2018
DOI: 10.1108/k-03-2017-0102
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System dynamics and agent-based modelling to represent intangible process assets characterization

Abstract: Purpose This paper aims to address the use of modelling and simulation tools to enhance intangible process assets management by simulating and automating their characterization depending on their quality and impact on an organizational business goal. Design/methodology/approach The authors conducted a study comparing two simulation-based approaches to characterize intangible assets: system dynamics and agent-based simulation. Findings Strategic business studies have not yet considered the use of simulation… Show more

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Cited by 3 publications
(4 citation statements)
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“…For example, some scholars use the system dynamics method to study the in uence of di erent Internet application environments on knowledge transfer between enterprises from the perspectives of Internet tools, Internet platforms, and Internet resources [24]. Some scholars use system dynamics and agent-based modeling to represent intangible process asset characterization [25]. In the digital media asset management ecosystem, under the background of a convergence media environment, the impact of digital media content between di erent media organizations to e ectively manage, and the values of many factors, the relationship between these factors is more complex.…”
Section: Model Suitability Analysismentioning
confidence: 99%
“…For example, some scholars use the system dynamics method to study the in uence of di erent Internet application environments on knowledge transfer between enterprises from the perspectives of Internet tools, Internet platforms, and Internet resources [24]. Some scholars use system dynamics and agent-based modeling to represent intangible process asset characterization [25]. In the digital media asset management ecosystem, under the background of a convergence media environment, the impact of digital media content between di erent media organizations to e ectively manage, and the values of many factors, the relationship between these factors is more complex.…”
Section: Model Suitability Analysismentioning
confidence: 99%
“…Yet, there is a very limited spectrum of EM approaches concerning integrating and understanding the intangibles in organizational settings. Even though some examples of the intangibles' incorporation into the EM languages can be found in, e.g., iStar [62], through a combination of the knowledge management (KM) and EM disciplines [15], [24], [29], [30], and simulation techniques to characterize the intangible assets [14], most of the recent research is dominated by measuring the impact of intangibles on the business performance using the mathematical models [10]- [12], [17], [39], [40]. Thus, there is no obvious solution to how to incorporate the intangibles into the business analysis within the existing EM models, e.g., within their hierarchy, components, composition, origin, possession, how they are used and interwoven into the tangible settings, etc.…”
Section: Deploying Femmentioning
confidence: 99%
“…For instance, the existing theories define intangibles as operant resources, such as tacit knowledge, competencies, capabilities, culture, and relationships [2], [3], [31]. Also, some researchers may consider organizational policies and models as intangibles, consequently, addressing the intangibles' modeling in relation to, potentially, tangible assets (see, e.g., [14]). Moreover, the scarcely existing research also tends to segregate the intangibles categories focusing independently on, e.g., Research and Development (R&D) and learning, human and social capital, technological and informational capital, etc.…”
Section: Deploying Femmentioning
confidence: 99%
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