scholarly journals A modular multi-agent framework for innovation diffusion in changing business environments: conceptualization, formalization and implementation

2020 ◽  
Author(s):  
Simon Johanning ◽  
Fabian Scheller ◽  
Daniel Abitz ◽  
Claudius Wehner ◽  
Thomas Bruckner
Keyword(s):  
Innovation Diffusion ◽  
Decision Support Tool ◽  
Agent Based Models ◽  
Implementation Framework ◽  
Support Tool ◽  
Agent Based ◽  
Business Environments ◽  
Formal Framework ◽  
Common Framework ◽  
Model Components

Abstract Understanding how innovations are accepted in a dynamic and complex market environment is a crucial factor for competitive advantage. To understand the relevant factors for this diffusion and to predict success, empirically grounded agent-based models have become increasingly popular in recent years. Despite the popularity of these innovation diffusion models, no common framework that integrates their diversity exists. This article presents a flexible, modular and extensible common description and implementation framework that allows to depict the large variety of model components found in existing models. The framework aims to provide a theoretically grounded description and implementation framework for empirically grounded agent-based models of innovation diffusion. It identifies 30 component requirements to conceptualize an integrated formal framework description. Based on this formal description, a java-based implementation allowing for flexible configuration of existing and future models of innovation diffusion is developed. As a variable decision support tool in decision-making processes on the adoption of innovations the framework is valuable for the investigation of a range of research questions on innovation diffusion, business model evaluation and infrastructure transformation.

scholarly journals A modular multi-agent framework for innovation diffusion in changing business environments: conceptualization, formalization and implementation

2020 ◽  
Author(s):  
Simon Johanning ◽  
Fabian Scheller ◽  
Daniel Abitz ◽  
Claudius Wehner ◽  
Thomas Bruckner
Keyword(s):  
Innovation Diffusion ◽  
Decision Support Tool ◽  
Agent Based Models ◽  
Implementation Framework ◽  
Support Tool ◽  
Agent Based ◽  
Business Environments ◽  
Formal Framework ◽  
Common Framework ◽  
Model Components

Abstract Understanding how innovations are accepted in a dynamic and complex market environment is a crucial factor for competitive advantage. To understand the relevant factors for this diffusion and to predict success, empirically grounded agent-based models have become increasingly popular in recent years. Despite the popularity of these innovation diffusion models, no common framework that integrates their diversity exists. This article presents a flexible, modular and extensible common description and implementation framework that allows to depict the large variety of model components found in existing models. The framework aims to provide a theoretically grounded description and implementation framework for empirically grounded agent-based models of innovation diffusion. It identifies 30 component requirements to conceptualize an integrated formal framework description. Based on this formal description, a java-based implementation allowing for flexible configuration of existing and future models of innovation diffusion is developed. As a variable decision support tool in decision-making processes on the adoption of innovations the framework is valuable for the investigation of a range of research questions on innovation diffusion, business model evaluation and infrastructure transformation.

scholarly journals A modular multi-agent framework for innovation diffusion in changing business environments: conceptualization, formalization and implementation

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Simon Johanning ◽  
Fabian Scheller ◽  
Daniel Abitz ◽  
Claudius Wehner ◽  
Thomas Bruckner
Keyword(s):  
Innovation Diffusion ◽  
Decision Support Tool ◽  
Agent Based Models ◽  
Implementation Framework ◽  
Support Tool ◽  
Agent Based ◽  
Business Environments ◽  
Formal Framework ◽  
Common Framework ◽  
Model Components

Abstract Understanding how innovations are accepted in a dynamic and complex market environment is a crucial factor for competitive advantage. To understand the relevant factors for this diffusion and to predict success, empirically grounded agent-based models have become increasingly popular in recent years. Despite the popularity of these innovation diffusion models, no common framework that integrates their diversity exists. This article presents a flexible, modular and extensible common description and implementation framework that allows to depict the large variety of model components found in existing models. The framework aims to provide a theoretically grounded description and implementation framework for empirically grounded agent-based models of innovation diffusion. It identifies 30 component requirements to conceptualize an integrated formal framework description. Based on this formal description, a java-based implementation allowing for flexible configuration of existing and future models of innovation diffusion is developed. As a variable decision support tool in decision-making processes on the adoption of innovations the framework is valuable for the investigation of a range of research questions on innovation diffusion, business model evaluation and infrastructure transformation.

scholarly journals The agent-based modelling as a decision support tool for brownfield redevelopment

2020 ◽  
Vol 18 (1) ◽  
pp. 65-75
Author(s):  
Tanja Mitrovic ◽  
Milica Vracaric
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Sustainable Urban Development ◽  
Brownfield Redevelopment ◽  
Support Tool ◽  
Agent Based ◽  
Agent Based Modelling ◽  
History Of ◽  
Development Plans

