Copenhagen Business School

About: Copenhagen Business School is a education organization based out in Copenhagen, Hovedstaden, Denmark. It is known for research contribution in the topics: Corporate governance & Context (language use). The organization has 2194 authors who have published 9649 publications receiving 341898 citations.

Towards visual analytics for teachers' dynamic diagnostic pedagogical decision-making

Abstract: The focus of this paper is to delineate and discuss design considerations for supporting teachers' dynamic diagnostic decision-making in classrooms of the 21st century. Based on the Next Generation Teaching Education and Learning for Life (NEXT-TELL) European Commission integrated project, we envision classrooms of the 21st century to (a) incorporate 1:1 computing, (b) provide computational as well as methodological support for teachers to design, deploy and assess learning activities and (c) immerse students in rich, personalized and varied learning activities in information ecologies resulting in high-performance, high-density, high-bandwidth, and data-rich classrooms. In contrast to existing research in educational data mining and learning analytics, our vision is to employ visual analytics techniques and tools to support teachers dynamic diagnostic pedagogical decision-making in real-time and in actual classrooms. The primary benefits of our vision is that learning analytics becomes an integral part of the teaching profession so that teachers can provide timely, meaningful, and actionable formative assessments to on-going learning activities in-situ. Integrating emerging developments in visual analytics and the established methodological approach of design-based research (DBR) in the learning sciences, we introduce a new method called "Teaching Analytics" and explore a triadic model of teaching analytics (TMTA). TMTA adapts and extends the Pair Analytics method in visual analytics which in turn was inspired by the pair programming model of the extreme programming paradigm. Our preliminary vision of TMTA consists of a collocated collaborative triad of a Teaching Expert (TE), a Visual Analytics Expert (VAE), and a Design-Based Research Expert (DBRE) analyzing, interpreting and acting upon real-time data being generated by students' learning activities by using a range of visual analytics tools. We propose an implementation of TMTA using open learner models (OLM) and conclude with an outline of future work

Understanding Event-based Business Networks:

Abstract: This article deals with the temporality in business networks. Marketing as networks approach stresses interaction processes and interdependence among actors noting that business markets are mainly socially constructed. The approach has increased our understanding of business marketing but further attention for theory development and empirical validation is needed. Theoretical foundations of the approach are conceptually analysed here, taking time and timing into particular consideration. A model of event networks is developed as an approach to understand temporality in business networks. The event network perspective is exemplified using practical cases. It is argued that extensions of network theory, methods and models can be approached using connected events as a base.

Why do top management teams look the way they do? A multilevel exploration of the antecedents of TMT heterogeneity

Abstract: While individual-level social psychological processes may promote top management team (TMT) homogeneity, a number of organizational and environmental factors pose requirements for increasing TMT heterogeneity. These opposing mechanisms lead to different predictions regarding the outcome of the TMT selection process. This article investigates the interactions between the different level factors influencing TMT heterogeneity in order to determine under what conditions pressures towards heterogeneity prevail over the tendency towards homosocial reproduction. Based on a panel dataset of 165 Swiss listed companies, the results of hierarchical linear model (HLM) analyses provide support for attraction—selection—attrition (ASA) and similarity— attraction tendencies. Newly appointed TMT members were more likely to be similar to the rest of the team when the prior degree of homogeneity in the TMT was high. However, this tendency was lower in firms with a high degree of internationalization or facing dynamic indust...

Preference heterogeneity in experiments: Comparing the field and laboratory ☆

Abstract: Do laboratory experiments provide a reliable basis for measuring field preferences? Economists recognize that preferences can differ across individuals, but only a few attempts have been made to elicit individual preferences for representative samples of a population in a particular geographical area, region or country. Our primary objective is to directly compare estimates of preferences elicited from a convenience sample and the estimates for the wider population from which that sample is drawn. We examine the strengths and weaknesses of laboratory and field experiments to detect differences in preferences over risk and time that are associated with standard, observable characteristics of the individual.