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The paper's first objective is to develop a new conceptual framework for categorizing and designing cognitive, specifically comparative, causal mapping (CCM) research by building upon the theory‐centred and participant‐centred perspectives. The second purpose is to enable the discerned study prototypes by introducing a new CCM software application, CMAP3.

Building upon the distinction between theory‐centred (etic) and participant‐centred (emic) perspectives in social research, we first construct and apply a conceptual framework for analysing and categorising extant CCM studies in terms of their objectives and basic design. Next, after noting the important role and basic tasks in computerising causal mapping studies, we present a new CCM software application.

The theory‐centred/participant‐centred perspectives define four causal mapping study prototypes, each with different goals, basic designs and methodological requirements. Noting the present lack of widely accessible software for qualitatively oriented CCM studies, we introduce CMAP3, a new non‐commercial Windows application, and summarise how it is used in related research.

The framework and the studies representing the prototypes demonstrate the versatility of CCM methods and that the proposed framework offers a new, systematic approach to categorising and designing CCM studies. Research technically, CMAP3 can support the defined CCM‐prototypes, based on a low‐structured (inductive/qualitative) or a structured (nomothetic/quantitative) methodological approach/stance, and having therefore different needs of data acquisition, processing, coding, aggregation/comparison, and analysis of the emerging aggregated cause maps’ contents or structure.

The purpose of this paper is to study how the design of a strategy map can be supported by measures expressing the customers’ perceptions about strategic factors and their related determinants. In particular, managers are provided with a fact-based test useful to revise prior knowledge and beliefs.

A case study is used to describe the adoption of the partial least squares path modelling (PLS-PM) approach to structural equation modelling in order to compare competing strategy maps and select the one that best fits customer perceptions. A focus group was organised to design the strategy maps, which were tested through a survey of 600 randomly selected resellers.

The empirical-based validation of a causal map by using PLS-PM may effectively stimulate a revision of managers’ collective perceptions about a phenomenon characterised by implicit knowledge, as in the case of customer needs.

The case-study company operates in a business-to-business environment, and thus only the needs of direct customers have been included in the analysis. Final users’ needs should also be considered, even if different solutions are required for data collection.

The proposed approach provides a set of indicators which allow managers to identify strategic priorities, thus facilitating decision making and strategic planning.

In the strategic management literature, few attempts have been made to operationalise the complex and multidimensional latent constructs of a strategy map combining managers’ implicit knowledge and empirical validation in a “holistic” manner. The adoption of PLS-PM is relatively new in testing the accuracy of causal maps.

The purpose of this paper is to describe how to go about interpreting causal maps and provides an introduction to the literature of causal mapping.

The paper includes two international causal maps showing the favorable antecedent conditions of Germans towards visiting Britain and the negative antecedent conditions of Brits towards visiting Germany. The paper provides training exercise questions with a solution in interpreting causal maps.

The training helps make implicit, automatic, thinking explicit and provides clues for the marketing strategist of actions necessary to changing long‐term negative implicit associations that potential visitors retrieve regarding tourism destinations.

This report does not include the results of applying the exercise in executive training programs. Does completing the exercise help improve decision making?

Executives need to experience specific training exercises to improve decision‐making skills. Obvious solutions usually only become so only following experiencing the process of making decisions; such training exercises as the one this paper presents builds on this premise.

This paper breaks new ground in participative learning by executives to improve their skills by solving real‐life tourism marketing problems.

The purpose of this paper is twofold: first, using the case of Finnish small business advisors (SBAs), it aims to clarify a controversy in entrepreneurship policy about using public funds to foster solo and micro entrepreneurship. The study reveals the SBAs’ belief systems to facilitate policy-relevant conclusions about their advisory competence, counseling tendencies and probable impact on nascent entrepreneurs and macro consequences like firm displacement. Second, methodologically, the study’s cognitive perspective and method enable researchers to assess the approach and its potential.

The SBAs’ (n=15) belief systems were elicited by interview-based causal mapping. They are summarized using aggregated causal maps and analyzed to understand the SBAs’ dominant mindset and to draw conditional inferences about their professional competence and impacts.

The SBAs have convergent belief systems about the causes and consequences of micro entrepreneurship. They are generally competent to detect and foster viable solo and small micro firms. From a policy viewpoint, however, they ignore indirect effects like firm replication and appear risk aversive, less inclined to promote their clients’ growth intentions and plans.

For entrepreneurship policy makers, the study clarifies a controversial issue. It finds clear grounds for public funding of SBA type services, but this may depend on policy goals and local conditions. For the SBAs, the study suggests proactive, income-generating services for improved financing and legitimacy. For entrepreneurship researchers, it demonstrates the potential and limits of the cognitive approach and causal mapping.

Several well‐known managerial accounting performance measurement models rely on causal assumptions. Whilst users of the models express satisfaction and link them with improved organizational performance, academic research, of the real‐world applications, shows few reliable statistical associations. This paper seeks to provide a discussion on the “problematic” of causality in a performance measurement setting.

This is a conceptual study based on an analysis and synthesis of the literature from managerial accounting, organizational theory, strategic management and social scientific causal modelling.

The analysis indicates that dynamic, complex and uncertain environments may challenge any reliance upon valid causal models. Due to cognitive limitations and judgmental biases, managers may fail to trace correct cause‐and‐effect understanding of the value creation in their organizations. However, even lacking this validity, causal models can support strategic learning and perform as organizational guides if they are able to mobilize managerial action.

Future research should highlight the characteristics necessary for elaboration of convincing and appealing causal models and the social process of their construction.

Managers of organizations using causal models should be clear on the purposes of their particular models and their limitations. In particular, difficulties are observed in specifying detailed cause and effect relations and their potential for communicating and directing attention. They should therefore construct their models to suit the particular purpose envisaged.

