Hongxia Lin, Meng Zhang and Dogan Gursoy
This study aims to examine the relationship among nonverbal customer-to-customer interactions (CCIs), positive and negative emotions, customer satisfaction and loyalty intentions.
Abstract
Purpose
This study aims to examine the relationship among nonverbal customer-to-customer interactions (CCIs), positive and negative emotions, customer satisfaction and loyalty intentions.
Design/methodology/approach
The conceptual model that was developed using the stimulus-organism-response theoretical framework was tested using a sample of 583 consumers.
Findings
The results show that kinesics and paralanguage positively affect customers’ positive emotions while proxemics, paralanguage and physical appearance negatively influence their negative emotions. Further, both positive and negative emotions are found to have significant impacts on customer satisfaction and loyalty intentions.
Research limitations/implications
Theoretically, this study not only contributes to the existing servicescape and customer experience literature but also expands nonverbal interaction research in the hospitality management field. However, results may have limited generalizability to other service settings and other cultural contexts.
Originality/value
This study is one of the first to investigate the impact of nonverbal CCIs on service experiences.
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Lin Xue, Qiang Miao, Wenping Liang, Hui Zhao, Weiwei Shi, Shiwei Zuo and Hanchun Ma
The purpose of this paper is to prepare Ti(C,N) coatings on TA15 treated and not treated by shot peening using double glow plasma alloying technique. The effect of shot peening on…
Abstract
Purpose
The purpose of this paper is to prepare Ti(C,N) coatings on TA15 treated and not treated by shot peening using double glow plasma alloying technique. The effect of shot peening on the wear behavior of Ti(C,N) coatings is discussed.
Design/methodology/approach
The Ti(C,N) coatings were prepared by double glow plasma alloying technique on two different TA15 substrate; one is shot peened and the other is not.
Findings
Ti(C,N) coating on SP-treated TA15 was thicker and denser, and the grain size was smaller compared with that on original TA15. Compared with the Ti(C,N) coating on original TA15, the wear resistance of that on SP-treated TA15 is improved. Ti(C,N) coating on SP-treated TA15 showed higher nanohardness and bearing capacity than that on original TA15.
Originality/value
For double glow plasma alloying technique, surface quality, surface activity and other factors will have influence on the thickness and density of the coating. The wear mechanisms of Ti(C,N) coating on original TA15 are serious abrasive wear and oxidation wear. However, the wear mechanism of Ti(C,N) coating on SP-treated TA15 is slightly oxidation wear.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0283/
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Hongxia Wang, Hua Zhou, Haitao Niu, Chen Huang, Amir Abbas, Jian Fang and Tong Lin
In this study, superhydrophobic fabric is prepared with a wet-chemical coating technique that uses a coating solution synthesized by the co-hydrolysis and co-condensation of…
Abstract
In this study, superhydrophobic fabric is prepared with a wet-chemical coating technique that uses a coating solution synthesized by the co-hydrolysis and co-condensation of tetraethyl orthosilicate and fluoroalkyl silane (tridecafluorooctyl triethoxysilane) under an alkaline condition. The treated fabric shows stable superhydrophobicity with a water contact angle as high as 171°, and a sliding angle as low as 2°. The coated fabric has higher repellency to saline water, and its repellency increases with increases in the salt content in the solution. The contact angle is reduced with increases in liquid temperature. When the water temperature is 90°C, the contact angle on the superhydrophobic fabric is 153°. The superhydrophobic treatment slightly reduces the air permeability, but increases the water vapor permeability of the fabric. The treatment considerably increases the liquid breakthrough pressure, but has little effect on fabric pore size and thermal conductivity. The air gap membrane distillation process is used to evaluate the desalination performance of the superhydrophobic fabric. When the feed and the condenser are kept at 90°C and 20°C, respectively, the membrane distillation (MD) system with the superhydrophobic fabric yields a permeate flux of water up to 13.8 kg m-2 hour-1, which is slightly higher than that with the use of polymer and inorganic MD membranes reported. Superhydrophobic fabrics may thus be considered as effective MD membranes for water desalination applications.
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This study aims to investigate the actual usage (AU) of digital payment systems by the consumers during the period of demonetization (from November 9, 2016 to December 30, 2016…
Abstract
Purpose
This study aims to investigate the actual usage (AU) of digital payment systems by the consumers during the period of demonetization (from November 9, 2016 to December 30, 2016) in India.
