A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory

Nan, Ning; Zmud, Robert W.; Yetgin, Emre

doi:10.1007/s10588-013-9159-9

Cited by 43 publications

(28 citation statements)

References 99 publications

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“…Mathematical modeling is particularly suitable for this type of knowledge diffusion research because of its ability to provide the ability to investigate a dynamic phenomenon whose outcomes are nonobvious, and not predetermined (Kiesling et al, 2012;Nan et al, 2014). Another advantage is that mathematical modeling, minimizes context-and population-specific biases, allowing for more generalizable conclusions.…”

Section: Research Objectivesmentioning

confidence: 99%

A framework and model for absorptive capacity in a dynamic multi-firm environment

D′Souza

Kulkarni

2015

International Journal of Production Economics

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Section: Research Objectivesmentioning

confidence: 99%

A framework and model for absorptive capacity in a dynamic multi-firm environment

D′Souza

Kulkarni

2015

International Journal of Production Economics

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“…Appreciating this, Geels [22] Multi Level Perspective (MLP) theory refers to three levels: technological niches, socio-technical regimes and exogenous socio-technical landscape, that should align for innovation breakthroughs to occur. Nan et al [23] expand on the specific attributes and characteristics that support innovation diffusion in complex adaptive systems, providing a framework for analysis of the case-study projects investigated in this paper.…”

Section: Innovation In Complex Adaptive Systemsmentioning

confidence: 99%

“…At the level of the technological niche or innovation, they highlight three key attributes that can influence adoption: (1) relative advantage, or the additional potential value available via the innovation; (2) network externalities, the external influences and context in which the innovation exists, including the extent to which innovation value increases as more members of the population adopt it; and (3) arduousness, the effort required by adopters in order to implement and gain value from the innovation [23]. Regarding the socio-technological regime, they offer the AMC framework on diffusion of innovations, where A is 'Awareness', M 'Motivation', and C 'Capability'-three key factors for success in innovation diffusion.…”

Section: Innovation In Complex Adaptive Systemsmentioning

confidence: 99%

Findings of Case-Study Analysis: System-Level Biomimicry in Built-Environment Design

2019

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Complex systems challenges like those facing 21st-century humanity, require system-level solutions that avoid siloed or unnecessarily narrow responses. System-level biomimicry aims to identify and adopt design approaches that have been developed and refined within ecosystems over 3.8 billion years of evolution. While not new, system-level biomimetic solutions have been less widely applied in urban design than the ‘form’ and ‘process’ level counterparts. This paper explores insights from a selection of system-level case studies in the built environment, using meta-analysis to investigate common challenges and priorities from these projects to support knowledge-sharing and continued development in the field. Using a grounded research approach, common themes are distilled, and findings presented regarding success and barriers to implementation and scaling. Considering the findings, and drawing on complex adaptive systems theory, the paper posits opportunities to facilitate broader implementation and mainstreaming of system-level biomimetic design approaches in the built environment.

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“…Em um sistema adaptativo, "agentes representam as unidades básicas do processo da tomada de decisão" [13] (p. 55). Um modelo baseado em agentes utiliza uma abstração bottom up, baseada em agentes com funções simples.…”

Section: Modelo De Tt Baseado Em Agentesunclassified

“…No caso de modelos para TT, essas características são interessantes para a construção de um mapa das conexões lógicas em nível micro e macro [13]. Porém, na revisão da literatura, os elementos de abstração pouco são explorados em conjunto, desconsiderando os mecanismos de competição e cooperação associados ao ecossistema em que os atores interagem.…”

Section: Modelo De Tt Baseado Em Agentesunclassified

Um Modelo Baseado Em Agentes Para Transferência De Tecnologia

Reis¹,

Vaccaro²

2016

Anais Do XVIII Simpósio De Pesquisa Operacional &Amp; Logística Da Marinha

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ResumoTransferência de Tecnologia (TT) é o negócio resultante da interação entre agentes que concordam em trocar posse, conhecimento e valor, beneficiando-se desta troca. De modo amplo, esses agentes estão organizados em quatro classes: empresa, centro tecnológico, universidade e governo. Em tal contexto, as negociações sofrem influência de fatores como: número de fornecedores de uma dada tecnologia, o conhecimento disponível em uma tecnologia específica, e a relação custo versus ganho esperado na operação. Assim, diferentes comportamentos emergem, competitivos e cooperativos, dependendo da relação desses fatores. Consequentemente, entender os mecanismos que inibem ou estimulam relações de TT pode oferecer suporte para a definição mais precisa de políticas setoriais e governamentais de estímulo a esse tipo de negociação. Uma abordagem para capturar e investigar esse tipo de fenômeno é a Modelagem e Simulação baseada em Agentes. Este artigo investiga a aplicação de um modelo baseado em agentes para extrair relações no contexto de TT, analisando ações para aumentar o número de negociações firmadas. O modelo considera dois tipos de agentes: empresa e universidade. Os resultados indicam a influência complexa do ambiente sobre a dinâmica das relações de TT. Palavras-Chaves:Agentes; Simulação; Transferência de Tecnologia; Abstract Technology Transfer (TT) is the business resulting from the interaction between agents who agree to exchange ownership, knowledge and value, benefiting from this exchange. In generally, these agents are organized into four classes: firm, technology center, university and government. In this context, negotiations are influenced by factors such as number of a given technology suppliers, the knowledge available on a specific technology, and cost versus expected gain in the operation. Thus, different behaviors emerge, competitive and cooperative, depending on the relationship of these factors. Consequently, understanding the mechanisms that inhibit or stimulate TT relations can support a more precise definition of sectorial and government policies to stimulate this kind of negotiation. One approach to capture and investigate this kind of phenomenon is the agents-based modeling and simulation. This article investigates the use of an agent-based model based for extracting relations in the context of TT, analyzing actions to increase the number of signed negotiations. The model considers two types of agents: company and university. The results indicate the complex influence of the environment on the dynamics of relations TT.

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A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory

Cited by 43 publications

References 99 publications

A framework and model for absorptive capacity in a dynamic multi-firm environment

A framework and model for absorptive capacity in a dynamic multi-firm environment

Findings of Case-Study Analysis: System-Level Biomimicry in Built-Environment Design

Um Modelo Baseado Em Agentes Para Transferência De Tecnologia

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