Adoption Of Advanced Technologies Research Articles

The Impact of Digital Media on Sports Management

The objectives of this research study were (1) to analyze the transformative impact of digital media on sports management practice in Chengdu, (2) to explore the integration of digital platforms and the adoption of advanced technologies in the sports industry, and (3) to identify the challenges faced in the digital age. This hybrid research study employed a combination of quantitative data from online surveys, qualitative insights from semi-structured interviews, and content analysis. The research involved different stakeholder groups in Chengdu’s sports industry, aiming to provide a comprehensive perspective on the utilization of digital media in sports management. Major Findings/Results: (1) The field of sports management in Chengdu has significantly shifted towards digital media, with digital platforms playing a pivotal role in fan participation, marketing strategies, and brand building. Personalized and interactive content has become increasingly preferred by consumers. (2) The study highlighted the importance of advanced technologies such as AI, VR, and 5G in enhancing fan experience and operational efficiency in the sports industry. (3) Key challenges identified include digital rights management, online content regulation, and maintaining fan engagement in a competitive digital landscape. The comparative analysis with global trends revealed both unique and common digital sports management practices in Chengdu. The study underscored the necessity for sports organizations to adapt to the evolving digital environment while considering ethical and regulatory aspects. This research contributes to the academic discourse on sports management in the digital age, offering valuable insights for practitioners and policymakers. It underscores the transformative role of digital media in sports management and advocates for innovative strategies, cultural sensitivity, and ethical integrity in Chengdu’s digital sports landscape.

Exploring the Spatiotemporal Alterations in China’s GPP Based on the DTEC Model

Gross primary productivity (GPP) is a reliable measure of the carbon sink potential of terrestrial ecosystems and is an essential element of terrestrial carbon cycle research. This study employs the diffuse fraction-based two-leaf light-use efficiency (DTEC) model to imitate China’s monthly GPP from 2001 to 2020. We studied the trend of GPP, investigated its relationship with climatic factors, and separated the contributions of climate change and human activities. The findings showed that the DTEC model was widely applicable in China. During the study period, China’s average GPP increased significantly, by 9.77 g C m−2 yr−1 (p < 0.001). The detrimental effect of aerosol optical depth (AOD) on GPP was more widespread than that of total precipitation, temperature, and solar radiation. Areas that benefited from AOD, such as Northwest China, experienced significant increases in GPP. Climate change and human activities had a primary and positive influence on GPP during the study period, accounting for 28% and 72% of the increase, respectively. Human activities, particularly ecological restoration projects and the adoption of advanced agricultural technologies, played a significant role in China’s GPP growth. China’s afforestation plan was particularly notable, with the GPP increasing in afforestation areas at a rate greater than 10 g C m−2 yr−1. This research provides a theoretical foundation for the long-term management of China’s terrestrial ecosystems and helps develop adaptive ecological restoration tactics.

Economic Analysis of Cost and Returns in Turmeric Production and Processing in the Chamarajanagar District of Karnataka, India

This study investigated the economic dynamics of turmeric production and primary processing in Chamarajanagar district, Karnataka, emphasized the significant role of this region in enhancing India's reputation for producing high-curcumin-content turmeric. Despite the growing domestic and international markets for turmeric, which have contributed to the crop's substantial increase in production and productivity over recent decades, there remains a significant gap in organized processing units at the local level. The analysis employed different cost concepts and the Garrett Ranking Technique. By examining the economic aspects of both turmeric cultivation and primary processing phases among farmers in the district, the findings revealed that farmers accrue a net return of ₹18,134 per acre from cultivation after incurring costs of ₹86,424, and a higher net return of ₹24,775 per acre from primary processing with an incurred cost of ₹99,439 per acre. The cost-benefit analysis further underscores the economic viability of turmeric cultivation, with ratios of 1.21 without primary processing and 1.25 with it, thereby highlighting the substantial profitability of turmeric production for local growers. However, the study identifies significant challenges, such as labour shortages and elevated wage rates, attributed to the crop's labour-intensive nature. Moreover, while primary processing increases profitability, it also demands considerable labour and time, potentially compromising the quality of turmeric powder. The research suggests that the adoption of advanced technologies and machinery in curing and processing operations could mitigate these challenges, enhancing efficiency and product quality in turmeric cultivation and processing sectors.

