Matching Items (147)
Description在我国绩效管理领域，国内企业目前大多仅适用客观评价指标，而往往忽略了更有弹性的主管评价等主观评价指标。但在世界范围内，随着绩效管理理论的不断发展，以平衡计分卡（BSC）为代表的新型绩效管理体系管理范围更加广泛，除了客观业绩之外，还将很多主观指标也纳入绩效评价系统内，并且得到了诸多跨国公司的引用。为了探究以主管评价为代表的主观指标与客观业绩之间的关系，本文以R公司为例，基于其内部的实际数据，分析了员工业绩与主管评价之间的相互关系。研究发现，员工历史客观业绩与主管评价呈正相关关系，且相较于员工长期客观业绩，这种关系在员工短期业绩中更加明显。基于此，研究还发现，主管历史评价与员工后期的客观业绩也呈正相关关系，且相较于前期主管评价，这种关系在当期主管评价中更加明显。除此之外，本文还发现主管和员工的性别差别和学历差别会同时减弱上述员工业绩与主管评价之间的正相关关系。综上，本文研究结果为企业设计和制定绩效考核标准提供了一定的参考，有助于企业更好地进行绩效体系的构建。
ContributorsJin, Tao (Author) / Shen, Wei (Thesis advisor) / Chang, Chun (Thesis advisor) / Wu, Fei (Committee member) / Arizona State University (Publisher)
Created2022
Description自雇司机是公路货运司机中比例人数最多、最基层的一员，他们在公路物流行业中扮演着极为重要的角色，他们承担着各种来源的压力。本文以疫情前后按揭购买卡车的自雇司机为研究样本，基于本研究收集到的独特数据，研究发现自雇卡车司机在面临按揭压力时，倾向采取更为激进的经营及驾驶行为，表现为更少的休息天数、更长的工作时长以及更危险的高速驾驶行为，并在一系列稳健性检验中基本结论仍然存在；基于新冠疫情事件研究发现，新冠疫情带来的非预期性经济停摆和收入中断，导致疫情前的发生的按揭贷款的卡车司机面临更强的还款压力，在经济恢复后面对按揭压力更有可能采用激进的经营和驾驶行为；进一步，通过机制检验研究本文发现这种按揭压力主要表现为担心当前或者未来发生不能及时偿还按揭款。再者，基于人格性征和家庭支持的调节效应检验，本文发现神经质人格特征、谨慎尽责性人格特征以及工作压力感没有在按揭压力与自雇卡车司机激进的经营和驾驶选择上起到调节作用，这可能是自雇卡车司机面临的按揭压力都很大，个体性格特征很大程度无法缓和其压力感，而家庭的支持和家庭-工作平衡可以有效缓解自雇卡车司机面临按揭压力时提高工作时长和危险驾驶行为的倾向。
最后，本文设计一项随机对照干预实验，向自雇卡车司机发送短息或者微信，提醒他们避免疲劳驾驶和危险超速驾驶，然后观察发送短信微信前后自雇卡车司机经营及驾驶行为的变化，识别考察外界积极主动的关心和提醒能否起到相应的后果。本文发现对自雇卡车司机获得外部主动积极地的关心和提醒，在面临按揭压力时意识到简单地减少休息增加运营时长以及采用危险驾驶行为抢时间的策略可能给其带来很大的风险，从而相应地缓解对按揭压力的过度反应；进一步调节作用检验表明，短信干预实验在神经质和谨慎尽责性人格司机中起到更大的减缓作用，同时家庭支持较少时短信干预实现效应也更为明显。
ContributorsMa, Liqun (Author) / Shen, Wei (Thesis advisor) / Wu, Fei (Thesis advisor) / Zhang, Zhen (Committee member) / Arizona State University (Publisher)
Created2021
Description
Handheld devices and personal laptops are becoming compact and complex every year with a demand to have higher power density, efficiency, and fast transient response. DC-DC boost converters are used in display and haptic drivers where the output voltage needs to be boosted higher than input voltage. The load transient response and unity gain bandwidth (UGB) of DC-DC boost converters are restricted by the presence of a right half plane zero (RHPZ). In this paper, a control scheme termed peak current fast feedback control (PFFC) is proposed to improve the load transient response without the need for additional power switches or passive components. The fast feedback (FFB) path is designed to achieve low output voltage change and fast settling time with the same UGB when compared to the conventional peak current mode control (CPCM). In the proposed PFFC method, the closed loop output impedance (ZOCL) is improved by reducing the DC value and by increasing the bandwidth of ZOCL as compared to conventional peak current mode control (CPCM), thus improving the steady state and transient performance. The fast feedback (FFB) path is implemented within the error amplifier (EA) with an increase of only 2% in the active area as compared to CPCM. The boost converter is designed for VOUT=5V, VIN=2.5V-4.4V and ILOAD=10mA-1A operating at a frequency of 