디지털 기업에서 직무 자율성이 팀 성과에 미치는 영향 연구

Qianli Zhao,장경풍 인문사회 21 2022 인문사회 21 Vol.13 No.3

Research on the Influence of Job Autonomyon Team Performance in Digital EnterprisesQianli Zhao & Qingfeng Zhang Abstract: In order to enhance work motivation and personal interests for new generation of employees, it is important to support job autonomy and effectively improve team performance, so as to strengthen the competitive advantage of digital enterprises. This paper conducted a multi-stage and multi-regional questionnaire survey with 300 participants in digital enterprises. We have used SPSS 25.0 and AMOS 24.0 for linear regression analyses and intermediary effect test. Based on organization learning theory, the empirical results show that job autonomy has the significant positive effect on team performance in digital enterprises. The learning organization and flexible working schedule play mediating roles in this influence relationship. Future research should further explore the moderating variables to further enrich the theoretical model and research results. Key Words: Job Autonomy, Team Performance, Digital Enterprises, Learning Organization, Flexible Working Schedule Research on the Influence of Job Autonomy on Team Performance in Digital Enterprises Qianli Zhao & Qingfeng Zhang Abstract: In order to enhance work motivation and personal interests for new generation of employees, it is important to support job autonomy and effectively improve team performance, so as to strengthen the competitive advantage of digital enterprises. This paper conducted a multi-stage and multi-regional questionnaire survey with 300 participants in digital enterprises. We have used SPSS 25.0 and AMOS 24.0 for linear regression analyses and intermediary effect test. Based on organization learning theory, the empirical results show that job autonomy has the significant positive effect on team performance in digital enterprises. The learning organization and flexible working schedule play mediating roles in this influence relationship. Future research should further explore the moderating variables to further enrich the theoretical model and research results. Key Words: Job Autonomy, Team Performance, Digital Enterprises, Learning Organization, Flexible Working Schedule

A Preventive Maintenance Scheduling Problem with Random Interval Time

Qian Qian Zhao,Won Young Yun,Alfonsus Julanto Endharta 한국경영과학회 2018 한국경영과학회 학술대회논문집 Vol.2018 No.04

A Preventive Maintenance Scheduling Problem with Random Interval Time

Qian Qian Zhao,Won Young Yun,Alfonsus Julanto Endharta 대한산업공학회 2018 대한산업공학회 춘계학술대회논문집 Vol.2018 No.4

Determining Inspection Intervals for One-shot Systems with Support Equipments

Qian Qian Zhao,Won Young Yun 대한산업공학회 2015 대한산업공학회 추계학술대회논문집 Vol.2015 No.11

In this paper, we consider one-shot systems comprise one-shot devices and support equipments. The one-shot devices are stored for long periods of time, and its failure is detected only upon inspection. Support equipments are necessary for the operation of one-shot devices, and are maintained immediately upon failure. This paper deals with an inspection schedule problem for one-shot systems with support equipment and limited maintenance resources. Interval availability and life cycle costs are used as optimization criteria, and are estimated by simulation. Therefore, we aim to determine near-optimal inspection intervals of one-shot systems that minimize the expected life cycle cost and satisfy the target interval availability during inspection periods. An estimation of distribution algorithm (EDA) is proposed to find near-optimal solutions, and numerical examples are studied to investigate the effects of various model parameters.

Microstructure Change of Nanosilica-Cement Composites Partially Exposed to Sulfate Attack

Qian Huang,Liang Zhao,Chenggong Zhao,Dongsheng Liu,Chaoqiang Wang 한국콘크리트학회 2020 International Journal of Concrete Structures and M Vol.14 No.3

The deterioration of cement composites containing nanosilica partially exposed to sulfate attack was studied, and the microstructure change of the composites was analysed by a scanning electron microscope (SEM), energy dispersive spectroscopy (EDS) and X-ray diffraction (XRD). The results showed that nanosilica-cement composites had better sulfate resistance compared to plain cement composite under partial exposure to sulfate attack, and their sulfate resistance increased as the nanosilica content increased (in the range of 0 to 5 wt% replacing cement by weight). The main sulfate products were gypsum and ettringite within the surface and inner parts, respectively in both the immersed and evaporation portions of the nanosilica-cement composites, which was consistent with the plain cement composite. Thus, the incorporation of nanosilica did not change the distribution characteristics of the sulfate products within the composites partially exposed to sulfate attack. However, the addition of nanosilica reduced the amount of sulfate products in both the immersed and evaporation portions, and their amount decreased with the increase of nanosilica content. The evaporation portions of the composites suffered chemical sulfate attack rather than sulfate salt crystallization. Nanosilica-cement composites could be applied in real partial exposure environments containing sulfate ions.

Prediction method for steady-state response of local rubbing blade-rotor systems

Qian Zhao,Hongliang Yao,Qi Xu,Bang-chun Wen 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.4

Blade-rotor systems frequently encounter the problem of blade-to-case rubbing, which affects their safety and stability. Numericalsimulation can be used to predict the steady-state response of these systems. However, such simulation is frequently computationallyexpensive because of the high dimensions of the dynamic model of a blade-rotor system. To overcome this problem, a new method thatcombines the receptance-based dimension-reduction approach with the incremental harmonic balance (IHB) method is presented in thisstudy. First, a dynamic model of a blade-rotor system is developed using the finite element method, and the number of dimensions of themodel is reduced by the receptance method. Subsequently, the steady-state response is obtained by the improved IHB method to convenientlymanage the large number of super-harmonic components of the local rubbing system. Finally, the precision and efficiency of theproposed method is verified by comparing its results with those obtained by the Newmark-b method. The proposed method is found to beefficient in analyzing local rubbing blade-rotor systems with high dimensions, local nonlinearities, and rich super-harmonics.