Application of big data analysis in water pollution monitoring

Contemporarily, the quick development of an abundant amount of big data analysis technologies has brought great convenience to individuals' everyday existence. In terms of environmental protection, especially water pollution monitoring, this technological progress is particularly critical. As the global demand for clean water resources grows and global industrialization intensifies pollution of the water environment, the adoption of advanced data analysis technologies has become critical. Among the vast array of machine learning architectures, three particularly stand out due to their significance and widespread adoption: the artificial neural network (ANN), which serves as a foundational pillar in understanding complex data patterns; the multi-layer perceptron neural network (MLPNN), a sophisticated evolution that allows for deeper computations and learning; and the adaptive neuro-fuzzy inference system (ANFIS), which brilliantly combines neural and fuzzy logic principles for intricate problem solving. These models not only have high accuracy due to their wide application, but they still have their own limitations. This article aims to introduce the methods, basic principles, and application scenarios of these models. In addition, this article also compares the advantages and limitations of these machine learning models, thereby providing some new ideas for future improvements and innovations in model algorithms, application scenarios, and integration.

Identifying barriers and drivers for energy efficiency in steel and iron industries of Karachi, Pakistan: Insights from executives and professionals

Pakistan has faced a persistent energy deficit over the past few decades, with energy-intensive industries occupying a substantial share of energy consumption. Despite the potential for energy efficiency improvements within the industrial sector, numerous barriers hinder progress. This study identifies the barriers and drivers of energy efficiency practices specifically within the steel and iron industries of the economic hub of Pakistan. Through a questionnaire-based approach and follow-up interviews, responses were gathered from 32 executives and professionals within the steel sector, representing eight firms. Reliability analysis was conducted to ensure the robustness of the data. The analysis reveals that limited awareness and inadequate managerial commitment are significant barriers to energy efficiency initiatives. Moreover, ineffective policies and a lack of government implementation plans contribute to diminishing demand for energy-efficient technologies. However, there is a growing interest among respondents in reducing energy consumption to enhance cost-effectiveness. Key drivers such as long-term economic benefits, improved working conditions, and cost savings emerge as crucial factors motivating the adoption of energy-efficient practices. Positively, some companies have already initiated energy-saving measures, including the adoption of advanced technologies and renewable energy sources. These findings highlight the urgent need for collaborative efforts to overcome barriers and promote sustainability in steel and iron sector of Pakistan.

IoT Control and Visualization System with Digital Twins and Augmented Reality in a Digital Transformation Space

IoT Control and Visualization System with Digital Twins and Augmented Reality in a Digital Transformation Space

SKENARIO PENINGKATAN PENDAPATAN DALAM USAHATANI JAGUNG MELALUI ADOPSI TEKNOLOGI DI DESA TULABOLO BARAT, PROVINSI GORONTALO

This research aims to examine several scenarios in maize farming by increasing the income generated by maize farming for rural communities in West Tulabolo Village. This increase in income is aimed at through the adoption of advanced agricultural technologies. The research involved interviewing 26 corn farmers using a structured interview guide to assess their current farming practices. The method used in this study is quantitative descriptive data analysis using saturated sampling techniques. The data collected indicates that these farmers have not yet embraced technological advancements, especially when it comes to using hybrid corn cultivation methods like planting a single seed per hole and utilizing organic fertilizers. As a result, these farmers are currently earning low incomes, which amount to Rp. 4.402.090. To maximize profitability, it is crucial to implement improved agricultural methods by integrating technology into the Good Agricultural Practices (GAP) framework. This integration is expected to lead to a significant increase in seasonal revenue, potentially reaching IDR. 19.712.700Keywords: agricultural technology adoption, hybrid corn cultivation, income, maize farming

Socialist Material Negotiations: North Korea’s Utilization of Cold War Architectural Aid (1950s-1960s)

This paper unveils the impact of architectural aid and knowledge exchange on the development of urban housing in North Korea during the 1950s and 1960s. By capturing the diplomatic maneuvers of the DPRK and detailing the aid it received, this paper situates the urban development of North Korea within the broader fabric of global urban experiments. North Korea received foreign architectural assistance more swiftly than Vietnam, enabling the early adoption of advanced architectural technology and theory in urban construction compared to South Korea. However, the intricate relationships and evolving aid dynamics with fraternal socialist countries within the Cold War paradigm later emerged as one of the motivating factors for North Korea to prioritize independent architectural development. Meanwhile, amidst the emphasis on Juche construction and rapid industrialization, the field of architecture, both in academia and on construction sites, faced the challenge of minimizing materials and resources to enhance productivity. Various agents within North Korea’s architectural workforce presented diverse viewpoints and engaged in complex negotiations with the party regarding resource conservation. Drawing from a vast array of primary sources from North Korea and socialist countries, this research elucidates the heterogeneous comprehension of aid acquisition and the indigenous adaptation of the practice and theory of architecture in postwar North Korea.

