Factors Influencing Online Shopping Behavior of Urban Consumers in India

Author(s):  
Rajyalakshmi Nittala

This study examines the factors influencing online shopping behavior of urban consumers in the State of Andhra Pradesh, India and provides a better understanding of the potential of electronic marketing for both researchers and online retailers. Data from a sample of 1500 Internet users (distributed evenly among six selected major cities) was collected by a structured questionnaire covering demographic profile and the factors influencing online shopping. Factor analysis and multiple regression analysis are used to establish relationship between the factors influencing online shopping and online shopping behavior. The study identified that perceived risk and price positively influenced online shopping behavior. Results also indicated that positive attitude, product risk and financial risk affect negatively the online shopping behavior.

2015 ◽  
Vol 5 (1) ◽  
pp. 38-50 ◽  
Author(s):  
Rajyalakshmi Nittala

This study examines the factors influencing online shopping behavior of urban consumers in the State of Andhra Pradesh, India and provides a better understanding of the potential of electronic marketing for both researchers and online retailers. Data from a sample of 1500 Internet users (distributed evenly among six selected major cities) was collected by a structured questionnaire covering demographic profile and the factors influencing online shopping. Factor analysis and multiple regression analysis are used to establish relationship between the factors influencing online shopping and online shopping behavior. The study identified that perceived risk and price positively influenced online shopping behavior. Results also indicated that positive attitude, product risk and financial risk affect negatively the online shopping behavior.


2018 ◽  
Vol 7 (4) ◽  
pp. 2485 ◽  
Author(s):  
Charu Panwar

The study aims to understand the consumer buying behavior while shopping online. The study unveils the multidimensional perceived risk in online shopping that will be helpful for the marketers in mitigating the perceived risk. The study used universally accepted determinants of consumers’ perceived risk namely financial risk, product risk, delivery risk, time risk and privacy risk. This multi-pronged perceived risk has significant impact on the online shopping behavior of the customer and adversely affects their purchase behavior. The total number of 180 respondent has been selected for the primary study. The convenient sampling method of non-probability sampling has been used for selection of respondents. The study found that the demographics have a major role to play on consumers’ perception towards online shopping. Income and gender are the two important factors identified that may have considerable impact on consumers’ perception towards online shopping. T-test, ANOVA and regression analysis has been used for data analysis purpose. 


2019 ◽  
Vol 7 (4) ◽  
pp. 342-356
Author(s):  
Anam Bhatti ◽  
Shahrin Saad ◽  
Salimon Maruf Gbadebo

The purpose of this study is to examine the direct influence of financial risk, privacy risk, and product risk on online shopping behavior. Existing study model developed on the base of theoretical background. In doing this, 280 questionnaires were examined using Smart PLS-SEM. Convenience sampling used in this study. While the bulk of prior studies discovered a negative relationship between risks and online shopping behavior, this study also indicates that negative influence on online shopping behavior. The study offers additional insights into how risks can be decreased to increase the online shopping behavior that can be used to improve the plan while online shopping behavior can be enhanced. The current study reveals some important factors that affect the online shopping behavior of consumers and if we minimize these risks then significantly enhance the ratio of profits from online channels.


2016 ◽  
Vol 19 (4) ◽  
pp. 68-80
Author(s):  
Huong Hoang Diem Nguyen ◽  
Minh Thi Binh Nguyen ◽  
Tram Ngoc Bich Nguyen

The study investigates key factors that affect consumers' attitude towards shopping online and examines its influence on online shopping behavior. A model with six independent variables including Financial risk, Product risk, Convenience risk, Non-Delivery risk, Return risk, Service and Infrastructure is utilized. Data were collected from 500 online shopping consumers in three cities, namely Ho Chi Minh, Ha Noi and Da Nang. Results show that all six independent variables are statistically significant in explaining consumers' attitudes towards online shopping, in which consumer perception about service and infrastructure is the most significant, with positive effect. On the contrary, consumer perception about Financial risk has a negative effect on the attitude. The findings also reveal the positive role of attitude in encouraging online shopping behavior.


2021 ◽  
Vol 19 (2) ◽  
pp. 1-16
Author(s):  
Musrat Siyal ◽  
Saeed Siyal ◽  
Jun Wu ◽  
Debajyoti Pal ◽  
Muhammad Mujahid Memon

Online shopping is an emerging trend throughout the world. Likewise, it is used in China among Chinese consumers, but not all foreigners use it frequently due to several factors. This study discussed those factors which cause hindrance for foreigners to use online shopping and their behavior towards it. To do so, the authors have proposed the model by extending the technology acceptance model (TAM). The data were collected from the international students in China through a survey questionnaire and analyzed by SPSS to draw the results of the proposed relationships. The findings show that the online shopping behavior of international students in China is negatively related to financial risk and positively related to trust and ease of use. Moreover, purchase intention mediates these relationships. The results will be useful for consumers and online sellers to retain existing consumers and attract more foreigners studying in China. Moreover, the paper mentioned the implications and future directions of the study.


