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Impact of AI on Students Mental Health and Well-Being
This chapter examines the transformative impact of artificial intelligence (AI) on students' mental health and well- being, addressing the urgent need for innovative solutions in response to escalating mental health challenges among this demographic. In recent years, mental health issues among students have surged due to a combination of factors, including increasing academic pressures, socio- economic disparities, and the pervasive influence of digital technologies. These challenges create a complex array of psychological and emotional difficulties that necessitate timely and effective interventions.AI technologies, particularly those leveraging natural language processing (NLP) and machine learning (ML), are emerging as scalable and accessible tools for mental health support in educational settings. Unlike traditional therapeutic methods, which often face geographical, financial, and logistical constraints, AI-powered tools provide round- the- clock assistance to users, transcending barriers of time and location. 2026, IGI Global Scientific Publishing. All rights reserved. -
Impact of AI Technology Disruption on Turnover Intention of Employees in Digital Marketing
The rapid integration of AI technology into the digital marketing sector has prompted a need to understand its effects on employee perspectives and behaviors. This study investigates how AI adoption influences job insecurity, turnover intention, and job mobility among digital marketing professionals. Addressing concerns about AI rendering roles obsolete is crucial for fostering a supportive work environment. Turnover intention, influenced by AI adoption and potential job dissatisfaction, offers insights into employees' commitment to the industry. Job mobility, influenced by growth prospects and alignment with AI-driven workplaces, sheds light on career aspirations. Our study involving 303 employees of digital marketing industry in India reveals that AI disruption significantly impacts turnover intention, with job insecurity mediating this effect. Additionally, mistreatment by superiors increases turnover intention. Overall, this research underscores the profound impact of AI technology on employees' attitudes, behaviors, and career decisions in digital marketing, providing valuable insights into their perceptions and engagement 2024 IEEE. -
Impact of air pollution in health and socio-economic aspects: Review on future approach
Air contamination is mainly induced by human activity and environmental pollution. Consumption of Air pollution in fewer amounts leads to a significant range of harmful effects on public safety. Nevertheless, with the accelerated pace of economic growth and modernization and the high quantity of electricity need results in huge amounts of pollutants and waste creates significant air pollution. The latest research has shown that because humans only use a tiny part of their day to drive, their constant air quality intake is primarily attributed to the commuting microenvironment. The nature of life on this planet is dependent on clean air. This article presents the literature to include a review of the effect on different facets of human existence of air emissions. The effect is narrowly classified into health and climate change. The study shows that air contamination has a broad variety of consequences, from infectious illnesses and life-threatening disorders and the breakdown of particular organ systems and psychological health. There is no question that this problem has to be addressed with the utmost focus. Such results should be used to prompt further work and to deliver clean air initiatives to officials. 2020 Elsevier Ltd. All rights reserved. -
Impact of anionic concentration on the structural, morphological, and optical characteristics of ZnS quantum dots
ZnS quantum dots exhibit remarkable versatility with novel properties and diverse applications. Highly crystalline ZnS quantum dots with cubic structure were prepared using a simple wet-chemical route by varying the sulphur concentration. This work offers an in-depth study of the influence of sulphur concentration on the optical, surface and structural characteristics of ZnS quantum dots. Structural analysis using XRD affirmed the cubic structure of ZnS. FESEM disclosed non-uniform nanosphere-like morphology, while TEM was utilized for particle size determination. Optical characteristics were assessed utilizing UVVis spectroscopy and photoluminescence spectroscopy. The ZnS quantum dots synthesized with sulphur concentration double that of the zinc concentration in the precursor solution exhibited the appropriate stoichiometry with minimum point defects. Owing to their high crystallinity, small crystallite size, excellent stability, and suitable optical properties, ZnS quantum dots are favourable candidates for optoelectronic applications. Indian Association for the Cultivation of Science 2025. -
Impact of Artificial Intelligence on Business Strategy and Decision-Making
Market analysis as knowledge-enhancement function, its use in internal politics, its abuse, and its ability to generate market understanding were recognised as the four key performance variables in market analysis. Profitability and bottom line may be increased, inefficiencies in corporate processes can be reduced, and other hidden insights can be uncovered by analyzing financial accounting transactions. The research focuses on the business strategy in decision-making using artificial intelligence. Reviewing existing research and providing recommendations. In this study, firstly collect the dataset finance data from Kaggle for the better-trained model. After that perform the pre-processing data for outlier removal. The implementation work is complete on the Python programming language. The results showed that the proposed KNN, the Decision tree model, achieved high accuracy. Businesses and organisations working in the field of artificial intelligence (AI) might greatly benefit from this research in terms of narrowing down the profiles that are certain to avoid in the future. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Impact of artificial intelligence on consumer online purchase intention
