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.     

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.     

Constructing the New Economy: A Discursive Perspective

The rise and fall of the 'New Economy' at the turn of the millennium, most visibly evidenced by the stellar rise and subsequent collapse of the Nasdaq composite index of technology stocks, represents one of the most significant business phenomena in recent times. This paper examines the 'New Economy' phenomenon as a culturally embedded discourse through an analysis of 133 print advertisements collected from the UK edition of the Financial Times between February and December 2000. It investigates the social construction of the concept 'New Economy' in a rapidly changing business environment. The contribution of the paper lies in the empirical study of discursive phenomena in late capitalist societies. From a discursive perspective, the 'New Economy' can be seen as a signifier that points to itself, whose form is its very content. The paper suggests the 'New Economy' must be understood in terms of its ability to accommodate multiple meanings, and it is this very ability which is profoundly ideological, in that it allows essentially socio-historical obsessions and anxieties (e.g. about novelty and change) to appear as seemingly 'natural' or logical behaviour.     

PSS business model conceptualization and application*

The discussion about business models has gained considerable attention in the last decade. Business model frameworks have been developed in the literature as management methods helping companies to comprehend and analyse their current business logic and guide the deployment of new strategies. In response to calls for a deeper understanding of the application of a business model approach to product-service systems (PSS), this study develops a two-level hierarchical framework that (i) includes a set of components with pertinent, second-order variables to take into account when undergoing the shift from products to solutions; (ii) supports industrial companies, especially SMEs, in designing their future business model and in consistently planning the actions needed to implement it. The framework was applied and refined within real-life settings. The application to KINE – a robot solutions supplier – shows how key challenges faced by servitization firms may be thoroughly addressed through the adoption of a business model perspective.     

Supervisor commitment to employees: Does agreement among supervisors' and employees' perceptions matter?

Using 322 matched employee–supervisor dyads, we investigate how level and direction of employee–supervisor (dis)agreement on supervisor's affective commitment to the employee relate to organizational commitment, emotional exhaustion, leader–member exchange, and job performance. Results from polynomial regression and response surface analyses indicate that level of employee–supervisor agreement matters: the most beneficial outcomes appear when supervisors and employees agree that the supervisor is highly committed to the employee whereas the least favorable outcomes appear when dyads' members agree that the supervisor has low commitment to the employee. Direction of employee–supervisor disagreement is also important as employee overestimation of supervisor commitment is associated with more favorable outcomes than employee underestimation. However, for two of the outcomes (organizational commitment and emotional exhaustion), the effect of employee–supervisor disagreement was attributable to a main effect of employee perceptions of supervisor commitment. We discuss the implications of these findings for the understanding of employee–supervisor relationships.     

The U.S. Forest Service and Its Responsibilities under the National Environmental Policy Act: A Work Design Problem

The U.S. Forest Service’s responsibilities under the National Environmental Policy Act entail a wide range of activities including scoping, scientific analysis, social and economic analysis, managing public input and involvement, media relations, regulatory analysis, and litigation. These myriad duties raise several important organizational and management questions. First, is the U.S. Forest Service capable of discharging these widely varying tasks with high levels of effectiveness and efficiency? To what extent should these activities be outsourced to private contractors or other providers? For those responsibilities retained in-house, what organizational structure best supports their effective and efficient execution? To address these questions, this article draws on concepts from new institutional economics and insights from the privatization and strategic organizational design literatures.     

Entrepreneurial Marketing in Online-Netzwerken

A growing number of professionals use online social networks (e.g., Xing or LinkedIn) for business reasons by specifically promoting themselves. Especially executives and entrepreneurs use business social networks as a marketing tool in order to manage their business contacts and, thus, positioning themselves as a brand. Using on Keller’s (1993) customer-based brand equity model, we focus on the special behavior of entrepreneurs in such social networks. Based on the a large data set from a leading social network, we empirically analyze whether entrepreneurs act differently than other users and whether this strategy pays off. Based on a SUR model, we determine what the drivers for entrepreneurs’ profile views and contacts are. The results show that entrepreneurs focus on communicating their intentions and competencies and engage actively in the community. Especially participating in user groups and attending community events are key drivers for success.     

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.