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Description
In accordance with the Principal Agent Theory, Property Right Theory, Incentive Theory, and Human Capital Theory, firms face agency problems due to “separation of ownership and management”, which call for effective corporate governance. Ownership structure is a core element of the corporate governance. The differences in ownership structures thus may

In accordance with the Principal Agent Theory, Property Right Theory, Incentive Theory, and Human Capital Theory, firms face agency problems due to “separation of ownership and management”, which call for effective corporate governance. Ownership structure is a core element of the corporate governance. The differences in ownership structures thus may result in differential incentives in governance through the selection of senior management and in the design of senior management compensation system. This thesis investigates four firms with four different types of ownership structures: a public listed firm with the controlling interest by the state, a public listed firm with a non-state-owned controlling interest, a public listed firm a family-owned controlling interest, and a Sino-foreign joint venture firm. By using a case study approach, I focus on two dimensions of ownership structure characteristics – ownership diversification and differences in property rights so as to document whether there are systematic differences in governance participation and executive compensation design. Specifically, I focused on whether such differences are reflected in management selection (which is linked to adverse selection and moral hazard problems) and in compensation design (the choices of performance measurements, performance pay, and in stock option or restricted stock). The results are consistent with my expectation – the nature of ownership structure does affect senior management compensation design. Policy implications are discussed accordingly.
ContributorsGao, Shenghua (Author) / Pei, Ker-Wei (Thesis advisor) / Li, Feng (Committee member) / Shen, Wei (Committee member) / Arizona State University (Publisher)
Created2015
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Description
Like individual organisms, complex social groups are able to maintain predictable trajectories of growth, from initial colony foundation to mature reproductively capable units. They do so while simultaneously responding flexibly to variation in nutrient availability and intake. Leafcutter ant colonies function as tri-trophic systems, in which the ants harvest vegetation

Like individual organisms, complex social groups are able to maintain predictable trajectories of growth, from initial colony foundation to mature reproductively capable units. They do so while simultaneously responding flexibly to variation in nutrient availability and intake. Leafcutter ant colonies function as tri-trophic systems, in which the ants harvest vegetation to grow a fungus that, in turn, serves as food for the colony. Fungal growth rates and colony worker production are interdependent, regulated by nutritional and behavioral feedbacks. Fungal growth and quality are directly affected by worker foraging decisions, while worker production is, in turn, dependent on the amount and condition of the fungus. In this dissertation, I first characterized the growth relationship between the workers and the fungus of the desert leafcutter ant Acromyrmex versicolor during early stages of colony development, from colony foundation by groups of queens through the beginnings of exponential growth. I found that this relationship undergoes a period of slow growth and instability when workers first emerge, and then becomes allometrically positive. I then evaluated how mass and element ratios of resources collected by the ants are translated into fungus and worker population growth, and refuse, finding that colony digestive efficiency is comparable to digestive efficiencies of other herbivorous insects and ruminants. To test how colonies behaviorally respond to perturbations of the fungus garden, I quantified activity levels and task performance of workers in colonies with either supplemented or diminished fungus gardens, and found that colonies adjusted activity and task allocation in response to the fungus garden size. Finally, to identify possible forms of nutrient limitation, I measured how colony performance was affected by changes in the relative amounts of carbohydrates, protein, and phosphorus available in the resources used to grow the fungus garden. From this experiment, I concluded that colony growth is primarily carbohydrate-limited.
ContributorsClark, Rebecca, 1981- (Author) / Fewell, Jennifer H (Thesis advisor) / Mueller, Ulrich (Committee member) / Liebig, Juergen (Committee member) / Elser, James (Committee member) / Harrison, Jon (Committee member) / Arizona State University (Publisher)
Created2011
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Description
The theme for this work is the development of fast numerical algorithms for sparse optimization as well as their applications in medical imaging and source localization using sensor array processing. Due to the recently proposed theory of Compressive Sensing (CS), the $\ell_1$ minimization problem attracts more attention for its ability

