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This chapter’s focus is comparative causal mapping (CCM) methods in MOC research. For a background, the chapter discusses first the conceptual (cognitive theoretic) basis in typical CCM studies and its implications for understanding the target phenomena and for CCM methods. Next, it presents the CMAP3 software and describes its operating logic and main functions. Third, the chapter describes how to use CMAP3 in three prototypical cases of CCM, each characterized by different research objectives, kinds of data, and methods of data acquisition but also by potential dilemmas. The chapter concludes by speculating about the future directions of causal mapping and suggesting some ideas for developing in particular large-N CCM methods.

The purpose of this study is to illustrate the use of the ad hoc methodology of causal mapping to support the process of quantifying the financial returns related to sustainability investments. The present study uses two methods to build causal maps, that is aggregate and congregate mapping, in order to capture managerial cognition and derive a model that reflects companies’ competitive advantages. The resulting causal map is a prerequisite and serves as a building block for the design of the organisation’s performance management systems for sustainability.

This study relies on qualitative, deductive research undertaken at the leading international pharmaceutical company Novo Nordisk. This chapter presents the results of a longitudinal study developed through an action research approach conducted at the Company over a four-year period.

This study illustrates how the described approach for developing causal maps can facilitate the elicitation of managerial tacit knowledge and the consequent identification of indicators to quantify the investments in sustainability.

This chapter proves the relevance of causal mapping as a comprehensive, articulated basis for developing and improving organisations’ strategic performance measurement systems (SPMSs).

This study’s main contribution is the triangulation of multiple qualitative methods to enhance the reliability of causal maps. This innovative approach supports the use of causal mapping to extract managerial tacit knowledge in order to identify indicators for the evaluation of investments in sustainability.

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.

This chapter applies Axelrod’s (1976) and Huff’s (Huff, A. S. (1990). Mapping strategic thought. In A. S. Huff (Ed.), Mapping strategic thought (pp. 88–115). Chichester: Wiley; Jenkins & Huff, 2002) approach to mapping strategic thought (causal mapping) to (1) categorize how manufacturers of new fast moving consumer goods (FMCGs) may respond to environmental feedback to their decisions and (2) assess the effectiveness of alternative implemented decisions in assisting organizational growth. The manufacturing of new FMCGs requires timely product modifications in the assumptions of entrepreneur thinking in response to environmental responses/non-responses to decisions/actions of the manufacturing enterprise. A detailed example of causal mapping analysis is presented 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. The chapter closes by suggesting that causal mapping analysis is a valuable tool for advancing theory construction from case study research. The chapter provides a research plan for future reports applying causal mapping in retailing entrepreneur studies.

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.

Our primary objective is to provide method-related broad guidelines to researchers on the entire spectrum of issues involved in cause mapping and to encourage researchers to use causal mapping techniques in strategy research. We challenge strategists to open the black box and investigate the mental models that depict the cause and effect beliefs of managers, “walk” readers through the causal mapping process by discussing the “nuts and bolts” of cause mapping, provide an illustration, and outline “key issues to consider.” We conclude with a discussion of some promising research directions.

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.

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 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.