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As more goods and processes are digitalized and available online, supply chains began to transact digitalized goods and processes that do not involve physical distribution. This dissertation defines this type of supply chain as “digital supply chain” and aims to extend the knowledge for better management of digital supply chains.

As more goods and processes are digitalized and available online, supply chains began to transact digitalized goods and processes that do not involve physical distribution. This dissertation defines this type of supply chain as “digital supply chain” and aims to extend the knowledge for better management of digital supply chains. Digital goods are granularly codifiable and easily duplicatable, and digital processes are less constrained by time and distance. For these reasons, compared to conventional supply chains, digital supply chains have the following features: the delivery of goods is faster; the innovation cycle is shorter; post-sales product modification is easier; and customers switch between the providers of alternative goods more frequently and easily. Given these traits of digital supply chains, this dissertation focuses on the timing of firms’ actions and their consequences under the consideration of dynamic interactions with competitors, customers, and business environments. The dissertation consists of four chapters. Chapter 1 briefly introduces the concept and issues of digital supply chains. Chapter 2 investigates how a service provider’s failure leads to a competing firm’s responsive innovation in the innovation-driven digital service industry. Chapter 3 demonstrates the relationship between market environments and innovation cycles in the innovation-driven digital service industry. Lastly, Chapter 4 studies evolving supply chain cyber-vulnerability from the perspective of agency theory.
ContributorsJeong, Seongkyoon (Author) / Choi, Thomas T (Thesis advisor) / Oke, Adegoke A (Committee member) / Dooley, Kevin K (Committee member) / Arizona State University (Publisher)
Created2022
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Description
In response to the COVID-19 pandemic, countries took serious measures to control its spread and reduce its effect on health, social, and economic aspects. The United Arab Emirates (UAE) has taken unprecedented preventive measures against the spread of COVID-19, including complete lockdowns and the closing of some businesses. Therefore, 27%

In response to the COVID-19 pandemic, countries took serious measures to control its spread and reduce its effect on health, social, and economic aspects. The United Arab Emirates (UAE) has taken unprecedented preventive measures against the spread of COVID-19, including complete lockdowns and the closing of some businesses. Therefore, 27% of companies expected to lose their businesses within a month, while 43% of companies expected to go out of business within six months. This was not only due to the countrywide lockdown, or the impacts caused by the pandemic, but also due to the bad leadership of some leaders during this crisis. There are little of studies and data that discuss the consequences of these decisions on businesses, and it will be helpful to measure the consequences over three years. This study answers the following question: How much did myopic staffing and compensation decisions in the context of COVID-19 affect companies’ performance? To answer this question, I use agent-based modeling (ABM) supported by secondary data to create a simulation to study the consequences of myopic decisions made on employees’ performance in the private sector in the United Arab Emirates starting from the 2020 year and through an anticipated period of 3 years . The study found that under the assumptions that pay deductions, layoffs, and unpaid leaves, are myopic decisions and in the context of the COVID-19 pandemic and its impact on the companies’ performance, there is a huge affect on companies’ performance over the study period which is 3 years. Keywords: bad leadership, myopic decisions, companies, businesses, COVID-19, agent-based model.
ContributorsAlsaleh, Mohammad (Author) / Trinh, Mai P. (Thesis advisor) / Castillo, Elizabeth (Committee member) / Wallace, L. Marie (Committee member) / Arizona State University (Publisher)
Created2022
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This paper focuses on the path of business model digitalization and its impact on corporate performance, and empirically tests the relationship between the path of business model digitalization and corporate performance of listed companies in China.The empirical results show that: digital transformation will improve enterprise performance, the technological innovation capability

This paper focuses on the path of business model digitalization and its impact on corporate performance, and empirically tests the relationship between the path of business model digitalization and corporate performance of listed companies in China.The empirical results show that: digital transformation will improve enterprise performance, the technological innovation capability of enterprises helps to improve the business performance of enterprises; the level of enterprise technological innovation has a strengthening effect on the positive impact of digitalization on enterprise performance; corporate financing constraints will weaken the positive effect of corporate digital transformation on corporate performance; the improvement of technological innovation capability is conducive to the improvement of the performance of digital transformation enterprises; technological innovation of manufacturing enterprises is difficult to have a greater impact on enterprise performance by improving production efficiency. Based on the empirical results of this paper, in order to fully grasp the development opportunities of the digital economy, the government should take the digital transformation of enterprises as a way to help enterprises develop with high quality. At the industrial level, we should promote the digital transformation of economic industries based on the principle of differentiation. At the enterprise level, we should strengthen the financial services and R&D investment that match the financing needs of enterprises, effectively play the positive regulatory role of enterprises' technological innovation ability on the performance of enterprises' digital transformation, and effectively weaken the negative regulatory role of financing constraints on the performance of enterprises' digital transformation.
ContributorsWang, Minghui (Author) / Chen, Pei-Yu (Thesis advisor) / Jiang, Zhan (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2023
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Description
As Charles Darwin’s evolution theory reveals, it is not the strongest species that survive, but those most responsive to change. This principle also applies in the realm of operations management, where managers shall creatively redesign operations to address new challenges. This dissertation presents three cases where renovating traditional operations cost-effectively

