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

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

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 respondents’ 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

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

Switching Intention and Intention to Use Personal Cloud Storage Services Among Chinese Undergraduates

Purpose: As one of the emerging Internet technologies, cloud technology may be broadly categorized as cloud computing and cloud storage. Personal Cloud Storage Service (PCSS) is an important part of cloud technology. Thus, this study investigates the factors influencing Hangzhou undergraduates' switching intentions and intention to use personal cloud storage services. Research design, data, and methodology: The data were collected from 515 undergraduates at Zhejiang University, Zhejiang Gongshang University, and Zhejiang University of Technology. The sampling techniques are judgmental sampling, stratified random sampling, and snowball sampling. The item-objective congruence (IOC) and Cronbach's Alpha of the pilot test were approved before the data collection. Afterwards, this study applied confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: The findings indicate that perceived ease of use has a significant impact on perceived usefulness. Perceived usefulness, perceived ease of use and attitude significantly affect intention to use. Perceived risk significantly affected the switching intention. Finally, switching cost and perceived usefulness significantly affect the switching intention. Conclusion: Personal cloud storage service providers should enhance the security and should continue to improve its PCSS products and optimize the membership price model, enabling free users to use the service by sending them advertisements

THE EFFECTS OF PUSH-PULL-MOORING ON THE SWITCHING MODEL FOR SOCIAL NETWORK SITES MIGRATION

Although the number of users has been growing exponentially in SNSs, some SNSs are facing a financial crisis and might be shut down in the near future. Therefore, understand users\u27 incentives to switch to another SNS has great influence on operators\u27 business performance. The study extended Push-Pull-Mooring migratory theory to explain the switching behaviors of users in SNS. Structural equation modeling will applied to analyze data collected from a filed survey. The result can construct a solid switching framework and help operators to understand their customer better

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

Empirical Study of Online Auction Seller Switching: The Case of Yahoo vs. Ruten in Taiwan

Most online auction platform providers (OAPPs) agree that the majority of their profits comes from users, i.e., their buyers and sellers. The major concern of OAPPs is how to gain and lock in users in order to maintain and enhance a competitive edge. Customer switching is one of the primary problems of all companies, including OAPPs. This study focused on online auction sellers and attempted to understand their switching behavior. We developed an integrated model that consisted of OAPP strategies (anti-switching and anti-lock-in), value-based factors (platform qualities and switching costs), lock-in factors (network effects), and perceived values to explore the switching intentions of online auction sellers. The model was tested using a field study of 248 sellers from two online auction websites. The results show that OAPP strategies will affect switching costs which affect perceived value which, in turn, impacts a seller’s switching behavior. Our findings indicate that value-based factors directly influence perceived value which could suitably explain a seller’s decision to switch from one OAPP to another. The study suggests that OAPPs should develop strategies and leverage the network effect to avoid customer switching

The Role of Habit in Post-Adoption Switching of Personal Information Technologies: An Empirical Investigation

Unlike technology users in business organizations, users of personal information technologies are usually not bound to specific products and have the freedom to switch from one product to a substitute. As a unique and widespread product level post-adoption behavior, IT user switching has not garnered sufficient attention in the current literature. Prior research has suggested that a consumer’s decision to switch follows careful reasoning on three distinct groups of factors: push, pull, and mooring. Given the highly routinized nature of post-adoption IT use, we draw from research on habit in social psychology and post-adoption user behavior literatures, and argue that users’ habit plays a critical role in post-adoption IT switching. Specifically, we posit that the habit of using the incumbent product both contributes to the mooring effects during the formation of intention to switch, and moderates the relationship between intention and switching. We tested our hypotheses on a sample of 414 users presented with a choice of switching their Web browsers. Our findings confirm the direct influence of potential switchers’ habit on switching intention, and the interaction between habit and switching intention on switching. Our overall model explains 55 percent of total variance in users’ intention to switch and 23 percent of total variance in user switching. This study advances the theoretical and empirical understanding of post-adoption technology switching, valuable to both researchers and practitioners

Dynamics of Portal Email Switching: Attractive Alternatives and Switching Costs

Internet portals have been using the email service to attract new members and to retain existing customers. This research aims to enhance the understanding of mechanisms associated to users\u27 intention for email switching (IES). We have employed customer\u27s satisfaction on email service, attractive alternatives, and switching cost to explain the dynamics of IES. Customer\u27s satisfaction is measured in terms of storage capacity, spam blocking, interface design, and system stability variables. Setup cost and continuity cost are chosen as switching costs. By conducting a survey with 1,408 responses, we have found the vital importance of user satisfaction for service continuation. Variables of attractive alternatives and continuity cost demonstrated its strong association with IES. We have also found that attractive alternatives moderates the relationship of customers’ satisfaction and IES, but the moderating effects of switching cost are weak. Our investigation indicates that the findings of extant studies on the dynamics of service switching or re-purchase mostly apply to the email service as well