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Splash advertisements have been one of the most fastest-growing advertising in mobile apps. Given the intrusiveness of ads, mobile splash advertisements introduced skip control as an interactive design to increase users' active role in advertising. This study aims to explore how skip control of splash advertisements affects ad effectiveness, given the moderating role of user habit. This research opted for an experimental approach by using a self-developed mobile app. The study conducted three experiments by randomly launching splash advertisement conditions (i.e., skippable ad vs. non-skippable ad, top skip button vs. bottom skip button, and countdown timer vs. non-countdown timer). In total, 505 participants representing the characteristics of Chinese mobile users were recruited in three experiments. The findings show that each design of skip control has different effects on ad effectiveness in terms of ad acceptance and avoidance. Additionally, the type of user habits (i.e., clicking, watching, and skipping habits) has positive moderating effects on the relationship between different designs of skip control and ad effectiveness. This study fulfills the urgent need to investigate the impact of the skipping design on ad effectiveness moderated by different types of user habits. [ABSTRACT FROM AUTHOR]

Although researchers have devoted great effort to explore the antecedents of altruistic behaviours (a type of organisational citizenship behaviours), the important role of technical factors (social media) remains unclear. Drawing on social comparison and organisational support theory, this study explored how social media affordances influence employees' altruistic behaviours from both positive and negative perspectives. In this study, 302 employees from organisations in China were surveyed. We found that social media affordances could facilitate employees' perceived organisational support and social comparison of ability. Perceived organisational support positively mediated the relationship between social media affordances and altruistic behaviours. Although the evidence did not support the notion that social comparison of ability could directly dampen altruistic behaviours, a post-hoc analysis found that it could dampen the positive impact of perceived organisational support on developing altruistic behaviours. This study expanded previous research focusing on only positive or negative effects of social media use in the workplace by investigating the dual effects and the interaction effect in between. Here, we discuss the results and provide practical guidance for managers and organisations. [ABSTRACT FROM AUTHOR]

The emergence of gig economy has facilitated the adoption of algorithm-based management systems, creating favorable conditions for gig workers. Nevertheless, it also brings various challenges and uncertainties, especially gig workers' safety performance, having become a prominent concern. Based on ego-depletion theory, we investigate the underlying mechanism through which platform algorithmic control influences on safety performance of gig workers. Based on two points of data from 314 gig workers in China, we found that the three dimensions of algorithmic control (viz., standardized guidance, tracking evaluation and behavioral constraint) have differential effects on safety performance. On one hand, algorithmic standardized guidance is negatively related to ego-depletion, which in turn improves safety performance. On the other hand, algorithmic tracking evaluation and behavioral constraint are positively related to ego-depletion, and consequently reducing safety performance. Furthermore, algorithmic transparency moderates the relationship between algorithmic standardized guidance, algorithmic tracking evaluation, and ego-depletion; self-efficacy moderates the relationship between algorithmic standardized guidance and ego-depletion; both trait mindfulness and leadership safety commitment moderate the relationship between ego-depletion and safety performance. This study offers valuable insights for platform enterprises to optimize the effectiveness of algorithmic control. [ABSTRACT FROM AUTHOR]