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The implications and influence of different cognitive map structures on decision-making, reasoning, predictions about future events, affect, and behavior remain poorly understood. To-date, we have not had the mechanisms to determine whether any measure of cognitive map structure picks up anything more than would be detected on a purely random basis. We report a Monte Carlo method of simulation used to empirically estimate parameterized probability outcomes as a means to better understand the behavior of cognitive map. Using worked examples, we demonstrate how the results of our simulation permit the use of exact statistics which can be applied by hand to an individual map or groups of maps, providing maximum utility for the collective and cumulative process of theory building and testing.

Effective organisational learning is critical in today’s turbulent business conditions, and for this to occur, an organisation requires an effective means of storing and transferring knowledge and learning between individuals and the organisation as a whole. Reviews two large disparate streams of research, concerning the concepts of mental models and cognitive maps, each of which has been posited as a potential mechanism for the storage and transfer of knowledge within an organisation. Confusion exists between the application of the two terms in studies of organisation, and both concepts suffer from a lack of clarity in their definition. Identifies major similarities and differences, and potential synergies that exist between mental models and cognitive maps, outlines their heuristic value, and identifies how they can be used together to further our understanding of organisational learning.

The purpose of this paper is to examine the role of cognitive diversity on strategic issue interpretation among the boards of directors making sense of sustainability management. The study also investigated the centrality of the corporate sustainability issues to identify common interpretative patterns in the shared cognitive maps among the companies. In addition, the aim was to advance quantitative methods for the analysis of decision-makers’ cognition.

The research was an exploratory study analyzing 43 individual cognitive maps collected through surveys from the boards of nine cleantech companies. For the elicitation of the cognitive maps, the study used the hybrid cognitive mapping technique. The diversity of the shared cognitive maps was analyzed using the distance ratio formula and the graph analysis method with eigenvector to measure the centrality of the strategic issue interpretation in the maps.

This study provides evidence through the analysis of distance ratios on the existence of cognitive diversity among companies within the same industry. Surprisingly, despite the cognitive diversity, the study identified strong common patterns on strategic issue interpretations among the companies. In addition, the study shows that the sustainability management issues have gained minor attention from the boards of directors.

The initial industry sample provided relatively restricted perspectives on managerial cognition, and to confirm the findings regarding the effects of industry on the shared cognitive maps of top decision-makers, wider industry-level data are needed.

This study provides an approach to facilitate the process of strategic decision-making for top decision-makers by identifying the shared beliefs of the selected strategic theme and to concentrate on the most central strategic issues in the company and industry. It reveals asymmetry between the significance of sustainability issues in an open agenda and the real position of sustainability concepts in the shared cognitive maps in the green industry. Also, the study advances cognitive mapping techniques for application in the board’s decision-making.

This paper contributes to brightening the black box of corporate governance by shedding light on the interaction of the concepts of corporate sustainability and other key strategic issues within the shared cognitive maps of the boards. It also provides new empirical knowledge on top decision-making processes and the effects of cognitive diversity on the strategic issue interpretations within the corporate boards of the green industry, and it further develops the methodology for the quantification of cognitive diversity and the content of cognitive maps.

The purpose of this paper is to identify the appropriate method, demonstrating with a prototype model, of how knowledge in reliability management can be elicited from individuals as well as a team.

The approach is to elicit the tacit knowledge of the reliability engineers through narratives and cognitive mapping. With a sufficient number of cognitive maps, patterns are revealed and an aggregate cognitive map for all participating members is produced, which helps to summarize various approaches and procedures that can be taken in handling different reliability management issues.

The work provides a real‐life example to support the stages of learning from the individual, the group to the organizational level as described in the theoretical Learning Framework.

Many knowledge management programs failed for various reasons. One common pitfall is that they are either too ambitious or too vague in the scope, methodology of their deliverables. To be successful, the project objectives should be linked to the business needs that lead to solving their business problems.

A prototype is developed in the organization of expertise knowledge in a bottom‐up manner in the building of a corporate memory from individuals to team level in the reliability management in an airline company.

This is the first study in the airline industry to capture the know‐how and experience of its reliability engineers in the form of congregate cognitive maps so as to facilitate team learning and the building of organizational memory. It is the first in the airline industry to adopt this methodology for developing its own procedure manuals. The model was implemented successfully in the Engineering Division of an airline business in order to handle their reliability management issues.

