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

Who Spends More Online? The Influence of Time, Usage Variety, and Privacy Concern on Online Spending

The paper tests the influence of adoption time, online time, usage variety, and privacy concern on online spending. Findings support the hypothesis that online time, adoption time, and usage variety, the three dimensions of Internet usage experience, have a positive and significant influence on the amount of money consumers spend online, and privacy concern has a negative and significant influence. The control variables included in the model are gender, age, education, and income. Gender, age, and education did not influence online spending. However, income has a significant effect on online spending. Theoretical and strategic implications and recommendations for future research are presented

Can a click buy a little happiness? The impact of business-to-consumer e-commerce on subjective well-being

This paper presents the first empirical investigation into the effect of e-shopping on subjective well-being. The analysis relies on an Italian nationally and regionally representative dataset from Italy (n = 4,130) drawn from the 2008 wave of the Survey of Household Income and Wealth (SHIW) carried out by the Bank of Italy. Probit, OLS regressions and instrumental variables estimates show that e-shopping is strongly and positively associated with subjective well-being.happiness; subjective well-being; Internet; business-to-consumer e-commerce; B2C; e-shopping; instrumental variables; Italy

Can a click buy a little happiness? The impact of business-to-consumer e-commerce on subjective well-being

This paper presents the first empirical investigation into the effect of e-shopping on subjective well-being. The analysis relies on a nationally and regionally representative dataset from Italy (n = 4,130) drawn from the 2008 wave of the Survey of Household Income and Wealth (SHIW) carried out by the Bank of Italy. Probit, OLS regressions and instrumental variables estimates show that e-shopping is strongly and positively associated with subjective well-being.

Effects of White Space on Consumer Perceptions of Value in E-Commerce

As e-commerce becomes an increasingly large industry, questions remain about how the isolated effects of design elements on websites influence consumer perceptions and purchasing behavior. This study used a quantitative approach to measuring the effect of a ubiquitous element of design, white space, on the perception of the monetary value of individual items. White space is a key component of design and website usability, yet it has been shown to be related to the perception of luxury. Little is known about the direct relationship between manipulation of white space and the outcomes on consumer perceptions of value in an e-commerce context. This study found no significant difference between two levels of total white space area (large vs. small) measured by participants\u27 perceived cost of items (chairs). In contrast, while holding total white space constant, the effect of white space distance between images was significant for males but not for females. Additionally, no significant relationship between gender and frequency of online shopping behavior was found, χ2(1) = 3.19, p = .07, ϕ = .17. Gender and amount of time spent per month online were significantly related, χ2(1) = 6.21, p = .013, ϕ = .24

Can a click buy a little happiness? The impact of business-to-consumer e-commerce on subjective well-being

This paper presents the first empirical investigation into the effect of e-shopping on subjective well-being. The analysis relies on a nationally and regionally representative dataset from Italy (n = 4,130) drawn from the 2008 wave of the Survey of Household Income and Wealth (SHIW) carried out by the Bank of Italy. Probit, OLS regressions and instrumental variables estimates show that e-shopping is strongly and positively associated with subjective well-being.Happiness, subjective well-being, Internet, business-to-consumer e-commerce, B2C, e-shopping, instrumental variables, Italy.

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

Measuring compulsive buying behaviour: Psychometric validity of three different scales and prevalence in the general population and in shopping centres

Due to the problems of measurement and the lack of nationally representative data, the extent of compulsive buying behaviour (CBB) is relatively unknown. Methods: The validity of three different instruments was tested: Edwards Compulsive Buying Scale (ECBS; Edwards, 1993), Questionnaire About Buying Behavior (QABB; Lejoyeux & Adès, 1994) and Richmond Compulsive Buying Scale (RCBS; Ridgway, et. al., 2008) using two independent samples. One was nationally representative of the Hungarian population (N=2710) while the other comprised shopping mall customers (N=1447). Results: A new, four-factor solution for the ECBS was developed (ECBS-R), and confirmed the other two measures. Additionally, cut-off scores were defined for all measures. Results showed that the prevalence of CBB is 1.85% (with QABB) in the general population but significantly higher in shopping mall customers (8.7% with ECBS-R, 13.3% with QABB and 2.5% with RCBS-R). Conclusions: Due to the diversity of content, each measure identifies a somewhat different CBB group