Fear: A Misunderstood Component of Organizational Transformation

Corporate transformations are being implemented by many organizations, however, successes are remarkably rare. This paper suggests that a contributing factor might be the ineffective use of fear in employee communications. Rather than reducing fear, companies can enhance the transformation process by harnessing fear to quickly change behavior. Protection motivation theory has been applied by marketing researchers to suggest that fear appeals containing strong threats and information on coping strategies can be successful in changing behavior. Human resource managers can be instrumental in designing effective communications that incorporate fear-inducing messages and information on coping strategies

The Other Pathway To The Boardroom: Interpersonal Influence Behavior As A Substitute For Elite Credentials And Majority Status In Obtaining Board Appointments

Using survey data on interpersonal influence behavior from a large sample of managers and chief executive officers (CEOs) at Forbes 500 companies, we examine how ingratiatory behavior directed at individuals who control access to board positions can provide an alternative pathway to the boardroom for managers who lack the social and educational credentials associated with the power elite. Findings show that top managers who engage in ingratiatory behavior toward their CEO, with ingratiation comprising flattery, opinion conformity, and favor-rendering, will be more likely to receive board appointments at other firms where their CEO serves as director and at boards to which the CEO is indirectly connected in the board interlock network. Further results suggest that interpersonal influence behavior substitutes to some degree for the advantages of an elite background or demographic majority status. Our findings help explain why norms of director deference to CEOs have persisted despite increased diversity in the corporate elite and have implications for research on corporate governance, social networks in the corporate elite, and for the sociological question of whether demographic minorities and individuals who lack privileged backgrounds have equal access to positions of leadership in large U.S. companies. Our study ultimately suggests that such individuals face a rather subtle and perhaps unexpected form of social discrimination, in that they must engage in a higher level of interpersonal influence behavior in order to have the same chance of obtaining a board appointment.Managemen

First impressions: A survey on vision-based apparent personality trait analysis

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the computational point of view, by far speech and text have been the most considered cues of information for analyzing personality. However, recently there has been an increasing interest from the computer vision community in analyzing personality from visual data. Recent computer vision approaches are able to accurately analyze human faces, body postures and behaviors, and use these information to infer apparent personality traits. Because of the overwhelming research interest in this topic, and of the potential impact that this sort of methods could have in society, we present in this paper an up-to-date review of existing vision-based approaches for apparent personality trait recognition. We describe seminal and cutting edge works on the subject, discussing and comparing their distinctive features and limitations. Future venues of research in the field are identified and discussed. Furthermore, aspects on the subjectivity in data labeling/evaluation, as well as current datasets and challenges organized to push the research on the field are reviewed.Peer ReviewedPostprint (author's final draft