ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
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- All Subjects: Influencing factors
- All Subjects: 战略成效
- Creators: Shen, Wei
Description中国水环境行业当前正处在以质量驱动、效率提升为主导的发展阶段，为积极响应国家政策以及环境发展导向，平衡公众日益增长的公共品需求同公共品短缺、低效之间的矛盾，抓住市场发展机遇，提高企业市场竞争中的核心能力，水环境行业必须要明确资本驱动、效率导向、服务标准提高要求下的价值流方向，加快行业发展动力的创新改革。因此，本文立足政府充分授权下的水环境企业战略联盟模式（具体体现为BOT模式）影响因素研究，包括如下几部分内容：
第一，界定政府充分授权下水环境企业战略联盟内涵，分析其形成的理论基础、水环境企业战略联盟的类型、发展差异性及战略联盟动因。通过梳理战略联盟理论国内外研究现状回顾及评述，提出政府充分授权下水环境企业战略联盟模式研究的主要问题。
第二，探索政府充分授权下水环境企业战略联盟模式的影响因素。通过对水环境基础设施战略联盟项目合同关键内容的深入分析，识别出政府充分授权下水环境企业战略联盟模式的关键影响因素。
第三，实证分析各关键因素对政府充分授权下水环境企业战略联盟模式效果的影响。运用回归分析方法对项目规模、政府政策、监督管理、激励机制、风险分配和投资回报对联盟模式效果的影响进行实证检验，验证了各影响因素对政府充分授权下水环境企业战略联盟模式效果的正向作用。
最后，对政府充分授权下水环境企业战略联盟模式影响因素及作用研究的结论进行总结。
第一，界定政府充分授权下水环境企业战略联盟内涵，分析其形成的理论基础、水环境企业战略联盟的类型、发展差异性及战略联盟动因。通过梳理战略联盟理论国内外研究现状回顾及评述，提出政府充分授权下水环境企业战略联盟模式研究的主要问题。
第二，探索政府充分授权下水环境企业战略联盟模式的影响因素。通过对水环境基础设施战略联盟项目合同关键内容的深入分析，识别出政府充分授权下水环境企业战略联盟模式的关键影响因素。
第三，实证分析各关键因素对政府充分授权下水环境企业战略联盟模式效果的影响。运用回归分析方法对项目规模、政府政策、监督管理、激励机制、风险分配和投资回报对联盟模式效果的影响进行实证检验，验证了各影响因素对政府充分授权下水环境企业战略联盟模式效果的正向作用。
最后，对政府充分授权下水环境企业战略联盟模式影响因素及作用研究的结论进行总结。
ContributorsLi, Zhensheng (Author) / Pei, Ker-Wei (Thesis advisor) / Yu, Xiaoyun (Thesis advisor) / Shen, Wei (Committee member) / Arizona State University (Publisher)
Created2019
Description中国自80年代以来随着改革开放和经济发展潮流，一批批本土企业快速成长，已经从单一主业壮大成熟，完成资本积累并快速朝多元化、规模化发展。截止到2019年中国有129家企业进入世界500强，而该数量在2011年为69家 ，2005年为18家。这一数据反映了中国大型集团的增长速度之快、数量之多令人刮目相看。
然而，大型企业集团在经营规模上的庞大并不能掩盖其管理水平的低下与尴尬，这一点从多数企业的规模和利润比率就可窥见一斑。从战略管理角度看，集团企业在单一主业上的业务战略管理水平（竞争战略）经过30多年的发展和沉淀已经相对成熟，在某一行业领域也发展沉淀了很多成熟的职业经理人和专业人才。但是，国内至今很少有多元化集团战略管理（公司层面战略）的专题研究，且在多元化集团战略管理实践方面缺少经验和积累。多元化集团战略及管理领域的研究具有重要的现实意义和学术价值。
公司层面战略的研究起始于20世纪50年代，现有研究领域以西方学者为主，涉及公司层面战略的诸多领域，比如分部化、一般管理技能共用、协同效应、多元化、业务组合规划、基于价值的规划、重组、核心竞争力和资源共享、母合优势等全新和具有全球影响力的母公司管理概念。本文涉及的多元化集团公司战略三要素：母公司管理机制、业务组合、母子公司管控及子公司之间联接之前有西方学者作为独立课题都曾研究过，但作为整体性研究较少。中国目前研究该公司层面战略成果较少，市场上从事该领域的咨询机构也很少，少数咨询公司业务以多元化集团战略管控咨询方面为主。本文将从多元化集团母公司心智图对公司层面战略成效影响的研究作为核心内容，这项研究在中国乃至在世界范围内尚属初步尝试。
母公司心智图代表了某一时期多元化集团核心决策层的战略管理思维水平现状，是核心决策层对多元化集团公司战略三个核心要素及其相互关系的认知和掌握程度的集中体现。母公司心智图水平的测量可以从核心决策层的构成合理性及成员背景、核心决策层对行业及业务组合的认知水平、核心决策层对对母公司管理机制的认知水平、核心决策层对母子公司之间的联接及影响的认知水平以及核心决策层对多元化集团战略管理的综合能力水平这五个维度，共15个指标进行测量，总分100分。掌握了母公司的心智图就能够识别整个公司战略管理的现状及逻辑。母公司心智图决定了母公司管理机制、母子公司的联接影响方式（母公司如何影响和联接旗下业务）和业务组合（公司资金和管理的投向），而这三个核心要素的决策决定了公司层面战略的成效。母公司心智图的水平将很大程度上正面影响公司的战略成效。
本文将深入针对具有三个不同心智图水平的多元化集团进行案例分析，分别研究不同的母公司心智图水平如何通过影响业务组合决策、母公司管理机制建设、母子公司联接进而影响公司的战略成效。
关键词: 多元化集团、母公司心智图、心智图测量、公司层面战略管理三支柱、战略成效
然而，大型企业集团在经营规模上的庞大并不能掩盖其管理水平的低下与尴尬，这一点从多数企业的规模和利润比率就可窥见一斑。从战略管理角度看，集团企业在单一主业上的业务战略管理水平（竞争战略）经过30多年的发展和沉淀已经相对成熟，在某一行业领域也发展沉淀了很多成熟的职业经理人和专业人才。但是，国内至今很少有多元化集团战略管理（公司层面战略）的专题研究，且在多元化集团战略管理实践方面缺少经验和积累。多元化集团战略及管理领域的研究具有重要的现实意义和学术价值。
公司层面战略的研究起始于20世纪50年代，现有研究领域以西方学者为主，涉及公司层面战略的诸多领域，比如分部化、一般管理技能共用、协同效应、多元化、业务组合规划、基于价值的规划、重组、核心竞争力和资源共享、母合优势等全新和具有全球影响力的母公司管理概念。本文涉及的多元化集团公司战略三要素：母公司管理机制、业务组合、母子公司管控及子公司之间联接之前有西方学者作为独立课题都曾研究过，但作为整体性研究较少。中国目前研究该公司层面战略成果较少，市场上从事该领域的咨询机构也很少，少数咨询公司业务以多元化集团战略管控咨询方面为主。本文将从多元化集团母公司心智图对公司层面战略成效影响的研究作为核心内容，这项研究在中国乃至在世界范围内尚属初步尝试。
