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Discriminatory pricing practices have raised consumers’ negative reactions. This study investigates how AI agent’s presence and the use of explanations impact consumers' acceptance of discriminatory pricing. A scenario-based experiment revealed that AI agent’s presence negatively moderates the negative relationship between offer unfavorability and offer acceptance, which is mediated by perceived justice and invasion of privacy. Moreover, this research indicated that for unfavored price, environmentbased explanation is more effective than user-based explanation and the positive effect of AI agent’s presence on offer acceptance is more pronounced when providing user-based explanations. This study contributes to price management literature and AI decision literature by illustrating how the AI agent's presence asymmetrically shapes consumers' perceptions of offer outcomes, enriching our understanding of consumer responses to AI. The findings have implications for firms managing discriminatory pricing, offering insights into optimal AI agents and explanation utilization for enhancing customer experience and business performance. [ABSTRACT FROM AUTHOR]

The purpose of this study is to examine the competing models of interactivity. Interactivity is conceptualized as intrinsic media attributes which afford message-sending and message-receiving through the same medium. Operationally, interactivity is manipulated along two dimensions: the number of keywords (responsiveness) and the number of hyperlinks. Regarding this, the study has three goals: first, it will investigate whether the influence of interactivity is converted to media effects through the mechanism of perceived interactivity. Second, it will explore whether the relationship between interactivity and perceived interactivity is moderated by personality traits, such as self-efficacy and need for cognition. Finally, it will develop an Internet self-efficacy scale. There is currently no widely accepted Internet self-efficacy scale. As such, this research will be helpful for researchers to clarify inconsistent empirical results concerning the relationship between interactivity and media effects. The study employs audience tracking software to record the duration of a web page viewed, the amount of hyperlinks clicked, and the address of a web page visited, which serve as behavioral indicators of interactivity. [ABSTRACT FROM AUTHOR]

Person-Environment (PE) fit has been constantly associated with positive organizational outcomes. However, further knowledge about its boundary conditions is direly needed. In this paper we examine the moderating effect of learning goal orientation (LGO) on the link between demands-abilities Person- Job (PJ) fit its proximal and distal consequences such as job satisfaction, OCB, and task performance. We contend that for individuals with a high level of LGO, demands-abilities PJ fit matters less in predicting their job satisfaction, which in turn reduces the indirect effect of PJ fit on distal outcomes (i.e., OCB and task performance). Using data collected from 119 pair of managers and their supervisors, our results largely supported our moderated mediation model, which show that the indirect effect of demands-abilities PJ fit on OCB and task performance is significant only when LGO is low. We discuss the theoretical and practical implications for managers and HR practices. [ABSTRACT FROM AUTHOR]