Matching Items (132)
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Description克服外来者劣势是提高新兴市场企业国际化绩效的关键,本文从高管团队构建视角出发,采用多案例比较研究,提炼了新兴市场企业在国际化进程中实施高管团队构建的过程模型,并分析了不同模式与不同阶段的国际化推进机制。新兴市场企业国际化的高管团队构建将经历“配置-适应-融合”三个阶段,配置是企业根据国际化基础与扩张需求选拔内外部高管的阶段,适应是内外部高管成员互动、交流并进行成员动态调整的阶段,融合是内外部高管成员合为一体、形成新组织结构与组织制度的阶段。同时,根据高管团队的核心领导力量的不同分为“内部适应模式”与“外部培育模式”。内部适应模式下,企业从内部选拔具备创业精神与学习适应能力的管理者作为内派高管,并在国际市场引入兼具专业特长与综合管理能力的海外高管,通过内派高管持续学习吸收海外高管的经验知识,最终形成以内派团队为领导核心,实现战略一致、分工有效、利益协同的国际化经营团队。其中,内派团队的创业精神、学习适应能力、沟通协调能力是提高国际化绩效的关键。外部培育模式下,企业在具有国际出口基础的市场上选拔具备创业意愿、专业能力与行业声誉的海外高管,并在内外部团队并行发展的过程中,有意识地促进双方融合并培育海外高管的创业能力,最终形成以海外高管为领导核心,实现战略协同、资源互补、愿景一致的国际化经营团队。其中,海外高管的创业意愿与沟通协作能力是实现团队融合的关键。 此外,在不同高管团队构建阶段,外来者劣势缓解与国际化绩效提升的机制有显著差异。配置阶段,高管特征与国际扩张战略诉求匹配是提升团队绩效的关键;适应阶段,国际身份塑造、社会网络扩张与新能力构建是提高企业国际化绩效的关键;融合阶段,合作机制与治理机制等制度优化是实现团队融合与国际化持续扩张的关键。 本研究基于高管团队构建视角提炼了不同国际化经验基础的企业实现高管团队构建的动态过程模型,丰富了新兴市场企业国际化、高管团队构建等理论研究,为面临国际扩张的新兴市场企业提供一定启示。
ContributorsLiu, Quan (Author) / Shen, Wei (Thesis advisor) / Shi, Weilei (Thesis advisor) / Yan, Hong (Committee member) / Arizona State University (Publisher)
Created2023
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Description本文基于我国2006-2020年间IPO的上市公司上市当年的样本数据,研究了IPO视角下大股东控制权结构对上市公司盈利成长性的影响效应及影响机制。首先从机理上探讨了大股东控制权结构对上市公司盈利成长性的影响效应、中介机制和调节机制,并相应地构建了本文的三个研究假说。接下来,本文构建了证研究框架,具体包括模型构建、变量选择与数据选取三方面。最后,进行实证分析以验证本文的三个研究假说。通过实证研究,本文发现:首先,大股东控制权结构对上市公司盈利成长性存在显著影响,具体表现为大股东控制权中直接持股比重越高,上市公司盈利成长性则越低;第二,在大股东控制权中直接持股比重对上市公司盈利成长性的负影响中,存在着来自公司主营业务投入的负向中介效应,约占总影响效应的0.162;第三,在大股东控制权中直接持股比重对上市公司盈利成长性的负影响中,还存在着来自公司主营业务利润的负向调节作用,并且在考虑调节作用后,大股东控制权中直接持股比重对上市公司盈利成长性的直接影响不再显著;第四,大股东控制权中直接持股比重对上市公司盈利成长性的影响效应及其具体作用机制主要存在于制造业公司中,而在非制造业公司中并不明显。 最后,基于研究结论,本文从上市公司治理的角度提出两点提升公司盈利成长性的对策建议:一是上市公司尤其是制造业上市公司,在经营管理中应适度引入外部投资机构;二是上市公司在经营管理过程中应注重于主营业务的发展。
ContributorsLuo, Xuan (Author) / Shen, Wei (Thesis advisor) / Cheng, Shijun (Thesis advisor) / Jiang, Zhan (Committee member) / Arizona State University (Publisher)
Created2023
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Description

