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A Case Study on Zonal Analysis of Cybercrimes Over a Decade in India
Human intelligence has transformed the world through various innovative technologies. One such transformative technology is the internet. The world of the internet, known as cyberspace, though powerful, is also where most crimes occur. Cybercrime is one of the significant factors in cybersecurity, which plays a vital role in information technology and needs to be addressed with high priority. This chapter is a case study where we analyze cybercrimes in India. The data collected from NCRB for 2010 to 2020 are a primary source for the analysis. A detailed analysis of cybercrime across India is done by dividing locations into seven zones: central, east, west, north, south, northeast, and union territories. Cybercrimes reported in each zone are examined to identify which zone requires immediate measures to be taken to provide security. The work also identifies the top ten states which rank high in cybercrime. The main aim of this chapter is to provide a detailed analysis of crimes that occurred and the measures taken to curb them. Along with the primary data, secondary data from CERT-In are also used to provide an analysis of measures taken for handling cybercrime over a decade. The outcome facilitates various stakeholders to better bridge the gap in handling cybercrime incidences, thus helping in incidence prevention and response services as well as security quality management services. 2023 selection and editorial matter, Narasimha Rao Vajjhala and Kenneth David Strang; individual chapters, the contributors. -
Persuasive techniques used by advertisers in television commercials /
The purpose of this research is to observe the persuasive techniques used by advertisers in television commercials focussing on eight different advertisements belonging to four different categories. The researcher concentrates on the different components utilized by promoters to summon passionate reaction on the viewers/consumers. The commercials chosen by the researcher depict essential connections that are esteemed and kept up in the society. -
How deepfake technology impacts public trust in fiscal policies?
The proliferation of Deepfake technology, with its unparalleled ability to fabricate hyper-realistic audiovisual content, poses a profound and multifaceted threat to the integrity of public discourse and the perceived veracity of governmental communications, particularly in the domain of fiscal policy, as it engenders a pernicious erosion of trust, fuels scepticism regarding the authenticity of official statements, and amplifies the vulnerability of the populace to disinformation campaigns, thus undermining the foundational tenets of democratic governance, exacerbating the opacity of fiscal decision-making processes, and destabilizing the delicate equilibrium between transparency, accountability, and citizen confidence in state-managed economic stewardship. Keeping this in mind, the present study endeavours to assess the impact of deepfake technology on public trust in economic policies by taking a sample of 134 respondents from the Mumbai region of India. The results indicate a significant negative relationship between exposure to Deepfake technology and public trust in fiscal policies implying that Deepfake technology leads to an erosion of public trust in fiscal policies of the government calling out for appropriate steps that must be taken to counteract the derogatory effects of Deepfake technology. 2025 Nova Science Publishers, Inc. All rights reserved. -
Human Resource Development and Economic Growth: Leveraging India's Youthful Population
This empirical investigation employs a multivariate time series framework utilizing the Vector Error Correction Model (VECM) to unravel the intricate long- run equilibrium and short- run dynamics among GDP, youth population, and youth literacy in India for the time- period 1990 to 2024, revealing through Johansen cointegration test the existence of two statistically significant cointegrating vectors, with normalized equations underscoring the pivotal elasticity- driven relationships between economic growth and demographic- literacy indicators, while adjustment coefficients demonstrate the system's endogenous correction mechanism toward long- run equilibrium, and the impulse response and variance decomposition analyses substantiate the dominance of literacy shocks in driving GDP variability over extended horizons, thereby yielding profound macroeconomic implications for policy formulation directed at enhancing human capital and ensuring sustainable. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Economic Inequalities Amidst Social, Political, and Environmental Crises in BRICS Countries
