International Journal of Advances in Business and Management Research (IJABMR)

High-Performance and Transportable Materials: Analyzing Characteristics and Applications in Sustainable Construction

Jhao Yuhuan — 2025-03-12

Using citation-context and the paper's content model, the researcher gives an overview of recent changes in environmentally friendly building methods, such as research into the theory and practice of lightweight and high-performance concrete. Previous efforts to use citations to create scientific summaries were utterly unsuccessful because they neglected to provide crucial context, which rendered the summaries useless. Even though the dataset Researchers use for assessment comes from the construction business, most of our methods are general, so they may be applied to other domains. Sustainable construction innovations are at a crossroads; they need to promote global prosperity while reducing their environmental footprint. The construction sector is at a crossroads; it can either help the globe thrive or harm the environment. If this problem persists, using high-performance, lightweight concrete could be the answer. This material greatly decreases the carbon impact while also improving the sustainability of construction operations. The urgent desire for environmentally friendly alternatives to present construction processes is examined in this research, along with potential implications. It emphasizes the benefits of high-performance plus lightweight concrete, such as increased adaptability, decreased weight, better thermal insulation, and decreased carbon emissions. These cutting-edge materials have already proven their worth in famous projects like Milan's Bosco Vertical and Amsterdam's 3D-printed concrete bridge, which both promote environmentally friendly building methods. If the construction sector is serious about fully embracing this technology, it needs to educate itself, engage stakeholders, invest in research, and secure regulatory approval, according to the study. The results of this study provide hope that development and environmental protection can coexist. Conventional building methods significantly impact the natural world.

The Impact of Artificial Intelligence on Business Strategy: A Review of Theoretical and Empirical Studies in China

Zhu Diyin — 2025-03-12

This review article examines the revolutionary influence that artificial intelligence (AI) has had on corporate strategy in China. It does so by analysing theoretical frameworks and empirical investigations in order to identify significant trends, problems, and possibilities. Businesses are using artificial intelligence technologies such as artificial intelligence, machine learning, and advanced analytics to improve decision-making, streamline operations, and acquire competitive advantages as China ranks as a worldwide leader in AI development. Across several sectors, including finance, retail, healthcare, and manufacturing, the analysis emphasises how artificial intelligence is changing strategic planning, consumer interaction, supply chain management, and product creation. Furthermore, covered is how government policies—including the Next Generation Artificial Intelligence Development Plan—help to create an artificial intelligence-driven commercial environment. The paper also points out difficulties companies have, including data protection issues, skill shortages, and ethical conundrums when incorporating artificial intelligence into their plans. Moreover, it emphasises the cultural and financial elements influencing the use of artificial intelligence in Chinese companies, therefore stressing variations from Western strategies. The paper ends with pointing out gaps in present research and recommendations for further investigations, including the long-term effects of artificial intelligence on sustainable company models, leadership styles, and employment trends. This paper provides insightful analysis for academics, legislators, and corporate executives negotiating the fast-changing technology environment as well as helps to clarify how artificial intelligence is driving strategic change in China's corporate scene.

The Function of Educators in Expanding their Professional Competence through Exploration

Pan Yan — 2025-03-12

Examining how actively teachers participate in inquiry-based professional development is the goal of this qualitative study. The research used classroom observations and in-depth interviews to investigate teachers' viewpoints, experiences, and difficulties with professional development programs. The main focuses of the study are their level of participation and their perception of its impact on classroom learning. Schools that value research aim to develop reflective practitioners among their faculty by making research and an inquiry-based pedagogy integral parts of their curricula. A lack of data about the academic and personal success of program alums is a major drawback. This research sought to evaluate the development of inquiry-based practice among seven first-year teachers from Dutch academic teacher training programs. For three years, these grads and their school administrators were subjected to questioning. Their level of engagement with the curriculum increases as the school and students go through inquiry-based learning. It has been suggested by scholars that inquiry-based learning might have many interesting benefits for educators. While obstacles like time and reluctance to change persist, the findings demonstrate that inquiry-based professional development fosters collaboration and self-reflection. The findings might provide valuable information for future professional development (PD) programs that aim to increase student achievement via increased teacher engagement and the use of inquiry-based teaching methods.