This chapter aims to enhance understanding of the main drivers of internal auditors' moral courage to speak up about sensitive information and their cause-and-effect relationships. We use cognitive mapping method to analyze 20 chief audit executives' cognitive maps in Tunisia. A collective map was grounded through assembling the full individual maps. Using the Decision Explorer software for our analysis, we find that the state hope, whistle-blowing policy, self-efficacy, perceived supervisor support and independence of internal audit function are the main drivers for internal auditors' moral courage. Our findings are also supplemented by semi-structured interviews. Our chapter offers a novel methodological contribution to auditing literature as well as new empirical evidence (contribution to knowledge) on the drivers of internal auditors' moral courage.

Research has highlighted the cognitive nature of the business model intended as a cognitive representation describing a business’ value creation and value capture activities. Although the content of the business model has been extensively investigated from this perspective, less attention has been paid to the business model’s causal structure – that is the pattern of cause-effect relations that, in top managers’ or entrepreneurs’ understandings, link value creation and value capture activities. Building on the strategic cognition literature, this paper argues that conceptualizing and analysing business models as cognitive maps can shed light on four important properties of a business model’s causal structure: the levels of complexity, focus and clustering that characterize the causal structure and the mechanisms underlying the causal links featured in that structure. I use examples of business models drawn from the literature as illustrations to describe these four properties. Finally, I discuss the value of a cognitive mapping approach for augmenting extant theories and practices of business model design.

The purpose of this article is to analyse the use of a qualitative approach using cognitive mapping techniques in the study of a decision‐making process. This study takes place in a public sector and in the context of a performance appraisal system (PAS). This is in line with recommendations by scholars and researchers to conduct a management research in a public service context (see Brown, 1999; Bissessar, 2000; Jabroun and Balakrishnan, 2000; O’Donnell and O’Brien, 2000; Redman, Snape and Thompson, 2000). This article also intends to elucidate and justify the methodological approach used, examine the assumptions underlying the use of a particular research design, and provide arguments for the preference of the methodology used. It is hoped that this will contribute to the understanding of the nature and validity of the research undertaken. This article begins by reviewing the theoretical issues of the research framework, the main features of the qualitative methodologies, and finally, the research method applied in this research is determined and justified.

Cognitive maps are used in group decision processes to structure problems. The problem structuring methods helps decision makers to improve the comprehension of the problem, identifying alternative actions and conflicts. However, represents the individual perceptions in a representative group decision into a single structure can be a complex task. The paper aims to discuss these issues.

The objective of this paper is to improve the process of discussion, obtaining the interests and views of the participants and provide parameters to assist the analyst to guide the process. Furthermore, it is possible to analyze how participants are aligned or diverge from the group. The literature review presents some approaches for cognitive maps analysis, but there is a lack of structured methods to analyze them. This paper proposes a structure procedure for the aggregation of cognitive maps in three parts: workshop to generate individual maps, the aggregation of individual maps and the refinement of the global map.

An example illustrates the application of the proposed method and shows the construction of a global map that summarizes the concepts that participants consider important.

This paper presents a new procedure that allows reducing the bias of the analyst in the aggregation of individual cognitive maps maintaining the relevant information and allows decision makers know and approve the aggregation procedure.

This paper aims to investigate the influence of map design characteristics on users’ cognitive load and search performance. Two design conditions (symbolic vs non-symbolic) were used to evaluate users’ ability to locate a place of interest.

A total of 19 students (10 male and 9 female, 20-23 years old) participated in this study. The time required for subjects to find a place in the two conditions was used to estimate their searching performance. An electroencephalogram (EEG) device was used to examine students’ cognitive load using event-related desynchronization percentages of alpha, beta and theta brain wave rhythms.

The results showed that subjects needed more time to find a place in the non-symbolic condition than the symbolic condition. The EEG data, however, revealed that users experienced higher cognitive load when searching for a place in the symbolic condition. The authors found that the design characteristics of the map significantly influenced users’ brain activity, thus impacting their search performance.

Outcomes from this study can be used by cartographic designers and scholars to understand how certain design characteristics can trigger cognitive activity to improve users' searching experience and efficiency.

The concept of smart city has recently become more topical in academic and policy discussions. This idea is considered a complex, non-consensual subject since its definition has not yet been agreed upon by most authors in the relevant fields. The need to identify and measure smart city indicators has also given rise to many different evaluation procedures. However, the available frameworks have yet to overcome challenges in structuring and measuring all the evaluation parameters of the cities in question. Thus, methods still need to be developed and applied that can structure criteria used to assess smart city success.

This study sought to show cognitive mapping's tangible usefulness as an expedient tool for strategic analysis, using smart cities as a complex object of study. To this end, various cognitive maps were constructed and compared using the Strategic Options Development and Analysis (SODA) approach.

Cognitive mapping's advantages and limitations in the strategic visualization research context are analyzed and discussed.

The authors know of no prior work reporting comparative analysis of this methodological approach in the same research context.