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The Influence of High Involvement Work System on Organizational Commitment of New Generation Employees: The Roles of The Sense of Work Gain and Family Support 高投入工作制度对新一代员工组织承诺的影响:工作获得感和家庭支持的作用
Yury Yu, Zhou Li
In the era of digital economy, human capital is an important factor in building the core competitiveness of enterprises. However, the problem of frequent turnover, high turnover rate and low employee loyalty has been widely concerned. How to effectively attract, manage and ensure the maximum value of the new generation of employees in the enterprise is an urgent problem to be solved in today's enterprise human resources management. Based on the theory of social exchange and resource conservation, this paper takes 457 new generation employees as the research object to explore the influence of high involvement work system on employees’ organizational commitment, and to analyze the mediating effect of the sense of work gain and the moderating effect of family support. The results show that high involvement system has a significant positive impact on employee's affective commitment, continuance commitment and normative commitment, but has the least impact on employee's continuance commitment. Employee's sense of work gain fully mediates the relationship between the high involvement system and their organizational commitment; family support positively moderates the relationship between high involvement work system and sense of work gain, and further moderates the mediating effect of sense of work gain. That is, the higher the level of family support, the stronger the positive impact of high involvement work system on sense of work gain, and the stronger the mediating effect of sense of work gain in high involvement work system and employee's emotional commitment, continuous commitment and normative commitment.
在数字经济时代,人力资本是构建企业核心竞争力的重要因素。然而,频繁离职、高离职率和员工忠诚度低的问题一直受到广泛关注。如何有效地吸引、管理并保证企业新一代员工的价值最大化,是当今企业人力资源管理中亟待解决的问题。本文基于社会交换和资源节约理论,以457名新生代员工为研究对象,探讨高投入工作制度对员工组织承诺的影响,并分析工作获得感的中介作用和家庭支持的调节作用。结果表明,高投入系统对员工的情感承诺、持续承诺和规范性承诺均有显著的正向影响,对员工的持续承诺影响最小。员工的工作获得感在高投入系统与组织承诺的关系中起着充分的中介作用;家庭支持正向调节高投入工作系统与工作获得感的关系,并进一步调节工作获得感的中介作用。即家庭支持水平越高,高投入工作体系对工作获得感的正向影响越强,高投入工作体系中工作获得感对员工情绪承诺、持续承诺和规范性承诺的中介作用越强。
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引用次数: 0
Research of the Nonlinear Effect of Public Health Investment on High-quality Development from year of 2007 to 2017 2007 - 2017年公共卫生投入对高质量发展的非线性效应研究
W. Zou, Rui-Feng Peng, Tianyin Liu
Objective: To explore the impact of public health investment on the high-quality regional development. Methods: The high-quality regional development in 30 provinces and cities except Tibet from 2007 to 2017 were evaluated, and the nonlinear relationship between public health investment and high-quality regional development based on the threshold regression model were analyzed. Results: The quality development of the national was stable except the lower of the green development level. Public health investment could promote high-quality regional development by influencing healthy human capital. And the higher the quality of development, the greater the role of public health investment in promoting the regional development. Conclusion: When the low quality of development, public health investment could not promote the quality of development, and even the certain effect of hindering; whereas the medium quality of development, public health investment had the positive effect. In addition, the high quality of development, public health investment enhanced the high-quality development.
