Qiong Yao, Jinxin Liu, Shibin Sheng and Heng Fang
Drawing on the literature of eco-innovation and institutional theory, this research aims to answer two fundamental questions: Does eco-innovation improve or harm firm value in…
Abstract
Purpose
Drawing on the literature of eco-innovation and institutional theory, this research aims to answer two fundamental questions: Does eco-innovation improve or harm firm value in emerging markets? and How institutional environments moderate the relationship between eco-innovation and firm value? We explicate the regulatory, normative and cognitive pillars of institutions, manifested as regulation intensity, environmental agency pressure and public pressure, respectively.
Design/methodology/approach
For this study, a cross-sectional panel data set was assembled from multiple archival sources, including data coded from the corporate annual reports and social responsibility reports, statistical yearbooks, China Stock Market Financial Database (CSMAR) and other secondary sources. A hierarchical regression method was used to test the hypotheses. The data comprised 88 firms sampled over four years. The model using feasible generalized least squares (FGLSs) to control heteroscedasticity in errors due to unobserved heterogeneity was estimated.
Findings
Empirical findings from a data set compiled from multiple archival sources reveal that both eco-product and eco-process innovation negatively relate to firm value. The interactions between eco-innovation and regulation intensity, environmental agency pressure and public pressure are positively related to firm value.
Originality/value
First, this study extends the literature of eco-innovation by investigating the impact of eco-innovation on firm value. Contrary to the conventional anecdotal evidence of the beneficial effect of eco-innovation, it was found that eco-innovation relates negatively to firm value. Second, this study develops and tests an institutional contingent view of eco-innovation by accounting for the moderating role of regulatory, normative and cognitive pressures.
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Abstract
Purpose
This paper aims to assess precise correlations between intermetallic compounds (IMCs) microstructure evolutions and the reliability of micro-joints with a Cu/SAC305solder/Ni structure using thermal shock (TS) tests.
Design/methodology/approach
This paper uses 200-µm pitch silicon flip chips with nickel (Ni) pads and stand-off height of approximately 60 µm, assembled on substrates with copper (Cu) pads. After assembly, the samples were subjected to air-to-air thermal shock testing from 55 to 125 per cent. The transfer time was less than 5 s, and the dwell time at each temperature extreme was 15 min. To investigate the microstructure evolution and crack growth, two samples were removed from the thermal shock chamber at 0, 400, 1,200, 2,000, 5,800 and 7,000 cycles.
Findings
The results showed that one (Cu, Ni)6Sn5/(Ni, Cu)3Sn4 dual-layer structure formed at the Ni pad interface of chip side dominates the micro-joints failure. This is because substantial (Ni, Cu)3Sn4 grain boundaries provide a preferential pathway for the catastrophic crack growth. Other IMCs microstructure evolutions that cause the prevalent joints failure as previously reported, i.e. thickened interfacial (Cu, Ni)6Sn5 and Ni3P layer, and coarsened IMCs inside the solder matrix, only contributed to the occurrence of fine cracks. Moreover, the typical interfacial IMCs spalling triggered by thermally induced stress did not take place in this study, showing a positive impact in the micro-joint reliability.
Originality/value
As sustained trends toward multi-functionality and miniaturization of microelectronic devices, the joints size is required to be constantly scaled down in advanced packages. This arises a fact that the reliability of small-size joints is more sensitive to the IMCs because of their high volume proportion and greatly complicated microstructure evolutions. This paper evaluated precise correlations between IMCs microstructure evolutions and the reliability of micro-joints with a Cu/SAC305solder/Ni structure using TS tests. It found that one (Cu, Ni)6Sn5/(Ni, Cu)3Sn4 dual-layer structure formed at the Ni pad interface dominate the micro-joints failure, whereas other IMCs microstructure evolutions that cause the prevalent joints failure exhibited nearly negligible effects.