2MHz. Measurement results show that with PFFC enabled, the settling time reduces by ~2.6X and the undershoot reduces by 62% to 12μs and 41mV respectively when compared to CPCM for 10mA to 1A load step at 2A/μs. The PFFC approach improves the settling time by 12X to 26us and reduces the overshoot by 56% to 56mV when compared to CPCM for 1A to 10mA load step at 2A/μs. The converter achieves a peak efficiency of 95.2% at 0.5W output power with VIN=4.4V and load regulation of 9mV/A at VIN=2.5V. The line transient response at VOUT=5V, ILOAD=700mA for VIN=3V ↔ 4V which is repeated at 280μs time period is 235mV and 245mV for CPCM and PFFC respectively.
ContributorsAlevoor, Shashank (Author) / Bakkaloglu, Bertan (Thesis advisor) / Kitchen, Jennifer (Committee member) / Sanyal, Arindham (Committee member) / Beohar, Navankur (Committee member) / Arizona State University (Publisher)
Created2023
Description
On January 30, 2019, the China Securities Regulatory Commission issued the Implementation Opinions on the Establishment of the Science and Technology Innovation Board on the Shanghai Stock Exchange and the Pilot Registration-based System, announcing the establishment of a new Science and Technology Innovation Board(STAR). The STAR Market is an important measure in China's capital market reform, aiming to promote the transformation of China's economy from a stage of rapid growth to a stage of high-quality development. The companies listed on the Science and Technology Innovation Board are mainly scientific and technological innovation enterprises that are at the forefront of the world's science and technology, the main battlefield of the economy, and the major needs of the country, in line with the national strategy, breaking through key core technologies, and with high market recognition. Since its launch on July 22, 2019, to May, 15, 2023, there are 522 companies have been listed on the STAR Market, with a total market capitalization of more than RMB 7 trillion. The successful listing of these enterprises will provide strong support for the deep integration of China's high-tech industries and strategic emerging industries.This paper analyzes the influencing factors of IPO listing pricing on the STAR Market, and studies 1478 companies listed on the three listing platforms of the STAR Market, ChiNext and Hong Kong stocks. Through descriptive statistical analysis and multivariate regression model, the influencing factors of the 1st day and the 20th day were empirically studied. The results of the study will provide a pricing reference for
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listed companies in the future, and provide a reference for policymakers to meet the expectations of the new regulatory reforms.
Through analysis of multiple factors includes but not limited as the NR,IPE, LEAD, ISCA, T10, AOL, BC, STL, RDI, CAGR, DTOR, these influencing factors have an important impact on the IPO of the STAR Market.