目的:探讨公共卫生投入对区域高质量发展的影响。方法:对2007 - 2017年西藏以外30个省市区域高质量发展状况进行评价,基于阈值回归模型分析公共卫生投入与区域高质量发展之间的非线性关系。结果:除绿色发展水平较低外,全国质量发展水平基本稳定。公共卫生投资可以通过影响健康的人力资本来促进高质量的区域发展。发展质量越高,公共卫生投资对区域发展的促进作用越大。结论:在发展质量较低的情况下,公共卫生投入不能促进发展质量,甚至有一定的阻碍作用;而中等质量的发展,对公共卫生投资有积极的影响。此外,高质量发展,公共卫生投资促进了高质量发展。
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引用次数: 0
Research on target location prediction based on improved PSO-RBF Neural Network 基于改进PSO-RBF神经网络的目标位置预测研究
Zhan Wang, Shuang Xia, Hua Yu, Yangchun Wang
In order to make the antenna point to the target position in real time and obtain the current target parameters, an improved PSO-RBF neural network for antenna target position prediction was proposed. Based on the RBF neural network model, the improved PSO-RBF algorithm was used to optimize the network parameters, and the prediction model was established on the basis of the measured data. Simulation results show that the prediction effect of this model is better than traditional RBF neural network and conventional PSO-RBF neural network, and it has better practical value.
为了使天线实时指向目标位置并获取当前目标参数,提出了一种改进的PSO-RBF神经网络用于天线目标位置预测。在RBF神经网络模型的基础上,采用改进的PSO-RBF算法对网络参数进行优化,并基于实测数据建立预测模型。仿真结果表明,该模型的预测效果优于传统的RBF神经网络和传统的PSO-RBF神经网络,具有较好的实用价值。
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引用次数: 0
Economic policy uncertainty, strategic radicality and corporate earnings management 经济政策不确定性、战略激进性与企业盈余管理
J. Fu, Yan Yuan
Using the data of all A-share listed companies in Shanghai and Shenzhen stock exchanges from 2011 to 2020 as research samples, this paper analyzes the relationship between economic policy uncertainty, strategic aggressiveness and corporate earnings management from the micro perspective of enterprises. The results of this study show that: economic policy uncertainty will reduce the radicalism of corporate strategy, the reduction of corporate strategy radicality will reduce the earnings management of enterprises, and economic policy uncertainty will reduce the earnings management of enterprises by affecting the radicalism of corporate strategy; Further research finds that compared with state-owned enterprises, non-state-owned enterprises have a more significant effect on reducing corporate earnings management by reducing the aggressiveness of corporate strategy in the face of economic policy uncertainty.
本文以2011 - 2020年沪深两市所有a股上市公司数据为研究样本,从企业微观角度分析经济政策不确定性、战略侵略性与企业盈余管理之间的关系。研究结果表明:经济政策的不确定性会降低企业战略的激进性,企业战略激进性的降低会减少企业的盈余管理,经济政策的不确定性会通过影响企业战略的激进性来减少企业的盈余管理;进一步研究发现,与国有企业相比,非国有企业在面对经济政策不确定性时,通过降低企业战略的侵略性,对减少企业盈余管理的作用更为显著。
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引用次数: 1
Evaluation and Coupling Coordination Analysis of Digital Economy Development Level in Guangdong Province: An Empirical Study from 2013-2020 广东省数字经济发展水平评价与耦合协调分析——2013-2020年的实证研究
Yijun Zhang, Yuan Dan
This paper constructed a digital economy evaluation index system with 32 indicators from four dimensions, including digital foundation, digital industrialization, industrial digitalization and digital environment, and evaluated the development level of digital economy in Guangdong Province from 2013 to 2020 by using entropy weight method. The results show that the digital economy of Guangdong province and its internal four dimensions have developed rapidly from 2013 to 2020, and the development level of digital economy in Guangdong Province is relatively high at present. The coupling coordination analysis shows that there are strong interactions among the four dimensions of digital economy from 2013 to 2020, and each dimension is in a highly orderly development state in 2020. From 2013 to 2015, the coordination of all dimensions is poor, and all belong to digital environment lag disorder. The coordination of all dimensions improved year by year from 2016 to 2020, and reached the state of quality coordination in 2019 and 2020.
