Analyzing Marketing Strategies in the Emerging Mobile Communications Market

As one of the typical emerging markets, China's 3rd generation (3G) mobile communications service is proliferating rapidly recently, and great potentialities are expected in the market. Thus the strategy to improve the share in the emerging 3G service market appears to be an important topic for the mobile communications operators. To study the topic, the authors apply an agent-based model to study the interactions among the individuals and the complex externalities in China's 3G mobile communications market, and analyze several strategies of the operators with computational simulation. Based on the analysis, the efficient strategies for each operator to improve the market share are proposed. Furthermore, the analysis also shows that how the efficiency of the strategies varies depending on the different market environments. Because the emerging markets share some common characteristics, the conclusions can also be applied in other emerging communications markets.

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Impacts of knowledge on online brand success: an agent-based model for online market share enhancement

European Journal of Operational Research ◽

10.1016/j.ejor.2015.07.051 ◽

2016 ◽

Vol 248 (3) ◽

pp. 1093-1103 ◽

Cited By ~ 16

Author(s):

Guoyin Jiang ◽

Pandu R. Tadikamalla ◽

Jennifer Shang ◽

Ling Zhao

Keyword(s):

Market Share ◽

Agent Based Model ◽

Agent Based

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An agent-based model of the interrelation between the COVID-19 outbreak and economic activities

Proceedings of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rspa.2020.0604 ◽

2021 ◽

Vol 477 (2245) ◽

pp. 20200604

Author(s):

Takeshi Kano ◽

Kotaro Yasui ◽

Taishi Mikami ◽

Munehiro Asally ◽

Akio Ishiguro

Keyword(s):

Computational Simulation ◽

Economic Losses ◽

Economic Damage ◽

Agent Based Model ◽

Economic Activities ◽

Trade Off ◽

Agent Based ◽

Human Contact ◽

Simulation Results ◽

Voluntary Restraint

As of July 2020, COVID-19 caused by SARS-COV-2 is spreading worldwide, causing severe economic damage. While minimizing human contact is effective in managing outbreaks, it causes severe economic losses. Strategies to solve this dilemma by considering the interrelation between the spread of the virus and economic activities are urgently needed to mitigate the health and economic damage. Here, we propose an abstract agent-based model of the COVID-19 outbreak that accounts for economic activities. The computational simulation of the model recapitulates the trade-off between the health and economic damage associated with voluntary restraint measures. Based on the simulation results, we discuss how the macroscopic dynamics of infection and economics emerge from individuals’ behaviours. We believe our model can serve as a platform for discussing solutions to the above-mentioned dilemma.

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Simulation-based analyses of an evacuation from a metropolis during a bombardment

SIMULATION ◽

10.1177/0037549714551291 ◽

2014 ◽

Vol 90 (11) ◽

pp. 1244-1267 ◽

Cited By ~ 15

Author(s):

Jang Won Bae ◽

SeHoon Lee ◽

Jeong Hee Hong ◽

Il-Chul Moon

Keyword(s):

Initial Conditions ◽

Real Data ◽

Agent Based Modeling ◽

Agent Based Model ◽

Target Region ◽

Agent Based ◽

Virtual Experiments ◽

The Road ◽

Simulation Based ◽

The Military

The bombardment of a metropolis is considered a nightmare scenario. To reduce losses from such an assault, big cities have developed evacuation policies in case of bombardment. However, to build efficient evacuation policies, much footing data is required that considers both military and civilian views. Agent-based modeling and simulation could be utilized as a method to obtain the footing data. In this paper, we develop an evacuation agent-based model that describes a massive evacuation through the road network of a metropolis during a bombardment. In particular, our model took account of bombing strategies (i.e. the military view) as well as the characteristics of roads and evacuation agents (i.e. the civilian view) in order to analyze evacuations from both military and civilian perspectives. Moreover, we applied real data from a target region to calibrate parameters and initial conditions of the evacuation agent-based models, which increased the reliability of simulation results. Using the evacuation agent-based model, we designed and performed virtual experiments with varying military and civilian factors. Through the various analyses on the experiment results, we showed that our model could be a framework that provides footing data to develop efficient evacuation policies and preparations.

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Cognitively Based Modeling of Scientific Productivity

Handbook of Research on Nature-Inspired Computing for Economics and Management ◽

10.4018/978-1-59140-984-7.ch011 ◽

2007 ◽

pp. 141-152 ◽

Cited By ~ 1

Author(s):

I. Naveh ◽

R. Sun

Keyword(s):

Cognitive Architecture ◽

Scientific Productivity ◽

Social Simulation ◽

Academic Science ◽

Aggregate Productivity ◽

Agent Based Model ◽

Agent Based ◽

Agent Model ◽

Simulation Based ◽

Cognitive Realism

This chapter advocates a cognitively realistic approach to social simulation. based on a model for capturing the growth of academic science. Gilbert’s (1997) model, which was equation based, is replaced in this work by an agent-based model, with the cognitive architecture CLARION providing greater cognitive realism. Using this agent model, results comparable to human data are obtained. It is found that while different cognitive settings may affect aggregate productivity of scientific articles, generally they do not lead to different distributions of productivity. It is argued that using more cognitively realistic models in social simulations may lead to novel insights.

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A computational simulation-based framework for estimating potential product impact during product design

Design Science ◽

10.1017/dsj.2021.16 ◽

2021 ◽

Vol 7 ◽

Author(s):

Christopher S. Mabey ◽

Andrew G. Armstrong ◽

Christopher A. Mattson ◽

John L. Salmon ◽

Nile W. Hatch ◽

...

Keyword(s):

Product Design ◽

Social Impact ◽

Negative Impact ◽

Positive Impact ◽

Computational Simulation ◽

Design Parameters ◽

Agent Based ◽

The Social ◽

Simulation Based ◽

The Impact

Abstract The impact of engineered products is a topic of concern in society. Product impact may fall under the categories of economic, environmental or social impact, with the last category defined as the effect of a product on the day-to-day life of people. Design teams lack sufficient tools to estimate the social impact of products, and the combined impacts of economic, environmental and social impacts for the products they are designing. This paper aims to provide a framework for the estimation of product impact during product design. To estimate product impact, models of both the product and society are required. This framework integrates models of the product, scenario, society and impact into an agent-based model to estimate product impact. Although this paper demonstrates the framework using only social impact, the framework can also be applied to economic or environmental impacts individually or all three concurrently. Agent-based modelling has been used previously for product adoption models, but it has not been extended to estimate product impact. Having tools for impact estimation allows for optimising the product design parameters to increase the potential positive impact and reduce potential negative impact.

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