scholarly journals Effect of Financial Risk, Privacy Risk and Product Risk on Online Shopping Behavior

2019 ◽  
Vol 7 (4) ◽  
pp. 342-356
Author(s):  
Anam Bhatti ◽  
Shahrin Saad ◽  
Salimon Maruf Gbadebo
Keyword(s):  
Financial Risk ◽  
Online Shopping ◽  
Negative Relationship ◽  
Negative Influence ◽  
Theoretical Background ◽  
Shopping Behavior ◽  
Privacy Risk ◽  
Product Risk ◽  
Convenience Sampling ◽  
Online Shopping Behavior

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.

Factors Influencing Online Shopping Behavior of Urban Consumers in India

2015 ◽  
Vol 5 (1) ◽  
pp. 38-50 ◽  
Author(s):  
Rajyalakshmi Nittala
Keyword(s):  
Perceived Risk ◽  
Financial Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Factors Influencing ◽  
Internet Users ◽  
Online Retailers ◽  
Product Risk ◽  
Electronic Marketing ◽  
Online Shopping Behavior

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.

Factors Influencing Online Shopping Behavior of Urban Consumers in India

2019 ◽  
pp. 1171-1185
Author(s):  
Rajyalakshmi Nittala
Keyword(s):  
Perceived Risk ◽  
Financial Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Factors Influencing ◽  
Internet Users ◽  
Online Retailers ◽  
Product Risk ◽  
Electronic Marketing ◽  
Online Shopping Behavior

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.

Difficulty in Transition

2021 ◽  
pp. 1144-1156
Author(s):  
Chand Prakash Saini
Keyword(s):  
Online Shopping ◽  
Shopping Behavior ◽  
Social Risk ◽  
Security Risk ◽  
Online Retailing ◽  
Privacy Risk ◽  
Security Risks ◽  
Online Shoppers ◽  
Product Risk ◽  
Online Shopping Behavior

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.

Difficulty in Transition

2020 ◽  
Vol 10 (2) ◽  
pp. 17-29
Author(s):  
Chand Prakash Saini
Keyword(s):  
Online Shopping ◽  
Shopping Behavior ◽  
Social Risk ◽  
Security Risk ◽  
Online Retailing ◽  
Privacy Risk ◽  
Security Risks ◽  
Online Shoppers ◽  
Product Risk ◽  
Online Shopping Behavior

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.

scholarly journals Consumer perceived risk in online shopping environment via Facebook as medium

2018 ◽  
Vol 7 (4) ◽  
pp. 2485 ◽  
Author(s):  
Charu Panwar
Keyword(s):  
Perceived Risk ◽  
Financial Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Purchase Behavior ◽  
Primary Study ◽  
Product Risk ◽  
Considerable Impact ◽  
And Gender ◽  
Online Shopping Behavior

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. 

scholarly journals Factors influencing consumers’ attitude in E commerce

2016 ◽  
Vol 19 (4) ◽  
pp. 68-80
Author(s):  
Huong Hoang Diem Nguyen ◽  
Minh Thi Binh Nguyen ◽  
Tram Ngoc Bich Nguyen
Keyword(s):  
Financial Risk ◽  
Online Shopping ◽  
Consumer Perception ◽  
Shopping Behavior ◽  
Key Factors ◽  
Positive Role ◽  
Independent Variables ◽  
Negative Effect ◽  
Product Risk ◽  
Online Shopping Behavior

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.

Consumer Perceptions of Factors Affecting Online Shopping Behavior

2021 ◽  
Vol 19 (2) ◽  
pp. 1-16
Author(s):  
Musrat Siyal ◽  
Saeed Siyal ◽  
Jun Wu ◽  
Debajyoti Pal ◽  
Muhammad Mujahid Memon
Keyword(s):  
International Students ◽  
Technology Acceptance ◽  
Purchase Intention ◽  
Financial Risk ◽  
Online Shopping ◽  
Ease Of Use ◽  
Shopping Behavior ◽  
Chinese Consumers ◽  
Factors Affecting ◽  
Online Shopping Behavior

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.

scholarly journals Perceived Risk on Consumer Online Shopping Behaviour

2018 ◽  
Vol 3 (2) ◽  
pp. 203-209
Author(s):  
Endah Setya Octaviani ◽  
Hendra Gunawan
Keyword(s):  
Customer Satisfaction ◽  
Perceived Risk ◽  
Online Shopping ◽  
Product Category ◽  
Negative Influence ◽  
Shopping Behavior ◽  
Individual Risk ◽  
Significant Difference ◽  
Negative Effect ◽  
Online Shopping Behavior

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.

Compulsive Online Shopping in Malaysia

2018 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Soo Cheng Chuah ◽  
Phaik Lian Ng ◽  
Noor Rita Mohamad Khan
Keyword(s):  
Sampling Method ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Compulsive Behavior ◽  
Reliable Test ◽  
Shopping Behaviour ◽  
The World ◽  
Klang Valley ◽  
Convenience Sampling ◽  
Online Shopping Behavior

The proliferation of e-commerce has induced the online shopping transactions around the world. The increase trend of online shopping illustrates that there is a dramatic increase in compulsive behavior on online shopping.  Shopping online could give an illusion to the consumers that they are not really spending money and become compulsive for many consumers. By adapting the questionnaires outlined, this study validates the compulsive online shopping scale to measure the compulsive online shopping behaviour in Malaysia context. A survey was conducted with a sample of 221 respondents based on convenience-sampling method in the Klang Valley. The factor analysis showed high reliable test of Cronbach alpha for the scales underlying the compulsive online shopping behavior. 

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