Dynamic alliance partner selection and its negotiation strategy based on agent and resources

2009 ◽  
Author(s):  
Huamei Sun
Keyword(s):  
Partner Selection ◽  
Negotiation Strategy ◽  
Alliance Partner ◽  
Dynamic Alliance

Emergency Dynamic Alliance Partner Selection Based on Adaptive Genetic Algorithm

2014 ◽  
Vol 668-669 ◽  
pp. 1621-1624 ◽  
Author(s):  
Min Hu
Keyword(s):  
Genetic Algorithm ◽  
Value Chain ◽  
Selection Process ◽  
Partner Selection ◽  
Task Value ◽  
Adaptive Genetic Algorithm ◽  
Alliance Partner ◽  
Dynamic Alliance ◽  
Analytical Perspective ◽  
Overall Effectiveness

Emergency mobilization alliance partner selection process is longitudinally choice of the value chain to achieve a task. Value of subtasks coefficient has been discussed. Depending on the difficulty of the problem and analytical perspective, the model of emergency mobilization alliance partner selection is given to maximize the overall effectiveness of the emergency mobilization. The choice of partner selection using adaptive genetic algorithm is made and the comparison with other methods has been analyzed.

The three faces of China: Strategic alliance partner selection in three ethnic Chinese economies

2014 ◽  
Vol 49 (4) ◽  
pp. 572-585 ◽  
Author(s):  
David Ahlstrom ◽  
Edward Levitas ◽  
Michael A. Hitt ◽  
M. Tina Dacin ◽  
Hong Zhu
Keyword(s):  
Strategic Alliance ◽  
Partner Selection ◽  
Ethnic Chinese ◽  
Alliance Partner

Partner Selection in ASP-Based Automobile Panel Die Dynamic Alliance

2011 ◽  
Vol 101-102 ◽  
pp. 812-816
Author(s):  
Xian Liang Zong ◽  
Hui Zheng ◽  
Yu Sun
Keyword(s):  
Partner Selection ◽  
Prototype System ◽  
Application Service Provider ◽  
Dynamic Alliance ◽  
Combination Optimization ◽  
Application Service ◽  
Automobile Panel ◽  
Panel Die ◽  
Selection Of ◽  
Three Phases

Application service provider (ASP) based dynamic alliance has great advantages in die industry. This paper presents a complete scheme for establishing an ASP-based dynamic alliance for automobile panel die industry. The proposed scheme divides the job of partner selection into three phases, i.e., discovery of potential partners, junior evaluation and selection of potential partners and combination optimization of dynamic alliance. Methods for the three phases of partner selection are proposed and discussed. A prototype system has been developed to confirm the proposed scheme’s feasibility and efficiency.

A computing metaphor approach to customer experience based alliance partner recommendation

Kybernetes ◽  
2015 ◽  
Vol 44 (10) ◽  
pp. 1504-1522 ◽  
Author(s):  
Soe Tsyr Yuan ◽  
Pei Hung Hsieh ◽  
Yu-Chen Yeh
Keyword(s):  
Selection Process ◽  
Partner Selection ◽  
Customer Experience ◽  
Content Type ◽  
Service Value ◽  
Alliance Partner ◽  
Novel Approach ◽  
Functional Aspects ◽  
Innovative Thinking ◽  
Alliance Partners

Purpose – In the service economy era, service value is created from the evaluation of customer experience and it is important to study alliance partner selection for improving service provision. Nevertheless, most of the existing alliance partner selection approaches concentrate on the functional aspects. The purpose of this paper is to provide a novel approach that is customer-centric and emphasizes the emotional aspect of service value. Design/methodology/approach – This paper presents a metaphor-based alliance partner recommendation mechanism (MAPRM) that employs the computing metaphor approach to recommend alliance partners for companies in an innovative way. The main ideas of metaphors are the comparison made between two unlike things that actually have something in common so as to attain innovative thinking. Findings – This study uses the scenario of regional tourism innovation to demonstrate the attempted contributions of MAPRM. The simulation evaluation results show that MAPRM can utilize knowledge and resources from companies to achieve specific alliance goals of satisfying desired customer experiences represented by images that can be analyzed and created based on customers’ feedback and their interactions with companies. Originality/value – MAPRM aims to assist companies to find appropriate alliance partners which offer potential innovation opportunities for service value provision. It is capable of facilitating the alliance partner selection process and assessing customers’ needs at the same time.

scholarly journals Partner selection in market-driven strategic alliances

1997 ◽  
Vol 28 (3) ◽  
pp. 97-104 ◽  
Author(s):  
Saul Klein ◽  
Chekitan Dev
Keyword(s):  
Strategic Alliances ◽  
Customer Value ◽  
Strategic Alliance ◽  
Multiple Choice ◽  
Partner Selection ◽  
Alliance Partner ◽  
One Stop ◽  
Market Driven ◽  
Alliance Partners

How should one select a strategic alliance partner? An answer to this question is provided by extending the literature on symbiotic marketing and focussing attention on market-driven strategic alliances. Such alliances are defined as long-term inter-firm co-operative relationships that add value for the customer. Value is created by providing the advantages of multiple choice purchase options coupled with the convenience of seamless, one-stop-shopping. This means paying attention to customers and competitors in selecting alliance partners. Market-driven strategic alliances are posited to be more successful when usage and firm complementarity levels are correctly matched with the alliance strategy being pursued.

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