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The Impact Of e-Service Quality
and e W-O-M e-Loyalty
Submitted By:
īƒ˜Arshdeep Singh
īƒ˜Saurabh Meena
īƒ˜Manisha Rani
īƒ˜Abhishek Kumar
īƒ˜Manish Sharma
Introduction
â€ĸ Over the last two decades with the rising of internet and
mobile phones the way of communication and doing business
has also been change
â€ĸ E commerce is Nobel concept of buying and selling of
products and services exclusively through electronic channels,
is gaining ground.
â€ĸ The well known form of e commerce is online shopping or the
B2C e commerce
â€ĸ Nowadays everyone having access to internet is shopping
online
Some facts about E-commerce in India
īƒ˜ With an expected 33 percent of the global market in 2015 and over 37
percent in 2018, the Asia Pacific region is becoming the leader of the
e-commerce industry
īƒ˜ India is emerging market of ecommerce
īƒ˜ Retail e-commerce sales in India have grown tremendously, from 2.3
billion U.S. dollars in 2012 to an estimated 17.5 billion U.S. dollars,
representing an almost eight-fold growth.
īƒ˜ According to recent data, the number of digital buyers in India alone
is expected to reach 41 million by 2016, representing some 27 percent
of the total number of internet users in the country which means that
the customer base for ecommerce websites are going to increase
more.
īƒ˜ If this robust growth continues over the next few years, the size of the
e-retail industry is poised to be 10 to 20 billion USD by 2017-2020.
Contd:
â€ĸ Now with such a huge potential in the Indian E commerce and growing online
shoppers the e retail companies are doing hard to attract and retain customers.
â€ĸ The companies like Flip kart and Amazon have the highest market share in the
Indian e commerce market with a large customer base.
â€ĸ Customer buys from these ecommerce websites
â€ĸ But the Problem here arises is
Customers are purchasing from various websites and are not getting fixed to a
particular website for purchasing.
â€ĸ So here the Questions arises
Whether customers are Loyal to e-commerce website? Is there any loyalty in
ecommerce? And what are the various factors that create loyalty in customers
shopping online?
â€ĸ This leads to the construct of our Research i.e. E-loyalty
â€ĸ Our research is a comparative study to check the loyalty between two leading
websites in India FLIPKART and AMAZON.
â€ĸ From our preliminary survey for 300 students we have got that
INTAKES FROM LITERATUTRE
REVIEW OF E LOYALTY
AUTHOR: Amir Afsar,Zeinab Nasiri,
Mahboubeh Ostad Zadeh
E-loyalty Model in e-Commerce
To show a theoretical model for the identification of effective
factors on e-loyalty and to improve e-commerce toward the
advancement of customers and sellers purposes.
Purpose
Findings
īƒ˜the effects of demographic characteristics of the customers on
website and technology and offered products services level to
customer were measured and the results showed it is positive effect
on website and technology directly and on e-loyalty indirectly..
Variables
Future Scope of
Study
īƒ˜The research can be conducted in other
countries and other industries such as book
selling.
īƒ˜As e commerce in cement industry is not
developed in Iran so more general model can
be made using other industry
īƒ˜Demographic characteristics,
īƒ˜Website and technology,
īƒ˜Offered products /services level
īƒ˜E-trust
īƒ˜ E-security
īƒ˜ E-satisfaction
AUTHOR: Srini S. Srinivasana *, Rolph
Andersona, Kishore Ponnavolub
Customer loyalty in e-commerce: an exploration of its
antecedents and consequences
Investigates the antecedents and consequences of customer loyalty
in an online business-to-consumer (B2C) context.
Purpose
Findings
īƒ˜customization, contact interactivity, care, community,
cultivation, choice, and character except convenience, impact e-
loyalty.
īƒ˜e-loyalty has an impact on two customer-related outcomes:
word-of- mouth promotion and willingness to pay more.
Variables
Future Scope of
Study
īƒ˜Can take into account individual-level
variables such as customer inertia, reposed trust
īƒ˜develop richer models that capture and
explain the differences across product and
service categories
īƒ˜customization,
īƒ˜contact
interactivity,
īƒ˜ care,
īƒ˜ community,
īƒ˜ convenience,
īƒ˜ cultivation,
īƒ˜ choice
īƒ˜character
AUTHOR: Norizan Kassim,Nor Asiah Abdullah
The effect of perceived service quality dimensions on customer
satisfaction, trust, and loyalty in e-commerce settings
To empirically investigate the relationship between perceived
service quality, satisfaction, trust, and loyalty in e-commerce
settings in two cultures – Malaysian and Qatari – at the level of
construct dimensions.
