Institutions are increasingly employing algorithms to provide performance feedback to individuals by tracking productivity, conducting performance appraisals, and developing improvement plans, compared to traditional human managers. However, this shift has provoked considerable debate over the effectiveness and fairness of algorithmic feedback. This study investigates the effects of negative performance feedback (NPF) on the attitudes, cognition and behavior of medical researchers, comparing NPF from algorithms versus humans. Two scenario-based experimental studies were conducted with a total sample of 660 medical researchers (algorithm (...) group: N1 = 411; human group: N2 = 249). Study 1 analyzes the differences in scientific misconduct, moral disengagement, and algorithmic attitudes between the two sources of NPF. The findings reveal that NPF from algorithms shows higher levels of moral disengagement, scientific misconduct, and negative attitudes towards algorithms compared to NPF from humans. Study 2, grounded in trait activation theory, investigates how NPF from algorithms triggers individual’s egoism and algorithm aversion, potentially leading to moral disengagement and scientific misconduct. Results indicate that algorithm aversion triggers individuals’ egoism, and their interaction enhances moral disengagement, which in turn leads to increased scientific misconduct among researchers. This relationship is also moderated by algorithmic transparency. The study concludes that while algorithms can streamline performance evaluations, they pose significant risks to scientific misconduct of researchers if not properly designed. These findings extend our understanding of NPF by highlighting the emotional and cognitive challenges algorithms face in decision-making processes, while also underscoring the importance of balancing technological efficiency with moral considerations to promote a healthy research environment. Moreover, managerial implications include integrating human oversight in algorithmic NPF processes and enhancing transparency and fairness to mitigate negative impacts on medical researchers’ attitudes and behaviors. (shrink)

Chinese e-commerce platforms have long helped to sell agricultural products through farmer-assisting marketing activities, effectively alleviating the problem of stagnant agricultural products in some areas, and have become a valuable cause-related marketing strategy. The ethical attributes of farmer-assisting agricultural products have unique value compared with other agricultural products. However, the existing research rarely pays attention to the influence of the ethical attributes of farmer-assisting agricultural products on consumers’ willingness to buy farmer-assisting agricultural products online. Based on collective efficacy theory and (...) risk perception theory, this study systematically explores the influence mechanism of ethical attributes on consumers’ willingness to buy farmer-assisting agricultural products online through three situational experiments. The results show that compared with functional ethical attributes, symbolic ethical attributes have a more positive impact on consumers’ willingness to buy farmer-assisting agricultural products online. In addition, it further reveals two mediating pathways of ethical effects and boundaries. This study helps to understand the ethical attributes of farmer-assisting agricultural products, and provides some practical suggestions for e-commerce enterprises implementing farmer-assisting marketing communication activities or marketers developing and promoting farmer-assisting agricultural products. (shrink)

To promote ethical and pro-environmental behavior, hypocrisy sometimes is made salient to individuals: i.e., they are made aware that their past behavior does not conform to expressed norms. The fact that this strategy may backfire and may even reduce the likelihood of individuals performing the desired action has been largely overlooked. This paper develops a theory of how hypocrisy stimulates two opposing heuristic processes: one that favors the former, positive outcome and one that renders hypocrisy non-effective. We test the model (...) and reveal important boundary conditions using the finding of a comprehensive field experiment. Situational and individual factors determine which of the competing mechanisms is activated. The paper contributes a novel understanding to managers and scholars of how hypocrisy operates and illuminates the contingencies of when this strategy is beneficial. (shrink)