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Modeling the moderation role of brand reputation in the relation between perceived risk and customers’ online shopping behavior in Egypt.

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... Moreover, the perceived privacy risk has positive and statistically significant impact on online shopping intentions of consumers. The current research replies to the call made by Hussien and AHamoudah (2024), Qalati et al. (2021), Ahmad and Ijaz, 2024), Baidoun and Salem, (2024), and Makhitha and Ngobeni (2024) to explain the confusing relationship of PPR, PSR, and OSI in varying product category, different populations, and different online e-commerce services. ...
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The purpose of current research is to find the impact of perceived security and privacy risks on online shopping intentions of consumers in the education sector. The security and privacy risks being antecedents of online purchase intentions of customers examined with the help of quantitative research methodology. The quantitative research design followed survey method to collect data using convenience sampling. The questionnaires-based survey conducted to obtain responses and final analysis conducted on 350 duly filled questionnaires. Smart PLS 4.0 software utilized in which bootstrapping technique used for statistical estimations. The data found to be reliable using Cronbach’s alpha and composite reliability. All the items of variables found to be valid using cross loading and outer loading. The results indicate that perceived privacy risk negatively impacts online shopping intentions of consumers, while perceived security risk has no impact on online shopping intentions of consumers. Future research could explore the moderating effect of gender between relationships of perceived privacy risk, security risk and online purchase intentions of consumers. The study can utilize nonstudent samples in future for generalizability of research.
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The purpose of this study is to investigate the effect of consumers’ perceive risk in online shopping. The perceived risk dimensions employed in this study are financial risk and information security. This is because they are found to negatively influence online shopping in the literature and are the major risk associated with online shopping according to one study. To investigate the hypotheses of the study, a survey was conducted and data collected from 147 students that use the Internet. The results of simple regression revealed that financial risk has no effect on online shopping. The results also showed that information security positively affects online shopping. The study provides marketers with the importance of consumers’ risk perception in order to deploy adequate riskreduction strategies in the internet shopping environment.
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This study aimed to investigate the relationship between security, individuality, reputation on cognitive trust, perceived risk, consumer attitudes, and purchase intention of online shopping. This study extended the model of customers “online shopping intention, including from the positive impact of customer trust and the negative impact on customers” perceived risk on online sales businesses. The research method used to evaluate and test the scale and theoretical model in the study is quantitative research with sample size n = 358 through the survey to deliver questionnaires directly to subjects in Vietnam. Structural equation modeling (SEM) was employed for data analyses. The results showed that security, and reputation positively affect cognitive trust, whereas it negatively affects perceived risk. Additionally, privacy has a negatively influence cognitive trust and perceived risk. Besides, cognitive trust had a positive influence on attitudes towards online shopping, but perceived risks negatively affect attitudes towards online shopping. In addition, the attitude towards online shopping positively affected customers’ intention to purchase online. Finally, attitude as a mediator, we confirm that there exists an indirect relationship between cognitive trust, perceived risk and purchase intention, which make a considerable contribution to a better insight into consumer behavior on online shopping in Vietnam. This study gave enterprises owners’ recommendations which is understanding the nature of online transactions which are customers and enterprises interact and transact mainly through websites and interfaces, which needs to build trust and peace of mind for customers is definitely consider seriously. The results may be generalized to a limited extent.
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The development of e-commerce has increased the popularity of online shopping worldwide. In Malaysia, it was reported that online shopping market size was RM1.8 billion in 2013 and it is estimated to reach RM5 billion by 2015. However, online shopping was rated 11th out of 15 purposes of using internet in 2012. Consumers' perceived risks of online shopping becomes a hot topic to research as it will directly influence users' attitude towards online purchasing, and their attitude will have significant impact to the online purchasing behaviour. The conceptualization of consumers' perceived risk, attitude and online shopping behaviour of this study provides empirical evidence in the study of consumer online behaviour. Four types of risks – product risk, financial, convenience and non-delivery risks – were examined in term of their effect on consumers' online attitude. A web-based survey was employed, and a total of 300 online shoppers of a Malaysia largest online marketplace participated in this study. The findings indicated that product risk, financial and non-delivery risks are hazardous and negatively affect the attitude of online shoppers. Convenience risk was found to have positive effect on consumers' attitude, denoting that online buyers of this site trusted the online seller and they encountered less troublesome with the site. It also implies that consumers did not really concern on non-convenience aspect of online shopping, such as handling of returned products and examine the quality of products featured in the online seller website. The online buyers' attitude was significantly and positively affects their online purchasing behaviour. The findings provide useful model for measuring and managing consumers' perceived risk in internet-based transaction to increase their involvement in online shopping and to reduce their cognitive dissonance in the e-commerce setting.
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An e-commerce website would taste its success only through its strong business models and loyal customers. Customer loyalty is given the prime weightage as the customer on the internet web are highly volatile and switch the brands very quickly than a brick and mortar store due to the lesser degree of physical evidence. In this scenario it becomes highly essential for management of the e-tailers to understand the behavior of the consumers at various situations as this may provide an important insight of the consumer which may be grabbed to create a highly sustainable website to provide highest customer satisfaction. This paper examines the relationship between purchasing decisions and intentions to shop online and the factors affecting the decisions regarding the same in the minds of the consumers. Consumer intention in web based shopping is analyzed through the comparison of the factors that facilitate or inhibit online purchasing of products and services using the theory of planned behavior. A theoretical model that explains purchase intentions was tested with a sample of 120 consumers.