As Charles Darwin’s evolution theory reveals, it is not the strongest species that survive, but those most responsive to change. This principle also applies in the realm of operations management, where managers shall creatively redesign operations to address new challenges. This dissertation presents three cases where renovating traditional operations cost-effectively solves emerging problems, including fraudulent reviews on online platforms (Chapter 1), inefficient strategy design of advertisers (Chapter 2), and inadequate user participation in global procurement initiatives (Chapter 3). I demonstrate that such a practice not only enhances operational efficiency but promotes social welfare. The first two chapters examine operational renovation in the private sector, while the third focuses on the public sector. Specifically, Chapter 1 investigates sellers’ review manipulation on e-commerce platforms and shows that platforms may not be as committed to combating fake reviews as they claim to be. To mitigate this problem, I craft a game-theoretic model and illustrate that restructuring return policies – an essential, long-established operation – can inhibit review manipulation. Chapter 2 analyzes geofencing, an emerging advertising strategy that enables advertisers to send ads to consumers within a virtual fencing zone. While extant literature shows the usefulness of geofencing, the optimal implementation of the strategy remains unclear. Therefore, I analytically examine the optimal operations of geofencing. The findings suggest that the typical practice of setting the geofence around the advertiser’s store is not cost-efficient. Advertisers shall think outside of the box and consider placing the fencing zone elsewhere. My proposed geofencing location and radius could increase resource utilization, advertising efficacy, and consumer welfare. Chapter 3 switches the focus to the public sector, addressing the unaffordability of health products in low- to middle-income countries (LMICs). Social planners have managed procurement pools to help LMICs access health products, yet countries’ willingness to join the pool can vary greatly. A lack of country participation would jeopardize the success of pooled procurement. To encourage more countries to join, I design a procurement mechanism that considers countries’ heterogeneous preferences, disease burdens, and ability to pay. This proposed mechanism, with an appropriately designed subsidy plan, could maximize the aggregate social welfare.
ContributorsChen, Xiangjing (Olivia) (Author) / Webster, Scott (Thesis advisor) / Wang, Yimin (Thesis advisor) / Ho, Yi-Jen (Ian) (Committee member) / Arizona State University (Publisher)
Created2023
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Description
Nonprofits and humanitarian organizations play a critical role in the modern world. Yet, to operate sustainably, they often encounter challenges including financial insecurity and operational obstacles. My dissertation investigates nonprofits' decisions and strategies for delivering sustainable services from the perspectives of financial security and operations in short- and long-term horizons.The

Nonprofits and humanitarian organizations play a critical role in the modern world. Yet, to operate sustainably, they often encounter challenges including financial insecurity and operational obstacles. My dissertation investigates nonprofits' decisions and strategies for delivering sustainable services from the perspectives of financial security and operations in short- and long-term horizons.The first chapter is focused on the role of governance quality in nonprofits' donation income. Donors, generally, support charities that maintain higher program spending ratios (PSR). Yet, PSR does not reflect charities' actual social impact, and a focus on PSR may eventually limit their capacity in providing humanitarian aid. Since 2008, as a result of a policy change by the U.S. Internal Revenue Service, nonprofits are able to better display their governance quality. My empirical investigation shows that governance quality is now an important factor in driving donations to nonprofits, although PSR still remains a key driver. Results suggest that nonprofits should consider improving their governance quality in their strategies for securing donation income, although that may lead to lower PSRs. Pressures resulted from the focus on PSR encourage nonprofits to prioritize strategies that enable them to report higher program expenses. In the second chapter, I empirically examine one of these strategies, grant provision, that allows nonprofits to increase their reported program expenses without having to spend their funds on their own programs. I find that providing grants to other organizations enables nonprofits to earn more revenue and make a bigger social impact in the long term, but this strategy increases the administrative burden needed to make an impact. Given the challenges in coordination and lack of effective coordinated response in humanitarian operations, in the third chapter, I develop a non-cooperative game theoretical model to analyze horizontal coordination among non-governmental organizations in disaster relief operations in centralized and decentralized models. I show that coordination does not always maximize social welfare, and time inefficiencies due to bureaucracies involved in coordination mechanisms are substantial obstacles against higher levels of coordination, especially in urgent response operations. I also show that decentralization of coordination mechanisms increases both coordination levels and social welfare.
ContributorsParsa, Iman (Author) / Efrekhar, Mahyar (Thesis advisor) / Webster, Scott (Committee member) / Corbett, Charles J. (Committee member) / Arizona State University (Publisher)
Created2022
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Description
In this dissertation, I conduct theoretical and empirical studies to investigate the digital platforms from an ecosystem perspective. Specifically, in Study 1, I propose a new two-zoned network model to address an inadequacy in the traditional two-sided network model. The newly proposed model helps firms better understand the nature of

