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Article
Publication date: 16 April 2020

Bao Cheng, Gongxing Guo, Jian Tian and Ahmed Shaalan

Using equity theory, this study aims to examine the role of customer incivility in effecting service sabotage among hotel employees by recognizing the mediating role of…

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Abstract

Purpose

Using equity theory, this study aims to examine the role of customer incivility in effecting service sabotage among hotel employees by recognizing the mediating role of revenge motivation and the moderating effect of emotion regulation.

Design/methodology/approach

A multi-wave, multi-source questionnaire survey was conducted with 291 employee–supervisor dyads at chain hotels in Shenzhen, China. Previously developed and validated measures for customer incivility, revenge motivation, emotion regulation and service sabotage were adopted to test the hypotheses.

Findings

Customer incivility increased employees’ revenge motivation and service sabotage. Emotion regulation acted as a boundary condition for customer incivility’s direct effect on revenge motivation and its indirect effect on service sabotage through revenge motivation. Cognitive reappraisal mitigated the detrimental influence of customer incivility, whereas expressive suppression worsened its adverse effects.

Practical implications

Managers should monitor and deter the emergence of uncivil behaviors, provide psychological support for employees experiencing customer incivility and encourage these employees to use cognitive reappraisal rather than expressive suppression as an emotion regulation strategy.

Originality/value

To the authors’ knowledge, no prior research has investigated the customer incivility–service sabotage relationship in the hotel industry. This study sheds light on how customer incivility can motivate service sabotage among hotel employees. Furthermore, the authors used equity theory rather than the commonly adopted resources perspective to offer new insights into the customer incivility–service sabotage relationship.

Details

International Journal of Contemporary Hospitality Management, vol. 32 no. 5
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 10 August 2021

Zi-yan Yu and Tian-jian Luo

Clothing patterns play a dominant role in costume design and have become an important link in the perception of costume art. Conventional clothing patterns design relies…

Abstract

Purpose

Clothing patterns play a dominant role in costume design and have become an important link in the perception of costume art. Conventional clothing patterns design relies on experienced designers. Although the quality of clothing patterns is very high on conventional design, the input time and output amount ratio is relative low for conventional design. In order to break through the bottleneck of conventional clothing patterns design, this paper proposes a novel way based on generative adversarial network (GAN) model for automatic clothing patterns generation, which not only reduces the dependence of experienced designer, but also improve the input-output ratio.

Design/methodology/approach

In view of the fact that clothing patterns have high requirements for global artistic perception and local texture details, this paper improves the conventional GAN model from two aspects: a multi-scales discriminators strategy is introduced to deal with the local texture details; and the self-attention mechanism is introduced to improve the global artistic perception. Therefore, the improved GAN called multi-scales self-attention improved generative adversarial network (MS-SA-GAN) model, which is used for high resolution clothing patterns generation.

Findings

To verify the feasibility and effectiveness of the proposed MS-SA-GAN model, a crawler is designed to acquire standard clothing patterns dataset from Baidu pictures, and a comparative experiment is conducted on our designed clothing patterns dataset. In experiments, we have adjusted different parameters of the proposed MS-SA-GAN model, and compared the global artistic perception and local texture details of the generated clothing patterns.

Originality/value

Experimental results have shown that the clothing patterns generated by the proposed MS-SA-GAN model are superior to the conventional algorithms in some local texture detail indexes. In addition, a group of clothing design professionals is invited to evaluate the global artistic perception through a valence-arousal scale. The scale results have shown that the proposed MS-SA-GAN model achieves a better global art perception.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 14 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 7 April 2022

Tian-Jian Luo

Steady-state visual evoked potential (SSVEP) has been widely used in the application of electroencephalogram (EEG) based non-invasive brain computer interface (BCI) due to…

Abstract

Purpose

Steady-state visual evoked potential (SSVEP) has been widely used in the application of electroencephalogram (EEG) based non-invasive brain computer interface (BCI) due to its characteristics of high accuracy and information transfer rate (ITR). To recognize the SSVEP components in collected EEG trials, a lot of recognition algorithms based on template matching of training trials have been proposed and applied in recent years. In this paper, a comparative survey of SSVEP recognition algorithms based on template matching of training trails has been done.