One of the most promising technologies for creating power without emissions is Solid Oxide Fuel Cells (SOFC) because it uses oxygen and hydrogen to create electricity with the only byproduct being water. To figure out the optimal design of the fuel cell, a literature review was conducted to determine the

One of the most promising technologies for creating power without emissions is Solid Oxide Fuel Cells (SOFC) because it uses oxygen and hydrogen to create electricity with the only byproduct being water. To figure out the optimal design of the fuel cell, a literature review was conducted to determine the effects of adding both internal and external current collectors as well as the difference length has on the performance. To learn more about the kinetics of the reaction, hydrogen and carbon monoxide disappearance rates were measured to compare the rate at which each species disappears.

ContributorsPhillips, Kristina (Author) / Milcarek, Ryan (Thesis director) / Wang, Robert (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor)
Created2022-05
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Description随着信息通信技术在金融科技领域中得到广泛应用,传统金融机构依靠互联网技术极大的提升了自己的金融服务能力和金融服务效率。但与此同时,作为一个新兴业态,与互联网金融服务配套的法律制度和保障措施还未完善,特别是互联网借贷业务,贷前的风控系统不完善,同时还缺乏贷后管理机制,造成了网络贷款平台不断出现爆雷现象。仅2018年7月一个月内就有200多家平台出现问题,而到2020年底为止,出现问题的在线借贷平台高达80%。为了更好的保障在线借贷平台和互联网金融行业的健康发展,亟需完善个人征信体系建设,科学评估借款人违约风险。为了解决这一问题,本文首先对现有研究进行了理论梳理,找到可能对违约风险产生影响的因素,并总结为个人特征、社交网络特征、金融特征等三方面的因素。在这之后,从社交网络特征对违约风险进行了深入分析。其次,利用大数据分析方法,构建了随机森林信用评价模型。最后,文章还通过与不同数据集上的相同模型、相同数据集上的不同模型进行对比,对本文构建模型的有效性进行了评估。 研究结论表明:(1)用户的社交网络特征对用户违约风险、欺诈等级具有一定的解释力度,其中用户通话类社交特征对用户欺诈等级的识别效果最好,其次为风险等级,违约标签的识别效果最差,而且用户的地域特征对社交网络特征有显著的调节作用。(2)通过随机森林模型,本文发现年龄、贷款金额是影响客户违约风险和欺诈等级的最重要的因素。(3)比较多元回归模型和随机森林模型,随机森林模型对样本用户特征重要性探索的准确度要高于多元回归模型。 根据上述结论,本文提出了相应了建议:(1)在线借贷平台在判断用户违约风险时,应该在现有的分析框架中考虑用户社交特征来提升用户风险预测精度;(2)信贷公司应该将随机森林等方法纳入到用户是否违约、风险等级和欺诈等级的预测中,这样会显著的提升公司对用户违约、欺诈等级的预测精度。
ContributorsHan, Wei (Author) / Shen, Wei (Thesis advisor) / Hu, Jie (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Vanadium-dioxide-based devices show great switchability in their optical properties due to its dramatic thermochromic phase transition from insulator to metal, but generally have concerns due to its relatively high transition temperature at 68 °C. Doping the vanadium dioxide with tungsten has been shown to reduce its transition temperature at the

