Kareen Brown, Fayez A. Elayan, Jingyu Li and Zhefeng Liu
The purpose of this paper is to investigate whether US regulatory actions around reverse mergers (RM) have exerted any spillover effects on the Chinese firms listed in China and…
Abstract
Purpose
The purpose of this paper is to investigate whether US regulatory actions around reverse mergers (RM) have exerted any spillover effects on the Chinese firms listed in China and whether Chinese firms have exhibited lower financial reporting quality than their US counterparts.
Design/methodology/approach
To test the possible spillover effect, this paper calculates three-day cumulative average abnormal returns (CAAR) and the aggregate CAAR for a series of US regulatory actions in 2010 and 2011. The study then compares the accrual quality, conditional conservatism, and information content of accruals of Chinese firms and US firms.
Findings
The paper documents a spillover effect of US actions around RM on Chinese stocks listed in China. Overall results do not support the perception that Chinese firms have lower financial reporting quality than their US counterparts.
Research limitations/implications
While this study provides evidence consistent with investors perceiving poor financial reporting quality among Chinese firms, that perception is not justified by empirical evidence.
Practical implications
Investors need not be overly concerned about the financial reporting quality among the Chinese firms when they make asset allocation decisions.
Social implications
A reality check is important given that perceptions may be outdated, biased, misleading, and costly.
Originality/value
This study puts the financial reporting quality of Chinese firms into perspective helping global investors assess information risk for optimal resource allocation.
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Adam Steinbach, Cynthia E. Devers, Gerry McNamara and Jingyu Li
In this chapter, we review recent work examining the influence individual executive characteristics exhibit on acquisition behavior, often in service of their private interests…
Abstract
In this chapter, we review recent work examining the influence individual executive characteristics exhibit on acquisition behavior, often in service of their private interests. In doing so, we outline the findings of this limited research, explore possible alternative explanations and factors, and discuss several novel data collection and methodological techniques that scholars have advanced in the upper echelon context, in recent years. As we discuss, we believe that researchers can more fruitfully explore the underlying personal, psychological, and social factors that motivate acquisition activity, by augmenting current techniques with these methodological innovations.
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Yue Suo, Jingyu Li, Yuanchun Shi and Peifeng Xiang
Smart spaces are open complex computing systems, consisting of a large variety of cooperative smart things. Central to building smart spaces is the support for sophisticated…
Abstract
Purpose
Smart spaces are open complex computing systems, consisting of a large variety of cooperative smart things. Central to building smart spaces is the support for sophisticated coordination among diverse smart things collaborating to accomplish specified tasks. Multi‐agent systems are often used as the software infrastructures to address the coordination issue in smart spaces. However, since agents in smart spaces are dynamic, resource‐bounded and have complicated service dependencies, current approaches to coordination in multi‐agent systems encounter new challenges when applied in smart spaces. The purpose of this paper is to address these issues.
Design/methodology/approach
The paper presents Baton, a service management system to explicitly resolve the particular issues stemming from smart spaces when coordinating agents. Baton is designed as a complement to coordination approaches in multi‐agent systems with a focus on mechanisms for service discovery, composition, request arbitration and dependency maintenance. Baton is now deployed in our own smart spaces to achieve better agent coordination.
Findings
The effectiveness and efficiency of Baton is validated by its practical use in the designed scenario and some evaluation experiments.
Research limitations/implications
An attempt at performing dynamic service composition in Baton is made by using semantic information in future work.
Originality/value
Baton, a service management system to explicitly resolve the particular issues stemming from smart spaces when coordinating agents is presented.
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Ganli Liao, Xinshuai Hou, Yi Li and Jingyu Wang
Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of…
Abstract
Purpose
Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of external knowledge sources, this study aims to construct a panel regression model to explore the relationship between digital economy and industrial green innovation efficiency.
Design/methodology/approach
Panel data from 30 regions in China from 2011 to 2020 were selected as research samples. All data are obtained from national and provincial statistical yearbooks. Coupling coordination degree analysis, entropy method, panel regression analysis, robustness test and threshold effect test by Stata 16.0 were used to test the hypotheses.
Findings
The empirical results demonstrate the hypotheses and reveal the following findings: the digital economy is positively related to industrial green innovation efficiency and external knowledge sources, and external knowledge sources mediate the relationship between them. Moreover, based on the threshold test results, the digital economy has a double-threshold effect on industrial green innovation efficiency.
Originality/value
Based on the perspective of external knowledge sources, the proposed mediating mechanism between the digital economy and industrial green innovation efficiency has not been established previously, further enriching the research on the antecedents and outcomes of external knowledge sources. Moreover, this study estimated the direct influence mechanism and double-threshold effect of the digital economy on industrial green innovation efficiency from theoretical and empirical analysis, thus responding to the call of scholars and adding to existing research on how the digital economy affects the green transformation of industrial enterprises.
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Jingyu Liu, Lingxu Zhou and Yibei Li
The purpose of this study is to evaluate service robots as an alternative service provider that can reduce customers’ social discomfort in hospitality service encounters…
Abstract
Purpose
The purpose of this study is to evaluate service robots as an alternative service provider that can reduce customers’ social discomfort in hospitality service encounters. Specifically, the authors discuss when and in what scenarios service robots can alleviate such social discomfort and explain this effect from the perspective of dehumanization.