Design/methodology/approach

To survey and compare the recently proposed recognition algorithms for SSVEP, this paper regarded the conventional canonical correlated analysis (CCA) as the baseline, and selected individual template CCA (ITCCA), multi-set CCA (MsetCCA), task related component analysis (TRCA), latent common source extraction (LCSE) and a sum of squared correlation (SSCOR) for comparison.

Findings

For the horizontal comparative of the six surveyed recognition algorithms, this paper adopted the “Tsinghua JFPM-SSVEP” data set and compared the average recognition performance on such data set. The comparative contents including: recognition accuracy, ITR, correlated coefficient and R-square values under different time duration of the SSVEP stimulus presentation. Based on the optimal time duration of stimulus presentation, the author has also compared the efficiency of the six compared algorithms. To measure the influence of different parameters, the number of training trials, the number of electrodes and the usage of filter bank preprocessing were compared in the ablation study.

Originality/value

Based on the comparative results, this paper analyzed the advantages and disadvantages of the six compared SSVEP recognition algorithms by considering application scenes, real-time and computational complexity. Finally, the author gives the algorithms selection range for the recognition of real-world online SSVEP-BCI.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 3 February 2021

Jian Tian, Jiangan Xie, Zhonghua He, Qianfeng Ma and Xiuxin Wang

Wrist-cuff oscillometric blood pressure monitors are very popular in the portable medical device market. However, its accuracy has always been controversial. In addition…

Abstract

Purpose

Wrist-cuff oscillometric blood pressure monitors are very popular in the portable medical device market. However, its accuracy has always been controversial. In addition to the oscillatory pressure pulse wave, the finger photoplethysmography (PPG) can provide information on blood pressure changes. A blood pressure measurement system integrating the information of pressure pulse wave and the finger PPG may improve measurement accuracy. Additionally, a neural network can synthesize the information of different types of signals and approximate the complex nonlinear relationship between inputs and outputs. The purpose of this study is to verify the hypothesis that a wrist-cuff device using a neural network for blood pressure estimation from both the oscillatory pressure pulse wave and PPG signal may improve the accuracy.

Design/methodology/approach

A PPG sensor was integrated into a wrist blood pressure monitor, so the finger PPG and the oscillatory pressure wave could be detected at the same time during the measurement. After the peak detection, curves were fitted to the data of pressure pulse amplitude and PPG pulse amplitude versus time. A genetic algorithm-back propagation neural network was constructed. Parameters of the curves were inputted into the neural network, the outputs of which were the measurement values of blood pressure. Blood pressure measurements of 145 subjects were obtained using a mercury sphygmomanometer, the developed device with the neural network algorithm and an Omron HEM-6111 blood pressure monitor for comparison.

Findings

For the systolic blood pressure (SBP), the difference between the proposed device and the mercury sphygmomanometer is 0.0062 ± 2.55 mmHg (mean ± SD) and the difference between the Omron device and the mercury sphygmomanometer is 1.13 ± 9.48 mmHg. The difference in diastolic blood pressure between the mercury sphygmomanometer and the proposed device was 0.28 ± 2.99 mmHg. The difference in diastolic blood pressure between the mercury sphygmomanometer and Omron HEM-6111 was −3.37 ± 7.53 mmHg.

Originality/value

Although the difference in the SBP error between the proposed device and Omron HEM-6111 was not remarkable, there was a significant difference between the proposed device and Omron HEM-6111 in the diastolic blood pressure error. The developed device showed an improved performance. This study was an attempt to enhance the accuracy of wrist-cuff oscillometric blood pressure monitors by using the finger PPG and the neural network. The hardware framework constructed in this study can improve the conventional wrist oscillometric sphygmomanometer and may be used for continuous measurement of blood pressure.

