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This chapter focuses on individuals’ mental representations of complex decision problems in transportation. An overview of approaches and techniques in this recent area of research is given as well as an illustration. The illustration concerns an application of CNET (causal network elicitation technique) to measure mental representations in a shopping activity scheduling task. The presence of an online shopping alternative is varied to investigate the influence of an online alternative on how individuals represent the choice problem.

Mental-model and means-ends-chain theories are discussed. These theories state that individuals when faced with a decision problem construct a mental representation of the choice alternatives by activating relevant parts of their broader causal knowledge that allow them to evaluate consequences regarding their existing needs. Furthermore, these theories emphasise that situational and person dependence of this process can explain observed variability in preferences of travellers.

The results indicate that considerable variation exists between individuals in terms of both the complexity, and the attributes and benefits that are activated in the mental representation of the choice problem. Presence of an online alternative has an influence on the benefits that individuals consider important. The impact is however small.

The chapter provides an overview of recent developments in the study of mental representations underlying choice behaviour. Traditionally, this has been the exclusive domain of qualitative research methods. The techniques reviewed enable larger samples and a formal representation of mental representations. Thus, the approach can help to better understand preference heterogeneity and incorporate this in (transport) choice models.

Concepts equip the mind with thought, provide our theories with ideas, and assign variables for testing our hypotheses. Much of contemporary research deals with narrowly circumscribed concepts, termed simple concepts herein, which are the grist for much empirical inquiry in the field. In contrast to simple concepts, which exhibit a kind of unity, complex concepts are structures of simple concepts, and in certain instances unveil meaning going beyond simple concepts or their aggregation. When expressed in hylomorphic structures, complex concepts achieve unique ontological status and serve particular explanatory capabilities. We develop the philosophical foundation for hylomorphic structures and show how they are rooted in dispositions, dispositional causality, and various mind–body trade-offs. Examples are provided for this emerging perspective on “Big concepts” or “Big Ideas.”

We investigate the mental representation of environmental risks with special emphasis on global change. We propose a multi-level framework of the causal structure of global risks with five causally connected levels: attitudes, activities, emissions, environmental changes and negative consequences for humans. We contrast two approaches in the literature on the mental representation of risks, mental models and psychometric dimensions. Both approaches are viewed from the multi-level framework perspective. We argue that the mental representation corresponds to the multi-level framework and present several empirical studies which support this assumption. Finally, we discuss the relationship between the mental representation of environmental risks and environmental behavior.

This qualitative study investigated how small group communication influences the development of shared mental models in a committee of public librarians addressing a problem-solving task. It examines the influence of communication themes, functions, roles, and rules on the group's development of shared mental models about the task and about team interaction. Data were collected over the course of a year from group meetings, email messages, group documents, and participant interviews and then analyzed using existing coding schemes and qualitative coding techniques. The findings indicate that within the group there was a strong superficial convergence around the task mental model and the team interaction mental model but a weaker convergence at a deeper level. Analysis of the group communication data shows that the group focused discussion on understanding the problem and identifying tasks, enacting group roles and rules that facilitated sharing information. The functions of their messages focused on task communication. The findings suggest that, in this group, communication themes most heavily influenced the development of a shared mental model about the task, while communication roles, rules, and functions were more influential toward the development of a shared mental model about team interaction. Implications for practice include adopting intentional tactics for surfacing mental models at various points in the group life and anchoring the emerging model within the collective cognition of the group through devices such as narratives, objects, or documentary materials.

To explain the origin of novel strategies I elaborate the managerial judgment perspective as an alternative to the serendipity and managerial foresight views on the origin of novel strategies proposed in the earlier literature. The managerial judgment perspective closely integrates resource-based theories and theories of managerial cognition. It builds centrally on the construct of “management’s theory of success” as a representation of managers’ beliefs and expectations concerning the factors that lead to desired outcomes in the light of Knightean uncertainty and that is formed through learning from small samples over time. The managerial judgment perspective may be seen as a theory that explains the formation of strategies independently from their eventual performance, but may also shed light on the cognitive antecedents of superior performance. It also argues for a conception of strategic agency in terms of ecological rationality.

Mental model convergence occurs as team members interact. By collecting information and observing behaviors through their interactions, team members’ individual mental models evolve into shared mental models. This process requires a cognitive shift in an individual's focal level. Specifically, the individual assigned to the team must shift his or her focus from thinking about the team domain using an individual perspective to thinking about it from a team perspective. Thus, mental model convergence may be the key to understanding how individuals are transformed into team members. This chapter presents a framework describing the mental model convergence process that draws on the extant research on group development and information processing. It also examines temporal aspects of mental model convergence, the role of mental model contents on the convergence process, and the relationship between converged mental models and team functioning. Preliminary evidence supporting the framework and the important role that converged mental models play in high-performing teams is provided. The chapter concludes with a discussion of the implications of this mental model convergence framework for research and practice.