Nonverbal signals color the meanings of interpersonal relationships. Humans rely on facial, head, postural, and vocal signals to express relational messages along continua. Three of relevance are dominance-submission, composure-nervousness and trust-distrust. Machine learning and new automated analysis tools are making possible a deeper understanding of the dynamics of relational communication. These are explored in the context of group interactions during a game entailing deception. The “messiness” of studying communication under naturalistic conditions creates many measurement and design obstacles that are discussed (...) here. Possibilities for their mitigation are considered. (shrink)

This study tests the effects of top management team member collectivistic values and TMT dissatisfaction with the financial situation on the environmental ethics of TMT members. We also examine the moderating effect of collectivistic values on the relationship between financial dissatisfaction and environmental ethics. Analyses of multi-level and source data show that financial dissatisfaction of the TMT negatively affects TMT members’ environmental ethics. However, TMT members’ individual collectivism can increase TMT members’ environmental ethics. Analyses also show that TMT members’ collectivism (...) moderates the relationship between financial dissatisfaction and environmental ethics across individual and team levels. (shrink)

This study extends regulatory capture theory to investigate how and to what extent a firm’s political and nonpolitical ties jointly influence corporate regulatory participation. In the context of regulatory standards setting, although firms with political ties are better able to promote firm standards into industry regulations, it remains unclear whether the coexistence of firms’ nonpolitical ties (i.e., university ties and interlocked firms in our study) is more or less likely to reduce the effect of political ties. Although corporate leaders with (...) political and nonpolitical ties may provide complementary resources, they may follow different mechanisms to drive firm actions. We, thus, argue that nonpolitical ties likely reduce the effect of political ties on regulatory standards setting. Using a sample of public manufacturing firms in China, we find evidence that supports our predictions. Our study contributes to the regulatory capture literature by redirecting attention to the dynamics of political versus nonpolitical ties. (shrink)

This investigation sought to find the relationships among multiple dimensions of personality and multiple features of language style. Unlike previous investigations, after controlling for such other moderators as culture and socio-demographics, the current investigation explored those dimensions of naturalistic spoken language that most closely align with communication. In groups of five to eight players, participants from eight international locales completed hour-long competitive games consisting of a series of ostensible missions. Composite measures of quantity, lexical diversity, sentiment, immediacy and negations were (...) measured with an automated tool called SPLICE and with Linguistic Inquiry and Word Count. We also investigated style dynamics over the course of an interaction. We found predictors of extraversion, agreeableness, and neuroticism, but overall fewer significant associations than prior studies, suggesting greater heterogeneity in language style in contexts entailing interactivity, conversation rather than solitary message production, oral rather than written discourse, and groups rather than dyads. Extraverts were found to maintain greater linguistic style consistency over the course of an interaction. The discussion addresses the potential for Type I error when studying the relationship between language and personality. (shrink)