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- All Subjects: strategic behavior
- All Subjects: repayment obligations
- Genre: Doctoral Dissertation
- Creators: Chen, Pei-Yu
- Creators: Wingert, Kimberly Marie
- Member of: ASU Electronic 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近些年来，我国城市化进程不断加快，到2020年我国常住人口城镇化率将达到60%左右，户籍人口城镇化率将会达到45%左右。伴随着我国城市化进程的高速推进以及经济水平的不断提高，公共物品及服务的需求程度加大，政府单独出资建设公共项目会导致资金不足、经营管理效率低下等问题。与此同时，我国当前不同层级地方政府的政府性债务都达到了一个非常高的水平，截至2017年末，中国地方政府债务16.47万亿元，债务率（债务余额/综合财力）为76.5%，其中地方负有偿还责任的债务约12.9万亿，地方政府性债务的控制和转化成为经济新常态下重要特征之一。在地方债务压力较大的情况下，PPP将替代土地财政和地方政府融资，为我国新型城镇化建设提供可持续的资金支持，PPP模式成为当前城市建设领域融资的重要选项。
据此，本文基于实证研究方法探讨在债务约束的背景下，在地方政府债务约束下，PPP模式的引入，对城市规划中建设用地面积、人口规划规模与容量、建设用地属性等的城市规划变量的影响；与此同时，考虑到地方政府的政策很大程度上受到是由地方官员，特别是受到作为地方政府党政“一把手”的市委书记和市长的晋升压力和激励的影响，讨论市委书记/市长的晋升压力和激励对PPP模式引入效果的影响。研究发现，在地方政府债务约束下，PPP模式的引入，显著增加城市规划中建设用地面积、人口规划规模与容量、建设用地属性等的城市规划变量；同时，地方政府官员存在利用PPP放大城市建设和规划规模的行为，反映了PPP项目在引入和使用的过程中很大程度上受政府官员的激励的影响。
据此，本文基于实证研究方法探讨在债务约束的背景下，在地方政府债务约束下，PPP模式的引入，对城市规划中建设用地面积、人口规划规模与容量、建设用地属性等的城市规划变量的影响；与此同时，考虑到地方政府的政策很大程度上受到是由地方官员，特别是受到作为地方政府党政“一把手”的市委书记和市长的晋升压力和激励的影响，讨论市委书记/市长的晋升压力和激励对PPP模式引入效果的影响。研究发现，在地方政府债务约束下，PPP模式的引入，显著增加城市规划中建设用地面积、人口规划规模与容量、建设用地属性等的城市规划变量；同时，地方政府官员存在利用PPP放大城市建设和规划规模的行为，反映了PPP项目在引入和使用的过程中很大程度上受政府官员的激励的影响。
ContributorsXu, Ke (Author) / Chen, Pei-Yu (Thesis advisor) / Zhu, Qigui (Thesis advisor) / Chen, Xin (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