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The influence of perceived risk on customers' purchasing behavior still plays an important role in the overall process of business to customer(B2C) E-commerce, though the extent to which it does so varies according to the characteristics of consumers. In this study, perceived risk dimensions affecting customers' purchasing behavior and their structural relationships were investigated through a customer survey and statistical analysis using the methods of confirmatory factor analysis and structural equation model. The result shows that the five independent dimensions, perceived health risk, perceived quality risk, perceived time risk, perceived delivery risk and perceived after-sale risk affect significantly customers' purchasing behavior, while perceived privacy risk, perceived social risk and perceived economic risk are the less relevant factors.
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Reputation systems based on buyer feedback play an important role in today's online markets. In this article, we provide a rigorous methodology to establish a relationship between a seller's feedback history and risk of default. We validate this method against eBay's reputation system, using a dataset of terminated users (Not-A-Registered-User or NARU) and the feedback left for them by buyers. By treating feedback rating data as a function of time, we characterize the tendency of change in seller feedback ratings in order to predict the behavior of a seller. We find that NARU sellers have significantly more negative feedback in their final weeks. Applying functional principal component analysis and classification tree methods, we find that when projecting the feedback data to an appropriate space, NARU and non-NARU sellers can be distinguished at better than 92% accuracy. We use this to provide a quantitative mechanism for evaluating the risk of trading with a seller who has less than perfect feedback, and offer advice on how much a buyer should offer to pay, given an asking price on a commodity item and a seller's feedback history.
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The authors integrate theory developed in several disciplines to determine five cognitive processes through which industrial buyers can develop trust of a supplier firm and its salesperson. These processes provide a theoretical framework used to identify antecedents of trust. The authors also examine the impact of supplier firm and salesperson trust on a buying firm's current supplier choice and future purchase intentions. The theoretical model is tested on data collected from more than 200 purchasing managers. The authors find that several variables influence the development of supplier firm and salesperson trust. Trust of the supplier firm and trust of the salesperson (operating indirectly through supplier firm trust) influence a buyer's anticipated future interaction with the supplier. However, after controlling for previous experience and supplier performance, neither trust of the selling firm nor its salesperson influence the current supplier selection decision.
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Purpose – The purpose of this paper is to examine and quantify how various uncertainties result in different perceived risk dimensions that hinder mobile payment (m-payment) acceptance. Design/methodology/approach – An uncertainty-risk-value framework was proposed based on perceived risk theory, prospect theory, and perceived value theory. Structural equation modeling method was used to test the research model. Findings – Perceived information asymmetry, perceived technology uncertainty, perceived regulatory uncertainty, and perceived service intangibility are confirmed as the main determinants of perceived risk, while perceived performance risk, perceived financial risk, and perceived privacy risk were found to have strong negative effects on perceived value and acceptance intention. Practical implications – The findings may help businesses and policy makers better understand the sources of perceived risk and help support the development of appropriate strategies to mitigate the risk concerns consumers have regarding m-payment. Originality/value – Although the hindering effects of perceived risk regarding m-payment acceptance have been confirmed in previous studies, the sources of perceived risk were rarely investigated. By examining the determinants of perceived risk in m-payment acceptance, this paper offers insights into how consumers perceive risks when adopting new innovations. Additionally, it bridges the gap between the antecedents and consequences of perceived risk.
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Perceived risk is conceptualized in terms of expected negative utility associated with automobile brand preferences. Empirical evidence supports the notion that importance of loss is more useful as a segmentation variable than as a component in a multiplicative model. The findings also indicate that probability of loss may operate at the handled risk level and importance of loss at the inherent risk level.
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It was once said that there is nothing so useful as a theory that works. Understanding the role of risk in consumer behavior may provide the basis for combining consumer behavior theory with marketing management action.
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The popularization of the Internet has made shopping through online stores and online auction websites increasingly common. Trends in online group purchasing and encouragement from social networks have changed consumption habits and shifted attention to the development of e-commerce. Previous studies have indicated that relative to physical stores, consumers still perceive higher risk in online shopping. The purpose of this study mainly aims to explore the importance of perceived risk in online shopping from a website quality perspective. A structural equation model is developed to test casual effects within a conceptual model. The empirical results show that (1) system quality and information quality do not have significant negative effects on perceived risk; (2) only e-service quality has a significant negative effect on perceived risk; (3) perceived risk has a significant negative effect on online loyalty; and (4) the negative relationship between perceived risk and online loyalty on consumer-to-consumer platforms will be stronger than that on business-to-consumer platforms. The managerial implications for online marketing managers and limitations are discussed.
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Purchase intentions for apparel products often require physical examination prior to purchase. Hence, greater risk is associated with shopping online for apparel products, making it important to examine factors that reduce various risks influencing online purchase intentions. This study examines and compares the impact of two of the most important risk reducers for online apparel shopping – product brand image and online store image – on specific types of perceived risks and online purchase intentions for apparel. The results show that product brand image influences consumers' online purchase intentions both directly and indirectly by reducing various risk perceptions. Online store image impacts purchase intentions indirectly by decreasing risk perceptions. The results of this study provide fresh insight into understanding the impact of product brand image and online store image on each type of perceived risk associated with online shopping.