Search

This theoretical review explores the intricate relationship between Denison’s organizational culture and worker productivity within the context of municipalities, with a specific focus on workplace incivility as a potential mediator. Denison’s model, encompassing four key cultural traits - involvement, consistency, adaptability, and mission - provides a comprehensive framework for understanding how organizational culture impacts various organizational outcomes. The main goal of this review is to introduce the conceptual model framework that suggests the connections between the dimensions of Denison’s organizational culture and employee productivity as well as workplace incivility. The effect of Denison’s organizational culture on the productivity of municipal workers will be explored. By combining existing theoretical perspectives and empirical evidence, this study aims to offer a comprehensive understanding of how each dimension of Denison’s model interacts with and influences productivity through incivility in the distinct settings of municipal organizations. Furthermore, this review contributes to both theoretical and practical domains by enhancing our understanding of how Denison organizational culture manifests in municipal settings and its subsequent influence on worker productivity. Moreover, it furnishes a comprehensive insight into workplace incivility, presenting theoretical arguments and substantiating evidence. The discourse advocates for the vigilant monitoring, effective management, and elimination of adaptable organizational cultural practices within municipalities. These efforts are proposed to not only mitigate workplace incivility but also foster an environment conducive to heightened employee performance and productivity.

The current study, guided by resource-based and signaling theories, investigated the mediator's function of employer branding in the connection between human resources practices and employee engagement. Data analysis for this research employed PLS-SEM, with a sample size comprising 220 individuals employed in various IT companies within the Delhi-NCR region. The restraint to this probe is that it is transverse analysis and employs quantitative research methodologies. The outcomes of the present work unveiled a direct and statistically substantial relationship among human resource practices and employee engagement. Furthermore, employer branding was identified as a mediator in the relationship between human resource practices and engagement among employees. This research provides targeted guidance for HR professionals and leaders in the IT sector, presenting in-depth insights into human resources dynamics, specifically focusing on employee engagement. Emphasizing the intermediary role of employer branding, our study empowers managers with actionable insights to enhance HR strategies, fostering heightened workplace satisfaction and increased employee engagement for a resilient and thriving workforce.

Greenhouse gas (GHG) emissions through freight transportation have received growing concerns and are one of the critical issues for the United Nation's Sustainability Development Goals (SDGs). The literature survey reveals that freight transportation makes up global GHG emissions and its carbon emissions may double by 2050. In European Union (EU) carbon taxes are a promising way to reduce CO2Carbon di oxide and other GHG emissions. The European Energy Exchange (EEX) recently launched its new Zero Carbon Freight Index (ZCFI). EEX-ZCFI provides the first insight into how much the price of carbon will add to freight costs. This work developed the analysis of a ZCFI using a statistical model (i.e. GARCH and FBM) with the intention of offering a reference for understating the wide-range ramifications of such indices. Preprocessing methods (descriptive statistics, unit root test, and an ARCH effect test) are performed to verify the validity of the GARCH (1,1) model for forecasting volatility. This work employs the EEX-ZCFI time series for January 2020 to August 2022. To further examine the carbon freight indices, a Ljung-Box test method based on the GARCH model was applied. The bootstrapped returns are forming a linear relation with the forecast data; therefore, it concluded that the model designed strongly fits with the time series. With GARCH optimal model parameters we have forecasted the carbon freight index time series data and hypothetically examined the influence on the carbon emission with C5TC time series, which can also be applied in the Asia-pacific region.

