Several researchers have suggested that a talented, quality workforce will become a more important source of competitive advantage for firms in the future. Drawing on social identity theory and signaling theory, the authors hypothesize that firms can use their corporate social performance (CSP) activities to attract job applicants. Specifically, signaling theory suggests that a firm’s CSP sends signals to prospective job applicants about what it would be like to work for a firm. Social identity theory suggests that job applicants have (...) higher self-images whenworking for socially responsive firms over their less responsive counterparts. The authors conducted an experiment in which they manipulated CSP and found that prospective job applicants are more likely to pursue jobs from socially responsible firms than from firms with poor social performance reputations. The implications of these findings for academicians and practitioners alike are discussed. (shrink)

When experimental participants are given the chance to reflect and revise their initial judgments in a dynamic conversational context, do their responses to philosophical scenarios differ from responses to those same scenarios presented in a traditional static survey? In three experiments comparing responses given in conversational contexts with responses to traditional static surveys, we find no consistent evidence that responses differ in these different formats. This aligns with recent findings that various manipulations of reflectiveness have no effect on participants’ judgments (...) about philosophical scenarios. Although we did not find a consistent quantitative effect of format (conversation vs. static survey), conversational experiments still provide qualitative insights into debates about how participants are understanding (or misunderstanding) the scenarios they read in experimental studies, whether they are replacing difficult questions with questions that are more easily answered, and how participants are imagining the scenarios they read in ways that differ from what is explicitly stated by experimenters. We argue that conversational experiments—"Socratic questionnaires"—help show what is going on “under the hood” of traditional survey designs in the experimental investigation of philosophical questions. (shrink)

Modern life sciences research is increasingly relying on artificial intelligence (AI) approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in large, complex data sets, its widespread application in biological sciences represents a significant deviation from traditional methods of scientific inquiry. As such, the interplay between these models and scientific understanding in biology is a topic with important implications for the future of scientific research, yet it (...) is a subject that has received little attention. Here, we draw from an epistemological toolkit to contextualize recent applications of ML in biological sciences under modern philosophical theories of understanding, identifying general principles that can guide the design and application of ML systems to model biological phenomena and advance scientific knowledge. We propose that conceptions of scientific understanding as information compression, qualitative intelligibility, and dependency relation modelling provide a useful framework for interpreting ML-mediated understanding of biological systems. Through a detailed analysis of two key application areas of ML in modern biological research – protein structure prediction and single cell RNA-sequencing – we explore how these features have thus far enabled ML systems to advance scientific understanding of their target phenomena, how they may guide the development of future ML models, and the key obstacles that remain in preventing ML from achieving its potential as a tool for biological discovery. Consideration of the epistemological features of ML applications in biology will improve the prospects of these methods to solve important problems and advance scientific understanding of living systems. (shrink)

While modern theories of emotion emphasize the role of higher-order cognitive processes such as semantics in human emotion, much research into emotional learning has ignored the potential contribut...

This study examines firms that have experienced an industrial and/or environ-mental crisis and proposes that top management team (TMT) characteristics will affect a firm's ability to minimize the severity of these crisis events. Specifically, heterogeneity in the TMT will exhibit a curvilinear (U-shaped) relationship with the severity of firm crises. Our results suggest that a moderate level of age and tenure heterogeneity are positively related to a firm's ability to successfully minimize the severity of crises. Variance in educational backgrounds was (...) unrelated to crisis severity. Functional background heterogeneity exhibited a curvilinear relationship with crisis severity but was not U-shaped as hypothesized. (shrink)

This study in progress addresses the question of how market competition affects corporate social performance. An empirical analysis is described designed to shed light on recent theoretical developments on the relation between market structure and stakeholder responsiveness and to inform on the old debate between Friedman and Corporate Social Responsibility.

This paper was originally a discussion proposal but data has been collected since June and we would like to share some results in this proceedings article. Our goal is to link the CSR literature with the social entrepreneurship literature by studying the growth of an international organization and discuss our methodologies and findings to date.

Previous research has found that people choose to reappraise low intensity images more often than high intensity images. However, this research does not account for image ambivalence, which is presence of both positive and negative cues in a stimulus. The purpose of this research was to determine differences in ambivalence in high intensity and low intensity images used in previous research (experiments 1–2), and if ambivalence played a role in emotion regulation choice in addition to intensity (experiments 3–4). Experiments 1 (...) and 2 found that the low intensity images were more ambivalent than the high intensity images. Experiment 2 further found a positive relationship between ambivalence of an image and reappraisal affordances. Experiments 3 and 4 found that people chose to reappraise ambivalent images more often than non-ambivalent images, and they also chose to reappraise low intensity images more often than high intensity images. These experiments support the idea that ambivalence is a factor in emotion regulation choice. Future research should consider the impact ambivalent stimuli have on emotion regulation, including the potential for leveraging ambivalent stimuli to improve one’s emotion regulation ability. (shrink)