Matching Items (22)
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Description
Online product ratings offer consumers information about products. In this dissertation, I explore how the design of the rating system impacts consumers’ sharing behavior and how different players are affected by rating mechanisms. The first two chapters investigate how consumers choose to share their experiences of different attributes, how their

Online product ratings offer consumers information about products. In this dissertation, I explore how the design of the rating system impacts consumers’ sharing behavior and how different players are affected by rating mechanisms. The first two chapters investigate how consumers choose to share their experiences of different attributes, how their preferences are reflected in numerical ratings and textual reviews, whether and how multi-dimensional rating systems affect consumer satisfaction through product ratings, and whether and how multi-dimensional rating systems affect the interplay between numerical ratings and textual reviews. The identification strategy of the observational study hinges on a natural experiment on TripAdvisor when the website reengineered its rating system from single-dimensional to multi-dimensional in January 2009. Rating data on the same set of restaurants from Yelp, were used to identify the causal effect using a difference-in-difference approach. Text mining skills were deployed to identify potential topics from textual reviews when consumers didn’t provide dimensional ratings in both SD and MD systems. Results show that ratings in a single-dimensional rating system have a downward trend and a higher dispersion, whereas ratings in a multi-dimensional rating system are significantly higher and convergent. Textual reviews in MDR are in greater width and depth than textual reviews in SDR. The third chapter tries to uncover how the introduction of monetary incentives would influence different players in the online e-commerce market in the short term and in the long run. These three studies together contribute to the understanding of rating system/mechanism designs and different players in the online market.
ContributorsLiu, Ying (Author) / Chen, Pei-Yu (Thesis advisor) / Hong, Yili (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2018
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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

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
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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。
ContributorsWan, Jianying (Author) / Chen, Pei-Yu (Thesis advisor) / Wu, Fei (Thesis advisor) / Chen, Xinlei (Committee member) / Arizona State University (Publisher)
Created2019
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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。
ContributorsXu, Ke (Author) / Chen, Pei-Yu (Thesis advisor) / Zhu, Qigui (Thesis advisor) / Chen, Xin (Committee member) / Arizona State University (Publisher)
Created2019
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Description基于中国人口老龄化加速、目前人均医疗支出偏低和国内医疗器械企业以中低端产品

为主的局面,中国的医疗器械行业正面临着巨大的发展机遇,投融资活动将迎来爆发式增

长。 在此背景下, 医疗器械企业的估值研究对投融资双方都有较大的意义。

我们假设医疗器械公司的产品差异度对其公司的估值有正面影响。

产品差异度定义为:该产品区别于其他竞争性产品的独特性,由以下六个方面构成:

产品唯一性水平、先进性(器械类别、优秀国产医疗设备个数、产品的专利化程度)、利润

边际和其市场容量,并对此用 12 个指标做出了定量的估计。本研究主要的数据来源是上市

的医疗器械公司,因为这些公司的相关数据取得比较容易且数据客观性较强。我们使用一

般回归分析测量产品差异度与公司估值之间的关系。在得出正面的回归结果之后, 我们采

用双重差分分析(DID)方法,验证实际情形下新产品相关信息发布对公司股价波动的影响。

根据回归分析结果:

1、 “产生营收的产品唯一性水平”和“边际利润”与市值有显著相关性: 说明医疗器械

类企业确实是核心产品驱动发展的, 产品唯一性程度高(已剔除那些已逐渐被市场淘汰的

产品) 说明市场定价能力强, 边际利润率高,盈利能力强, 进而对公司估值形成正面影

响。

2、 “”净利润“和”“互联网概念”与市值也呈现显著相关性。净利润的相关性是显而易见

的。互联网概念的相关性体现了互联网+医疗成为近几年市场的风口。

iv

3、 其他一些指标未呈现明显的相关性,有可能是因为我们的数据量太少引起的, 也

有可能还有其他未在我们考虑范围内的因素导致的,也可能是因为中国目前的股票市场还

未到达半强式有效市场。这可能对其他行业的影响也是如此。

在后面进行的实证分析中, 除个别情况外,我们发现公司重磅新产品相关信息的发布

基本上对公司之后 1-30 个交易日的股价起到了较明显的推动作用。

关键词: 产品差异度 医疗器械行业 公司估值
ContributorsShen, Huifeng (Author) / Chen, Pei-Yu (Thesis advisor) / Wang, Tan (Thesis advisor) / Jiang, Zhan (Committee member) / Arizona State University (Publisher)
Created2018
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Description随着科技的发展,许多新兴技术被用于提高企业营销策略的精准性和有效性,如大数据、人工智能、虚拟现实等。基因检测作为新时代的生物技术,随着其成熟与普及,也逐渐被用于提高企业经营决策的有效性。基因检测能较真实地反映出人体的生理信息,不仅能帮助顾客了解其实际需求,也有助于企业针对性开发新产品和提供精准营销活动。本研究检验了企业营销活动中使用基因检测对消费者购买的提升作用,并尝试探讨相关机制。首先,本研究与护肤品品牌百雀羚合作,通过实验法观察并收集了使用基因检测和未使用基因检测的消费者购买数据,分析发现,不考虑其他因素时,基因检测能显著提高消费者护肤购买行为。短期内,基因检测对老顾客购买行为提升作用更强。长期来看,基因检测对新顾客购买行为提升作用更强。而在平均消费水平更高的地区,基因检测的作用更强。另外,本研究通过电话访谈的方式,进一步收集数据分析发现,肤质相关基因检测能显著提高消费者购买推荐护肤品的意愿。而当存在感知有用性时,愿意购买推荐护肤品的顾客人数会进一步提高。本研究发现基因检测可以有效提高顾客的购买行为和购买意愿,丰富了新技术与精准营销、客户关系管理等文献的内容。为进一步分析基因检测影响消费者购买行为和购买意愿内部作用机制的研究提供了初步尝试和基础支持。另外,本研究的结论也为企业利用基因检测技术提高营销策略和营销活动的有效性和精准性提供了启发和借鉴。
ContributorsWu, Jian (Author) / Chen, Pei-Yu (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Li, William (Committee member) / Arizona State University (Publisher)
Created2022
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Description近年来,越来越多的工作团队将功能性领导角色分配给那些具有必要才能的成员。认识到这一趋势,领导学领域的学者开始将他们的关注重点从自上而下的垂直影响过程转移到团队成员之间的水平和共享的领导过程。共享领导,被定义为一种团队现象,即领导的角色和影响力在团队成员中分配,已经在一系列学术领域中得到了相当大的关注,包括工业和组织心理学、组织行为学、战略管理、和创业管理等。与其他领导理论关注正式任命的领导者的领导作用不同,共享领导强调团队成员在团队领导过程中的代理作用。特别是,越来越多的证据表明,共享领导在提高团队效率方面发挥着积极的作用。因此,共享领导力是一个有趣的新领域,它丰富了我们对领导力的理解,并将领导力范式从将领导力视为个人的属性转变为将领导力视为集体的属性。本文以AR公司的技术或研发团队为例,对其共享型领导的典型特征、表现形式以及对员工个体创造力和离职意向的影响机制进行了分析。第一,理清了技术型团队共享型领导的特征与表现形式。技术团队共享型领导主要实现了领导力与影响力在团队成员内部之间的共享和横向分担,且领导与下属之间的角色界限也变得模糊。同时,技术团队共享型领导表现在开放性的领导风格、团队内部的知识分享与共同学习以及领导角色定期轮换与交流等。第二,探讨技术型团队共享型领导对个体创造力与离职意向的影响机制。本文采用定量实证研究方法,按照量表开发、数据采集、数据分析等程序,检验共享型领导对个体创造力与离职意向的影响机制,研究发现:共享型领导能够正向影响员工的团队认同;员工的团队认同能够负向影响其离职意向;员工团队认同在共享型领导与员工离职意向之间具有中介作用;共享型领导与心理授权正相关;心理授权与个体创造力正相关;员工的心理授权在共享型领导与员工创造力之间有显著的中介作用;支持性人力资源实践在在共 享型领导与员工心理授权之间起到调节作用;支持性人力资源实践在在共享型领导与员工团队认同之间起到调节作用。
ContributorsJi, Pengwei (Author) / Chen, Pei-Yu (Thesis advisor) / Hu, Jie (Thesis advisor) / Zhang, John (Committee member) / Arizona State University (Publisher)
Created2022
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Description
The advancement of information and communication technology (ICT) has significantly transformed how people communicate and obtain information in both their personal and professional lives. In the realm of digitally-facilitated social interaction, this dissertation calls for attention to the importance of information technology artifacts (IT artifacts) on social welfare by showcasing

