Dawei Zhang, Haiyang Li, Hongchang Qian, Luntao Wang and Xiaogang Li
This study aims to construct a double layer heat insulation coating based on hollow glass microspheres (HGMs) and to investigate the effect of particle size on barrier property…
Abstract
Purpose
This study aims to construct a double layer heat insulation coating based on hollow glass microspheres (HGMs) and to investigate the effect of particle size on barrier property and heat insulation performance.
Design/methodology/approach
The waterborne double layer coating was composed of an anticorrosive epoxy ester primer and an HGM-containing silicone acrylic topcoat. With varied HGM sizes (20 μm, 40 μm, 60 μm and a 1:3 w/w mixture of 20 and 60 μm particles), the coating was immersed in 3.5 wt% NaCl solution for 28 days and was then subjected to a salt spray test for 450 h. The barrier properties of the coating were evaluated through electrochemical impedance spectroscopy. Heat insulation performance was examined using a self-made device.
Findings
The addition of HGMs decreased the barrier properties of the coating by creating particle/resin interfaces for water penetration. In the HGMs-containing coatings, the use of larger HGMs showed relatively good barrier properties because of the lower particle density. The coating with smaller particles yielded a higher heat insulating capacity as indicated by lower equilibrium temperatures.
Research limitations/implications
Future work will be focused on improving the barrier properties of the coating. Field exposure tests should also be performed to assess the long-term performance of the coating.
Practical implications
The mechanical properties of the coatings in this study also implied that HGMs can be used to develop scratch-resistant and impact-resistant coatings. Other potential applications for further studies include the uses of HGMs for coatings with improved fire retardancy and electromagnetic interference shielding.
Originality/value
A double layer coating was developed to provide balanced performance on both anticorrosion and heat insulation. The effects of HGM size were particularly highlighted.
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Dong Liu, Huiqing Liu, Li Li, Meng Yu, Jun Gong, Wen Li and Yunxia Wang
The purpose of this paper is to assess the serious corrosion problems of the water injection system on the offshore oil field and to study the type, and effect factors and…
Abstract
Purpose
The purpose of this paper is to assess the serious corrosion problems of the water injection system on the offshore oil field and to study the type, and effect factors and mechanisms of corrosion on the offshore oil field in order to develop an effective corrosion inhibitor for the sea water injection system.
Design/methodology/approach
The corrosion of metal in a water injection system was studied by weight‐loss and electrochemical methods.The effect factors and mechanisms of corrosion on the offshore oil field were proposed from the trend of corrosion.
Findings
FeCO3 is the main corrosion product in the water injection system of the Chengdao Offshore Oil Field. The corrosion rate of coupons in sea water injection systems reaches a maximum peak at a temperature of 50‐60°C. The corrosion rate of coupons exposed in all three water samples increased with an increase in the dissolved oxygen concentration. When the mixed ratio of sea water and produced water and well water is 1:3:1 or 1:2:2, the corrosion rate of carbon steel is lower than is the case in pure water. The electrochemical mechanism of corrosion indicates that corrosion in the well water, produced water, and sea water samples were all controlled by the oxygen absorption process, which controlled the cathodic reaction. The corrosion rate of coupons followed the ranking order: well water; produced water; sea water.
Originality/value
This paper provides the main corrosion product in the water injection system of the Chengdao Offshore Oil Field, and provides new information on the effect factors and mechanisms of corrosion on the offshore oil field.
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Mike Chen-ho Chao, Fuan Li and Haiyang Chen
Motivated by the heated discussion with regard to the Chinese milk powder incident, this paper aims to explore the determinants of Chinese managers’ moral judgment. Are Chinese…
Abstract
Purpose
Motivated by the heated discussion with regard to the Chinese milk powder incident, this paper aims to explore the determinants of Chinese managers’ moral judgment. Are Chinese professional managers’ moral judgments on an ethical dilemma influenced by their commitment to the norms and values recognized by a prestigious professional association outside of China? Do Chinese managers’ moral development and level of relativism impact their ethical decisions?
Design/methodology/approach
A structured survey was conducted, generating 544 valid responses from Chinese managers.
Findings
The results showed that moral maturity and relativism, independently and together, were significantly related to Chinese managers’ moral judgment on a hypothetical business dilemma, though no significant effect was found for their commitment to ethics codes.
Originality/value
The findings confirm the important role of moral development and relativism in Chinese mangers’ moral judgment and suggest the need for further research on the impact of professional ethics codes.
