6,881 research outputs found
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 customersâ e-loyalty by making crucial changes in each purchase stage
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What drives consumers' e-loyalty to airlines web site? Conceptual framework and managerial implications
This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure continuance intentions of online shopping for airlines web sites. The sample respondent 465online users in Saudi Arabia. A structural equation model confirms model fit. Perceived usefulness, enjoyment, social pressure, and loyalty incentives are determinants of online flight booking continuance in Saudi Arabia. This research moves beyond online booking intentions and includes factors affecting online booking continuance. The research model explains 53% of the intention to continue booking using airlines web sites
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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
Driving online shopping: Spending and behavioral differences among women in 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 sample consists of 650 female respondents. A structural equation model confirms model fit. Perceived enjoyment, usefulness, and subjective norms are determinants of online shopping continuance in Saudi Arabia. High and low online spenders among women in Saudi Arabia are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived site quality to perceived usefulness is not invariant between high and low e-shoppers in Saudi Arabia. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 60% of the female respondentsâ intention to continue shopping online. Online strategies cannot ignore either the direct and indirect spending differences on continuance intentions, and 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
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 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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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
Developing a model of the behavioural intentions of older adults towards internet service providers : a UK perspective
Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holdersCountries around the globe have an ageing population that faces problems such as cognition, memory and visual difficulties. Mobile devices and products are part of daily life and to utilise them the role of internet service providers is essential. This research-in-progress paper aims to identify and evaluate factors that influence the older populationâs (over 50 years) selection of an internet service provider (ISP) as well as their continuous intention and behaviour to remain with the ISP. The outcomes of this research study are aimed at policymakers, academia and industryFinal Published versio
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