In recent history of urban studies there is a focus on sustainable urban development and long-term strategies. Dealing with brownfield redevelopment is of vital importance for the prosperous practice of urban planning. The current decisionmaking methods for brownfield redevelopment are mainly used for evaluating on-site situation, but not for future development plans. The purpose of this paper is to consider potential uses of agent-based modelling (ABM) in brownfield redevelopment decision support practice. In these models, agents are assigned with certain rules of behaviour that define their mutual interactions and allow simulations in a previously defined spatial framework. These collective behaviours influence the spatial patterns through interactions of individuals, which is reflected in the fact that the actions of the agents do not simply sum to the activity of the whole. This tool provides us with opportunity of observing possible scenarios of future brownfield development and making adequate decisions and strategies accordingly.

scholarly journals USING ASSOCIATIVE NETWORKS TO REPRESENT ADOPTERS' BELIEFS IN A MULTIAGENT MODEL OF INNOVATION DIFFUSION

2008 ◽  
Vol 11 (02) ◽  
pp. 261-272 ◽  
Author(s):  
SAMUEL THIRIOT ◽  
JEAN-DANIEL KANT
Keyword(s):  
Innovation Diffusion ◽  
Diffusion Of Innovations ◽  
Social Representations ◽  
Real Data ◽  
Diffusion Models ◽  
Product Launch ◽  
Agent Based Models ◽  
Associative Networks ◽  
Agent Based ◽  
The Social

A lot of agent-based models were built to study diffusion of innovations. In most of these models, beliefs of individuals about the innovation were not represented at all, or in a highly simplified way. In this paper, we argue that representing beliefs could help to tackle problematics identified for diffusion of innovations, like misunderstanding of information, which can lead to diffusion failure, or diffusion of linked inventions. We propose a formalization of beliefs and messages as associative networks. This representation allows one to study the social representations of innovations and to validate diffusion models against real data. It could also make models usable to analyze diffusion prior to the product launch. Our approach is illustrated by a simulation of iPod™ diffusion.

Modeling and simulation of customer dissatisfaction in waiting lines and its effects

SIMULATION ◽  
2016 ◽  
Vol 93 (2) ◽  
pp. 91-101 ◽  
Author(s):  
Jorge A Alvarado-Valencia ◽  
Gabriela C Tueti Silva ◽  
Jairo R Montoya-Torres
Keyword(s):  
Simulation Analysis ◽  
Discrete Event ◽  
Decision Support Tool ◽  
Business Decisions ◽  
Support Tool ◽  
Agent Based ◽  
Proposed Model ◽  
Customer Dissatisfaction ◽  
Parameter Values ◽  
Waiting Lines

A combination of discrete-event and agent-based simulation analysis using a field-tested psychological model for evaluating the effects of customer dissatisfaction in waiting lines beyond balking and reneging was developed. The proposed model assessed the effects that different psychological parameter values and business decisions in waiting lines have on the evaluation of waiting and, therefore, in customer satisfaction and mid-term profit. This model hence becomes a decision-support tool for businesses wanting to model their costs of customer dissatisfaction due to waiting lines in repetitive and competitive environments.

scholarly journals CP-driven Production Process Planning in Multiproject Environment

2008 ◽  
Vol 2 (2) ◽  
pp. 5-32 ◽  
Author(s):  
Zbigniew Banaszak ◽  
Grzegorz Bocewicz ◽  
Irena Bach
Keyword(s):  
Decision Support ◽  
Production Process ◽  
Process Planning ◽  
Reference Model ◽  
Decision Support Tool ◽  
Context Modeling ◽  
Support Tool ◽  
Knowledge Based ◽  
Formal Framework ◽  
Production Orders

The way enterprise capabilities are used decides about its competitiveness among other ones. In that context modeling aimed at production tasks allocation planning plays a crucial role especially at concurrently executed production orders. The introduced reference model employing constraint programming (CP) paradigm describes both an enterprise and a set of project-like production orders. Moreover, encompassing consumer orders requirements and available production capabilities, the model provides the formal framework allowing one to develop a class of decision support systems aimed at interactive production process planning subject to multiproject environment constraints. In that context our contribution is a knowledge-based and CP-driven approach to resource allocation assuming precise character of decision variables. The conditions sufficient for deadlock avoidance are the main goal. The conditions delivered provide formal framework for developing a task oriented Decision Support Tool for Project Portfolio Prototyping (DST4P, Banaszak 2006). The tool provides a prompt and interactive service to a set of routine queries formulated either in straight or reverse way.

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