ContributorsHuang, Danyang (Author) / Shen, Wei (Thesis advisor) / Cheng, Shijun (Thesis advisor) / Jiang, Zhan (Committee member) / Arizona State University (Publisher)
Created2024
Description
Over the past two decades, propelled by urbanization, domestic investment and construction of commercial complexes have rapidly accelerated. This has led to a dramatic expansion of these complexes with swift operational iterations and related data changes. The impact of changing domestic and international financial policies, along with political environments, has seen e-commerce gradually seize the middle and low-end retail markets. Additionally, the global spread of the COVID-19 pandemic in the last three years has resulted in a substantial slowdown in domestic economic growth. Despite this, there is still developmental potential, prompting unprecedented attention to corporate investment and commercial operations.However, acquiring basic operational data in commerce is challenging, with inconsistent measurement standards among enterprises, hindering accurate and systematic judgments of operational performance. The factors influencing the operational performance of commercial complexes in China remain inadequately researched.At this juncture, the scientific measurement of commercial complex operational performance is crucial for their healthy development. This study explores the relationship between enterprise investment behavior, operational management behavior, and commercial complex operational performance. It measures influencing factors using resource configuration theory to control uncontrollable environmental factors, such as urban hierarchy, surrounding population, per capita GDP, surrounding commercial inventory and increment, and location planning support. Dynamic capability theory is then applied to investigate the impact of variables like the number of leases, area, brands, lease cost income, marketing activity types, activity funds, and activity time on operational performance. A model is established to analyze operational performance, contrasting significant variables before and after the pandemic, identifying factors affecting operational performance in early-stage investment and later-stage management strategies. Post-pandemic adjustments are suggested to adapt to changing environmental conditions.In the empirical research section, this paper validates the theoretical model through data analysis, studying the volatility of operational performance based on factors influencing commercial complexes. Integrating theoretical backgrounds, it analyzes investment and management strategies for enterprises in different situations, emphasizing key indicators. This provides enterprises with better choices for future projects and empowers commercial complex managers for effective future management, enhancing operational performance. The study offers a theoretical basis and guidance for promoting the healthy development of the market.
ContributorsHuang, Ke (Author) / Shen, Wei (Thesis advisor) / Zhu, Qigui (Thesis advisor) / Hu, Yu (Committee member) / Arizona State University (Publisher)
Created2024
Description
With the continuous development of the Chinese capital market over the past thirty years, the securities analyst industry has experienced a process of transformation from a reckless period to a golden time. One of the most important signals is that securities analysts are increasingly conducting research report providing long-term earnings forecasts for the company. However, current research on analysts is limited to their short-term forecasting behavior, and there is little on analysts' long-term earnings forecasts. Therefore, this article takes the research on analysts' long-term forecast reports issued by analysts on A-share listed companies, and conducts an empirical study on the analysts' forecasts accuracy and its influencing factors. First, the author combed the research literature related to analyst forecasts and selected variables from three dimensions, including company characteristics (financial indicators and non-financial indicators), analyst characteristics and affiliated institution characteristics; secondly, considering the high-dimensionality of the influencing factors, this paper uses the method of combining machine learning and traditional regression to conduct empirical research; finally, the research tested the heterogeneity of influencing factors from two perspectives, including time and industry.The results of this article show that the long-term profit forecasts of analysts in China have advantages over traditional statistical models. More than 60% of analysts
provide profit forecasts that are better than statistical models. Afterwards, when examining the factors that affected the accuracy of analysts’ forecasts, it found that although analyst and institutional characteristics affected analysts’ predictions to a certain extent, company characteristics are the most important variables among them all. As the time goes by, the influence of non-financial factors on forecast accuracy gradually decreasing, but analyst characteristics continue to strengthen. In addition, cyclical industries are more difficult to predict than companies in non-cyclical industries, and the difficulty of prediction will not be reduced with the analyst efforts. This research can help analysts optimizing their forecasting behavior and prompts investors to understand analysts' reports more deeply, which makes them using analyst forecast data to make investment decisions in a rationally ways, and it can also help to promote the securities pricing efficiency and development of Chinese capital market.
