Risk Factors Discriminating Online Metropolitan Women Shoppers

2017 ◽  
Vol 7 (1) ◽  
pp. 52-64
Author(s):  
G. Rajini ◽  
M. Krithika
Keyword(s):  
Financial Risk ◽  
Online Shopping ◽  
Product Category ◽  
Social Risk ◽  
Security Risk ◽  
Multiple Discriminant Analysis ◽  
Product Categories ◽  
Physical Risk ◽  
Product Risk ◽  
Psychological Risk

Online shopping has been really male - oriented as the product categories were limited to software, computers, music and computer accessories. As the product category expanded to clothing, food, home care and toys, women started to adopt online shopping. Nowadays there is a massive surge in online shopping particularly among metropolitan women, as they tend to purchase both necessary and discretionary products. According to the report by Associate Chamber of Trade and Industry of India (ASSOCHAM), over 80% of the online shopping is done by metropolitan women shoppers.The present study investigates the prominent perceived risks of employed women in online shopping through a consumer survey and by applying multiple discriminant analysis .The results of the empirical analysis demonstrated that perceived physical risk and product risk were found vital in discriminating the respondents as intermediate or experts in online shopping .Whereas perceived psychological risk, quality risk, Information Security Risk, Time Risk, Delivery Risk, Social Risk, Source Risk and financial risk perception during online purchase adoption contributes comparatively lesser for discrimination. The findings elucidate how marketers can formulate and implement risk-reducing strategies during online purchasing.

Risk Factors Discriminating Online Metropolitan Women Shoppers

2019 ◽  
pp. 1043-1055
Author(s):  
G. Rajini ◽  
M. Krithika
Keyword(s):  
Financial Risk ◽  
Online Shopping ◽  
Product Category ◽  
Social Risk ◽  
Security Risk ◽  
Multiple Discriminant Analysis ◽  
Product Categories ◽  
Online Purchase ◽  
Physical Risk ◽  
Product Risk

Online shopping has been really male - oriented as the product categories were limited to software, computers, music and computer accessories. As the product category expanded to clothing, food, home care and toys, women started to adopt online shopping. Nowadays there is a massive surge in online shopping particularly among metropolitan women, as they tend to purchase both necessary and discretionary products. According to the report by Associate Chamber of Trade and Industry of India (ASSOCHAM), over 80% of the online shopping is done by metropolitan women shoppers.The present study investigates the prominent perceived risks of employed women in online shopping through a consumer survey and by applying multiple discriminant analysis .The results of the empirical analysis demonstrated that perceived physical risk and product risk were found vital in discriminating the respondents as intermediate or experts in online shopping .Whereas perceived psychological risk, quality risk, Information Security Risk, Time Risk, Delivery Risk, Social Risk, Source Risk and financial risk perception during online purchase adoption contributes comparatively lesser for discrimination. The findings elucidate how marketers can formulate and implement risk-reducing strategies during online purchasing.

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.

scholarly journals Post COVID-19 Pandemic International Travel: Does Risk Perception and Stress-Level Affect Future Travel Intention?

2021 ◽  
Vol 24 (1) ◽  
pp. 1
Author(s):  
Ahmad Febri Falahuddin ◽  
Clare Teroviel Tergu ◽  
Rachele Brollo ◽  
Ratih Oktri Nanda
Keyword(s):  
Risk Perception ◽  
Stress Level ◽  
Financial Risk ◽  
International Travel ◽  
Future Market ◽  
Social Risk ◽  
Travel And Tourism ◽  
Physical Risk ◽  
Psychological Risk ◽  
The Relationship

