researchers propose to conduct an empirical research to test this proposed conceptual model to find the effect of the construct variables selected from the results of this study, on intension to shop online, the dependent variable. The model will be tested using Structural Equation Modeling (SEM). The result of this research will help the e-tailing organizations of India to frame business strategies in internet marketing to increase the online sales, which will contribute to the economic growth of India. REFERENCES [1]. Akbar, S. & James, P.T.J. Consumers’ attitude towards online shopping: Factors influencing employees of crazy domains to shop online. Journal of Management and Marketing Research, Vol. 14, pp. 1-11 [2]. Ganapathi, R. (2015). A study on factors affecting online shopping behavior of consumers in chennai, Journal of management research and analysis, Vol. 2, No. 2, pp.123-126 [3]. Hsu, S. H. & Bayarsaikhan, B. E. (2012). Factors Influencing on Online Shopping Attitudeand Intention of Mongolian Consumers. The Journal of International Management Studies, Vol. 7, No. 2, pp. 167-176 [4]. Khanh, N. T. V. & Gim, G. (2014). Factors Affecting the Online Shopping Behavior: An Empirical Investigation in Vietnam. Int. Journal of Engineering Research and Applications, Vol. 4, Issue 2( Version 1), pp.388-392 [5]. Laxmi (2014). A study on Factors of Online Shopping Behaviour. ACADEMICIA: An International Multidisciplinary Research Journal, Vol (4), No. 1, pp. 120-140 ; Available at : <http://www. ischolar.in/index.php/Imrj/article/view/47008. Date accessed: 19 th Feb. 2016. [6]. Murali, S. R. & Mallikarjuna, V. (2014). Factors influencing Consumer Attitude towards online shopping in tier-II cities of A.P. MITS International Journal of Business Research , Vol. 1, Issue 1 [7]. Nahla Khalil. N. (2014). Factors affecting the consumer’s attitudes on online shopping in Saudi Arabia. International Journal of Scientific and Research Publications, Vol. 4, Issue 11, pp.1-8 [8]. Nittala, R. (2015). Factors Influencing Online Shopping Behavior of Urban Consumers in India, International Journal of Online Marketing ; Vol 5, No 1, pp. 38-50 [9]. Patil, S., Desai, A. & Handa, A. (2014). To Appraise the Factors Influencing Generation Y while Choosing a Website for Online Shopping. Excel International Journal of Multidisciplinary Management Studies , Vol 4, No 1, pp. 191-196 [10]. Prashar, S., Vijay, T. S. & Parsad, C. (2015). Antecedents to Online Shopping: Factors Influencing the Selection of Web Portal. International Journal of E-Business Research, Vol 11, No 1, pp: 35-55 [11]. Rishi, B. (2010). Motivators and decisional influencers of online shopping. Int. J. of Business Innovation and Research,Vol.4, No.3, pp.195 – 209 [12]. Sen, R. A. (2014). Online Shopping: A Study of the Factors Influencing Online Purchase of Products in Kolkata. International Journal of Management and Commerce Innovations (Online), Vol. 2, Issue 1, pp. 44-52, Available at: www.researchpublish.com [13]. Shabeer, V. P. (2014). Factors that influence rural consumers in kerala towards online shopping. Sai Om Journal of Commerce & Management, Vol. 1, Issue 12, pp. 1-5 [14]. Sharma, S. & Sitlani, M. (2013). Online Shopping among Higher Education Students in Indore: A Factor Analysis Approach. Indian Journal of Marketing, Vol. 43, No 1, pp. 44-53 [15]. Sinha, J. & Kim, J. (2012). Factors affecting Indian consumers’ online buying behavior, Innovative Marketing, Vol. 8, Issue 2, pp. 46-57 [16]. Uzun, H. & Poturak, M. (2014). Factors Affecting Online Shopping Behavior of Consumers. European Journal of Social and Human Sciences, 2014, Vol.(3), No 3, pp. 163-170 [17]. Wang, N., Liu, D. & Cheng, J. (2008). Study on the Influencing Factors of Online Shopping. Proceedings of the 11th Joint Conference on Information Sciences, Published by Atlantis Press, pp. 1-4 [18]. Yousaf, U., Altaf, M., Sarwar, N., Shah, S.A.H. (2012). Hesitancy towards online shopping, a study of Pakistani consumers, management & marketing, Vol. x, Issue 2, pp. 273-284 [19]. Yulihasri, Islam, M. A., & Daud, K.A.K. (2011). Factors that Influence Customers’ Buying Intention on Shopping Online. International Journal of Marketing Studies Vol. 3, No. 1, pp.128- 139