ContributorsRao, Gang (Author) / Shen, Wei (Thesis advisor) / Yan, Hong (Thesis advisor) / Hu, Jie (Committee member) / Arizona State University (Publisher)
Created2024
Description
Recent advancements in communication standards, such as 5G demand transmitter hardware to support high data rates with high energy efficiency. With the revolution of communication standards, modulation schemes have become more complex and require high peak-to-average (PAPR) signals. In wireless transceiver hardware, the power amplifier (PA) consumes most of the transceiver’s DC power and is typically the bottleneck for transmitter linearity. Therefore, the transmitter’s performance directly depends on the PA. To support high PAPR signals, the PA must operate efficiently at its saturated and backoff output power. Maintaining high efficiency at both peak and backoff output power is challenging. One effective technique for addressing this problem is load modulation. Some of the prominent load-modulated PA architectures are outphasing PAs, load-modulated balanced amplifiers (LMBA), envelope elimination and restoration (EER), envelope tracking (ET), Doherty power amplifiers (DPA), and polar transmitters. Amongst them, the DPA is the most popular for infrastructure applications due to its simpler architecture compared to other techniques and linearizability with digital pre-distortion (DPD). Another crucial characteristic of progressing communication standards is wide signal bandwidths. High-efficiency power amplifiers like class J/F/F-1 and load-modulated PAs like the DPA exhibit narrowband performance because the amplifiers require precise output impedance terminations. Therefore, it is equally essential to develop adaptable PA solutions to process radio frequency (RF) signals with wide bandwidths. To support modern and future cellular infrastructure, RF PAs need to be innovated to increase the backoff power efficiency by two times or more and support ten times or more wider bandwidths than current state-of-the-art PAs. This work presents five RF PA analyses and implementations to support future wireless communications transmitter hardware. Chapter 2 presents an optimized output-matching network analysis and design to achieve extended output power backoff of the DPA. Chapters 3 and 4 unveil two bandwidth enhancement techniques for the DPA while maintaining extended output power backoff. Chapter 5 exhibits a dual-band hybrid mode PA design targeted for wideband applications. Chapter 6 presents a built-in self-test circuit integrated into a PA for output impedance monitoring. This can alleviate the PA performance degradation due to the variation in the PA's output load over frequency, process, and aging. All RF PAs in this dissertation are implemented using Gallium Nitride (GaN)-based high electron mobility transistors (HEMT), and the realized designs validate the proposed PAs' theories/architectures.
ContributorsRoychowdhury, Debatrayee (Author) / Kitchen, Jennifer (Thesis advisor) / Bakkaloglu, Bertan (Committee member) / Ozev, Sule (Committee member) / Aberle, James (Committee member) / Arizona State University (Publisher)
Created2024
Description
Integrating analog circuits with the most advanced digitally-tuned processes increases the defect rates and the risk of in-field wear out. Coupled with the reduced accessibility arising from this level of integration, increasing defect rates necessitate systematic approaches to analog testing. Structural built-in self-test (BIST) for analog circuits can reduce test development complexity. Proposing a robust and low-cost structural BIST method for analog circuits. The proposed method relies on perturbing the analog circuit at an injection point and observing the result at an observation point as a digitally measurable time delay. Injection can be achieved via simple ON/OFF keying while the observation can be achieved by a self-referencing comparator. Multiple injection points can be selected at low cost (single transistor) while the observation circuit can be shared across many injection points and different circuit blocks.
