E-commerce literature review pdf

The moderating effect of customer perceived value on online shopping behaviour. Online Information Review, 35 3 , — How impulsivity affects consumer decision-making in e-commerce. Electronic Commerce Research and Applications, 11 6 , — An empirical investigation into e-shopping excitement: Antecedents and effects. European Journal of Marketing, 43 9 , — The role of experiential value in online shopping. Internet Research, 19 1 , — Doing your literature review.

Traditional and systematic techniques. London: Sage. Jin M. Consumer responses toward online review manipulation.

Journal of Research in Interactive Marketing, 8 3 , — Effects of web site atmospherics on consumer responses: Music and product presentation. Direct Marketing, 3 1 , 4— Augmented reality and motion capture apparel e-shopping values and usage intention. International Journal of Clothing Science and Technology, 26 6 , — Kim, H. E-atmosphere, emotional, cognitive, and behavioral responses. Journal of Fashion Marketing and Management, 14 3 , — Online retailer reputation and consumer response: Examining cross-cultural differences.

Kim, M. Factors affecting online tourism group buying and the moderating role of loyalty. Journal of Travel Research, 53 3 , Kuo, Y. Satisfaction and post-purchase intentions with service recovery of online shopping websites: Perspectives on perceived justice and emotions. International Journal of Information Management, 32 2 , — Internet Research, 26 4 , — Lemon, K. Understanding customer experience throughout the customer journey.

Journal of Marketing, 80 6 , 69— Li, H. Liao, C. Lim, W. Antecedents and consequences of e-shopping: An integrated model.

Internet Research, 25 2 , Lin, W. The determinants of consumers' switching intentions after service failure. Explaining website effectiveness: The hedonic-utilitarian dual mediation hypothesis. Electronic Commerce Research and Applications, 10 1 , 49— Effects of dissatisfaction on customer repurchase decisions in e-commerce-an emotion-based perspective. Journal of Electronic Commerce Research, 13 3 , — Luo, M. An examination of the effects of virtual experiential marketing on online customer intentions and loyalty.

The Service Industries Journal, 31 13 , Luoma-aho, V. Corporate Communications: An International Journal, 15 1 , 49— Towards a more dynamic stakeholder model: Acknowledging multiple issue arenas. Corporate Communications: An International Journal, 15 3 , — Matute, J. The influence of EWOM characteristics on online repurchase intention: Mediating roles of trust and perceived usefulness.

Online Information Review, 40 7 , — The influence of culture, emotions, intangibility, and atmospheric cues on online behavior. Journal of Business Research, 67 3 , — The role of emotions in online consumer behavior: a comparison of search, experience, and credence services.

Journal of Services Marketing, 26 7 , — What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15 1 , — Moody, G. When trust and distrust collide online: The engenderment and role of consumer ambivalence in online consumer behavior.

Electronic Commerce Research and Applications, 13 4 , — Effect of stress, materialism and external stimuli on online impulse buying.

Journal of Research for Consumers, 27, 26— Ozen, H. Shopping online without thinking: Being emotional or rational? Asia Pacific Journal of Marketing and Logistics, 26 1 , 78— Pappas, I. Shiny happy people buying: The role of emotions on personalized e-shopping. Electronic Markets, 24 3 , — Implications of trust and usability on E-commerce adoption. International Journal of Business and Information, 10 4 , — Peng, L. Consumer perceptions of online review deceptions: An empirical study in China.

Journal of Consumer Marketing, 33 4 , — The role of mixed emotions in consumer behaviour. European Journal of Marketing, 45 1 , — Human-Computer Interaction, 27 3 , — Quevedo-Silva, F.

Intentions to purchase food through the internet: Developing and testing a model. British Food Journal, 3 , — Modeling online consumer behavior: Preeminence of emotions and moderating influences of need for cognition and optimal stimulation level. Journal of Business Research, 69 2 , — Advanced modeling of online consumer behavior: The moderating roles of hedonism and culture.

Journal of Business Research, 69 3 , — Robinson, D. Brain function, emotional experience and personality. Netherlands Journal of Psychology, 64, — Salminen, A.

Johdatus kirjallisuuskatsauksen tyyppeihin ja hallintotieteellisiin sovelluksiin. Introduction to types of literature review in administrative sciences]. University of Vaasa. Sanchez-Franco, M. Connection between customer emotions and relationship quality in online music services. Scholl-Grissemann, U. Sharma, G. Ethical perspectives on e-commerce: An empirical investigation.

Internet Research, 24 4 , — The effects of online service quality of e-commerce Websites on user satisfaction. The Electronic Library, 33 3 , — Heart and mind in conflict: The interplay of affect and cognition in consumer decision making.

