Matching Items (58)

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The Impact of Partnership Adoption on Employees’ Awareness of Risk Control and Job Engagement: Evidence from a Securities Company in China

Description

This study investigates the impact of a specific organizational form – partnership – on employees’ awareness of risk control and job engagement in securities companies. Given that their organizational performance

This study investigates the impact of a specific organizational form – partnership – on employees’ awareness of risk control and job engagement in securities companies. Given that their organizational performance relies heavily on the performance of individual employees, it is critical for securities companies in China to adopt appropriate organizational forms so that they can better captalize on their employees’ human capital to cope with the increasingly intense market competition. Partnership, as one of the few organizational forms, has been widely adopted in industries that rely on the performance of individuals, such as law, auditing, consulting, and investment banking, around the world. In the context of China’s emerging economy, it has also been adopted as an incentive system by market leaders across several industries, including Alibaba in online shopping, Vanke in real estate, and Fosun in investments. In contrast, partnership has not been adopted or implemented by securities companies in China as most of them are still state-owned enterprises.

Based on my review of the corporate governance literature and qualitative analysis of partnership adoption in China, I propose that partnership can help better alighn the interests of employees with owners in securities companies as well. Specifically, the prospect of becoming a partner in the future can improve employees’ awareness of risk control and increase their job engagement. Taking advantage of partnership adoption at a Chinese securities company as a natural field experienment, I surveyed its employees about their awareness of risk contrl and job dedication before and after the adoption. The results from 505 matched surveys showed an increase in the average scores of both awareness of risk control and job dedication after the company adopted partnership as a new organizational form. Findings of this study have important implications for organizational and incentive design for securities companies in China.

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  • 2018

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The: behavior study on individual investors in China's bond market

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During the past decade, the Chinese bond market has been rapidly developing. The percentage of bond to total social funding is constantly increasing. The structure and behavior of investors are

During the past decade, the Chinese bond market has been rapidly developing. The percentage of bond to total social funding is constantly increasing. The structure and behavior of investors are crucial to the construction of China’s bond market. Due to specific credit risks, bond market regulation usually involves in rules to control investor adequancy. It is heatedly discussed among academia and regulators about whether individual investors are adequate to directly participate in bond trading. This paper focuses on the comparison between individual and institutional bond investors, especially their returns and risks. Based on the comparison, this paper provides constructive suggestions for China’s bond market development and the bond market investor structure.

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  • 2016

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Research on Sales & Marketing Channel Models and Innovations in China's Nutrition and Wellness Health Industry—Based on By-Health

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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

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.

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  • 2018

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Dynamics of information distribution on social media platforms during disasters

Description

When preparing for and responding to disasters, humanitarian organizations must run effective and efficient supply chains to deliver the resources needed by the affected population. The management of humanitarian supply

When preparing for and responding to disasters, humanitarian organizations must run effective and efficient supply chains to deliver the resources needed by the affected population. The management of humanitarian supply chains include coordinating the flows of goods, finances, and information. This dissertation examines how humanitarian organizations can improve the distribution of information, which is critical for the planning and coordination of the other two flows. Specifically, I study the diffusion of information on social media platforms since such platforms have emerged as useful communication tools for humanitarian organizations during times of crisis.

In the first chapter, I identify several factors that affect how quickly information spreads on social media platforms. I utilized Twitter data from Hurricane Sandy, and the results indicate that the timing of information release and the influence of the content’s author determine information diffusion speed. The second chapter of this dissertation builds directly on the first study by also evaluating the rate at which social media content diffuses. A piece of content does not diffuse in isolation but, rather, coexists with other content on the same social media platform. After analyzing Twitter data from four distinct crises, the results indicate that other content’s diffusion often dampens a specific post’s diffusion speed. This is important for humanitarian organizations to recognize and carries implications for how they can coordinate with other organizations to avoid inhibiting the propagation of each other’s social media content. Finally, a user’s followers on social media platforms represent the user’s direct audience. The larger the user’s follower base, the more easily the same user can extensively broadcast information. Therefore, I study what drives the growth of humanitarian organizations’ follower bases during times of normalcy and emergency using Twitter data from one week before and one week after the 2016 Ecuador earthquake.

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  • 2018

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IT-enabled monitoring in the gig economy

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,

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.

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  • 2019

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村级集体经济发展的不平衡性与影响因素研究 ——以无锡市滨湖区为例

Description

摘要

当前中国农村集体经济呈现出后劲不足、区域失衡等问题。在此背景下,如何破解集体经济发展困境、实现其从梯度到均衡的演进成为学术领域关注的热点。本文梳理总结了国内外集体经济的相关研究成果,阐述了主要涉及的基础概念、理论和方法模型;以2008~2015年无锡市滨湖区92个村为研究样本,分析了该区域集体经济的发展现状和演变进程;构建面板回归模型,探索了该区域集体经济发展的驱动因素与分布不平衡性;并从空间关联视角切入,探索了驱动因素的溢出效应;最后基于研究结果提出对策建议。主要结论如下:

(1)2008~2015年,92个村的村级集体经济发展整体呈现上升趋势,但地区间的贫富差距明显;2008年、2011年和2015年92个村按村级集体经济总收入可划分为高、中、低3类,并且在不同时段,各等级间的村级集体单位会相互迁移;集体经济收入呈现明显的右偏分布,尖峰厚尾的特征显著。随着时间的推移,集体经济发展出现了“双峰趋同”的现象。