Purpose
Findings
īƒ˜Perceived service quality have effect on customer satisfaction
which have a significant effect on trust.
īƒ˜Both customer satisfaction and trust have significant effects on
loyalty through WOM which is antecedent of repurchase intention.
Variables
Future Scope of
Study
īƒ˜Comparative studies with other developed
countries to find out whether the effect of individual
service quality dimensions in the competitive mix
may be greater or lesser than in other markets.,.
īƒ˜Role of cultural issues could be investigated to add
further depth to the model.
Downloaded by.
īƒ˜Service Quality
(Ease of use , web
design, assurance,
responsiveness,
personalization)
īƒ˜Satisfaction,
īƒ˜Trust,
īƒ˜WOM
īƒ˜Intent
AUTHOR: Dianne Cyr,Gurprit S.
Kindra,Satyabhusan Dash
Web site design, trust, satisfaction and e-loyalty: the Indian
experience
The paper aims to focus on web site design, which is expected to
influence whether customers revisit an online vendor.Purpose
Findings
īƒ˜The results indicate significant preference for the local web site
in almost all design categories.
īƒ˜ Further, the local site instilled greater trust, satisfaction and
loyalty.
Variables
Future Scope of
Study
īƒ˜web site perceptions compared with trust,
satisfaction and e-loyalty in developed as well as
developing economies.
īƒ˜web site characteristics could be experimentally
manipulated and tested for different cultures.
īƒ˜similar investigations with a wider range of web
sites representing different online vendors.
īƒ˜web site design,
īƒ˜ trust
īƒ˜ satisfaction
Author: Martin Fraering , Michael S. Minor
Beyond loyalty: customer satisfaction, loyalty and fortitude
To examine the relationships between satisfaction, the four loyalty
phases, fortitude, and a sense of virtual communityPurpose
Findings
satisfaction, cognitive, affective, cognative, and action loyalty are
positively related to fortitude
Variables
Future Scope of
Study
Research should be conducted in other sectors
of the financial services industry, such as
securities brokerage firms, mutual funds, and
insurance companies.
īƒ˜Satisfaction ,
īƒ˜loyalty,
īƒ˜fortitude ,
īƒ˜ sense of virtual
Basic conceptual model of loyalty
Author: Dina Ribbink, Sandra streukens
Comfort your online customer: quality, trust and loyalty on the
internet
The present study deals with the question of how trust, quality and
satisfaction influence customer loyalty to an e-servicePurpose
Findings
Satisfaction, which contributes considerably to loyalty, can be
increased substantially by providing an attractive user interface
that is easy to use.
Variables
Future Scope of
Study
The sample was fairly small, and to obtain
more reliable estimates it is recommended to
replicate the study on a larger scale, and
possibly extend it to other industries.
Furthermore a more representative sample
selection will increase the validity of the study.
īƒ˜ease of use,
īƒ˜E trust,
īƒ˜e-service responsiveness,
īƒ˜ customization
Author: Janjaap semeijnAllard C.R. van Riel,
E-service and offline fulfillment : How e-loyalty is created
The objective of this study was to determine the relative
contribution of online quality and offline fulfillment in creating
overall customer satisfaction, and hence loyalty.Purpose
Findings
īƒ˜ e-quality dimensions were consistent with earlier studies on e-
services explaining over 60 percent of the variance for online
value and joy combined.
īƒ˜ offline fulfillment is at least as important in determining
overall satisfaction as online quality satisfaction as online
quality.
Variables Future Scope of
Study
value and joy for both online quality and offline
fulfillment seems a useful approach for future
studies.
īƒ˜accuracy,
īƒ˜Assurance
īƒ˜navigation,
īƒ˜escape,
īƒ˜customization
AUTHOR-Markus Bluta, Nivriti Chowdhryb, Vikas
Mittalc, Christian Brockda
E-Service Quality: A Meta-Analytic Review
To examine the dominance of the internet as a shopping and
distribution channel, also necessitates an understanding of e-service
quality.
Purpose
Findings
E-service quality has four underlying dimensions website design,
fulfillment, customer service, and security/privacy
Variable Identified
Future Scope of
Study
īƒ˜ Investigating additional moderators of the
association between e-service quality
dimensions and overall e-service quality .
īƒ˜ Meta-analyses are retrospective. Meta-
analysis should be viewed as one milestone
in a longer journey.
īƒ˜ customer satisfaction
īƒ˜ repurchase intentions
īƒ˜ word-of-mouth
AUTHOR- Suresh Kandulapati Raja Shekhar
Bellamkonda
E-service quality: a study of online shoppers in India
Examine the mediating role of service value on the relationship
between service quality and customer satisfaction in the context of
online services.