Journal of Consumer Research, 26 3 , — Soto-Acosta, P. The effect of information overload and disorganisation on intention to purchase online. Online Information Review, 38 4 , — The Statistic Portal. Digital buyer penetration worldwide from to Writing integrative literature reviews: Guidelines and examples.

Human Resource Development Review, 4 3 , — Successful loyalty in e-complaints: FsQCA and structural equation modeling analyses. Journal of Business Research, 69 4 , — Home Explore Login Signup. Successfully reported this slideshow. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads.

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Elizabeth Howell. E commerce in India literature review 1. This study has not been submitted elsewhere either wholly or in part for award of any degree. Com H.

It has no commercial implication and is done only for academic purpose. Alka Goyale Teacher in-charge Dept.

Jain, Principal, Shri Ram College of Commerce, for his cordial support as he gave the permission to use all required equipment and the necessary material to complete the project. I take this opportunity to express my profound gratitude and deep regard to my mentor Ms. Arushi Malhotra, Asst. Professor, Shri Ram College of Commerce for her exemplary guidance, monitoring and constant encouragement throughout the course of this project.

The blessing, help and guidance given by her time to time shall carry me a long way in the journey of life on which I am about to embark. Lastly, I thank almighty, my parents, brother, sisters and friends for their constant encouragement without which this project would not be possible. Table of content S. Introduction 4 2. Rationale 5 3 Objectives of study 5 4.

Research Methodology 5 5. Review of Literature 5 6. Definitions of E-Commerce 9 7. Evolution of E-Commerce 11 8. Conceptual framework 12 9. Present trends of E-Commerce in India 17 Key players 25 10 Barriers 28 Recommendations 29 Future of E-Commerce in India 33 Conclusion 35 Bibliography 36 4 5.

E-Commerce stands for electronic commerce. It means dealing in goods and services through the electronic media and internet.

On the internet, it relates to a website of the vendor, who sells products or services directly to the customer from the portal using a digital shopping cart or digital shopping basket system and allows payment through credit card, debit card or EFT Electronic fund transfer payments. E-commerce or E-business involves carrying on a business with the help of the internet and by using the information technology like Electronic Data Interchange EDI.

E-Commerce has almost overnight become the dominant online activity. There is no single definition of E-Commerce, it means only commercial activity which is performed or linked to or supported by Electronic Communication. The effects of e-commerce are already appearing in all areas of business, from customer service to new product design.

It facilitates new types of information based business processes for reaching and interacting with customers like online advertising and marketing, online order taking and online customer service. In now days E-commerce uses the WWW at least some point in transaction lifecycle. It can also reduce costs in managing orders and interacting with a wide range of suppliers and trading partners, areas that typically add significant overheads to the cost of products and services.

For developing countries like India, e-commerce offers considerable opportunity. In India it is still in nascent stage, but even the most-pessimistic projections indicate a boom. Major Indian portal sites have also shifted towards e-commerce instead of depending on advertising revenue. Many sites are now selling a diverse range of products and services from flowers, greeting cards, and movie tickets to groceries, electronic gadgets, and computers, etc.

With stock exchanges coming online the time for true e-commerce in India has finally arrived. Rationale of study Electronic Commerce E-commerce seems to be everywhere these days.

It is widely accepted that e-commerce and Internet technologies can benefit an organization but still there are very few studies about e-commerce adoption in India. Objectives of the Study: The objectives of present study are: 1. To understand the evolution of E-Commerce 2. To describe the conceptual framework of E-Commerce in India; 3. To analyse the present trends of E-Commerce in India; 4. To examine the barriers of E-Commerce in India.

To predict future of E-commerce 4. So, various articles, journals, books, websites etc. All the data included is secondary base and proper references have been given wherever necessary. Based on the literature survey and secondary data, the study analysed various factors influencing the growth of e-businesses in the two countries. The factors examined include government policy and focus, existing technology infrastructure regulatory environment, experience and understanding of business operations, and culture, among others.

The study concludes that China appears to be ahead of India in the infrastructure, but India is ahead in e-readiness. Further, it states that both countries are poised for rapidly increasing e-business, however, problems of poverty and inequality between urban and rural connectivity must be resolved to really take advantage of e-business in both the countries. Malhotra and Singh studied the determinants of Internet banking adoption by banks in India. Logistic regression analysis was used, the dependent variable is categorical with a value of 1 if a bank adopted Internet banking during the study period and 0 otherwise.

The results of the study prove that Bank type Private , firm size, bank deposits ratio, firm age, market share, average number of branches, percentage of banks adopted Internet banking and expenses, are found to be significant in adoption decision. Wage and ROA are found to be insignificant. This study contributes to the empirical literature on diffusion of financial innovations, particularly Internet banking in Indian context.

Most of the study on adoption of technology was related to developed markets like US and Europe, this study is an important contribution to evolving literature as it dealt the problem of technology adoption in developing country context.

