Alliance Partner Selection Research Articles

Data Processing in Real Estate Industry for Selection of Strategic Alliance Partner for Real Estate Enterprise

Strategic alliance of real estate enterprise is the strategic choice responds to the current market environment and pursue sustainable development in real estate industry.While,the scientific selection of partner is the start and the key to success for establishing strategic alliance.Combination empowerment method and cloud model is introduced to the selection of strategic alliance partner for real estate enterprise.With the help of corresponding technology and equipment,through a series of data processing for data collection,processing, transformation and transmission proves the method can be used more effective in practice of the selection of strategic alliance partner for real estate enterprise.

Emergency Dynamic Alliance Partner Selection Based on Adaptive Genetic Algorithm

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.

Enterprise Risk Management: Re-Conceptualizing the Role of Risk and Trust on Information Sharing in Transnational Alliances

ABSTRACTGlobalization places greater emphasis on the development of transnational alliances. The greatest benefits from alliances are derived from high-level information sharing, but vulnerability escalates with information sharing. This study examines risk in transnational alliances based on a theoretical model drawing from enterprise risk management (ERM) as a strategic management effort. This theoretical model posits that ERM strategies focus on business risk as the primary determinant of alliance partner selection and continuity, particularly within global relationships, whereas prior management control research focused on trust. The purpose of this study is to examine the influence of ERM on risk and trust associated with transnational alliances and the resulting impact on interorganizational information sharing. Survey data are gathered from 200 senior-level managers monitoring transnational alliances. Structural equation modeling is used to test the hypothesized relationships. Results provide strong support for the research model, showing that high ERM is associated with decreased risk, increased trust, and enhanced information sharing. Given the ongoing debate over the relationship directionality between trust and risk, we conducted additional sensitivity testing. Competing models focusing on trust as the key control mechanism are tested to assess the strength of our research model. Our risk-oriented research model demonstrates stronger explanatory power than competing models. Overall, our results show ERM substantially alters strategic management of transnational alliances, and has become a major influence on interorganizational risk, trust, and information sharing.

A Fast Searching Approach for Top-k Partner Selection in Dynamic Alliances of Virtual Enterprises

The success of supply chain management largely depends on establishing the partnership in dynamic alliance. In the past, many researches focus on selection of indexes and establish selection model according to the indexes. In order to speed up the process of selection, this paper introduces this optimized idea of Top-k into the selection of partner and classifies the original indexes. The paper presents algorithm of OP (Optimize Procedure) based on specific index and the experiment shows that these algorithms can efficiently improve the process of selecting partners. Furthermore, the paper also presents an algorithm of IMOP (Improve Optimize Procedure) based on OP algorithm. It can effectively overcome the false alarm rate of the OP algorithm and improve the accuracy of partner selection.

To Ally or Not to Ally with Firms Having Lower Environmental Reputations

Strategic alliance partner selection is a complex process, where trade-off decisions on prospective partners’ attributes must be made. This paper uses the context of environmental reputation asymmetry to explore trade-off dynamics, scarcely dealt with in the literature. More specifically, I examine how CEOs (the main decision makers) reason on whether to decide to ally with a lower-reputation partner, and facilitating factors. Through a multiple-case approach, I find that initiating firms to alliances anticipate changes in partner firms’ reputations. The prospective partner’s propensity to improve is introduced as a core construct; it is proposed to significantly affect the focal firm’s trade-off willingness in the alliance formation situation. My data also reveal some determinants and dynamics in contrast with the ‘learning race’ perspective, suggesting that firms underutilize alliances as a means to enhance their environmental performance at lower cost.