母公司心智图代表了某一时期多元化集团核心决策层的战略管理思维水平现状，是核心决策层对多元化集团公司战略三个核心要素及其相互关系的认知和掌握程度的集中体现。母公司心智图水平的测量可以从核心决策层的构成合理性及成员背景、核心决策层对行业及业务组合的认知水平、核心决策层对对母公司管理机制的认知水平、核心决策层对母子公司之间的联接及影响的认知水平以及核心决策层对多元化集团战略管理的综合能力水平这五个维度，共15个指标进行测量，总分100分。掌握了母公司的心智图就能够识别整个公司战略管理的现状及逻辑。母公司心智图决定了母公司管理机制、母子公司的联接影响方式（母公司如何影响和联接旗下业务）和业务组合（公司资金和管理的投向），而这三个核心要素的决策决定了公司层面战略的成效。母公司心智图的水平将很大程度上正面影响公司的战略成效。
本文将深入针对具有三个不同心智图水平的多元化集团进行案例分析，分别研究不同的母公司心智图水平如何通过影响业务组合决策、母公司管理机制建设、母子公司联接进而影响公司的战略成效。
关键词: 多元化集团、母公司心智图、心智图测量、公司层面战略管理三支柱、战略成效
ContributorsChen, Guoping (Author) / Shen, Wei (Thesis advisor) / Zhang, Anmin (Thesis advisor) / Wu, Shin-Yi (Committee member) / Arizona State University (Publisher)
Created2020
Description
Over the past two decades, propelled by urbanization, domestic investment and construction of commercial complexes have rapidly accelerated. This has led to a dramatic expansion of these complexes with swift operational iterations and related data changes. The impact of changing domestic and international financial policies, along with political environments, has seen e-commerce gradually seize the middle and low-end retail markets. Additionally, the global spread of the COVID-19 pandemic in the last three years has resulted in a substantial slowdown in domestic economic growth. Despite this, there is still developmental potential, prompting unprecedented attention to corporate investment and commercial operations.However, acquiring basic operational data in commerce is challenging, with inconsistent measurement standards among enterprises, hindering accurate and systematic judgments of operational performance. The factors influencing the operational performance of commercial complexes in China remain inadequately researched.At this juncture, the scientific measurement of commercial complex operational performance is crucial for their healthy development. This study explores the relationship between enterprise investment behavior, operational management behavior, and commercial complex operational performance. It measures influencing factors using resource configuration theory to control uncontrollable environmental factors, such as urban hierarchy, surrounding population, per capita GDP, surrounding commercial inventory and increment, and location planning support. Dynamic capability theory is then applied to investigate the impact of variables like the number of leases, area, brands, lease cost income, marketing activity types, activity funds, and activity time on operational performance. A model is established to analyze operational performance, contrasting significant variables before and after the pandemic, identifying factors affecting operational performance in early-stage investment and later-stage management strategies. Post-pandemic adjustments are suggested to adapt to changing environmental conditions.In the empirical research section, this paper validates the theoretical model through data analysis, studying the volatility of operational performance based on factors influencing commercial complexes. Integrating theoretical backgrounds, it analyzes investment and management strategies for enterprises in different situations, emphasizing key indicators. This provides enterprises with better choices for future projects and empowers commercial complex managers for effective future management, enhancing operational performance. The study offers a theoretical basis and guidance for promoting the healthy development of the market.
