Proposes that decisions on reward distribution are affected by preferences for various distributive principles and by the social context within which distribution takes place…
Abstract
Proposes that decisions on reward distribution are affected by preferences for various distributive principles and by the social context within which distribution takes place. Using a Chinese sample this relationship is tested. Identifies that the strength of preference for a particular distributive principle was a major predictor for a corresponding decision, however such influences were neutralised by secondary preferences for competing principles. Provides some insight into the Chinese psychology.
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Thomas M. Begley, Cynthia Lee, Yongqing Fang and Jianfeng Li
Power distance was tested as a moderator of the relationship between justice concerns and employee outcomes in a sample of employees in the People’s Republic of China. Two…
Abstract
Power distance was tested as a moderator of the relationship between justice concerns and employee outcomes in a sample of employees in the People’s Republic of China. Two hypotheses were developed based on the quality of authority‐member relations prescribed by the relational model of authority in groups. In two‐way interactions, higher power distance combined with procedural justice to predict employee outcomes, whereas lower power distance combined with distributive justice.
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Zhiqiang Liu, Zhenyao Cai, Ji Li, Shengping Shi and Yongqing Fang
The purpose of this research is to study how an approach of culturally‐specific human resource management (HRM) should moderate the relationship between leadership style and…
Abstract
Purpose
The purpose of this research is to study how an approach of culturally‐specific human resource management (HRM) should moderate the relationship between leadership style and employee turnover.
Design/methodology/approach
Questionnaire data were collected from firms in both Shenzhen and Hong Kong. The subjects are 190 leader/member dyads (111 (58 percent) were from mainland China (i.e. Shenzhen), and 79 (42 percent) were from Hong Kong). Hierarchical regression model is adopted to test the hypotheses.
Findings
Collecting empirical data from firms in different regions of China, it was found that a leadership style, i.e. leader‐member exchange (LMX), can have a significant effect on employee turnover. Moreover, the effect of LMX can be moderated by the C‐HRM‐oriented HRM (C‐HRM) approach. The paper concludes with a discussion of the implications of the findings to academic researchers and practitioners. There exist both the direct effect and interactive effect of LMX on employees' organization identity, which in turn affects their turnover. Moreover, collectivism‐oriented HRM (C‐HRM) moderates the relationship between LMX and employees' organization identity. Other conditions being equal, the higher the C‐HRM, the stronger is the positive relationship between LMX and organization identity.
Originality/value
Integrating prior research on LMX, C‐HRM, organization identity and employee retention, this study examines the relationships among LMX, organization identity and employee retention. This is the first study testing these relationships. The findings have several important implications. For instance, this study documents both the direct and moderating effects of C‐HRM on employees' performance for the first time, which will be helpful for the development of new studies on human resource management and cross‐cultural management.
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Jose Weng Chou Wong, Ivan Ka Wai Lai and Shan Wang
While travelling, tourists like to use mobile technology to share their travel experiences. This study aims to understand how the social value gained by tourists from sharing a…
Abstract
Purpose
While travelling, tourists like to use mobile technology to share their travel experiences. This study aims to understand how the social value gained by tourists from sharing a travel experience with mobile technology affects their satisfaction with the travel experience through onsite mobile sharing behaviour.
Design/methodology/approach
A second-order hierarchical model is constructed to examine the moderated mediating role of onsite mobile sharing behaviour in improving tourists’ travel satisfaction. Through systematic sampling, 304 responses were collected at ten attraction points in Guangzhou and Shenzhen, China.
Findings
The results show that, compared with self-centred values (self-presentation and self-identification), other-centred values (building social connection and reciprocity) contribute more to forming social values of sharing. In addition, onsite mobile sharing behaviour partially mediates and moderates the effect of social values on travel satisfaction.
Originality/value
This study applies the social capital theory to identify the value gained by sharing travel experiences and empirically evaluates the impact of these values on the overall value of sharing travel experiences. This study also contributes to tourism research by examining the moderated mediating role of onsite mobile sharing behaviour in improving travel satisfaction. This study helps destination marketing to make strategies to motivate tourists to use mobile technology to share their travel experiences while travelling.