Artificial intelligence (AI) is rapidly weaving itself into the fabric of online shopping as the digital landscape evolves, having a significant impact on consumer online purchase intention (COPI). This influence manifests itself in a variety of ways, ranging from personalized product recommendations curated by AI algorithms to seamless user experiences (UX) crafted through AI-driven optimization. Recommendation engines anticipate our desires by analyzing previous purchases and browsing behavior, relieving decision fatigue, and potentially nudging us towards that coveted purchase. Chatbots and virtual assistants, tireless digital companions, provide 24-hour support, increasing convenience and accessibility and thus increasing COPI. This AI-infused journey, however, is not without its challenges. Concerns about data privacy, algorithmic bias, and the ambiguity of AI decision-making can erode consumer trust, potentially impeding COPI. Ethical concerns about data manipulation, discrimination, and unfair data practices raise red flags, calling for transparency and responsible AI implementation. The key to unlocking a sustainable future for e-commerce is striking the right balance between harnessing the power of AI and mitigating its potential pitfalls. E-commerce companies must prioritize trust by being transparent, ensuring responsible AI practices, and confronting ethical concerns head on. Only then will they be able to harness AI's transformative power to foster a thriving online shopping environment in which COPI thrives alongside consumer trust and well-being. 2025 by IGI Global Scientific Publishing. All rights reserved. -
IMPACT OF ARTIFICIAL INTELLIGENCE ON E-BANKING AND FINANCIAL TECHNOLOGY DEVELOPMENT
Artificial intelligence has a significant impact on financial technologies. Machine learning is an important field of artificial intelligence. Machine learning is a subset of artificial intelligence. According to client knowledge gathered by machine learning, data structures may be more easily comprehended and changed. Machine learning, although still being employed in the IT business, has its own set of benefits. They are used by computer program to explain or solve a typical issue because they are a set of well-written instructions. Data inputs for factual research may be prepared by computers using master learning algorithms that can deliver results within a certain range. Computers are used to model test data, and frameworks are used to make automated decisions based on input data. Banks and financial institutions may benefit from the use of machine learning. This article discusses applications of machine learning in banking and finance sector. The Electrochemical Society -
Impact of Artificial Intelligence on the Social Media Marketing Strategies
The use of social media is increasing as the use of smartphones is increasing, various applications on smartphones are now becoming good platform for market. As the use of smartphones is increasing the use of different artificial intelligence (AI) technologies making the phones smarter. The social media is now one of the most globally crowded platforms with millions of users. Most of the businesses are now turning their marketing strategies by highlighting the digital marketing from various platforms. Thus, the focus of study is to find the increasing impact of AI on the social media related marketing strategies. Different studies highlight the different impacts of social media and marketing using different AI tools and platforms which makes customer to find the best product as per their choice. So, social media marketing has become simpler and more adaptable thanks to the development of artificial intelligence. 2024 IEEE. -
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Impact of Behavioural Biases, Emotional Intelligence and Financial Literacy on Financial Behaviour
Behavioural finance is the integration of finance and psychology. Finance pertains to the administration of finances by an individual, while psychology involves the examination of the mind and human conduct. Behavioural finance provides a reasonable explanation for the abnormalities observed in financial markets and the irrational decisions made by investors. The foundation of behavioural finance lies in the irrational choices made by individuals, which elucidates the reasons for investors frequently encountering different biases, emotional filters, and a lack of knowledge when making financial decisions. The primary challenges stem from three critical deficiencies: the investors' inability to express their cognitive and emotional biases, insufficient financial knowledge, and an inability to regulate emotions during financial decision-making. This study investigates the influence of investors' financial literacy, emotional intelligence, and behavioural bias on their financial conduct. Studies have shown that behavioural biases negatively impact financial behaviour. Financial literacy and emotional intelligence have been recognised as critical elements that significantly impact the financial behaviour of salaried class investors. -
Impact of bioconvection on the free stream flow of a pseudoplastic nanofluid past a rotating cone
