Purpose: This study aimed to investigate the relationships among organizational support for creativity, employees’ creative self-efficacy, job satisfaction, and employees’ innovative behavior in the Chinese pharmaceutical manufacturing industry.Design/methodology/approach: A quota sample (n = 385) and a quantitative research methodology were employed in this study.Data from R&D staff at Chinese pharmaceutical manufacturing companies was gathered using an online survey. The study examined the validity and reliability of the measuring tools as well as the variables’ correlation analysis. Using structural equation modeling (SEM), hypotheses were investigated. The specific indirect impacts were quantified through the use of bootstrapping.Findings:The investigation indicates that organizational support is positively related to employees’ innovative behavior. Employee inventive behavior and organizational support for creativity are positively impacted by the twin mediation roles that creative self-efficacy and work satisfaction levels play. Job satisfaction was found to have a greater impact on inventive behavior among employees compared to creative self-efficacy in terms of size. Research, practical, and social implications: In addition to fostering the interdisciplinary application of psychology and organizational behavior, this study creates a dual-mediation model that bridges the gap in the mechanisms of individual cognitive and attitudinal roles between organizational support for creativity and employee innovative behavior. Furthermore, this research advances management strategies and fosters innovation in the pharmaceutical manufacturing sector.Originality/value: From the perspective of individual perceptions and attitudes, this study examined the mechanism of action between employees’ innovative behaviors and the organizational support for creativity among employees. This investigation offers a fresh viewpoint on the factors influencing employees’ innovative behaviors. The research enhances our comprehension of the correlation between employee job contentment, their belief in their creative abilities, and their capacity for innovative performance. The outcomes of the study can offer valuable perspectives for executives in the business realm.
This research quantitatively examines how online professional development (OPD) affects cognitive development in special education instructors. 100 individuals took part in outpatient department activities for six months, undergoing cognitive ability examinations before and after the intervention. Descriptive statistics, paired samples t-tests, multiple regression analysis, analysis of covariance (ANCOVA), and Pearson correlation coefficients were used to analyze the data. The findings show a significant rise in post-test scores on the Cognitive Abilities Test (CAT) after taking part in the OPD program. Years of experience and education level were important indicators of cognitive progress, emphasizing the significance of individual traits. Moreover, those with greater expertise and advanced levels of education often had better marks on the post-test. The results highlight the significance of cognitive growth as a crucial result of professional development for special education instructors, adding to the existing knowledge base. The research suggests giving priority to cognitive growth in professional development programs, customizing programs to meet individual requirements, and offering continuous support to educators. Future studies should investigate how OPD impacts cognitive development and analyze its lasting consequences on teacher efficacy and student results.
In the face of growing urban problems such as overcrowding and pollution, we urgently need innovative ideas to build smarter and greener cities. Current urban development strategies often fail to address these challenges, revealing a significant research gap in integrating advanced technologies. This study addresses these gaps by integrating green technologies and artificial intelligence (AI), studying its impact on achieving smart and sustainable habitats and identifying barriers to effective use of these technologies, considering local variations in infrastructural, cultural, and economic contexts. By analyzing how AI and green technologies can be combined, this study aims to provide a vision that can be used to improve urban development planning. The results emphasize the significance of environmental responsibility and technological innovation in the development of sustainable urban environments and provide practical recommendations for improving the overall quality of life in cities through planning and urban planning.
Sustainable development is a foundational element in European Union (EU) policies, yet there remains a lack of coherence among member states regarding the perception and response to environmental challenges, resulting in regional inequalities. The “Fit for 55” initiative by the EU is an ambitious strategy aiming to reduce greenhouse gas emissions by 55% by 2030, as part of its broader goal of achieving climate neutrality by 2050. This study investigates the economic impact and intergovernmental dynamics of the “Fit for 55” plan, analyzing its potential to not only meet environmental targets but also to foster economic resilience and social equity across the EU. The purpose of this study is to assess the effectiveness of the “Fit for 55” initiative in harmonizing environmental goals with economic and social policies among diverse EU member states. The study reveals that while the initiative offers significant potential benefits, such as stimulating innovation and creating jobs in green industries, it also faces considerable challenges, including economic disparities among member states and the social impacts of rapid decarbonization. These findings highlight the need for integrated approaches that address both environmental sustainability and socio-economic equity.
The following paper assesses the relationship between electricity consumption, economic growth, environmental pollution, and Information and Communications Technology (ICT) development in Kazakhstan. Using the structural equation method, the study analyzes panel data gathered across various regions of Kazakhstan between 2014 and 2022. The data were sourced from official records of the Bureau of National Statistics of Kazakhstan and include all regions of Kazakhstan. The chosen timeframe includes the period from 2014, which marked a significant drop in oil prices that impacted the overall economic situation in the country, to 2022. The main hypotheses of the study relate to the impact of electricity consumption on economic growth, ICT, and environmental sustainability, as well as ICT’s role in economic development and environmental impact. The results show electricity consumption’s positive effect on economic growth and ICT development while also revealing an increase in pollutant emissions (emissions of liquid and gaseous pollutants) with economic growth and electricity consumption. The development of ICT in Kazakhstan has been revealed to not have a direct effect on reducing pollutant emissions into the environment, raising important questions about how technology can be leveraged to mitigate environmental impact, whether current technological advancements are sufficient to address environmental challenges, and what specific measures are needed to enhance the environmental benefits of ICT. There is a clear necessity to integrate sustainable practices and technologies to achieve balanced development. These results offer important insights into the relationships among electricity consumption, technology, economic development, and environmental issues. They underscore the complexity and multidimensionality of these interactions and suggest directions for future research, especially in the context of finding sustainable solutions for balanced development.
Sustainable development has emerged as a global imperative, with the rapid adoption of the Environmental, Social, and Governance (ESG) framework reflecting this trend. In the context of digital transformation, this study aims to investigate the impact of ESG performance on corporate value, while also examining the moderating and mediating roles of digital transformation and green innovation within this relationship. Utilizing annual data from A-share listed companies on the Shanghai Stock Exchange (SSE) and Shenzhen Stock Exchange (SZSE) spanning the years 2018 to 2022, this research encompasses a total of 17,940 observations. Given China’s commitment to sustainable, high-quality development, this study underscores the critical importance of advancing ESG principles alongside corporate digital transformation. Empirical analysis reveals that ESG performance significantly enhances firm value, with digital transformation serving as a positive moderator that amplifies the impact of ESG performance on firm value primarily through the enhancement of firms’ green technology innovation capabilities. These findings contribute to a deeper understanding of the interaction between ESG initiatives and firm value, particularly amidst ongoing digital advancements. Consequently, this paper recommends that governments enhance corporate ESG performance through a combination of incentive and penalty mechanisms, establish a comprehensive ESG rating system, and optimize the policy framework for digital transformation. Moreover, enterprises should foster awareness of green innovation, refine their governance structures, accelerate digital transformation efforts, and promote the application of digital technologies and information sharing across various domains to achieve sustainable development and enhance competitiveness.
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