Vanadium-dioxide-based devices show great switchability in their optical properties due to its dramatic thermochromic phase transition from insulator to metal, but generally have concerns due to its relatively high transition temperature at 68 °C. Doping the vanadium dioxide with tungsten has been shown to reduce its transition temperature at the cost lower optical property differences between its insulating and metallic phases. A recipe is developed through parametric experimentation to fabricate tungsten-doped vanadium dioxide consisting of a novel dual target co-sputtering deposition, a furnace oxidation process, and a post-oxidation annealing process. The transmittance spectra of the resulting films are measured via Fourier-transform infrared spectroscopy at different temperatures to confirm the lowered transition temperature and analyze their thermal-optical hysteresis behavior through the transition temperature range. Afterwards, the optical properties of undoped sputtered vanadium films are modeled and effective medium theory is used to explain the effect of tungsten dopants on the observed transmittance decrease of doped vanadium dioxide. The optical modeling is used to predict the performance of tungsten-doped vanadium dioxide devices, in particular a Fabry-Perot infrared emitter and a nanophotonic infrared transmission filter. Both devices show great promise in their optical properties despite a slight performance decrease from the tungsten doping. These results serve to illustrate the excellent performance of the co-sputtered tungsten-doped vanadium dioxide films.
ContributorsChao, Jeremy (Author) / Wang, Liping (Thesis advisor) / Wang, Robert (Committee member) / Tongay, Sefaattin (Committee member) / Arizona State University (Publisher)
Created2022
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Description在我国绩效管理领域,国内企业目前大多仅适用客观评价指标,而往往忽略了更有弹性的主管评价等主观评价指标。但在世界范围内,随着绩效管理理论的不断发展,以平衡计分卡(BSC)为代表的新型绩效管理体系管理范围更加广泛,除了客观业绩之外,还将很多主观指标也纳入绩效评价系统内,并且得到了诸多跨国公司的引用。为了探究以主管评价为代表的主观指标与客观业绩之间的关系,本文以R公司为例,基于其内部的实际数据,分析了员工业绩与主管评价之间的相互关系。研究发现,员工历史客观业绩与主管评价呈正相关关系,且相较于员工长期客观业绩,这种关系在员工短期业绩中更加明显。基于此,研究还发现,主管历史评价与员工后期的客观业绩也呈正相关关系,且相较于前期主管评价,这种关系在当期主管评价中更加明显。除此之外,本文还发现主管和员工的性别差别和学历差别会同时减弱上述员工业绩与主管评价之间的正相关关系。综上,本文研究结果为企业设计和制定绩效考核标准提供了一定的参考,有助于企业更好地进行绩效体系的构建。
ContributorsJin, Tao (Author) / Shen, Wei (Thesis advisor) / Chang, Chun (Thesis advisor) / Wu, Fei (Committee member) / Arizona State University (Publisher)
Created2022
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Description自雇司机是公路货运司机中比例人数最多、最基层的一员,他们在公路物流行业中扮演着极为重要的角色,他们承担着各种来源的压力。本文以疫情前后按揭购买卡车的自雇司机为研究样本,基于本研究收集到的独特数据,研究发现自雇卡车司机在面临按揭压力时,倾向采取更为激进的经营及驾驶行为,表现为更少的休息天数、更长的工作时长以及更危险的高速驾驶行为,并在一系列稳健性检验中基本结论仍然存在;基于新冠疫情事件研究发现,新冠疫情带来的非预期性经济停摆和收入中断,导致疫情前的发生的按揭贷款的卡车司机面临更强的还款压力,在经济恢复后面对按揭压力更有可能采用激进的经营和驾驶行为;进一步,通过机制检验研究本文发现这种按揭压力主要表现为担心当前或者未来发生不能及时偿还按揭款。再者,基于人格性征和家庭支持的调节效应检验,本文发现神经质人格特征、谨慎尽责性人格特征以及工作压力感没有在按揭压力与自雇卡车司机激进的经营和驾驶选择上起到调节作用,这可能是自雇卡车司机面临的按揭压力都很大,个体性格特征很大程度无法缓和其压力感,而家庭的支持和家庭-工作平衡可以有效缓解自雇卡车司机面临按揭压力时提高工作时长和危险驾驶行为的倾向。 最后,本文设计一项随机对照干预实验,向自雇卡车司机发送短息或者微信,提醒他们避免疲劳驾驶和危险超速驾驶,然后观察发送短信微信前后自雇卡车司机经营及驾驶行为的变化,识别考察外界积极主动的关心和提醒能否起到相应的后果。本文发现对自雇卡车司机获得外部主动积极地的关心和提醒,在面临按揭压力时意识到简单地减少休息增加运营时长以及采用危险驾驶行为抢时间的策略可能给其带来很大的风险,从而相应地缓解对按揭压力的过度反应;进一步调节作用检验表明,短信干预实验在神经质和谨慎尽责性人格司机中起到更大的减缓作用,同时家庭支持较少时短信干预实现效应也更为明显。
ContributorsMa, Liqun (Author) / Shen, Wei (Thesis advisor) / Wu, Fei (Thesis advisor) / Zhang, Zhen (Committee member) / Arizona State University (Publisher)
Created2021
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Description
This research aims to identify optimal pin fin shapes that minimize flow pressuredrop and maximize heat transfer performance while investigating the influence of genetic algorithm (GA) parameters on these shapes. The primary goal is to discover innovative pin fin configurations through the use of a GA, moving away from traditional circular cylindrical designs.