The COVID-19 pandemic has extremely affected several industries including international travel and tourism. Many scholars have tried to describe the cause-effects of this major phenomenon. This study majorly aims to explore the relationship between risk perception and travel intention where stress level prone to COVID-19 quarantine serves as a moderating factor. The researchers believed that the influence of the dimensions of risk perception including social risk, psychological risk, physical risk, performance risk, financial risk and time risk on travel intention will be significant when the variable of stress level intervenes. This paper used a quantitative approach involving 409 respondents around the world. The data were gathered via online questionnaires facilitated by Google form and Wenjuanxing. The respective questionnaires were available in five languages (Chinese, English, Italian, French and Indonesian). Both descriptive and inferential statistics were used to analyze the data. The outcome of the hierarchical multiple regression (HMR) test resulted in a positive connection between all independent variables and travel intention simultaneously but not partially. The uppermost influence was found in social risk. Meanwhile, financial risk and time risk indicate no significant relationship. Lastly, the researchers believe that understanding the relationships between the variables of this study would be beneficial for the DMOs to predict the future market and rearrange strategies after being affected by the pandemic.

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.

Customers’ Risk Perception Towards Electronic Banking Services

2019 ◽  
Vol 118 (11) ◽  
pp. 424-432
Author(s):  
SK.Saravanan
Keyword(s):  
Risk Perception ◽  
Perceived Risk ◽  
Credit Card ◽  
Financial Risk ◽  
Internet Banking ◽  
Social Risk ◽  
Security Risk ◽  
Electronic Banking ◽  
Risk Dimensions ◽  
Psychological Risk

The main aim of this study is to measure the factors which influence the risk perception of customers while using electronic banking channel. The significant findings of this study are, internet banking is having high risk assumed by most of the respondents. Based on the risk dimensions, financial risk influencing more compared to the other types of risk. Most of the respondents are assuming that financial risk and psychological risk is more in credit card. Performance risk is more in a debit card, time risk, psychological risk, security risk and social risk are huge in internet banking. Financial risk is the mediating factor for determining the perceived risk of electronic banking customers.

A SCALE DEVELOPMENT APPROACH TO PERCEIVED RISK IN PURCHASE OF CARS

2016 ◽  
Vol 12 (02) ◽  
Author(s):  
T Frank Sunil Justus ◽  
T Sunitha ◽  
M. Gnanasundari
Keyword(s):  
Perceived Risk ◽  
Tamil Nadu ◽  
Financial Risk ◽  
Social Risk ◽  
Fit Statistics ◽  
Car Market ◽  
Physical Risk ◽  
Development Approach ◽  
Psychological Risk ◽  
Vehicle Market

Perceived risk is an ambiguity that consumers face when they cannot foresee the outcome of their purchase decisions. Perceived risk occurs when an individual consumer perceives the possible hazard or chance of loss as the result of a purchase decision. Consumers are influenced by risks that they perceive whether or not such risks actually exist. The objective of the paper is to identify the dimensions of perceived risk and to develop a scale for measurement of perceived risk in purchase of car The study involved 150 respondents and was conducted over a forty five day period in January 2014 in Cuddalore district of Tamil Nadu. Five brands of cars namely Maruti, Hyundai, Tata, Toyota, Honda and Ford alone was considered for the study. Exploratory factor analysis with a varimax rotation was conducted on the total 64 questions, which were later reduced to nine dimensions. The nine dimensions of perceived risk identified for the study included physical risk, psychological risk, functional risk, social risk, financial risk, time risk, decision risk, obsolescence risk, and facility risk. When the nine factors were allowed to correlate, the fit statistics suggested a good model fit. The developed scale will be useful to car companies to make a check on the important components that sums up the perceived risk for that customer. In future scales can be developed to identify the perceived risk for luxury car market segment as well as for sports utility vehicle market as also involving brands that was not considered for the study.

Prioritization of multi-dimensional risk for digital services using the generalized analytic network process

2019 ◽  
Vol 21 (2) ◽  
pp. 146-163 ◽  
Author(s):  
Syed Ziaul Mustafa ◽  
Arpan Kumar Kar
Keyword(s):  
Financial Risk ◽  
Smart Cities ◽  
Analytic Network Process ◽  
Social Risk ◽  
Content Type ◽  
Digital Services ◽  
Performance Risk ◽  
Physical Risk ◽  
Network Process ◽  
Psychological Risk