Solid Waste Management for Environmental Sustainability and Human Health

The paper titled "Solid Waste Management for Environmental Sustainability and Human Health" provides a comprehensive exploration of strategies for the industry to embrace environmentally sustainable practices while safeguarding human health. The foundation is laid through a meticulous assessment of the industry's waste landscape, followed by the establishment of principles grounded in the 3R approach, circular economy integration, and life cycle thinking. The model emphasizes the adoption of advanced technologies, such as efficient recycling and innovative waste-to-energy solutions, along with compliance with stringent policies and regulations. Recognizing the pivotal role of community engagement, the model encourages industry collaboration with local communities, proactive education initiatives, and transparent reporting. Monitoring and evaluation mechanisms, including key performance indicators and regular audits, ensure the effectiveness of waste management initiatives.
 Moreover, the model underscores the importance of innovation and future-readiness, calling for industry investment in research and development to address emerging challenges. Corporate social responsibility is seamlessly integrated, extending sustainable practices to the supply chain and fostering community investments. The model embraces a philosophy of continuous improvement and adaptation, urging industry players to solicit feedback, learn from mistakes, and remain agile in the face of evolving environmental and social landscapes. By incorporating these elements, the model provides a holistic framework for industry-wide adoption, fostering a paradigm shift towards sustainable solid waste management practices that prioritize both environmental well-being and human health.

Digital Opportunity or a Threat? Adoption of Internet of Things (IoT) Monitoring Systems for Natural Resources in Germany

In Germany, modern digital technologies like Internet of Things (IoT) have been increasingly promoted for better environmental and natural resources management through “smart” monitoring and real-time data. However, adopting such advanced technologies is complex and brings a wide array of risks and challenges, and it remains unclear whether local actors are in fact willing and sufficiently equipped to adopt them. Using the Motivations and Abilities (MOTA) framework, and quantitative data collection and analysis methods, this study explores the motivations and abilities of German local (governmental) actors by focusing on the adoption of IoT-based forest and water monitoring systems. The findings reveal an early-stage adoption of IoT environmental monitoring, with limited awareness and no plans for adoption. The lack of willingness, however, is not attributed to a lack of motivation; it is, rather, influenced by perceived insufficient financial and technical capacities and resources. This study provides novel insights for understanding the complex relationship between actors’ behavior and the adoption of advanced digital technologies in the realm of environmental and natural resources management. The results provide a robust foundation for future research, and inform policy and practice aimed at facilitating digitalized natural resources management.

Survey on Sericulture: An IOT-based Cocoon Worms Monitoring for Disease Identification and Management for Quality Silk Rearing.

The sericulture industry in India, plays a vital role in the economy, with silk production contributing significantly to the country's textile sector. However, the industry faces challenges due to the detrimental impact of diseases on silk production. To address this issue, this project proposes a comprehensive monitoring system that integrates sensors for temperature, humidity, and light levels, alongside machine learning algorithms for the early detection of common silkworm diseases such as pebrine, flacherie, etc. By ensuring optimal rearing conditions and proactively managing disease outbreaks, the model aims to minimize production losses and enhance silk yield. Given the importance of silk in India's textile industry, increasing yield is crucial for meeting domestic demand, promoting exports, and bolstering economic growth. Through the adoption of advanced technologies and proactive disease management strategies, this project seeks to strengthen the sericulture sector and secure a sustainable future for silk production in India

Triple-A Paradigm: Examining its Role in Shaping Sustainable Performance

This study investigates the impact of the Triple-A Paradigm—comprising Technology Adoption (AD), Agility (AG), and Alignment (AL) on Sustainable Performance (SP) in the aviation sector. Utilizing a robust empirical approach, employing SmartPls analysis, the research establishes a significant positive relationship between each dimension of the Triple-A Paradigm and Sustainable Performance. The data was collected through a questionnaire survey from 163 aviation management professionals and the findings reveal that advanced technology adoption, organizational agility, and strategic alignment positively contribute to sustainable practices within the aviation industry. The study's outcomes provide valuable insights for aviation industry stakeholders and suggest strategic imperatives for enhancing sustainable performance in a dynamically evolving sector.