This study investigates the complex interplay between economic inequalities and the intertwined social, political, and environmental crises within BRICS countries by empirically analyzing panel data from five nations to assess how women's income, political stability, and CO2 emissions influence wealth concentration among the top 10 percent, revealing through rigorous application of pooled OLS, random effects, and fixed effects models that environmental degradation measured by CO2 emissions is the sole significant and robust predictor positively associated with increased wealth disparity, while social and political variables show no statistically significant effects, thereby underscoring the urgent need for integrated policy frameworks in BRICS that prioritize sustainable environmental reforms alongside inclusive socio-political strategies to effectively mitigate growing economic inequalities and promote equitable and sustainable development in these rapidly evolving economies. 2026, IGI Global Scientific Publishing. All rights reserved. -
Geographical Approaches to Global Sustainable Development Goals in BRICS Countries
Geographical factors play a key role in the realization of SDG's across all countries of the world. Present study is an endeavor in this direction and attempts to evaluate the impact of urbanization, agriculture, and water resource availability on the achievement of sustainable development of BRICS nations. The study employs Panel data analysis using Fixed Effects Model (FEM) and Random Effects Model (REM) along with the application of Hausman Test to determine the appropriate model selection. The results reveal that urbanization significantly enhances SDG progress, agriculture shows an insignificant effect, and water resource availability negatively impacts sustainability, indicating the urgent need for strategic urban planning, agricultural reforms, and efficient water management. The study also highlights that country-specific factors play a critical part in shaping sustainability outcomes, reinforcing the necessity for BRICS policymakers to adopt geographically tailored approaches that align economic growth with environmental sustainability. 2026, IGI Global Scientific Publishing. -
Leveraging Green Finance for Sustainable Development: An Empirical Analysis of Economic Growth and Environmental Sustainability of Asian OECD Economies
Present study investigates the impact of Green Finance and CO2 emissions on GDP per capita of four Asian OECDeconomies controlling for Expenditure on Education, and Foreign Direct Investment using panel data for the time-period 2015 to 2023, applying pooled OLS, Fixed Effects, and Random Effects Models, and ultimately selecting the Fixed Effects Model based on robust statistical tests (Hausman and Breusch-Pagan LM), revealing that Green Finance significantly enhances GDP per capita, Expenditure on Education unexpectedly hinders it in the short term, and both CO2 emissions and Foreign Direct Investment lack statistically significant effects within countries, thereby underscoring the importance of internal structural factors and advocating for tailored, sustainability-driven, and context-sensitive economic growth strategies. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development. -
Exploring the influence of immersive technologies on purchase behavior in the real estate sector: a cognition-affect-conation model approach
Purpose This article explores the role of immersive technologies and their influence on an individual's purchase behavior using cognition-affect-conation model. This article aims to investigate the role of virtual reality in the real estate sector to examine the effect on users' Investment Behavior unpinned by signaling theory. Design/methodology/approach The responses were recorded using a standardized instrument from 404 respondents. The responses were collected from the Delhi NCR region, where respondents recently visited the real estate offices and taken a virtual tour of their future dream house. Partial least squares-structural equation modeling (PLS-SEM) was applied to test the proposed hypotheses. Findings The findings of the study revealed a significant relationship between user immersiveness, virtual presence, user engagement, perceived realism and purchase intention. The moderating role of technological self-efficacy was also measured, and the relationship between perceived realism to purchase intention was significantly moderated. Surprisingly, there was no moderation of technological self-efficacy between user engagement and purchase intention. Practical implications The research article enables real estate companies to frame specific strategies and gain benefits from the information shared by the users. Real-time experience allows companies to understand the customers' needs and develop or customize their future houses accordingly. Originality/value Exploring the relationship between user immersiveness, virtual presence, user engagement, perceived realism, technological self-efficacy and purchase intention in the Indian real-estate sector is a relatively novel idea. Prior literature showed a dearth of research focused on technological self-efficacy's role through the signaling theory lens and underpinned through the CAC framework. These empirical findings help organizations to develop customized strategies. Emerald Publishing Limited -
Effect of heavy metal stress on biochemical and antioxidant efficacy of Chamaecostus cuspidatus
