A Cognitive Mapping Approach to Business Models: Representing Causal Structures and Mechanisms

Furnari, Santi

doi:10.1108/s0742-332220150000033025

Cited by 70 publications

(71 citation statements)

References 55 publications

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“…BMfS, business modeling for sustainability; DBMfS, dynamic business modeling for sustainability [Colour figure can be viewed at wileyonlinelibrary.com] study strategy is particularly valuable to address theory-building research and to demonstrate that the existing research does not properly address the investigated propositions (Eisenhardt & Graebner, 2007). In this context, the case study research technique is likely to limit potential bias and enrich the analysis, offering useful insights on how to frame BMfS elements within a systemic structure (Furnari, 2015).…”

Section: Methodsmentioning

confidence: 99%

Dynamic business modeling for sustainability: Exploring a system dynamics perspective to develop sustainable business models

2019

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In the last decade, business models for sustainability have gained increasing attraction by corporate sustainability scholars with international conferences and scientific journals encouraging the development of the debate on their design, use and innovation processes. Capitalizing on the basic principles, requirements, and methodological limitations found in the literature on sustainability-oriented business model design, this paper aims to conceptualize a dynamic business modeling for sustainability approach, which combines an adapted sustainable business model canvas and system dynamics modeling. To this end, the paper also illustrates the key operating principles of the proposed approach through an exemplary application to Patagonia's business model. Findings suggest that dynamic business modeling for sustainability may contribute to sustainable business model research and practice by introducing a systemic design tool, which frames environmental, social, and economic drivers of value generation into a dynamic business model causal feedback structure, thus overcoming methodological gaps of the extant business model design tools. KEYWORDSbusiness model design, business models for sustainability, dynamic business modeling, sustainability, system dynamics modeling

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Section: Methodsmentioning

confidence: 99%

Dynamic business modeling for sustainability: Exploring a system dynamics perspective to develop sustainable business models

2019

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“…These actions and their real consequences are the source of experience and guide the subsequent identification of new combinations (Holland et al 1986;Levitt and March 1988) in a trial-and-error fashion (Mezger 2014;Sosna et al 2010). For cognitive search, managers instead rely on mental representations to identify new business models and assess their attractiveness according to established performance dimensions (Aspara et al 2011;Casadesus-Masanell and Ricart 2010;Doz and Kosonen 2010;Furnari 2015;Martins et al 2015;Porac et al 1989). These representations are conceptual structures held by individuals that contain a simplified understanding of their environmental reality (Lakoff 1987).…”

Section: Business Model Innovationmentioning

confidence: 99%

System dynamics for corporate business model innovation

Moellers

Burg²,

Bansemir

et al. 2019

Electron Markets

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Business model innovation is a process that allows firms to build and maintain competitive advantages. However, it imposes major challenges to managers who rely on incomplete cognitive representations while attempting to understand the environmental dynamics that determine a business model's prospective performance. System Dynamics is a computational approach potentially useful in enhancing managerial understanding and decision-making during business model innovation, yet its effects lack sound empirical evidence. This study of five cases inside BMW assesses the usefulness of System Dynamics along the different phases of business model innovation processes. In order to develop a nuanced understanding we triangulate insights from the multiple-case study approach with results from a Q-Sort exercise. Our emergent theory highlights that System Dynamics enables managers to develop more accurate cognitive representations about their business models. Unexpectedly, we find that this process leads to a cognition gap apparent in the communication with managers not involved in the modelling process. We observe two strategies to overcome this gap. A second key insight is that System Dynamics has a tendency to consolidate mental models by different managers that need to be managed cautiously. We develop a set of 11 propositions that represents the core of our theoretical insights.

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“…An interesting use of the CM's capabilities to represent dynamic information is the modeling of cause-effect (causal) relationships. Thus, the work [19] identifies the cognitive nature of a business model designated for a cognitive representation that describes business development activities. Attention is also drawn to the causeeffect structure of the business model, that is, the model of cause-effect relationships which, according to top managers or entrepreneurs' view, connects the creation of value and activities for its creation.…”

Section: Related Workmentioning

confidence: 99%

Computational Model for the Construction of Cognitive Maps

Ismailova¹,

Kosikov²,

Wolfengagen³

2020

Cognitive and Intermedial Semiotics

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The chapter considers an option for solving the problem of storing data in the Web environment and providing an access to the data, taking into account their semantics, i.e., in accordance with the nature of the tasks solved by users of different classes. The proposed solution is based on the use of presentation of the data in the form of semantic networks. As the main technical tool for describing access methods, the chapter proposes cognitive maps (CMs), which can also be considered as semantic networks of special type. When access is done, the presentation of information consistent with the semantic description of the user is provided. The suggested method of constructing CMs is based on the intensional logic. The solution is presented in the form of a computational model, which provides for the construction of CM's dependence on the parameter. The proposed method of parametrization makes it possible to take into account the semantic characteristics of users of various classes. Some CM constructions for problem domain description are presented. A method for semantically oriented naming of CMs is proposed. The method is based on building of a functor of special type.The semantic measurement of data structures leads to the necessity to change respectively the methods of their description, searching in the environment of such structures and manipulating them [2].The need to use semantically rich network structures requires to develop semantically oriented methods for describing data structures and their processing, in particular, the definition of semantically oriented search methods [3]. Different users must work with different fragments of data, which are determined by the goals of their work, the source data that is necessary to achieve the goals, a set of appropriate access rights, etc. All this raises the problem of providing access to data, which should take into account both the class of the user, getting the access, and its characteristics, as well as the semantics of the data, to which the access is allowed, in particular, providing a user-friendly representation of the data.The means of describing users and the means of their access to data, considering the specifics of the tasks to be solved, must combine power enough to distinguish the relevant elements of the description and simplicity. It makes it possible to practically use the descriptions without cumbersome instrumental kits. The means of description should fix the user's view on the subject area, which should be sufficiently detailed to describe the classes of problems to be solved, but without redundant detailing that might lead to an increase in the volume and complexity of the description. The use of cognitive maps (CMs) seems promising in this aspect.Cognitive maps are diagrams used to visually organize information. Various works define the cognitive maps in various ways. For example, CM's can be used to represent spatial relations and determine the mutual position of information elements in a physical environment. CMs also can be used to re...

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A Cognitive Mapping Approach to Business Models: Representing Causal Structures and Mechanisms

Cited by 70 publications

References 55 publications

Dynamic business modeling for sustainability: Exploring a system dynamics perspective to develop sustainable business models

Dynamic business modeling for sustainability: Exploring a system dynamics perspective to develop sustainable business models

System dynamics for corporate business model innovation

Computational Model for the Construction of Cognitive Maps

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