中国跨国企业跨文化冲突战略模型及管理方案研究

本书以2019年公开发行 的纪录片《美国工厂》为研 究对象，以霍夫斯泰德的文 化维度理论和托马斯－基尔 曼冲突管理模式为理论基础 ，通过定性分析和深度访谈 ，对发生在福耀美国公司的 跨文化冲突进行研究，明确 了该冲突凸显的11个问题和 涉及到的五个文化维度，分 析了福耀公司采取的五种冲 突管理策略，确定了选择跨 文化冲突策略的衡量标准和 长短期定位，进而制定了具 体的跨文化冲突战略管理计 划和应对策略，为其他中国 跨国公司管理跨文化冲突提 供了有效的借鉴。

古玉芳，1978年生，山西省侯马市人。Baliuag University工商管理博士，现为湖北工程学院外国语学院讲师，湖北省翻译工作者协会会员，湖北小微企业发展研究中心成员，湖北工程学院跨文化研究中心成员，主要研究方向为跨文化管理。在SCI期刊及国内核心期刊发表专业学术论文多篇，主持及参与湖北省省厅级科研及教改课题多项。

Chapter 1 Introduction 1.1 The Problem and Its Background 1.2 Objectives of the Study 1.3 Significance of the Study 1.3.1 For the Management of Fuyao Group 1.3.2 For the Workforce of FGA and Fuyao Group 1.3.3 For Dayton Authorities and Other Local Governments of America 1.3.4 For Other Chinese Multinational Enterprises 1.3.5 For Investors or Companies which Intend to Expand Their Business to China 1.3.6 For Researchers Who are Interested in Chinese Culture 1.3.7 For Scholars Interested in Cross-Cultural Study 1.3.8 For Researchers Who are Engaged in Cross-Cultural Management (CCM) 1.4 Review of Related Literature 1.4.1 Culture 1.4.2 Culture Distance 1.4.3 Conflict, Workplace Conflict and Cultural Conflict 1.4.4 Conflict Management and Conflict Management Strategies 1.4.5 Cross-Cultural Management (CCM) 1.4.6 Cross-Cultural Management (CCM) Models 1.4.7 Cross-Cultural Conflict Management Strategies 1.4.8 Study on the Cross-Cultural Conflict of FGA 1.4.9 Lived Experience 1.5 Frameworks 1.5.1 Theoretical Framework 1.5.2 Conceptual Framework 1.6 Statement of the Problem 1.7 Definition of Terms 1.7.1 Conflict 1.7.2 Cross-Cultural Conflict 1.7.3 Cross-Cultural Management (CCM) 1.7.4 Culture 1.7.5 Culture Distance 1.7.6 Fuyao Glass America Inc. (FGA) 1.7.7 Fuyao Glass Industry Group Co., Ltd. (Fuyao Group) 1.7.8 Globalization 1.7.9 Hofstede's Cultural Dimensions 1.7.10 Lived Experience 1.7.11 Thomas and Kilmann's Conflict Model 1.8 Scope and Delimitation of the Study Chapter 2 Methodology 2.1 Study Design 2.2 Participants and Sampling Procedures 2.3 Instrument of the Study 2.4 Data Gathering Procedure 2.5 Data Analysis 2.5.1 Get Familiarized with the Primary Data 2.5.2 Divide the Data into Meaning Units 2.5.3 Formulate Codes 2.5.4 Develop Categories 2.5.5 Develop Themes