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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
Description中小微企业是社会与经济的基本盘,它们面临的贷款融资难是全世界各国家都长期存在的世界难题,已经成了影响中小微企业经营发展的重要问题。以往的学术研究都指出了融资难的根本影响因素,那就是信息不对称,但是以往的专家学者通常是基于理性经济人的假设前提来开展进一步的影响因素研究,本论文尝试从行为金融学的视角来研究中小微企业融资难问题,研究分析贷款过程中的非理性行为因素,为提升小微贷款可获得性寻求新的思路和解决方法。以中小企业融资理论、信息不对称理论和行为金融理论为基础,结合上市银行的披露数据和问卷调查开展实证研究分析,发现企业和银行在中小微贷款融资过程中都存在非理性行为,产生心理授权效应、锚定效应和确定效应,对小微贷款可得性产生显著影响。 建议通过强化企业信用信息开放共享、提升信息披露、加强政策引导、坚持发挥中小银行对小微企业的服务优势、鼓励银行发展金融科技优化提升服务等多种方式,进一步提升小微贷款可得性,缓解中小微企业融资难问题。
ContributorsDeng, Bo (Author) / Huang, Xiaochuan (Thesis advisor) / Wu, Fei (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2022
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Description
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.
ContributorsZhou, Guangyi (Author) / Wu, Shin-Yi (Thesis advisor) / Hu, Jie (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2023
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Description
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
ContributorsWu, Jiawei (Author) / Chen, Pei-Yu (Thesis advisor) / Hu, Jie (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2023
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Description基于人类加密学,第一例加密数字货币“比特币”的概念最初由中本聪在2008年11月1日提出,于2009年1月3日正式诞生。经过14年的历程,整个加密货币世界得到了快速的发展、加密生态得到了极大的繁荣、有利的推动了整个人类数字文明的衍进和发展。截至2021年5月,加密货币总市值达到2.4万亿美元的峰值,加密数字货币的数量已经近6000种。单只市值超过10亿美元的数字货币有77个,单只市值超过100万美元的数字货币有1600个。虽然对加密货币究竟应该定义为商品还是证券仍存在巨大争议,但毫无疑问的是加密货币已经成为瞩目且不可忽视的一类投资性资产。 本论文试图从金融资产分析框架和行为金融学角度出发,探究比特币和以太币这两只最具有代表性的数字货币的价格影响因素。本论文分别从宏观和微观两个维度探究两个维度下的因素对价格波动的影响。从宏观视角出发探究问题一:通缩发行机制、联储货币政策、以及中美监管政策对比特币及以太币价格的影响。从微观视角出发探究问题二:加密货币的应用、市场行为金融的视角看其比特币及以太币价格波动的影响。 本论文通过应用定性和定量相结合的研究分析方法,运用一系列时间序列回归模型、相关性分析、区间统计分析、经典行为金融学动能效应模型等工具对上述两个维度的问题进行深度研究和论证,发现各个角度中所涵盖的因素对以比特币和以太币为代表的数字货币价格的影响,同时涵盖了影响的方向和影响的层度,并构建多因素定价模型。
ContributorsLiu, Hongjie (Author) / Zhang, Zhongju (Thesis advisor) / Hu, Jie (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2023
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Description如何鼓励翻译者翻译出优秀的内容,并记录下来,确立知识产权,是一直被探索的问题。随着eb3.0、区块链、NFT(Non-Fungible Token)等飞速发展,为这一问题提供了一种新的思路。目前NFT在艺术品领域大放异彩,对艺术品确权,大大保障了艺术家的利益,极大地激发了艺术家的创作热情。本文将NFT与翻译行业结合,梳理翻译行业现状及存在的问题,介绍NFT技术的概念、发展历程及应用场景,考虑NFT在翻译领域应用的可行性,提出一种新的商业模式,并激发译者的积极性,积累优秀语料,进而促进翻译行业发展。
ContributorsLi, Yangyi (Author) / Zhang, John (Thesis advisor) / Hu, Jie (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2023
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Description随着信息通信技术在金融科技领域中得到广泛应用,传统金融机构依靠互联网技术极大的提升了自己的金融服务能力和金融服务效率。但与此同时,作为一个新兴业态,与互联网金融服务配套的法律制度和保障措施还未完善,特别是互联网借贷业务,贷前的风控系统不完善,同时还缺乏贷后管理机制,造成了网络贷款平台不断出现爆雷现象。仅2018年7月一个月内就有200多家平台出现问题,而到2020年底为止,出现问题的在线借贷平台高达80%。为了更好的保障在线借贷平台和互联网金融行业的健康发展,亟需完善个人征信体系建设,科学评估借款人违约风险。为了解决这一问题,本文首先对现有研究进行了理论梳理,找到可能对违约风险产生影响的因素,并总结为个人特征、社交网络特征、金融特征等三方面的因素。在这之后,从社交网络特征对违约风险进行了深入分析。其次,利用大数据分析方法,构建了随机森林信用评价模型。最后,文章还通过与不同数据集上的相同模型、相同数据集上的不同模型进行对比,对本文构建模型的有效性进行了评估。 研究结论表明:(1)用户的社交网络特征对用户违约风险、欺诈等级具有一定的解释力度,其中用户通话类社交特征对用户欺诈等级的识别效果最好,其次为风险等级,违约标签的识别效果最差,而且用户的地域特征对社交网络特征有显著的调节作用。(2)通过随机森林模型,本文发现年龄、贷款金额是影响客户违约风险和欺诈等级的最重要的因素。(3)比较多元回归模型和随机森林模型,随机森林模型对样本用户特征重要性探索的准确度要高于多元回归模型。 根据上述结论,本文提出了相应了建议:(1)在线借贷平台在判断用户违约风险时,应该在现有的分析框架中考虑用户社交特征来提升用户风险预测精度;(2)信贷公司应该将随机森林等方法纳入到用户是否违约、风险等级和欺诈等级的预测中,这样会显著的提升公司对用户违约、欺诈等级的预测精度。
ContributorsHan, Wei (Author) / Shen, Wei (Thesis advisor) / Hu, Jie (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2022
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Description
China's infrastructure investment is ushering in a new round of growth. The equipment leasing industry maintains high growth rate. H Company has accumulated close to 200,000 service projects, of which personal contracts account for about 71%, and has initially established a brand effect among small and medium-sized customers. We fully

