Beyond Accuracy. Reputation for Partner Selection with Lies and Retaliation

2008 ◽  
pp. 128-140 ◽  
Author(s):  
Isaac Pinyol ◽  
Mario Paolucci ◽  
Jordi Sabater-Mir ◽  
Rosaria Conte
Keyword(s):  
Partner Selection

Migrants, Partner Selection and Integration: Crossing Borders?

2001 ◽  
Vol 32 (4) ◽  
pp. 601-626 ◽  
Author(s):  
Erna Hooghiemstra
Keyword(s):  
Partner Selection

Partner Selection in Co-investment Networks: Evidence from Venture Capital

2012 ◽  
Author(s):  
Yael V. Hochberg ◽  
Laura Anne Lindsey ◽  
Mark M. Westerfield
Keyword(s):  
Venture Capital ◽  
Partner Selection

Proactive Legal Involvement in Partner Selection Process

2014 ◽  
Author(s):  
Danielle Twardy Duisters ◽  
Peter Kamminga ◽  
Geert Duysters
Keyword(s):  
Selection Process ◽  
Partner Selection

Syndicate Partner Selection: who Syndicates with Whom?

2012 ◽  
Author(s):  
Peter Roosenboom ◽  
Bram W. van den Bosch
Keyword(s):  
Partner Selection

A partner selection problem for complex product of manufacturing enterprises in supply chain

2021 ◽  
pp. 1-13
Author(s):  
Congdong Li ◽  
Yinyun Yu ◽  
Wei Xu ◽  
Jianzhu Sun
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Fuzzy Theory ◽  
Partner Selection ◽  
Manufacturing Companies ◽  
Complex Product ◽  
Manufacturing Enterprises ◽  
Collaborative Manufacturing ◽  
Matching Degree ◽  
Decision Making Model

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.

How to Choose the Right Partners in Cross-Sector Partnership in Emerging Countries? A Political Embeddedness Perspective

2020 ◽  
pp. 000765032098260
Author(s):  
Jiawen Chen ◽  
Qian Zhang ◽  
Linlin Liu
Keyword(s):  
Close Relationships ◽  
Social Trust ◽  
Social Performance ◽  
Partner Selection ◽  
Emerging Countries ◽  
Social Partnership ◽  
The Social ◽  
The Government ◽  
The Right ◽  
Relational Risks

In emerging countries such as China where the government is gradually withdrawing from involvement in social affairs, firms face dilemmas around relational risks of partnering with different forms of nongovernmental organizations (NGOs). Affiliated NGOs (those with close relationships with government) are more likely to sabotage the social partnership through misconduct, and are also capable of higher standards of collaborative social performance compared with independent NGOs (those with few such relationships). This study proposes that firms’ political embeddedness helps mitigate relational risks in cross-sector partner selection, and finds that politically connected firms are more likely to partner with affiliated NGOs than with independent NGOs in China. This effect is more pronounced for private firms that are less socially oriented or are located in regions with less-developed formal institutions and social trust. Our findings highlight relational risks relevant to cross-sector partner selection literature and offer important insights into how relational risks can be reduced in cross-sector partner selection in emerging countries.

Developing an Outsourcing Partner Selection Model for Process with Two-Sided Specification Using Capability Index and Manufacturing Time Performance Index

2019 ◽  
Vol 26 (03) ◽  
pp. 1950015 ◽  
Author(s):  
Kuen-Suan Chen ◽  
Tsang-Chuan Chang ◽  
Yun-Tsan Lin
Keyword(s):  
Performance Index ◽  
Business Models ◽  
Partner Selection ◽  
Selection Model ◽  
Index Formula ◽  
Time Performance ◽  
Capability Index ◽  
Point Estimates ◽  
Manufacturing Time

In the face of fierce global competition, firms are outsourcing important but nonessential tasks to external professional companies. Corporations are also turning from competitive business models to cooperative strategic partnerships in hopes of swiftly responding to consumer needs and enhancing overall efficiency and industry competitiveness. This research developed an outsourcing partner selection model in hopes of helping firms select better outsourcing partners for long-term collaborations. Process quality and manufacturing time are vital when evaluating outsourcing partner. We therefore used process capability index [Formula: see text] and manufacturing time performance index [Formula: see text] in the proposed model. Sample data from random samples are needed to calculate the point estimates of indices, however, it is impossible to obtain a sample with a structure completely identical to that of the population, which means that sampling generates unavoidable sampling errors. The reliability of point estimates are also uncertain, which inevitably leads to misjudgment in some cases. Thus, to reduce estimate errors and increase assessment reliability, we calculated the [Formula: see text]% confidence intervals of the indices [Formula: see text] and [Formula: see text], then constructed the joint confidence region of [Formula: see text] and [Formula: see text] to develop an outsourcing partner selection model that will help firms select better outsourcing partners for long-term collaborations. We also provide a case as an illustration of how the proposed selection model is implemented.

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