CYBERSECURITY DYNAMICS IN NIGERIAN BANKING: TRENDS AND STRATEGIES REVIEW

This paper provides an in-depth review of the cybersecurity dynamics within the Nigerian banking sector, emphasizing recent trends and strategic approaches to address emerging challenges. As a review paper, it synthesizes existing literature, reports, and case studies to offer a comprehensive understanding of the current cybersecurity landscape in Nigerian banks. The focus is on identifying the predominant cyber threats, analyzing the sector's response strategies, and evaluating the effectiveness of these measures in the context of Nigeria's unique socio-economic and regulatory environment. Our analysis reveals a notable escalation in cyber threats, particularly phishing, ransomware, and insider attacks, which have been intensified by the rapid digital transformation in banking services. The review identifies key factors contributing to these challenges, such as the increasing sophistication of cybercriminals, the digital literacy gap among customers, and the evolving nature of cyber threats. It also examines the strategic responses of Nigerian banks, including the adoption of advanced security technologies, enhanced staff training, and collaboration with government and international cybersecurity bodies.The paper concludes that Nigerian banks have made significant strides in fortifying their cybersecurity defenses. However, it also highlights the need for more robust regulatory frameworks, increased customer awareness initiatives, and a shift towards more integrated and proactive cybersecurity strategies. The findings of this review underscore the critical need for continuous evolution and investment in cybersecurity measures to effectively counter the dynamic and complex nature of cyber threats in the Nigerian banking sector.
 Keywords: Cybersecurity, Cybersecurity Dynamics, Nigerian Banking Sector, Digital Transformation, Cyber Threats, Phishing Attacks, Ransomware, Insider Threats, Regulatory Framework, Central Bank of Nigeria (CBN), Compliance Challenges, Security Technologies, Cybersecurity Awareness, Artificial Intelligence (AI), Machine Learning (ML), Blockchain Technology.

Multimodality Cardiac Imaging and the Imaging Workforce in the United States: Diversity, Disparities, and Future Directions.

Innovations in cardiac imaging have fundamentally advanced the understanding and treatment of cardiovascular disease. These advances in noninvasive cardiac imaging have also expanded the role of the cardiac imager and dramatically increased the demand for imagers who are cross-trained in multiple modalities. However, we hypothesize that there is significant variation in the availability of cardiac imaging expertise and a disparity in the adoption of advanced imaging technologies across the United States. To evaluate this, we have brought together the leaders of cardiovascular imaging societies, imaging trainees, as well as collaborated with national imaging accreditation commissions and imaging certification boards to assess the state of cardiac imaging and the diversity of the imaging workforce in the United States. Aggregate data confirm the presence of critical gaps, such as limited access to imaging and imaging expertise in rural communities, as well as disparities in the imaging workforce, notably among women and underrepresented minorities. Based on these results, we have proposed solutions to promote and maintain a robust and diverse community of cardiac imagers and improve equity and accessibility for cardiac imaging technologies.

Comparative Analysis on Cost-Economics Evaluation of Robotic Tiller-Planter against Conventional Tillage and Planting Operations

The labor-intensive, costly, and time-consuming nature of manual tillage and planting in maize cultivation necessitates the integration of mechanized and robotic methods. This study focuses on the economic evaluation of a Robotic tiller-planter as a solution to address these challenges. Precise robotic tilling and planting methods aim to mitigate cultivation costs, reduce time requirements, and enhance worker comfort. Through a thorough assessment of ownership and operational expenses, farmers gain valuable insights to make informed decisions regarding the adoption of precise robotic machinery, optimization of existing equipment, or exploration of alternative methods for improved farm productivity and financial outcomes. The study compares the Robotic tiller-planter with conventional tillage and planting methods, revealing ownership and operating costs of 172.48 Rs/h and 126.44 Rs/h, respectively. The comparative analysis demonstrated a remarkable 61.58% time savings and a 54.72% reduction in costs during tilling and planting when utilizing the Robotic tiller-planter compared to conventional methods. The findings highlight the cost-effectiveness and environmental benefits associated with the robotic system. This research provides farmers with crucial insights, promoting the adoption of advanced agricultural technologies to optimize resource utilization, improve efficiency, and substitute sustainable farming practices.

