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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 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.

To explore the relationship between managers' cognitive maps and their performance as managers at the same level in the same organisation.Design/methodology/approach – Field study involving 30 branch managers in a financial services organisation operating in New Zealand. A nomthetic approach was used to develop their cognitive maps. Features of these maps were then related to business‐unit performance.Findings – The managers who were higher performing have maps that were considerably simpler, using fewer concepts and fewer linkages.Research limitations/implications/future research – While limited to one organisation and to one level of management, there is evidence that cognition is related to managers' performance. Future research should explore how cognitive structures differ between managerial levels, and how these are related to appropriate measures of performance.Originality/value – One of few studies that have sought to map managers' cognition and organisation performance.

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.

The purpose of this paper is to explain and develop a classification of cognitive structures (or typologies of thought), previously designated as spoke, chain and network thinking by Kinchin et al.

The paper shows how concept mapping can be used to reveal these conceptual typologies and endeavours to place the concept‐mapping method in the broader context of learning styles and learning theory.

The findings suggest that spoke structures are indicative of a naïve epistemology, or of “learning‐readiness”; chain structures are indicators of “goal‐orientation” and networks are indicators of expertise. Furthermore, change that comprises simple elaboration of existing spokes or chains is likely to be the result of surface learning styles and the emergence of networks indicative of deep learning. The utility of these different cognitive approaches is discussed.

The work is limited by the general lack of empirical testing, but the approach is presented as an important source of hypotheses for future research.

The practical implications of the research are considerable. First, concept mapping provides a framework for documenting and assessing understanding at “novice” and “expert” levels. Second, where definitive criteria can be developed from the learning styles literature, cognitive change in the course of learning can be evaluated to distinguish between deep versus surface or holist versus serialist approaches, for example.

The papers original and comprises a synthetic approach to the study of learning style and learning theory through the use of the concept‐mapping method. It has both practical and theoretical value because it suggests a new approach and is an important source of testable hypotheses.

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.

This article explores raters' understanding on the decision‐making process in the public service performance appraisal system (PAS) by looking at the cognitive processing models (CPM) steps involved. Presents the results of semi‐structured cognitive mapping interviews undertaken with novice raters in the Malaysia public service (MPS) context. Interviews were conducted using cognitive mapping protocol. The resultant causal cognitive maps explored findings from CPM applied in appraisal decision making. Explains the performance appraisal process and theoretical framework for the CPM. From the research findings, it is clear that raters recognised the CPM steps in their performance appraisal practice. The study also identifies individual differences in novice raters' CPM in terms of concepts and complexity. The findings are used to validate the CPM concepts suggested in related literature. Finally, the study discusses the implications of CPM in a broader context of performance appraisal decision‐making process.

This exploratory study, a Ph.D. dissertation completed at the University of Western Ontario in 2013, examines the materially embedded relations of power between library users and staff in public libraries and how building design regulates spatial behavior according to organizational objectives. It considers three public library buildings as organization spaces (Dale & Burrell, 2008) and determines the extent to which their spatial organizations reproduce the relations of power between the library and its public that originated with the modern public library building type ca. 1900. Adopting a multicase study design, I conducted site visits to three, purposefully selected public library buildings of similar size but various ages. Site visits included: blueprint analysis; organizational document analysis; in-depth, semi-structured interviews with library users and library staff; cognitive mapping exercises; observations; and photography.

Despite newer approaches to designing public library buildings, the use of newer information technologies, and the emergence of newer paradigms of library service delivery (e.g., the user-centered model), findings strongly suggest that the library as an organization still relies on many of the same socio-spatial models of control as it did one century ago when public library design first became standardized. The three public libraries examined show spatial organizations that were designed primarily with the librarian, library materials, and library operations in mind far more than the library user or the user’s many needs. This not only calls into question the public library’s progressiveness over the last century but also hints at its ability to survive in the new century.

The purpose of this article is to propose an approach using mixed methods appropriate for studying polysemic concepts.

Anchored in cognitive approaches, the methods relied on a generally applicable conceptual framework, on cognitive mapping for an intellectualized conception, and on in‐depth interviews for an experiential conception on different participants’ judgments of managerial courage within the same context.

The mixed methods approach allowed the study first, to uncover two kinds of managerial courage. Second, while the intellectualized conceptions led to the enumeration of a greater number of positive consequences for third parties, the conceptions resulting from recollections of experiences focused more on the consequences for the protagonist. Third, the conceptual framework allowed the authors to distinguish between the results obtained from the two distinct data collection methods: the moral dimension, present in the more intellectualized cognitive maps, was largely absent from the consequences identified by participants in the conception of managerial courage resulting from experience.

This approach has provided two original methodological contributions. The first is the development of a widely applicable conceptual framework useful for studying polysemic concepts and for treating data generated by both approaches. The second is the distinction between conceptions of courage obtained from cognitive maps and those obtained through semi‐structured, in‐depth interviews, highlighting the complementarity of the chosen methods.

The developing academic field of machine ethics seeks to make artificial agents safer as they become more pervasive throughout society. In contrast to computer ethics, machine ethics is concerned with the behavior of machines toward human users and other machines. This study aims to use an action-based ethical theory founded on the combinational aspects of deontological and teleological theories of ethics in the construction of an artificial moral agent (AMA).

The decision results derived by the AMA are acquired via fuzzy logic interpretation of the relative values of the steady-state simulations of the corresponding rule-based fuzzy cognitive map (RBFCM).

Through the use of RBFCMs, the following paper illustrates the possibility of incorporating ethical components into machines, where latent semantic analysis (LSA) and RBFCMs can be used to model dynamic and complex situations, and to provide abilities in acquiring causal knowledge.

This approach is especially appropriate for data-poor and uncertain situations common in ethics. Nonetheless, to ensure that a machine with an ethical component can function autonomously in the world, research in artificial intelligence will need to further investigate the representation and determination of ethical principles, the incorporation of these ethical principles into a system’s decision procedure, ethical decision-making with incomplete and uncertain knowledge, the explanation for decisions made using ethical principles and the evaluation of systems that act based upon ethical principles.

To date, the conducted research has contributed to a theoretical foundation for machine ethics through exploration of the rationale and the feasibility of adding an ethical dimension to machines. Further, the constructed AMA illustrates the possibility of utilizing an action-based ethical theory that provides guidance in ethical decision-making according to the precepts of its respective duties. The use of LSA illustrates their powerful capabilities in understanding text and their potential application as information retrieval systems in AMAs. The use of cognitive maps provides an approach and a decision procedure for resolving conflicts between different duties.

This paper suggests that cognitive maps could be used in AMAs as tools for meta-analysis, where comparisons regarding multiple ethical principles and duties can be examined and considered. With cognitive mapping, complex and abstract variables that cannot easily be measured but are important to decision-making can be modeled. This approach is especially appropriate for data-poor and uncertain situations common in ethics.