43,733 research outputs found
Measuring Repurchase Intention on Fashion Online Shopping
The internet has become one of many ways for consumers to shop. With the rapid development of internet connection, online shopping has become increasingly popular around the world. All forms of conveniences available through online businesses have lured consumers to switch from offline shopping to online slowly. This research emphasizes the influence of e-service convenience on customer satisfaction, perceived service value, and repurchase intention on fashion online shopping websites in Surabaya. The sample is taken from 115 Surabaya respondents. The sampling technique uses a non-random sampling technique. The analytical method used is the partial least square (PLS). The results show that e-service convenience has a significant impact on customer satisfaction, customer satisfaction has a significant impact on repurchase intention, e-service convenience has a significant impact on repurchase intention, and perceived value has a significant impact on repurchase intention. The results also show the importance of customer satisfaction which influences repurchase intention. Online fashion business owners must promote their websites so that more consumers know about the existence of online shopping fashion websites. Business owners must also increase the convenience and comfort of consumers in shopping online
Identifying Key Factors influencing Internet Shopping Behavior for E-Satisfaction
With Internet shopping gaining more attention and momentum, a better understanding of the online consumer is now in the forefront of most retail strategies. The growth of online retailing or Internet shopping has provided the apparel industry with additional avenues to reach the consumer. Previous research has shown that consumers’ intent to purchase online is highly driven by their satisfaction. Studies have touted the growth of on-line shopping and the growing purchases of those with Internet access (Lin & Sun, 2009). In fact, apparel products have been consistently ranked as one of the most frequently purchased items through the Internet (Seckler, 2001). One of the drivers for the growth of Internet shopping is satisfaction [with online shopping]. There is a plethora of studies that provide empirical support to the relationship between satisfaction and purchase intention (Lin & Sun, 2009; George, 2002; Fenech & O’Cass, 2001). Meanwhile, studies on satisfaction specific to niche markets have been sporadic. One major theoretical model often utilized as the platform for online retail satisfaction studies is the Theory of Planned Behavior (TPB) (Ajzen, 1991). This model focuses on a person’s intention to perform a specific behavior based on his/her attitude [toward that specific behavior along] with the subjective norms and/or held by that person’s associates (Ajzen 1991). Among other authors, Yoh et al. (2003) and George (2002) have applied Ajzen’s theory to online shopping. But, what variables influence e-satisfaction? After two extensive pre-test surveys, a very large sample of students and community members were used to solicit and understanding of many variables on E-satisfaction. The regression analysis results indicate Experience and Shopping Innovation had the strongest effect on E-satisfaction while all other variables Interest, Perceived Usefulness, Attitude, Tactile Importance, and Convenience are significant. Results indicate that if consumers have positive predispositions and interests toward online shopping, then they are more likely to be satisfied with the shopping outcome. The analysis indicated that 60.1 percent of the variance in E-satisfaction was explained by the model’s independent variables, with a significant F-value of 176.63 (p\u3c.001). The regression analysis results indicate that all variables were significant. Experience and Shopping Innovation had the strongest effect on E-satisfaction having beta weights of .647 and .275 respectively, with both being significant at p\u3c.01. Interest, Perceived Usefulness, and Attitude were also significant with beta weights of .292, .196, and .185, respectively, with both being significant at p\u3c.01 also. Tactile Importance and Convenience are significant at p\u3c.05 with beta weights of -.073, and -.106. As expected most variables had the model’s hypothesized direction of the effect. However, contrary to what was expected, the direction and strength of Convenience was not captured in the data. Although recent research has been directed to Web retailing; there has been little research to examine issues related to consumer characteristics on niche product category with consumers knowledgeable in the category such as this. Internet shopping is an alternative to the traditional in-store environment. If consumers have positive predispositions and interests toward online shopping, then they are more likely to be satisfied with the shopping outcome. From a strategic point of view, the challenge is for marketers to engage its target in order to enhance positive attitudes and maintain their interest with the product. From a customer relationship management perspective, this will help in developing long-term relationships with customers when satisfaction is prevalent. Surprisingly, a negative effect of convenience on satisfaction was found. One plausible explanation for this finding may be related to the context of the niche product utilized in this study. That is, when dealing with a specialty product like hospital gowns, convenience may not be as important as it is to get the right customized product. The study has illustrated the benefit of incorporating constructs from the MIS field to examine retailing opportunities. Specifically, that Experience and Shopping Innovation are strong predictors of web retailing in an Internet mediated environment. As new retailing opportunities, such as wireless shipping, are offered to shoppers, of current technology, (i.e. smartphones), marketers may use this model and key antecedents to predict E-satisfaction which is an important determinant of purchase behavior
Critical review of the e-loyalty literature: a purchase-centred framework
Over the last few years, the concept of online loyalty has been examined extensively in the literature, and it remains a topic of constant inquiry for both academics and marketing managers. The tremendous development of the Internet for both marketing and e-commerce settings, in conjunction with the growing desire of consumers to purchase online, has promoted two main outcomes: (a) increasing numbers of Business-to-Customer companies running businesses online and (b) the development of a variety of different e-loyalty research models. However, current research lacks a systematic review of the literature that provides a general conceptual framework on e-loyalty, which would help managers to understand their customers better, to take advantage of industry-related factors, and to improve their service quality. The present study is an attempt to critically synthesize results from multiple empirical studies on e-loyalty. Our findings illustrate that 62 instruments for measuring e-loyalty are currently in use, influenced predominantly by Zeithaml et al. (J Marketing. 1996;60(2):31-46) and Oliver (1997; Satisfaction: a behavioral perspective on the consumer. New York: McGraw Hill). Additionally, we propose a new general conceptual framework, which leads to antecedents dividing e-loyalty on the basis of the action of purchase into pre-purchase, during-purchase and after-purchase factors. To conclude, a number of managerial implementations are suggested in order to help marketing managers increase their customers’ e-loyalty by making crucial changes in each purchase stage
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Understanding the factors that derive continuance intention of e-shopping in Saudi Arabia: Age group differences in behaviour
The objective of this study is to clarify the theoretical problem and identify factors that could explain the level of continuance intention of e-shopping in context of Saudi Arabia. The study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure age differences with regard to continuance online shopping intentions in Saudi Arabia.
