Cloud service negotiation framework for real-time E-commerce application using game theory decision system

Rajavel, Rajkumar; Ravichandran, Sathish Kumar; Nagappan, Partheeban; Gobichettipalayam, Kanagachidambaresan Ramasubramanian

doi:10.3233/jifs-189882

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…The cooperative behaviour of partners will determine the success of learning in alliances (e.g. Russian company RGC in alliance with Mars (Rajavel et al. , 2021)).…”

Section: Resultsmentioning

confidence: 99%

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Cross-border alliances and strategic games

Tlemsani¹,

Matthews

Hashim

2023

JWAM

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PurposeThis empirical research examined the factors and conditions that contribute to the success of international strategic learning alliances. The study aimed to provide organisations with evidence-based insights and recommendations that can help them to create more effective and sustainable partnerships and to leverage collaborative learning to drive innovation and growth. The examination is performed using game theory as a mathematical framework to analyse the interaction of the decision-makers, where one alliance's decision is contingent on the decision made by others in the partnership. There are 20 possible games out of 120 outcomes that can be grouped into four different types; each type has been divided into several categories.Design/methodology/approachThe research methodology included secondary and primary data collection using empirical data, the Delphi technique for obtaining qualitative data, a research questionnaire for collecting quantitative data and computer simulation (1,000 cases, network resources and cooperative game theory). The key variables collected and measured when analysing a strategic alliance were identified, grouped and mapped into the developed model.FindingsMost respondents ranked reputation and mutual benefits in Type 1 games relatively high, averaging 4.1 and 3.85 of a possible 5. That is significantly higher than net transfer benefits, ranked at 0.61. The a priori model demonstrate that Type 1 games are the most used in cooperative games and in-game distribution, 40% of all four types of games. This is also confirmed by the random landscape model, approximately 50%. The results of the empirical data in a combination of payoff characteristics for Type 1 games show that joint and reputation benefits are critical for the success of cooperation.Practical implicationsResearch on cross-border learning alliances has several implications. Managerial implications can help managers to understand the challenges and benefits of engaging in these activities. They can use this knowledge to develop strategies to improve the effectiveness of their cross-border learning alliances. Practical implications, the development of game theory and cross-border models can be applied in effective decision-making in a variety of complex contexts. Learning alliances have important policy implications, particularly in trade, investment and innovation. Policymakers must consider the potential benefits and risks of these collaborations and develop policies that encourage and support them while mitigating potential negative impacts.Originality/valueInternational learning alliances have become a popular strategy for firms seeking to gain access to new knowledge, capabilities and markets in foreign countries. The originality of this research lies in its ability to contribute to the understanding of the dynamics and outcomes of these complex relationships in a novel and meaningful way.

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“…The cooperative behaviour of partners will determine the success of learning in alliances (e.g. Russian company RGC in alliance with Mars (Rajavel et al. , 2021)).…”

Section: Resultsmentioning

confidence: 99%

“…The cooperative behaviour of partners will determine the success of learning in alliances (e.g. Russian company RGC in alliance with Mars (Rajavel et al, 2021)). In a way, it justifies that in a complex situation, the strategic movement of one player is dependent on the other.…”

Section: Resultsmentioning

confidence: 99%

Cross-border alliances and strategic games

Tlemsani¹,

Matthews

Hashim

2023

JWAM

View full text Add to dashboard Cite

show abstract

“…It has been widely developed and used in the fields of resource allocation and task solving [28,29], e-commerce [30], cloud computing [31,32], etc. From a technical point of view, the research on agent negotiation can be summarized into four types: game theory-based agent negotiation [33,34], heuristic-based agent negotiation [35,36], argumentation-based agent negotiation [37], and distributed constraint-based agent negotiation [38,39]. Of the four approaches, the game theory-based agent negotiation method provides some descriptive concepts for the optimal solution, but the calculation method is unclear.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making

Lin

Liu

et al. 2022

BMC Med Inform Decis Mak

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Background The clinical practice of shared decision-making (SDM) has grown in importance. However, most studies on SDM practice concentrated on providing auxiliary knowledge from the third-party standpoint without consideration for the value preferences of doctors and patients. The essences of these methods are complete and manual negotiation, and the problems of high cost, time consumption, delayed response, and decision fatigue are serious. Methods In response to the above limitations, this article proposes a fuzzy constraint-directed agent-based negotiation and recommendation framework for bilateral and multi-issue preference negotiation in SDM (PN-SDM). Its purpose is to provide preference information and intellectualize PN-SDM to promote SDM practice. We modeled PN-SDM problems as distributed fuzzy constraint satisfaction problems and designed the doctor agent and patient agent to negotiate on behalf of the doctor and patient. The negotiation result was then transformed into treatment plans by the recommendation model. The proposed negotiation and recommendation models were introduced in detail by an instance. Results The proposed method with different strategies and negotiation pairs achieves good performance in terms of negotiation running time, negotiation rounds, and combined aggregated satisfaction value. Specifically, it can feasibly and effectively complete multiple rounds of PN-SDM in a few seconds and obtain higher satisfaction. Conclusion The experimental results indicate that the negotiation model can effectively simulate preference negotiation and relieve the pressure of increasing issues. The recommendation model can assist in decision-making and help to realize SDM. In addition, it can flexibly cope with various negotiation scenarios by using different negotiation strategies (e.g., collaborative, win–win, and competitive).

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Manifold clustering optimized by adaptive aggregation strategy

Zhang

Xiao

2022

Knowl Inf Syst

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Cloud service negotiation framework for real-time E-commerce application using game theory decision system

Cited by 3 publications

References 18 publications

Cross-border alliances and strategic games

Cross-border alliances and strategic games

Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making

Manifold clustering optimized by adaptive aggregation strategy

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