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1 – 10 of 310Weihua Liu, Zhixuan Chen, Tsan-Ming Choi, Paul Tae-Woo Lee, Hing Kai Chan and Yongzheng Gao
This study aims to explore the impact of carbon neutral announcements on “stock market value” of publicly listed companies in China.
Abstract
Purpose
This study aims to explore the impact of carbon neutral announcements on “stock market value” of publicly listed companies in China.
Design/methodology/approach
The event study approach is adopted. Market, market-adjusted, Carhart four-factor model and a cross-sectional regression model are employed to examine the impacts of carbon neutral announcements on “stock market value” of Chinese companies based on data from 188 carbon neutral announcements.
Findings
Carbon neutral announcements positively impact Chinese shareholder value. Carbon neutral announcements at the strategic level have a more positive and significant impact on Chinese stock market value. Innovative carbon neutral announcements do not significantly cause Chinese stock market reactions. Companies have more positive and significant stock market reactions when the companies make carbon neutral announcements that reflect high supply chain network resilience and heterogeneity and strong supply chain network relationships.
Practical implications
The findings uncover the business value of carbon neutral activities and provide operations managers in developing countries insights into how to improve enterprises' market value by actively implementing carbon neutral activities.
Originality/value
This paper is the first trial to apply an event study to examine the relationship between carbon neutral announcements and Chinese stock market value from the perspective of announcement level and type and supply chain networks. This paper introduces corporate reputation theory and enriches the application of corporate reputation theory in the field of low-carbon environmental protections and supply chains.
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Shaonan Shi, Feixiang Tang, Yongqiang Yu, Yuzheng Guo, Fang Dong and Sheng Liu
Hoping to uncover the physical principles of the vibration of the functionally graded material (FGM) microplate, by which the authors can make contributions to the design and…
Abstract
Purpose
Hoping to uncover the physical principles of the vibration of the functionally graded material (FGM) microplate, by which the authors can make contributions to the design and manufacturing process in factories like micro-electro-mechanical system (MEMS) and other industries.
Design/methodology/approach
The authors design a method by establishing a reasonable mathematical model of the physical microplate composed of a porous FGM.
Findings
The authors discover that the porosity, the distributions of porosity, the power law of the FGM and the length-to-thickness ratio all affect the natural frequency of the vibration of the microplate, but in different ways.
Originality/value
Originally proposed a model of the micro FGM plate considering the different distributions of the porosity and scale effect and analyzed the vibration frequency of it.
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Boyang Hu, Ling Weng, Kaile Liu, Yang Liu, Zhuolin Li and Yuxin Chen
Gesture recognition plays an important role in many fields such as human–computer interaction, medical rehabilitation, virtual and augmented reality. Gesture recognition using…
Abstract
Purpose
Gesture recognition plays an important role in many fields such as human–computer interaction, medical rehabilitation, virtual and augmented reality. Gesture recognition using wearable devices is a common and effective recognition method. This study aims to combine the inverse magnetostrictive effect and tunneling magnetoresistance effect and proposes a novel wearable sensing glove applied in the field of gesture recognition.
Design/methodology/approach
A magnetostrictive sensing glove with function of gesture recognition is proposed based on Fe-Ni alloy, tunneling magnetoresistive elements, Agilus30 base and square permanent magnets. The sensing glove consists of five sensing units to measure the bending angle of each finger joint. The optimal structure of the sensing units is determined through experimentation and simulation. The output voltage model of the sensing units is established, and the output characteristics of the sensing units are tested by the experimental platform. Fifteen gestures are selected for recognition, and the corresponding output voltages are collected to construct the data set and the data is processed using Back Propagation Neural Network.
Findings
The sensing units can detect the change in the bending angle of finger joints from 0 to 105 degrees and a maximum error of 4.69% between the experimental and theoretical values. The average recognition accuracy of Back Propagation Neural Network is 97.53% for 15 gestures.
Research limitations/implications
The sensing glove can only recognize static gestures at present, and further research is still needed to recognize dynamic gestures.
Practical implications
A new approach to gesture recognition using wearable devices.
Social implications
This study has a broad application prospect in the field of human–computer interaction.
Originality/value
The sensing glove can collect voltage signals under different gestures to realize the recognition of different gestures with good repeatability, which has a broad application prospect in the field of human–computer interaction.
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Zaihua Luo, Juliang Xiao, Sijiang Liu, Mingli Wang, Wei Zhao and Haitao Liu
This paper aims to propose a dynamic parameter identification method based on sensitivity analysis for the 5-degree of freedom (DOF) hybrid robots, to solve the problems of too…
Abstract
Purpose
This paper aims to propose a dynamic parameter identification method based on sensitivity analysis for the 5-degree of freedom (DOF) hybrid robots, to solve the problems of too many identification parameters, complex model, difficult convergence of optimization algorithms and easy-to-fall into a locally optimal solution, and improve the efficiency and accuracy of dynamic parameter identification.