本文从数字基础、数字工业化、工业数字化、数字环境四个维度构建了包含32个指标的数字经济评价指标体系,运用熵权法对2013 - 2020年广东省数字经济发展水平进行了评价。结果表明,2013 - 2020年,广东省数字经济及其内部四个维度发展迅速,目前广东省数字经济发展水平较高。耦合协调分析表明,2013 - 2020年数字经济四个维度之间存在较强的相互作用,2020年各维度处于高度有序的发展状态。2013 - 2015年各维度协调性较差,均属于数字环境滞后性障碍。2016 - 2020年各维度协调性逐年提高,2019年、2020年达到质量协调状态。
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引用次数: 0
Adaptation Strategies to Increase Business Competitiveness in the Digital Era: an Empirical Study of Local Freight Firms in Thailand 数字时代提升企业竞争力的适应策略:泰国当地货运企业的实证研究
Teeraphorn Polhong, Suteera Chanthes, Nitiphong Songsrirote
Digitization plays a significant role in shaping modern business operations. The notion of digitalization is also included in Thailand’s recent national economic development policy, known as Thailand 4.0. Under the policy, rooted in the industry 4.0 concept, the country promotes economic growth with innovation and creativity and tries to move towards the digital economy. This paper presents an empirical study examining the business adaptation of local family firms facing opportunities and business challenges caused by the Thailand 4.0 policy and the digitalization motivation. It delivers empirical evidence on entrepreneurship development in local Thai cross-border freight family businesses trying to change to innovative firms. The researchers employed a qualitative research approach to investigate five purposively selected firms from Nakhon Phanom province of the North-East region of Thailand. The research data was collected using documentary analysis and semi-structured interviews with the owner-managers of the selected firms. Study results are delivered under two themes: developing innovative family entrepreneurship and digitalization in local cross-border freight firms. The results show that digitalization is adopted to improve three primary areas for strategic improvement in the transportation industry, including inventory, transport, and location strategies. Family power and control are founded to positively support the family business transformation towards industry 4.0 via business digitalization. Trained employees to gain sufficient knowledge related to digital transformation is also essential. The paper also identifies areas requiring further improvements, including systematic support from public authorities and reliable technology to help widen and sustain domestic and international business partnership networks.
数字化在塑造现代商业运作方面发挥着重要作用。数字化的概念也包含在泰国最近的国家经济发展政策中,被称为泰国4.0。根据该政策,植根于工业4.0概念,该国以创新和创造力促进经济增长,并试图向数字经济迈进。本文对泰国4.0政策和数字化动机所带来的机遇和挑战,对泰国本土家族企业的商业适应性进行了实证研究。它提供了泰国当地跨境货运家族企业创业发展的实证证据,这些企业试图转变为创新型企业。研究人员采用定性研究方法调查了泰国东北地区那空Phanom省有目的地选择的五家公司。研究数据是通过文献分析和与选定公司的所有者-经理的半结构化访谈收集的。研究结果分为两个主题:发展创新型家族创业和当地跨境货运公司的数字化。结果表明,数字化被用于改善运输行业战略改进的三个主要领域,包括库存、运输和位置策略。家族权力和控制的建立是为了积极支持家族企业通过业务数字化向工业4.0转型。经过培训的员工获得与数字化转型相关的足够知识也是必不可少的。该文件还指出了需要进一步改进的领域,包括公共当局的系统支持和可靠的技术,以帮助扩大和维持国内和国际商业伙伴关系网络。
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引用次数: 0
Design of cloud platform for niche monitoring of forest pests based on Internet of Things 基于物联网的森林害虫生态位监测云平台设计
Ming Fan, Ying Lu, Q. Xu, Peidong Yang
In view of the frequent occurrence of dangerous forest diseases and insect pests in China, which have caused varying degrees of damage to forest resources and ecological environment, this study designed a niche monitoring system for forest diseases and insect pests based on STM32 and the Internet of Things. The design uses STM32 as the data acquisition terminal and repeater, and transmits data to the cloud via the Internet through the W5500 module, realizing remote monitoring of the host computer's webpage. Through this monitoring system, users can understand the environmental information and historical conditions that have a greater impact on forest diseases and insect pests in the deployment area of the system at any time, including carbon dioxide concentration, oxygen concentration, soil pH, temperature and humidity, light intensity, etc., collected by the system The terminal can adapt to about 20 kinds of sensors, and can easily and comprehensively monitor and manage different forest niches. This study provides a basis for forest pest monitoring, which can efficiently and timely provide forest ecological environment information and reduce the consumption of human and material resources. It is of great significance to the scientific management of forest workers.
