Interviews of deshopping behaviour: An analysis of theory of planned behaviour

Research reveals alarming results on the prevalence of the dishonest consumer behaviour known as deshopping. Deshopping is the “deliberate return of goods for reasons other than actual faults in the product, in its pure form premeditated prior to and during the consumption experience.” (Schmidt et al., 1999 p.2) In effect this means buying something with no intention of keeping it (Schmidt et al., 1999). The authors consider the implications of deshopping and retailers’ prevention of deshopping, exploring the research undertaken to date and the methodology for further research

Unethical consumers: Deshopping behaviour using the qualitative analysis of theory of planned behaviour and accompanied (de)shopping

Purpose Previous research indicates that deshopping is a prevalent and growing consumer behaviour. This paper examines deshopping from a consumer perspective, and applies the Theory of Planned Behaviour (TPB) to demonstrate how this behaviour can be managed and prevented. An accompanied (de)shop is also conducted. This paper also places deshopping within a legal and ethical context, in relation to the established literature in this field. Methodology approach This paper tests the TPB variables in a qualitative way by conducting in-depth interviews with deshoppers, who had completed a quantitative questionnaire. The results further support and enhance the quantitative TPB results collected previously with 535 consumers. An accompanied (de)shop is also reviewed, as this qualitative research technique, enables an enhanced understanding and evidence of the deshopping process, which has not been demonstrated previously. The findings demonstrate support for these qualitative research tool, which enable a deeper understanding of the deshopping process and its management. Findings The findings demonstrate important use of the TPB as a qualitative research technique. The model is also expanded and redesigned by adding additional variables as a result of this research. The accompanied (de)shop findings demonstrate support for this qualitative research tool, which also enables a deeper understanding of the deshopping process and its management. Practical implications The research concludes with the implications of deshopping for the industry and makes recommendations as how to reduce deshopping, as well as recommending the qualitative research techniques utilised to future researchers. Originality This paper has identified the key variables that influence deshopping, and demonstrates that procedures can be designed to reduce this behaviour by manipulating the TPB variables. This paper has also added additional variables to the TPB model, which have proved to be influential in deshopping behaviour, thereby developing theoretical knowledge of TPB. The use of the TPB has also provided a theoretical underpinning to utilising a consumer education program to prevent problem behaviours. This research demonstrates that this could alter deshoppers’ attitudes and subjective norms. This is also the first paper to place deshopping in a legal framework which highlights the legal loopholes in a retailer’s returns policy and the implications of new directives which will influence retailer’s abilities to refuse a return. This paper is also the first to explore deshopping within an ethical framework that has created new knowledge on the unethical consumer in relation to deshopping behaviour. This study also incorporates an accompanied (de)shop methodology; this form of research has never been undertaken in relation to deshopping activity and has generated completely new knowledge of what is happening when the actual behaviour is taking place

Label Identification from Statistical Tabulation (LIST)

There are no author-identified significant results in this report

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 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

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

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

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

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

The factors driving online shopping in Saudi Arabia: Gender differences and behavior

Purpose—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. Design/Methodology—The 465-respondent sample consists of 68.8% women and 31.4% men. A structural equation model confirms model fit. Findings—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. Originality—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. Research Implications—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