Author(s):  
Ángel Herrero-Crespo ◽  
Ignacio Rodríguez-del-Bosque

The risk or uncertainty perceived on a conduct (e.g. purchasing or consuming of a product, or using an information system) by the individuals has been traditionally identified as one of the main determinants of consumer behavior. In particular, the influence of perceived risk has been specially linked to high involvement products or conducts (Laurent & Kapferer, 1985) which imply a high value or concern for the individual, and that are usually purchased after long and careful consideration. In the specific context of e-commerce, perceived risk has been traditionally identified as one of the main barriers for Internet shopping acceptance and diffusion (Korgaonkar & Wolin, 1999; Goldsmith & Lafferty, 2001; Miyazaki & Fernández, 2001; Wu & Wang, 2005). However, the empirical evidence available regarding this issue is contradictory, and some authors have found that the influence exerted by perceived risk on consumers’ online shopping behavior may not be so relevant (Jarvenpaa & Todd, 1997; Herrero & Rodríguez del Bosque, 2008).


Author(s):  
Chand Prakash Saini

The purpose of this article is to identify and study various risks that stop potential online shoppers to shop online. A total of 268 potential online shoppers were personally surveyed with a structured questionnaire. These respondents were from Gurgaon city. Exploratory factor analysis and regression analysis were used to assess the potential consumers' risk perception towards online retailing. It was found that potential online shoppers considered product risk, privacy risk, time risk, social risk, and security risk to be important while thinking of online shopping. Among all these risks security risks were found to be on potential online buyers' minds followed by product risk, social risk, privacy risk, and time risk. Online shopping behavior was the dependent variable in the study.


foresight ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 285-317 ◽  
Author(s):  
Gunjan Sharma ◽  
Naval Bajpai ◽  
Kushagra Kulshreshtha ◽  
Vikas Tripathi ◽  
Prince Dubey

PurposeThe online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a complete product/service offering by exploring and examining the different combinations of online shopping attributes to provide the customized experience. Therefore, this study aims to fill the gap of customer desired experience and present scenario in online shopping behavior.Design/methodology/approachThe exploration of attributes pertaining to online shopping behavior was done by seeking theoretical support from different technology adoption theories/models and the Delphi technique, exercised with active participants of online and offline shopping. The theoretical and experience shared attributes were devised and social desirability scale (SDS) was used for eliminating the social desirability bias. Further, the questionnaire was administered online and offline during mall intercept. The Conjoint analysis was used to investigate the relative importance and utilities of the attributes and its levels individually and compositely at different levels.FindingsIn the context, brand loyalty, online reputation management and Web interactivity were found most relavant followed by e-WOM, perceived risk and price. The specific levels of attributes such as taking consumer advice, search engine optimization (SEO), perception-based interactivity, consumer message boards, product risk and discount pricing were the crucial in motivating the customers for online shopping. This research affords the avenue for the marketers to motivate and delight consumers to retribalize by the way of “e-tribalizing.”Research limitations/implicationsThe current study was conducted in confined geographical locations and limited in sample size; thus, the issue of generalization may prevail, but forthcoming researchers may exercise the techniques with better probabilistic sampling technique. The mass customization of the website features by comparing attribute orientation of customers around websites was recommended with the third-party certification to reduce the consumers’ perceived risk during online shopping. Finally, the different levels, such as Facebook fan page in ORM and Everyday Low Price (EDLP) in pricing may be considered for the future research work.Originality/valueThe research studies on online shopping behavior with Web interactivity, e-WOM, perceived risk, brand loyalty, ORM and price using a decompositional technique are scant. This study persuades the customers to go for online shopping by putting them in the almost real-time purchasing scenario. The study confirmed the need of people to retribalize through e-tribalization by the way of customization for the masses in the context of online shopping.


2018 ◽  
Vol 3 (2) ◽  
pp. 203-209
Author(s):  
Endah Setya Octaviani ◽  
Hendra Gunawan

This study aims to determine the effect of perveived risk on consumer online shopping behavior of fashion product. The significant difference presented are the product category, using the category of fashion product as the most demand category by consumers. Samples used are students in the field of accounting at universities. The result of this research are there is negative influence of perception of product risk to customer satisfaction and re-purchased intention. The perveived cost risk has no negative effect on satisfaction and re-purchased intention. Perception of individual risk do not have a negative effect on customer satisfaction and re-purchased intention.


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