The theme for this work is the development of fast numerical algorithms for sparse optimization as well as their applications in medical imaging and source localization using sensor array processing. Due to the recently proposed theory of Compressive Sensing (CS), the $\ell_1$ minimization problem attracts more attention for its ability to exploit sparsity. Traditional interior point methods encounter difficulties in computation for solving the CS applications. In the first part of this work, a fast algorithm based on the augmented Lagrangian method for solving the large-scale TV-$\ell_1$ regularized inverse problem is proposed. Specifically, by taking advantage of the separable structure, the original problem can be approximated via the sum of a series of simple functions with closed form solutions. A preconditioner for solving the block Toeplitz with Toeplitz block (BTTB) linear system is proposed to accelerate the computation. An in-depth discussion on the rate of convergence and the optimal parameter selection criteria is given. Numerical experiments are used to test the performance and the robustness of the proposed algorithm to a wide range of parameter values. Applications of the algorithm in magnetic resonance (MR) imaging and a comparison with other existing methods are included. The second part of this work is the application of the TV-$\ell_1$ model in source localization using sensor arrays. The array output is reformulated into a sparse waveform via an over-complete basis and study the $\ell_p$-norm properties in detecting the sparsity. An algorithm is proposed for minimizing a non-convex problem. According to the results of numerical experiments, the proposed algorithm with the aid of the $\ell_p$-norm can resolve closely distributed sources with higher accuracy than other existing methods.
ContributorsShen, Wei (Author) / Mittlemann, Hans D (Thesis advisor) / Renaut, Rosemary A. (Committee member) / Jackiewicz, Zdzislaw (Committee member) / Gelb, Anne (Committee member) / Ringhofer, Christian (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Land management practices such as domestic animal grazing can alter plant communities via changes in soil structure and chemistry, species composition, and plant nutrient content. These changes can affect the abundance and quality of plants consumed by insect herbivores with consequent changes in population dynamics. These population changes can translate

Land management practices such as domestic animal grazing can alter plant communities via changes in soil structure and chemistry, species composition, and plant nutrient content. These changes can affect the abundance and quality of plants consumed by insect herbivores with consequent changes in population dynamics. These population changes can translate to massive crop damage and pest control costs. My dissertation focused on Oedaleus asiaticus, a dominant Asian locust, and had three main objectives. First, I identified morphological, physiological, and behavioral characteristics of the migratory ("brown") and non-migratory ("green") phenotypes. I found that brown morphs had longer wings, larger thoraxes and higher metabolic rates compared to green morphs, suggesting that developmental plasticity allows greater migratory capacity in the brown morph of this locust. Second, I tested the hypothesis of a causal link between livestock overgrazing and an increase in migratory swarms of O. asiaticus. Current paradigms generally assume that increased plant nitrogen (N) should enhance herbivore performance by relieving protein-limitation, increasing herbivorous insect populations. I showed, in contrast to this scenario, that host plant N-enrichment and high protein artificial diets decreased the size and viability of O. asiaticus. Plant N content was lowest and locust abundance highest in heavily livestock-grazed fields where soils were N-depleted, likely due to enhanced erosion and leaching. These results suggest that heavy livestock grazing promotes outbreaks of this locust by reducing plant protein content. Third, I tested for the influence of dietary imbalance, in conjunction with high population density, on migratory plasticity. While high population density has clearly been shown to induce the migratory morph in several locusts, the effect of diet has been unclear. I found that locusts reared at high population density and fed unfertilized plants (i.e. high quality plants for O. asiaticus) had the greatest migratory capacity, and maintained a high percent of brown locusts. These results did not support the hypothesis that poor-quality resources increased expression of migratory phenotypes. This highlights a need to develop new theoretical frameworks for predicting how environmental factors will regulate migratory plasticity in locusts and perhaps other insects.
ContributorsCease, Arianne (Author) / Harrison, Jon (Thesis advisor) / Elser, James (Thesis advisor) / DeNardo, Dale (Committee member) / Quinlan, Michael (Committee member) / Sabo, John (Committee member) / Arizona State University (Publisher)
Created2012
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Description冷链物流主要是指食品在生产到消费者食用前始终处于适宜的温度环境,以保障食品品质、降低流通过程中的损耗。冷链物流相比于传统物流而言是一项更复杂的系统性工程,受到政策和市场需求的影响呈现迅猛发展态势。但是,冷链物流企业长期以来因规模小、固定资产少、服务范围窄、服务规范性弱而发展困难重重,核心问题是资金的问题。政府引导和鼓励打造冷链物流产业园,推动产业园投资和建设主体打造平台,实现对园区内冷链企业的聚集效应并通过金融服务解决企业发展的资金问题。通过产融结合助力冷链物流企业发展,成为目前冷链物流行业发展的主要方式和未来趋势。