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Vishal K. Gupta, Sajna Ibrahim, Grace Guo and Erik Markin
Entrepreneurship-related research in management and organizational journals has experienced rapid growth, particularly in the last several years. The purpose of this study is to…
Abstract
Entrepreneurship-related research in management and organizational journals has experienced rapid growth, particularly in the last several years. The purpose of this study is to identify the researchers and universities that have had the greatest influence on entrepreneurship research since the turn of the century. Using a systematic and comprehensive study identification protocol, the authors delve into the individual and institutional actors contributing to scholarship in entrepreneurial studies for the period from 2000 to 2015. Examination of top-tier management and organizational journals revealed that a total of 371 entrepreneurship-related articles were published during this period by 618 authors from 303 different institutions. Rankings for the most prolific individuals as well as institutions, adjusted and unadjusted for journal quality, are presented. The article concludes with a discussion of the limitations and implications of the research undertaken here.
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Jamie D. Collins, Dan Li and Purva Kansal
This study focuses on home country institutions as sources of variation in the level of foreign investment into India. Our findings support the idea that institutional voids found…
Abstract
This study focuses on home country institutions as sources of variation in the level of foreign investment into India. Our findings support the idea that institutional voids found in India are less of a deterrent to investments from home countries with high levels of institutional development than from home countries with similar institutional voids. Overall, foreign investments in India are found to be significantly related to the strength of institutions within home countries. The levels of both approved and realized foreign direct investment (FDI) are strongly influenced by economic factors and home country regulative institutions, and weakly influenced by home country cognitive institutions. When considered separately, the cognitive institutions and regulative institutions within a given home country each significantly influence the level of approved/realized FDI into India. However, when considered jointly, only the strength of regulative institutions is predictive of FDI inflows.
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Middle managers’ intrapreneurial actions can be a powerful source of organizational adaptation and strategic renewal. Better understanding what drives such intrapreneurial actions…
Abstract
Middle managers’ intrapreneurial actions can be a powerful source of organizational adaptation and strategic renewal. Better understanding what drives such intrapreneurial actions is important, yet requires data, which allows testing directional claims. For example, whereas autonomy and supportive leadership might be antecedents to such intrapreneurial behavior, it equally seems possible that firms delegate more autonomy to individuals behaving entrepreneurially (rather than being “lazy”) or that senior managers are more inclined to show support for individuals engaging in entrepreneurial action. Lagged or longitudinal survey evidence to test whether autonomy and leadership support are antecedents of intrapreneurship or consequences, is – like for many other questions in research on strategic responsiveness – hard and expensive to collect. Vignette experiments (also called factorial surveys or conjoint studies) may be a way out – especially when combined with cross-sectional evidence. The present chapter illustrates this approach by studying the relations among autonomy, supportive leadership, and intrapreneurship by means of a vignette experiment and a cross-sectional field survey. The findings suggest that autonomy and supportive leadership are indeed antecedents to intrapreneurial behavior and illustrate the value of vignette experiments for research on strategic responsiveness.
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Li Cui, Haiyang Jiang, Hepu Deng and Tao Zhang
The purpose of this paper is to investigate how the diffusion of food safety information through social media affects customers’ purchase intentions in China. This leads to the…
Abstract
Purpose
The purpose of this paper is to investigate how the diffusion of food safety information through social media affects customers’ purchase intentions in China. This leads to the identification of the critical factors that impact the purchase intention of individual consumer through the diffusion of food safety information using social media in China.
Design/methodology/approach
A research model is proposed based on a comprehensive review of the related studies. Such a model is then tested and validated using structural equation modeling based on the survey of 199 individuals who have experience in purchasing food products online while having social media accounts.
Findings
The study reveals that friend recommendation and perceived risk directly affect consumers’ purchase intentions and opinion leader recommendation, quality of information, credibility of information and demand for information indirectly affect consumers’ purchase intentions through the diffusion of food safety information using social media in China.
Originality/value
This study is the first of this kind in China for exploring the critical factors that affect consumers’ purchase intentions through the diffusion of food safety information using social media. The findings of the study are significant for the government and food enterprises to make a full use of the advantages of social media to improve the communication of food safety information in ensuring the safety of the food supply in China.
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Min Zhao, Fuan Li, Francis Cai, Haiyang Chen and Zheng Li
This study aims to examine the ability of Generative Pre-trained Transformer 4 (GPT-4), one of the most powerful large language models, to generate a literature review for…
Abstract
Purpose
This study aims to examine the ability of Generative Pre-trained Transformer 4 (GPT-4), one of the most powerful large language models, to generate a literature review for peer-reviewed journal publications. The objective is to determine whether business scholars can rely on GPT-4’s assistance with literature reviews and how the nature of human–artificial intelligence (AI) interaction may affect the quality of the reviews generated by GPT-4.
Design/methodology/approach
A survey of 30 experienced researchers was conducted to assess the quality of the literature reviews generated by GPT-4 in comparison with a human-authored literature review published in a Social Science Citation Index (SSCI) journal. The data collected were then analyzed with analysis of variance to ascertain whether we may trust GPT-4’s assistance in writing literature reviews.