In this dissertation, I conduct theoretical and empirical studies to investigate the digital platforms from an ecosystem perspective. Specifically, in Study 1, I propose a new two-zoned network model to address an inadequacy in the traditional two-sided network model. The newly proposed model helps firms better understand the nature of platform competition so as to make informed decisions in this evolving landscape. In Study 2, I develop a comprehensive relationship framework for online marketplaces and define six distinct relationship types including asymmetric relationships. An analytical approach is further proposed to estimate relationships empirically and derive a set of network-based relationship metrics. I demonstrate the validity and significant impact of our proposed relationship metrics in driving apps’ future performance through a series of econometric and prediction models. In Study 3, I evaluate the impacts of data and privacy regulations on the business performance in the digital products market from an international perspective. The study reveals interesting and counterintuitive effects of data regulations in the international mobile app market. Overall, my research work highlights the importance of an ecosystem view in exploring and understanding issues and mechanisms in digital platforms. It makes great contributions to the literature ranging from the two-sided market, product networks to impacts of data and privacy regulations. It also provides significant implications for organizations, firms, practitioners, and policymakers.
ContributorsLi, Ziru (Author) / Santanam, Raghu RS (Thesis advisor) / Shao, Benjamin BS (Committee member) / Chen, Pei-yu PC (Committee member) / Shi, Zhan ZS (Committee member) / Arizona State University (Publisher)
Created2021
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Description
This paper studies the spillover effect of star funds in the Chinese mutual fund market. I show that star funds can attract more capital inflows to their sibling funds (managed by same fund manager) and family funds (managed by same fund company). The spillover effect is stronger for sibling funds.Further,

This paper studies the spillover effect of star funds in the Chinese mutual fund market. I show that star funds can attract more capital inflows to their sibling funds (managed by same fund manager) and family funds (managed by same fund company). The spillover effect is stronger for sibling funds.Further, I propose two mechanisms of spillover effect of star funds. The first mechanism is related to investors’ limited attention and ability. Star funds can easily attract investors’ attention among numerous fund products. The high degree of attention of star funds makes their related funds (e.g., family funds and sibling funds) get more attention, thus attracting more capital flows. I show that the spillover effect of star funds to their sibling funds is stronger among funds with a higher proportion of individual investors. Due that individual investors are more limited in attention and more easily pay attention to sibling funds, the result thus verifies the mechanism to a certain extent. The second mechanism is about performance correlation. Investors choose sibling or family funds of star funds because they expect their future performance to be as excellent as that of star funds. I find that the performance correlation between sibling funds and star funds is stronger than that between family funds and star funds. Combined with the result that the spillover effect of star funds on sibling funds is stronger than that on family funds, it verifies the mechanism to some extent. This paper is of great significance for understanding the spillover effect of star funds.
ContributorsZhou, Xiaolei (Author) / Shi, Zhan (Thesis advisor) / Yu, Xiaoyun (Thesis advisor) / Wu, Fei (Committee member) / Arizona State University (Publisher)
Created2023
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This article first reviews the development process and research status of ESG, pointing out that there has been less attention paid to the impact of executive teams on corporate ESG performance in existing studies, while studying the impact of executive team background on corporate ESG performance has important theoretical and

