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. 

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.

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.

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.

Trust in Online Shopping Behavior

2012 ◽  
pp. 456-465
Author(s):  
Yongqiang Sun ◽  
Nan Wang
Keyword(s):  
Information Disclosure ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Purchase Behavior ◽  
Future Research ◽  
Privacy Concern ◽  
Big Picture ◽  
Research Findings ◽  
Online Shopping Behavior ◽  
Post Purchase

Trust, which dominates the research on online shopping behavior, is relevant to various consumer behaviors across different online shopping stages. To provide a big picture of the research on trust in the online shopping context, this chapter reviews the literature on this topic and summarizes the major research findings. Specifically, trust-related behaviors are identified according to the three online shopping stages: information adoption and information disclosure behavior at the pre-purchase stage, product purchase behavior at the purchase stage, and relational behavior such as electronic word-of-mouth (eWOM) and re-purchase at the post-purchase stage. The research topics relevant to these behaviors, including recommendation agent, information credibility, privacy concern, trust building and transfer process, and relationship marketing in the online shopping context are detailed. The future research directions such as location-based services, trust and distrust, and trust repair are also highlighted.

Effect of Perceived Risk on E-Commerce Acceptance

2010 ◽  
pp. 693-700 ◽  
Author(s):  
Ángel Herrero-Crespo ◽  
Ignacio Rodríguez-del-Bosque
Keyword(s):  
Information System ◽  
Perceived Risk ◽  
Online Shopping ◽  
Careful Consideration ◽  
Shopping Behavior ◽  
Internet Shopping ◽  
Main Determinants ◽  
Online Shopping Behavior ◽  
The Individual ◽  
And Diffusion

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).

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.

Foresight for online shopping behavior: a study of attribution for “what next syndrome”

foresight ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 285-317 ◽  
Author(s):  
Gunjan Sharma ◽  
Naval Bajpai ◽  
Kushagra Kulshreshtha ◽  
Vikas Tripathi ◽  
Prince Dubey
Keyword(s):  
Social Desirability ◽  
Brand Loyalty ◽  
Perceived Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Content Type ◽  
Product Service ◽  
Service Offering ◽  
Online Shopping Behavior ◽  
Different Levels

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.

Analysis Online Shopping Behavior of Consumer Using Decision Tree

2011 ◽  
Vol 271-273 ◽  
pp. 891-894 ◽  
Author(s):  
Lei Yue Yao ◽  
Jian Ying Xiong
Keyword(s):  
Decision Tree ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Purchase Behavior ◽  
Monetary Model ◽  
Decision Variables ◽  
Demonstration Experiment ◽  
Online Shopping Behavior ◽  
Decision Making Model ◽  
C5.0 Decision Tree

Trading failure is the main reason for a dispute of C2C e-commerce. So predict the behavior of transactions can assist buyers and sellers negotiated transactions, helps to reduce transaction disputes. Separate the success and failure purchase record, then establish decision-making model through the C5.0 decision tree and RFM(Recency, Frequency, Monetary) model on consumer purchase behavior data, quantify the importance of the decision variables, the demonstration experiment shows the prediction accuracy is more than 80%.

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