This paper provides an interdisciplinary and holistic view on the issue of causality in managerial accounting models.

This paper aims to propose a method to assist organisations to develop their causal models, as well as to understand them, and to propose systems thinking as a method to achieve these objectives.

The paper starts with a review of the literature related to the concerns existing with respect to strategy maps and the interrelationships between measures. Then it explains the benefits of systems thinking and causal loop diagrams. Finally, the paper presents the results obtained from a group of 32 students who took a course in strategic control systems and used systems thinking to design a performance measurement system for their businesses.

The number of concepts included in students' causal loop diagrams averages 16, which are in line with the number of measures suggested in the Balanced Scorecard literature, but only 48 per cent of concepts were related to the four perspectives suggested in the Balanced Scorecard methodology. Few students acknowledged the existence of time delays in the interrelationships.

While the sample is statistically significant, it represents the results of one course.

The use of systems thinking and causal loops diagrams simplifies the design of a Balanced Scorecard and improves the alignment of the organisation with the performance measurement system.

While scholars have criticised the interrelationships between measures in the Balanced Scorecard, few have suggested solutions to this issue. The paper presents the application of a well‐known tool to improve the processes of designing and understanding the interrelationships between measures in the Balanced Scorecard.

The purpose of this paper is to explore a very new approach of creating scenarios with fuzzy cognitive maps (FCM); specifically to create scenarios for wind energy deployment.

In this paper a small exercise is conducted to illustrate the usefulness of FCM‐based scenarios.

Scenario‐based planning is often used in technology management and scenarios are generated to cater for uncertainty and facilitate development of responsive and robust strategic plans. Scenario analysis helps to identify different alternatives of the future state of technologies, needs, policies and environment. Scenario planning helps to overcome thinking limitations by presenting multiple futures. FCMs are based on causal cognitive maps and combine the benefits of both qualitative and quantitative analysis. Domain knowledge of multiple experts can be integrated into an FCM to present collective knowledge base.

This is a conceptual paper exploring use of fuzzy cognitive maps to create scenarios for wind energy deployment. The paper provides scenarios and a way to integrate them into technology roadmaps.

The traditional front‐end‐of‐innovation (FEI) research and requirements engineering (RE) in software development have realized the opportunities for overall innovation process improvements by focusing on improving the front‐end activities. The purpose of this paper is to investigate and compare the managerial perceptions on the similarities and differences in the FEI concepts between software industry and the traditional industrial sector.

The research approach of this paper can be categorized as a case study. Causal cognitive maps are used as graphic tools for collecting and analyzing the perceptions of selected experts about the concepts of FEI, and for recognizing the perceived interrelationships between these concepts.

The paper presents the similarities and differences in the FEI concepts between the two industries. The most similarly assessed concept is that the quality of a product or software development project can be most often influenced by successful execution of detailed customer needs analysis.

The selection of a purely academic interview group representing the traditional industrial sector has some limitations.

This paper provides viewpoints to managers and project team members on the most important factors in their front‐end activities influencing the success of product or software development projects.

The intersection between FEI and RE and its handling by causal cognitive mapping is a novel territory in academic research. In addition, this paper opens up a new strand for academic discussion by connecting these two domains previously unconnected in literature.

Aims to map business‐to‐business strategic actions to illustrate how manufacturers and resellers of new fast moving consumer goods interact when responding to environmental feedback to their decisions and to assess the effectiveness of alternative implemented decisions in assisting organizational growth.

This report presents a detailed example of causal mapping analysis for a manufacturing entrepreneurial case study; the example covers processes linking events, decisions, and activities in business start‐up, growth, and failure of the enterprise.

For the case study illustrating the mapping approach, between the start‐up to the demise stages a shift does occur in the number of decision areas judged very good to very bad; for example, product design decisions shift from very good to remarkably good to very bad among the three stages. Pricing strategy was judged very bad consistently across the three stages.

For research on entrepreneur behavior, additional work on inter‐coder reliability is needed to confirm the consistency of both creating concepts and coding linkages in such maps. Detailed causal maps are needed in large samples of entrepreneur case studies to test the propositions. The application presented here is exploratory only. Causal mapping analysis represents a tool useful in case study research and theory construction from such case study data and such analysis deserves wider use among researchers desiring to open up research in decision making.

What really is happening and why? To help in answering, mapping thought‐decisions‐outcome dynamics over several stages of new product innovation and diffusion occurring among manufacturers and resellers provides an explicit sensemaking approach for executives.

The major part of studies in the field of strategic cognition focussed on strategy content, while process studies are comparatively rare. Those of the studies that are dedicated to explain strategy occurrence are dominantly restricted to formal decision making. In contrast to this, the purpose of this paper is to draw on a framework that helps to get a differentiated picture on contingent processes, strategies may pass through in organizations. Furthermore, an own elicitation procedure is introduced that enables to measure strategic cognition on different levels.

The paper provides an empirical approach by applying collective causal mapping techniques, both on an individual as well as collective level. The conceptual framework of the study rests on the “genesis” concept of strategy formation introduced by Kirsch and colleagues.

The main contribution of the paper is the presentation of a methodical approach to study the formation of shared strategic orientations in small companies. An operationalization to study these cognitive processes, based on collective causal mapping techniques is provided.

Applying the methodical approach presented in the paper is expected to make a contribution to the understanding of the shared knowledge of organizational members about major strengths and weaknesses of a new strategic reorientation and to contribute to practical concerns of organizational members in specific problematic situations, especially in small companies.

The study empirically approaches the complex phenomenon on strategy formation in small companies and therefore expands the understanding of shared cognition in organizations.