Findings
The statistical analysis reveals that when a highly structured approach being used, GPT-4 can generate a high-quality review comparable to that found in an SSCI journal publication. However, when a less structured approach is used, the generated review lacks comprehensive understating and critical analysis, and is unable to identify literature gaps for future research, although it performed well in adequate synthesis and quality writing. The findings suggest that we may trust GPT-4 to generate literature reviews that align with the publication standards of a peer-reviewed journal when using a structured approach to human–AI interaction.
Research limitations/implications
The findings suggest that we may trust GPT-4 to generate literature reviews that align with the publication standards of a peer-reviewed journal when using a structured approach to human–AI interaction. Nonetheless, cautions should be taken due to the limitations of this study discussed in the text.
Originality/value
By breaking down the specific tasks of a literature review and using a quantitative rather than qualitative assessment method, this study provides robust and more objective findings about the ability of GPT-4 to assist us with a very important research task. The findings of this study should enhance our understanding of how GPT-4 may change our research endeavor and how we may take a full advantage of the advancement in AI technology in the future research.
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Yahao Wang, Yanghong Li, Zhen Li, HaiYang He, Sheng Chen and Erbao Dong
Aiming at the problem of insufficient adaptability of robot motion planners under the diversity of end-effector constraints, this paper proposes Transformation Cross-sampling…
Abstract
Purpose
Aiming at the problem of insufficient adaptability of robot motion planners under the diversity of end-effector constraints, this paper proposes Transformation Cross-sampling Framework (TC-Framework) that enables the planner to adapt to different end-effector constraints.
Design/methodology/approach
This work presents a standard constraint methodology for representing end-effector constraints as a collection of constraint primitives. The constraint primitives are merged sequentially into the planner, and a unified constraint input interface and constraint module are added to the standard sampling-based planner framework. This approach enables the realization of a generic planner framework that avoids the need to build separate planners for different end-effector constraints.
Findings
Simulation tests have demonstrated that the planner based on TC-framework can adapt to various end-effector constraints. Physical experiments have also confirmed that the framework can be used in real robotic systems to perform autonomous operational tasks. The framework’s strong compatibility with constraints allows for generalization to other tasks without modifying the scheduler, significantly reducing the difficulty of robot deployment in task-diverse scenarios.
Originality/value
This paper proposes a unified constraint method based on constraint primitives to enhance the sampling-based planner. The planner can now adapt to different end effector constraints by opening up the input interface for constraints. A series of simulation tests were conducted to evaluate the TC-Framework-based planner, which demonstrated its ability to adapt to various end-effector constraints. Tests on a physical experimental system show that the framework allows the robot to perform various operational tasks without requiring modifications to the planner. This enhances the value of robots for applications in fields with diverse tasks.
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Jia Wang, Haiyang Sun, Ding Chen, Yongjun Huang, Tao Dong, Hai Li, Lingnan Shen and Ziyu Yang
The paper aims to accurately measure the key motion parameters, such as velocity, azimuth and pitch angle, of the small flying object with a non-uniform curve trajectory. It…
Abstract
Purpose
The paper aims to accurately measure the key motion parameters, such as velocity, azimuth and pitch angle, of the small flying object with a non-uniform curve trajectory. It proposes a measurement method and its calculation model of non-uniform curve trajectory using a photoelectric sensor array.
Design/methodology/approach
First, the basic composition of the measurement system and mechanism of photoelectric sensor array are described, respectively. Second, a non-uniform curve mathematical measurement model is constructed differently from the traditional linear trajectory, taking into account the influence of gravity and air resistance. Third, the measurement error of the system is analyzed through numerical simulation. Finally, the accuracy and feasibility of the approach are verified by live-ammunition experiments.
Findings
The results show that the systematic error of the hitting point coordinates can be reduced by 9% compared to the traditional linear measurement model. Consequently, this method can meet the higher measurement requirement for the key motion parameters of the small flying object under the non-uniform curve trajectory. Research limitations/implications (if applicable)- although the approach itself is generalizable, the method is unable to detect the motion parameters of multiple small flying objects.
Research limitations/implications
Although the approach itself is generalizable, the method is unable to detect the motion parameters of the multiple small flying objects.
Practical implications
It is evident that the proposed non-uniform curve measurement model is more precise in quantifying the essential characteristics of the small flying object, particularly in consideration of the environmental conditions.
Social implications
The precise measurement of the key motion parameters of the small flying object can facilitate the enhancement of the protective performance of protective materials.
Originality/value
A novel approach to measurement is proposed, which differs from the conventional uniform trajectory model. To this end, the space construction of the photoelectric sensor array is optimized. The number of the sensors is revised.