Design/methodology/approach
The conceptual frame work for this study is based on the unified theory of acceptance and use of technology (UTAUT 2) and innovation resistance theory. A total of 766 sample respondents were surveyed using a pre-tested questionnaire. The empirical validation of the framework and analysis was done using partial least squares (PLS)-structural equation modeling (SEM) technique.
Findings
The results suggest that the behavioral intention (BI) to use and innovation resistance (IR) affect the usage of digital payment systems. The relation between BI to use digital payment systems and the AU of digital payment systems is moderated by the stickiness to cash payments.
Research limitations/implications
This cross-sectional study is limited by geographic constraints and highlights the AU of digital payment systems by using the UTAUT 2 and IR theory only during the demonetization period.
Practical implications
This study offers valuable insights to the economists, policymakers and digital payment service providers regarding the usage of digital payment systems by consumers during demonetization.
Originality/value
This study assumes importance as it empirically examines the influence of BI and IR on the AU of digital payment systems during the demonetization period in India. This study empirically validates the moderating influence of stickiness to cash payments on the AU of digital payment systems.
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Hongxia Tong, Jian Cao, ShenSheng Zhang and Yujie Mou
This paper aims to define an extended QoS model to accurately describe the quality of web service in the open distributed environment and propose a fuzzy evaluation approach for…
Abstract
Purpose
This paper aims to define an extended QoS model to accurately describe the quality of web service in the open distributed environment and propose a fuzzy evaluation approach for services selection based on the extended QoS model.
Design/methodology/approach
The extended QoS model classifies the quality criteria of web service as five composite quality criteria, and each composite quality criterion is composed by one or more sub‐quality criteria. Considering the multiple forms of representation for the quality criteria and different types of quality value could not be compared directly, a scaling fuzzy measure for quality criteria is introduced. Based on the scaling fuzzy measure of the quality criteria, a fuzzy synthetic evaluation system for services selection is proposed.
Findings
The quality of web service has multiple facets and multiple forms of representation. The fuzzy synthetic evaluation system can deal well with the fuzzy and implicit concepts about quality evaluations and provides higher expressive force and adaptability.
Research limitations/implications
The quality of service in this paper is static preset.
Originality/value
The extended QoS model and the synthetic fuzzy evaluation system cover the shortage of the related researches and lay the foundations for QoS‐oriented service description and services selection.
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Hongxia Wang, Jie Ding, Tong Lin and Xungai Wang
In this paper, we report on superhydrophobic fabrics (polyester, wool and cotton) produced by a wet-chemical coating technique. The coating solutions were synthesized by the…
Abstract
In this paper, we report on superhydrophobic fabrics (polyester, wool and cotton) produced by a wet-chemical coating technique. The coating solutions were synthesized by the co-hydrolysis of two silane precursors, tetraethyl orthosilicate (TEOS) and an alkylsilane, in an alkaline condition. Without any purification, the as-hydrolyzed solutions were directly used to treat fabrics, and the treated fabrics had water contact angles (CA) as high as 170° and sliding angles (SA) as low as 5°. Three alkylsilanes have been used for the synthesis of the coating solutions, and all contain three hydrolysable alkoxyl groups and one non-hydrolysable alkyl, but with different chain lengths (C1, C8 and C16). It was found that the CA value increased with an increase in the alkyl chain length, while the SA showed a reverse trend. When the functional group had a C16 alkyl, the treated fabric surfaces were highly superhydrophobic, with the CA not being affected much by the fabric type, while theSA values were slightly affected by the original wettability of the fabric substrates. The superhydrophobic feature was attributed to a highly rough surface formed by the particulate coating. Aside from the superhydrophobicity, the influence of the coating on the fabric softness was also examined.
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Zheng (Daniel) Duan, Christian Yao and Hongxia Qi
Extensive research has demonstrated the influence of job resources on mitigating the impact of high job demands on individual well-being. Still, little is known about how…
Abstract
Purpose
Extensive research has demonstrated the influence of job resources on mitigating the impact of high job demands on individual well-being. Still, little is known about how individuals use job resources to cope. This study advances job demands-resources (JD-R) theory by investigating the process of job resource utilization from a coping perspective.
Design/methodology/approach
This study is based on in-depth interviews with 32 Chinese senior executives using a Critical Incident Technique (CIT) for data collection and thematic analysis for data analysis.
Findings
Data analysis reveals a 2x2 matrix model of resource utilization, highlighting the relevance of internal and external job resources in coping and resource creation.
Practical implications
The findings suggest that work stress intervention should look beyond the organizational domain and assist senior executives in exploring and developing external resources for coping. Additionally, organizations should equip senior executives with sufficient support to create new job resources that effectively manage complicated job demands.
