Research on strategic partner selection under industrial agglomeration

<p>The selection of excellent partners for enterprises is crucial to the establishment and operation of industrial agglomeration enterprise alliances. It is not only related to the creation of new market values, the reduction of cost of cooperative enterprises, but also directly affects the efficiency of enterprise alliances. This study analyzes the theory of enterprise cooperation under industrial agglomeration, and establishes the index system, selection method and scientific rational selection process of strategic partner selection under this foundation and background<span style="font-family: 'Times New Roman';">, </span>to provide theoretical guidance for enterprises to choose the best strategic partners for industrial agglomeration.</p>

Investment Evaluation and Partnership Selection Model in the Offshore Wind Power Underwater Foundations Industry

With a plan to achieve a target of 5.7 GW offshore wind power capacity in 2025, Taiwan anticipates building a 36-billion USD industry, which makes Taiwan a center of attention in the global marketplace of civil engineering construction. Aimed at Taiwan’s underwater foundations industries, this study is the first to develop an investment evaluation model (IEM) by applying FPR to obtain risk factor weights and calculate the overall investment risk value with a numerical scoring method. In a context where no precedent exists for reference, this study provides auxiliary and supportive tools to help builders to make the decision, based on objective indicators, whether to undertake an investment. To date, no research has been conducted to introduce a reasonable mathematical model that discusses the issue of partner selection in the field of offshore wind power. This study is the first paper to construct a SWARA-FTOPSIS partner selection model, which enables underwater foundations builders to take specific Taiwanese characteristics into account in their selection of the best partners to meet transportation, construction, and installation requirements. Finally, the study uses the case of the Taipower Offshore Wind Power Project (2nd phase) to verify the feasibility of this model.

Partner Selection Strategies in Global Business Ecosystems: Country Images of the Keystone Company and Partner Companies on the Brand Quality Perception

Consumers perceive brand quality from the country of origin of the brand. Global business ecosystems represent multiple countries such as the country of the keystone company and the country of the assembly companies. Thus, the brands of global business ecosystems have multiple countries of origin. This study aims to examine the impacts of the country images of the keystone company and assembly companies on consumers’ brand quality perceptions. In addition, depending on the assembly partner selection strategies of forming a global business ecosystem, the characteristics of the associated countries with the business ecosystem may change. The keystone company may select an assembly partner from a developing country or from a developed country. These two cases are compared to examine the impacts of the combined country images of the keystone and assembly companies. To do so, this study surveys Vietnamese consumers’ perceptions of the brand Hyundai Motor, the country images of South Korea as the country of the keystone company, India as the assembly partner from the developing country, and USA as the assembly partner from the developed country. The collected data were analyzed using a structural equations modeling method and results are discussed with theoretical and managerial implications.

Integrating Business, Social, and Environmental Goals in Open Innovation through Partner Selection

Although collaborative networks (CN) are widespread in academia and have come to be even more used in corporations all over the world, they still face several challenges on behalf of the new product development (NPD) context, especially in regard to the selection of the CN’s right partner. This becomes even more evident when it comes to promoting sustainable development goals within a CN’s activities, by selecting the right partners with a wide consensus from a CN’s management board, avoiding, therefore, the subjectivity around managers’ perception of a CN’s partner selection. Therefore, this work attempts to answer this problem, by presenting a soft-computing-based framework, to support the managers’ board on partner search and selection. The method presented here is further assessed by using a case study, based on the development of a green product, where, according to the obtained results, it is demonstrated that the proposed approach is extremely effective for partner selection, by assessing and prioritizing each candidate involved. The most suitable candidate that fulfills the CN’s requirements is then selected to be integrated as a future partner.