本研究聚焦冷链物流产业园金融服务助力冷链物流企业发展问题,主要研究内容包括:第一,基于产融结合理论,梳理冷链物流企业与产业园之间关系,从供需两侧探索冷链物流企业和产业园的金融服务的范围、类型和特点。第二,基于平台理论,构建冷链物流企业采纳产业园金融服务的研究模型,探索金融服务影响冷链物流企业的经营因素,分析冷链物流企业采纳产业园金融服务的因素和途径。第三,基于信息不对称理论,关切信息技术支持和知识分享在冷链物流企业采纳产业园提供金融服务过程中的调节作用。同时,梳理产业园提供金融服务可能面临哪些风险,制订冷链物流企业入驻园区的标准,防范风险。

本文运用实证研究方法,通过对国内18家冷链物流相关的产业园、物流园、冷链物流、商贸流通、金融等企业实地考察和专家访谈基础上,拟定问卷并对268家企业进行调查收集数据,使用结构方程模型进行假设检验。研究发现:金融服务的有形性、可靠性、移情性、经济性对冷链物流企业采纳产业园金融服务影响显著,而响应性的影响不显著。同时

信息技术支持和知识共享的调节作用不显著。最后,针对产业园吸引冷链物流企业提供金融服务、冷链物流企业采纳产业园金融服务的风险,提出防范策略措施。
ContributorsYang, Su (Author) / Shen, Wei (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2019
Description
The greatest barrier to understanding how life interacts with its environment is the complexity in which biology operates. In this work, I present experimental designs, analysis methods, and visualization techniques to overcome the challenges of deciphering complex biological datasets. First, I examine an iron limitation transcriptome of Synechocystis sp. PCC