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Heng Fang, Binjie Xin and Xiaoxia Liu
This paper presents an overview of the yarn appearance evaluation methods based on image processing technology in recent years. A comparison of these new digital solutions and the…
Abstract
This paper presents an overview of the yarn appearance evaluation methods based on image processing technology in recent years. A comparison of these new digital solutions and the traditional yarn appearance evaluation methods is made in detail with an introduction of the related systems, algorithms and principles. The future development of yarn appearance evaluation is also analyzed. Yarn hairiness, as the key parameter of yarn appearance, is the focus of evaluating yarn appearance. The reported methods can be classified into traditional test methods and digital image methods. The former include four main methods (weighting, electrostatic, microscopic counting, and photoelectric measurement methods). Both the advantages and disadvantages of the traditional test methods and digital image methods have been summarized and discussed in this paper. The aim of this work is to provide a good reference platform for researchers to provide knowledge on the history of the measurement methods of yarn appearance and utilize these methods to evaluate yarn appearance.
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Keith W. Hipel, Liping Fang and Yi Xiao
A flexible decision technology called the Graph Model for Conflict Resolution (GMCR) is applied to a generic aquaculture conflict to illustrate how GMCR can be used to…
Abstract
Purpose
A flexible decision technology called the Graph Model for Conflict Resolution (GMCR) is applied to a generic aquaculture conflict to illustrate how GMCR can be used to systematically investigate a wide range of conflicts arising in aquaculture in order to obtain meaningful strategic insights and thereby assist in making informed decisions in aquaculture development. To emphasize the importance of being able to resolve aquaculture controversies, a review of the global economic impacts of the aquaculture industry is provided and the key stakeholders who may be involved in aquaculture disputes along with their legitimate interests are identified. The paper aims to discuss these issues.
Design/methodology/approach
The GMCR methodology comprises two main stages: modeling and analysis. During the modeling stage, key decision makers (DMs), the options under each DM’s control and each DM’s relative preferences over feasible states are identified based on a thorough background investigation to a given dispute. Within the analysis stage, solution concepts that describe key characteristics of human behavior under conflict are utilized to determine resolutions that could occur when DMs interact under pure competition and cooperatively. Interpretation of the equilibrium results provides meaningful strategic insights for better understanding which strategies a given DM could select as the conflict evolves over time.
Findings
The results demonstrate how difficult it can be to balance the interests of different key stakeholders in aquaculture development. In all possible resolutions identified in the generic aquaculture conflict, at least two DMs among First Nations, environmental group and residents (Res) would object to the expansion of aquaculture activities due to the assumption that the government would choose to appease one stakeholder at a time. They also reflect the need for a useful tool box of decision technologies for addressing the vast range of challenges that could arise in the important area of marine economics and management.
Originality/value
The GMCR methodology possesses several unique and key original capabilities in comparison to other conflict analysis models. First, it only requires limited information to calibrate a conflict model. Second, it contains a number of solution concepts that describe how a DM could think and behave under conflict. Third, it furnishes a range of informative output, follow-up analyses and advice for use in real-life decision support. Finally, all of the foregoing advantages of GMCR can be contained within decision support systems that permit practitioners and researchers to readily apply the GMCR methodology to real-life conflicts.
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Abstract
Purpose
This paper aims to select an appropriate contact force model and apply it to the interaction model between the balls and the cage in the rolling bearings to describe the elastic–plastic collision phenomena between the two.
Design/methodology/approach
Taking the ball–disk collision mode as an example, several main contact force models were compared and analyzed through simulation and experiment. In addition, based on the consideration of yield strength of materials and initial collision velocity, a variable recovery coefficient model was proposed, and its validity and accuracy were verified by the ball–disk collision experiments. Then, respectively, the Flores model and the Hertz model were applied to the interaction between the balls and the cage, and the dynamics simulation results were compared.
Findings
The results indicate that the Flores model has good regression of recovery coefficient, indicating good applicability for both elastic and elastic–plastic contacts and can be applied to the contact collision situations of various materials. Under certain working conditions, there are significant differences in the dynamics results of rolling bearings simulated using the Flores model and Hertz model, respectively.