Design/methodology/approach
First, the dynamic parameter identification model of the 5-DOF hybrid robot was established based on the principle of virtual work. Then, the sensitivity of the parameters to be identified is analyzed by Sobol’s sensitivity method and verified by simulation. Finally, an identification strategy based on sensitivity analysis was designed, experiments were carried out on the real robot and the results were verified.
Findings
Compared with the traditional full-parameter identification method, the dynamic parameter identification method based on sensitivity analysis proposed in this paper converges faster when optimized using the genetic algorithm, and the identified dynamic model has higher prediction accuracy for joint drive forces and torques than the full-parameter identification models.
Originality/value
This work analyzes the sensitivity of the parameters to be identified in the dynamic parameter identification model for the first time. Then a parameter identification method is proposed based on the results of the sensitivity analysis, which can effectively reduce the parameters to be identified, simplify the identification model, accelerate the convergence of the optimization algorithm and improve the prediction accuracy of the identified model for the joint driving forces and torques.
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Mubasher Iqbal, Rukhsana Kalim and Noman Arshed
This study has incorporated competitiveness by considering it a significant factor behind determining as well as moderating industrial value added in the environmental Kuznets…
Abstract
Purpose
This study has incorporated competitiveness by considering it a significant factor behind determining as well as moderating industrial value added in the environmental Kuznets curve (EKC) framework. This study aims to explore the moderating role of competitiveness policy in EKC with an aim to promote business led sustainability at national level.
Design/methodology/approach
Considering the environmental deterioration aspect of industrialization, this study tests the existence of EKC for SAARC countries using the data from 1996 to 2021 using second-generation static panel data model.
Findings
Estimated results have validated that moderating effect is responsible for improving environmental sustainability in SAARC countries. Furthermore, population density is responsible for increasing while trade openness is responsible for decreasing carbon emissions.
Originality/value
Higher industrial activities are a symbol of upward-moving economic growth. But its other impact is in the form of environmental deterioration. However, the relationship between industrialization and environmental quality can be identified through EKC.
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As China's economy begins to transform into a high-quality development, and under the national “carbon peak and carbon neutral” target, all sectors of society and industries need…
Abstract
Purpose
As China's economy begins to transform into a high-quality development, and under the national “carbon peak and carbon neutral” target, all sectors of society and industries need to transform to green development to varying degrees, coupled with the catalyst of epidemics and other factors, new development requirements are put forward for enterprises to better fulfill their climate risk disclosure behaviors. Thus, it is clear that improving corporate climate risk disclosure is of far-reaching significance to both countries and enterprises.
Design/methodology/approach
This study incorporates management science, psychology and other related knowledge fields, based on stakeholder theory and media dependency theory, and aims to improve the level of corporate compliance with climate risk disclosure, suggesting the influence of entrepreneurs' visibility on corporate climate risk disclosure; on this basis, the role of entrepreneurs' visibility and media attention on corporate climate risk disclosure is verified through an empirical model; finally, targeted and effective response strategies are proposed to improve corporate climate risk disclosure, set reasonable media attention and increase the effectiveness of entrepreneurs' visibility.
Findings
This paper establishes a multiple regression model using A-share listed companies in China from 2016 to 2022 as the research sample, verifies the intrinsic association between entrepreneurial visibility and corporate climate risk climate disclosure through empirical analysis, and further examines the mediating role of media attention in the relationship between the two. The results show that entrepreneurs' visibility is positively related to the level of corporate climate risk disclosure, with media attention playing a part in mediating the relationship between the two. Increasing entrepreneurs' visibility is conducive to increasing the level of corporate climate risk disclosure. Therefore, it contributes to the dual incentive effect of reputation and compensation.
Originality/value
This study incorporates management science, psychology and other related knowledge fields, based on stakeholder theory and media dependency theory, and aims to improve the level of corporate compliance with climate risk disclosure, suggesting the influence of entrepreneurs' visibility on corporate climate risk disclosure; on this basis, the role of entrepreneurs' visibility and media attention on corporate climate risk disclosure is verified through an empirical model; finally, targeted and effective response strategies are proposed to improve corporate climate risk disclosure, set reasonable media attention and increase the effectiveness of entrepreneurs' visibility.
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Prerana , Deepa Kapoor and Abhay Jain
This study aims to conduct a bibliometric analysis of sustainable tourism research published in Scopus-indexed journals covering the period from 1997 to 2021. Articles published…
Abstract
Purpose
This study aims to conduct a bibliometric analysis of sustainable tourism research published in Scopus-indexed journals covering the period from 1997 to 2021. Articles published during these 25 years were subjected to science mapping and performance analysis to propose potential areas for future research.
Design/methodology/approach
A bibliometric analysis using performance analysis and science mapping was conducted on 1,754 research papers retrieved from the Scopus database using the keyword “sustainable tourism.” Biblioshiny and VOSviewer are commonly used bibliometric tools. Science mapping techniques use coauthorship, keyword co-occurrence and co-citation analyses.