Purpose
Findings
E-S-QUAL is valid for
measuring e-SQ in the context of Indian online shopping. The
study proves that there is a significant
impact of perceived e-SQ on perceived service value
Variable Identified
Future Scope of
Study
īƒ˜ To study on e-shops that offer a particular
product category.
īƒ˜ Adopt a random sampling technique
because there was no complete list of online
shoppers in India
īƒ˜ E-commerce
īƒ˜ E-service quality
īƒ˜ E-S-QUAL, E-shopping
īƒ˜ Online shopping in India
AUTHOR: Carmen M Sabiote, Dolores M FrÄą as
and J. Alberto Castanedam
E-service quality as antecedent to e-satisfaction
Analyze the inīŦ‚uence of culture on the relationship between each
of the dimensions of e-service quality and satisfaction with a web
site involving purchase of a tourism service.
Purpose
Findings
īƒ˜ The inīŦ‚uence of the dimensions of service quality on the
tourists’ satisfaction with their online purchases is moderated by
cultural dimensions, namely uncertainty avoidance and
individualism/collectivism
Variable Used
Future Scope of
Study
To analyze the moderating effect of Hofstede’s
four dimensions within a general model of
behavioral intentions among tourists from the
two cultures.
īƒ˜Ease of use
īƒ˜Availability
īƒ˜Efficacy
īƒ˜Privacy
īƒ˜Satisfaction with website
AUTHOR: James R Seligman and Fang Sun
University of Southampton
Loyalty influencing factors of business E-Commerce on
university students
To provide a review research on customer loyalty and e-loyalty
conducted mainly by critical scholarsPurpose
Findings
īƒ˜ service quality, customer satisfaction and customer trust have
positive impact on university students’ e-loyalty.
īƒ˜customer satisfaction is influenced by service quality’s empathy,
service quality’s reliability, service quality’s tangible.
Variable Used
Future Scope of
Study
īƒ˜ Focus on a particular product or service of
online store, which is in order to obtain the
result of the factors impacting customer e-
loyalty in a specific product category.
īƒ˜ The research sample and study diverse
university students in different area.
īƒ˜Customer loyalty
īƒ˜Switching intention
īƒ˜Core Quality
īƒ˜Perceived Value,
īƒ˜Service quality
īƒ˜Customer trust
AUTHOR: Yung Shen-Yen
Can perceived risks affect the relationship of switching costs
and customer loyalty in e-commerce?
To verify the relationship between switching costs and customer
loyalty in e-commercePurpose
Findings
īƒ˜switching costs positively inīŦ‚uence customer loyalty.
īƒ˜perceived risks will affect the relationship of switching costs and
customer loyalty.
Variable Used
Future Scope of
Study
Perceived risks and switching costs can
inīŦ‚uence each other, depending on the
customer’s acceptance. Thus, subsequent
research can explore what contents of the
customer’s acceptance is in different industry
sectors.
īƒ˜Customer loyalty
īƒ˜Preference loyalty
īƒ˜Dissatisfaction response
īƒ˜Perceived risks
īƒ˜Switching costs
AUTHOR: Ilias Santouridis Panagiotis Trivellas
Georgios Tsimonis,
Using E-S-QUAL to measure internet service quality of e-
commerce web sites in Greece
īƒ˜To Investigates the antecedents and consequences of customer
loyalty in an online business-to-consumer (B2C) context.Purpose
Findings
īƒ˜ The research data conīŦrmed the four factor structure of E-S-
QUAL in the context of e-commerce
īƒ˜EfīŦciency. FulīŦllment System, availability, Privacy.
Variables
īƒ˜EfīŦciency.
īƒ˜FulīŦllment System,
īƒ˜Availability,
īƒ˜Privacy.
īƒ˜Technical quality of web sites measured by
other models, such as SITEQUAL and WebQual
Future Scope of
Study
AUTHOR: Long-Chuan Lu and Hsiu-Hua
Chang and Shih-Ting Yu
Online shoppers’ perceptions of e-retailers’ ethics, cultural
orientation, and loyalty
To examine the impact of cultural orientation on consumer
perceptions regarding the ethics of online retailers (CPEOR), and to
understand the influence of CPEOR on e-loyalty intention.
Purpose
Findings
īƒ˜ Consumers with horizontal individualism, and with horizontal
and vertical collectivism tend to hold higher perceptions of e-
retailers’ ethics. The higher consumers perceive positive CPEOR,
the more they tend to purchase from the same online sellers.
Variable Used
Future Scope of
Study
īƒ˜ cross-cultural comparison to improve
understanding of cultural patterns, CPEOR,
and e-loyalty intention.
