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.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
Displaying 1 - 10 of 22
Filtering by
- All Subjects: Business Administration
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。
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
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.
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
Description
Online product ratings offer consumers information about products. In this dissertation, I explore how the design of the rating system impacts consumers’ sharing behavior and how different players are affected by rating mechanisms. The first two chapters investigate how consumers choose to share their experiences of different attributes, how their preferences are reflected in numerical ratings and textual reviews, whether and how multi-dimensional rating systems affect consumer satisfaction through product ratings, and whether and how multi-dimensional rating systems affect the interplay between numerical ratings and textual reviews. The identification strategy of the observational study hinges on a natural experiment on TripAdvisor when the website reengineered its rating system from single-dimensional to multi-dimensional in January 2009. Rating data on the same set of restaurants from Yelp, were used to identify the causal effect using a difference-in-difference approach. Text mining skills were deployed to identify potential topics from textual reviews when consumers didn’t provide dimensional ratings in both SD and MD systems. Results show that ratings in a single-dimensional rating system have a downward trend and a higher dispersion, whereas ratings in a multi-dimensional rating system are significantly higher and convergent. Textual reviews in MDR are in greater width and depth than textual reviews in SDR. The third chapter tries to uncover how the introduction of monetary incentives would influence different players in the online e-commerce market in the short term and in the long run. These three studies together contribute to the understanding of rating system/mechanism designs and different players in the online market.
ContributorsLiu, Ying (Author) / Chen, Pei-Yu (Thesis advisor) / Hong, Yili (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2018
Description中医药是中华文明的瑰宝，中药材是中医药文化和产业的核心。随着近年来国家相关政策出台，中药材产业的发展备受瞩目。由于中药材产业链条长，层级多，各层级间信息不对称，因而中药材市场普遍具有“假”、“乱”、“杂”的问题。
A公司的中药材全产业链服务商模式，通过对上游各主要专营商的整合，形成一定的平台综合集采能力，并开始得到下游医药厂家、药店认可，在市场逐步形成品牌号召力。本文实证研究A公司商业模式的转型对中药材市场价格的影响，进而分析中药材全产业链服务商模式在中药材行业健康发展中所发挥的积极作用。研究结果表明，上下游产销结合的中药材全产业链服务商模式，只有在形成一定收购规模，对市场价格产生一定影响的时候，才能充分释放药材质量的信号，润滑药材交易市场，提高收购价格，增加市场波动率，发挥价格发现作用。由于中药材市场的信息不对称程度较高，如果产销结合模式仍处于初级开创阶段，产销结合模式释放的药材质量信号则不足以全面改善信息不对称的状况。
A公司的中药材全产业链服务商模式，通过对上游各主要专营商的整合，形成一定的平台综合集采能力，并开始得到下游医药厂家、药店认可，在市场逐步形成品牌号召力。本文实证研究A公司商业模式的转型对中药材市场价格的影响，进而分析中药材全产业链服务商模式在中药材行业健康发展中所发挥的积极作用。研究结果表明，上下游产销结合的中药材全产业链服务商模式，只有在形成一定收购规模，对市场价格产生一定影响的时候，才能充分释放药材质量的信号，润滑药材交易市场，提高收购价格，增加市场波动率，发挥价格发现作用。由于中药材市场的信息不对称程度较高，如果产销结合模式仍处于初级开创阶段，产销结合模式释放的药材质量信号则不足以全面改善信息不对称的状况。
ContributorsYin, Xiaowei (Author) / Shen, Wei (Thesis advisor) / Yan, Hong (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2019
Description
The recent changes in the software markets gave users an unprecedented number
of alternatives for any given task. In such a competitive environment, it is imperative
to understand what drives user behavior. To that end, the research presented in
this dissertation, tries to uncover the impact of business strategies often used in the
software markets.
The dissertation is organized into three distinct studies into user choice and post
choice use of software. First using social judgment theory as foundation, zero price
strategies effects on user choice is investigated, with respect to product features,
consumer characteristics, and context effects. Second, role of social features in
moderating network effects on user choice is studied. And finally, the role of social
features on the effectiveness of add-on content strategy on continued user engagement
is investigated.