Chamaecostus cuspidatus, commonly known as insulin plant is medicinally important and a rich source of several secondary metabolites which exhibit pharmacological properties. In the present study, three different heavy metals (Pb, Cu and Cr) with different concentrations (Pb and Cr-50, 100, 150, 200 and 250 ppm and for Cu 25, 50, 75, 100 and 125 ppm) was used for heavy metal treatment and its impact on several biochemical and antioxidant parameters was measured of the test plant along with control. Current study mainly focuses on the biochemical and antioxidants estimation of root and rhizome of C. cuspidatus. Protein, proline and carbohydrate content was increased in the treated groups. Total phenol and total flavonoid content were also found to be increased in all the treated groups. Both enzymatic (SOD, CAT, APX) and nonenzymatic antioxidants (DPPH, FRAP and total antioxidant activity) was measured. Antioxidant activity was also high in the treated groups. Highest DPPH activity was found in Cu 25 treated rhizome 91.8030.157 and lowest was observed in Pb 50 treated root 4.5530.240. Highest reducing power activity (FRAP) was observed in Cr 100 treated rhizome 0.75860.0008 and least was found in control root 0.2090.0005. Heavy metals accumulation was also measured and maximum heavy metal accumulation was found in soil following by root and rhizome of all the treated groups. 2024, Indian journals. All rights reserved. -
Functional Foods: Exploring the Health Benefits of Bioactive Compounds from Plant and Animal Sources
"Let food be the medicine"(Hippocrates) is a historic quote that became the basis of food science and nutraceuticals. Due to their possible therapeutic advantages, extracts from food have attracted much interest in the medical community. These extracts are abundant in bioactive compounds, which are natural molecules that may be found in various foods and have been demonstrated to affect health positively. Food components have lots of bioactive components, including primary and secondary metabolites and nutritional components, for example, carbohydrates, proteins, vitamins, minerals, fatty acids, antioxidants, phenolics, and flavonoids. This study's primary focus is on the make-up and purpose of these bioactive components found in food extracts. This review aims to give readers a thorough grasp of the bioactive substances found in food extracts and their possible physiological uses. These bioactive substances' functional traits, such as their antioxidant, anti-inflammatory, antibacterial, anticancer, and neuroprotective actions, are also studied. Further research is required to create new functional foods, nutraceuticals, and dietary supplements with specific health advantages that can benefit from understanding these molecules' structure and function. 2023 Versha Dixit et al. -
A Comprehensive Investigation of Blockchain Technology's Role in Cyber Security
In recent years, blockchain has become an extremely trending technology, capable of solving a variety of problems. One of these domains is cybersecurity, where blockchain technology has a huge scope. To dive deeper into this topic, we first need to understand the cybersecurity domain, the need for this field, and how it has become crucial to the current Information-Technology industry. Once we have a good understanding of the field of cybersecurity, we next focus on blockchain technology, its basic working process, and what makes it a trending infrastructural technology in today's world. The basic idea about the field of cybersecurity and blockchain technology can help us understand how the two different fields can be integrated to solve several problems in the cybersecurity domain. Eventually, we discuss the pros and cons of blockchain technology in cybersecurity and how the integration of the two different fields can make a difference. This study aims to explore various possibilities where blockchain technology can be utilized in several applications to solve a variety of problems in the field of cybersecurity. 2023 IEEE. -
Theoretical Framework for Integrating IoT and Explainable AI in a Smart Home Intrusion Detection System
Using IoT devices in smart homes brings benefits and security dangers. This study extensively examines various intrusion detection methods within smart home environments. It also suggests a novel hybrid intrusion detection theoretical framework integrating IoT data with Explainable Artificial Intelligence (XAI) approaches. Using information from multiple IoT devices, including motion sensors, door/window sensors, cameras, and temperature sensors, our theoretical framework can create a comprehensive image of the home environment. By effectively detecting new threats, it offers anomaly detection utilizing unsupervised learning approaches to discover potential breaches without tagged data. 2024 IEEE. -
Transformative pedagogy integrating bloom's taxonomy, David Kolb's experiential learning and neuro-systemic dynamics in learning