CYBERSECURITY IN BANKING: A GLOBAL PERSPECTIVE WITH A FOCUS ON NIGERIAN PRACTICES

The paper review cybersecurity practices in banking, with a specific focus on Nigerian banks. Cybersecurity has become a paramount concern in the banking industry worldwide, given the escalating frequency and sophistication of cyber threats. This study provides an overview of the global landscape of cybersecurity in banking, with a specific focus on practices observed in Nigeria. The global banking sector is witnessing a surge in digital transformation, marked by the adoption of advanced technologies and online financial services. However, this digitization brings with it unprecedented cybersecurity challenges, ranging from data breaches and ransomware attacks to sophisticated financial fraud. Financial institutions globally are compelled to fortify their cybersecurity frameworks to protect sensitive customer information, ensure the integrity of financial transactions, and maintain trust in the digital financial ecosystem. Nigeria, as a key player in the African banking landscape, faces unique cybersecurity challenges and has developed distinct strategies to safeguard its financial institutions. This study explores the cybersecurity practices employed by Nigerian banks, considering regulatory frameworks, incident response mechanisms, and collaborative efforts with international cybersecurity entities. The analysis encompasses case studies illustrating real-world cyber threats and incidents in both global and Nigerian banking contexts. It investigates the effectiveness of cybersecurity measures implemented by Nigerian banks, shedding light on the nation's response to evolving cyber risks. Furthermore, the study delves into collaborative initiatives between Nigerian banks, regulatory bodies, and international cybersecurity organizations to enhance information sharing, threat intelligence, and collective defense mechanisms. It also explores the role of public awareness campaigns in fostering a cyber-resilient banking environment. The insights provided aim to contribute to the collective understanding of cybersecurity challenges in the global banking sector while offering a nuanced perspective on Nigerian practices. As digital financial ecosystems continue to evolve, the findings underscore the importance of ongoing adaptation, collaboration, and innovation in safeguarding the integrity and trustworthiness of banking systems, both on a global scale and within the Nigerian context.
 Keywords: Cybersecurity, Banking, Global Perspective, Nigerian, Cybersecurity, Artificial Intelligence.

Removal of fluorouracil from aqueous environment using magnetite graphene oxide modified with γ-cyclodextrin.

Fluorouracil (FU) is a widely utilized antineoplastic medication in the pharmaceutical industry for combating gastrointestinal cancers. However, its presence in wastewater originating from pharmaceutical facilities and hospital effluents has a potential effect on DNA, and cannot be efficiently eliminated through conventional treatment methods. Consequently, the adoption of advanced technologies becomes crucial for effectively treating such wastewater. Accordingly, this study investigated the efficiency of magnetite graphene oxide nanocomposite functionalized with γ-cyclodextrin for removing fluorouracil from aqueous solutions. The magnetite graphene oxide nanocomposite functionalized with γ-cyclodextrin was synthesized via the hydrothermal method. Next, the effect of pH, temperature, adsorbent content, and contact time on the fluorouracil removal efficiency was explored. Ultimately, the experimental data were matched against Langmuir, Freundlich, and Temkin isotherms and Kinetic models. Accordingly, the efficiency of the absorbent used was dependent on the pH, contact time, temperature, and initial concentration of the adsorbent. The results indicated that the maximum removal efficiency for fluorouracil was achieved within the contact time of 45 min and adsorbent content of 0.020 g. In addition, the optimal pH for removing the medicine was 7. The conditions of the adsorption process followed Langmuir isotherm with correlation coefficients of 0.992 and a quasi-second kinetic model with a correlation coefficient of 0.999, with the maximum adsorption capacity of the adsorbent synthesized for the evaluated medicine estimated as 190.9 mg/g. The results showed that the magnetite graphene oxide nanocomposite functionalized with γ-cyclodextrin could be used as an effective and available adsorbent for removing fluorouracil from pharmaceutical wastewater.

