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Article
Publication date: 11 October 2022

Shuai Chen, Weiwen Wang, Juan Zhou, Shuyue Zhang, Anqi Ge, Juan Feng and Yun Zhou

This paper aims to propose a novel candidate view of research on employer reputation. The authors examine how candidates evaluate a company’s employer reputation after failing in…

Abstract

Purpose

This paper aims to propose a novel candidate view of research on employer reputation. The authors examine how candidates evaluate a company’s employer reputation after failing in the job application process.

Design/methodology/approach

The data were mainly collected from Chinese university students. Regression analysis was used to evaluate the proposed hypotheses (n = 246).

Findings

The study reveals how candidates vary in their attributions of job-hunting failures and evaluations of employer reputation considering their different personalities (i.e. extraversion) and corporations’ procedural justice in the selection process. The empirical results show that rejected candidates’ trait extraversion and procedural justice in the selection process combine to influence internal attributions and thus affect their evaluations of employer reputation.

Originality/value

Understanding how rejected candidates evaluate employer reputation is vital to advancing employer reputation theory. This is one of the few studies to pursue this line of research. The research may also help companies develop more effective strategies to manage the candidates they reject and to maintain their employer reputations.

Details

Journal of Product & Brand Management, vol. 32 no. 2
Type: Research Article
ISSN: 1061-0421

Keywords

Article
Publication date: 3 June 2019

Shengli Deng, Anqi Zhao, Ruhua Huang and Haiping Zhao

This study aims to examine why users search for images, how users describe their image needs and what the images are used for by analysing questions obtained from two Chinese…

Abstract

Purpose

This study aims to examine why users search for images, how users describe their image needs and what the images are used for by analysing questions obtained from two Chinese social Q&A sites, Zhihu and Baidu Zhidao.

Design/methodology/approach

A total of 1,402 image questions were collected from Zhihu and Baidu Zhidao. Both quantitative analysis and qualitative content analysis were performed to identify user image needs and the potential differences on the two social Q&A sites.

Findings

Question-asker’s intention varies in different platforms. Zhihu users asked questions mainly aiming at a promotion of subsequent discussion, whereas users of Baidu Zhidao often did so to seek information. Syntactic attributes were not frequently used in both two sites. Zhihu users were more likely to express subjective evaluations on images (concept, emotion, theme and style) in their questions than users of Baidu Zhidao. In contrast, questions from Baidu Zhidao showed a tendency to more frequently include descriptive metadata (rights, format, size, quality and authenticity) and semantic attributes (generic activity, specific people, fashion and text) of the images than questions from Zhihu. Learning was an important use on social Q&A sites, especially on Baidu Zhidao. In addition, the images were primarily used to trigger emotion or served a persuasive purpose in Zhihu.

Practical implications

This study contributes to a better understanding of user image search behaviour, and the findings could be used to develop better image services on social Q&A sites. Meanwhile, the image attributes extracted from the questions are conducive to the improvement of image retrieval systems.

Originality/value

This study explored the features of image needs on social Q&A sites, especially considering image use specified in the question. The difference of image needs between two Chinese social Q&A sites (Zhihu and Baidu Zhidao) was identified.

Details

The Electronic Library , vol. 37 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 24 May 2022

Pujith Rajaguru Senapathy Vijayaratnam, John Arthur Reizes and Tracie Jacqueline Barber

Stent malapposition is one of the most significant precursors of stent thrombosis and restenosis. Adverse haemodynamics may play a key role in establishing these diseases…

Abstract

Purpose

Stent malapposition is one of the most significant precursors of stent thrombosis and restenosis. Adverse haemodynamics may play a key role in establishing these diseases, although numerical studies have used idealised drug transport models to show that drug transport from malapposed drug-eluting stent struts can be significant. This paper aims to study whether drug transport from malapposed struts is truly significant. Another aim is to see whether a streamlined strut profile geometry – with a 61% smaller coating but a 32% greater coating-tissue contact area – can mitigate the adverse haemodynamics associated with stent malapposition while enhancing drug uptake.

Design/methodology/approach

Two- and three-dimensional computational fluid dynamics simulations were used in this study. Unlike past simulations of malapposed drug-eluting stent struts, a qualitatively validated drug-transport model which simulates the non-uniform depletion of drug within the drug coating was implemented.

Findings

It was shown that even a 10-µm gap between the strut and tissue dramatically reduces drug uptake after 24 h of simulated drug transport. Furthermore, the streamlined strut profile was shown to minimise the adverse haemodynamics of malapposed and well-apposed stent struts alike and enhance drug uptake.

Originality/value

Unlike prior numerical studies of malapposed stent struts, which did not model the depletion of drug in the drug coating, it was found that stent malapposition yields negligible drug uptake. The proposed semicircular-profiled strut was also shown to be advantageous from a haemodynamic and drug transport perspective.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 32 no. 12
Type: Research Article
ISSN: 0961-5539

Keywords

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