The advancement of information and communication technology (ICT) has significantly transformed how people communicate and obtain information in both their personal and professional lives. In the realm of digitally-facilitated social interaction, this dissertation calls for attention to the importance of information technology artifacts (IT artifacts) on social welfare by showcasing that the careful design and usage of IT artifacts have the potential to enhance the effectiveness, efficiency, and fairness of social interactions. The first study centers around addressing the cold-start issue that often arises when new products are introduced. Specifically, I investigate how machine-generated content can enhance the equity of new products. Analyzing data from Kaggle.com, my research demonstrates that the use of machine-generated content is effective in tackling the cold-start problem by increasing the adoption of the product in the initial phase. Additionally, my findings reveal that machine-generated content can also reduce information asymmetry for users regarding the datasets or associated providers. As a result, these outcomes provide strong evidence supporting the use of machine-generated content to enhance equity in online communities. The second research investigates the impact of a platform’s decision to impose application fees on enhancing the quality of matching results in an online labor market. Based on data obtained from Freelancer.com, my analysis demonstrates that the implementation of application costs serves as a motivator for workers to submit fewer but more selective bids. This, in turn, increases the likelihood of employers offering contracts, as workers are less likely to apply casually or without much thought. Overall, these results indicate that application costs can enhance the efficiency of the matching process. In the third study, I examine whether gender differences exist in telework adjustment as a response to disasters and to what extent such adjustments can help reduce gender inequality, using the COVID-19 pandemic as an example. The study's findings reveal the following: 1) Female workers exhibit a higher rate of telework adjustment than their male counterparts by 7% after accounting for differences in job sorting, and female workers are more responsive to external constraints. 2) Telework adjustment can help mitigate gender inequality in the labor market.
ContributorsHou, Jingbo (Author) / Chen, Pei-Yu (Thesis advisor) / Gu, Bin (Committee member) / Hong, Yili (Kevin) (Committee member) / Arizona State University (Publisher)
Created2023
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Description随着我国市场经济的高速发展和城乡居民消费水平的日益提高,我国老年市场有着极为广阔的发展空间,老年辅助用品行业是发展潜力巨大的朝阳产业。然而国内许多企业都面临着经营方向不明确、营销方案不清晰等问题,这些问题严重影响了老年产品及服务的发展,同时也延缓了我国老年产业的发展进程。因此,本文以老年辅助用品行业的客户满意度为研究对象,分析情感营销对老年客户满意度的影响,以及健康顾问对客户满意度的影响。