The findings of this dissertation highlight the alignments between popular business
strategies and broad software context. The dissertation contributes to the litera-
ture by uncovering hitherto overlooked complementarities between business strategy
and product features: (1) zero price strategy enhances utilitarian features but not
non-utilitarian features in software choice, (2) social features only enhance network
externalities but not social influence in user choice, (3) social features enhance the
effect of add-on content strategy in extending software engagement.
of alternatives for any given task. In such a competitive environment, it is imperative
to understand what drives user behavior. To that end, the research presented in
this dissertation, tries to uncover the impact of business strategies often used in the
software markets.
The dissertation is organized into three distinct studies into user choice and post
choice use of software. First using social judgment theory as foundation, zero price
strategies effects on user choice is investigated, with respect to product features,
consumer characteristics, and context effects. Second, role of social features in
moderating network effects on user choice is studied. And finally, the role of social
features on the effectiveness of add-on content strategy on continued user engagement
is investigated.
The findings of this dissertation highlight the alignments between popular business
strategies and broad software context. The dissertation contributes to the litera-
ture by uncovering hitherto overlooked complementarities between business strategy
and product features: (1) zero price strategy enhances utilitarian features but not
non-utilitarian features in software choice, (2) social features only enhance network
externalities but not social influence in user choice, (3) social features enhance the
effect of add-on content strategy in extending software engagement.
ContributorsKanat, Irfan (Author) / Santanam, Raghu (Thesis advisor) / Vinze, Ajay (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2016
Description本文对中国制药企业并购溢价影响因素进行了研究，提出了对制药企业并购非常重要的两个新的影响因素：可生产药品批文和在研新药批文。本文以2011年1月—2019年12月间我国制药行业上市公司并购事件为样本，对在研新药和可生产药品批文的价值从四个维度度量：是否有在研新药和可生产药品批文；在研新药数量及可生产药品批文数量；根据创新药和仿制药两个类别进行细分；标的企业所拥有的在研新药和可生产药品批文的市场价值。论文发现药品批文对企业并购溢价的影响不是很显著。进一步的，本文探究了药品批文对主并企业的对被并购公司的估值的影响。实证结果表明，我国制药企业在并购估值时确实会考虑到在研新药和可生产药品批文的价值。本文还发现对于可生产药品来说，相对创新药，被并购公司持有的仿制药批文影响更显著。而对于在研新药来说，主并企业更看重在研的创新药，在研仿制药对并购估值的影响不大。最后，本文选取了两个代表性案例进一步分析和探讨药品批文对企业并购的影响。
ContributorsYe, Tao (Author) / Shen, Wei (Thesis advisor) / Chang, Chun (Thesis advisor) / Jiang, Zhan (Committee member) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2022
Description
The advancement of information and communication technology (ICT) has significantly transformed how people communicate and obtain information in both their personal and professional lives. In the realm of digitally-facilitated social interaction, this dissertation calls for attention to the importance of information technology artifacts (IT artifacts) on social welfare by showcasing that the careful design and usage of IT artifacts have the potential to enhance the effectiveness, efficiency, and fairness of social interactions. The first study centers around addressing the cold-start issue that often arises when new products are introduced. Specifically, I investigate how machine-generated content can enhance the equity of new products. Analyzing data from Kaggle.com, my research demonstrates that the use of machine-generated content is effective in tackling the cold-start problem by increasing the adoption of the product in the initial phase. Additionally, my findings reveal that machine-generated content can also reduce information asymmetry for users regarding the datasets or associated providers. As a result, these outcomes provide strong evidence supporting the use of machine-generated content to enhance equity in online communities. The second research investigates the impact of a platform’s decision to impose application fees on enhancing the quality of matching results in an online labor market. Based on data obtained from Freelancer.com, my analysis demonstrates that the implementation of application costs serves as a motivator for workers to submit fewer but more selective bids. This, in turn, increases the likelihood of employers offering contracts, as workers are less likely to apply casually or without much thought. Overall, these results indicate that application costs can enhance the efficiency of the matching process. In the third study, I examine whether gender differences exist in telework adjustment as a response to disasters and to what extent such adjustments can help reduce gender inequality, using the COVID-19 pandemic as an example. The study's findings reveal the following: 1) Female workers exhibit a higher rate of telework adjustment than their male counterparts by 7% after accounting for differences in job sorting, and female workers are more responsive to external constraints. 2) Telework adjustment can help mitigate gender inequality in the labor market.