īƒ˜ Add more items from various scales to
improve its applicability to different societies.
īƒ˜Loyalty intention
īƒ˜Security
īƒ˜Privacy
īƒ˜Non deception
īƒ˜Individualism
īƒ˜Collectivism
OBJECTIVES
â€ĸ To analyze loyalty towards E-commerce sites.
â€ĸ To determine effect of stimulus(vendor integrity, E-
service quality) on E-loyalty.
â€ĸ To determine the effect of organism(trust, perceived
value, satisfaction) on E-loyalty.
â€ĸ To determine relationship between E-WOM and E-
loyalty.
â€ĸ To compare E-loyalty between two E-commerce site
Flipkart and Amazon.
RESEARCH MODEL
VENDOR
INTEGRITY
E Service
Quality
Perceived
Value
Satisfaction
Trust e-Word Of
Mouth
E-loyalty
īƒ˜Efficiency
īƒ˜ system availability,
īƒ˜Fulfillment
īƒ˜Contact
īƒ˜Responsiveness
īƒ˜Privacy
īƒ˜compensation
STIMULUS ORGANISM RESPONSE
Model explanation
â€ĸ SOR model we used in this research.
â€ĸ (S-O-R) paradigm was proposed by Mehrabian and Russell in 1974.
The paradigm posits that stimuli from environments affect an
individual’s cognitive and affective reactions, which in turn lead to
some behavior (Mehrabian & Russell 1974)
â€ĸ S-O-R paradigm has been applied to investigate the behavior of urge
to buy impulsively.
â€ĸ The task relevant and mood-relevant factors are representing the
stimuli from the website and organism’s cognitive and affective
statues relates with perceived usefulness and perceived enjoyment.
â€ĸ The study investigates the e-loyalty to online auction websites by an
S-O-R model. The findings confirmed the relationship between
stimuli, reaction, and response.
īą E Servoqual Scale of Parsuraman
īƒ˜ RESPONSIVENESS-Quick response and ability to get help if there is
a problem or question
īƒ˜ FULFILLMENT- Extent to which site’s promise about order delivery
and item availability are fulfilled.
īƒ˜ EFFICENCY- Site is easy to use structured properly and requires a
minimum of information to be put by customer.
īƒ˜ System Availability: The correct technical functioning of the site.
īƒ˜ Privacy: The degree to which the site is safe and protects customer
information.
īƒ˜ Contact: The availability of assistance through telephone or online
representatives
īƒ˜ Compensation:The degree to which the site compensates customers
for problems.
īƒ˜ E-service quality: Extent to which a website facilitates efficient
and effective shopping, purchasing and delivery(Parsuraman
,2000)
īƒ˜ Trust: Psychological state comparing the intention to accept
vulnerability based on expectation of intention of behavior or
other
īƒ˜ Perceived value: Value for money that consumer receive from
product
īƒ˜ Satisfaction: Over all effective response to a perceived
discrepancy between prior expectations and perceived
performance after consumption by Oliver
Research Design
Research Approach
In this research we have used
īƒ˜ Exploratory to explore the problem and to fid the model
īƒ˜ Descriptive to analyze the model in which we have done a
preliminary survey
SAMPLING TECHNIQUES
â€ĸ We had done preliminary survey and our sample size was 300.
â€ĸ As our purpose is to do survey on undergraduates we used following
techniques:-
i. Convenience sampling( Collecting data in NITJ)
ii. Random sampling(Collecting data from outside campus)
iii. Snowballing
Pilot survey
â€ĸ An Online Questionnaire is prepared, to know “Shopping
habits on Online platform”.
â€ĸ Questionnaire has 14 questions to collect various information
of respondent.
â€ĸ Main purpose of questionnaire was, to classified respondent in
order to age, user of Flipkart and Amazon, and gender.
â€ĸ Also had to collect their shopping frequency ,e-mail id’s .
RESEARCH GAPS
o Research on sites other than AMAZON and FLIPKART.
o Other than focusing on purchasing other ecommerce site provides
other services also , like banking , healthcare we can measure satisfaction
based on that services.
o Research on other student groups like PG students and PH.D.
o Research in other physical location not just be bound to NITJ.
o Age wise loyalty can ascertained {Above 22 or below 17}
o Cross questions for accuracy of responses.
o Mall intercept {ask people about why they prefer shopping from mall
rather than using online shopping}
Future scope
oResearch on other e commerce sites.
oOne the large sample size including PG students and below graduates.
oResearch on the earning people.
oResearch on other offline stores .
oResearch on other variables like delivery channels{affect}.
oResearch on affect of brand name on loyalty.
Research  Project on e-loyalty

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Research Project on e-loyalty

  • 1.