Originality/value
This paper applies the Flores model with variable recovery coefficients to the dynamics simulation analysis of ball bearings to solve the elastic–plastic collision problem between the rolling elements and the cage that cannot be reasonably handled by the Hertz model.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0138/
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Heng Shao, Zhigeng Fang, Qin Zhang, Qian Hu, Jiajia Cai and Liangyan Tao
As productions show characteristics of multi-varieties and small batch in a recent new product system, it is more difficult to acquire its failure rate data. With the help of…
Abstract
Purpose
As productions show characteristics of multi-varieties and small batch in a recent new product system, it is more difficult to acquire its failure rate data. With the help of expert experience information, the authors can get the interval estimation of failure rate data under different methods, so how to make the interval convergence with the new information is an important problem to be solved. The paper aims to discuss this issue.
Design/methodology/approach
In this paper, the concept of generalized standard grey number is used to characterize the multi-source heterogeneous uncertainty failure rate data into a unified framework. Then, the engineering construction method is used to calculate the average failure rate and build the grey exponential distribution reliability function, whose image is presented as the possible region of the two-curve envelope.
Findings
Further, according to the normal distribution assumption of the regional convergence based on the information supplement, the convergence problem of the reliability function is transformed into the convergence of the area of the curve envelope region, and construct the multi-objective programming model with the minimum envelope area and the lowest total cost of information acquisition, acquire the conclusion that the failure rate is equal to the nuclear of the average failure rate when the envelope region converges.
Originality/value
Through the case analysis of the equipment ejection system of the Harbinger system, five groups of results are obtained by Matlab simulation, which verify the rationality and feasibility of the model described in this paper.
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Heng-yang Lu, Jun Yang, Wei Fang, Xiaoning Song and Chongjun Wang
The COVID-19 has become a global pandemic, which has caused large number of deaths and huge economic losses. These losses are not only caused by the virus but also by the related…
Abstract
Purpose
The COVID-19 has become a global pandemic, which has caused large number of deaths and huge economic losses. These losses are not only caused by the virus but also by the related rumors. Nowadays, online social media are quite popular, where billions of people express their opinions and propagate information. Rumors about COVID-19 posted on online social media usually spread rapidly; it is hard to analyze and detect rumors only by artificial processing. The purpose of this paper is to propose a novel model called the Topic-Comment-based Rumor Detection model (TopCom) to detect rumors as soon as possible.
Design/methodology/approach
The authors conducted COVID-19 rumor detection from Sina Weibo, one of the most widely used Chinese online social media. The authors constructed a dataset about COVID-19 from January 1 to June 30, 2020 with a web crawler, including both rumor and non-rumors. The rumor detection task is regarded as a binary classification problem. The proposed TopCom model exploits the topical memory networks to fuse latent topic information with original microblogs, which solves the sparsity problems brought by short-text microblogs. In addition, TopCom fuses comments with corresponding microblogs to further improve the performance.
Findings
Experimental results on a publicly available dataset and the proposed COVID dataset have shown superiority and efficiency compared with baselines. The authors further randomly selected microblogs posted from July 1–31, 2020 for the case study, which also shows the effectiveness and application prospects for detecting rumors about COVID-19 automatically.
Originality/value
The originality of TopCom lies in the fusion of latent topic information of original microblogs and corresponding comments with DNNs-based models for the COVID-19 rumor detection task, whose value is to help detect rumors automatically in a short time.
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The purpose of this paper was to map the safety management research of construction industry by scientometric analysis, which can predict important highlights and future research…
Abstract
Purpose
The purpose of this paper was to map the safety management research of construction industry by scientometric analysis, which can predict important highlights and future research directions of safety management research in the construction industry. As an important issue in the construction industry, safety management issues have been researched from different perspectives. Although previous studies make knowledge contributions to the safety management research of construction industry, there are still huge obstacles to distinguish the comprehensive knowledge map of safety management research in the construction industry.