Originality/value
The results of this study extend the understanding of job resources by distinguishing internal and external job resources. It also provides a dynamic view of resource utilization, emphasizing the role of job crafting in creating adaptable job resources to meet job demands.
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Qinguo Fan, Hongxia Xue and Yong K. Kim
Woven and knitted polyester fabrics were pretreated with formulations containing waterborne UV curable resins and silica particles to improve inkjet print quality. The selected…
Abstract
Woven and knitted polyester fabrics were pretreated with formulations containing waterborne UV curable resins and silica particles to improve inkjet print quality. The selected formulations were applied with low add-on to reduce the adverse effect on fabric hand without sacrificing the print quality. A print pattern with block areas and lines in cyan, magenta, yellow, and black colors was designed and inkjet printed on the pretreated fabrics with a wide-format inkjet printer (Encad Novajet 750) to investigate the effects of the UV curable pretreatment on the inkjet print color qualities including color depth, color gamut and color lightness.
Experimental results show that both the color depth and gamut of prints on the pretreated taffeta and knitted polyester fabrics were enhanced compared to those on untreated polyester fabrics. However, both the color depth and gamut of the prints on the pretreated satin polyester fabrics were reduced. The lightness change of the inkjet printed colors on pretreated knitted fabrics is similar to that of untreated fabrics whereas the lightness change of prints on pretreated satin and taffeta fabrics shows some differences. All colors have increased lightness on pretreated satin fabrics. However, magenta and black have decreased lightness on the pretreated taffeta fabrics.
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Chialing Hsieh, Vivek Pandey and Hongxia Wang
The purpose of this paper is to examine CEO compensation in immigrant-founder firms vs CEO compensation in non-immigrant-founder firms.
Abstract
Purpose
The purpose of this paper is to examine CEO compensation in immigrant-founder firms vs CEO compensation in non-immigrant-founder firms.
Design/methodology/approach
Univariate and multi-variate tests are implemented. CEO compensation is designed as a function of the origin of a firm’s founder (immigrant or native), executive characteristics and firm characteristics with firm and year fixed effect regressions. CEO compensation is measured with cash pay, equity-based pay and total compensation.
Findings
CEOs of immigrant-founder firms receive higher equity-based compensation and higher total pay than CEOs of non-immigrant-founder firms and the levels of their equity-based and total compensation are contingent upon their stock ownership. CEOs in high-growth immigrant-founder firms receive higher stock-based pay than their counterparts in non-immigrant-founder firms. Immigrant-founder family firms compensate their CEOs with higher equity-based pay than immigrant-founder non-family firms.
Practical implications
The paper provides some explanations on the success of immigrant-founder firms. CEO compensation designs in immigrant-founder firms can be adopted in other firms.
Social implications
The paper provides some rationale for immigration legislation to encourage the talented to come to the USA and start their business in the USA.
Originality/value
This paper is the first to study executive compensation practice in immigrant-founder firms. The findings provide some practical and policy implications on immigration reform.
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To empirically estimate a rough set (RS) model in financial distress prediction for Chinese listed companies and assess its classification accuracy.
Abstract
Purpose
To empirically estimate a rough set (RS) model in financial distress prediction for Chinese listed companies and assess its classification accuracy.
Design/methodology/approach
RS model is used to test the effect of financial ratios and some non‐financial ratios on the probability of financial distress with a sample of 212 financial distressed firms and 212 healthy firms through years 1998‐2005.
Findings
Growth ratio of per share of equity, net return on assets, earnings per share, interest coverage, ownership concentration coefficient, net profit margin, pledge, retained‐earnings ratio and total assets turnover have strong classification power in financial distress prediction of Chinese listed companies, especially the ownership concentration coefficient. Prediction model combining financial and non‐financial ratios outperforms the one just containing financial ratios.
Research limitations/implications
One limitation of this research is that it relies on publicly available data and the RS method. Further research can be devoted to making comparisons between the RS method and other prediction methods, and constructing hybrid prediction models with the use of RS and other artificial intellectual methods as well.
Practical implications
It is necessary to consider every aspect of the company when making financial distress prediction, not just financial ratios, to improve the explanatory power of the prediction model.
Originality/value
This study explores how financial ratios and non‐financial ratios, with the help of RS theory, under the restricted tradability of stocks in the emerging stock market, impact on corporate financial distress. The prediction model employed here considers not only accounting ratios, but also cash flow and corporate governance variables, thus improving the prediction accuracy.