In the current work, the repercussions of Brownian motion and thermophoresis on the three-dimensional free stream flow of tangent hyperbolic (pseudoplastic) nanofluid past a rotating cone are explored. The tangent hyperbolic model expresses the characteristics of a shear-thinning nanofluid. Furthermore, oxytactic microorganisms were used as mixers to actively stabilize the nanoparticles. The movement of these microorganisms within the nanofluid gives rise to a major phenomenon termed bioconvection. The flow of nanofluid past a rotating cone finds applications in the field of nuclear reactors, biomedical applications, solar power collectors, steam generators, and so on. The mathematical model is designed using Buongiorno's model that describes the two major slip mechanisms experienced by the nanoparticles moving within a fluid namely thermophoretic force and Brownian motion. The model thus formed is nondimensionalized using the apt similarity transformation. The resulting system is solved by the (Formula presented.) technique by adapting the shooting method. The velocity, temperature, concentration, and motile density profiles are graphically interpreted for different flow parameters involved in the study. It was observed that thermophoresis reduces concentration and enhances the temperature whereas Brownian motion enhanced both temperature and concentration profiles. Also, the increase in the mixed convection parameter effectively decreased the temperature of the nanofluid. 2022 Wiley Periodicals LLC. -
Impact of blended education system on outcome-based learning and sector skills development
An effective education system transforms the teaching and learning process into innovative idea generation and independent working ability. A blended education system is the representation of effective education that connects the teachers, students, and educational institutions for content development, delivery of effective teaching methods, and choice-based learning. The motive for initiating the research work was to address the demand for outcome-based learning in society that can fulfill the sector-wise human resource requirements and sector skill development. A blended education system helps to design effective courses and degrees with the capacity of choosing subjects, lectures, and teachers either in online or offline mode of education. The system may also assist in preparing the learning pattern like classroom-based learning, internship-based learning, or learning through project works. The researchers identified the dependent and independent variables with the help of expert opinion. The questionnaire was designed with all relevant questions based on the variables and refined through a pilot study. The research outcomes are described by understanding the nature of quantitative data using statistical tools like frequency distribution, t-test, and ANOVA test with the connectivity of qualitative data and the reality of social issues. 2023 IEEE. -
Impact of Blockchain Technology in the Healthcare Systems
The healthcare industry is one of the most important industries in the world which is in dire need of a restructuring process because of its poor and outdated techniques of data management. Healthcare system has adopted a centralized environment and deals with a lot of intermediaries which makes it prone to issues of single point of failure, lack of traceability of transactions, and privacy issues such as data leakage. Blockchain is a relatively new technology which is able to tackle the obsolete methods and practices existing in the healthcare industry. In this chapter, we analyzed the applications of blockchains in the healthcare industry which can solve the issues prevalent in the healthcare industry. The aim of this chapter is to reveal the potential benefits that comes from using blockchain technology in the healthcare industry and identify the various challenges that this technology has. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Impact of boundary conditions on Rayleigh-Bard convection: stability, heat transfer and chaos
The paper compares the results of Rayleigh-Bard convection problem for rigid-rigid-isothermal, rigid-free-isothermal and free-free isothermal boundaries. A minimal Fourier-Galerkin expansion yields the generalized-Lorenz-model whose scaled version is reduced to the Stuart-Landau-model using the multiscale-method. Nusselt number is estimated for both steady and unsteady regimes. Regular, chaotic, and periodic natures of the solution are studied using the Hopf-Rayleigh-number and by means of a bifurcation diagram. The linear and weakly-nonlinear-analyses reveal that the onset of regular and chaotic motions in the case of rigid-free-isothermal boundaries happens later than that of free-free isothermal boundaries but earlier than rigid-rigid-isothermal boundaries. It is shown that the scaled-Lorenz-model possesses all the features of the classical-Lorenz-model. Beyond the value of the Hopf-Rayleigh-number, we observe chaotic-motion between two consecutive spells of periodic motion. It is found that one can also have a window of periodicity for all three boundaries. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Impact of brand perception, brand credibility, and product knowledge on consumer loyalty