Design/methodology/approach
This study applies three scientometric analysis methods, collaboration network analysis, co-occurrence network analysis and cocitation network analysis, to the safety management research of construction industry. 5,406 articles were retrieved from the core collection database of the Web of Science. CiteSpace was used for constructing a comprehensive analysis framework to analyze and visualize the safety management research of construction industry. According to integrating the analysis results, a knowledge map for the safety management research of construction industry can be constructed.
Findings
The analysis results revealed the academic communities, key research topics and knowledge body of safety management research in the construction industry. The evolution paths of safety management research in the construction industry were divided into three development stages: “construction safety management”, “multi-objective safety management” and “comprehensive safety management”. Five research directions were predicted on the future safety management research of construction industry, including (1) comprehensive assessment indicators system; (2) intelligent safety management; (3) cross-organization collaboration of safety management; (4) multilevel safety behavior perception and (5) comparative analysis of safety climate.
Originality/value
The findings can reveal the overall status of safety management research in the construction industry and represent a high-quality knowledge body of safety management research in the construction industry that accurately reflects the comprehensive knowledge map on the safety management research of construction industry. The findings also predict important highlights and future research directions of safety management research in the construction industry, which will help researchers in the safety management research of construction industry for future collaboration and work.
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Xiaoying Li, Heng Li, Martin Skitmore and Fan Wang
Neglecting to wear a safety helmet can result in serious injuries at construction sites, but the cause of such unsafe behavior has not been fully understood. Therefore, the…
Abstract
Purpose
Neglecting to wear a safety helmet can result in serious injuries at construction sites, but the cause of such unsafe behavior has not been fully understood. Therefore, the purpose of this paper is to provide a means of systematically understanding on the causes of non-helmet use behaviors at construction sites.
Design/methodology/approach
This paper utilizes the system dynamics (SD) modeling to portray the construction system works at project, management and individual levels to understand the relative importance of safety climate and productivity pressures. A real-time helmet use behavior tracking system (the Eye on Project (EOP)) is developed to provide an objective record of helmet use practices. Using the data collected from the EOP, the proposed SD model can be calibrated to simulate the influence of safety climate and productivity pressures on the non-helmet use behaviors of construction workers.
Findings
The data collected from 91 responses through the questionnaire survey were utilized to develop the SD model, which consists of two balancing loops and two reinforced loops. The mean absolute percentage error is further used to evaluate the model. The results show that a positive safety climate significantly reduced the rate of non-helmet use behavior.
Originality/value
This study divided the primary contributors of non-helmet use behavior into three levels for the SD model development. The SD model can be used to develop policies for mitigating helmet misuse, which in turn improves the safety performance of construction sites.
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Priyanka Dubey, Owais Yousuf and Anupama Singh
Globalization has increased the consumer's demand for safe and quality foods. To make food available to consumers from farm to fork, packaging plays a crucial role. The objective…
Abstract
Globalization has increased the consumer's demand for safe and quality foods. To make food available to consumers from farm to fork, packaging plays a crucial role. The objective of packaging is to shield the foodstuff from degrading and to serve as the medium of communication between the processing industry and the consumers. Conventionally, several materials are used in the packaging such as laminates, plastics, glass, metal, etc., but with the advent of technology, newer and novel smart packaging technologies have entered this field. Smart packaging in the form of active and intelligent packaging not only acts as a barrier to external influences but also prevents internal deterioration. Oxygen scavengers, moisture controllers, antioxidants, CO2 absorber/emitter, antimicrobial agents, etc., are some of the vital active packaging systems. On the other hand, an intelligent packaging system contains internal or external indicators and sensors that monitor the condition of packed food and gives information about its quality during storage and transportation. It seems that these interventions in packaging have very positive effects on the whole industry, but it is observed that this advancement in the packaging has also raised questions about its disposal. To overcome this issue, industries have started using smart packaging design along with the sustainable packaging trend. Communication with the recycling bodies at the time of development will ensure the smart packaging fit to be recycled. Considering such standards for smart packaging will not only create a healthy bond between industries and consumers but will also help in sustainable development. This chapter mainly focuses on the advancement of the packaging system associated with the agri-food sector. It also discusses how the implementation of these technological advancements will help the industries toward sustainable development.