The ''Metaverse,'' a term popularized by Neal Stephenson's novel Snow Crash, has been discussed in the science fiction community for decades, but technological advancements have only recently made it a reality. The Metaverse is an all-encompassing, interconnected virtual environment where users can freely communicate with one another and digital content. This article examines how various technologies, primarily Virtual Reality (VR) and Augmented Reality (AR), have contributed to the development of the Metaverse (AR). These innovations have revolutionized the way we interact with digital media by enabling us to have genuine, realistic experiences. In addition, we examine the Metaverse technologies that make it possible to construct a fully realized, functional virtual world. Among these are recent advances in artificial intelligence (AI), cryptocurrencies, spatial and peripheral computing, and other fields. Our research investigates the advantages and disadvantages of these technologies, as well as how they may influence the future of the Metaverse. Furthermore, the article explores the darker aspects of the Metaverse, particularly the emergence of the ''dark verse,'' which underscores the potential for organized illicit activities within the Internet due to insufficient oversight and governance of the Metaverse.

One of the most significant areas of local government in the world is the municipality sector. It provides various services to the residents and businesses in their areas, such as water supply, sewage disposal, healthcare, education, housing, and transport. Municipalities also promote social and economic development and ensure democratic and accountable governance. It also helps in encouraging the involvement of communities in local matters. Workers of Municipalities need to maintain their services regularly to the public. The productivity of the employees is just one of the main important factors that influence the overall organizational performance. This article compares various machine learning algorithms such as XG Boost, Random Forest (RF), Histogram Gradient Boosting Regressor, LGBM Regressor, Ada Boost Regressor, and Gradient Boosting Regressor on the dataset of municipality workers. The study aims to propose a machine learning approach to predict and evaluate the productivity of municipality workers. The evaluation of the overall targeted and actual productivity of each department shows that out of 12 different departments, only 5 departments were able to meet their targeted productivity. A 3D Scatter plot visually displays the incentive given by the department to each worker based on their productivity. The results show that XG Boost performs best in comparison with the other five algorithms, as the value of R Squared is 0.71 and MSE (Mean Squared Error) is 0.01.

The increased demand for transport and deteriorating condition of living environment have created a lot of pressure on various authorities to use alternate technologies in transport systems. Electric Vehicles (EVs) are considered as energy transition to reduce emissions of greenhouse gases, carbon emissions, energy consumption, air pollution, and health issues. The study aims to provide a comprehensive multi-dimensional overview on electric vehicles design. The study analyses 12 years (2008–2020) period of scientific contributions. The development of EVs topics is significantly increased since 2011. The collaboration Index (CI = 3.08) suggests a good ratio of authors' count from multi-authored articles. The findings illustrate the combination of identified key factors for EVs. The word cloud highlights the focusing features related to EVs such as charging batteries, e-mobility, environment, sustainability, transportation, and renewable energy. Topic trends suggest the chronological evolution of EVs since 2011. The co-occurrence network discloses the association of key factors used in EVs. The proposed novel mind map discusses five aspects of EV design as i). Government planning; ii). EV Variants; iii). Energy Management; iv). Consumers’ expectations and v). Economic perspectives. The various stakeholders like policymakers, manufacturers, vehicle designers, consumers, energy companies, and service providers would get benefited from outcomes of this study to take initiatives on EVs.

The modern agricultural system is facing the unprecedented task of contriving the extensive demand for agrarian production owing to population explosion and global climate change. The employment of Nanotechnology in agriculture has gained immense interest in recent times for the development of sustainable agricultural technologies and environmental remediation strategies. Nanotechnology pertains to the employment of nanoparticles and furnishes the potential to fabricate novel materials and products possessing improved quality. The nanomaterials may be used as; nanosensors, nanocides, nanofertilizers, nanobarcodes, and nano-remediators, which play a significant role in modern agricultural practices. However, the physical and chemical processes of nanoparticle production is neither economical nor environmentally sustainable. Therefore, the need for green or biogenic nanoparticles obtained from plants, bacteria, fungi or their metabolites has emerged as novel, sustainable, economical, biocompatible, and eco-friendly technology. In this perspective, the production and sources of biogenic nanoparticles and their implication in agro-ecosystems for crop productivity, soil health management, biocontrol, and environmental remediation have been focused on in this review. The potential development and implementation challenges are also explored.