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- All Subjects: strategic behavior
- All Subjects: Overseas investment
- Genre: Doctoral Dissertation
- Creators: Chen, Pei-Yu
- Creators: Wingert, Kimberly Marie
- Member of: ASU Electronic Theses and Dissertations
- Member of: Theses and Dissertations
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 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.
ContributorsLi, Chunxiao (Author) / Gu, Bin (Thesis advisor) / Chen, Pei-Yu (Committee member) / Xiong, Hui (Committee member) / Arizona State University (Publisher)
Created2019
Description理性决策理论基于“完全理性”假定，追求帕累托最优即个体的利益最大化。但是实际决策过程中，人的行为具备“有意识的理性，但这种理性又是有限的”，投资者也是并不是完全理性、同质的。海外投资也是如此，其背景特征诸如地域、性格、年龄、财富等特征都会对海外投资决策产生重大的影响，其程度大小势必也会因投资者背景特征的差异有所不同。考虑到投资者风险偏好与海外投资活动的关系鲜有文献涉及，笔者愿意做“第一个吃螃蟹的人”，选取该视角展开论述。
本文首先对前人的研究进行总结，概述了风险偏好的理论和偏好水平的度量办法，并总结了风险偏好对海外投资影响的理论基础，即决策理论和有限理性与行为经济学理论，为本文的研究奠定了坚实的理论基础。
其次，开展了问卷调查，对小城市城镇人群、二三线大城市人群、一线大城市人群、海外华人群体等不同地域的25-60岁之间的人群作为调查对象，回收了有效问卷3748份，并就问卷结果进行了描述性分析。发现跨地域人群有着不同的投资需求，小城市城镇人群整体来说对于海外投资需求较低；二三线大城市人群对海外投资不抗拒且具备一定研究和分析能力；一线大城市人群26%已考虑移民或大量海外投资，对海外投资产品有很强的分析能力；海外华人群体38%已考虑移民或大量海外投资，对于各类海外投资产品的接触机会很多。
再次，本文对风险偏好水平进行综合评价和度量。在此基础上，设定了研究变量和研究模型，采用回归分析的方法，对跨地域人群风险偏好、跨地域人群风险偏好对海外投资影响两块进行了实证分析，并验证了相关假设。本文认为，跨地域人群具有较为明显的风险偏好，其中一线城市人群风险偏好最高，高于海外华人群体，高于二三线大城市人群和小城市城镇人群。基于教育水平、财富程度和信息获取的风险偏好对海外投资影响的实证分析结果显示，风险偏好越高的区域，海外投资总额越多。充分验证了跨地域人群不同的风险偏好，以及风险偏好对海外投资的显著正向影响关系。最后，本文针对实证结果提出了相应的对策建议。
本文首先对前人的研究进行总结，概述了风险偏好的理论和偏好水平的度量办法，并总结了风险偏好对海外投资影响的理论基础，即决策理论和有限理性与行为经济学理论，为本文的研究奠定了坚实的理论基础。
其次，开展了问卷调查，对小城市城镇人群、二三线大城市人群、一线大城市人群、海外华人群体等不同地域的25-60岁之间的人群作为调查对象，回收了有效问卷3748份，并就问卷结果进行了描述性分析。发现跨地域人群有着不同的投资需求，小城市城镇人群整体来说对于海外投资需求较低；二三线大城市人群对海外投资不抗拒且具备一定研究和分析能力；一线大城市人群26%已考虑移民或大量海外投资，对海外投资产品有很强的分析能力；海外华人群体38%已考虑移民或大量海外投资，对于各类海外投资产品的接触机会很多。
再次，本文对风险偏好水平进行综合评价和度量。在此基础上，设定了研究变量和研究模型，采用回归分析的方法，对跨地域人群风险偏好、跨地域人群风险偏好对海外投资影响两块进行了实证分析，并验证了相关假设。本文认为，跨地域人群具有较为明显的风险偏好，其中一线城市人群风险偏好最高，高于海外华人群体，高于二三线大城市人群和小城市城镇人群。基于教育水平、财富程度和信息获取的风险偏好对海外投资影响的实证分析结果显示，风险偏好越高的区域，海外投资总额越多。充分验证了跨地域人群不同的风险偏好，以及风险偏好对海外投资的显著正向影响关系。最后，本文针对实证结果提出了相应的对策建议。
ContributorsWan, Jianying (Author) / Chen, Pei-Yu (Thesis advisor) / Wu, Fei (Thesis advisor) / Chen, Xinlei (Committee member) / Arizona State University (Publisher)
Created2019
Description
Working memory capacity and fluid intelligence are important predictors of performance in educational settings. Thus, understanding the processes underlying the relation between working memory capacity and fluid intelligence is important. Three large scale individual differences experiments were conducted to determine the mechanisms underlying the relation between working memory capacity and fluid intelligence. Experiments 1 and 2 were designed to assess whether individual differences in strategic behavior contribute to the variance shared between working memory capacity and fluid intelligence. In Experiment 3, competing theories for describing the underlying processes (cognitive vs. strategy) were evaluated in a comprehensive examination of potential underlying mechanisms. These data help inform existing theories about the mechanisms underlying the relation between WMC and gF. However, these data also indicate that the current theoretical model of the shared variance between WMC and gF would need to be revised to account for the data in Experiment 3. Possible sources of misfit are considered in the discussion along with a consideration of the theoretical implications of observing those relations in the Experiment 3 data.
ContributorsWingert, Kimberly Marie (Author) / Brewer, Gene A. (Thesis advisor) / McNamara, Danielle (Thesis advisor) / McClure, Samuel (Committee member) / Redick, Thomas (Committee member) / Arizona State University (Publisher)
Created2018