Research on Partner Selection in Enterprise Innovation Ecosystem

In the face of fierce market competition,enterprises must ensure the competitiveness of their products or services through technological innovation.However,the complexity of technology often surpasses the capabilities of individual enterprises,leading them to deepen cooperation with other organizations.The entities within the enterprise innovation ecosystem depend on each other,collaborate closely,and rely on core enterprises to integrate resources,thereby creating system value and enhancing competitiveness.The purpose of this paper is to explore the process of selecting appropriate ecosystem partners.It begins by providing an overview of relevant concepts,characteristics,selection factors,and methods.Subsequently,it analyzes the roles,resources,and synergy evolution of the entities within the ecosystem.An evaluation system encompassing operation,core,synergy,and development capability is then established.This system comprises 16 indicators,including organization scale and reputation,and is accompanied by a hierarchical evaluation model.Finally,the validity of the evaluation system is confirmed through empirical analysis,utilizing the Analytic Hierarchy Process(AHP)and the fuzzy comprehensive evaluation method.

RESEARCH ON NEGOTIATION-BASED PARTNER SELECTION APPROACH

The key problem in the construction of virtual enterprises (VEs) is how toselect appropriate partners. The negotiation-based approach is proposed to support partner selectionin the construction of VEs. The negotiation model is discussed from three main aspectsrespectively, i.e., negotiation protocol, negotiation goal and negotiation decision-making model.And the generic mathematical description of the negotiation model is formally presented. Finally, asimple example is used to validate the approach's availability.

Interval programming model for risk-based partner selection of virtual enterprise

The problem of risk-based partner selection of virtual enterprise is investigated. By choosing optimal partner for each project task, the project risk is minimized. The risk parameters are expressed in the form of interval numbers when the precise values are difficult to obtain, and the model is formulated into a 0-1 nonlinear programming with interval coefficients in its objective function. In order to solve the problem, the definition of order relation between interval numbers is given, and the original model is converted into an equivalent crisp bi-objective programming model. Because of the highly constrained nature and multiple objective of the model, a genetic algorithm is proposed to find the set of Pareto or near Pareto optimal solutions. The approach is demonstrated by some numerical examples, and the result shows that the suggested approach has high efficiency and the model has potential to practical applications.

Partner Selection Analysis and System Development Based on Gray Relation Analysis for an Agile Virtual Enterprise

This paper analyzes the state of the art of partner selection and enumerates the advantage of partner selection based on gray relation analysis comparing to the other algorithms of the partner selection. Furthermore, partner selection system based on gray relation for an Agile Virtual Enterprise（AVE） is analyzed and designed based on the definition and characteristics of the AVE. According to J2EE mode, the architecture of the partner selection system is put forward and the system is developed t^ing JSP, EJB and SQL Server. The paper lays emphasis on a gray relational mathematic model, AVE evaluation infrastructure, a core algorithm of partner selection and a multi-layer gray relation selection process.

Gendered partner selection among overseas Chinese in the West and the motivations behind it

Studies up to now have shown the difference in partner/spouse selection between men and women of ethnic minority groups overseas but lack in-depth exploration of the reasons behind such selection.This study aims to fill the gap by exploring the different types of motivations that drive men and women of ethnic minorities to select their partners/spouses.Using quantitative and qualitative data,we compared partner/spouse selection dynamics and motivations among overseas Chinese men and women.Our study on Chinese people living in Belgium reveal significant gender differences in spouse selection between men and women,with more women likely to go in for intermarriage than men.In our interviews,we found that the underlying motivations for women’s preference for intermarriage lie in their fondness for Western family culture and their desire to make the host country their permanent home.We also found that in their partner-spouse selection,women were less influenced by social norms or pressure from parents and family,which are the main factors driving endogamy.Although the gender ratio in the marriage market is more or less even,cultural factors and possible different adaptation methods of men and women prompt Chinese people to consider or reject their compatriots as suitable partners/spouses.

Partner selection model and soft computing approach for dynamic alliance of enterprises

Partner selection is an active research topic in agile manufacturing and supply chain management. In this paper, the problem is described by a 0-1 integer programming with non-analytical objective function. Then, the solution space is reduced by defining the inefficient candidate. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach for the project scheduling is proposed. We then develop a fuzzy decision embedded genetic algorithm. We compare the algorithm with tranditional methods. The results show that the suggested approach can quickly achieve optimal solution for large size problems with high probability. The approach was applied to the partner selection problem of a coal fire power station construction project. The satisfactory results have been achieved.