Environmental uncertainty affects inter-organisational partner selection: The mediating role of cost and strategy in alliance motivations among SMEs

AbstractThis paper investigate the degree to which environment uncertainty affects inter-organisational alliance partner selection in small to medium-sized enterprises and blends the resource-based view in a multiple-mediator model in which different dimensions of alliance motivation (cost and strategy) act as mediating mechanisms that transmit the positive effects of environment uncertainty to partner selection criteria. Four hypotheses are developed and then tested on a survey data sample of 108 firms in the Taiwanese steel industry. Our research findings show the mediating effects of alliance motivation cost and strategy and understanding how environment uncertainty impacts alliance motivation (cost and strategy) within small to medium-sized enterprises.

Does CSR Matter for Alliance formation? The Role of Capability Complementarity and Institutions

Alliance formation has been a major research stream in the strategy literature. Firms ally to reduce transaction costs, leverage their network positions, enhance their legitimacy, and access complementary resources. This paper highlights the role of firm-level social responsibility capabilities as important criteria for alliance partner selection. We argue that, holding other factors constant, the fit between the social responsibility capabilities of firms will enhance the likelihood of alliance formation. Furthermore, we discuss the effect of institutional factors that affect this likelihood.

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

It is generally understood that firm strategy is linked to both internal firm resources and external, competitive industry forces. More recently, studies have suggested that firm strategy is also influenced by the formal and informal institutions of the institutional environment. Culture and commercial conventions represent important informal institutions – the norms and values shared by a group of individuals – whereas more formal institutions include the regulatory, economic, and political forces in the environment. We explore the effects of formal and informal institutions on strategic alliance partner preferences in Mainland China, Taiwan, and Hong Kong. Although the three share a broad lineage, their institutional development differs in some respects. Utilizing a policy capturing study, we explore alliance preferences of senior managers from each of the three economies to demonstrate how similarities and differences in the institutional environment can produce variation in alliance partner preferences. This paper contributes empirically by comparing alliance partner preferences in three different ethnic Chinese communities in East Asia. We add to the nascent but growing literature on institutions and strategy, with practical implications for understanding alliance partner preferences of managers in China, Taiwan, and Hong Kong, which represent major centers of strategic alliance activity.

Modelling critical elements of selection for strategic alliance partner for network managed services using interpretive structural modelling (ISM)

Purpose – The aim of this paper is to investigate and model the issue of selection of strategic alliance partner for managing and implementation of an operations and maintenance centre for a large telecom service provider under a managed services contract. The alliance shall enhance capabilities of the telecom value chain. Design/methodology/approach – Experts of the domain participated in a brainstorming session to list out the key elements, followed by series of individual interviews. Key insights were finally obtained by developing an interpretive structural modelling (ISM) model for the set of elements so obtained. Findings – This paper illustrates the development of an ISM model for the evaluation of a strategic alliance partner in telecom operator space. Further, key elements of the model are classified into four categories, namely autonomous, driver, dependent, and linkage. This classification helps to understand their relative impact on the selection process. Practical implications – Telecom servi...

A Theory Model of the Existence Stable Measure for the Industrial Technology Innovation Strategy Alliance

This paper aims to establish a existence stable measure model. Use Alliance building, partner selection, the benefit and risk sharing, legal guarantee and policy guidance for one class index. Looking for data sources by Delphi method and questionnaire method and using the entropy weight method to Process those data. Through the model application can sum up the developing experience and provide reference for the Industrial technology innovation strategy alliances future development

Costs of partner search and selection in strategic alliances

This study examines the costs associated with alliance partner search and selection as well as their antecedents. Based on transaction cost economics and the network perspective on inter-organizational relationships, the findings drawing on survey-based data from a sample of 83 firms in the German telecommunications industry reveal that partner search and selection costs are closely connected but differentially affected by task- and company-related factors. When firms must make alliance-specific investments, search and selection costs increase. A firm’s number of current alliances decreases search and selection costs, whereas neither alliance scope nor firm performance significantly affect them. Additional analyses show that alliance-specific investments especially increase search costs but do not affect selection costs, whereas a firm’s performance decreases search costs but does not reduce selection costs.

