Given the severity of today's environmental issues, companies are increasingly making green concepts a key component of their operational strategies. As an essential complement to corporate environmental strategy, employees' green behavior has received attention from all sectors of society. Based on resource conservation theory, this study explores the formation mechanism of employees' green behaviors in enterprises starting from two green management tools: green human resource management (HRM) practices and green transformational leadership. Through two-stage questionnaire research, 296 sample data points were obtained, and the research hypotheses were tested by using linear regression analysis. The results showed that green HRM practices in enterprises enhance employees' green mindfulness and thus stimulate their green behaviors and that green transformational leadership and green self-efficacy play a positive moderating role in the above relationship. These results support the applicability of resource conservation theory in green management and suggest that green HRM practices and green transformational leadership can be used together in the process of green management.
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http://dx.doi.org/10.3389/fpsyg.2022.906869 | DOI Listing |
Mikrochim Acta
January 2025
Institute of Quality Standard and Testing Technology of Beijing Academy of Agriculture and Forestry Sciences, Beijing, 10097, China.
For the first time a novel fluorescent La@ZrMOF nanomaterial was synthesized for the convenient and visual detection of ethephon (ETH) based on the ligand-metal charge transfer process. The fluorescence signal gradually enhanced as the concentration of ETH increased, accompanied by a change in the color from colorless to blue. The assay can be completed within 75 min with a detection limit of 0.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
College of Physics Science & Technology, School of Life Sciences, Institute of Life Science and Green Development, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, 071002, China.
Hardware system customized toward the demands of graph neural network learning would promote efficiency and strong temporal processing for graph-structured data. However, most amorphous/polycrystalline oxides-based memristors commonly have unstable conductance regulation due to random growth of conductive filaments. And graph neural networks based on robust and epitaxial film memristors can especially improve energy efficiency due to their high endurance and ultra-low power consumption.
View Article and Find Full Text PDFAMB Express
January 2025
Botany and Microbiology Department, Faculty of Science, Cairo University, Giza, 12613, Egypt.
A Novel cold-active chitin deacetylase from Shewanella psychrophila WP2 (SpsCDA) was overexpressed in Escherichia coli BL21 and employed for deacetylation of chitin to chitosan. The produced chitosan was characterized, and its antifungal activity was investigated against Fusarium oxysporum. The purified recombinant SpsCDA appeared as a single band on SDS-PAGE at approximately 60 kDa, and its specific activity was 92 U/mg.
View Article and Find Full Text PDFArch Dermatol Res
January 2025
Center for Dermatology Research, Department of Dermatology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Environ Sci Pollut Res Int
January 2025
CPRAC Research Center, Centre de Recherche Scientifique et Technique en Analyses Physico-Chimiques, Bou-Ismail CP, Tipaza, 42004, Algeria.
The aim of the present work is to investigate the photocatalytic degradation of propyl paraben (propyl para-hydroxybenzoate, PrP) using CuO-ZnO-NPs photocatalyst followed by the identification of the oxidation by-products. The CuO-ZnO-NPs material, synthesized using a green chemistry approach, was used as a photocatalyst for the removal of PrP. The nanoparticles were characterized by XRD, XRF, diffuse reflectance spectroscopy, ATG/DTG, FTIR, SEM-EDX, BET and FRX techniques.
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