Firms' Strategic Positioning Modeling in Dynamic Strategy Space Agent-Based Approach

2018 ◽  
pp. 277-289
Author(s):  
Morteza Mahmoudzadeh ◽  
Mohammad Ali Sobhanallahi ◽  
Seyed Siavash Jahan Morad Nouri
Keyword(s):  
Market Share ◽  
Strategic Positioning ◽  
Strategy Space ◽  
Agent Based ◽  
Dynamic Strategy ◽  
Simulation Results

The aim of this research is firms' strategic positioning modeling in a dynamic strategy space consisting of the customers and competitors. Presented model provides the possibility of choosing superior position to other competitors and customers for each firm, so that it can maximize its profit and market share. According to this that the best position choice can have different meanings for different companies in an industry, so the studied firms were divided into six groups based on a series of the obtained indicators of experts in the cosmetics-sanitary industry in Iran and two scenarios were tested for the superior position choice (closing to the best firm, locating in the best position) on them. Finally, the appropriate approach was offered for firms in each group in choosing the superior position by using the simulation results agent-based approach.

Analyzing Marketing Strategies in the Emerging Mobile Communications Market

2016 ◽  
Vol 7 (4) ◽  
pp. 40-59
Author(s):  
Weiyang Wang ◽  
Manabu Ichikawa ◽  
Hiroshi Deguchi
Keyword(s):  
Emerging Markets ◽  
Market Share ◽  
Mobile Communications ◽  
Computational Simulation ◽  
Marketing Strategies ◽  
Agent Based Model ◽  
Service Market ◽  
Agent Based ◽  
Simulation Based

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.

Formal Modeling and Analysis of Collaborative Humanoid Robotics

2019 ◽  
pp. 1086-1108
Author(s):  
Yujian Fu ◽  
Zhijiang Dong ◽  
Xudong He
Keyword(s):  
Petri Net ◽  
Control Strategies ◽  
Formal Modeling ◽  
Humanoid Robotics ◽  
Modeling And Analysis ◽  
Agent Based ◽  
Design And Implementation ◽  
Simulation Results ◽  
And Control ◽  
Successful Collaboration

A humanoid robot is inherently complex due to the heterogeneity of accessory devices and to the interactions of various interfaces, which will be exponentially increased in multiple robotics collaboration. Therefore, the design and implementation of multiple humanoid robotics (MHRs) remains a very challenging issue. It is known that formal methods provide a rigorous analysis of the complexity in both design of control and implementation of systems. This article presents an agent-based framework of formal modeling on the design of communication and control strategies of a team of autonomous robotics, to attain the specified tasks in a coordinated manner. To ensure a successful collaboration of multiple robotics, this formal agent-based framework captures behaviors in Petri Net models and specifies collaboration operations in four defined operations. To validate the framework, a non-trivial soccer bot set was implemented and simulation results were discussed.

Optimal Patent Design

2013 ◽  
pp. 280-302
Author(s):  
Anthony Brabazon
Keyword(s):  
Product Space ◽  
Policy Instruments ◽  
Agent Based Modeling ◽  
Technological Advance ◽  
Patent Policy ◽  
Agent Based ◽  
Simulation Results ◽  
The Relationship ◽  
Patent Design ◽  
Patent Breadth

Patents provide a patentee with a degree of monopoly power over a region of product space. The “breadth” and “duration” of patents are policy choices. Increasing patent breadth and duration will ceteris paribus increase the rent, which an individual inventor could earn from a commercially successful invention. However, the precise nature of the relationship between patent policy and the rate of societal technical advance, which is stimulated by a given patent design, is not well understood. In this chapter, the authors novelly investigate this issue using an agent-based modeling approach. The simulation results obtained raise questions about the real utility of patent policy in promoting technological advance and suggest that other policy instruments are actually more important.

Endogenous Uncertainty and the Dynamics of Constraints

2019 ◽  
pp. 246-260
Author(s):  
Paul Humphreys
Keyword(s):  
Utility Maximization ◽  
Social Dynamics ◽  
Fitness Landscape ◽  
Agent Based Model ◽  
Agent Based ◽  
Endogenous Uncertainty ◽  
The Commons ◽  
Simulation Results ◽  
Special Case

An agent- based model of social dynamics is introduced using a deformable fitness landscape, and it is shown that in certain clearly specifiable situations, strategies that are different from utility maximization outperform utility maximizers. Simulation results are presented and intuitive interpretations of the results provided. The situations considered occur when individuals' actions affect the outcomes for other agents and endogenous effects are dominant. The Tragedy of the Commons is merely a special case of this. Arguments are given that constraints are to be encouraged in some circumstances. The appropriate role of constraints in various types of society is assessed and their use justified in identifiable types of situations.