A new strategy to fabricate composite thin films with tunable micro- and nanostructures <i>via</i> self-assembly of block copolymers

Zhao, Xingjuan,Wang, Qian,Lee, Yong-Ill,Hao, Jingcheng,Liu, Hong-Guo The Royal Society of Chemistry 2015 Chemical communications Vol.51 No.93

<P>A new and facile strategy to fabricate composite thin films with tunable morphologies <I>via</I> self-assembly of block copolymer molecules at the air/liquid interface is first reported. The morphologies (parallel nanowires and foams) of these freestanding thin films can be tuned by varying the molecular structure or other experimental conditions.</P> <P>Graphic Abstract</P><P>A new and facile strategy to fabricate composite thin films with tunable morphologies at the air/liquid interface is first reported, paving a new way for the generation of composite films in nanotechnology applications. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c5cc05548b'> </P>

Cyclophosphamide-induced HCN1 channel upregulation in interstitial Cajal-like cells leads to bladder hyperactivity in mice

Qian Liu,Zhou Long,Xingyou Dong,Teng Zhang,Jiang Zhao,Bishao Sun,Jingzhen Zhu,Jia Li,Qingqing Wang,Zhenxing Yang,Xiaoyan Hu,Longkun Li 생화학분자생물학회 2017 Experimental and molecular medicine Vol.49 No.-

Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels are confirmed to be expressed in bladder interstitial Cajal-like cells (ICC-LCs), but little is known about their possible role in cystitis-associated bladder dysfunction. The present study aimed to determine the functional role of HCN channels in regulating bladder function under inflammatory conditions. Sixty female wild-type C57BL/6J mice and sixty female HCN1-knockout mice were randomly assigned to experimental and control groups, respectively. Cyclophosphamide (CYP)-induced cystitis models were successfully established in these mice. CYP treatment significantly enhanced HCN channel protein expression and Ih density and significantly altered bladder HCN1 channel regulatory proteins. Carbachol (CCH) and forskolin (FSK) exerted significant effects on bladder ICC-LC [Ca2+]i in CYP-treated wild-type (WT) mice, and HCN1 channel ablation significantly decreased the effects of CCH and FSK on bladder ICC-LC [Ca2+]i in both naive and CYP-treated mice. CYP treatment significantly potentiated the spontaneous contractions and CCH (0.001–10 μM)-induced phasic contractions of detrusor strips, and HCN1 channel deletion significantly abated such effects. Finally, we demonstrated that the development of CYP-induced bladder overactivity was reversed in HCN1 / mice. Taken together, our results suggest that CYP-induced enhancements of HCN1 channel expression and function in bladder ICC-LCs are essential for cystitis-associated bladder hyperactivity development, indicating that the HCN1 channel may be a novel therapeutic target for managing bladder hyperactivity.

Effect of Resistant Starch on HCl/ethanol-induced Gastric Injury in Rats

Qian, Yu,Li, Guijie,Zhu, Kai,Sun, Peng,Feng, Xia,Zhao, Xin The Korean Society for Applied Biological Chemistr 2013 Applied Biological Chemistry (Appl Biol Chem) Vol.56 No.6

Three types of resistant starch (RS) products were purchased for the evaluation of gastric injury preventive effect in Sprague-Dawley rats. We used an animal model to check for gastric injury preventive activities of these RS products in vivo. RS3 reduced the levels of serum proinflammatory cytokines of IL-6 and TNF-${\alpha}$ as compared to those of RS2 and RS4. The gastric secretion volumes from high to low order were control rats, RS2-treated rats, RS4-treated rats, RS3-treated rats, and normal rats, whereas pH levels of gastric juice showed the opposite trend. The gastric injury level was significantly decreased by RS, demonstrating its anti-inflammatory properties, with RS3 showing the best anti-inflammatory effect. Gastric tissues of RS3 group rats showed significantly decreased mRNA and protein expression levels of inflammation-related genes of iNOS, COX-2, TNF-${\alpha}$, and IL-$1{\beta}$ compared with the control group, as shown by RT-PCR and Western blot analyses. These results suggest that RS shows a gastric injury preventive effect, with RS3 showing the best inhibitory effect on gastric injury.

Stochastic MAC-layer Interference Model for Opportunistic Spectrum Access: A Weighted Graphical Game Approach

Qian Zhao,Liang Shen,Cheng Ding 한국통신학회 2016 Journal of communications and networks Vol.18 No.3

This article investigates the problem of distributed channelselection in opportunistic spectrum access networks from aperspective of interference minimization. The traditional physical(PHY)-layer interference model is for information theoretic analysis. When practical multiple access mechanisms are considered,the recently developed binary medium access control (MAC)-layerinterference model in the previous work is more useful, in whichthe experienced interference of a user is defined as the numberof competing users. However, the binary model is not accurate inmathematics analysis with poor achievable performance. Therefore,we propose a real-valued one called stochastic MAC-layer interferencemodel, where the utility of a player is defined as a functionof the aggregate weight of the stochastic interference of competingneighbors. Then, the distributed channel selection problemin the stochastic MAC-layer interference model is formulated asa weighted stochastic MAC-layer interference minimization gameand we proved that the game is an exact potential game which existsone pure strategy Nash equilibrium point at least. By using theproposed stochastic learning-automata based uncoupled algorithmwith heterogeneous learning parameter (SLA-H), we can achievesuboptimal convergence averagely and this result can be verified inthe simulation. Moreover, the simulated results also prove that theproposed stochastic model can achieve higher throughput performanceand faster convergence behavior than the binary one.