针对中国森林危险病虫害频发,对森林资源和生态环境造成不同程度破坏的情况,本研究设计了基于STM32和物联网的森林病虫害生态位监测系统。本设计采用STM32作为数据采集终端和中继器,通过W5500模块将数据通过Internet传输到云端,实现对上位机网页的远程监控。通过本监测系统,用户可以随时了解系统部署区域内对森林病虫害影响较大的环境信息和历史条件,包括系统采集的二氧化碳浓度、氧气浓度、土壤pH值、温湿度、光照强度等,终端可适应约20种传感器,可以方便、全面地监测和管理不同的森林生态位。本研究为森林有害生物监测提供了依据,可以有效、及时地提供森林生态环境信息,减少人力物力的消耗。对林业职工的科学管理具有重要意义。
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引用次数: 0
Construction and implementation of trading framework for laboratory data based on DOSA 基于DOSA的实验室数据交易框架的构建与实现
X. Zheng, Fang-fang Miao, N. Chakpitak, Jianghong Yuan, Ze Duan, H. Xia, Chu Yi Huang, J. Gui
Laboratories produce large amounts of data for scientific experiments and management. However, traditional paper recording methods were lost easily and managed difficultly. Paper files took up a lot of space. Even worse, the contents of the document could be easily manipulated. In recent years, with a growing number of experimental projects cooperation between universities and enterprises, many problems have emerged, such as the ownership of experimental data is not clear, and, the data transmitted online is easily leaked. Considering these problems, this study proposes to use data architecture to manage laboratories relevant data. This means that valuable data needs to be protected, packaged and traded as products. DOSA is a data-centric architecture. The advantage of DOSA is that it binds data and ownership together, protects data with key technologies, and enables secure sharing. This research designs the whole transaction process of experimental data products based on DOSA. In this process, all experimental data is protected by encryption technology to ensure its security. This paper proposes a data architecture as a platform to package experimental data into data products for trading and prevent experimental data fraud from the source. Through the SM2 algorithm and the toolbox Gmssl, the problem of data leakage is solved in the process of data product transaction, and the safe circulation and transaction of laboratory data is realized. After using the Python language to encrypt the laboratory data with the tools provided by the data architecture, it can realize the safe and cross-domain sharing of data off the platform.
实验室为科学实验和管理提供了大量的数据。然而,传统的纸质记录方法容易丢失,管理困难。纸质文件占用了很多空间。更糟糕的是,文档的内容很容易被操纵。近年来,随着高校与企业合作的实验项目越来越多,出现了实验数据归属不清、网上传输的数据容易泄露等诸多问题。针对这些问题,本研究提出采用数据架构对实验室相关数据进行管理。这意味着有价值的数据需要作为产品进行保护、打包和交易。DOSA是一个以数据为中心的体系结构。DOSA的优点是将数据和所有权绑定在一起,使用关键技术保护数据,并实现安全共享。本研究设计了基于DOSA的实验数据产品的整个交易流程。在此过程中,所有实验数据都采用加密技术进行保护,以确保其安全性。本文提出了一种数据架构作为平台,将实验数据打包成数据产品进行交易,从源头上防止实验数据欺诈。通过SM2算法和工具箱Gmssl,解决了数据产品交易过程中的数据泄露问题,实现了实验室数据的安全流通和交易。使用Python语言对实验室数据进行加密后,借助数据架构提供的工具,可以实现平台外数据的安全跨域共享。
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引用次数: 2
The Effect of Leaders’ Tolerance on High Performers’ Turnover Intention: A Moderated Mediation Model 领导宽容对高绩效员工离职倾向的影响:一个有调节的中介模型
Biwei Zhang, Yiwen Chen, Shang Li
In order to explore the impact of leader's tolerance on employees’ turnover intention, and to study the mediator role of employees’ trust in leader as well as the role of employees’ task performance, a questionnaire survey was conducted on 584 ordinary professionals. The study results show that (1) there is a negative correlation between leader's tolerance and employees’ turnover intention; (2) trust in leader mediates the effect of leader's tolerance on employees’ turnover intention; (3) employees’ task performance moderates the effect of leader's tolerance on employees’ turnover intention. Negative relationship between leader's tolerance and employees’ turnover intention is strengthened when task performance is high rather than when it is low.
