Examines the fifteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects…
Abstract
Examines the fifteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.
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Shuo Su, Xiong-Tao Zhu and Hong-Qiang Fan
This paper aims to study the effect of ultraviolet (UV) light on the corrosion behavior of BC550 weathering steel in simulated marine atmospheric environment.
Abstract
Purpose
This paper aims to study the effect of ultraviolet (UV) light on the corrosion behavior of BC550 weathering steel in simulated marine atmospheric environment.
Design/methodology/approach
The effect of UV light on the corrosion behavior of BC550 weathering steel in simulated marine atmospheric environments were investigated by the corrosion weight gain experiment, in situ electrochemical noise, scanning electron microscope and X-ray diffraction.
Findings
UV light accelerated the corrosion process of BC550 weathering steel in the simulated marine atmospheric environment during the first 168 h. The maximum influence factor of UV light was 0.32, and it was only 0.08 after 168 h of corrosion process.
Originality/value
As the extension of corrosion time, the thickness and density of the corrosion product layer increased, which weakened the acceleration effect of UV light.
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Shehnaz Tehseen, Syed Monirul Hossain, Kim Yoke Ong and Elizabeth Andrews
This chapter explores the present state of the worldwide tourism sector and its complex phenomenological interconnection with climate change. This analysis emphasizes the…
Abstract
This chapter explores the present state of the worldwide tourism sector and its complex phenomenological interconnection with climate change. This analysis emphasizes the significant environmental consequences resulting from the rise of tourism, which can be attributed to the exponential growth facilitated by enhanced connectivity and the concurrent increase in disposable incomes. It thoroughly analyses the primary factors that contribute to the environmental impact of the sector, which encompasses emissions from transportation, infrastructure development, waste generation, and resource usage. Furthermore, this analysis sheds light on the obstacles encountered in the process of shifting toward sustainability, including limited knowledge and understanding, deficiencies in policy implementation, and reluctance to embrace transformation within the sector. However, it also provides insights into numerous activities and solutions currently in progress to alleviate the environmental impact of the industry. The aforementioned approaches encompass the implementation of sustainable tourism practices, legislation revisions, and advancements in technology. This chapter concludes by highlighting the imperative need for a collaborative initiative including governmental bodies, industrial participants, and tourists to establish a harmonious equilibrium between the pursuit of economic expansion and the protection of the environment. The future trajectory of global tourism is contingent upon the adoption of sustainable practices, which are crucial for fostering a healthy coexistence between the tourism industry and the environment.
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Serhat Yüksel, Hasan Dinçer, Çağatay Çağlayan and Gülsüm Sena Uluer
Carbon emission is one of the most important problems of today. In this framework, it is important for countries to take the necessary actions to solve this problem. Energy use is…
Abstract
Carbon emission is one of the most important problems of today. In this framework, it is important for countries to take the necessary actions to solve this problem. Energy use is one of the most important causes of carbon emissions. Choosing fossil fuels in this process increases the carbon emission problem. Therefore, it is understood that countries should be more sensitive about energy types. In this context, renewable energy (RE) sources are recommended by experts. However, due to some problems of these energy types, it does not seem possible to meet all energy needs from these sources. It is thought that nuclear energy will produce a permanent solution to the carbon emission problem. In this context, it is recommended that the use of nuclear energy be put on the agenda by countries.
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Philip Andrews-Speed, Xiangyang Xu, Dingfei Jie, Siyuan Chen and Mohammad Usman Zia
This paper aims to identify the factors that are constraining technological innovation to support the development of coalbed methane in China.
Abstract
Purpose
This paper aims to identify the factors that are constraining technological innovation to support the development of coalbed methane in China.
Design/methodology/approach
The analysis applies ideas relating to national and sector systems of innovation to explain why China’s strategies to support research and technological innovation have failed to stimulate the desired progress in coalbed methane production. It also provides a counter-example of the USA that implemented a number of measures in the 1970s that proved very effective.
Findings
The deficiencies of China’s research and development strategies in support of coalbed methane development reflect the national and sectoral systems of innovation. They are exacerbated by the structure of the national oil and gas industry. Key constraints include the excessively top-down management of the national R&D agenda, insufficient support for basic research, limited collaboration networks between companies, research institutes and universities and weak mechanisms for diffusion of knowledge. The success of the USA was based on entirely different systems for innovation and in quite a different industrial setting.
Originality/value
The originality of this analysis lies in placing the challenges facing research and innovation for China’s coalbed methane development in the context of the national and sectoral systems for innovation and comparing with the approach and success of the USA.