The sample (n=465) consists of 68.8% women and 31.4% men, 348 younger than 35 years old and 117 older than 35. A structural equation model confirms model fit. The research findings confirm that Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. The structural weights are mostly equivalent between the young and old groups, but the regression path from subjective norms to perceived usefulness is not invariant, with that relationship being stronger for the younger respondents.
This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The model explains 65% of the intention to continue shopping online. The research findings suggest that online strategies cannot ignore either the direct and indirect effects on continuance intentions in Saudi Arabia. The model can be generalized across the three main commercial regions of Saudi Arabia
Adapting tam and ECT: continuance intention of e-shopping in Saudi Arabia
The objective of this study is to clarify the theoretical problem and identify factors that could explain the level of continuance intention of e-shopping in context of Saudi Arabia. The study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure age differences with regard to continuance online shopping intentions. Structural equation model confirms model fit. The research findings confirm that Perceived
usefulness, enjoyment, and subjective norms are determinants of online shopping continuance. The structural weights are mostly equivalent between the young and old groups, but the regression path from subjective norms to perceived usefulness is not invariant, with that relationship being stronger for the younger respondents.
This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The model explains 65% of the intention to continue shopping online. The research findings suggest that online strategies cannot ignore either the direct and indirect effects on
continuance intentions
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The driving factors of continuance online shopping: Gender differences in behaviour among students in Saudi Arabia
This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure student gender differences with regard to continuance online shopping intentions in Saudi Arabia. The 234-respondent sample consists of 61.5% women and 38.5% men. A structural equation model confirms model fit.
Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Both male and female groups are equivalent. The structural weights are also largely equivalent, but the regression paths from subjective norms to enjoyment and subjective norms to continuance intention (in the men sample) and perceived usefulness to continuous intention (in the women sample) are not supported.
The model was operationally generalized across the whole of Saudi Arabia. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 71% of the intention to continue shopping online.
This research suggests that online strategies cannot ignore either the direct or indirect gender differences on continuance intentions in Saudi Arabia. The model can be generalized across Saudi Arabia
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The driving factors of continuance online shopping: Gender differences in behaviour the case of Saudi Arabia
This study proposes a revised technology acceptance model that integrates expectation confirmation
theory to measure gender differences with regard to continuance online shopping intentions in Saudi
Arabia. The 465-respondent sample consists of 68.8% women and 31.4% men. A structural equation
model confirms model fit.
Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping
continuance in Saudi Arabia. Both male and female groups are equivalent. The structural weights are
also largely equivalent, but the regression paths from perceived usefulness to subjective norms and to
continuous intention are not invariant between men and women.
The model was operationally generalized across the whole of Saudi Arabia. This research moves
beyond online shopping intentions and includes factors affecting online shopping continuance. The
research model explains 65% of the intention to continue shopping online.
This research suggests that online strategies cannot ignore either the direct and indirect gender
differences on continuance intentions in Saudi Arabia. The model can be generalized across Saudi
Arabia
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The driving factors of continuance intention of e-shopping: Gender differences in behaviour - the case of Saudi Arabia
The objective of this study is to propose a revised technology acceptance model that integrates expectation confirmation theory to measure gender differences with regard to continuance online shopping intentions in Saudi Arabia.
The sample was 465-respondent sample consists of 68.8% women and 31.4% men. A structural equation model confirms model fit. The research findings confirm that Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Both male and female groups are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived usefulness to subjective norms and to continuous intention are not invariant between men and women.
This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 65% of the intention to continue shopping online. The research findings suggest that online strategies cannot ignore either the direct and indirect gender differences on continuance intentions in Saudi Arabia. The model can be generalized across Saudi Arabia
Recommended from our members
The factors driving online shopping in Saudi Arabia: Regional and behavioral differences among women
This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure regional differences with regard to continuance online shopping intentions in Saudi Arabia. The sample consists of 650 female respondents. A structural equation model confirms model fit. Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Women in the eastern, western, and central region groups are equivalent. The structural weights are also largely equivalent, but the regression path from perceived usefulness to enjoyment is not invariant between female shoppers in the eastern and western regions or in the eastern and central regions. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 60% of the intention to continue shopping online. Furthermore, this research suggests that online strategies cannot ignore the influence of either direct or indirect regional differences on continuance intentions; the model can be generalized across Saudi Arabia
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