Study by Tarafdar and Vaidya examined the factors that determine the organizational inclination to adopt E-Commerce EC. The study proposes a framework based on the qualitative data on four financial firms in India collected through multiple case study design.

Face to face interview was used to collect primary data and existing database, company documents, press reports and websites are used to collect secondary data. The framework describes two broad factors—leadership characteristics and organizational characteristics—to explain the influence of organizational factors on the propensity to employ EC technologies.

The study found that both leadership and organizational characteristic influence EC adoption. It establishes that leadership characteristics influence adoption of EC technologies in centralized organization and 7 8. The study also found that characteristics of Information Systems professional and organization structure influence EC adoption.

Another study by Tarafdar and Vaidya, analyses organizational and strategic imperatives that influence Information System IS assimilation in Indian organizations.

IS assimilation here refers to the extent to which a system or technology becomes diffused in organizational processes. The study is based on multiple case study method. Data on nine firms which have deployed IS was collected through face to face structured interview involving middle managers, senior managers of IS and other departments.

Strategic imperatives are examined by analysing the environmental factors—presence or absence of government regulation, pressure from customers, suppliers and competitors, and strategic stance—whether product and process changes, and the consequent IS deployment were proactive or reactive Organizational imperatives were investigated by qualitatively assessing six factors— top management support; IS department knowledge of business, technology and involvement in IS deployment, IT literacy of managers, management style; presence of IT champions and availability of IT resources.

Data was analyzed across-case and within-case. The study identifies three categories of organizations—innovative IS users, enlightened IS users and reluctant IS users—with respect to IS assimilation, and describes strategic and organizational factors characteristics of each group. The study also traces the evolution of the IS application portfolio in each of the studied firms and analyses accompanying changes in strategic and organization factors.

In short, the paper presents an integrated and first level analysis of strategic and organizational imperatives that have influenced the assimilation and evolution of IS in Indian organizations. Viswanathan and Pick examined the issue of e-commerce in India and Mexico from the framework of developing countries as suggested by Tallon and Kraemer.

The framework included critical factors that might impact the diffusion of ecommerce. The factors are government policy, legal framework, technology infrastructure, relationship with developed economies and extent of e-commerce usage by individual, corporate and government.

Mexico is analyzed more briefly, and compared with India based on common international datasets. The analysis and the data presented in this paper represent a synthesis of data from secondary research and data from interviews conducted with senior executives in the IT industry in India and Mexico.

Enter the email address you signed up with and we'll email you a reset link. Need an account? Click here to sign up. Download Free PDF. Shinta Amalia Kusuma Wardhani. Apol Pribadi. A short summary of this paper.

Download Download PDF. Translate PDF. Nowadays, social commerce, many recent studies have investigated social commerce is widely used because it complements the factors influencing the adoption of social commerce.

An benefits of using traditional e-commerce with social investigation from Vongsraluang and Bhatiasevi [7] reveals interaction.

Based on this condition, research on the adoption that the use of the system and user satisfaction has a of social commerce has become the interest of new research increasingly being explored. Research on social commerce is significant effect on social trading systems' success. Further, novel and largely fragmented. It is theoretically important to Ali et al. Besides, through structured literature reviews.

This study conducted a Alraja, Khan, Khashab, and Aldaas [8] identified Facebook systematic literature review on the adoption of social advertising as a factor that significantly influences Facebook commerce, analyzed based on the context, theories, and commerce adoption. Although research on this issue is well- influencing factors. We identified 30 studies most relevant to known, it is still new and largely fragmented, so that it is the application of social commerce.

The results of this important to evaluate comprehensive studies through systematic literature review have mapped the potential and structured literature reviews. This study provides a better direction of research related to the area of interest. Directions for further research will be discussed at the end of the paper. We describe the Technology adoption; Consumer behavior; Literature review research method and define the literature in section 2, then report the results in section 3.

Finally, we conclude the I. The term social commerce has developed and used throughout the world. Unlike e-commerce, social commerce defines formally e-commerce that involves social media and II. Design supports social interactions and user content contributions.

Refer to the guidelines. This paper determines and receive advice from trusted people to find products and the research questions first, then chooses the characteristics services. They want to buy through social networks, of the primary study needed by craft inclusion and exclusion podcasts, chat rooms, blogs, tagging, ratings, and criteria of literature, then takes samples of potentially recommendation systems.

Based on these various definitions, relevant literature and selects relevant literature. Moreover, We can conclude that social commerce is a transformation this research synthesizes the literature by summarizing, from traditional e-commerce: buying and selling transactions integrating, or gathering different findings throughout the and social interactions such as podcasts, chat rooms, blogs, and tagging helpful.

The research question to provide an overview of the Several competitive advantages can be achieved by using review: social commerce.