Partner selection strategies in cooperative wireless networks with optimal power distribution

There have been several results that illustrate the best performance that a network can get through cooperation of relay nodes. For practical purposes, not all nodes in the network should be involved at the same time in every transmission. Therefore, optimal partner selection protocols in cooperative wireless networks are believed to be the first important thing that should be paid attention to. This problem in our article is considered in the context of regenerative nodes and non-altruistic cooperation （no pure relay exists; all nodes have their own data to transmit）. For each transmission, the protocol must provide the user （source node） a ＇best partner＇ （relay node） to cooperate with （for network simplicity and less transmission signals here, assume that each user has only one cooperative node）. A criterion is essentially needed when defining what a ＇best partner＇ is; in this article, two factors, i.e, the successful transmission probability and the transmission power, are considered. Three optimal partner selection strategies with different goals are proposed and analyzed respectively. The simulation results show that these are all supposed to be good tradeoffs between power consumption and transmission performance.

Partners selection of VE based on the organizational field

VE organizational field is a management meaning field formed by the mutual action of resources element.It studies leader and partners in VE as a system,and founds the affiliation among them by the relation of resources.It describes candidate partner enterprise's inner trait and exterior trait by quality parameter and exterior parameter,then analyzes and evaluates them.It combines the qualitative variable and quantitative variable to evaluate the candidate enterprises.It integrates static and dynamic method to help the VE leader to choose partner,which is good for the whole alliance.

The Networked Manufacturing Resources Optimizing Configuration System and Its Partners Selection Method

The three levels optimizing strategy is put forward for the networked manufacturing resources optimizing configuration, namely, the optimizing of a logical manufacturing process, the optimizing of simulation-based integration of process planning and scheduling, and the optimizing of networked production scheduling. Then, the web services-based architecture of networked manufacturing resources optimizing configuration is brought forward. Finally, the key algorithm of the networked manufacturing resources optimizing configuration is discussed, namely, the two phases manufacturing partners selection method, which including the group technology-based manufacturing resources pre-configuration and the genetic algorithm-based executable manufacturing process optimizing.

Manufacturing Partner Selection by Network Based on "Invite/Submit Tenders

Dynamic alliances are one type of production modes to realize agile manufacturing. Technology support for the dynamic alliance selection process is an important task in agile manufacturing. This paper analyzes the general dynamic alliance principle, suggests a network method for selecting partners, and analyzes the evaluation factors for partners selection in the process of setting up a manufacturing alliance. The results show that these factors can be divided into two levels: macro- and micro-characteristics. The decision-making process by each member has five main technical activities, which form the technology support system for the manufacturing alliance bid.

Study on the partner selecting method of strategic alliance inhigh and new technology enterprises

A successful and effective strategic alliance involves many factors, of which selecting a proper partner is the most important factor to achieve the success of the alliance. In view of the characteristics of strategic alliance in high and new technology enterprises and according to the analysis on the standards of partner selecting and the factors of the success of alliance, this paper does some deeper research on the partner selecting and the alliance evaluation process from the perspective of different strategic levels by using a fuzzy comprehensive evaluating method, thus providing a method to select the alliance partner for high and new technology enterprises in China.

Selecting a Chinese Construction Partner

This month＇s column highlights some key factors to be aware of when selecting a Chinese construction partner. We hope these tips will be useful in providing a basic understanding of China＇s complex business environment and how best to navigate it.

Social-Aware Cooperation Among Mobile Terminals for Wireless Downlink Transmission

This paper investigates the social-aware cooperation(SAC) among mobile terminals(MTs), motivated by the fact that modern smart devices have much improved context awareness. Aware of the social ties, the cooperative network contains two layers of property: social and physical. In order to observe how the social awareness benefit the cooperation performance, we first formulate the social ties between MTs into parameters that can describe the cooperative behaviors by taking the mobility feature into account, defined as the conviction-approval-suspicion(CAS) model. Limited by the processing capability, partner selection is of great practical significance. To this end, the social-aware partner selection strategy is analyzed, and a significant superiority is observed compared to social-unaware selection. By analyzing the cooperative throughput, an explicit relationship between the degrees-of-freedom gain and the social-physical property is finally derived. Simulation results validate the theoretical analysis.