• 한국산학기술학회논문지
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• 제14권4호
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• pp.1683-1689
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• 2013

협상과정을 Markov 확률과정으로 전제하고 확률과정의 상태별 이행확률의 크기가 협상참가자의 사적인 정보에 의하여 결정된다고 가정한다. 예를 들어, 판매자와 구매자의 가격협상의 예에서 협상상대방의 특징-예를 들어, 유보가격-에 대한 정보가 사적인 정보일 때 협상참가자 모두가 수용가능한 가격을 찾는 과정이 이행확률의 크기에 영향을 받고, 결과적으로 협상지연의 정도를 결정함을 보인다. 또한 협상의 참가자가 모두 교대로 제안을 하는 제안과 대응제안의 방법의 협상에서보다 협상참가자중 어느 한 쪽의 일방에서 제안을 하는 방법의 협상에서 협상지연이 더욱 길어짐을 보인다.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.461-470
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• 2020

The objective of this research is to examine the factors affecting the decision-making of International Commercial Terms (Incoterms) of automotive parts manufacturers in Thailand. This mixed method study applied qualitative and quantitative research methods and utilized the analytical hierarchy process (AHP) to prioritize the significance of the factors. By an in-depth literature review and expert interview, four main criteria were identified. These criteria include Operating costs, Cooperation and bargaining power, Knowledge and understanding and Operation duration then main criteria divided into fifteen sub-criteria. The common Incoterms, Ex Works (EXW), Free On Board (FOB), Free Carrier (FCA), and Cost, Insurance and Freight (CIF), were determined as alternatives to the incoterms through a preliminary survey. The results revealed that the operating costs were the most important factor for the company. Moreover, it was discovered that this was consistent with the priority of the secondary factors, which included the annual budget for the transportation expenses and product value at one time. The respondents' perspective suggested that FCA was the most appropriate Incoterms for international trade for a company. The findings of this research suggest a hierarchy model for organizations to prioritize the significant factors in order to make a decision on the most appropriate Incoterms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.34-49
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• 2015

Market means of spectrum trading have been utilized as a vital method of spectrum sharing and access in future cognitive radio system. In this paper, we consider the spectrum trading with multiple primary carrier providers (PCP) leasing the spectrum to multiple secondary carrier providers (SCP) for a short period of time. Several factors including the price of the resource, duration of leasing, and the spectrum quality guides the proposed model. We formulate three trading policies based on the game theory for dynamic spectrum access in a LTE based cognitive radio system (CRS). In the first, we consider utility function based resource sharing (UFRS) without any knowledge of past transaction. In the second policy, each SCP deals with PCP using a non-cooperative resource sharing (NCRS) method which employs optimal strategy based on reinforcement learning. In variation of second policy, third policy adopts a Nash bargaining while incorporating a recommendation entity in resource sharing (RERS). The simulation results suggest overall increase in throughput while maintaining higher spectrum efficiency and fairness.