  • 2. The Impact Of e-Service Quality and e W-O-M e-Loyalty Submitted By: īƒ˜Arshdeep Singh īƒ˜Saurabh Meena īƒ˜Manisha Rani īƒ˜Abhishek Kumar īƒ˜Manish Sharma
  • 3. Introduction â€ĸ Over the last two decades with the rising of internet and mobile phones the way of communication and doing business has also been change â€ĸ E commerce is Nobel concept of buying and selling of products and services exclusively through electronic channels, is gaining ground. â€ĸ The well known form of e commerce is online shopping or the B2C e commerce â€ĸ Nowadays everyone having access to internet is shopping online
  • 4. Some facts about E-commerce in India īƒ˜ With an expected 33 percent of the global market in 2015 and over 37 percent in 2018, the Asia Pacific region is becoming the leader of the e-commerce industry īƒ˜ India is emerging market of ecommerce īƒ˜ Retail e-commerce sales in India have grown tremendously, from 2.3 billion U.S. dollars in 2012 to an estimated 17.5 billion U.S. dollars, representing an almost eight-fold growth. īƒ˜ According to recent data, the number of digital buyers in India alone is expected to reach 41 million by 2016, representing some 27 percent of the total number of internet users in the country which means that the customer base for ecommerce websites are going to increase more. īƒ˜ If this robust growth continues over the next few years, the size of the e-retail industry is poised to be 10 to 20 billion USD by 2017-2020.
  • 5. Contd: â€ĸ Now with such a huge potential in the Indian E commerce and growing online shoppers the e retail companies are doing hard to attract and retain customers. â€ĸ The companies like Flip kart and Amazon have the highest market share in the Indian e commerce market with a large customer base. â€ĸ Customer buys from these ecommerce websites â€ĸ But the Problem here arises is Customers are purchasing from various websites and are not getting fixed to a particular website for purchasing. â€ĸ So here the Questions arises Whether customers are Loyal to e-commerce website? Is there any loyalty in ecommerce? And what are the various factors that create loyalty in customers shopping online? â€ĸ This leads to the construct of our Research i.e. E-loyalty â€ĸ Our research is a comparative study to check the loyalty between two leading websites in India FLIPKART and AMAZON. â€ĸ From our preliminary survey for 300 students we have got that
  • 7. AUTHOR: Amir Afsar,Zeinab Nasiri, Mahboubeh Ostad Zadeh E-loyalty Model in e-Commerce To show a theoretical model for the identification of effective factors on e-loyalty and to improve e-commerce toward the advancement of customers and sellers purposes. Purpose Findings īƒ˜the effects of demographic characteristics of the customers on website and technology and offered products services level to customer were measured and the results showed it is positive effect on website and technology directly and on e-loyalty indirectly.. Variables Future Scope of Study īƒ˜The research can be conducted in other countries and other industries such as book selling. īƒ˜As e commerce in cement industry is not developed in Iran so more general model can be made using other industry īƒ˜Demographic characteristics, īƒ˜Website and technology, īƒ˜Offered products /services level īƒ˜E-trust īƒ˜ E-security īƒ˜ E-satisfaction
  • 8. AUTHOR: Srini S. Srinivasana *, Rolph Andersona, Kishore Ponnavolub Customer loyalty in e-commerce: an exploration of its antecedents and consequences Investigates the antecedents and consequences of customer loyalty in an online business-to-consumer (B2C) context. Purpose Findings īƒ˜customization, contact interactivity, care, community, cultivation, choice, and character except convenience, impact e- loyalty. īƒ˜e-loyalty has an impact on two customer-related outcomes: word-of- mouth promotion and willingness to pay more. Variables Future Scope of Study īƒ˜Can take into account individual-level variables such as customer inertia, reposed trust īƒ˜develop richer models that capture and explain the differences across product and service categories īƒ˜customization, īƒ˜contact interactivity, īƒ˜ care, īƒ˜ community, īƒ˜ convenience, īƒ˜ cultivation, īƒ˜ choice īƒ˜character
  • 9. AUTHOR: Norizan Kassim,Nor Asiah Abdullah The effect of perceived service quality dimensions on customer satisfaction, trust, and loyalty in e-commerce settings To empirically investigate the relationship between perceived service quality, satisfaction, trust, and loyalty in e-commerce settings in two cultures – Malaysian and Qatari – at the level of construct dimensions. Purpose Findings īƒ˜Perceived service quality have effect on customer satisfaction which have a significant effect on trust. īƒ˜Both customer satisfaction and trust have significant effects on loyalty through WOM which is antecedent of repurchase intention. Variables Future Scope of Study īƒ˜Comparative studies with other developed countries to find out whether the effect of individual service quality dimensions in the competitive mix may be greater or lesser than in other markets.,. īƒ˜Role of cultural issues could be investigated to add further depth to the model. Downloaded by. īƒ˜Service Quality (Ease of use , web design, assurance, responsiveness, personalization) īƒ˜Satisfaction, īƒ˜Trust, īƒ˜WOM īƒ˜Intent
  • 10.