Design/methodology/approach
Following a social constructivist paradigm, the authors adopt a qualitative research design, gathering data through 21 semistructured interviews to explore why the presence of service employees causes customers’ social discomfort in hospitality service encounters and how service robots alleviate such discomfort.
Findings
This study’s results suggest that both the active and passive engagement of service employees are sources of customers’ social discomfort in hospitality service encounters; thus, adopting service robots can help reduce such discomfort in some scenarios. Customers’ differentiating behaviors, a downstream effect of social discomfort, are also addressed.
Practical implications
Service robots can reduce customers’ social discomfort in certain scenarios and influence their consumption behaviors. This finding offers actionable insights regarding the adoption of service robots in hospitality service encounters.
Originality/value
This research enhances the understanding of social discomfort in hospitality service encounters and expands the research on service robots. To the best of the authors’ knowledge, it is the first attempt to reveal the bright side of robots in service encounters from a dehumanization perspective.
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Jingyu Dong, Beth Clark, Wenjing Li, Shan Jin and Lynn J Frewer
Unhealthy diets are associated with an increased risk of non-communicable diseases and present a significant public health challenge. When developing effective interventions and…
Abstract
Purpose
Unhealthy diets are associated with an increased risk of non-communicable diseases and present a significant public health challenge. When developing effective interventions and policies, consideration must be given to the unique social culture in which food choice is embedded. Health vulnerabilities to poor nutrition exist throughout life but may be influenced by socio-cultural factors such as age. This study aimed to assess the attitudes of older or younger Chinese consumers towards healthy eating and explore the factors influencing their food choices.
Design/methodology/approach
Semi-structured interviews were conducted in Wuhan, China, with 20 consumers aged 18–25 (Group A) and 20 consumers aged 65 and over (Group B).
Findings
Thematic analysis revealed that the two groups had positive attitudes towards healthy eating, although Group A participants were more knowledgeable. Time pressure, food prices and social networks differentially influence healthy eating practices across age groups.
Originality/value
Given China’s economic and cultural context, healthy eating interventions should consider the individual characteristics and food preferences of the different age groups. This approach can optimize targeted healthy eating interventions, and media communications related to healthy eating.
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Yanli Feng, Ke Zhang, Haoyu Li and Jingyu Wang
Due to dynamic model is the basis of realizing various robot control functions, and it determines the robot control performance to a large extent, this paper aims to improve the…
Abstract
Purpose
Due to dynamic model is the basis of realizing various robot control functions, and it determines the robot control performance to a large extent, this paper aims to improve the accuracy of dynamic model for n-Degree of Freedom (DOF) serial robot.
Design/methodology/approach
This paper exploits a combination of the link dynamical system and the friction model to create robot dynamic behaviors. A practical approach to identify the nonlinear joint friction parameters including the slip properties in sliding phase and the stick characteristics in presliding phase is presented. Afterward, an adaptive variable-step moving average method is proposed to effectively reduce the noise impact on the collected data. Furthermore, a radial basis function neural network-based friction estimator for varying loads is trained to compensate the nonlinear effects of load on friction during robot joint moving.
Findings
Experiment validations are carried out on all the joints of a 6-DOF industrial robot. The experimental results of joint torque estimation demonstrate that the proposed strategy significantly improves the accuracy of the robot dynamic model, and the prediction effect of the proposed method is better than that of existing methods.
Originality/value
The proposed method extends the robot dynamic model with friction compensation, which includes the nonlinear effects of joint stick motion, joint sliding motion and load attached to the end-effector.
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Jingyu Cheng, Minxi Wang, Lilin Wu and Xin Li
The purpose of this paper is to explore the high-quality development (HQD) strategy of Chinese mineral resource enterprises, which is important for Chinese mineral resource…
Abstract
Purpose
The purpose of this paper is to explore the high-quality development (HQD) strategy of Chinese mineral resource enterprises, which is important for Chinese mineral resource enterprises to improve the efficiency and benefit of resource utilization, reduce the intensity of resource and energy consumption and gradually form resource-saving and environment-friendly enterprises.
Design/methodology/approach
This study establishes an evaluation index system with four dimensions: economy, environment, society and management innovation. The entropy value method assigns weights to them and then uses the system dynamics (SD) model for case simulation.
Findings
The results of the SD simulation conclude that the fulfillment of social responsibility and the implementation of management innovation can accelerate the realization of HQD of mineral resource enterprises; profitability plays a crucial role in economic indicators; the improvement of energy-saving volume has the most significant impact on environmental benefits; the social contribution is the key element to measure social indicators; and the sales rate of core products has the most significant impact on the benefits of management innovation.
Originality/value
Based on the few studies on the evaluation of the development strategy of mineral resource enterprises, this study establishes an evaluation index system that considers the interactions between indicators, combines the entropy value method with SD and uses the SD model to comprehensively and systematically analyze the impact and degree of each factor on the HQD of mineral resource enterprises.