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PurposeBuying behavior has been significantly altered by technological developments as a result of the rise of the Internet. Online buying behavior is also inextricably linked to electronic payment systems, such as credit cards. This paper investigates how credit-card systems and online shopping increases compulsive buying of female and male consumers.Design/methodology/approachIn the current study, the authors tested the influence of credit card possession and the role of Internet shopping on gender differences in compulsive buying in a representative German sample (n = 1,038). Binary logistic regression analysis and moderator analysis were applied.FindingsAs predicted, Internet shopping increased compulsive buying, but the association was the same for females and males. Further, credit card possession moderated the effect of gender on compulsive buying, with females showing a higher proneness to compulsive buying.Originality/valueThis research, which is based on a representative population study, contributes to the understanding of the role of credit cards and the one of online shopping in developing compulsive buying patterns among female and male consumers.

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A major aim of the present study was to examine the relationship between time perspective, i.e., habitual ways of relating to the past, present, and future, and sleep quality. A second aim was to test a model by which the expected negative relationship between deviation from a balanced time perspective (DBTP), a measure taking temporal biases across all three time frames into account, and life satisfaction was mediated by poor sleep quality. To these ends, a sample of young adults (N = 386) completed a version of the Zimbardo Time Perspective Inventory (S-ZTPI), Pittsburg Sleep Quality Index (PSQI), and the Satisfaction with Life Scale (SWLS). A measure of chronotype was in addition included for control purposes. Bivariate analyses revealed that the S-ZTPI subscales Past Negative, Future Negative and Present Fatalistic were associated with poorer sleep quality (higher PSQI scores), with significant associations in the opposite direction for Past Positive and Future Positive. However, DBTP was the strongest predictor of (poorer) sleep quality, suggesting that time perspective biases have an additive effect on sleep quality. Regression analyses with PSQI as the dependent variable and all six ZTPI subscales as the predictors indicated that time perspective accounted for about 20% of the variance in sleep quality (17% beyond chronotype), with Past Negative, Past Positive, and Future Negative as the unique predictors. The results additionally confirmed a strong relationship between DBTP and life satisfaction. Finally, data were consistent with the hypothesis that the association of DBTP and life satisfaction is mediated, in part, by sleep quality. Taken together, the results confirmed a substantial link between time perspective sleep-related problems, factors that may have a negative impact on life satisfaction.

Background and aims: Few studies about compulsive buying consider the economic framing situation. This study is concerned with the impact of different economic environments - the crisis in Greece vs. the boom in Turkey - on compulsive buying tendencies of students, while taking the role of gender and available money into account. Methods: Compulsive buying was measured by a Greek and Turkish translation of the German Compulsive Buying Scale (Raab, Neuner, Reisch & Scherhorn, 2005) in Greece and Turkey, which enabled an identification of compulsive and compensatory buyers. The questionnaires were administered to 119 Turkish and 123 Greek students (n = 242) enrolled in several universities in Athens and Istanbul. The data collection was conducted in a controlled and standardized way, namely in group-sessions lasting about 5 minutes, which were conducted and supervised by co-workers of the involved universities. Results: The results have shown that the percentage of compensatory buyers, but not compulsive buyers, within the Greek students sample was significantly smaller than within the Turkish student sample. Further as assumed the moderation of the economic situation could be confirmed: More available money only has a facilitating effect on compulsive buying tendencies under a positive economic environment. Conclusions: Anticipations about the financial situation and the general economic climate are more relevant for compulsive buying tendencies than one’s actual available money. Compensatory, but not compulsive buying was significantly smaller under crisis.