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Bin Wang, Huifeng Li, Le Tong, Qian Zhang, Sulei Zhu and Tao Yang
This paper aims to address the following issues: (1) most existing methods are based on recurrent network, which is time-consuming to train long sequences due to not allowing for…
Abstract
Purpose
This paper aims to address the following issues: (1) most existing methods are based on recurrent network, which is time-consuming to train long sequences due to not allowing for full parallelism; (2) personalized preference generally are not considered reasonably; (3) existing methods rarely systematically studied how to efficiently utilize various auxiliary information (e.g. user ID and time stamp) in trajectory data and the spatiotemporal relations among nonconsecutive locations.
Design/methodology/approach
The authors propose a novel self-attention network–based model named SanMove to predict the next location via capturing the long- and short-term mobility patterns of users. Specifically, SanMove uses a self-attention module to capture each user's long-term preference, which can represent her personalized location preference. Meanwhile, the authors use a spatial-temporal guided noninvasive self-attention (STNOVA) module to exploit auxiliary information in the trajectory data to learn the user's short-term preference.
Findings
The authors evaluate SanMove on two real-world datasets. The experimental results demonstrate that SanMove is not only faster than the state-of-the-art recurrent neural network (RNN) based predict model but also outperforms the baselines for next location prediction.
Originality/value
The authors propose a self-attention-based sequential model named SanMove to predict the user's trajectory, which comprised long-term and short-term preference learning modules. SanMove allows full parallel processing of trajectories to improve processing efficiency. They propose an STNOVA module to capture the sequential transitions of current trajectories. Moreover, the self-attention module is used to process historical trajectory sequences in order to capture the personalized location preference of each user. The authors conduct extensive experiments on two check-in datasets. The experimental results demonstrate that the model has a fast training speed and excellent performance compared with the existing RNN-based methods for next location prediction.
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Mengfei Zhu and Yitao Tao
This study investigates the impact of economic policy uncertainty on corporation innovation in innovative cities. The study sheds light on different results from the previous…
Abstract
Purpose
This study investigates the impact of economic policy uncertainty on corporation innovation in innovative cities. The study sheds light on different results from the previous literature by testing the moderator effects of entrepreneurial risk appetite on such impact.
Design/methodology/approach
A static panel estimator is applied to a Chinese sample of 416 firm-year observations from 2010 to 2019. This paper uses regression model to test the impact of uncertainty on enterprise innovation in innovative cities, and to test the regulatory role of entrepreneurial risk appetite. For a series of robustness analysis conducted by the author to deal with endogeneity, the results are robust.
Findings
The author finds reliable evidence that the economic policy uncertainty can promote corporations to invest more in R&D in innovative cities. In addition, the role of the entrepreneurial initiative is significant, and there is a positive moderating effect of entrepreneurial risk appetite between policy uncertainty and corporation innovation.
Research limitations/implications
From a practical point of view, this study examines the impact of economic policy uncertainty on corporation innovation in innovative cities for the first time. It emphasizes the role of entrepreneurial risk-taking in the development of corporation innovation in Shenzhen, an innovative city. This research is of great significance to the formulation of government policies and the innovative choice of entrepreneurs. In addition, the research shows that the entrepreneurial risk appetite in innovative cities can have a positive impact on enterprise innovation. Therefore, when formulating policies, the government should take the subjective factors of entrepreneurs into account and support enterprises with innovation potential. The evidence of this study also helps entrepreneurs make innovative decisions and enhance their confidence in enterprise development.
Originality/value
By studying the impact of economic policy uncertainty on enterprise innovation under the regulation of enterprise risk appetite, this study shows the subjective and positive role of entrepreneurs in risk grasp in innovative cities for the first time. In addition, it fills the gap of the impact of policy uncertainty on innovative urban enterprises. In fact, although it is traditionally believed that economic policy uncertainty has a negative impact on enterprise innovation, the sensitive findings of this study reveal completely different results from previous studies.
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Dien Van Tran, Phuong Van Nguyen, Sam Thi Ngoc Nguyen, Thang Nam Huynh and Khanh Van Ma
Open social innovation has become a critical practice for firms competing in volatile markets. Simultaneously, the rise of digital technologies has opened opportunities across…
Abstract
Purpose
Open social innovation has become a critical practice for firms competing in volatile markets. Simultaneously, the rise of digital technologies has opened opportunities across sectors, making digital transformation a key driver of corporate change. This study examines the impact of internal and external factors, such as social capital, absorptive capacity and government support, in facilitating open social innovation and digital transformation activities, which may ultimately enhance business performance.