  • 11. AUTHOR: Dianne Cyr,Gurprit S. Kindra,Satyabhusan Dash Web site design, trust, satisfaction and e-loyalty: the Indian experience The paper aims to focus on web site design, which is expected to influence whether customers revisit an online vendor.Purpose Findings īƒ˜The results indicate significant preference for the local web site in almost all design categories. īƒ˜ Further, the local site instilled greater trust, satisfaction and loyalty. Variables Future Scope of Study īƒ˜web site perceptions compared with trust, satisfaction and e-loyalty in developed as well as developing economies. īƒ˜web site characteristics could be experimentally manipulated and tested for different cultures. īƒ˜similar investigations with a wider range of web sites representing different online vendors. īƒ˜web site design, īƒ˜ trust īƒ˜ satisfaction
  • 12. Author: Martin Fraering , Michael S. Minor Beyond loyalty: customer satisfaction, loyalty and fortitude To examine the relationships between satisfaction, the four loyalty phases, fortitude, and a sense of virtual communityPurpose Findings satisfaction, cognitive, affective, cognative, and action loyalty are positively related to fortitude Variables Future Scope of Study Research should be conducted in other sectors of the financial services industry, such as securities brokerage firms, mutual funds, and insurance companies. īƒ˜Satisfaction , īƒ˜loyalty, īƒ˜fortitude , īƒ˜ sense of virtual
  • 14. Author: Dina Ribbink, Sandra streukens Comfort your online customer: quality, trust and loyalty on the internet The present study deals with the question of how trust, quality and satisfaction influence customer loyalty to an e-servicePurpose Findings Satisfaction, which contributes considerably to loyalty, can be increased substantially by providing an attractive user interface that is easy to use. Variables Future Scope of Study The sample was fairly small, and to obtain more reliable estimates it is recommended to replicate the study on a larger scale, and possibly extend it to other industries. Furthermore a more representative sample selection will increase the validity of the study. īƒ˜ease of use, īƒ˜E trust, īƒ˜e-service responsiveness, īƒ˜ customization
  • 15. Author: Janjaap semeijnAllard C.R. van Riel, E-service and offline fulfillment : How e-loyalty is created The objective of this study was to determine the relative contribution of online quality and offline fulfillment in creating overall customer satisfaction, and hence loyalty.Purpose Findings īƒ˜ e-quality dimensions were consistent with earlier studies on e- services explaining over 60 percent of the variance for online value and joy combined. īƒ˜ offline fulfillment is at least as important in determining overall satisfaction as online quality satisfaction as online quality. Variables Future Scope of Study value and joy for both online quality and offline fulfillment seems a useful approach for future studies. īƒ˜accuracy, īƒ˜Assurance īƒ˜navigation, īƒ˜escape, īƒ˜customization
  • 16. AUTHOR-Markus Bluta, Nivriti Chowdhryb, Vikas Mittalc, Christian Brockda E-Service Quality: A Meta-Analytic Review To examine the dominance of the internet as a shopping and distribution channel, also necessitates an understanding of e-service quality. Purpose Findings E-service quality has four underlying dimensions website design, fulfillment, customer service, and security/privacy Variable Identified Future Scope of Study īƒ˜ Investigating additional moderators of the association between e-service quality dimensions and overall e-service quality . īƒ˜ Meta-analyses are retrospective. Meta- analysis should be viewed as one milestone in a longer journey. īƒ˜ customer satisfaction īƒ˜ repurchase intentions īƒ˜ word-of-mouth
  • 17.