This research aims to identify optimal pin fin shapes that minimize flow pressuredrop and maximize heat transfer performance while investigating the influence of genetic algorithm (GA) parameters on these shapes. The primary goal is to discover innovative pin fin configurations through the use of a GA, moving away from traditional circular cylindrical designs. The study also examines GA parameters, including population size, generation size, selection methods, crossover rates, tournament size, and elite counts. A physical condition considered in this study is a rectangular channel with a square cross-section integrated with 10 pin fins, operating at a Reynolds number of 2316, and subjected to a heat flux of 5 W/cm2 at the bottom surface. Overall, the research seeks to enhance the energy efficiency of a liquid cooling system, with potential applications in the thermal management of computing devices. By enabling operating at significantly lower power, the optimized cooling system promises to reduce energy consumption and operational costs.
ContributorsKim, Ji Yeon (Author) / Kwon, Beomjin (Thesis advisor) / Wang, Robert (Committee member) / Huang, Huei-Ping (Committee member) / Arizona State University (Publisher)
Created2024
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Description
On January 30, 2019, the China Securities Regulatory Commission issued the Implementation Opinions on the Establishment of the Science and Technology Innovation Board on the Shanghai Stock Exchange and the Pilot Registration-based System, announcing the establishment of a new Science and Technology Innovation Board(STAR). The STAR Market is an important

On January 30, 2019, the China Securities Regulatory Commission issued the Implementation Opinions on the Establishment of the Science and Technology Innovation Board on the Shanghai Stock Exchange and the Pilot Registration-based System, announcing the establishment of a new Science and Technology Innovation Board(STAR). The STAR Market is an important measure in China's capital market reform, aiming to promote the transformation of China's economy from a stage of rapid growth to a stage of high-quality development. The companies listed on the Science and Technology Innovation Board are mainly scientific and technological innovation enterprises that are at the forefront of the world's science and technology, the main battlefield of the economy, and the major needs of the country, in line with the national strategy, breaking through key core technologies, and with high market recognition. Since its launch on July 22, 2019, to May, 15, 2023, there are 522 companies have been listed on the STAR Market, with a total market capitalization of more than RMB 7 trillion. The successful listing of these enterprises will provide strong support for the deep integration of China's high-tech industries and strategic emerging industries.This paper analyzes the influencing factors of IPO listing pricing on the STAR Market, and studies 1478 companies listed on the three listing platforms of the STAR Market, ChiNext and Hong Kong stocks. Through descriptive statistical analysis and multivariate regression model, the influencing factors of the 1st day and the 20th day were empirically studied. The results of the study will provide a pricing reference for ii listed companies in the future, and provide a reference for policymakers to meet the expectations of the new regulatory reforms. Through analysis of multiple factors includes but not limited as the NR,IPE, LEAD, ISCA, T10, AOL, BC, STL, RDI, CAGR, DTOR, these influencing factors have an important impact on the IPO of the STAR Market.
ContributorsHuang, Danyang (Author) / Shen, Wei (Thesis advisor) / Cheng, Shijun (Thesis advisor) / Jiang, Zhan (Committee member) / Arizona State University (Publisher)
Created2024
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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

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