1,721,085 research outputs found
A cognitive semantics perspective on strategic management: tracing force dynamics in strategy classics
No full textThe cognitive semantics approach based in a reading of the semantics of a discourse and its roots in cognitive reasoning and behaviour is presented, and applied to specific managerial issues and decisions. The Force Dynamics framework is applied
When three’s a crowd: how relational structure and social history shape organizational codes in triads
Full text linkWhen members of an organization share communication codes, coordination across subunits is easier. But if groups interact separately, they will each develop a specialized code. This paper asks: Can organizations shape how people interact in order to create shared communication codes? What kinds of design interventions in communication structures and systems are useful? In laboratory experiments on triads composed of dyads that solve distributed coordination problems, we examine the effect of three factors: transparency of communication (versus privacy), role differentiation, and the subjects’ social history. We find that these factors impact the harmonization of dyadic codes into triadic codes, shaping the likelihood that groups develop group-level codes, converge on a single group-level code, and compress the group-level code into a single word. Groups with transparent communication develop more effective codes, while acyclic triads composed of strangers are more likely to use multiple dyadic codes, which are less efficient than group-level codes. Groups of strangers put into acyclic configurations appear to have more difficulty establishing “ground rules”—that is, the “behavioral common ground” necessary to navigate acyclic structures. These coordination problems are transient—groups of different structures end up with the same average communication performance if given sufficient time. However, lasting differences in the code that is generated remain
A simulation-based approach to business model design and organizational Change
Full text linkWhile several practice-based approaches of business model design suggest ways to create new business models, there is limited understanding of why and how business models change. This exploratory study employs neural network analysis to simulate business model design and business model change. We conceptualise business model design as a schema of the organisation’s critical resources, transactions, and value proposition. Elements of the schema are connected in a simple neural network. The network evolves based on a constraint satisfaction network until it converges to a stable state of a coherent business model. An in-depth case study of an entrepreneurial venture provides a real-world example to test the analytical framework. Using data from the case study, we run multiple simulations of business model design and business model change. The results suggest that business model change can be understood as a form of constraint satisfaction, linking managerial cognition with business model change. The simulation approach also helps identify possible, but unrealized business models. This novel approach paves the way for new research and practice in business model design and change
Playing the Wrong Game: An Experimental Analysis of Relational Complexity and Strategic Misrepresentation
Full text linkIt has been suggested that players often produce simplified and/or misspecified mental models of strategic decisions [Kreps, D., 1990. Game Theory and Economic Modeling. Oxford Univ. Press, Oxford]. We submit that the relational structure of players’ preferences in a game is a source of cognitive complexity, and may be an important driver of such simplifications. We provide a classification of order structures in two- person games based on the properties of monotonicity and projectivity, and present experiments in which subjects construct representations of games of different relational complexity and subsequently play the games according to these representations. Experimental results suggest that relational complexity matters. More complex games are harder to represent, and this difficulty seems correlated with short term memory capacity. In addition, most erroneous representations are simpler than the correct ones. Finally, subjects who misrepresent the games behave consistently with such representations, suggesting that in many strategic settings individuals may act optimally on the ground of simplified and mistaken premises
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