China's infrastructure investment is ushering in a new round of growth. The equipment leasing industry maintains high growth rate. H Company has accumulated close to 200,000 service projects, of which personal contracts account for about 71%, and has initially established a brand effect among small and medium-sized customers. We fully leverage the efficiency advantages of private enterprises in digital construction, iterates the system based on needs, data analysis results, feedback, and uses the high-altitude operation platform as the entry point to achieve comprehensive online operation, such as online procurement process, full equipment lifecycle management, full business process management, financial management, and realizes standardization of the entire business process. In this context, it is particularly important to conduct theoretical sublimation based on practical experience and study the impact of digital transformation on the equipment leasing industry.It has found that: 1) Obstacle factors have a significant impact on the digital investment of enterprises; 2) Obstacle factors have a significant impact on the digital achievements of enterprises; 3) Enterprises generally realize that increasing digital investment can significantly enhance their digitalization; 4) The digital investment of enterprises has a significant impact on their leading business indicators, which indicates that different enterprises have relatively high plans; 5) The relationship between digital investment and business revenue growth is positively correlated, indicating that the higher the investment in digital transformation, the higher the growth rate of revenue. However, this correlation is not significant; 6) The digital investment of enterprises significantly promotes the improvement of operational efficiency. In the equipment leasing industry, practitioners generally recognize that increasing digital investment can promote the improvement of operational efficiency; 7) The more achievements of digital transformation in enterprises, the more significant the efficiency improvement, and this correlation is very obvious. When a company can truly produce good digital results, the promotion of operational efficiency is very obvious, which motivates business managers to work hard to produce excellent digital results in the current difficult situation.
ContributorsPan, Qian (Author) / Shao, Benjamin (Thesis advisor) / Jiang, Zhan (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2024
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Description
With the development of the Science and Technology Innovation Board, equity incentives have gradually evolved into the "standard configuration" for listed companies on the board in recent years. However, due to the short opening time of the Science and Technology Innovation Board in China, the equity incentive system on the