Findings
This study revealed the sustainable tourism publications’ spatial and temporal patterns, indicating a yearly growth rate of 19.9% during a 25-year period. The study identified Stefan Gossling as the most influential author, the “Journal of Sustainable Tourism” as the leading journal and Australia as the most productive country in sustainable tourism literature. The study used co-citation analysis to identify five thematic clusters, namely, reconceptualization and criticism, the role of residents, eco-labeling and the role of stakeholders, community-based tourism and the shift toward establishing sustainability indicators and effective governance and policymaking. The coauthorship analysis identifies the most influential author in collaborative efforts, and the most common pattern of collaboration is between researchers from different institutions in the same country, such as China and the Philippines, followed by collaborations between authors from other countries. The keyword co-occurrence analysis uncovered keywords that aligned with theme clusters generated from the co-citation analysis.
Originality/value
This study comprehensively uncovers five thematic clusters that have never been extracted so far in the literature. Also, it attempts to fill the gaps related to sustainable tourism by suggesting directions for future research.
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Ada Maria Barone, Emanuela Stagno and Carmela Donato
The purpose of this paper is to test the effect that anthropomorphic framing (i.e. robot vs automatic machine) has on consumers’ responses in case of service failure…
Abstract
Purpose
The purpose of this paper is to test the effect that anthropomorphic framing (i.e. robot vs automatic machine) has on consumers’ responses in case of service failure. Specifically, the authors hypothesize that consumers hold an unconscious association between the word “robot” and agency and that the higher agency attributed to self-service machines framed as robots (vs automatic machines) leads, in turn, to a more positive service evaluation in case of service failure.
Design/methodology/approach
The authors have conducted four experimental studies to test the framework presented in this paper. In Studies 1a and 1b, the authors used an Implicit Association Test to test for the unconscious association held by consumers about robots as being intelligent machines (i.e. agency). In Studies 2 and 3, the authors tested the effect that framing technology as robots (vs automatic machines) has on consumers’ responses to service failure using two online experiments across different consumption contexts (hotel, restaurant) and using different dependent variables (service evaluation, satisfaction and word-of-mouth).
Findings
The authors show that consumers evaluate more positively a service failure involving a self-service technology framed as a robot rather than one framed as an automatic machine. They provide evidence that this effect is driven by higher perceptions of agency and that the association between technology and agency held by consumers is an unconscious one.
Originality/value
This paper investigates a novel driver of consumers’ perception of agency of technology, namely, how the technology is framed. Moreover, this study sheds light on consumers’ responses to technology’s service failure.
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Nan Chen, Jianfeng Cai, Devika Kannan and Kannan Govindan
The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the…
Abstract
Purpose
The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the E-commerce online channel (resell mode and agency mode) and the traditional offline channel with information sharing under demand uncertainty.
Design/methodology/approach
This study builds a multistage game model that considers the manufacturer selling green products through different channels. On the traditional offline channel, the competing retailers decide whether to share demand signals. Regarding the resale mode of E-commerce online channel, just E-tailer 1 determines whether to share information and decides the retail price. In the agency mode, the manufacturer decides the retail price directly, and E-tailer 2 sets the platform rate.
Findings
This study reveals that information accuracy is conducive to information value and profits on both channels. Interestingly, the platform fee rate in agency mode will inhibit the effect of a positive demand signal. Information sharing will cause double marginal effects, and price competition behavior will mitigate such effects. Additionally, when the platform fee rate is low, the manufacturer will select the E-commerce online channel for operation, but the retailers' profit is the highest in the traditional channel.
Originality/value
This research explores the interplay between different channel structures and information sharing in a GSC, considering price competition and demand uncertainty. Besides, we also considered what behaviors and factors will amplify or transfer the effect of double marginalization.
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Xingxin Li, Yanfei Wang, Yu Zhu and Lixun Zheng
Drawing on affective events theory (AET), this study aims to investigate how and when leader voice solicitation affects employees’ innovative behavior. Specifically, this study…
Abstract
Purpose
Drawing on affective events theory (AET), this study aims to investigate how and when leader voice solicitation affects employees’ innovative behavior. Specifically, this study proposes that leader voice solicitation evokes employees’ feelings of pride, which subsequently motivate employees’ innovative behavior. Moreover, collectivism orientation plays a moderating role in this process.
Design/methodology/approach
This study collected 251 supervisor–subordinate dyadic data in two phases and employed structural equational modeling (SEM) to test the hypotheses.
Findings
The results revealed that employees’ feelings of pride mediate the positive relationship between leader voice solicitation and employees’ innovative behavior. Collectivism orientation intensifies the mediated relationship.
Originality/value
This study extends the potential outcome variables of leader voice solicitation. Moreover, it introduces a novel theoretical perspective to explore the impact of leader voice solicitation on employees. Importantly, this study examines the mediating effect of pride and the moderating effect of collectivism orientation, deepening the understanding of how and when leader voice solicitation affects innovative behavior.
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