Matching Items (117)
149953-Thumbnail Image.png
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
151950-Thumbnail Image.png
Description
Social media offers a powerful platform for the independent digital content producer community to develop, disperse, and maintain their brands. In terms of information systems research, the broad majority of the work has not examined hedonic consumption on Social Media Sites (SMS). The focus has mostly been on the organizational

Social media offers a powerful platform for the independent digital content producer community to develop, disperse, and maintain their brands. In terms of information systems research, the broad majority of the work has not examined hedonic consumption on Social Media Sites (SMS). The focus has mostly been on the organizational perspectives and utilitarian gains from these services. Unlike through traditional commerce channels, including e-commerce retailers, consumption enhancing hedonic utility is experienced differently in the context of a social media site; consequently, the dynamic of the decision-making process shifts when it is made in a social context. Previous research assumed a limited influence of a small, immediate group of peers. But the rules change when the network of peers expands exponentially. The assertion is that, while there are individual differences in the level of susceptibility to influence coming from others, these are not the most important pieces of the analysis--unlike research centered completely on influence. Rather, the context of the consumption can play an important role in the way social influence factors affect consumer behavior on Social Media Sites. Over the course of three studies, this dissertation will examine factors that influence consumer decision-making and the brand personalities created and interpreted in these SMS. Study one examines the role of different types of peer influence on consumer decision-making on Facebook. Study two observes the impact of different types of producer message posts with the different types of influence on decision-making on Twitter. Study three will conclude this work with an exploratory empirical investigation of actual twitter postings of a set of musicians. These studies contribute to the body of IS literature by evaluating the specific behavioral changes related to consumption in the context of digital social media: (a) the power of social influencers in contrast to personal preferences on SMS, (b) the effect on consumers of producer message types and content on SMS at both the profile level and the individual message level.
ContributorsSopha, Matthew (Author) / Santanam, Raghu T (Thesis advisor) / Goul, Kenneth M (Committee member) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2013
157422-Thumbnail Image.png
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
156517-Thumbnail Image.png
Description
Health is among the most basic needs of the people and driving force of social and economic development. The health nutrition & wellness industry is gradually becoming a global sunrise industry . However, the industry is faced many problems and challenges including weaknesses in the industry structure, fragmentations of supply

Health is among the most basic needs of the people and driving force of social and economic development. The health nutrition & wellness industry is gradually becoming a global sunrise industry . However, the industry is faced many problems and challenges including weaknesses in the industry structure, fragmentations of supply chain, low

efficiency in resources allocation, and lacking in quality on personnel training. To achieve core competitiveness and value creation, it is important that the health nutrition & wellness industry must meet the needs of Chinese market and its customers with a customer centric perspective to design a firm’s organization strucrture and management processes. This thesis is based on an analysis of the competitive landscape faced by the nutrition & wellness industry as exemplified by By-Health.Ltd. The investigation begins with an analysis and synthsis of the common industry practices on sales & distribution channels for their underlying similarities and differences in product strategies, branding strategies, and agency models on incentive design and profit sharing mechanisms. Through an empirical survey, this thesis also investigate customer’s demand for nutritious and healthy products. The results through factor analysis reveal that such demands are driven by individual factor, product factor, enterprise factor and environmental factor. The study concludes with a proposed framework to link customer value through three innovative designs in sales and distribution: community marketing model, sharing marketing model and Internet factory marketing model.
ContributorsGong, Binghui (Author) / Pei, Ker-Wei (Thesis advisor) / Cui, Haitao (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2018
157177-Thumbnail Image.png
Description
Due to the growing popularity of the Internet and smart mobile devices, massive data has been produced every day, particularly, more and more users’ online behavior and activities have been digitalized. Making a better usage of the massive data and a better understanding of the user behavior become at the

