Incentive Mechanisms for Multi-agent Organizational Systems

2015 ◽  
pp. 35-57
Author(s):  
D. A. Novikov
Keyword(s):  
Organizational Systems ◽  
Incentive Mechanisms ◽  
Multi Agent

Value co-creation mechanisms of multi-agent participation in crowdsourcing innovation: A grounded theory study

2021 ◽  
pp. 1-12
Author(s):  
Meng Qingliang ◽  
Hang Yi ◽  
Chen Xiaojun ◽  
CAO Qiaoyi
Keyword(s):  
Grounded Theory ◽  
Process Analysis ◽  
Third Party ◽  
Incentive Mechanisms ◽  
Operation Process ◽  
Participation Motivation ◽  
New Business ◽  
Innovation Model ◽  
Multi Agent ◽  
Knowledge Value

As a new business model, crowdsourcing innovation is widely used for enterprises to complete innovation tasks by the external crowds. The enterprises, the external crowds, and the crowdsourcing platform make an alliance and co-create value to achieve the multi-win goal. Based on the operation process analysis of the third-party platform crowdsourcing innovation model, this paper proposes that the essence of crowdsourcing innovation is the value co-creation of multi-agent participation. Based on grounded theory, this paper constructs the theoretical model of the realization mechanism of multi-agent participation value co-creation in crowdsourcing innovation from the three parties’ perspective. This research finds that value co-creation factors include six factors: task attributes, incentive mechanisms, trust mechanisms, the platform supports, participation motivation, and diversities. The process of value co-creation includes resource integration and interaction. The results of value co-creation include three elements: innovation value, knowledge value, and relationship value.

scholarly journals Agent model for multi-agent organizational system: economic aspect

2019 ◽  
Vol 2019 (4) ◽  
pp. 14-20
Author(s):  
Alexey Sergeyevich Dobrynin ◽  
Alexander Sergeyevich Koynov ◽  
Marina Vladimirovna Purgina
Keyword(s):  
Decision Makers ◽  
Organizational Systems ◽  
Economic Systems ◽  
Organizational System ◽  
Agent Model ◽  
Active Elements ◽  
Multi Agent ◽  
Reliable Knowledge ◽  
Formalized Description ◽  
Zero Sum

Modeling the behavior of social and economic systems plays an important role in various fields of knowledge. An important task is the prediction of the behavior of such systems and their states in the future, for the adoption of proactive and corrective management decisions. Despite the constant development of game theory and other disciplines of a socio-economic (cybernetic) profile, the issue of a generalized formalized description of such systems consisting of active elements remains relevant. Significant difficulties arise with the formal description of any systems that contain active elements (people), due to the human factor and the lack of reliable knowledge about the features of the human brain. Many theories, in particular the theory of management of organizational systems, use the idea of an “economic” person as a hypothesis, whose preferences can be described by the objective cost and effect functions, which is typical for “western” scientific trends. In most cases, the developers of such theories do not propose anything concrete, but merely shift the responsibility to decision makers who are invited to build all the models on their own. It has been stated that so far many social and economic processes are considered as strategic games and zero-sum games, which leaves its mark on the decision-making process. An agent model for multi-agent organizational systems has been formed, which can be used to develop planning, incentive mechanisms that are focused on the needs and wishes of work performers. Elements of the agent model under consideration are implemented in the system for monitoring the effectiveness of the activity of the Siberian State Industrial University.

Multi-agent temporal nontransitive linear logics and the admissibility problem

2020 ◽  
Vol 59 (1) ◽  
pp. 123-141
Author(s):  
V. V. Rybakov
Keyword(s):  
Multi Agent

Digital Circuit of Multi-Agent System for Two Pedestrian Streams in A Narrow Path

2014 ◽  
Vol 2 ◽  
pp. 471-474
Author(s):  
Takashi TOYOFUKU ◽  
Kunihiko MITSUBORI
Keyword(s):  
Digital Circuit ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

A Study on Incentive Mechanisms for Green Shops

2016 ◽  
Vol 24 (1) ◽  
pp. 163
Author(s):  
Hee-Chan Kang ◽  
Sang-Whan Lho
Keyword(s):  
Incentive Mechanisms
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