With the development of the Science and Technology Innovation Board, equity incentives have gradually evolved into the "standard configuration" for listed companies on the board in recent years. However, due to the short opening time of the Science and Technology Innovation Board in China, the equity incentive system on the board is still constantly being explored and advanced. Therefore, studying the relationship between equity incentives and corporate performance of listed companies on the Science and Technology Innovation Board is of great practical significance for promoting the long-term development of the company.Therefore, based on a systematic review of domestic and foreign research results, combined with the basic theory of equity incentives, this article selected listed companies on the Science and Technology Innovation Board in China that implemented equity incentives from January 1, 2019 to December 31, 2022 as research samples, and used equity incentives as explanatory variables. This study adopts factor analysis to evaluate corporate performance through a comprehensive index, based on the operational capability, cash flow ability, and growth potential of companies. Finally, a regression analysis model is created using current period regression, lagged one period, and lagged two periods regression methods to examine the relationship between equity incentives and corporate performance of listed companies on the Science and Technology Innovation Board. The relationship between equity incentives and R&D investment is analyzed using lagged two periods, and TobinQ is also analyzed Zscore conducted regression analysis to verify the conclusion of the relationship between equity incentives and corporate performance. Empirical research analysis shows that under comprehensive indicators, there is no significant promoting effect between equity incentives and corporate performance of companies listed on the Science and Technology Innovation Board. Compared with companies in other listed sectors, the equity incentive effect of companies listed on the Science and Technology Innovation Board is strengthened. Equity incentives of companies listed on the Science and Technology Innovation Board are conducive to improving Tobin Q performance without increasing bankruptcy risk. Equity incentives of companies listed on the Science and Technology Innovation Board can enhance R&D investment. Based on empirical research results, this article intends to provide comprehensive suggestions for better implementation of equity incentives for listed companies on the Science and Technology Innovation Board. Finally, this article proposes future research directions.
ContributorsRao, Xiaomin (Author) / Chen, Pei-Yu (Thesis advisor) / Cheng, Shijun (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2024
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Description近20年,中国品牌零售业的快速发展使其成为全球第三大零售市场。消费者的需求量在大幅增长,对于本土企业来说,机遇与挑战并存。

对于连锁型品牌零售企业,员工是其产品和服务的载体。而如何做好不同层次的人员的激励体系,并得以踏实的落实和执行,是企业经营中非常关键的环节,也是品牌零售企业在竞争中获取优势的根本保证。另外,由于连锁零售企业基层员工流动性大、总体素质较低,如何对这部分员工实施有效的绩效考核,成为很多连锁零售企业管理人员面临的一个难题。

本文将长期和短期激励作为主要的研究内容。从整体国内企业来看,运转良好的绩效考评体系并不多,大部分企业的绩效考评体系只注重短期激励而忽视了长期激励的作用,绩效考评关注的是目标的实现,与员工的发展相脱节。因此,如何做好品牌企业的激励体系,如何在人才竞争中取得先机,并最大化企业利润,是本文研究的重心。

目前的研究空白在于对连锁型店铺的激励绩效。而考虑到品牌零售中的连锁经营往往涉及到成百上千家门店,涉及到的从业人数较多,因而对门店的激励绩效的成败是关系到企业整体激励绩效好坏的关键。

本文对激励绩效方案的相关理论进行回顾、分析与总结,从委托代理理论、激励理论、交易成本理论和产权理论入手,分析连锁型品牌零售企业的激励绩效特点。连锁型品牌零售企业合伙制本质上与特许经营精神及设计理念一致,而想要改进的正是特许经营中加盟店与总部的博弈与消耗,形成利益共同体,达到企业价值最大化的目标。

通过连锁型品牌零售企业绩效激励的真实案例(永辉超市合伙人制度、拉夏贝尔店铺合伙人制度、康奈零投入型与交股金型两种店铺合伙人制度)分析得出风险共担、超额利润分成的合伙人制度在连锁型品牌零售企业激励绩效方案设计中的可行性及意义,并从中发现了已有实践存在的问题,并提出建议。

店铺合伙人制度激励店长、提高单店销售业绩、减少交易成本、提高管理效率的正向作用毋庸置疑,建议在实践中积极推行与完善。
ContributorsZheng, Laili (Author) / Pei, Ker-Wi (Thesis advisor) / Chen, Xinlei (Committee member) / Zhu, Hongquan (Committee member) / Arizona State University (Publisher)
Created2019