ContributorsRaghavendra, Chinmaye (Author) / Ozev, Sule (Thesis advisor) / Bakkaloglu, Bertan (Committee member) / Kitchen, Jennifer (Committee member) / Arizona State University (Publisher)
Created2024
Description冷链物流主要是指食品在生产到消费者食用前始终处于适宜的温度环境，以保障食品品质、降低流通过程中的损耗。冷链物流相比于传统物流而言是一项更复杂的系统性工程，受到政策和市场需求的影响呈现迅猛发展态势。但是，冷链物流企业长期以来因规模小、固定资产少、服务范围窄、服务规范性弱而发展困难重重，核心问题是资金的问题。政府引导和鼓励打造冷链物流产业园，推动产业园投资和建设主体打造平台，实现对园区内冷链企业的聚集效应并通过金融服务解决企业发展的资金问题。通过产融结合助力冷链物流企业发展，成为目前冷链物流行业发展的主要方式和未来趋势。
本研究聚焦冷链物流产业园金融服务助力冷链物流企业发展问题，主要研究内容包括：第一，基于产融结合理论，梳理冷链物流企业与产业园之间关系，从供需两侧探索冷链物流企业和产业园的金融服务的范围、类型和特点。第二，基于平台理论，构建冷链物流企业采纳产业园金融服务的研究模型，探索金融服务影响冷链物流企业的经营因素，分析冷链物流企业采纳产业园金融服务的因素和途径。第三，基于信息不对称理论，关切信息技术支持和知识分享在冷链物流企业采纳产业园提供金融服务过程中的调节作用。同时，梳理产业园提供金融服务可能面临哪些风险，制订冷链物流企业入驻园区的标准，防范风险。
本文运用实证研究方法，通过对国内18家冷链物流相关的产业园、物流园、冷链物流、商贸流通、金融等企业实地考察和专家访谈基础上，拟定问卷并对268家企业进行调查收集数据，使用结构方程模型进行假设检验。研究发现：金融服务的有形性、可靠性、移情性、经济性对冷链物流企业采纳产业园金融服务影响显著，而响应性的影响不显著。同时
信息技术支持和知识共享的调节作用不显著。最后，针对产业园吸引冷链物流企业提供金融服务、冷链物流企业采纳产业园金融服务的风险，提出防范策略措施。
本研究聚焦冷链物流产业园金融服务助力冷链物流企业发展问题，主要研究内容包括：第一，基于产融结合理论，梳理冷链物流企业与产业园之间关系，从供需两侧探索冷链物流企业和产业园的金融服务的范围、类型和特点。第二，基于平台理论，构建冷链物流企业采纳产业园金融服务的研究模型，探索金融服务影响冷链物流企业的经营因素，分析冷链物流企业采纳产业园金融服务的因素和途径。第三，基于信息不对称理论，关切信息技术支持和知识分享在冷链物流企业采纳产业园提供金融服务过程中的调节作用。同时，梳理产业园提供金融服务可能面临哪些风险，制订冷链物流企业入驻园区的标准，防范风险。
本文运用实证研究方法，通过对国内18家冷链物流相关的产业园、物流园、冷链物流、商贸流通、金融等企业实地考察和专家访谈基础上，拟定问卷并对268家企业进行调查收集数据，使用结构方程模型进行假设检验。研究发现：金融服务的有形性、可靠性、移情性、经济性对冷链物流企业采纳产业园金融服务影响显著，而响应性的影响不显著。同时
信息技术支持和知识共享的调节作用不显著。最后，针对产业园吸引冷链物流企业提供金融服务、冷链物流企业采纳产业园金融服务的风险，提出防范策略措施。
ContributorsYang, Su (Author) / Shen, Wei (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2019
Description
This work covers the design and implementation of a Parallel Doherty RF Power Amplifier in a GaN HEMT process for medium power macro-cell (16W) base station applications. This work improves the key parameters of a Doherty Power Amplifier including the peak and back-off efficiency, operational instantaneous bandwidth and output power by proposing a Parallel Doherty amplifier architecture.
As there is a progression in the wireless communication systems from the first generation to the future 5G systems, there is ever increasing demand for higher data rates which means signals with higher peak-to-average power ratios (PAPR). The present modulation schemes require PAPRs close to 8-10dB. So, there is an urgent need to develop energy efficient power amplifiers that can transmit these high data rate signals.
The Doherty Power Amplifier (DPA) is the most common PA architecture in the cellular infrastructure, as it achieves reasonably high back-off power levels with good efficiency. This work advances the DPA architecture by proposing a Parallel Doherty Power Amplifier to broaden the PAs instantaneous bandwidth, designed with frequency range of operation for 2.45 – 2.70 GHz to support WiMAX applications and future broadband signals.
As there is a progression in the wireless communication systems from the first generation to the future 5G systems, there is ever increasing demand for higher data rates which means signals with higher peak-to-average power ratios (PAPR). The present modulation schemes require PAPRs close to 8-10dB. So, there is an urgent need to develop energy efficient power amplifiers that can transmit these high data rate signals.
The Doherty Power Amplifier (DPA) is the most common PA architecture in the cellular infrastructure, as it achieves reasonably high back-off power levels with good efficiency. This work advances the DPA architecture by proposing a Parallel Doherty Power Amplifier to broaden the PAs instantaneous bandwidth, designed with frequency range of operation for 2.45 – 2.70 GHz to support WiMAX applications and future broadband signals.
ContributorsBHARDWAJ, SUMIT (Author) / Kitchen, Jennifer (Thesis advisor) / Bakkaloglu, Bertan (Committee member) / Ozev, Sule (Committee member) / Arizona State University (Publisher)
Created2018