scholarly journals Effectiveness of Ecosystem Strategies for the Sustainability of Marketplace Platform Ecosystems

2019 ◽  
Vol 11 (20) ◽  
pp. 5866 ◽  
Author(s):  
Inoue ◽  
Hashimoto ◽  
Takenaka
Keyword(s):  
Simulation System ◽  
Agent Based Simulation ◽  
Trade Off ◽  
Agent Based ◽  
Logistics Services ◽  
Ecosystem Evolution ◽  
Platform Ecosystems ◽  
Research Stream ◽  
Platform System

Physical intermediary firms, such as logistics firms, are the foundation of marketplace platform ecosystems. This study introduces the case of a delivery crisis caused by the withdrawal of major logistics firms from the Japanese marketplace platform. To address such a problem, this study considers the application of an “ecosystem strategy”. We define an ecosystem strategy in this situation, as “the strategy by which the platform owner cooperates with logistics firms to standardize logistics services and provides a platform system to improve cooperation among them”. We constructed an agent-based simulation system customized by a dataset of Japanese platform-based markets to test the effectiveness of the proposed strategy. The results indicate that the introduction of the ecosystem strategy postponed the start of the collapse. It also increased the number of platform users by roughly 1.10 times and increased the total profits of logistics firms about 1.22 times. Additionally, it removed the trade-off relationship between platform users and the profits of logistics firms and allowed the maximization of both. This study contributed to the research stream of platform ecosystems by defining an ecosystem strategy, including physical intermediary firms, and verifying the effectiveness of the strategy for ecosystem evolution and sustainability.

scholarly journals Modification of Service Content for Evolution of Service Platform Ecosystems

2020 ◽  
Vol 1 (1) ◽  
pp. 1-19
Author(s):  
Yuki Inoue ◽  
Takeshi Takenaka ◽  
Koichi Kurumatani
Keyword(s):  
Service Industry ◽  
Service Industries ◽  
Negative Effects ◽  
Agent Based Simulation ◽  
Service Platform ◽  
Agent Based ◽  
Customer Involvement ◽  
Platform Ecosystems ◽  
Proper Modification

In platform ecosystems, the proper modification of goods provided could promote innovation and fulfill the need for diversity among consumers. However, most platforms in the service industry currently serve merely as intermediaries for existing services. This study aims to clarify how the function of a platform, which brings a modification of the content of services, contributes to the development of the platform ecosystem in service industries. The results of an agent-based simulation that imitates platform-based markets of a service industry reveal that the facilitation of changing the content of services could have negative effects for the platform ecosystem if there are no supportive functions. The authors demonstrate that two supportive platform functions contribute to successful modifications in service content the facilitation of customer involvement improves the sustainability of the ecosystem by increasing profits of platform users, and the support for capturing latent needs extends to the platform-based market.

A Multi Agent Based Simulation Framework for the Study of Transit Passenger’s Route Choice Behavior

2010 ◽  
Vol 108-111 ◽  
pp. 525-529
Author(s):  
Yi Kui Mo ◽  
Xiang Rong Qiao ◽  
Yong Yun Su
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Simulation System ◽  
Simulation Software ◽  
Massachusetts Institute Of Technology ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Route Choice Behavior ◽  
Multi Agent ◽  
Institute Of Technology

In light of the characteristics of transit passenger’s route choice behavior, this paper introduces a multi-agent based simulation approach into the study of this behavior.At first, the paper analyzes factors affecting transit passenger’s route choice behavior and then studies the rules of behavior for transit passengers when making route choices. The paper further proposes a utility function for selected routes and examines ways to investigate and analyze corresponding data so as to provide a basis for the modeling of passenger agent’s route choice behavior. Following this, the paper builds up a simulation system for transit passenger’s route choice behavior based on the multi-agent simulation software Starlogo developed by Massachusetts Institute of Technology (MIT), and explains the process that will actually take place when using the simulation system. Finally, inadequacies of the study are analyzed and the focus of further research is indicated.

scholarly journals Age and Group-driven Pedestrian Behaviour: from Observations to Simulations

2016 ◽  
Vol 1 ◽  
Author(s):  
Andrea Gorrini ◽  
Giuseppe Vizzari ◽  
Stefania Bandini
Keyword(s):  
Model Validation ◽  
Field Observation ◽  
Simulation System ◽  
Combined Effect ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Frequent Type ◽  
Spatial Cohesion ◽  
Pedestrian Simulation ◽  
Simulation Systems

The development of pedestrian simulation systems requires the acquisition of empirical evidences about human behaviour for sake of model validation. In this framework, the paper presents the results of an on field observation of pedestrian behaviour in an urban crowded walkway. The research was aimed at testing the potentially combined effect of ageing and grouping on speed and proxemic behaviour. In particular, we focused on dyads, as the most frequent type of groups in the observed scenario. Results showed that in situation of irregular flows elderly pedestrians walked the 40% slower than adults, due to locomotion skill decline. Dyads walked the 30% slower than singles, due to the need to maintain spatial cohesion to communicate (proxemics). Results contributed to refine the parametric validation of the agent-based simulation system ELIAS38.

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