Research on the coal saving and emission reduction potential of advanced technologies in China's iron and steel industry

The coal-based energy consumption structure has led to high coal consumption and carbon emissions in China's iron and steel industry, and the task of coal saving and carbon reduction in the steel industry is difficult and urgent. The economic viability of various coal-saving and emission-reduction technologies, the extent of their coal-saving and emission-reduction potential, and the guidance on the adoption of advanced technologies are crucial issues that need to be addressed in the Chinese steel industry. This article employs the Energy-Production (E-P) analysis method and the Conservation Supply Curve (CSC) model incorporating coal consumption ratio coefficients to systematically analyze coal consumption and carbon dioxide emissions in the overall iron and steel industry and its sub-processes under different scenarios. It calculates the coal-saving emission reduction costs of 32 technologies, evaluates them comprehensively based on their coal-saving and emission-reduction potentials and cost-effectiveness, and categorizes them accordingly. According to the cost of coal saving and emission reduction as the demarcation point, a total of 19 technologies are cost-effective; according to the coal-saving emission reduction potential and cost division, 32 technologies are divided into 6 categories, among which 6 technologies such as sintering waste heat recovery technology can be used as key technologies for popularization and application. Seven technologies, such as efficient preheating technology of ladle, have high cost and low potential, which can be gradually eliminated or improved and upgraded. After the comprehensive promotion of the 32 technologies, the maximum coal saving potential is about 3.453 billion GJ, the CO2 emission reduction potential is 395 million tons, the total coal consumption of the steel industry can be reduced to about 13.904 billion GJ, and the carbon dioxide emissions can be reduced to 1.179 billion tons.

Інноваційна діяльність як засіб формування та розвитку професійної компетентності педагога у взаємодії з викладачами закладів вищої освіти

This article explores the importance of innovative activity in the process of shaping and developing the professional competence of educators, particularly in the context of collaboration with instructors from higher education institutions. It examines the use of advanced teaching methods and pedagogical approaches in the educational process, as well as highlights innovative technologies that can enhance the quality of education. The article emphasizes the significance of interaction between educators and university instructors to achieve common pedagogical goals and improve the educational process. The authors analyze strategies and methods for implementing innovative approaches in practical activities aimed at enhancing teaching effectiveness and developing pedagogical knowledge and skills. Additionally, it’s worth noting that the research findings indicate a significant impact of innovative activity on pedagogical practice and the professional development of teachers. Innovations assist educators in adapting to changes in the modern educational environment, implementing new teaching methods and approaches, thereby facilitating more effective learning and improving student performance. Therefore, the study underscores the importance of innovations in contemporary pedagogical practice and their role in enhancing education quality and fostering the development of the pedagogical community. The research conclusions emphasize the importance of innovations in pedagogical practice and their potential for enhancing education quality. Specifically, it has been found that innovative activity promotes creativity and professional growth within the pedagogical community by facilitating the adoption of advanced methods and technologies in the educational process. Additionally, the significance of collaborative efforts between educators and university instructors is highlighted for achieving common goals in improving the educational environment and enhancing the quality of teaching and learning.

Antecedents of adoption and usage of ChatGPT among Jordanian university students: Empirical study

This research uses Technology Acceptance Model to explore the elements influencing students' attitudes toward using Chat Generative Pre-Trained Transformer (ChatGPT), a recently developed artificial intelligence (AI) tool, for learning and educational purposes. Using Amos version 23 structural equation modelling and 880 student survey responses, the suggested model was empirically tested. According to the report, students think well of ChatGPT utilization in the classroom. Credibility, Usefulness and ease of use, all influence how positively people feel about using this technology in a classroom setting. The study's findings, however, did not support the notion that students' adoption and use of ChatGPT was insignificantly influenced by perceived enjoyment. Moreover, the results conclude that attitude mediates the relationship between usefulness and intention to use ChatGPT. The research will help businesses, educational institutions, and the global community by providing insight into how students view the ChatGPT service within a learning environment. Additionally, the application boosts learners' confidence and interest, which improves general awareness and literacy. Finally, the research will facilitate developers of AI in the betterment of their product and service delivery and regulators in regulating the use of AI-based bots. Owing to its recentness, there is not much study currently available on ChatGPT use in education. This research adds significantly to the extant knowledge on the adoption of advanced education technologies by examining the adoption characteristics of ChatGPT, a novel AI-based tool involving students. Additionally, there is a dearth of research in the literature on students' adoption of ChatGPT for educational purposes. Such a gap was filled as this study identified the factors affecting students' adoption of ChatGPT in the classroom.