本研究主要包括以下内容。首先,在文献梳理和政策研究的基础上,系统阐述情感、情感营销、顾问式情感营销、老年辅助用品等相关概念、特点,以及系统回顾情感营销相关理论,同时详细分析了我国老年辅助用品市场的现状以及未来的发展方向,随后对国内外有关老年辅助用品的研究文献进行了总结归纳。其次,基于理论回顾的内容提出了本研究的四个具体假设,并构建了相应的分析模型。紧接着开发并检验了量表,对数据进行了描述性统计及相关性分析,采用了层次分析的方法对上述假设进行了分析和检验,并详细探讨了产品情感营销和服务情感营销具体维度对老年客户满意度的影响。最后,得出了相关结论,即产品情感营销和服务情感营销能够显著提高老年客户的满意度水平,健康顾问的专业素养和心理素质也能显著提高老年客户的满意度水平。此外,也进一步提出本研究的理论意义和实践意义,以及存在的不足和未来研究展望。

关键词: 情感营销;健康顾问;客户满意度;老年辅助用品
ContributorsZhan, Jianxing (Author) / Chen, Pei-Yu (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Zhu, Qigui (Committee member) / Arizona State University (Publisher)
Created2020
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Description如何提高员工的激励效应是本世纪人力资源管理的一个重大课题,对于处于竞争劣势地位的民营企业来说,激励员工、留住人才尤为重要。论文借鉴国内外对员工激励的一般理论和相关文献研究成果,从人力资源建设入手,首先总结了员工的基本特征及要求,随后对B网络公司进行实证研究,采用深度访谈与问卷调查的方法主要从以下几方面进行调研:员工的热情、工作满意度、员工沟通与合作、员工流失及对公司管理的满意度、薪酬满意度、晋升制度、增长机会、工作条件。通过问卷调查对B网络公司职工的激励因素进行梳理和整合,并从问卷统计结果中了解激励需求,进一步深入了解和掌握公司员工的实际需求和工作满意度,并审核公司员工激励管理制度,同时分析该公司的激励现状及存在问题。

B网络公司有150名员工接受了调查,实际回收问卷143份,其中有效问卷142份,问卷有效率为94.67%。调查发现,B网络公司员工的工作满意度不高,公司的管理理念也相对落后,与员工切身利益相关的薪酬设计存在不科学现象,晋升制度不合理导致成长机会缺乏。当公司的激励政策无法让其对工作满意度、公司的管理、薪资、晋升制度和员工的成长机会等感到满意时,那么如果有外部的跳槽机会或者创业条件,员工的企业忠诚度会下降,员工很有可能在适当时机离开原来的公司,人才流失不可避免。另外即使员工仍然选择继续留在原来的企业,但是其工作积极性因为付出与回报的不成正比差会导致员工消极怠工,员工的业绩和表现也会下降,不利于公司的长远发展。为验证以上假设,论文运用调研问卷和统计分析方法验证股权激励、员工忠诚度与业绩之间的相互关系假设。通过信度和效度检验进而确定最终问卷的有效性与合理性。论文检验发现:员工忠诚度对员工绩效有显着的正面影响;股权激励对员工绩效有显着的正向影响;员工忠诚度对股权激励计划与绩效影响之间的关系具有积极影响。

通过有效的激励制度激励员工,满足他们的需求,充分发掘、利用和发展员工的创造力和潜力,激发员工的工作热情,提高员工的满意度从而加强员工的忠诚度和业绩对现代人力资源管理的发展具有较好的理论意义和实践价值。论文从股权激励机制设计,企业文化,成长激励机制,沟通机制等方面对现行激励政策提出改进建议,进而为B网络公司有效降低员工流失率,增加工作积极性,充分发挥员工自己的才能,激发员工的创造力和工作潜力,这有助于为该公司未来发展提供强大的人力资本战略支撑,同时也为完善现代企业制度建设,改善合理的分配制度与构建科学员工价值观提供了一个实证案例。

关键词: 民营企业;股权激励;员工忠诚度;员工业绩
ContributorsLi, Zongjian (Author) / Chen, Pei-Yu (Thesis advisor) / Cheng, Shijun (Thesis advisor) / Chen, Xin (Committee member) / Arizona State University (Publisher)
Created2020