Despite their generally increasing use, the adoption of mobile shopping applications often differs across purchase contexts. In order to advance our understanding of smartphonebased mobile shopping acceptance, this study integrates and extends existing approaches from technology acceptance literature by examining two previously underexplored aspects. Firstly, the study examines the impact of different mobile and personal benefits (instant connectivity, contextual value and hedonic motivation), customer characteristics (habit) and risk facets (financial, performance, and security risk) as antecedents of mobile shopping acceptance. Secondly, it is assumed that several acceptance drivers differ in relevance subject to the perception of three mobile shopping characteristics (location sensitivity, time criticality, and extent of control), while other drivers are assumed to matter independent of the context. Based on a dataset of 410 smartphone shoppers, empirical results demonstrate that several acceptance predictors are associated with ease of use and usefulness, which in turn affect intentional and behavioral outcomes. Furthermore, the extent to which risks and benefits impact ease of use and usefulness is influenced by the three contextual characteristics. From a managerial perspective, results show which factors to consider in the development of mobile shopping applications and in which different application contexts they matter.

Research provides increasing evidence that women and men differ in their decisions to trust. However, information systems research does not satisfactorily explain why these gender differences exist. One possible reason is that, surprisingly, theoretical concepts often do not address the most obvious factor that influences human behavior: biology. Given the essential role of biological factors-and specifically those of the brain-in decisions to trust, the biological influences should naturally include those related to gender. As trust considerations in economic decision making have become increasingly complex with the expansion of Internet use, understanding the related biological/brain functions and the involvement of gender provides a range of valuable insights. investigating human behavior should consider the role of biological factors. In practice, biological factors are a significant consideration for management, marketing, and engineering attempts to influence behavior.

In a representative sample of the German population (n = 946), we explored the links between self-control, compulsive buying, and debts. Participants completed the self-control scale (Tangney, Boone, & Baumeister, 2004) and the German Addictive Buying Scale (Raab, Neuner, Reisch, & Scherhorn, 2005). Additionally, they gave information about their real debts. It was observed that self-control was negatively related to debts while compulsive buying was positively related to debts. Detailed analyses revealed that the link between selfcontrol and debts was fully mediated by compulsive buying. Finally, there was a gender effect on compulsive buying: women were more prone to compulsive buying than men. Age also was significantly negatively related to compulsive buying and positively linked to selfcontrol. Household income was not linked to self-control, compulsive buying, and debts.Implications for practice, policy, and research are discussed.

Purpose This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context. Design/methodology/approach The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling. Findings Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application. Research limitations/implications Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes. Originality/value This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications.

Research has shown that people differ in their susceptibility to impulsive buying. The appeal of product packaging has the potential to trigger impulsive buying even for consumers with no intention to make a purchase. The aim of the present study was to investigate whether individual differences in consumers’ impulsive buying tendencies affect unconscious neural responses during the perception of product packaging. Functional magnetic resonance imaging (fMRI) was applied to measure neural responses to the perception of product packages in participants with different impulsive buying tendencies. The results of the study support and expand prior research in impulsive and reflective information processing and behavior. First, attractive versus neutral packages evoked more intensive activity changes in brain regions associated with an impulsive system. Second, attractive and unattractive versus neutral packages led to less intensive activity changes in regions associated with a reflective system. Third, attractive packages activated regions associated with reward, whereas unattractive packages activated regions associated with negative emotions. The results suggest that there is indeed a corresponding relationship between stronger impulsive buying tendencies and activity in brain areas associated with impulsive and reflective processes.