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Institution

Hong Kong Polytechnic University

EducationHong Kong, China
About: Hong Kong Polytechnic University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Computer science & Tourism. The organization has 29633 authors who have published 72136 publications receiving 1956312 citations. The organization is also known as: HKPU & PolyU.


Papers
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Journal ArticleDOI
TL;DR: In this paper, several criteria under the categories of uncoupled damage and coupled damage were investigated to determine their reliability in ductile failure prediction in metal plastic deformation, including the continuum damage mechanics (CDM)-based Lemaitre model and the Gurson-Tvergaard-Needleman (GTN) model, and the two categories of criteria were coded into finite element models based on the unconditional stress integration algorithm in the VUMAT/ABAQUS platform.

432 citations

Journal ArticleDOI
TL;DR: In this article, the Manakov-polarization mode dispersion (PMD) equation is used to model both non-return-to-zero (NRZ) and soliton signal propagation in optical fibers with randomly varying birefringence.
Abstract: We report on our investigations of the Manakov-polarization mode dispersion (PMD) equation which can be used to model both nonreturn-to-zero (NRZ) and soliton signal propagation in optical fibers with randomly varying birefringence We review the derivation of the Manakov-PMD equation from the coupled nonlinear Schrodinger equation, and we discuss the physical meaning of its terms We discuss our numerical approach for solving this equation, and we apply this approach to both NRZ and soliton propagation, We show by comparison with the coupled nonlinear Schrodinger equation, integrated with steps that are short enough to follow the detailed polarization evolution, that our approach is orders of magnitude faster with no loss of accuracy Finally, we compare our approach to the widely used coarse-step method and demonstrate that the coarse-step method is both efficient and valid

432 citations

Journal ArticleDOI
TL;DR: How theory development and testing began in the mid-20th century and dominated the academic literature until the turn of the century is explained and 21st century interest in the psychology of staying (rather than leaving) and attitudinal trajectories in predicting turnover is tracked.
Abstract: We review seminal publications on employee turnover during the 100-year existence of the Journal of Applied Psychology. Along with classic articles from this journal, we expand our review to include other publications that yielded key theoretical and methodological contributions to the turnover literature. We first describe how the earliest papers examined practical methods for turnover reduction or control and then explain how theory development and testing began in the mid-20th century and dominated the academic literature until the turn of the century. We then track 21st century interest in the psychology of staying (rather than leaving) and attitudinal trajectories in predicting turnover. Finally, we discuss the rising scholarship on collective turnover given the centrality of human capital flight to practitioners and to the field of human resource management strategy. (PsycINFO Database Record

431 citations

Journal ArticleDOI
TL;DR: This paper found that Chinese investors tend to sell stocks that have appreciated in price, but not those that have depreciated in price consistent with a disposition effect, acknowledging gains but not losses.
Abstract: Using brokerage account data from China, we study investment decision making in an emerging market. We find that Chinese investors make poor trading decisions: the stocks they purchase underperform those they sell. We also find that Chinese investors suffer from three behavioral biases: (i) they tend to sell stocks that have appreciated in price, but not those that have depreciated in price, consistent with a disposition effect, acknowledging gains but not losses; (ii) they seem overconfident; and (iii) they appear to believe that past returns are indicative of future returns (a representativeness bias). In comparisons to prior findings, Chinese investors seem more overconfident than U.S. investors (i.e., the Chinese hold fewer stocks, yet trade very often) and their disposition effect appears stronger. Finally, we categorize Chinese investors based on proxy measures of experience and find that "experienced" investors are not always less prone to behavioral biases than are "inexperienced" ones.

430 citations

Journal ArticleDOI
TL;DR: In this paper, the authors focus on buying firms' trust in a supplier's salesperson and posits that this type of trust is determined by characteristics of the salesperson, the interpersonal relationships between a sales person and the buying firm's boundary personnel, and characteristics of personal interactions between these two parties.
Abstract: This research focuses on buying firms' trust in a supplier's salesperson and posits that this type of trust is determined by characteristics of the salesperson, the interpersonal relationships between a salesperson and the buying firm's boundary personnel, and characteristics of personal interactions between these two parties. More important, the authors discuss the concept of interpersonal relationships in the context of Chinese culture and model it as a three-dimensional latent construct, which, in some literature, is called guanxi. A key aspect of this research is that the authors investigate the impact of each dimension of guanxi on salesperson trust separately. Moreover, the authors consider the buying firm's trust in the supplying firm and its long-term orientation toward the supplier the consequences of salesperson trust. To test the model, the authors use data collected from 128 buying organizations in Hong Kong. The sampled firms are from both the government and private sectors.

429 citations


Authors

Showing all 30115 results

NameH-indexPapersCitations
Jing Wang1844046202769
Xiang Zhang1541733117576
Wei Zheng1511929120209
Rui Zhang1512625107917
Jian Yang1421818111166
Joseph Lau140104899305
Yu Huang136149289209
Dacheng Tao133136268263
Chuan He13058466438
Lei Zhang130231286950
Ming-Hsuan Yang12763575091
Chao Zhang127311984711
Yuri S. Kivshar126184579415
Bin Wang126222674364
Chi-Ming Che121130562800
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023229
2022971
20216,745
20206,207
20195,288