This article first reviews the development process and research status of ESG, pointing out that there has been less attention paid to the impact of executive teams on corporate ESG performance in existing studies, while studying the impact of executive team background on corporate ESG performance has important theoretical and practical significance. This article starts from two aspects: the overseas background and academic background of the executive team, and uses empirical research methods to examine the impact of the background characteristics of the executive team on the ESG performance of enterprises.This study found that firstly, the larger the proportion of executive members with overseas backgrounds, the better the ESG performance of a company. The research results indicate that overseas experience and experience can influence executive behavior and make decisions that are beneficial for the ESG performance of the company. Secondly, the larger the proportion of executive members with academic backgrounds, the better the ESG performance of the enterprise. The research results indicate that the academic background of the executive team can significantly improve their learning and information collection abilities, thereby making them more proficient in ESG related decision-making, and thus having a positive promoting effect on the ESG performance of the enterprise. Heterogeneity analysis shows that the impact of overseas and academic backgrounds of executive teams on ESG performance is more pronounced in state- ii owned enterprises, when the external legal environment of the enterprise is more perfect, and when the proportion of executive shareholding is higher. Further research has found that the overseas background of the board of directors also has a positive impact on the ESG performance of enterprises. In addition, this study found that the improvement of ESG performance by the overseas background of the executive team is mainly reflected in the two dimensions of ESG society and governance, while the improvement of ESG performance by the academic background of the executive team is mainly reflected in the two dimensions of ESG environment and society. This article starts with the latest business philosophy of enterprise ESG performance, examining the impact of executive team background characteristics on enterprise ESG performance, enriching research on the economic consequences of executive team background characteristics, and expanding research on the influencing factors of enterprise ESG performance. The research conclusions of this article contribute to a deeper understanding and understanding of the scenarios in which background characteristics of executive teams may play a role, and also contribute to a deeper analysis of the possible influencing factors of ESG performance in enterprises. The research conclusions of this article have certain practical guiding significance for the construction of ESG system and the formation of executive teams in Chinese listed companies.
ContributorsHe, Jing (Author) / Zhu, David (Thesis advisor) / Cheng, Shijun (Thesis advisor) / Pei, Buck (Committee member) / Arizona State University (Publisher)
Created2023
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With the ongoing development of China's financial market, the investment choices for investors are gradually enriched. Exploring asset allocation for different economic cycle stages can help investors achieve higher returns from the economic cycle rotation, and at the same time, effectively diversify the investment risks and improve the stability of

With the ongoing development of China's financial market, the investment choices for investors are gradually enriched. Exploring asset allocation for different economic cycle stages can help investors achieve higher returns from the economic cycle rotation, and at the same time, effectively diversify the investment risks and improve the stability of investment returns. In this paper, we systematically sort out a series of studies on asset allocation and economic cycle theory, and build an economic cycle rotation investment strategy applicable to China's economic environment and changes in China's capital market.Based on China's macroeconomic data and investment asset classes, this paper optimizes the division of economic cycle stages, integrates the economic cycle rotation strategy and risk parity strategy, and incorporates liquidity elements to construct an asset allocation strategy. Specific findings are as follows: (1) this paper uses the "slope" and "threshold" of the year-on-year change of industrial value added to divide the economic output stage, which overcomes the drawbacks of relying on economic cycle indicators that cause frequent changes in cycle stages; (2) the investment strategy developed in the paper is able to obtain considerable investment returns, reduces investment risks, and achieves retracement control. ii The findings of this paper enrich and expand the research on economic cycle theory and asset allocation theory to a certain extent, and also provide some inspiration for the practice of asset allocation.
ContributorsZhao, Guomin (Author) / Huang, Xiao-Chuan (Thesis advisor) / Yan, Hong (Thesis advisor) / Liang, Bin (Committee member) / Arizona State University (Publisher)
Created2023
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Description
This study aims to explore the impact of employee incentives on innovation in the Chinese inductive manufacturing industry. Using a sample of publicly listed inductive manufacturing companies in China, we construct a panel dataset spanning from 1994 to 2022 and employ a multiple regression model for empirical analysis. Our findings

This study aims to explore the impact of employee incentives on innovation in the Chinese inductive manufacturing industry. Using a sample of publicly listed inductive manufacturing companies in China, we construct a panel dataset spanning from 1994 to 2022 and employ a multiple regression model for empirical analysis. Our findings reveal that employee incentive programs have a significant positive effect on the performance of inductive companies in terms of inductive reliability experiments, and the number of patent applications, granted patents, and patent citations over the next two years. Particularly, the positive relationship between employee incentives and innovation is more pronounced in companies with higher ownership concentration. This study provides empirical evidence supporting the crucial role of employee incentives in facilitating corporate innovation in Chinese inductive manufacturing firms. Furthermore, the results provide valuable insights for firms in formulating stock ownership structures and employee incentive plans, as well as policy implications for developing China's high-end manufacturing industries.
ContributorsZhang, Jieping (Author) / Huang, Xiaochuan (Thesis advisor) / Zhang, Harold (Thesis advisor) / Yan, Hong (Committee member) / Arizona State University (Publisher)
Created2023