  • 18. AUTHOR- Suresh Kandulapati Raja Shekhar Bellamkonda E-service quality: a study of online shoppers in India Examine the mediating role of service value on the relationship between service quality and customer satisfaction in the context of online services. Purpose Findings E-S-QUAL is valid for measuring e-SQ in the context of Indian online shopping. The study proves that there is a significant impact of perceived e-SQ on perceived service value Variable Identified Future Scope of Study īƒ˜ To study on e-shops that offer a particular product category. īƒ˜ Adopt a random sampling technique because there was no complete list of online shoppers in India īƒ˜ E-commerce īƒ˜ E-service quality īƒ˜ E-S-QUAL, E-shopping īƒ˜ Online shopping in India
  • 19. AUTHOR: Carmen M Sabiote, Dolores M FrÄą as and J. Alberto Castanedam E-service quality as antecedent to e-satisfaction Analyze the inīŦ‚uence of culture on the relationship between each of the dimensions of e-service quality and satisfaction with a web site involving purchase of a tourism service. Purpose Findings īƒ˜ The inīŦ‚uence of the dimensions of service quality on the tourists’ satisfaction with their online purchases is moderated by cultural dimensions, namely uncertainty avoidance and individualism/collectivism Variable Used Future Scope of Study To analyze the moderating effect of Hofstede’s four dimensions within a general model of behavioral intentions among tourists from the two cultures. īƒ˜Ease of use īƒ˜Availability īƒ˜Efficacy īƒ˜Privacy īƒ˜Satisfaction with website
  • 20. AUTHOR: James R Seligman and Fang Sun University of Southampton Loyalty influencing factors of business E-Commerce on university students To provide a review research on customer loyalty and e-loyalty conducted mainly by critical scholarsPurpose Findings īƒ˜ service quality, customer satisfaction and customer trust have positive impact on university students’ e-loyalty. īƒ˜customer satisfaction is influenced by service quality’s empathy, service quality’s reliability, service quality’s tangible. Variable Used Future Scope of Study īƒ˜ Focus on a particular product or service of online store, which is in order to obtain the result of the factors impacting customer e- loyalty in a specific product category. īƒ˜ The research sample and study diverse university students in different area. īƒ˜Customer loyalty īƒ˜Switching intention īƒ˜Core Quality īƒ˜Perceived Value, īƒ˜Service quality īƒ˜Customer trust
  • 21. AUTHOR: Yung Shen-Yen Can perceived risks affect the relationship of switching costs and customer loyalty in e-commerce? To verify the relationship between switching costs and customer loyalty in e-commercePurpose Findings īƒ˜switching costs positively inīŦ‚uence customer loyalty. īƒ˜perceived risks will affect the relationship of switching costs and customer loyalty. Variable Used Future Scope of Study Perceived risks and switching costs can inīŦ‚uence each other, depending on the customer’s acceptance. Thus, subsequent research can explore what contents of the customer’s acceptance is in different industry sectors. īƒ˜Customer loyalty īƒ˜Preference loyalty īƒ˜Dissatisfaction response īƒ˜Perceived risks īƒ˜Switching costs
  • 22. AUTHOR: Ilias Santouridis Panagiotis Trivellas Georgios Tsimonis, Using E-S-QUAL to measure internet service quality of e- commerce web sites in Greece īƒ˜To Investigates the antecedents and consequences of customer loyalty in an online business-to-consumer (B2C) context.Purpose Findings īƒ˜ The research data conīŦrmed the four factor structure of E-S- QUAL in the context of e-commerce īƒ˜EfīŦciency. FulīŦllment System, availability, Privacy. Variables īƒ˜EfīŦciency. īƒ˜FulīŦllment System, īƒ˜Availability, īƒ˜Privacy. īƒ˜Technical quality of web sites measured by other models, such as SITEQUAL and WebQual Future Scope of Study
  • 23. AUTHOR: Long-Chuan Lu and Hsiu-Hua Chang and Shih-Ting Yu Online shoppers’ perceptions of e-retailers’ ethics, cultural orientation, and loyalty To examine the impact of cultural orientation on consumer perceptions regarding the ethics of online retailers (CPEOR), and to understand the influence of CPEOR on e-loyalty intention. Purpose Findings īƒ˜ Consumers with horizontal individualism, and with horizontal and vertical collectivism tend to hold higher perceptions of e- retailers’ ethics. The higher consumers perceive positive CPEOR, the more they tend to purchase from the same online sellers. Variable Used Future Scope of Study īƒ˜ cross-cultural comparison to improve understanding of cultural patterns, CPEOR, and e-loyalty intention. īƒ˜ Add more items from various scales to improve its applicability to different societies. īƒ˜Loyalty intention īƒ˜Security īƒ˜Privacy īƒ˜Non deception īƒ˜Individualism īƒ˜Collectivism
  • 24. OBJECTIVES â€ĸ To analyze loyalty towards E-commerce sites. â€ĸ To determine effect of stimulus(vendor integrity, E- service quality) on E-loyalty. â€ĸ To determine the effect of organism(trust, perceived value, satisfaction) on E-loyalty. â€ĸ To determine relationship between E-WOM and E- loyalty. â€ĸ To compare E-loyalty between two E-commerce site Flipkart and Amazon.