This chapter aims to examine and explain the impact of brand perception, credibility and product knowledge on customer loyalty.A strong brand is very crucial for differentiation, establishing an emotional and positive relationship with customers and driving growth in such competitive and saturated market. Brand is more than a product or a service, its always showcase the stories and have lots of memories that drive the customer trust and loyalty towards brand. Though brand loyalty influenced by complex factors, including cognitive, affective and behavioral dimensions in order to understand dynamics of brand loyalty and how businesses might do effective branding initiatives that resonate with customers . This study investigates the complex relationship between brand image, identity, trust and product knowledge and their impact on customer satisfaction, loyalty and retention. The findings of this chapter will provide valuable insights to marketers and practitioners seeking to enhance brand loyalty and drive business growth. 2025, IGI Global Scientific Publishing. -
Impact of Brexit on bond yields and volatility spillover across France, Germany, UK, USA, and India's debt markets
Britain's decision to exit the EU lead to disruptions in global markets. This study investigates the change in the return and volatility spillover pattern due to the repercussions of the Brexit vote between the US, France, the UK, Germany, and India's 10-year government bond yields by applying the VAR and GARCH-BEKK models. The findings demonstrate a substantial rise in the return spillover to India and USA 10-year government bond yields following the Brexit vote compared to the pre-Brexit vote era. In addition, the results showed evidence of unidirectional volatility spillover from India to France, bidirectional volatility spillover between the USA and India, and unidirectional volatility spillover from the UK to India 10-year government bond market post-Brexit vote. However, there was no interconnection between these markets before the Brexit vote. Therefore, the Brexit vote did affect and significantly increased the linkage between the US, France, the UK, and India's 10-year government bond market. The increase in correlation in India-US, India-UK, and India-France's 10-year government bond markets will help predict and have an important implication for hedgers, decision-makers, and portfolio managers if similar political events occur in the future. Sangeetha G. Nagarakatte, Natchimuthu Natchimuthu, 2022. -
Impact of Carbon Nanofiber Fillers on Surface Finish and Dimensional Accuracy in FDM-printed Polymer Composites Parts
This paper examines the effect of carbon nanofiber (CNF) reinforcement on the surface finish and dimensional accuracy of the polylactic acid (PLA) composite produced using fused deposition modeling (FDM). Twin-screw compounding was used to prepare PLA-CNF composite filaments with 03wt.% CNF with extrusion of filaments (L/D ratio 30:1, 120rpm). To prepare rectangular specimens (10 10 20mm), the filaments were printed with the nozzle size of 0.4 mm, the layer thickness of 0.1 mm, the infill density of 100%, and the print speed of 5 mm/s. Dimensional accuracy was assessed by a digital vernier caliper with a resolution of 0.01 mm, and surface roughness (Ra) was measured by a digital surface tester that was stylus-based. Every measurement was averaged three times, and the statistical examination of percent deviation and variance analysis of compositions was done. Findings show that CNF addition was important with respect to the dimensional stability and surface finish. The volume variation of the print decreased to 0.20% of PLA/3 wt.% CNF compared to 0.30% of neat PLA, which is a 33% smaller variation of the dimensional accuracy. The surface roughness also reduced as 0.70 ?m of neat PLA was reduced to 0.42 ?m of PLA/3 wt.% CNF, which is a 40% decrease. It was statistically tested that trends of consistent improvement were observed between compositions. The findings indicate that CNF reinforcement results in a higher level of geometric accuracy and less surface morphology in FDM-printed polymer composites. 2026 World Scientific Publishing Company. -
Impact of catchment, direct to consumer advertisement on consumer buying intention: Retailer and consumer aligned perspective from Indian pharmaceuticals industry /
Internaional Journal of Management Studies, Vol.6, Issue 1, Part 5, ISSN No: 2249-0302. -
Impact of Celebrity Credibility in Social Advertising: A Systematic Review of Rahul Dravids Anti-tobacco Campaign Endorsement
Tobacco cessation programs have had their share of hits and misses. While state-controlled organizations invest in such programs every year, it is hard to trace their effectiveness. This is a bigger challenge when celebrities are enrolled to endorse such programs. Several studies that track celebrity endorsements for marketing commercial products have validated the influence of celebrities on brand-related outcomes. This study provides a systematic review of a celebrity endorsement of an anti-tobacco advertisement. To conduct a systematic review of a celebrity endorsement, we examined the responses of celebrity fans on source (celebrity) credibility factors and their attitude towards the social cause endorsement. A sample of 258 celebrity fans was surveyed using a questionnaire. The survey instrument contained a 15-item scale to measure celebrity factors of physical attractiveness, expertise and trustworthiness. Further, demographic details, social media activity and cigarette consumption details were captured along with cognitive and affective responses towards the anti-tobacco endorsement featuring the celebrity. It was found that physical attractiveness and trustworthiness of the celebrity were found to be influencing the attitude of the fan towards social cause. In addition, the study revealed the significant influence of education on attitude towards social cause in contrast to age and gender as evident in previous studies. The study provides very important insights for advertisers of social causes on effective use of celebrities as part of their communication campaigns. 2021, School of Management Sciences. All rights reserved.