Text,competence and logic: An exercise

Professional medical practice, like other organizational conduct, relies upon records which document transactions between members and their clientele. Medical practitioners employ a set of conventions providing for the systematic recording and interpretation of medical record cards that forms a social organization underlying the records cards' ordinary usage. In this paper we examine these conventions and develop a computer program which captures elements of their structure and use. By doing so we illustrate one way in which sociological analysis can contribute to the design of intelligent systems. We also suggest that the emerging discipline of Artificial Intelligence might find recent developments in sociology pertinent to its concerns.     

Careers and productivity in an internal labor market

This paper contributes to the existing literature by evaluating the effects of age and tenure on careers and productivity within an internal labor market. We use the administrative personnel records of a long balanced panel of blue-collar workers from a manufacturing firm in Germany with a distinct classification of wage groups and unique information on workers’ productivity in form of suggestions for productivity improvement. Using robust locally weighted regression, our main findings suggest that the probability of promotion is highest for younger workers and early in the career. Older workers are less likely to be promoted. The likelihood of making a rewarded suggestion is inversely u-shaped with respect to tenure and age. Furthermore, workers’ ability and firm-specific human capital determine the workers’ careers and productivity.     

Changing your role models: Social learning and the Engel curve

By relating Engel curves and social learning, we explain the existence of differently shaped Engel curves—an interesting phenomenon in the theory of demand. A formal approach to cultural learning within a population of consumers accounts for some cognitive foundations of these demand patterns. We find that a changing influence of an individual's role models due to her increasing income, which entails new reference groups providing social identity, leads to the diffusion of new consumption behaviors. Thereby, the resulting Engel curves’ shape depends on the underlying learning dynamics. The approach contributes to an explanation of structural change and economic development.     

The susceptible circle: A taxonomy of followers associated with destructive leadership

While leadership scholars increasingly acknowledge the influence of followers in the leadership process, less attention has been paid to their role in the destructive leadership process. Specifically, the current debate lacks a broad-based understanding of different susceptible follower types that synthesizes related research across academic domains. Expanding on Padilla, Hogan, and Kaiser's (2007) toxic triangle model of destructive leadership, we integrate research and theory across various academic literatures to derive a cohesive taxonomy of vulnerable followers that we call the susceptible circle. We describe the core characteristics of each follower type, drawing on Barbuto's (2000) theory of follower compliance to highlight the psychological processes that motivate each follower to comply with destructive leaders. We then conclude by discussing theoretical and practical implications, as well as avenues for future research.     

Relational commitments in employee–supervisor dyads and employee job performance

We investigated employee commitment to the supervisor and supervisor commitment to the employee within employee–supervisor dyads. We examined the relationships among four commitment mindsets (affective, normative, continuance-sacrifices, and continuance-alternatives) across members of the dyads and their relationships to employee job performance. Using a sample of 300 employee–supervisor dyads from health care organizations, HLM analyses revealed that supervisor positive commitments (i.e., affective, normative, continuance-sacrifices) generally related significantly to employee positive commitments. Moreover, supervisor commitment moderated the relationship of employee affective commitment to job performance, such that when supervisor affective, normative, and continuance-sacrifices commitments were high, the relationship between employee affective commitment and performance was weaker. We discuss the implications of these findings for the understanding of employee–supervisor relationships.     

Venture capital and risk perception

This study extends the current state of research on venture capital (VC) determinants by introducing a behavioral perspective. We focus on individuals’ risk perception and connect it to Hofstede’s cultural dimensions of individualism and uncertainty avoidance. Individualism is related to overoptimism and uncertainty avoidance is related to overcaution, and hence affect the perception of risk. In a cross-country empirical analysis with 49 countries, we find that individualism is positively associated with VC activity, whereas uncertainty avoidance is negatively associated with VC activity. Our results are robust to controlling for other determinants as well as using other proxies of VC activity, other time periods, and subsamples of countries.     

Shape analysis for automated sulcal classification and parcellation of MRI data

We describe geometric invariants that characterize the shape of curves and surfaces in 3D space: curvature, Gauss integrals and moments. We apply these invariants to neuroimaging data to determine if they have application for automatically classifying and parcellating cortical data. The curves of sulci and gyri on the cortical surface can be obtained by reconstructing cortical surface representations of the human brain from magnetic resonance imaging (MRI) data. We reconstructed gray matter surfaces for 15 subjects, traced 10 sulcal curves on each surface and computed geometric invariants for each curve. These geometric features were used classify the curves into sulcal and hemispheric classes. The best classification results were obtained when moment-based features were computed on the sulcal curves in native space. Gauss integral measures showed that they were useful for differentiating the hemispheric location of a single sulcus. These promising results may indicate that moment invariants are useful for characterizing shape on a global scale. Gauss integral invariants are potentially useful measures for characterizing cortical shape on a local, rather than global scale. Gauss integrals have found biological significance in characterizing proteins so it is worthwhile to consider their possible application to neuroscientific data.