The greatest barrier to understanding how life interacts with its environment is the complexity in which biology operates. In this work, I present experimental designs, analysis methods, and visualization techniques to overcome the challenges of deciphering complex biological datasets. First, I examine an iron limitation transcriptome of Synechocystis sp. PCC 6803 using a new methodology. Until now, iron limitation in experiments of Synechocystis sp. PCC 6803 gene expression has been achieved through media chelation. Notably, chelation also reduces the bioavailability of other metals, whereas naturally occurring low iron settings likely result from a lack of iron influx and not as a result of chelation. The overall metabolic trends of previous studies are well-characterized but within those trends is significant variability in single gene expression responses. I compare previous transcriptomics analyses with our protocol that limits the addition of bioavailable iron to growth media to identify consistent gene expression signals resulting from iron limitation. Second, I describe a novel method of improving the reliability of centroid-linkage clustering results. The size and complexity of modern sequencing datasets often prohibit constructing distance matrices, which prevents the use of many common clustering algorithms. Centroid-linkage circumvents the need for a distance matrix, but has the adverse effect of producing input-order dependent results. In this chapter, I describe a method of cluster edge counting across iterated centroid-linkage results and reconstructing aggregate clusters from a ranked edge list without a distance matrix and input-order dependence. Finally, I introduce dendritic heat maps, a new figure type that visualizes heat map responses through expanding and contracting sequence clustering specificities. Heat maps are useful for comparing data across a range of possible states. However, data binning is sensitive to clustering cutoffs which are often arbitrarily introduced by researchers and can substantially change the heat map response of any single data point. With an understanding of how the architectural elements of dendrograms and heat maps affect data visualization, I have integrated their salient features to create a figure type aimed at viewing multiple levels of clustering cutoffs, allowing researchers to better understand the effects of environment on metabolism or phylogenetic lineages.
ContributorsKellom, Matthew (Author) / Raymond, Jason (Thesis advisor) / Anbar, Ariel (Committee member) / Elser, James (Committee member) / Shock, Everett (Committee member) / Walker, Sarah (Committee member) / Arizona State University (Publisher)
Created2017
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Description财富管理是一个高度信息不对称的行业,因此投资人需要尽可能减少自身的不确定来做投资决策,通过文献整理,本文发现通过建立信任来消除不确定性是很多投资人都会选择的帮助投资决策的方法。纵观历史,美国2007-2008年的金融危机也恰恰导致金融市场投资人对于理财机构信任的严重缺失,相同的情况也可能发生在中国财富管理市场,因此本文将此选作研究重点,希望深入研究财富管理公司投资人对理财师的信任来得到一系列结论。本文最终发现就平台和理财师相比,投资人更看重平台的信誉度。 投资人大多认为平台的信誉度要高于理财师的信誉度,但是这并不意味着理财师不重要。本文进一步的分析发现,多数投资人会和理财师建立起一种私人联系,且该私人关系有助于加强客户和平台的联系。投资人认为行业经验、为人诚恳,说话可信以及责任心是加强这种私人关系的重要因素。最后,投资人对于钜派平台的信任主要由对于理财师的信任来维持,同时对于理财师的信任主要来自与情感信任。本文的发现对财富管理平台具有战略意义。
ContributorsWu, Qimin (Author) / Shen, Wei (Thesis advisor) / Chang, Chun (Thesis advisor) / Zhu, Hongquan (Committee member) / Arizona State University (Publisher)
Created2019
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Description摘要

在复杂多变的商业环境中,企业传统的人力资源管理已经难以应对日益频发的员工职业倦怠、人际间矛盾冲突、频繁跳槽等局面与问题。企业员工工作的价值与意义早已不再是传统的雇佣模式下,通过出卖劳动力或智力从而获得工资以实现“养家糊口”的目的那么单纯与简单,员工也希望通过辛勤的工作,以获得个体的幸福感、荣誉感与认同感等。对于现代企业的管理者而言,员工追求事业的提升、个人价值的实现,不仅体现在薪酬、福利待遇的提升,更重要的是员工个人的成长以及潜能和竞争力的提升。

随着组织行为学和心理学的不断发展与演变,与员工幸福感相关的研究备受关注。对现代企业而言,管理者借助制度设计对员工幸福积极管理,可以最大限度地发挥员工的积极性、主动性与创造性,实现员工与企业之间的利益相趋同,从而更为高效地实现组织的目标。基于此,本文以民营企业员工工作幸福感作为研究的切入点,借助理论分析、问卷调查和实证分析相结合的研究方法,系统深入地研究我国民营企业员工工作幸福感的构成、可控前因和绩效后果等问题。

本文研究发现:

第一,员工薪酬的提高有助于员工工作幸福感的提升,薪资对基层员工幸福感的影响显著高于其对高层员工幸福感的影响;

第二,完善的晋升机制对于中层员工而言更能提升其幸福感,完善的晋升机制更有利于中层员工;

第三,公平性的提高有助于提高员工工作幸福感,而且这种正效应更多体现在基层员工群体之中;

第四,高层员工更注重自我价值的实现,高层员工的工作挑战性越高,其自我实现需求获得的满足感则约高,但是对于基层员工和中层员工而言,其效果则恰恰相反,基础员工和高层员工更多地将工作挑战性和压力看作是一种负面的因素;

