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.
Under the new generation of technological and industrial revolutions, digital economy enterprises are increasingly becoming major contributors to socio-economic development. Their scale effect and marginal cost effect are different from traditional enterprises, which also raises concern and discussion on whether digital economy enterprises can promote more equitable and sustainable development…
Under the new generation of technological and industrial revolutions, digital economy enterprises are increasingly becoming major contributors to socio-economic development. Their scale effect and marginal cost effect are different from traditional enterprises, which also raises concern and discussion on whether digital economy enterprises can promote more equitable and sustainable development of society. The participation of digital economy enterprises in the common wealth is an important source of legitimacy for their development. This thesis investigates the mechanism of the impact of their common wealth inputs on corporate financial performance by using a sample of digital economy firms among Chinese listed companies as a case study. It is found that, overall, the mechanism of the effect of firms' common affluence model on their financial performance has a positive effect. The main source of this positive effect is the secondary distribution of the firm, i.e., the legitimacy of tax contributions. Other legitimacy such as employee and shareholder legitimacy are not significantly associated with financial performance, while social philanthropic input from tertiary distribution participation has a significant negative effect. In the association of redistribution on firm performance, there is a positive facilitating effect on firms' R&D efficiency and a negative moderating effect of economic policy uncertainty. It suggests that there are differences in the impact of firms' legitimacy initiatives, such as tax contributions, on performance under different firm development expectations. Whereas in the third distribution, firms' R&D efficiency has a crowding-out effect on the economic gains from the legitimacy of common wealth participation, economic policy uncertainty has a reinforcing effect in the third distribution of firms. The above suggests that the development of digital economy firms is more positively facilitated by official legitimacy and currently lacks the constraints of industrial ecology from internal and public scrutiny.
With the rapid development of information technology and the rise of the Internet+ era, the sharing economy has fundamentally changed people's lives and consumption patterns, and has also reshaped the process of value co-creation between enterprises and customers. In the sharing economy, enterprises no longer play the dominant role; instead,…
With the rapid development of information technology and the rise of the Internet+ era, the sharing economy has fundamentally changed people's lives and consumption patterns, and has also reshaped the process of value co-creation between enterprises and customers. In the sharing economy, enterprises no longer play the dominant role; instead, they have evolved into platforms that provide support and services for users. In this economy, users not only determine the profitability and reputation of enterprises but also create substantial value through the exchange of usage rights to idle resources and interactions both online and offline. Therefore, studying the value co-creation behavior of bilateral users on sharing service platforms is of significant necessity for enterprise development. This research aims to explore the impact mechanism of bilateral user value co-creation on customer value in sharing service platforms. Through the analysis and summarization of literature, a theoretical model of bilateral user value co-creation and customer value in the context of the sharing economy has been established. The research subjects include users of the homestay/inn platform on Ctrip, as well as users of other types of sharing platforms, such as Lazy Housekeeping, LoveChef, Didi and Airbnb.
In the empirical part, questionnaires were designed and sample data was collected through the Questionnaire Star platform. SPSS 25 and AMOS 23 data analysis software were used to perform reliability and validity analysis and correlation analysis of the scales. Multivariate regression analysis was employed to investigate the impact of bilateral user value co-creation on various aspects of customer value. Additionally, the Bootstrap method was used to test the mediating roles of relevant factors.
Through the above research methods, we will be able to have an in-depth understanding of the impact mechanism of two-sided user value co-creation on customer value of the shared service platform and obtain more comprehensive and concrete research findings. I believe that the findings of this study will have important implications for the theory and practice in the domain of sharing economy. Key words: sharing economy, sharing service platform, two-sided users, value co-creation, customer value
In recent years, the decentralized exchange (DEX) has shown an explosive growth trend in recent years. Uniswap, as one of the largest decentralized exchanges, invented Uniswap, a decentralized financial protocol of the same name based on exchanging cryptocurrencies. Automated transactions between cryptocurrency tokens on the Ethereum blockchain. Currency trading participants…
In recent years, the decentralized exchange (DEX) has shown an explosive growth trend in recent years. Uniswap, as one of the largest decentralized exchanges, invented Uniswap, a decentralized financial protocol of the same name based on exchanging cryptocurrencies. Automated transactions between cryptocurrency tokens on the Ethereum blockchain. Currency trading participants create a liquidity pool based on this agreement, and this paper mainly studies the factors that affect the liquidity of currency trading.Specifically, this paper explores the factors that affect monetary liquidity through three hypotheses. The first is the impact of rates on liquidity, exploring the differences in liquidity under various rates. Then, the impact of differences in Uniswap protocol versions on liquidity was studied. Compared with the V2 version, the Uniswap V3 version added centralized liquidity,which changed the unpaid loss. . This feature makes Uniswap V3 the most flexible and efficient protocol. Finally, the influence of different active users on liquidity is compared, and the change trend of liquidity under different numbers of users is explored.
Based on the above three assumptions, this paper adopts GARCH and OLS regression analysis to explore and analyze the collected currency transaction data, and draws the following conclusions for the three assumptions:
(1) Researcher may conclude that rates are correlated with trading volume, and volume growth impacts liquidity capacity and increases rates. Therefore, the fee rate has a significant impact on liquidity.
(2) Compared with V2, V3, quantitative analysis was carried out using unpaid loss. It was found that impermanent loss has a more significant impact on the liquidity of the V3 version but has little correlation with the V2 version.
(3) According to the analysis and comparison of the model, there is no obvious ARCH phenomenon among active users, so it is believed that there is no significant correlation between the two.
(4) Combining conclusions 1 and 3, researcher further analyzed the impact of several independent variables on liquidity and found that the fee rate has a more significant influence than active users