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A large body of research has analyzed individual psychological characteristics as antecedents of strategic decision-making. However, this research has mainly focused on trait-based characteristics that explain impaired strategic decision outcomes. Recently, PsyCap has been proposed as an alternative driver of strategic decision outcomes that, in contrast to other drivers, can be influenced by management.

Drawing on research on psychological capital (PsyCap), a psychological construct conceptualized as a state-like individual strength that is malleable, the authors argue that PsyCap exerts an inverted curvilinear effect on strategic decision outcomes. The authors use a computerized strategic decision simulation involving 102 managers to empirically test our hypotheses.

The authors show that PsyCap improves strategic decision outcomes up to an inflection point, after which it negatively affects those outcomes. The authors also show that this effect is mediated by heuristic information processing.

For the empirical study the authors relied on a sample of 102 practicing managers from the financial services industry in Germany.

PsyCap has been shown to be malleable through, for instance, micro-interventions and dedicated web-based trainings. Therefore, depending on managers' PsyCap levels, either further increases in PsyCap or a regulation of this characteristic might be appropriate in order to optimize strategic decision outcomes.

As a state-like individual strength that is malleable, PsyCap might serve as a management characteristic that is particularly important in challenging situations such as the COVID-19 pandemic.

This paper contributes to research on strategic decision making by introducing PsyCap as an important antecedent of strategic decision outcomes that – in contrast to other individual characteristics – is state-like and, hence, malleable.

This paper aims to show how a sociological description – a swarm analysis of the Nazi dictatorship – initially made with the means borrowed from George Spencer-Brown’s Calculus of Indications, can be transformed into a digital circuit and with which methods and tools of digital mathematics this digital circuit can be analyzed and described in its behavior. Thus, the paper also aims to contribute to a better understanding of Chapter 11 of “Laws of Form.”

The analysis uses methods of automata theory for finite, deterministic automata. Basic set operations of digital mathematics and special set operations of the Boolean Differential Calculus are used to calculate digital circuits. The software used is based on ternary logic, in which the binary Boolean logic of the elements {0, 1} is extended by the third element “Don’t care” to {0, 1, −}.

The paper confirms the method of transforming a form into a digital circuit derived from the comparative functional and structural analysis of the Modulator from Chapter 11 of “Laws of Form” and defines general rules for this transformation. It is shown how the indeterminacy of re-entrant forms can be resolved in the medium of time using the methods of automata theory. On this basis, a refined definition of the degree of a form is presented.

The paper shows the potential of interdisciplinary approaches between sociology and information technology and provides methods and tools of digital mathematics such as ternary logic, Boolean Differential Calculus and automata theory for application in sociology.