Bringing the Institutional Context Back In: A Cross-National Comparison of Alliance Partner Selection and Knowledge Acquisition

We suggest that firms' national institutional environments alter the logic of alliance partner selection and associated knowledge acquisition. We posit that cross-national variations in corporatist institutional structures (which reflect differences in underlying cooperative norms) influence the relative importance that firms place on a prospective partner's social value (evidenced from the partner's connectedness with members of its industry) and technological value (reflected in the technological complementarity and novelty of the partner's knowledge). We expect that as prospective partners' technological value increases, the probability of alliance formation increases the most for firms residing in less corporatist countries. Likewise, as prospective partners' social value increases, the probability of alliance formation increases the most for firms in more corporatist countries. We further argue that norms regarding knowledge acquisition within an alliance vary across countries, with deliberate learning approaches serving as the norm in less—not more—corporatist settings. We expect that such differences will lead to more immediate interpartner knowledge acquisition in less corporatist environments. Analysis of a longitudinal cross-national data set of alliances in the emergent fuel cell technology industry supports our arguments. Our findings highlight the significance of particular national institutions in specific organizational domains and the complementarity between institutional theory and other strategic resource-based perspectives in the context of interorganizational alliances.

The role of partnering factors in international learning alliance success

Recent empirical findings and conceptual work point to the importance of partnering-related criteria in dyadic learning-alliance outcomes. Consistent with existing research on alliance partner selection, and building on the literature from organisational learning, knowledge transfer, alliances and international management, this paper develops a new multi-component model of key partnering factors linked to dyadic international learning-alliance outcomes. In order to delineate the model, we develop propositions with the aim of identifying a set of partnering-related criteria that can be used by firms to evaluate potential international learning partners and by future researchers to measure and examine the achievement of learning outcomes. We also fill a literature gap by proposing interpartner harmony as a potential mediator in the relationships between these partnering factors and learning outcomes.

Institutional Distance and Partner Selection in International Technological Alliances (WITHDRAWN)

This study posits that institutional distance has a negative influence on partner selection in international technological alliances. Empirical results based on a dataset of firms in the global tire industry confirm that firms prefer technological partners from closer cognitive, normative and regulatory environments. Moreover, the analysis indicates that formal (economic treaties) and informal (colonial past) historical ties, and focal firm size moderate positively this relationship through different institutional channels.

The relationship between service oriented alliance motivation, partner selection, alliance performance and market performance on logistics MNEs in China

The relationship between service oriented alliance motivation, partner selection, alliance performance and market performance on logistics MNEs in China

Technological standard alliance in China: partner selection and innovation performance

PurposeThe purpose of this paper is to find the relationship between alliance partner selection and innovation performance of technological standard alliance in China.Design/methodology/approachThe authors designed the selection factors of alliance partners in terms of reputation, compatibility and technological standardization ability and, based on the empirical research data, analyzed the correlation between partner selection and innovation performance using the method of cross validation statistically.FindingsIt was found that the selection of alliance partners would directly affect the operation and management of technological standard alliance in China. Appropriate partners among technological standard alliance will play a significant role in improving partners' independent innovation capability. The empirical results showed that potential cooperative partners' reputation, compatibility and standardization ability had an obvious effect on innovation performance.Originality/valueThe paper finds and verifies the key index of alliance partner selection. This result can provide some important references for managers when selecting appropriate cooperative partners. Technological standard alliance managers can evaluate potential cooperative partners according to the index of reputation, technological standardization ability and compatibility designed in this paper. High‐tech firms can cultivate their cooperative innovation ability to adapt to the demands of technological standard alliance according to the key index.