为了探讨领导者宽容度对员工离职意向的影响,研究员工对领导者信任的中介作用以及员工任务绩效的作用,对584名普通专业人员进行了问卷调查。研究结果表明:(1)领导者容忍度与员工离职意愿呈负相关;(2)领导者信任在领导者宽容对员工离职意向的中介作用;(3)员工的任务绩效调节了领导宽容对员工离职意向的影响。当任务绩效高时,领导容忍度与员工离职倾向之间的负向关系比任务绩效低时更强。
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引用次数: 0
Multi-Index Dynamic Optimization Method for Enterprise Evaluation Based on Correlation Constraints 基于关联约束的企业评价多指标动态优化方法
Aiping Tan, Lingling Tian, Shouzhi Sun, Yan Wang
Most of the current enterprise evaluation methods are based on a comprehensive index system. However, there are significant differences in the evaluation effectiveness of indicators and the difficulty of obtaining index data, which determines that a unified and comprehensive Index system cannot be adopted for different enterprises. Therefore, how to dynamically screen out the index with the least acquisition cost, meet the evaluation needs and not destroy the index relationship from the index system of related fields has become a significant problem. The current research results usually assume that the index is independent of each other and rarely consider the correlation constraints between different indexes. For this reason, this paper proposes a multi-index optimization problem based on correlation constraints (Multi-Index Optimization Based on Relevance Constraints, MIO-RC). MIO-RC is based on the evaluation value of each index, and the cost of index acquisition then selects the index set with the minimum cost that satisfies the expected contribution value. MIO-RC problem defines the correlation constraints between various evaluation indicators and defines a dynamic contribution value function based on enterprise characteristics and correlation indicators. In this paper, the MIO-RC problem is an NP-hard problem, and an IR-GA algorithm based on a genetic algorithm is designed to solve the MIO-RC problem under different constraints. Finally, this paper conducts a verification analysis based on many enterprise data sets. The experimental results show that: in terms of performance, compared with the simulated annealing algorithm and the particle swarm evolution algorithm, the IR-GA algorithm converges faster.
目前的企业评价方法大多基于综合指标体系。但各指标的评价有效性和指标数据获取难度存在显著差异,这就决定了无法针对不同企业采用统一的综合指标体系。因此,如何从相关领域的指标体系中动态筛选出获取成本最低、满足评价需要且不破坏指标关系的指标,成为一个重要的问题。目前的研究成果通常假设指标之间是相互独立的,很少考虑不同指标之间的相关约束。为此,本文提出了一种基于关联约束的多指标优化问题(multi-index optimization based on Relevance constraints, MIO-RC)。MIO-RC基于每个指标的评价值,然后选取满足期望贡献值的成本最小的指标集。MIO-RC问题定义了各种评价指标之间的关联约束,并根据企业特征和相关指标定义了动态贡献值函数。本文将MIO-RC问题作为np困难问题,设计了一种基于遗传算法的IR-GA算法来求解不同约束条件下的MIO-RC问题。最后,本文基于多个企业数据集进行了验证分析。实验结果表明:在性能方面,与模拟退火算法和粒子群进化算法相比,IR-GA算法收敛速度更快。
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引用次数: 0
期刊
Proceedings of the 5th International Conference on Information Management and Management Science
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