(2)普通面板回归显示,物质资本、经济工作能力、科技进步对于村级集体经济发展有正向的依次减弱的影响,人口数量的影响为负;面板分位数回归显示,随着分位数水平的提高,物质资本系数先上升、后下降再上升;经济工作能力系数逐渐减小;人口规模系数先下降后上升;科技进步系数波动上升。

(3)空间计量结果显示,各变量对于村级集体经济发展具有一定的溢出效应,其中,物质资本的溢出效应为正(不显著),经济工作能力的溢出效应为正(显著),人口因素的溢出效应为负(不显著),科技进步的溢出效应为正(显著)。

本文的创新之处在于使用较难获取的2008-2015年92个村面板数据进行回归,相比于截面数据,更准确地测度了各要素对集体经济的真实影响;将空间关联因素纳入研究视域,探究了村级集体经济驱动因素的空间溢出效应。

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  • 2019

移动金融科技对农村商业银行行间竞争力影响

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。

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  • 2019

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家居供应链信息共享影响因素实证研究

Description

现今的理论研究及实践表明,供应链上各个企业进行协调运作的基础是节点企业间有效信息进行高效传递。但供应链上下游企业在合作过程中通常存在信息不完全对称现象、牛鞭效应等问题,供应链中信息传递的实时性及真实性受到较大影响,这也是导致供应链管理整体效率不高的原因之一。因此,供应链伙伴间信息共享问题已是国内外学者普遍关注的焦点。本文旨在针对目前我国家居供应链企业间信息沟通不畅、信息共享不充分的问题及其理论研究的不足,来开展针对影响家居供应链企业间信息共享因素的实证研究。本文基于家居供应链这一特殊的行业供应链,建立基于家居供应链企业间信息共享关键影响因素理论模型,通过实证方法来寻找影响供应链企业间信息共享的关键因素及其具体影响程度。

在已有文献的基础上,本文提出信任、共同愿景、信息技术能力、渠道权力结构与信息共享间影响关系的概念模型,并对长三角及珠三角地区家居供应链经销商企业进行问卷调查研究。最后在回收的 164 份有效问卷基础上通过数据分析来验证假设。研究结果显示:(1)不论是家居工厂与经销商间还是家居卖场与经销商间,信任对共享信息的内容和质量都有显著正向影响。(2)家居工厂与经销商间的共同愿景对彼此间信息共享内容有显著正向影响作用,但对信息共享质量作用不明显。而家居卖场与经销商间的共同愿景对信息共享的内容和质量都有正向影响作用。(3)经销商的信息技术能力对双方间信息共享的内容和质量都有显著影响,同时,还能促进家居工厂与经销商之间的信任,间接影响双方的信息共享程度。(4) 家居卖场与经销商间的渠道权力对双方间的信任程度有显著影响,而对双方间的信息共享没有直接影响。

本研究主要研究贡献在于:发现影响家居供应链信息共享的关键因素,弥补了现有文献对中国供应链企业信息共享影响因素研究的不足,特别聚焦于家居供应链;从供应链上下游整体角度出发,探讨了中国情境下信任、共同愿景、信息技术能力和渠道权力结构与信息共享之间的作用机理。

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Date Created
  • 2019

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从资源配置角度研究中国商品期货市场有效性

Description

中国商品期货市场经历30年发展,已初备协调资源分配、对冲经营风险的功能。但受产业自身和期货市场发展的制约,各期货品种市场有效性参差不齐。随着我国经济从增量阶段过渡到存量阶段,期货作为企业的价格管理和风险控制工具的重要性日益凸显,因此研究我国商品期货市场有效性具有非常好的现实意义。

本文开创性的从期货的基本功能——资源配置的角度出发,提出有效市场是指其期货价格能够对本行业社会资源起到合理的调配作用的市场。在内容安排上,本文首先总结了现有国际成熟期货品种的特点并找出能够反映期货对资源配置能力的四个指标假说,分别为期现回归性、利润波动性、库存波动性以及现金流变化,然后通过数学模型证明指标数据和品种成熟度的关联,最后应用该套指标对我国商品市场有效性进行检验。数学方法上,本文先采用Bai-Perron内生多重结构突变模型对时间序列进行突变点检验,然后对断点时间序列分别进行多元回归,并在剔除季节性和周期性后,通过平稳性检验、ARCH效应检验结果来确定相应的Garch模型,并用Garch模型来描述时间序列的波动性。

通过数学验证,我们认为期现回归性、利润波动性、库存波动性以及现金流变化这四个指标可以作为反映期货成熟度的检验指标,用该套方法对国内部分活跃品种检验后发现大连豆粕期货已经具备成熟品种的特征,本文认为豆粕期货市场是有效的;PTA、玉米淀粉期货的四个检验指标在近年来表现出时间序列优化的特点,但因时间较短尚不稳定,可以认为是接近成熟的品种;而螺纹钢和铝期货在多数指标上表现不佳,表明他们对社会资源配置能力较差,因此本文认为螺纹钢和铝期货市场是活跃但非有效的。通过进一步分析,本文认为品种的期现回归性差是制约其资源配置能力发挥的关键因素,而交易标的不明确、

仓单制作难度大、产业参与度低以及期货设计中的其他限制因素又是导致期现回归性差的重要原因。

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Date Created
  • 2019

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Understanding, Analyzing and Predicting Online User Behavior

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

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.

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Date Created
  • 2019