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Lipeng Pan, Yongqing Li, Xiao Fu and Chyi Lin Lee
This paper aims to explore the pathways of carbon transfer in 200 US corporations along with the motivations that drive such transfers. The particular focus is on each firm’s…
Abstract
Purpose
This paper aims to explore the pathways of carbon transfer in 200 US corporations along with the motivations that drive such transfers. The particular focus is on each firm’s embeddedness in the global value chain (GVC) and the influence of environmental law, operational costs and corporate social responsibility (CSR). The insights gleaned bridge a gap in the literature surrounding GVCs and corporate carbon transfer.
Design/methodology/approach
The methodology comprised a two-step research approach. First, the authors used a two-sided fixed regression to analyse the relationship between each firm’s embeddedness in the GVC and its carbon transfers. The sample consisted of 217 US firms. Next, the authors examined the influence of environmental law, operational costs and CSR on carbon transfers using a quantitative comparison analysis. These results were interpreted through the theoretical frameworks of the GVC and legitimacy theory.
Findings
The empirical results indicate positive relationships between carbon transfers and GVC embeddedness in terms of both a firm’s position and its degree. From the quantitative comparison, the authors find that the pressure of environmental law and operational costs motivate these transfers through the value chain. Furthermore, CSR does not help to mitigate transfers.
Practical implications
The findings offer insights for policymakers, industry and academia to understand that, with globalised production and greater value creation, transferring carbon to different parts of the GVC – largely to developing countries – will only become more common. The underdeveloped nature of environmental technology in these countries means that global emissions will likely rise instead of fall, further exacerbating global warming. Transferring carbon is not conducive to a sustainable global economy. Hence, firms should be closely regulated and given economic incentives to reduce emissions, not simply shunt them off to the developing world.
Social implications
Carbon transfer is a major obstacle to effectively reducing carbon emissions. The responsibilities of carbon transfer via GVCs are difficult to define despite firms being a major consideration in such transfers. Understanding how and why corporations engage in carbon transfers can facilitate global cooperation among communities. This knowledge could pave the way to establishing a global carbon transfer monitoring network aimed at preventing corporate carbon transfer and, instead, encouraging emissions reduction.
Originality/value
This study extends the literature by investigating carbon transfers and the GVC at the firm level. The authors used two-step research approach including panel data and quantitative comparison analysis to address this important question. The authors are the primary study to explore the motivation and pathways by which firms transfer carbon through the GVC.
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Jiazhi Miao, Yongqing Li, Xiang Rao, Libao Zhu, Zhiwei Guo and Chengqing Yuan
The emission from marine engines has a crucial effect on energy economy and environment pollution. One of the effective emission reduction schemes is to minimize the friction loss…
Abstract
Purpose
The emission from marine engines has a crucial effect on energy economy and environment pollution. One of the effective emission reduction schemes is to minimize the friction loss of main friction pairs such as cylinder liner-piston ring (CLPR). Micro-groove textures were designed to accomplish this aim.
Design/methodology/approach
The authors experimentally investigated the effects of micro-groove textures at different cylinder liner positions. The micro-groove texture was fabricated on samples by chemical etching and cut from the real CLPR pair. Sliding contact tests were conducted by a reciprocation test apparatus.
Findings
The average friction coefficient of grooves at 30° inclination were reduced up to 58.22% and produced better tribological behavior at most conditions. The operating condition was the critical factor that determined the optimum texture pattern. The surface morphology indicated that textures could produce smoother surfaces and less scratches as compared with the untextured surface.
Originality/value
Inclined grooves and V-grooves were designed and applied to real CLPR pairs. The knowledge obtained in this study will lead to practical basis for tribological design and manufacturing of CLPR pair in marine diesel engines.