Due to the growing popularity of the Internet and smart mobile devices, massive data has been produced every day, particularly, more and more users’ online behavior and activities have been digitalized. Making a better usage of the massive data and a better understanding of the user behavior become at the very heart of industrial firms as well as the academia. However, due to the large size and unstructured format of user behavioral data, as well as the heterogeneous nature of individuals, it leveled up the difficulty to identify the SPECIFIC behavior that researchers are looking at, HOW to distinguish, and WHAT is resulting from the behavior. The difference in user behavior comes from different causes; in my dissertation, I am studying three circumstances of behavior that potentially bring in turbulent or detrimental effects, from precursory culture to preparatory strategy and delusory fraudulence. Meanwhile, I have access to the versatile toolkit of analysis: econometrics, quasi-experiment, together with machine learning techniques such as text mining, sentiment analysis, and predictive analytics etc. This study creatively leverages the power of the combined methodologies, and apply it beyond individual level data and network data. This dissertation makes a first step to discover user behavior in the newly boosting contexts. My study conceptualize theoretically and test empirically the effect of cultural values on rating and I find that an individualist cultural background are more likely to lead to deviation and more expression in review behaviors. I also find evidence of strategic behavior that users tend to leverage the reporting to increase the likelihood to maximize the benefits. Moreover, it proposes the features that moderate the preparation behavior. Finally, it introduces a unified and scalable framework for delusory behavior detection that meets the current needs to fully utilize multiple data sources.
ContributorsLi, Chunxiao (Author) / Gu, Bin (Thesis advisor) / Chen, Pei-Yu (Committee member) / Xiong, Hui (Committee member) / Arizona State University (Publisher)
Created2019
157237-Thumbnail Image.png
Description
Recognizing that CEOs are less capable of diversifying their employment risks than shareholders who could diversify their investment risks through portfolio investments, agency theory assumes that CEOs tend to be risk averse compared with shareholders. Based on this assumption, agency theory scholars suggest that to align the risk preference of

Recognizing that CEOs are less capable of diversifying their employment risks than shareholders who could diversify their investment risks through portfolio investments, agency theory assumes that CEOs tend to be risk averse compared with shareholders. Based on this assumption, agency theory scholars suggest that to align the risk preference of CEOs with that of shareholders, CEOs need to be closely monitored and have less power. SEC regulators have been adopting the suggestion and accordingly CEO power has been reduced in the past decades. However, the empirical results are mixed and cannot provide solid support for the suggestion that reducing CEO power could lead the CEO to take more risks.

Considering that managerial risk taking is an important issue in strategic management research and agency theory has been widely adopted in academia and business worlds, it is imperative to clarify the mechanism behind the relationship between CEO power and risk taking. My study aims to fill this research gap. In this study I follow agency theory to take an employment security perspective and fully consider how CEOs’ concern about employment security is affected by their power and ownership structure to enrich the understanding of the effects of CEO power and ownership structure on risk taking. I fine-tune the key concept CEO power into the CEO power over board and introduce a key aspect of ownership structure - nontransient investor ownership. I further suggest that CEO power over board and nontransient investor ownership affect CEOs’ employment security and the resulting CEO risk taking. In addition, I consider a set of industry and firm characteristics as the boundary conditions for the effects of CEO power and nontransient investor ownership on CEO risk-taking. This set of industry and firm characteristics include industry complexity, industry dynamism, industry munificence and firm slack.

I test my theory using a large-scale, multi-year sample of U.S. publicly listed S&P 1500 firms between 2001 and 2017. My main hypotheses about the effects of CEO power over board and nontransient investor ownership on CEO risk taking receive strong support.
ContributorsZhu, Qi (Author) / Shen, Wei (Thesis advisor) / Zhu, David (Thesis advisor) / Certo, Trevis (Committee member) / Arizona State University (Publisher)
Created2019
157596-Thumbnail Image.png
Description
Two-sided online platforms are typically plagued by hidden information (adverse selection) and hidden actions (moral hazard), limiting market efficiency. Under the context of the increasingly popular online labor contracting platforms, this dissertation investigates whether and how IT-enabled monitoring systems can mitigate moral hazard and reshape the labor demand and supply