Details

Sensor Review, vol. 41 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 4 March 2019

Wei Huang

This paper aims to investigate the interconnections between corporate ownership, tax system and controlling shareholder tunneling through intercorporate loans in an…

Abstract

Purpose

This paper aims to investigate the interconnections between corporate ownership, tax system and controlling shareholder tunneling through intercorporate loans in an emerging market setting.

Design/methodology/approach

China’s Enterprises Income Tax reform in 2008 abolished its previous multiple-tiers tax system under which foreign direct investment (FDI) firms enjoyed preferential tax rates than domestic firms by introducing a new unified-rate tax system. Using difference-in-differences tests, the author analyzes changes of controlling shareholders tunneling through intercorporate loans among Chinese listed companies around this reform.

Findings

The author documents significant reductions of intercorporate loans after the reform. More importantly, the author reveals that foreign-invested firms experienced larger reductions of intercorporate loans than domestic firms. The author also shows that state association matters for domestic firms’ response to the reform. In addition, the author documents positive stock market reaction to the tax reform announcement for firms that exhibited higher level of tunneling prior to the reform, indicating market expectation of reduced principal-principal conflict post-reform.

Research limitations/implications

The findings suggest effective corporate governance system is warranted to constrain intercorporate fund transfers in emerging markets where tax incentives are used for attracting inward foreign direct investments. Institutional reforms in emerging markets aimed at removing market frictions can alleviate the problem of controlling shareholder expropriations of minority interests or tunneling.

Originality/value

This is a pioneering study that reveals the role of tax as a public governance mechanism in weak minority investor protection environment.

Details

International Journal of Accounting & Information Management, vol. 27 no. 1
Type: Research Article
ISSN: 1834-7649

Keywords

Content available
Book part
Publication date: 15 September 2017

Abstract

Details

Advances in Pacific Basin Business Economics and Finance
Type: Book
ISBN: 978-1-78743-409-7

Article
Publication date: 16 March 2015

Congcong Zhou, Chunlong Tu, Jian Tian, Jingjie Feng, Yun Gao and Xuesong Ye

The purpose of this paper is to design a low-power human physiological parameters monitoring system which can monitor six vital parameters simultaneously based on wearable…

Abstract

Purpose

The purpose of this paper is to design a low-power human physiological parameters monitoring system which can monitor six vital parameters simultaneously based on wearable body sensor network.

Design/methodology/approach

This paper presents a low-power multiple physiological parameters monitoring system (MPMS) which comprises four subsystems. These are: electrocardiogram (ECG)/respiration (RESP) parameters monitoring subsystem with embedded algorithms; blood oxygen (SpO2)/pulse rate (PR)/body temperature (BT)/blood pressure (BP) parameters monitoring subsystem with embedded algorithms; main control subsystem which is in charge of system-level power management, communication and interaction design; and upper computer software subsystem which manipulates system function and analyzes data.

Findings

Results have successfully demonstrated monitoring human ECG, RESP, PR, SpO2, BP and BT simultaneously using the MPMS device. In addition, the power reduction technique developed in this work at the physical/hardware level is effective. Reliability of algorithms developed for monitoring these parameters is assessed by Fluke Prosim8 Vital Signs Simulators (produced by Fluke Corp. USA).

Practical implications

The MPMS device provides long-term health monitoring without interference from normal personal activities, which potentially allows applications in real-time daily healthcare monitoring, chronic diseases monitoring, elderly monitoring, human emotions recognization and so on.

Originality/value

First, a power reduction technique at the physical/hardware level is designed to realize low power consumption. Second, the proposed MPMS device enables simultaneously monitoring six key parameters. Third, unlike most monitoring systems in bulk size, the proposed system is much smaller (118 × 58 × 18.5 mm3, 140 g total weight). In addition, a comfortable smart shirt is fabricated to accommodate the portable device, offering reliable measurements.