PurposeIn current times, organizations operating in emerging economies are providing digital services to its citizen the internet. Literature indicates that digital services are facing major challenges with respect to its adoption among users groups due to the perceived risks.Design/methodology/approachWith the use of generalized analytic network process (GANP), prioritization of different dimensions of risk has been done on the basis of an empirical survey among user groups in India.FindingsThe result indicates that dimensions like privacy risk, performance risk and financial risk are more important risks across digital services models. However, physical risk, social risk, psychological risk and time risk are comparatively less important risks across digital services. This research also finds out that the end users are reluctant to provide their personal information.Research limitations/implicationsThe sample size is relatively small which limits generalizability of results beyond India. However, an application of GANP has been showcased for empirical research.Practical implicationsThe research outcome can help managers in deciding which dimensions of risk are more important for digital service delivery and thus facilitate adoption.Originality/valueThis paper focused on the different facets of risk perceived by consumers, toward the digital services available in smart cities. Perceived risk dimensions such as privacy risk, performance risk, financial risk, physical risk, social risk, psychological risk and time risk have shown that there is a need to prioritize these risks to the digital services which is offered to the residents of the smart cities.

scholarly journals IMPACT OF PERCEIVED RISK ON CUSTOMER’S ONLINE PURCHASE INTENTION TOWARDS BRANDED APPARELS

2021 ◽  
Vol 1 (1) ◽  
pp. 38-62
Author(s):  
Wajiha Iqbal
Keyword(s):  
Perceived Risk ◽  
Purchase Intention ◽  
Financial Risk ◽  
Negative Influence ◽  
Social Risk ◽  
Security Risk ◽  
Online Purchase ◽  
Two Factors ◽  
Product Risk ◽  
The Impact

The purpose of the current research is to assess the influence of perceived risk on the online purchase intention of customers towards branded apparels. To discuss perceived risk, the use of five different factors was made which are product risk, time risk, social risk, security risk, and financial risk. It has evaluated the impact of these risks on online purchase intention. To collect data, a survey has been used as a method and quantitative analysis used for testing the hypothesis established. Data were collected from 20 respondents who participated in the survey online and the collected data were analyzed by using IBM SPSS Statistics 25. The findings suggest that there is an influence of perceived risk on consumers when they are purchasing branded apparel online. Two factors product and financial risk have a significant and negative influence on customers online purchase intention. However, other factors which are security, social, and time risk are insignificant. In the context of practical implications, this study would be helpful for online retailers and would provide them with an overview of the customer’s perspective regarding the risks that restrict them from purchasing branded apparel online.

Indian consumers’ risk perception in buying green products: the case of LED light bulbs

2018 ◽  
Vol 30 (4) ◽  
pp. 927-951 ◽  
Author(s):  
Sujit Kumar Ray ◽  
Sangeeta Sahney
Keyword(s):  
Risk Perception ◽  
Financial Risk ◽  
Social Risk ◽  
Green Products ◽  
Content Type ◽  
Performance Risk ◽  
Indian Consumers ◽  
And Performance ◽  
Psychological Risk ◽  
Overall Risk

PurposeThe purpose of this paper is to examine how the various perceived risk facets such as financial risk, performance risk, psychological risk, social risk, and physical risk influence the Indian consumers’ perceived overall risk during the purchase of green products such as energy-efficient LED light bulbs.Design/methodology/approachA self-administered questionnaire comprising a total of 29 items was employed over a sample of 272 respondents. The structural equation modeling using partial least squares was used for data analysis.FindingsPsychological risk emerged as the most influential of the various risk facets in affecting perceived overall risk. Financial, physical, and performance risks emerged as the second, third, and fourth most influential risk facets, respectively, which affect the perceived overall risk. Surprisingly, social risk did not emerge as an influential facet when it comes to affecting perceived overall risk. Further, psychological and financial risks appeared to have a positive medium-level influence on the perceived overall risk, whereas physical and performance risks appeared to have a positive weak influence on the perceived overall risks. The influence of financial risk on the perceived overall risk was found to be partially mediated by performance risk.Originality/valueThe study is unique in the sense that it reflects the risk perception of potential consumers in one of the largest emerging markets of the world, when it comes to purchase of green products.

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.

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