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.

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.

As an alternative to the traditional public transportation system, (urban) rail transit has many advantages such as large capacity, fast speed, tight schedule, safety and comfort, and punctuality, , and has gradually become a top choice of many cities in countering environmental pollution and optimizing traffic quality. At the same time, we must also see that huge amounts of capital are required for the construction of rail transit. The traditional reliance on government investment clearly has its own limitations. The investment not only has a long cost-recovery cycle and a low rate of return, but also hardly attracts investments from the private sector. Therefore, when the government vigorously promotes the construction of a rail transit system, it is generally faced with problems such as a large funding gap and an overall financial loss. Therefore, how to establish a reasonable and efficient mode of investment and financing and further broaden the financing channels for rail transit projects is of great practical significance for improving the profitability of rail transit enterprises and realizing the sustainable development of rail transit. This thesis attempts to study the issue, in general, and further exmines a detailed case study of metro rail transit in a Chinsese city (city A), in particular.

The thesis first studies the concept and attributes of urban rail transit, and analyzes four modes and corresponding cases of urban rail transit investment and financing., It then discusses the characteristics of investment and financing of urban rail transit projects and the concept of investment and financing. Moreover, this thesis focuses on the current situation, characteristics and challenges of city A’s rail transit construction,. More specifically, it takes an in-depth look at the financial planning, investment and financing planning and the investment and financing channels products. The study innovatively puts forward three models, namely, PPP, TOD, ABS of rail transit investment and financing products. Based on the AHP decision-making method, the study shows PPP as the optimal integrated choice for city A. Finally, based on the core issues of the domestic urban rail transit project investment and financing, this thesis analyzes the rationality of the PPP model thoroughly and comes up with some managerial and policy suggestions on how to further optimize the investment and financing of the urban rail transit construction from the perspectives of the government management and the rail transit enterprises

Valuation adjustment mechanism has been widely applied in acquisitions of listed companies in China today, and is usually agreed upon future financial performance indicators of acquired companies (mostly net income). This paper examines how changes of key contents of VAM agreement affect firms’ ability to meet performance commitments from the perspective of incentive effects. Empirical results show that as the performance goals set in VAM agreement becomes higher, the incentive for management to meet performance commitments will initially increase and then decrease, so that the ratio of actual profits to promised profits for target firms will reach peak at some reasonable performance goal and then decrease. Second, as the level of the information asymmetry between buyer and seller turns higher, the incentive effect of performance goals becomes lower. Third, compared with cash-based compensation, stock-based compensation shows significantly higher incentive effects on promisors thus increasing the ability for target firms to achieve performance commitments.

Under the background of the "new normal" of China's economy and the contraction of traditional financial sector, the development of Internet finance provides new financing channels for SMEs and individual financial needs. But with rapid development of the Internet finance, the overall risk also appears gradually as well as the platform differentiation appears more evidently. China's Internet financial industry enters the stage of standardization development. In order to effectively prevent and resolve Internet financial risks and create a good internet financial environment, we need to identify the risk factors of Internet financial industry. Through reference carding of the existing literature, this paper proposes a research hypothesis that the industrial economic background is negatively related to the operating risk of the Internet financial platform. After descriptive statistical analysis of the current situation of the Internet financial industry in China, this paper collects 600 P2P net-lending platforms data manually, and uses Probit model to test the research hypothesis. Ceteris paribus, the result show that compared with the platform without industrial economic background, the risk probability of the industrial economic background platform will be reduced by 6.5 percentage points， and there is no regional difference in this result. This paper explains the result from two layers which are the relieving information asymmetry and the platform’s reputation mechanism. The study also finds that in addition to the industrial economic background, the P2P platform's registered capital, operation time, whether the platform funds have the corresponding third-party guarantee and the information disclosure of platform executives will significantly reduce business risk probability of the platforms. The above research conclusions also passed the robust test. Finally, this paper makes a case analysis of the two Internet Financial platforms in Suning Finance and Tuniu Finance, which have different industrial economic background and mode of operation. It also summarizes the risk control system.

