Fei Qi, Dongming Bai, Xiaoming Dou, Heng Zhang, Haishan Pei and Jing Zhu
This paper aims to present a kinematics analysis method and statics based control of the continuum robot with mortise and tenon joints to achieve better control performance of the…
Abstract
Purpose
This paper aims to present a kinematics analysis method and statics based control of the continuum robot with mortise and tenon joints to achieve better control performance of the robot.
Design/methodology/approach
The kinematics model is derived by the geometric analysis method under the piecewise constant curvature assumption, and the workspace and dexterity of the proposed robot are analyzed to optimize its structure parameters. Moreover, the statics model is established by the principle of virtual work, which is used to analyze the mapping relationship between the bending deformation and the applied forces/torques. To improve the control accuracy of the robot, a model-based controller is put forward.
Findings
Results of the experiments verify the feasibility of the proposed continuum structure and the correctness of the established model and the control method. The force deviation between the theoretical value and the actual value is relatively small, and the mean value of the deviation between the driving forces is only 0.46 N, which verify the established statics model and the controller.
Originality/value
The proposed model and motion controller can realize its accurate bending control with a few deviations, which can be used as the reference for the motion planning and dynamic model of the continuum robot.
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Dongming Ma, Anping Cheng and Hao Qian
The purpose of the study is to examine the impact of augmented reality (AR) on users' tour experience and psychological well-being in museums. The study utilizes the Information…
Abstract
Purpose
The purpose of the study is to examine the impact of augmented reality (AR) on users' tour experience and psychological well-being in museums. The study utilizes the Information System (IS) Success Model and the Perceived Value Theory to investigate the relationships between AR quality, content quality, system quality, vividness, utilitarian value, hedonic value, tour experience, and psychological well-being.
Design/methodology/approach
The study adopts a quantitative research approach and surveys 286 visitors at the Wuhan Natural History Museum. The collected data is analyzed using PLS-SEM to test the proposed model.
Findings
The study finds that content quality, system quality, and vividness significantly influence utilitarian and hedonic value. Utilitarian and hedonic values mediate the relationship between AR quality and tour experience and psychological well-being, with hedonic value having a greater impact. Utilitarian value positively influences customers' hedonic value, while tour experience positively influences customers' psychological well-being.
Originality/value
This study contributes to the existing literature by applying the Information System Success Model and Perceived Value Theory to explore the impact of AR on users' tour experience and psychological well-being in museums. It provides empirical evidence supporting the importance of content quality and perceived value in promoting AR adoption and use. The findings add value to the field of augmented reality research and offer practical implications for AR service providers.
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Yong-Hua Li, Ziqiang Sheng, Pengpeng Zhi and Dongming Li
How to get a lighter and stronger anti-rolling torsion bar has become a barrier for the development of high-speed railway vehicles. The purpose of this paper is to realize the…
Abstract
Purpose
How to get a lighter and stronger anti-rolling torsion bar has become a barrier for the development of high-speed railway vehicles. The purpose of this paper is to realize the multi-objective optimization of an anti-rolling torsion bar with a Modified Non-dominated Sorting Genetic Algorithm III (MNSGA-III), which aims to obtain a better design scheme of an anti-rolling torsion bar device.
Design/methodology/approach
First, the Non-dominated Sorting Genetic Algorithm III (NSGA-III) uses a simulated binary crossover (SBX) operator and a polynomial mutation operator, while the MNSGA-III algorithm proposed in this paper introduces an arithmetic crossover and an adaptive mutation operator to change the crossover and mutate operator in NSGA-III. Second, two algorithms are tested by ZDT3, ZDT4 functions. Both algorithms set the same population size and evolutionary generation, and then compare the results of NSGA-III and MNSGA-III. Finally, MNSGA-III is applied to the multi-objective model of an anti-rolling torsion bar which is established by taking the mass and stiffness of the torsion bar as the optimization object. After that, it obtains the Pareto solution set by solving the multi-objective model with MNSGA-III. The only optimal solution selected from the Pareto solution set is compared with the traditional design scheme of an anti-rolling torsion bar.
