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"Wang, Chao"
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How organizational green culture influences green performance and competitive advantage
PurposeGrowing public concern about the natural environment is rapidly transforming the competitive landscape and forcing firms to adopt green innovation strategies. Many manufacturing firms have recognized the concept of green innovation, though there has been relatively little research on considerations of its driver and effect. The purpose of this paper is to empirically develop and test a theoretical model that analyzes how organizational green culture (OGC) influences green performance and competitive advantage. Specifically, this model explains how green innovation mediates these relationships.Design/methodology/approachThe paper collected data from 327 manufacturing firms of different industry sectors in Taiwan. Structural equation modeling with AMOS 11 software was applied to analyze the data. Data on specific environmental innovation issues at the firm level are not usually available from published sources, so this paper uses a questionnaire. The questionnaire is developed based on the literature.FindingsThe findings of this paper suggest that OGC significantly predicted green performance and competitive advantage, respectively. Moreover, the results show that both green innovation completely mediates between OGC and green performance, and that it has a partially mediating effect on the relationship between organization green culture and competitive advantage under environmental pressure.Research limitations/implicationsThis study has some limitations that point to the future lines of research. Perhaps, the biggest limitation of the study is that the data are from a single country, which may hamper generalization. This study is also limited in that it is based on cross-sectional data. A final limitation is the origin of organizational culture vs employee attitude culture.Originality/valueThis study contributes to the existing literature on organizational culture and innovation by considering green environmental concerns, which have not been empirically explored. This study also offers a unique theoretical argument describing the relationships by considering the mediating effect of green innovation strategy.
Journal Article
Local well-posedness and break-down criterion of the incompressible Euler equations with free boundary
In this paper, we prove the local well-posedness of the free boundary problem for the incompressible Euler equations in low
regularity Sobolev spaces, in which the velocity is a Lipschitz function and the free surface belongs to
eBook
تاريخ الأدب الصيني المعاصر
هذا أول كتاب عن تاريخ الأدب الصيني المعاصر ترجم إلى العربية من الصينية مباشرة، بعد أن لاقى اهتماما كبيرا من الأوساط الثقافية في الصين، نظرا لما يتمتع به من موسوعية. يقسم الكتاب، الأدب الصيني المعاصر إلى جزأين من ناحية النقد. حيث يصف الجزء الأول كيفية حصول قواعد أدبية محددة على الهيمنة المطلقة، بالإضافة إلى الخصائص الأساسية لهذا الشكل الأدبي، أما الجزء الثاني فيكشف الضعف التدريجي، وتفكك هذه القواعد وموقعها المسيطر، وعملية التمايز الأدبي، وإعادة تنظيم البنية الأدبية في السياق التاريخي المتغير.
Book
Battery systems engineering
A complete all-in-one reference on the important interdisciplinary topic of Battery Systems Engineering Focusing on the interdisciplinary area of battery systems engineering, this book provides the background, models, solution techniques, and systems theory that are necessary for the development of advanced battery management systems. It covers the topic from the perspective of basic electrochemistry as well as systems engineering topics and provides a basis for battery modeling for system engineering of electric and hybrid electric vehicle platforms. This original approach gives a useful overview for systems engineers in chemical, mechanical, electrical, or aerospace engineering who are interested in learning more about batteries and how to use them effectively. Chemists, material scientists, and mathematical modelers can also benefit from this book by learning how their expertise affects battery management. ● Approaches a topic which has experienced phenomenal growth in recent years ● Topics covered include: Electrochemistry; Governing Equations; Discretization Methods; System Response and Battery Management Systems ● Include tables, illustrations, photographs, graphs, worked examples, homework problems, and references, to thoroughly illustrate key material ● Ideal for engineers working in the mechanical, electrical, and chemical fields as well as graduate students in these areas A valuable resource for Scientists and Engineers working in the battery or electric vehicle industries, Graduate students in mechanical engineering, electrical engineering, chemical engineering.
eBook
Plant growth regulators for climate-smart agriculture
\"Climatic conditions are key determinants of plant growth, whether at the scale of temperature regulation of the cell cycle, or at the scale of the geographic limits for a particular species. The climate is changing, due to human activities - particularly the emission of greenhouse gases - and therefore the conditions for the establishment, growth, reproduction, survival and distribution of plant species are changing. In contrast to animals, plants can continuously cease and resume growth. This flexibility in their architecture and growth patterns is partly achieved by the action of plant hormones. Still, the role of PGRs in agriculture is modest compared to other agrochemicals, such as fungicides, herbicides, and insecticides. Plant Growth Regulators in agriculture is an invaluable guide to the varied roles filled by PGRs in the attainment of higher-quality, better-yielding crops. Salient Features: Explores the plant growth regulator and anthropogenic climate change. Provides new insights related to hormonal cross-talk in plant development and stress responses. Shed new light on the role of PGRs in agriculture in the attainment of higher-quality, better-yielding crops. Delivers a valuable information on physiological and molecular mechanisms linked to the role of plant growth regulator in stress tolerance. Provides valuable knowledge for the all students of agronomy, plant physiology, molecular biology and environmental sciences\"-- Provided by publisher.
Book
Thermally modulated lithium iron phosphate batteries for mass-market electric vehicles
The pursuit of energy density has driven electric vehicle (EV) batteries from using lithium iron phosphate (LFP) cathodes in early days to ternary layered oxides increasingly rich in nickel; however, it is impossible to forgo the LFP battery due to its unsurpassed safety, as well as its low cost and cobalt-free nature. Here we demonstrate a thermally modulated LFP battery to offer an adequate cruise range per charge that is extendable by 10 min recharge in all climates, essentially guaranteeing EVs that are free of range anxiety. Such a thermally modulated LFP battery designed to operate at a working temperature around 60 °C in any ambient condition promises to be a well-rounded powertrain for mass-market EVs. Furthermore, we reveal that the limited working time at the high temperature presents an opportunity to use graphite of low surface areas, thereby prospectively prolonging the EV lifespan to greater than two million miles.
Ternary layered oxides dominate the current automobile batteries but suffer from material scarcity and operational safety. Here the authors report that, when operating at around 60 °C, a low-cost lithium iron phosphate-based battery exhibits ultra-safe, fast rechargeable and long-lasting properties.
Journal Article
Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with DeepSoluE
Background
Protein solubility is a precondition for efficient heterologous protein expression at the basis of most industrial applications and for functional interpretation in basic research. However, recurrent formation of inclusion bodies is still an inevitable roadblock in protein science and industry, where only nearly a quarter of proteins can be successfully expressed in soluble form. Despite numerous solubility prediction models having been developed over time, their performance remains unsatisfactory in the context of the current strong increase in available protein sequences. Hence, it is imperative to develop novel and highly accurate predictors that enable the prioritization of highly soluble proteins to reduce the cost of actual experimental work.
Results
In this study, we developed a novel tool, DeepSoluE, which predicts protein solubility using a long-short-term memory (LSTM) network with hybrid features composed of physicochemical patterns and distributed representation of amino acids. Comparison results showed that the proposed model achieved more accurate and balanced performance than existing tools. Furthermore, we explored specific features that have a dominant impact on the model performance as well as their interaction effects.
Conclusions
DeepSoluE is suitable for the prediction of protein solubility in
E. coli
; it serves as a bioinformatics tool for prescreening of potentially soluble targets to reduce the cost of wet-experimental studies. The publicly available webserver is freely accessible at
http://lab.malab.cn/~wangchao/softs/DeepSoluE/
.
Journal Article