Examining the Myth of Money with Agent-Based Modelling

2008 ◽  
pp. 252-263 ◽  
Author(s):  
Satoru Yamadera
Keyword(s):  
Social Sciences ◽  
Computational Model ◽  
Intrinsic Value ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Economic Theories ◽  
Agent Based Modelling ◽  
Simulation Results ◽  
Classical Economic ◽  
Theories Of Money

This chapter presents an agent-based computational model of the emergence of money. It is based on classical economic theories of money, advocating that money is a symbol of credibility. The most interesting and mysterious feature of money is a departure of its face value from its intrinsic value. People accept and appreciate a piece of paper because it is believed as money. The model examines how such belief creates money in a society. Further more, by incorporating spatial activities of agents into the simulations, the model can examine various hypotheses which were difficult to be examined in previous approaches. The simulation results show that parameters such as credibility and communication between agents will affect the outcomes. The model not only provides the foundation for more generalized theory of money, but also demonstrates that agent-based modeling can be an effective tool to examine various hypotheses of social sciences.

An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland

2012 ◽  
Vol 79 (9) ◽  
pp. 1638-1653 ◽  
Author(s):  
Ehsan Shafiei ◽  
Hedinn Thorkelsson ◽  
Eyjólfur Ingi Ásgeirsson ◽  
Brynhildur Davidsdottir ◽  
Marco Raberto ◽  
...  
Keyword(s):  
Market Share ◽  
Electric Vehicles ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Modeling Approach

scholarly journals Closed-mindedness and insulation in groupthink: their effects and the devil’s advocacy as a preventive measure

2020 ◽  
Author(s):  
Muqtafi Akhmad ◽  
Shuang Chang ◽  
Hiroshi Deguchi
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Preventive Measure ◽  
Agent Based Model ◽  
Agent Based ◽  
Prevention Measure ◽  
Simulation Results

Abstract This paper’s purpose is to clarify groupthink phenomena and to assess the devil’s advocacy as a groupthink prevention measure. An agent-based model is presented to formalize group closed-mindedness and insulation in a group decision making setting. The model was validated by showing that groupthink results in the decision with low quality and the group’s inability to explore more alternatives. Besides that, the devil’s advocacy also formulated in the model. The simulation results of different conditions of the devil’s advocacy support Janis’ suggestion to utilize the devil’s advocacy to alleviate groupthink. It is also found that the utilization of devil’s advocacy depends on the group’s condition and the desired amount of conflict to produce the best decision.

scholarly journals Towards Exploration of Social in Social Internet of Vehicles Using an Agent-Based Simulation

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Kashif Zia ◽  
Arshad Muhammad ◽  
Abbas Khalid ◽  
Ahmad Din ◽  
Alois Ferscha
Keyword(s):  
Context Awareness ◽  
Data Science ◽  
Social Ties ◽  
Social Aspects ◽  
Internet Of Vehicles ◽  
Agent Based ◽  
Smart Vehicles ◽  
The Social ◽  
Simulation Results ◽  
Data Constraints

Internet of Vehicles (IoV) is turning out to be one of the first impressive examples of Internet of Things (IoT). In IoV, the factors of connectivity and interaction/information dispersion are equally important as sensing/actuating, context-awareness, services provisioning, etc. However, most of the researches related to connectivity and interaction are constrained to physics of signaling and data science (semantics/contents), respectively. Very rapidly, the meanings of these factors are changing due to evolution of technologies from physical to social domain. For example, Social IoV (SIoV) is a term used to represent when vehicles build and manage their own social network. Hence, in addition to physical aspects, the social aspects of connectivity and information dispersion towards these systems of future should also be researched, a domain so far ignored in this particular context. In this paper, an agent-based model of information sharing (for context-based recommendations) of a hypothetical population of smart vehicles is presented. Some important hypotheses are tested under reasonable connectivity and data constraints. The simulation results reveal that closure of social ties and its timing impacts the dispersion of novel information (necessary for a recommender system) substantially. It is also observed that as the network evolves due to incremental interactions, the recommendations guaranteeing a fair distribution of vehicles across equally good competitors is not possible.

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

2016 ◽  
Vol 248 (3) ◽  
pp. 1093-1103 ◽  
Author(s):  
Guoyin Jiang ◽  
Pandu R. Tadikamalla ◽  
Jennifer Shang ◽  
Ling Zhao
Keyword(s):  
Market Share ◽  
Agent Based Model ◽  
Agent Based
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