This study draws on the theory of cognitive dissonance to better understand how individuals make moral sense of responsible business behavior in a societal paradox characterized by interdependent and contradictory demands between important social objectives. Using a qualitative survey open to the U.S. public at the the start of the pandemic, the study proposes a typology called the 4R Model of Moral Sensemaking of Competing Social Problems. The 4R Model offers insights for businesses on how their responses to competing social problems may be perceived as either responsible and/or irresponsible. The study then expands the paradox and micro-CSR literatures.
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More organizations use AI in the hiring process than ever before, yet the perceived ethicality of such processes seems to be mixed. With such variation in our views of AI in hiring, we need to understand how these perceptions impact the organizations that use it. In two studies, we investigate how ethical perceptions of using AI in hiring are related to perceptions of organizational attractiveness and innovativeness. Our findings indicate that ethical perceptions of using AI in hiring are positively related to perceptions of organizational attractiveness, both directly and indirectly via perceptions of innovativeness, with variations depending on the type of hiring method used. For instance, we find that individuals who consider it ethical for organizations to use AI in ways often considered to be intrusive to privacy, such as analyzing social media content, view such organizations as both more innovative and attractive.
- Research
- Digital Transformation, Human Resources Management