  • 25. RESEARCH MODEL VENDOR INTEGRITY E Service Quality Perceived Value Satisfaction Trust e-Word Of Mouth E-loyalty īƒ˜Efficiency īƒ˜ system availability, īƒ˜Fulfillment īƒ˜Contact īƒ˜Responsiveness īƒ˜Privacy īƒ˜compensation STIMULUS ORGANISM RESPONSE
  • 26. Model explanation â€ĸ SOR model we used in this research. â€ĸ (S-O-R) paradigm was proposed by Mehrabian and Russell in 1974. The paradigm posits that stimuli from environments affect an individual’s cognitive and affective reactions, which in turn lead to some behavior (Mehrabian & Russell 1974) â€ĸ S-O-R paradigm has been applied to investigate the behavior of urge to buy impulsively. â€ĸ The task relevant and mood-relevant factors are representing the stimuli from the website and organism’s cognitive and affective statues relates with perceived usefulness and perceived enjoyment. â€ĸ The study investigates the e-loyalty to online auction websites by an S-O-R model. The findings confirmed the relationship between stimuli, reaction, and response.
  • 27. īą E Servoqual Scale of Parsuraman īƒ˜ RESPONSIVENESS-Quick response and ability to get help if there is a problem or question īƒ˜ FULFILLMENT- Extent to which site’s promise about order delivery and item availability are fulfilled. īƒ˜ EFFICENCY- Site is easy to use structured properly and requires a minimum of information to be put by customer. īƒ˜ System Availability: The correct technical functioning of the site. īƒ˜ Privacy: The degree to which the site is safe and protects customer information. īƒ˜ Contact: The availability of assistance through telephone or online representatives īƒ˜ Compensation:The degree to which the site compensates customers for problems.
  • 28. īƒ˜ E-service quality: Extent to which a website facilitates efficient and effective shopping, purchasing and delivery(Parsuraman ,2000) īƒ˜ Trust: Psychological state comparing the intention to accept vulnerability based on expectation of intention of behavior or other īƒ˜ Perceived value: Value for money that consumer receive from product īƒ˜ Satisfaction: Over all effective response to a perceived discrepancy between prior expectations and perceived performance after consumption by Oliver
  • 30. Research Approach In this research we have used īƒ˜ Exploratory to explore the problem and to fid the model īƒ˜ Descriptive to analyze the model in which we have done a preliminary survey SAMPLING TECHNIQUES â€ĸ We had done preliminary survey and our sample size was 300. â€ĸ As our purpose is to do survey on undergraduates we used following techniques:- i. Convenience sampling( Collecting data in NITJ) ii. Random sampling(Collecting data from outside campus) iii. Snowballing
  • 31. Pilot survey â€ĸ An Online Questionnaire is prepared, to know “Shopping habits on Online platform”. â€ĸ Questionnaire has 14 questions to collect various information of respondent. â€ĸ Main purpose of questionnaire was, to classified respondent in order to age, user of Flipkart and Amazon, and gender. â€ĸ Also had to collect their shopping frequency ,e-mail id’s .
  • 32. RESEARCH GAPS o Research on sites other than AMAZON and FLIPKART. o Other than focusing on purchasing other ecommerce site provides other services also , like banking , healthcare we can measure satisfaction based on that services. o Research on other student groups like PG students and PH.D. o Research in other physical location not just be bound to NITJ. o Age wise loyalty can ascertained {Above 22 or below 17} o Cross questions for accuracy of responses. o Mall intercept {ask people about why they prefer shopping from mall rather than using online shopping}
  • 33. Future scope oResearch on other e commerce sites. oOne the large sample size including PG students and below graduates. oResearch on the earning people. oResearch on other offline stores . oResearch on other variables like delivery channels{affect}. oResearch on affect of brand name on loyalty.

Editor's Notes

  1. by http://www.statista.com/topics/2454/e-commerce-in-india/
  2. the effect of perceived service quality on satisfaction, the effects of satisfaction on loyalty and trust on loyalty across culture, the current research found that there was no significant difference among the Qatari and Malaysian customers
  3. A limitation of the investigation is that both the local and foreign web sites used were Samsung sites. generalisability to the Indian population at large is limited all respondents are post graduates
  4. â€Ļlimitation:The nine Variablemeasuring satisfaction, loyalty, and fortitude comprise a reliable and valid construct for measuring satisfaction, cognitive, affective, conative, and action loyalty, as well as fortitude. The hypothetical sense of virtual community construct did not survive confirmatory factor analysis.
  5. SERVQUAL tool is to design questions
  6. SERVQUAL tool is to design questions
  7. SERVQUAL tool is to design questions
  8. SERVQUAL tool is to design questions
  9. SERVQUAL tool is to design questions