Findings
The MNSGA-III converges faster than NSGA-III. Besides, MNSGA-III has better diversity of Pareto solutions than NSGA-III and is closer to the ideal Pareto frontier. Comparing with the results before the optimization, it shows that the volume of the anti-rolling torsion bar reduces by 1.6 percent and the stiffness increases by 3.3 percent. The optimized data verifies the effectiveness of this method proposed in this paper.
Originality/value
The simulated binary crossover operator and polynomial mutation operator of NSGA-III are changed into an arithmetic crossover operator and an adaptive mutation operator, respectively, which improves the optimization performance of the algorithm.
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Junsong Jia, Zhihai Gong, Chundi Chen, Huiyong Jian and Dongming Xie
This paper aims to provide a typical example of accounting for the carbon dioxide equivalent (CO2e) in underdeveloped cities, especially for the Poyang Lake area in China. The…
Abstract
Purpose
This paper aims to provide a typical example of accounting for the carbon dioxide equivalent (CO2e) in underdeveloped cities, especially for the Poyang Lake area in China. The accounting can increase public understanding and trust in climate mitigation strategies by showing more detailed data.
Design/methodology/approach
The paper uses the “Global Protocol for Community-scale greenhouse gas emission inventories (GPC)” method, a worldwide comparable framework for calculating urban CO2e emission (CE). The empirical case is an underdeveloped city, Nanchang, in China.
Findings
The results show the total CE of Nanchang, containing the electricity CE of Scope 2, grew rapidly from 12.49 Mt in 1994 to 55.00 Mt in 2014, with the only recession caused by the global financial crisis in 2008. The biggest three contributors were industrial energy consumption, transportation and industrial processes, which contributed 44.71-72.06, 4.10-25.07 and 9.07-22.28 per cent, respectively, to the total CE. Almost always, more than 74.41 per cent of Nanchang’s CE was related to coal. When considering only the CEs from coal, oil and gas, these CEs per unit area of Nanchang were always greater than those of China and the world. Similarly, these CEs per gross domestic product of Nanchang were always bigger than those of the world. Thus, based on these conclusions, some specific countermeasures were recommended.
Originality/value
This paper argues that the CO2e accounting of underdeveloped cities by using the GPC framework should be promoted when designing climate mitigation policies. They can provide more scientific data to justify related countermeasures.
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Dóra Őri, Ildikó Szabó, Andrea Kő and Tibor Kovács
Several studies have shown that economic shock and crisis trigger companies to move forward innovatively. This paper aims to compliment this research topic by investigating how…
Abstract
Purpose
Several studies have shown that economic shock and crisis trigger companies to move forward innovatively. This paper aims to compliment this research topic by investigating how SMEs activate their organization resilience to adapt to changes generated by a crisis, with specific focus on how digitalization is used as an opportunity on this road. COVID-19 pandemic provided the context to investigate this situation.
Design/methodology/approach
The research approach combines literature review, quantitative data survey and data analysis and modeling using PLS-SEM. The quantitative data survey provided the database for building the structural equation model, exploring the structural relationships between the constructs and testing the hypotheses. Expert discussions contributed to the validation and interpretation of the results.
Findings
The model reveals that while organizational resilience has no direct effect on digitalization, combined with available resources, it realizes its indirect impact. Resilient companies require less external financial support to achieve their digitalization goals. The results also confirm that an uncertain environment encourages SMEs to go digital.
Originality/value
Several research studies highlighted the importance of SMEs in recovery from crises. Knowing more about how they can be supported and what capabilities they should develop is essential. This research explores the relationship between organizational resilience, resource availability and digitalization for SMEs in crises like the COVID-19 pandemic, revealing the self-reinforcing effect of organizational resilience and the level of digitalization that was not previously studied.
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Katherine Kaneda Moraes, Gilberto Miller Devós Ganga, Moacir Godinho Filho, Luis Antonio Santa-Eulalia and Guilherme Luz Tortorella
The integration of blockchain technology (BT) in supply chain management (SCM) is at the forefront of technological advancements, yet it faces significant barriers that hinder its…
Abstract
Purpose
The integration of blockchain technology (BT) in supply chain management (SCM) is at the forefront of technological advancements, yet it faces significant barriers that hinder its widespread adoption. This study aims to delve into these challenges, employing the diffusion of innovations (DOI) theory to systematically investigate and propose a strategic framework for overcoming the technological barriers to BT adoption within SCM.