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Yongqing Yang, Jianyue Xu, Lesley Pek Wee Land, Shuiqing Yang and Thomas Chesney
People's socializing behavior in social networking services (SNS) presents dramatically different features, forming differentiated online social interaction patterns (DOSIP) in…
Abstract
Purpose
People's socializing behavior in social networking services (SNS) presents dramatically different features, forming differentiated online social interaction patterns (DOSIP) in SNS. This study aims to explore the relationships between users' multidimensional psychological needs and multiple social interaction patterns in SNS.
Design/methodology/approach
Based on Maslow's hierarchy of needs and use and gratifications (U&G) theory, the authors develop the research model to examine the effects of psychological needs on DOSIP. A survey is used to collect the data of SNS users' social interaction. The authors adopt structural equation modeling–neural network (SEM-NN) integrated method to examine the research model.
Findings
Need to belong, need for self-esteem, need for social contact, need for emotional expression, need for cognition, and need for external-esteem have significant influences on both active and passive social interactions respectively.
Originality/value
Based on the categorization of DOSIP into six types in terms of the level of activity and disclosure of social interaction, the authors construct an integrated research model of multidimensional psychological needs to multiple social interaction patterns, and validate the antecedents of DOSIP from the perspective of psychological needs.
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This paper aims to investigate asymmetric long-run effects of bilateral exchange rate on US trade imbalances with China and to examine if the effects are the same under China’s…
Abstract
Purpose
This paper aims to investigate asymmetric long-run effects of bilateral exchange rate on US trade imbalances with China and to examine if the effects are the same under China’s fixed and managed floating exchange rate systems.
Design/methodology/approach
The authors estimate both linear autoregressive distributed lag (ARDL) model assuming symmetric effect and nonlinear ARDL model assuming asymmetric effect of exchange rate on US trade deficit with China. The authors use data from 1994Q1 to 2005Q2 (under Chinese fixed exchange rate system), from 2005Q3 to 2021Q3 (under Chinese managed floating exchange rate regime), and from 1994Q1 to 2021Q3 (overall data).
Findings
The Chow test indicates 2005Q3 is a structure break point. Further, the results suggest the effects of bilateral exchange rate on US trade deficit with China are not the same under different exchange rate systems. The asymmetric long-run effect of bilateral exchange rate does exist. The results also demonstrate the depreciation of Chinese currency will not significantly affect US trade imbalances with China.
Research limitations/implications
Based on the results, the Chinese Government should embrace a more transparent and flexible exchange rate system. It will not significantly hurt Chinese trade balance, but it will help to reduce the tension between the USA and China.
Originality/value
All previous literature (except two papers) related to the effect of Chinese exchange rate on US trade deficit with China assume the effect is symmetric, and all (except one) use data under different Chinese exchange rate systems. To the best of the authors’ knowledge, this is the first paper that studies the possible asymmetric long-run effect of bilateral exchange rate under different Chinese exchange rate regimes.
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Yongqing Ma, Yifeng Zheng, Wenjie Zhang, Baoya Wei, Ziqiong Lin, Weiqiang Liu and Zhehan Li
With the development of intelligent technology, deep learning has made significant progress and has been widely used in various fields. Deep learning is data-driven, and its…
Abstract
Purpose
With the development of intelligent technology, deep learning has made significant progress and has been widely used in various fields. Deep learning is data-driven, and its training process requires a large amount of data to improve model performance. However, labeled data is expensive and not readily available.
Design/methodology/approach
To address the above problem, researchers have integrated semi-supervised and deep learning, using a limited number of labeled data and many unlabeled data to train models. In this paper, Generative Adversarial Networks (GANs) are analyzed as an entry point. Firstly, we discuss the current research on GANs in image super-resolution applications, including supervised, unsupervised, and semi-supervised learning approaches. Secondly, based on semi-supervised learning, different optimization methods are introduced as an example of image classification. Eventually, experimental comparisons and analyses of existing semi-supervised optimization methods based on GANs will be performed.
Findings
Following the analysis of the selected studies, we summarize the problems that existed during the research process and propose future research directions.
Originality/value
This paper reviews and analyzes research on generative adversarial networks for image super-resolution and classification from various learning approaches. The comparative analysis of experimental results on current semi-supervised GAN optimizations is performed to provide a reference for further research.