第五,员工幸福感的确会给企业带来正向的绩效。

本文的研究框架和实证结论不仅可以丰富学术界有关员工工作幸福感的研究,而且为企业管理者进行绩效管理以及员工工作质量的提升提供理论和实证借鉴。
ContributorsShu, Man (Author) / Shen, Wei (Thesis advisor) / Wu, Fei (Thesis advisor) / Chen, Xin (Committee member) / Arizona State University (Publisher)
Created2019
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Description当前,上市公司的盈余管理问题已是我国资本市场中普遍存在的突出问题。一般来说,一些企业为了满足资本市场对于上市、增发等条件的要求,以及为有效推动企业的并购、重组等行为的顺利实现,甚至为了谋求公司管理层的个别利益,往往运用盈余管理等举措实施公司财报及关键指标的粉饰修正,让不知情的股民蒙受一定的损失。普遍分析显示,我国股市中民营企业比其他企业遭遇的问题和压力更多、更大、更突出,因此民营企业从客观上来说拥有更强的盈余管理动机。而从当前我国资本市场的实际情况来看,我国相关专家学者对盈余管理的系统性深入研究,一般都瞄准了上市企业群体或持续亏损企业,对盈余管理的研究不系统、不全面、不深入,这将对我国进一步提升盈余管理监管水平构成一定不利影响。当前,由于我国民企在自身管理及发展动力方面的特殊性,我国民企的管理、盈余管理特点和国外上市公司还存在着很大的不同,进一步深入研究我国民企上市公司自身管理方面的突出特点,以及其对企业盈余管理等方面的深层次影响,有助于监管层对症下药,更有针对性地研究出台全新的监管措施,进一步提升管理水平。这还可以为公司发展的决策层及相关会计信息使用人员提供一定的决策参考, 因此其拥有十分重要的意义。

本文首先认真总结分析了有关上市企业治理结构和盈余管理等方面的历史文献资料,依托当前资本市场上普遍运用的委托代理、内部人控制和契约等理论,系统研究了我国民企上市公司在自身治理结构方面的突出特征以及其对盈余管理方面所构成影响的深层次原理。在此基础上,本文通过2015-2017年我国上市企业数据,基于截面Jones模型对民营企业和非民营企业盈余管理程度进行测算和比较分析,发现民营企业盈余管理程度更高;从四个层面系统研究民企公司自身的治理结构突出特点,设立回归模型论证了民营企业独特的公司治理结构特征对盈余管理程度确实会产生影响;最后,本文进一步利用修正的费尔萨姆一奥尔森估价模型对民营上市公司盈余管理有公司价值的关系进行了验证,发现两者具有显著相关性。
ContributorsChen, Hui (Author) / Shen, Wei (Thesis advisor) / Chang, Chun (Thesis advisor) / Huang, Xiaochuan (Committee member) / Arizona State University (Publisher)
Created2019
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Description中国律师制度自“文化大革命”结束后恢复至今,已有近四十年。中国律师行业伴随着中国改革开放的进程,得到了飞速的发展,当然,同时也面临着诸多的问题。重要的问题之一便是,中国律师事务所采用“加盟制合伙人”模式和采用“权益制合伙人”模式之争。本文试图从回顾企业边界的三大理论出发,提出“加盟制合伙人”模式和 “权益制合伙人”模式与合伙人律师的业务专业化程度、业务复杂化程度以及大客户和律师事务所规模关系的四个假设,通过实证分析的方式,试图以企业边界三大理论解释前述四个假设中的关系,并以此期望对律师行业的发展有所启发。
ContributorsChu, Xiaoqing (Author) / Pei, Ker-Wei (Thesis advisor) / Cheng, Shijun (Thesis advisor) / Shen, Wei (Committee member) / Arizona State University (Publisher)
Created2019