Perspectives to management language games and social interaction in self-managing organizations

This essay identifies a theoretically interesting area, i.e. language and social interaction in self-managing organizations. By building upon earlier work in Wittgensteinian language games, we show that despite some existing research on management language games (inside and outside pragmatic constructivism), not much is known about language games in self-managing organizations. The essay brings together ideas concerning language games in general management and pragmatic constructivism, making a novel contribution in the area. Furthermore, we present an ethnomethodological perspective on analysing language and social interaction: conversation analysis (CA). We suggest that CA could be utilized to analyse social interaction within self-managing organizations in more detail, showing how the specific institutional characteristics of this type of organization are talked into being in this particular context. Several further research questions are proposed for future studies in management language games and language and social interaction.

Communicating design knowledge to support technology management in the manufacturing industry:

The aim of this paper is to the advance pragmatic constructivist understanding about communication in the productdevelopment context. In particular, the paper provides new understanding about how proactive truth about designknowledge can be constructed and communicated within product development actors. The paper shows how companyrepresentatives in the manufacturing environment, e.g., managers and engineers can together understand the customervalue-creation mechanisms of a specific product and integrate their expert knowledge into visual form. Building thecollective understanding requires communication between these actors. Ultimately, the actors may be able to construct auseful proactive truth about related business potentials and thereby support technology management in the productdevelopment context.

Human vs machine intelligence:

To be able to predict the impact of artificial intelligence (AI) on the required human competences of the future, it is firstand foremost necessary to get an overview of what AI at all is and how it differs from human intelligence. The main goalof this paper is to provide such an overview to readers who are not experts in the area. The focus of the paper is on thesimilarities and differences between human and machine intelligence, since understanding that is of essential importanceto be able to predict which human tasks and jobs are likely to be automatised by AI - and what consequences it will have.