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A variety of different stakeholder groups work at any given airport. To aim for a safety and an efficient and environmentally friendly mobility, the stakeholders must modify processes. In the area of airport management one possibility is to establish the collaboration of stakeholder groups. But challenges arise out of divergent interests. These differences can significantly influence decision-making. Special kinds of airport management processes (and in particular when focusing on decision-making) are difficult to analyse with conventional methods of real- or fast-time simulations, because in these cases there is no holistic focus on human decision-making. Serious games offer the possibility to validate complex operational concepts in airport management. Due to the high collaborative nature it is also possible to analyse human decision-making in teams with the help of serious games. To analyse these both aspects in airport management the serious game D-CITE (Decisions based on Collaborative Interactions in TEams) was developed. It is a round-based multiplayer game, which is playable for four players. The task is to manage an airport. Therefore it is necessary to share information due to limited knowledge about certain facts. Moreover, there are critical events, such as thunderstorms. The team earns a numerical score, which provides information about the success of the team. All in all, D-CITE is not only a research instrument, but also a training instrument. The game trains managers in the relevance of information-sharing and in the benefits of collaborative decision-making. The focus in this paper is on the game-based learning aspect. In a first study the quality of D-CITE was tested (N=8). It has been found that the game, the usability and the abstracted degree of reality was well suitable for this kind of analysis. During a second experimental session with airport managers (N=4) the training and game-based learning aspect was proved. After filling out questionnaires, the four experts played D-CITE. During a debriefing, the learning aspect (awareness about the relevance of collaboration) was evaluated. The results will be presented and discussed in this paper. [ABSTRACT FROM AUTHOR]

Online consumer reviews (OCR) serve as marketing communication strategy for retailers and help manufacturers improve their product quality and competitive strength. Independent supplier (such as manufacturer) and customer (such as retailer) manage some capital-intensive knowledge resources response to OCR shared among them. These knowledge resources operate somewhat in isolation to serve their own consumers and provide services for their consumers, but in close coordination with each other to ensure effective use of resources are shared. Typical examples of collaborative decision making integration are these cooperative knowledge creation problems in supply chain. In this paper we analysis how important OCR to be the channel of consumers' need in supply chain collaboration, then we modeled the collaborative decision-making for knowledge creation with OCR as a Stackelberg leader-follower game and finally we find that, (1) leader with OCR marginal revenue must be greater than follower with OCR marginal revenue to be build and maintain the supply chain collaborative knowledge creation relationship; (2) OCR can improve to get more profit than without it in collaborative. [ABSTRACT FROM PUBLISHER]

We propose a framework to support collaborative decision-making among multi-mobile users. This framework is comprised of an Agent's Case-based Reasoning, Integrated Ontology Generation and a Value Unification Module. The case-based reasoning module used to semantic similarity calculation and is applied to the extraction of the most similar case from each decision maker's case-base. Each the most similar case can be an alternative solution for the new requirement which makes the collaborative decision among the decision-makers. The number of alternative solutions depends on the number of the collaborative decision-makers. Each extracted case is mapped on a personalized personal ontology by projecting each of the cases onto the meta-ontology for deriving an appropriate solution for the new requirement. The personal ontology consists of the classes and/or instances and their relationships that are common in all the personalized personal ontologies. It is named an integrated ontology. As the next step, to find a collaboratively satisfactory solution, we need to determine the degree of unification of classes or instances on the integrated ontology. The weight of unification means the extent to which the classes and/or instances are shared among the decision-makers. The propagation of unification is performed by the value that has maximum weight of unification using the integrated ontology. The unification is executed recursively until it reaches a collaborative decision. To do so, we propose the ontology-based value unification algorithm. However, if we cannot find the solution after the unification is finished, the real-time interactive negotiation algorithm that is newly proposed by us is applied. [ABSTRACT FROM PUBLISHER]

Modeling and managing Supply chain management systems that span multiple organizations involves new challenges, mainly regarding the ability to cope with change on the wide variety of languages and technologies which are heterogeneous in permanent evolution. The goal of our work is to contribute to the field of modeling and designing Supply chain management systems. Let's put forward a methodological approach which is based on four aspects (resource aspect, organizational aspect, functional aspect and interaction aspect) and which uses the multi agents system to model their different actors. Each actor in the proposed model is represented by a subsystem. They interact with each other to accomplish their tasks using two types of interaction, internal and external. They can communicate, negotiate and collaborate through a communication interface in order to discuss and negotiate the stocks, make the system more responsive and reduce inventory carrying costs. [ABSTRACT FROM PUBLISHER]

Command and control organization structure (C2OS) design is one of the most important research issues in collaborative command decision-making domain. C2OS design optimally deploys the decision-making entities and platforms in order to achieve the effectiveness optimization of organization operation. Based on the analysis of military C2 organization and its structure formation, four kinds of decision-making entity organization structure (DMEOS) are concluded and described. Decentralized organization structure (DCOS) and centralized organization structure (COS) belong to traditional DMEOS, and distributed organization structure with coordinator (DOSWC) and complete distributed organization structure (CDOS) belong to distributed organization structure (DOS). The characteristics and performances of different DMEOS are analyzed and compared. It is the systemic summarization of the research and development of DMEOS. [ABSTRACT FROM PUBLISHER]