Analysis and Formulation of Compensation Strategies to Mitigate Data Error Costs by Investigating Various Error Categories

Miao Congjin — 2025-03-12

Research on methods to standardize data error rates is critical because of the potentially disastrous consequences that data errors may have on businesses. In order to assist readers in developing an equalizations approach to handle data processing mistakes, this article explores the many shapes that these errors might take. The authors begin by differentiating between the two most prevalent types of data processing errors: random and systematic. Random errors, or mistakes that occurs by chance, could be mitigated by using more exact measurement techniques or a bigger sample size. Systematic errors, on the other hand, occur often and may have several sources, such as faulty equipment, inaccurate calibration, or bias in the data collection process. In order to address systematic errors, the authors propose an equalizations technique that comprises identifying and correcting the erroneous data sources. The idea behind this approach is to look for patterns in the data that might indicate systemic issues, and then to implement the appropriate fixes to mitigate such problems. Through a series of experiments utilizing both theoretical and practical data, the authors demonstrate the efficacy of their equalizations approach. Data error rates were significantly reduced in these experiments using the equalizations approach, enabling more accurate and trustworthy findings. In sum, the article effectively lays out the many problems with data processing and how to resolve them by using an equalizations approach. Data quality and decision-making skills may be improved and mistake rates can be reduced, which can lead to increased performance and success for organizations.

The Strategic Role of Epigenetic and Microbiome Interactions in Managing Inflammation-Driven Risks in Diet-Related Obesity

Zhang Jiawei — 2025-03-12

There is mounting evidence that microbiomes, also known as epigenomes, have a role in metabolic health and the inflammation linked to diet-induced obesity (DIO). This work examines the interaction between DIO, the epigenomic landscape, and the makeup of the microorganisms in the digestive tract within the setting of endocannabinoid-mediated inflammatory control in a mouse model. The negative effects of a high-fat diet (HFD) might be studied by first making C57BL/6J mice overweight and then monitoring their weight. Determining if there were alterations in metabolic parameters or inflammatory indicators was the primary objective. Researchers discovered changes in DNA methylation patterns linked to obesity by integrating genomic sequencing with epigenetic profiling. At the same time, scientists analysed the gut microbiota using 16S rRNA sequencing and found that the HFD was associated with major changes in the variety and composition of microbes. Researchers assessed the impact on inflammatory responses and metabolic repercussions after pharmaceutically modifying endocannabinoid signalling in order to identify the pathways. Inflammation in DIO is influenced by both the microbiota and the epigenome, as previously shown. Then, this influences the signalling of endogenous cannabinoids. While further study is required to clarify the precise processes at play and their relevance to obesity prevention and treatment, the present study does draw attention to the intricate relationship between the microbiome, nutrition, and epigenetic pathways as they pertain to metabolic health, as well as the possibility of using these pathways as therapeutic targets for the inflammation that accompanies obesity.

Market-Wide Circuit Breakers: A Critical Analysis of their Impact on Stock Market Stability in India

Waheeda Khatoon — 2025-03-12

The market-wide circuit breaker mechanism was introduced in India on 02 July 2001 with the intent of restraining intense movements in the market. It is a financial instrument that works to prevent both overabundant losses as well as speculative gains within a short span of time. The market-wide circuit breaker is calculated on the basis of the index movements. The circuit breaker system has not undergone amendments to the different levels at which it gets triggered. This is the reasoning for the study, which aims to investigate whether there is a need for a revision of the mechanism. An exploratory study of the equity markets utilizing an Event Study methodology reveals that circuit breakers are definitely useful towards restraining volatility. The study also shows that investors tend to panic more when the markets show intense movements in the downward direction than in the upward direction.