Design/methodology/approach
Data were collected through a questionnaire survey distributed to management members across various enterprises in a wide range of industries in Vietnam. A total of 289 valid responses were obtained, and the research hypotheses were tested using partial least squares structural equation modeling.
Findings
First, open social innovation positively influences digital transformation, with absorptive capacity mediating this relationship. Second, social capital directly affects open social innovation and indirectly impacts digital transformation through open social innovation. Third, digital transformation directly enhances business performance, while absorptive capacity indirectly influences business performance through digital transformation. Finally, government support directly impacts business performance and indirectly influences digital transformation via open social innovation.
Originality/value
By integrating social capital theory and the resource-based view, this research significantly advances the understanding of the complex relationships among government support, social capital, open social innovation, digital transformation, absorptive capacity and business performance.
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Song Lin, Edward G. Rogoff, Check-Teck Foo and Xiaoyuan Liu
This empirical study aims to test the impact of four types of entrepreneurial context on the growth and success rates of new ventures in China and related the findings to the…
Abstract
Purpose
This empirical study aims to test the impact of four types of entrepreneurial context on the growth and success rates of new ventures in China and related the findings to the theory and practice of entrepreneurship dating back 2,500 years to ancient China.
Design/methodology/approach
After describing the business guidelines given by Fan Li, an entrepreneurial merchant selling Chinese medicines in ancient times, a conceptual framework was extracted as the basis for a discussion of the relationship between entrepreneurial context and entrepreneurial activity. Entrepreneurial context was conceptualized as being composed of family, social, business and institutional components. Five hypotheses about the influence of these different context variables on entrepreneurial activities were developed. From data compiled from the sampling of 239 business entrepreneurs in Beijing, a hierarchical regression was formed and the hypotheses tested.
Findings
The impact of entrepreneurial context on entrepreneurial activity can be divided into two layers, internal factors (e.g. family context) which are similar to “yin” (?) in the traditional Chinese philosophy while external factors (e.g. business, social and institutional contexts) were like “yang” (?). The two factors play different roles in entrepreneurial activities, while different contexts mediate and moderate each other in complex ways.
Research limitations/implications
Research limitations pertain to the size and locale of the sample. A larger sample that involved subjects from different regions would facilitate a wider understanding of the effects of entrepreneurial context upon the entrepreneurial process.
Originality/value
The theory of entrepreneurial context is in its beginning stages, and the paper completed a systematic study of entrepreneurial context through theoretical model building using large-sample empirical research. In addition, the paper is the first ever to relate the theory and practice of entrepreneurship back 2,500 years. Through a multi-research methodology, the study clearly shows the critical importance of integrating Chinese history into the development of management theory.
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Muhammad Dan-Asabe Abdulrahman and Nachiappan Subramanian
The study aims to develop and test a supply chain wide green product development framework of focal firms and their major suppliers, in the context of the Chinese automotive…
Abstract
Purpose
The study aims to develop and test a supply chain wide green product development framework of focal firms and their major suppliers, in the context of the Chinese automotive industry.
Design/methodology/approach
An in-depth case studies approach is adopted for this study. Three automotive sector upstream supply chains involving 17 firms and 51 experts as respondents were interviewed on the importance and implementation effectiveness of 6Rs (reduce, redesign, recover, remanufacture, reuse and recycle) across the manufacturer and their respective tier 1 and tier 2 suppliers.
Findings
The results indicate that the Chinese automotive sector supply chains are mainly focused on “reduce” practices with immediate environmental and economic benefits. The investigated firms however had future implementation plans for “redesign” and “recovery” practices to become comprehensive in green product development (GPD).
Research limitations/implications
The study facilitates automotive firms, industry policymakers and researchers the understanding of incorporating comprehensive GSCM practices across the upstream supply chain to achieve circularity. The study focused on upstream supply chain due to the concentration of major production practices in this section of the supply chain. However, the downstream supply chain equally deserve attention as well as the need to understand the mediating and moderating roles of the different Rs to tease out the pros and cons of achieving overall environmental sustainability.
Originality/value
There are very limited studies on comprehensive GPD for achieving optimal GSCM and sustainability. By simultaneous looking at a focal firm and its upstream supply chains GSCM practices, this study addresses a system-wide comprehensive GPD issues from implementation of 6Rs perspectives in the supply chain.