Best-fit Alliance Partners: The Use of Critical Success Factors in a Comprehensive Partner Selection Process

Firms increasingly form alliances to access needed capabilities, gain knowledge and seek competitive advantage. Strategic alliance partner selection is a critical aspect of successful alliance development; even superior alliance management may not be sufficient to overcome poor initial partner screening and selection efforts. Prior partner selection research has typically focused on generic, conceptual motivations for alliances, addressing only some pieces of the partner selection puzzle; in addition, previous research has been static and has not presented a way to operationalize partner selection analysis. This paper presents a new conceptual comprehensive partner selection framework that includes dynamic partner selection considerations. In addition, a new analytical partner selection tool is presented to illustrate how firms can operationalize their partner selection analysis process. Developed and tested with input from over two hundred alliance managers, the comprehensive partner selection framework includes new perspectives and an analysis of four critical alliance partner selection criteria, or critical success factors (CSFs): task-related CSFs — factors that facilitate or inhibit the successful completion of desired alliance objectives; learning-related CSFs — critical, desired attributes in potential alliance partners that enhance learning outcomes; partnering-related CSFs — relational factors that can enhance or inhibit how the alliance unfolds and therefore affect its outcomes; and risk-related CSFs — factors that arise from the interdependent nature of alliances, which are often neglected in practice. Where aspects of these CSFs have been omitted from analysis during initial partner selection, alliance managers tell us of a litany of issues, challenges and failures that they have been forced to address, many of which might have been avoided altogether with greater diligence up front. We embed these four sets of criteria within a comprehensive partner selection framework and provide guidelines, examples and a specific methodology designed to help managers address the complexities involved in developing their own, unique partner selection criteria and processes.

An Extensive Group Decision Methodology for Alliance Partner Selection Problem in Collaborative Networked Organisations

More and more companies address collaborations and cooperation as strategic topics to build competitive networks and broaden the global competences provided by the community thus created. These companies can cooperate with partners to share resources, competences, risks, or costs. Besides, penetrating new markets can be easier when associating new partners. The selection process of an adequate partner considered for a specific objective is a key success factor. This paper proposes an evaluation methodology for selecting an alliance partner in the case of a network of enterprises, manufacturing high precision mechanical components. An extensive group decision methodology is developed using both quantitative data and qualitative judgments in the evaluation of criteria. Since some performances cannot be represented with crisp numbers, the proposed methodology allows experts to use linguistic variables to express their judgments for the assessment of qualitative criteria. Two main phases are integrated in this methodology. In the first phase, criteria and experts weightings are calculated to determine the criteria importance using fuzzy the analytical hierarchy process. In the second phase, a technique for order preference by similarity to ideal solution is proposed to rank the different alternatives, corresponding to the alternative partnerships.

An Integrated Fuzzy Approach for Strategic Alliance Partner Selection in Third-Party Logistics

Outsourcing some of the logistic activities is a useful strategy for companies in recent years. This makes it possible for firms to concentrate on their main issues and processes and presents facility to improve logistics performance, to reduce costs, and to improve quality. Therefore provider selection and evaluation in third-party logistics become important activities for companies. Making a strategic decision like this is significantly hard and crucial. In this study we proposed a fuzzy multicriteria decision making (MCDM) approach to effectively select the most appropriate provider. First we identify the provider selection criteria and build the hierarchical structure of decision model. After building the hierarchical structure we determined the selection criteria weights by using fuzzy analytical hierarchy process (AHP) technique. Then we applied fuzzy technique for order preference by similarity to ideal solution (TOPSIS) to obtain final rankings for providers. And finally an illustrative example is also given to demonstrate the effectiveness of the proposed model.

Developing an integrated model for the selection of strategic alliance partners in the airline industry

This study proposes a hybrid model to help airlines select suitable partners for strategic alliances. The model addresses the interdependency and feedback effects between criteria and alternatives by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP). Decision-makers may hold diverse opinions and preferences due to incomplete information, differences in knowledge or simply inherent conflicts between various departments. This can make it difficult to judge the importance of the selection criteria. To remedy the problem we further apply Fuzzy Preference Programming (FPP) to integrate the different expert opinions. The proposed model can help practitioners improve their decision making process, especially when criteria and alternatives are numerous and inter-related. The method is demonstrated using data from a Taiwanese airline. Specific companies can easily extend this generic model to address their individual needs.