ContributorsHuang, Ke (Author) / Shen, Wei (Thesis advisor) / Zhu, Qigui (Thesis advisor) / Hu, Yu (Committee member) / Arizona State University (Publisher)
Created2024
Description
With the continuous development of the Chinese capital market over the past thirty years, the securities analyst industry has experienced a process of transformation from a reckless period to a golden time. One of the most important signals is that securities analysts are increasingly conducting research report providing long-term earnings forecasts for the company. However, current research on analysts is limited to their short-term forecasting behavior, and there is little on analysts' long-term earnings forecasts. Therefore, this article takes the research on analysts' long-term forecast reports issued by analysts on A-share listed companies, and conducts an empirical study on the analysts' forecasts accuracy and its influencing factors. First, the author combed the research literature related to analyst forecasts and selected variables from three dimensions, including company characteristics (financial indicators and non-financial indicators), analyst characteristics and affiliated institution characteristics; secondly, considering the high-dimensionality of the influencing factors, this paper uses the method of combining machine learning and traditional regression to conduct empirical research; finally, the research tested the heterogeneity of influencing factors from two perspectives, including time and industry.The results of this article show that the long-term profit forecasts of analysts in China have advantages over traditional statistical models. More than 60% of analysts
provide profit forecasts that are better than statistical models. Afterwards, when examining the factors that affected the accuracy of analysts’ forecasts, it found that although analyst and institutional characteristics affected analysts’ predictions to a certain extent, company characteristics are the most important variables among them all. As the time goes by, the influence of non-financial factors on forecast accuracy gradually decreasing, but analyst characteristics continue to strengthen. In addition, cyclical industries are more difficult to predict than companies in non-cyclical industries, and the difficulty of prediction will not be reduced with the analyst efforts. This research can help analysts optimizing their forecasting behavior and prompts investors to understand analysts' reports more deeply, which makes them using analyst forecast data to make investment decisions in a rationally ways, and it can also help to promote the securities pricing efficiency and development of Chinese capital market.
ContributorsRao, Gang (Author) / Shen, Wei (Thesis advisor) / Yan, Hong (Thesis advisor) / Hu, Jie (Committee member) / Arizona State University (Publisher)
Created2024