供应链中联盟控制与合作绩效的关系 :知识转移和联盟风险的中介作用研究

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供应链中联盟控制与合作绩效的关系 :知识转移和联盟风险的中介作用研究

 

Author: 阎江
Yan, Jiang
Title: 供应链中联盟控制与合作绩效的关系 :知识转移和联盟风险的中介作用研究
Gong ying lian zhong lian meng kong zhi yu he zuo ji xiao de guan xi :zhi shi zhuan yi he lian meng feng xian de zhong jie zuo yong yan jiu
The relationship between alliance control and cooperative performance in supply chain : a mediation study of knowledge transfer and alliance risk
Degree: D.Mgt.
Year: 2010
Subject: Hong Kong Polytechnic University -- Dissertations
Telecommunication -- Management
Strategic alliances (Business)
Physical distribution of goods -- Management
Department: Graduate School of Business
Pages: xiii, 152 p. : charts ; 30 cm.
InnoPac Record: http://library.polyu.edu.hk/record=b2394232
URI: http://theses.lib.polyu.edu.hk/handle/200/5999
Abstract: This thesis is devoted to an empirical study of supply-chain alliance in the telecommunication industries, especially from the perspective of a mobile telecommunication operator. Alliance control and its impact on cooperation performance have been an important aspect of corporate strategic management, and an effective mechanism linking alliance control to cooperation performance is of high practical and theoretical interests. As a result, there has been a growing volume of studies on strategic alliance and cooperation, of which most are pertinent to manufacturing sector and are treating interrelation between alliance control and cooperation performance as a "black box". With the first-hand data and experience in the telecommunication operator (a service provider), this thesis focuses on an empirical study of the mechanism between alliance control and cooperation performance, particularly from the perspective of supply chain alliance in telecommunication industries, so that the "black-box" between the alliance control and cooperation performance can be revealed. The results of the study can be useful for other industries as well. Telecommunication industry is known for its unique characteristics of non-manufacturing type and short life cycle and fast progression and evolution. The specific assets of a complicated and very large telecommunication network which is developed by telecommunication operator to underpin a strong partnership between telecommunication operator and its equipment suppliers who are of manufacturing type. So far, studies on alliance control have focused on manufacturing industries, which can hardly be applicable to the telecommunication industry and similar service industries. This dissertation is devoted to the study of alliance control applicable to telecommunication, mainly focusing on the following issues: 1) What factors and measures of alliance control are critical and significant in influencing cooperation performance, and how? 2) What are effective alliance control policies that a telecommunication operator should adopt to optimize the effectiveness of strategic alliance between the equipment supplier and the operator.
Based on the direct experience and knowledge of telecom service industry, relevant theories and literatures are reviewed, and then empirical models are developed, specifically for the comprehensive study of the alliance control pertinent to telecom service industries. With reference to the data and reports of other studies on alliance, a set of measures and scales are amended and developed to facilitate the empirical study herein. Before the full scale of survey and data collection, the newly developed measures and scales are reviewed and pretested with the existing data available at China Mobile and related sources accessible. Then, comprehensive data collection and survey are conducted, including: questionnaires sent to both China mobile (i.e., the largest mobile telecom operator in the world) and its main equipment suppliers. The proposed empirical models are validated and tested through comprehensive data analysis of the survey data study, and the main findings are highlighted as follows: 1. A model on how alliance control influences cooperation performance is developed for the first time, and two mediation variables, namely, knowledge transfer and risk (include formal risk and social risk) between alliance control and cooperation performance, are introduced and tested in the study. Knowledge transfer is found to be a critical positive factor that can be used to improve cooperation performance, because it is helpful for the firms in the alliance to acquire necessary knowledge, so as to improve its competitive advantage. Risk is found to have a negative effect on cooperation performance, so cooperation performance can be improved through reducing risk by the alliance control. Risk control is helpful to reduce opportunistic behavior in alliance on the one side, and it can also be used to strengthen the fit of strategy and culture between the two sides, so that the cooperation condition can be changed for the better and cooperation performance can be improved eventually. Knowledge transfer and risk management are particularly important in fast- progressive telecommunication industry. 2. The effective alliance control policies are empirically identified this study. Risk in alliance is very complicated, consisting of not only relational risk which comes from opportunism behavior of cooperation partner, but also performance risk which comes from the short of capability of cooperation partner and unfit of strategy, organization and culture between the two sides in alliance. It is found in this study that in telecom service industry, a formal control is effective in reducing relational risk, and social control is effective in reducing both relational risk and performance risk and it can also be used to improve knowledge transfer at the same time. Comparing to manufacturing industries where formal control plays the central role, social control plays as important, if not more, of a role in developing a long-term alliance in short-life-cycle and fast- progressive telecommunication industry. 3. Multiple sets of data of strategic alliance are collected from two different types of sources, i.e., one from China mobile and the other from its suppliers. Different types of data are analyzed by using different methods separately so that the application of research method can be enriched and theory can be better supported and tested. Specifically, structural equation model is used to test the operator part of the proposed model by using the data from China mobile, and pseudo-unrelated regression method is used to test the supplier part of the proposed model by using the data from the suppliers. The results of test with the data from the two sources both support the hypotheses and theory of the proposed model.

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