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.

This study examines the 3 key questions of media budget allocation, to find our a better invest model. Including spending share of traditional media and digital media, program selection strategy and duration mix optimization to analyse the trend of sample A (a global cosmetic brand) . Based on every test media campaign, we do research of media performance and sales volumn, add youth consumer behavior result, to develop a media investment ROI model for this brand. Create the evaluation system according to past big data and find the learnings of different length TVC usage. Of course all relavant findings and implications will be summarized after every section.

Due to the booming young mothers and fathers in the new era as well as the changes in the concept of parenting and the favorable liberalization of China's second child policy, the maternal-baby nursing market continues to grow, and it has become a must for businesses nowadays. In 2020, the size of the maternal-baby nursing market will reach 3.6 trillion. (Data: Yibang Power China's Maternal and Child Industry White Paper 2017).

The rapid development of mobile Internet, highly transparent information, consumers grasp the sovereignty, along with the rise of the middle class, consumption increase encouraged personalized, customized needs. The boundaries between online and offline are becoming increasingly blurred. Consumers are more inclined to choose multi-category with service channel providers. If the retailers still rely on good market resources, and the difference between the sales and purchase of commodities, they will face a huge challenge of the decrease in passenger flow and a decline in performance.

The paper takes the relationship between maternal-baby nursing retailers and targets customers as the study object, based on customer service of maternal-baby nursing retailer data, empirical studies, we found that this particular group, mothers and babies, especially value safety, quality, public praise and community review. If the retail enterprise attaches importance to establishing relationships with customers and enhances the relational viscosity through mutual trust, emotional formation and spread of public praise, it will help to increase the traffic volume and increase the output value of single customers.

The maternal-baby nursing retailers form a strong relationship between enterprises and customers by establishing a strong relationship between products and customers, employees and customers, and customers to customers. Maternal-baby nursing retailers operate single-customer value deeply, build a heavy membership system and manage customer assets, thereby enhancing their brand and performance.

The research on the method of establishing the strong tie can be considered as an analysis of feasibility. The research results of this paper will help to improve the overall customer service experience and satisfaction of the mother and infant retail industry, enhance the development of the whole industry and draw significance lessons from other service industries.

As securities companies occupy an increasingly important position in the national economy, and the most valuable competitive advantage for whom is human resources; therefore, Security Industry practitioners pay close attention to the influences of securities companies' incentive mechanisms regarding to various business types.

This paper finds that asymmetry of information in business models is the motivation of the gaming for all participants, through analyzing the differences of various business models of securities brokerage services. Further, various incentive mechanisms under different circumstances result in diverse strategies of gaming. It varies development paths of securities companies. Therefore, the purpose of the paper is to theoretically deduce the most reasonable and optimal securities companies’ incentive mechanism.

This paper intends to identify the principle component factors influencing securities brokerage services via questionnaire investigations towards 75 branches under the same securities company and 13 different securities companies, respectively. In addition, based on historical data, the paper aim to explain rationales between adjustments of incentive mechanisms and market shares of securities brokerage services.Lastly, combining author’s personal experience of various incentive mechanisms and development tracks in four securities companies that hopefully presents valuable information and clues for deducing the optimal securities company incentive mechanism.

There are two critical agency relationships in securities brokerage services. One is between principals, securities companies, and agents which are directors of branches. The other is between principals, securities companies, and agents which are securities marketers or brokers. Because of such operational setup, information is highly asymmetrical between all parties. It brought prominent problems regarding agency relationship and motivation aspects.

Under the certain circumstances, implementation of Incomplete Contracting Theory with franchising models in securities companies is quite useful. Specifically, for the former relationship between securities companies and marketers, the motivation effects of sub-license franchising are better than bonus compensation structure. Fixed salaries without bonus have the worst stimulating effects in such business model. For the latter relationship between securities companies and directors of branches, the agents focus on long term residual value claim rights, since it coincides with agents’ appraisals, focusing on incremental market shares and profit drawings.

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.