The increasingly growing use and practice of social commerce have resulted in an exponential increase - RQ1: What is the research of the context used for in the research literature to understand the determinants of social commerce adoption? Then, Social commerce is becoming social commerce? S dollars by the year [50]. Adoption", "social media commerce", "social media". Restrictions apply. Screening is then conducted to select the Framework - Security concern articles that are most relevant to the topic, based on the - Top management support inclusion and exclusion of predetermined procedures, and - Organizational produce 89 articles.

From 89 articles, screening was done by readiness reading full text and deeper analysis, obtain 30 final articles. Theory, Trust - community emotional support Transfer commitment [26] Social Social - trust toward site's theory, Task- trust commerce presence, member Technology - trust towards members user.

Authorized licensed use limited to: Institut Teknologi Sepuluh Nopember. This trend shows that research interest is increasing in [31] Social Interpersonal - task commerce attraction - social social commerce users, while companies and SMEs' user. And other theory of customer engagement [34] Social Social - social presence oof commerce presence online brand com user. Theories used in Social Commerce Adoption - trust in social media We use several theories from selected studies to - trust in electronic commerce site understand consumer behavior in adopting social commerce; - trust in social table 1 shows a summary of these studies' theoretical commerce features foundations.

Furthermore, we analyze them by mapping the trust in social theories, and we found that the Technology Acceptance commerce consumers [35] Social Social capital SNS Behavior Model TAM and the social support theory are mostly commerce theory, other - participating adopted theories in social commerce research. Both theories user. For instance, according to Venkatesh et user. Theory - Perceived usefulness al.

Further, we found that the CFIP , brand behavior category can also be at an organizational level, relationship theory including Technology Organization Environment TOE and [37] Social Latent-state- - celebrities'posts, innovation diffusion theory. The overall theories used in commerce trait theory - contextualinteractions, social commerce adoption are explained in detail below. Context used for social commerce adoption determination theory are classified as adoption theory at the individual level.

Then we categorize them into individual We have mapped their research contexts from the newest behavior. Figure 2 shows that the theories in this setting are literature, as shown in Table 1. In this setting, we can see dominantly high since First, the adoption of social commerce in the differs from adoption in other technologies. The particular users' context investigates how social commerce is adopted characteristics that distinguish social commerce from by social media users such as Twitter.

Facebook, Instagram. Therefore, in this study, both firms, and IT companies, to increase their sales. Lastly we categorize social support theory, relationship quality is the adoption of social commerce in SMEs to increase theory, social presence theory, latent-state-trait theory, sales in Saudi Arabia [3]. As seen in Figure 1, the research social network theory, social capital theory, social publication trend in this area for the last six years has been connectedness, social identity, social impact theory, social on February 12, at UTC from IEEE Xplore.

Figure 2 depicts research Enjoyment is an individual's attitude toward using new in this social setting is increasing significantly from to technology[44]. It indicates that theories in a social setting are Second, the technological factor group explains IT increasingly being adopted in social commerce research.

Davis [40], customer value theory organizational adoption [45]. We classify consumer states that when interacting on brand pages on social behavior factors such as perceived usefulness, perceived networking sites, consumers can identify functional values, ease of use, facilitating conditions, performance expectancy, emotional values, self-orientation values, social values, and Information support, and perceived privacy into the relational values. We then categorize theories classified as technological group.

As explained by Davis [44], perceived customer value are; uses and gratifications theory, usefulness is the extent to which a person believes that commitment trust theory, customer motivation theory, technology can improve performance, while perceived ease customer value theory, and loyalty theory.

Performance expectancy is the user's social commerce adoption at the organizational level. Sheikh [20] defines Oliveira [41] explained that technology, organization, and that facilitating conditions is a level of user confidence that environmental factor could influence innovation at the the system's use has been supported by organizational and organizational level. TOE is used by Abed [3] to determine technical infrastructure. Third, consumer behavior factors in social commerce factors that influence SME's social commerce adoption in consider social aspects.

Factors such as social presence, Saudi Arabia. By seeing the trend in the last six years, social commerce construct, social support, and social Figure 2 depicts that theory in organizational behavior interaction are included in this factor group.

According to setting is still a new research area in social commerce Edwin B. Parker [46], social presence is defined as the adoption. We can expect a theory of organizational behavior importance of people's role in mediating communication and is still rare research on social commerce adoption. Further, social commerce construction is a factor related to social commerce, such as online referrals, ratings and reviews, forums and communities, and recommendations [47]. Fourth, a group of external factors refers to the influence of the consumer environment.

According to Awa [48], the consumer environment combines industry structure, availability of technology service providers, and the organization's dogmatic environment. This study includes factors such as external motivation, consumer pressure, and top management support as external factors. External motivation, explained by Xuequn [29], can motivate individuals to get the desired results and avoid unwanted results. On the other hand, top management support refers to how much higher management supports adopting Figure 2 Theory in social commerce adoption technology [49].