Details

Sensor Review, vol. 35 no. 2
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 15 December 2021

Yin Shi, Liping Ding, Chenchen He, Fan Zhang, Zumeng Zhang and Qiyao Dai

This study aims to analyze those factors affecting the rural resident’s willingness to adopt solar photovoltaic (PV) which is important for accelerating the popularization…

Abstract

Purpose

This study aims to analyze those factors affecting the rural resident’s willingness to adopt solar photovoltaic (PV) which is important for accelerating the popularization of clean energy in China.

Design/methodology/approach

This study contained a sample of 653 households in 8 provinces/regions by stratified, and random sampling in rural China. Descriptive analysis, exploratory factor analysis and confirmatory factor analysis techniques have been used for analytical purposes.

Findings

The empirical results indicate that financial incentive and social interaction have positive effects on rural residents’ adoption willingness, while village leaders’ engagement can indirectly influence their adoption willingness through social interaction and residents’ cognition.

Research limitations/implications

This study mainly considers external and internal factors but ignores the effect of technical factors. In addition, the samples are just selected from the residents who have adopted solar PV.

Practical implications

This study is expected to be useful for the government, regulators, village leaders, village leaders and other institutions.

Originality/value

This study conducts a systematic analysis and clarifies the relationship between factors (external and internal) and rural residents’ adoption willingness. The village leaders’ engagement is first added to the conceptual model as an external factor, which is very essential in rural residents’ adoption in China.

Details

International Journal of Energy Sector Management, vol. 16 no. 5
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 17 December 2019

Fang Wang, Shiting Lin, Xiaoyu Liu, Chunyan Jiang and Jianing Li

The former residences of historical figures are typical landscape elements of historic districts, which are characterised by the styles of these residences and spiritual…

Abstract

Purpose

The former residences of historical figures are typical landscape elements of historic districts, which are characterised by the styles of these residences and spiritual historical figures cultures. The purpose of this paper is to determine how the former residences respond once the historical figures living there have passed.

Design/methodology/approach

The history of human culture and progression of urban construction – which are submerged in societal transformation – is recorded for old Beijing city. Narrative space theory is used and methods such as a content analysis, map overlay and the Geographic Information System are employed to analyse the selected 300 former residences of historical figures in old Beijing city.

Findings

The results are as follows: the political setting played a key role in the evolution process, three political narrative areas in the inner city and one cultural narrative area in the outer city form the narrative spatial structure of the former residences of historical figures, “government construction” and “resident construction” are the main reasons for the loss and destruction of narrative spaces and ordinary life is an important channel for showcasing the history of former residences. The narrative spaces of these residences carry double histories, namely, the development of human history and of city construction.

Originality/value

Different from former studies that focus on the preservation of the single historical building, this study explores the integral logic of historic buildings in the whole city through narrative space theory to get a combination of culture and space.

Details

International Journal of Tourism Cities, vol. 6 no. 2
Type: Research Article
ISSN: 2056-5607

Keywords

Book part
Publication date: 15 September 2017

Jingjing Yang and Hao-Chang Sung

We analyze the economic consequence of government intervention on the incidence of accounting fraud and audit fees of both Big 4 and local big auditors on Chinese audit…

Abstract

We analyze the economic consequence of government intervention on the incidence of accounting fraud and audit fees of both Big 4 and local big auditors on Chinese audit market in the period 2006–2013. In 2009, Chinese government issued favorable polices to local big auditors and required certain Chinese companies to give priority to these auditors. We find that market share of Big 4 auditors is quite stable before and after government intervention, but market share of local big auditors increases at the cost of local small auditors after intervention. Although audit fee premiums of both local big and Big 4 auditors have increased after intervention, the positive effect of local big auditors on audit fee premiums has significantly decreased. Further, both Big 4 and local big auditors are not likely to reduce the incidence of accounting fraud in pre- and post-intervention period. Our results suggest that Chinese government support to local auditors does not significantly enhance these auditors’ competitiveness in terms of audit fee and audit quality.

Details

Advances in Pacific Basin Business Economics and Finance
Type: Book
ISBN: 978-1-78743-409-7

Keywords

1 – 10 of 241