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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 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.

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 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.

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.

Faced with major new challenges in a rapidly evolving world market, small and medium‐sized enterprises (SMEs) in the wine sector in the Bordeaux region urgently need to reconsider their strategic options. This paper, through an analysis of the nature, role, and interaction of competencies in strategy‐making processes in the wine sector, aims to identify the main components of wine companies’ competencies in order to devise a tool to aid their strategic decision making.

The research methodology, which is based on a cognitive approach, employs critical incidences methodology, content analysis and causal mapping.

A competencies study founded on a series of interviews conducted with the personnel of six wine SMEs in the Bordeaux region reveals the importance of eight core competencies (production, labour, costs, quality, investment, market, competition, and clients/sales) in devising strategy. In addition, this paper demonstrates that core factors affecting the success of strategic development include: knowledge versus know‐how; investment, quality; labour difficulties, team issues, market positioning; customer relationship and trust. The implications of the practical implementation of these results are discussed.

Shows the future prospects for French wine companies not being taken for granted. On account of radical market changes the French wine sector needs to re‐evaluate the situation and investigate new strategic options that might permit it to regain a competitive advantage in a changing environment.

Studies of entrepreneurial intentions (EIs) have become increasingly common, informed usually by Ajzen’s (1991) theory of planned behaviour (TPB). Although the TPB postulates that beliefs determine EIs, the contents of the beliefs have not been properly studied, leaving EIs’ cognitive underpinnings and cognitive approaches to influencing EIs unclear. To clarify the TPB/EI-belief nexus, the study examines the conceptual background of entrepreneurial cognitions and elicits the beliefs of a group of nascent micro entrepreneurs (NMEs) to compare them with their TPB attitudes and EIs, facilitating assessing their mutual consistency as implied by the TBP.

The respondents are entrepreneurial novice clients of a micro business advisory organisation. Their TPB attitudes and EIs were measured using standard TPB/EI methods. Comparative causal mapping (CCM) combined with semi-structured interviewing was used to reveal the NMEs’ typical belief systems, presented as aggregated cause maps.

The NMEs have uniform, relatively detailed belief systems about entrepreneurship and micro business. The belief systems are consistent with theory- and context-based expectations and logically aligned with the NMEs’ expressed TPB attitudes and EIs. CCM provides an accessible method for studying contents of entrepreneurial cognitions.

It was not possible to study “entrepreneurship-negative” respondents or the intensity or origins of some specific beliefs.

Diagnosing and better understanding beliefs can benefit entrepreneurship education and development, in general or connected with TPB/EI studies.

The study reveals entrepreneurial belief systems systematically, evidently not done before generally or in terms of “everyday” micro entrepreneurship or TPB. It clarifies and supports the TPB notion that beliefs underpin actors’ attitudes and intentions.

This study investigates simulated business learning and performance effectiveness during a simulation task. The learning and performance outcomes of two groups of postgraduate student participants are investigated namely: (a) participants who do not struggle with the task and (b) participants who do struggle with completing the task.

An experiment was conducted using a simulated business, which was manipulated into two initial commencement formats: positive initial format (PIF) and negative initial format (NIF). Individual performance on the task was measured via achievement of performance targets whilst individual learning was measured via causal cognitive maps.

Participants using PIF did not struggle with completing the task and achieved higher performance outcomes compared to participants using NIF, who struggled with completing the task. In addition, the positive association between learning and performance was significantly reduced for participants using NIF who struggled with completing the task

This study’s findings are tentative as the sample size is small and several moderator/mediator variables, which may influence the findings (i.e. student learning style/instructor style/cognitive factors), are outside the scope of the study and thus not included.

Causal cognitive mapping results and students’ self-assessment of learning during simulated business debriefing, may further help instructors/students identify the differences in individual learning outcomes between those who have and have not struggled with increasing simulated business performance.

By using an experiment and causal cognitive mapping to measure individual learning, this study contributes further empirical evidence to the literature.

Non-entrepreneurial passions may be the beginning of an extensive entrepreneurial journey. However, current passion theories cannot fully capture the essence of such passions and their effects. The purpose of this study is to explore and explain the real-life composition of passion and performance.

The investigation was conducted with comparative causal mapping (CCM) on a qualitative sample of people we designate rock “n” roll entrepreneurs (i.e. individuals driven by a passion for music and who are successful both artistically and economically). Aggregated causal maps of passion elicited through semi-structured interviews were analyzed and contrasted with performance indicators.

Passion is revealed to be an individual phenomenon, one composed of central and peripheral concepts that include—contrary to prior theories—personality traits and life contexts. Furthermore, the results suggest that the concordance of concepts determines the scope, degree and performance of passion.

This study complements prevailing passion theories in psychology and entrepreneurship. As a context-bound study, the generalizability of the results is limited to its context, which, however, paves a clear way for future research.

Creative economy entrepreneurs and educators can use the mechanism of concordance to consciously reflect passion-driven tensions between artistic, social and entrepreneurial demands and to translate passion into behavioral effectiveness.

This study is the first to use a CCM approach to investigate passion. Findings highlight the potential to research entrepreneurial phenomena at the intersection of emotion, cognition and action.