ContributorsHou, Jingbo (Author) / Chen, Pei-Yu (Thesis advisor) / Gu, Bin (Committee member) / Hong, Yili (Kevin) (Committee member) / Arizona State University (Publisher)
Created2023
Description
Private placement is an important financing tool for listed companies in China, and the lock-up arrangement is its supporting system. The Efficient Market Hypothesis suggests that, if investor expectations are unbiased, there will be no abnormal fluctuations in the stock prices of listed companies before and after the unlocking day. However, around the time of the unlocking of private placement shares, the stock prices generally show a V-shaped pattern.
Through the empirical analysis of the Chinese A-share stocks from May 8th,2006 to December 31st, 2016, I found that from the 40th day before the unlocking day to the 90th day after, the stock price showed an evident first-downward-then upward trend. The lowest price appeared near the unlocking day. Meanwhile, the greater stocks fall before the unlocking day, the greater prices rise after that. The characteristics of the distinctive difference between the stock prices before and after the unlocking day can provide investment opportunities.
By reviewing research on investor behavior, this paper suggests that the V-shaped pattern can be explained by the influence of investors’ psychological factors on their trading behavior. The general performance of the stocks before the unlocking day is negative due to the increasing uncertainty perceived by investors. After the unlocking day, the uncertainty gradually disappears and the stock rebounds. In addition, I found that stock returns during the lock-up period, shareholder background, and the length of lock-up period also had significant impacts on the V-shaped price trend.
Through the empirical analysis of the Chinese A-share stocks from May 8th,2006 to December 31st, 2016, I found that from the 40th day before the unlocking day to the 90th day after, the stock price showed an evident first-downward-then upward trend. The lowest price appeared near the unlocking day. Meanwhile, the greater stocks fall before the unlocking day, the greater prices rise after that. The characteristics of the distinctive difference between the stock prices before and after the unlocking day can provide investment opportunities.
By reviewing research on investor behavior, this paper suggests that the V-shaped pattern can be explained by the influence of investors’ psychological factors on their trading behavior. The general performance of the stocks before the unlocking day is negative due to the increasing uncertainty perceived by investors. After the unlocking day, the uncertainty gradually disappears and the stock rebounds. In addition, I found that stock returns during the lock-up period, shareholder background, and the length of lock-up period also had significant impacts on the V-shaped price trend.
ContributorsZhang, Hongwei (Author) / Zhu, Hongquan (Thesis advisor) / Yan, Hong (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2018
Description
Executive compensation design involving equity shares has been widely used in Europe, the United States and other developed countries where the capital markets are relatively mature. In China, due to the differences in industries, ownership structure, stages of enterprise development, constraints faced by the firms, the executive compensation design using equity shares tends to vary accordingly. For the state-owned companies, the situations are more complex than others. This complexity has not been a focus of the past literature, particularly on the compensation contract design and its subsequent implementation. Based on Coase contract theorem, agency theory and human capital theory, I examined how different state-owned firms vary in their approaches on managerial stock compensation design using a case study approach. The thesis concludes with a summary of major findings and a discussion of policy implications.
ContributorsAn, Hongjun (Author) / Pei, Ker-Wei (Thesis advisor) / Chen, Hong (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2016
Description
The emergence and fast growth of shared workspaces have attracted increasing attention from investors, practitioners, and researchers. Overall, this industry is still at an early stage of development and the business models of shared workspace providers are still evolving. To enhance the understanding of the different business models adopted by the leading shared workspace providers, I conduct an in-depth qualitative analysis of three current market leaders - Regus, WeWork, and UrWork – using the Business Model Canvas proposed by Osterwalder (2008). My analysis suggests that shared workspace providers creates value by offering three tiers of services: (1) satisfying users’ needs for physical office spaces, (2) helping them build an enterprise eco-system, and (3) facilitating the development of a user community. I further use the PEST model to analyze how the macro-environmental factors in China and U.S. may have contributed to the development of different shared workspace business models in these two countries. Based on the above analyses, I propose a list of factors that may be critical to investors’ valuations of shared workspace companies.
ContributorsHe, Chi (Author) / Shen, Wei (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2018