Design/methodology/approach
Through a comprehensive systematic literature review (SLR) of 155 publications, complemented by rigorous content analysis and expert interviews, this research identifies and categorizes 16 primary technological barriers, including scalability and privacy issues, that impede BT integration.
Findings
The proposed framework, informed by DOI theory, outlines tailored strategies across three critical adoption stages: initiation, where the focus is on mitigating high energy consumption and scalability issues; adoption decision, emphasizing the formulating international standards for blockchain architecture, embedding abstraction layers within software projects; and implementation, concentrating on enhancing security, interoperability and system efficiency.
Originality/value
This research contributes significantly to both academic literature and practical applications. Academically, it extends the DOI theory within the SCM context and enriches the blockchain literature by providing a nuanced understanding of the specific barriers to BT adoption. Practically, it offers a roadmap for industry practitioners, delineating actionable strategies to navigate the adoption process effectively. This study not only bridges the gap between theoretical insights and practical implementations but also serves as a vital resource for policymakers and standard-setting bodies in facilitating and regulating BT adoption in SCM, thereby fostering innovation and competitive advantage in the marketplace.
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Muhammad Bilal, Zhao Xicang, Wu Jiying, Jan Muhammad Sohu and Sadaf Akhta
In the era of digitalization, digital technology has transformed businesses and created enormous opportunities for organizations worldwide. Unsurprisingly, research on digital…
Abstract
Purpose
In the era of digitalization, digital technology has transformed businesses and created enormous opportunities for organizations worldwide. Unsurprisingly, research on digital transformation has garnered significant interest among academics in recent decades. However, this study aims to recognize the key and holistic antecedents influencing digital transformation in manufacturing firms. This study also investigates the indirect relationships of antecedents with firm performance.
Design/methodology/approach
The hypothesis was investigated using the partial least squares structural equation modeling (PLS-SEM) approach. The data was collected from 279 employees through a self-administered survey of manufacturing firms.
Findings
The results described a significant and positive impact of competitive pressure, leadership role, organization culture, organization mindfulness, government regulation, and IT readiness on digital transformation and firm performance. Furthermore, digital transformation partially mediates the relationship between antecedents and firm performance.
Originality/value
The study finds a holistic perspective of the critical antecedents of digital transformation using the mediation role of digital transformation and moderating effects of firm agility. Additionally, all antecedents have a significant association with Firm Performance.
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Benny Lianto, Muhammad Dachyar and Tresna Priyana Soemardi
The purpose of this paper is to identify and screen continuous innovation capability enablers (CICEs) in Indonesia’s manufacturing sectors, develop a relationship among these…
Abstract
Purpose
The purpose of this paper is to identify and screen continuous innovation capability enablers (CICEs) in Indonesia’s manufacturing sectors, develop a relationship among these enablers and determine their driving power and dependence power in the sector.
Design/methodology/approach
The initial CICEs identification process is based on a literature review, while a fuzzy Delphi method (FDM) was used for the screening process of CICEs. Total interpretive structural modelling (TISM) was used to develop contextual relationships among various CICEs. The results of the TISM are used as an input for the matrix of cross-impact multiplications applied to classification (MICMAC) to classify the driving power and dependence powers of the CICEs.
Findings
This paper selected 16 CICEs classified in seven dimensions. TISM results and MICMAC analysis show that leadership, as well as climate and culture, are enablers with the highest driving power and lowest dependence powers; followed by information technology. The results of this study indicate that efforts to continuously develop innovation capabilities in the Indonesian manufacturing industries are strongly influenced by their leadership capability, climate and culture, also information technology-related capability.
Practical implications
The framework assessed in this study provides business managers and policymakers to obtain a bigger picture in developing policies with evidence-based strategy and priority in regard to continuous innovation capability.
Originality/value
The results will be useful for business managers and policymakers to understand the relationship between CICEs and identify key CICEs in Indonesia’s manufacturing sectors, which were previously non-existent.