Two-sided online platforms are typically plagued by hidden information (adverse selection) and hidden actions (moral hazard), limiting market efficiency. Under the context of the increasingly popular online labor contracting platforms, this dissertation investigates whether and how IT-enabled monitoring systems can mitigate moral hazard and reshape the labor demand and supply by providing detailed information about workers’ effort. In the first chapter, I propose and demonstrate that monitoring records can substitute for reputation signals such that they attract more qualified inexperienced workers to enter the marketplace. Specifically, only the effort-related reputation information is substituted by monitoring but the capability-related reputation information. In line with this, monitoring can lower the entry barrier for inexperienced workers on platforms. In the second chapter, I investigate if there is home bias for local workers when employers make the hiring decisions. I further show the existence of home bias from employers and it is primarily driven by statistical inference instead of personal “taste”. In the last chapter, I examine if females tend to have a stronger avoidance of monitoring than males. With the combination of the observational data and experimental data, I find that there is a gender difference in avoidance of monitoring and the introduction of the monitoring system increases the gender wage gap due to genders differences in such willingness-to-pay for the avoidance of monitoring. These three studies jointly contribute to the literature on the online platforms, gig economy and agency theory by elucidating the critical role of IT-enabled monitoring.
ContributorsLiang, Chen, Ph.D (Author) / Gu, Bin (Thesis advisor) / Hong, Yili (Thesis advisor) / Chen, Peiyu (Committee member) / Arizona State University (Publisher)
Created2019
157089-Thumbnail Image.png
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
157090-Thumbnail Image.png
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
Description近年来,金融领域各行业采用和移动互联网技术相结合的方式,发展异常迅猛。金融科技率先催生了近4万家P2P网络借贷平台,这些平台在利用移动金融技术与主流传统银行竞争的过程中,占据了大量技术和市场优势。结合我国农村商业银行发展现状,如果农商行能够有效利用移动金融技术优势,则其运营成本或会降低,获客效率、服务多样性等或将得以有效提升,从而使其竞争力得以提高, 更好地服务农民、农村和农业经济。本文旨在系统地探究以手机银行APP为代表的移动金融科技对农商行行间竞争力影响。

本文搜集了全国84家农商行APP数据,定量地从业务覆盖范围、增值服务全面性、易用性、安全性、系统稳定性等五个维度对APP给出综合质量评分,并采用层次分析法给出各农商行竞争力排名。在系统地分析银行竞争力与其APP质量、发布时间、更新次数等相关关系后,总体发现APP质量对银行竞争力至关重要。具体地,排名下降的农商行的年均更新次数与排名变化正相关,也即年均更新次数越多的银行,排名上升越多;而对排名上升的农商行,年均更新次数与排名变化则呈现负相关。竞争力排名上升的农商行,其APP平均发布时间与排名变化呈正相关,而竞争力排名下降的农商行的平均发布时间与排名变化则呈负相关。

进一步地,基于《中国商业银行竞争力报告》中对农商行的排名,本文进一步分析了移动金融科技对不同规模的农商行竞争力排名影响。研究发现:对于资产规模较大(>1000亿元)的农商行,APP年平均更新次数较多的银行,往往竞争力排名有所提高。而对于中等及小资产规模的农商行而言,APP年平均更新次数较多的银行,往往竞争力排名有所下降。对于较大和较小规模的农商行,APP平均发布时间长反而会降低银行竞争力,而对于中等规模的农商行,较长的平均发布时间下,其竞争力会有所提高。

最后,针对本文定量的研究模型和实证数据,本文给出了具体研究结论及展望,并就如何提高农村商业银行竞争力,给出了建议方法以及相关政策性建议。
ContributorsHuang, Darong (Author) / Gu, Bin (Thesis advisor) / Chen, Son-Nan (Thesis advisor) / Li, Xiaoyang (Committee member) / Arizona State University (Publisher)
Created2019