Effects of shopping addiction on consumer decision-making: Web-based studies in real time

Lo, Hui-Yi; Harvey, Nigel

doi:10.1556/jba.1.2012.006

Cited by 32 publications

(21 citation statements)

References 41 publications

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“…Behavioral addiction is individuals' failure to perceive the strength of post-addiction cravings and a failure to control desire [6]. For shopping addicts, shopping becomes uncontrolled and they not only buy items they need or they like [35], but also really spend their money and are anxious to miss a good opportunity to buy something.…”

Section: Shopping Addictionmentioning

confidence: 99%

Effects of Pros and Cons of Applying Big Data Analytics to Consumers’ Responses in an E-Commerce Context

Liaw

2017

Sustainability

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Abstract:The era of Big Data analytics has begun in most industries within developed countries. This new analytics tool has raised motivation for experts and researchers to study its impacts to business values and challenges. However, studies which help to understand customers' views and their behavior towards the applications of Big Data analytics are lacking. This research aims to explore and determine the pros and cons of applying Big Data analytics that affects customers' responses in an e-commerce environment. Data analyses were conducted in a sample of 273 respondents from Vietnam. The findings found that information search, recommendation system, dynamic pricing, and customer services had significant positive effects on customers' responses. Privacy and security, shopping addiction, and group influences were found to have significant negative effects on customers' responses. Customers' responses were measured at intention and behavior stages. Moreover, positive and negative effects simultaneously presented significant effect on customers' responses. Each dimension of positive and negative factors had different significant impacts on customers' intention and behavior. Specifically, information search had a significant influence on customers' intention and improved customers' behavior. Shopping addiction had a drastic change from intention to behavior compared to group influences and privacy and security. This study contributes to improve understanding of customers' responses under big data era. This could play an important role to develop sustainable consumers market. E-vendors can rely on Big Data analytics but over usage may have some negative applications.

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Section: Shopping Addictionmentioning

confidence: 99%

Effects of Pros and Cons of Applying Big Data Analytics to Consumers’ Responses in an E-Commerce Context

Liaw

2017

Sustainability

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“…Other studies have focused upon the consequences of OSA such as that by Lo and Harvey (2012) who look at the ways in which compulsive shoppers differ to normal shoppers in terms of their buying process and their emotional responses to the consequences of their buying. The study utilised an experimental design which involved the observation of online shoppers as they performed various shopping tasks such as searching, adding items to the shopping cart and payment.…”

Section: Development Of a Conceptual Model Of Online Shopping Addictionmentioning

confidence: 99%

Towards an understanding of Internet-based problem shopping behaviour: The concept of online shopping addiction and its proposed predictors

Rose¹,

Dhandayudham²

2014

Journal of Behavioral Addictions

195

113

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Background: Compulsive and addictive forms of consumption and buying behaviour have been researched in both business and medical literature. Shopping enabled via the Internet now introduces new features to the shopping experience that translate to positive benefits for the shopper. Evidence now suggests that this new shopping experience may lead to problematic online shopping behaviour. This paper provides a theoretical review of the literature relevant to online shopping addiction (OSA). Based on this selective review, a conceptual model of OSA is presented. Method: The selective review of the literature draws on searches within databases relevant to both clinical and consumer behaviour literature including EBSCO, ABI Pro-Quest, Web of Science – Social Citations Index, Medline, PsycINFO and Pubmed. The article reviews current thinking on problematic, and specifically addictive, behaviour in relation to online shopping. Results: The review of the literature enables the extension of existing knowledge into the Internet-context. A conceptual model of OSA is developed with theoretical support provided for the inclusion of 7 predictor variables: low self-esteem, low self-regulation; negative emotional state; enjoyment; female gender; social anonymity and cognitive overload. The construct of OSA is defined and six component criteria of OSA are proposed based on established technological addiction criteria. Conclusions: Current Internet-based shopping experiences may trigger problematic behaviours which can be classified on a spectrum which at the extreme end incorporates OSA. The development of a conceptual model provides a basis for the future measurement and testing of proposed predictor variables and the outcome variable OSA.

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“…CBD is listed as "shopping addiction" in the appendix of the most recent version of The Diagnostic and Statistical manual of Mental Disorders (DSM-5, APA), but it is not a recognised as a distinct mental disorder due to insufficient evidence to establish the diagnostic criteria (American Psychiatric Association, 2013). Nonetheless, CBD is considered by many to constitute a behavioural addiction (Demetrovics and Griffiths, 2012;Lo and Harvey, 2012;Rose and Dhandayudham, 2014;Starcke et al, 2013). Like most addictive disorders, compulsive buying is characterised by both impulsive and compulsive aspects (Christenson et al, 1994;McElroy et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Prevalence and construct validity of compulsive buying disorder in shopping mall visitors

Maráz

Brink

Demetrovics

2015

Psychiatry Research

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Compulsive buying is a relatively new psychopathological concept and very few data are currently available regarding the prevalence and validity of compulsive buying disorder. In this cross-sectional study, we establish the prevalence of compulsive buying disorder in shopping mall visitors and explore the construct validity of the concept using the revised version of the Edwards Compulsive Buying Scale in 1,441 shopping mall visitors looking at shopping habits, current substance use (smoking, alcohol and illicit drug) and various psychological characteristics. Overall,3) of our sample was classified as having a compulsive buying disorder. Compulsive buyers were younger, less educated and more likely to be female than non-compulsive buyers. They were also more likely to have used licit and illicit substances. Compulsive buyers also reported higher levels of impulsivity and obsessive-compulsive symptoms, lower levels of well-being and self-esteem and more psychological distress. Finally, compulsive buyers were five times more likely to meet criteria for borderline personality disorder than non-compulsive buyers. Compulsive buying is a frequent disorder in shopping mall visitors and is associated with important and robust indicators of psychopathology thus supporting the validity of the construct. Dear Professor Buchsbaum, E ö t v ö s L or á n d U n i ve r s i t y * I ns t i t ut e of P sy c h ol o g y D E P A R T M E N T O F C L I N I C A L P S Y C H O L O G Y Aniko MarazWe would like the attached manuscript titled 'Prevalence and construct validity of compulsive buying disorder in shopping mall visitors' to be considered for publication in Psychiatry Research. Although there is considerable research regarding in the field of compulsive buying behavior, the prevalence of the validity of the disorder are relatively unknown. In this cross-sectional study, 8.7% of our sample (n=1441) had compulsive buying disorder and we found that compulsive buying is associated with important and robust indicators of psychopathology thus supporting the validity of the construct.The authors (Aniko Maraz, Wim van den Brink, Zsolt Demetrovics) declare that they do not have any interests that could constitute a real, potential or apparent conflict of interest with respect to his/her involvement in the publication. The authors also declare that they do not have any financial or other relations (e.g. directorship, consultancy or speaker fee) with companies, trade associations, unions or groups (including civic associations and public interest groups) that may gain or lose financially from the results or conclusions in the study.The study was exclusively carried out by the investigators. The authors of this manuscript had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. This paper has not been, nor will be, published in whole or in part by any other journal and is under consideration for publication elsewhere. The submission to your journal ha...

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Effects of shopping addiction on consumer decision-making: Web-based studies in real time

Cited by 32 publications

References 41 publications

Effects of Pros and Cons of Applying Big Data Analytics to Consumers’ Responses in an E-Commerce Context

Effects of Pros and Cons of Applying Big Data Analytics to Consumers’ Responses in an E-Commerce Context

Towards an understanding of Internet-based problem shopping behaviour: The concept of online shopping addiction and its proposed predictors

Prevalence and construct validity of compulsive buying disorder in shopping mall visitors

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