An application of Kolb's experiential learning theory (ELT) in real situations as a blend of Bloom's taxonomy of education is given as a case study conducted about more than 15 years ago. The world has changed since then with revolutionary developments in the techno-world. Student portfolio is regarded as the documentary evidence created by the student to diagnose the student's strengths and weaknesses to assist him or her in learning. In light of this case study and developments in technology, further scope in the application of the ELT model is discussed. It is also recognised that technology to facilitate experiential learning using virtual reality or augmented reality tools is to be made more user-friendly in terms of affordability and that neuroplasticity has an important role to play in this. A case for more research in neuroscience to analyse learning styles is raised. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
Big Data and Competition Law: A New Challenge for Competition Authorities
Big data has become a key role player for almost all kinds of markets specifically in a digital economy. It is a raw material as well as a by-product of any process. It has very comprehensive inclusivity to cover all aspects of the market having direct as well as indirect market effects. These effects are inclined towards consumerism and market transparency. But it has inherent dangers that are somehow overlooked by competition authorities. Competition law has dealt with the brick-and-mortar economy that is traditional in a very efficient way. However, this is not the case with the digital economy. Traditional notions of the market, abuse of dominant position, anticompetitive practices, and regulation of combinations cannot be made applicable to the digital economy in the same manner. Big data analytics enables big giants or corporations to establish their dominance in their relevant market. Google, Amazon, Facebook, and Apple have been dominating almost digital economy; hence their strategies are being scrutinized under the lenses of competition law once again. This paper deals with the interplay between big data and competition law, and it is going to explore the impact of this unavoidable aspect of big data on a highly competitive digital economy. 2024 Taylor & Francis. -
The Impact of Artificial Intelligence on Digital Employee Engagement
Purpose: This study aimed to investigate the impact of artificial intelligence (AI) on digital employee engagement, focusing on the roles of job autonomy and digital learning orientation. It sought to understand how these factors influenced employee engagement in a digital environment and the extent to which the meaningfulness of work mediated these relationships. Design/Methodology/Approach: Data were collected from 527 individuals performing administrative jobs in the private service sector. The study utilized partial least squares structural equation modeling (PLS-SEM) to test the proposed relationships among job autonomy, digital learning orientation, and digital employee engagement with mediation of meaningfulness of work. Findings: The findings indicated that job autonomy and digital learning orientation significantly and positively predicted digital employee engagement. However, the meaningfulness of work did not mediate the relationship between job autonomy, digital learning orientation, and digital employee engagement. The results of this study found that there was no significant relationship between the meaningfulness of work and digital employee engagement. This study also found that when the employees used digital tools, they often experienced feelings of loneliness and insecurity. Practical Implications: The study suggested that the organizations role should always be focused on promoting digital tools. Organizations should emphasize enhancing job autonomy and encourage employees to engage in digital learning orientation, boosting digital employee engagement in the workplace. Originality/Value: This study contributed to the literature considering the role of AI applications that directly influenced digital employee engagement by addressing the significant roles of job autonomy and digital learning orientation. It also emphasized the need for future research to explore the impact of the meaningfulness of work and the dependence on digital tools for employee performance. 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
ANALYSIS, ASSESSMENT, AND MANAGEMENT OF ENVIRONMENTAL AIR POLLUTION USING ENVIRONMENTAL ENGINEERING IN DEVELOPING COUNTRIES
Recent studies underscore the value of contemporary technology and gas emissions mitigation while overlooking the necessity of optimal fuel in Developing Countries (DC). DC's historical economic expansion has significantly depended on fossil fuels, resulting in severe environmental air pollution (EAP) challenges. The separation of economic progress from pollution has been the central emphasis in advancing environmental civilization in emerging countries. This study presents an analysis, assessment, and management of EAP using environmental engineering (EE) in DC. This work has examined the evolution of EAP regulations in DC, emphasizing a strategic shift from emission regulation to Air Quality Management (AQM). The regulation of Sulfur dioxide (SO2) emissions addressed the worsening of acid rain in DC. Since 2015, regulatory measures across several sources and industries have aimed to decrease the total amount of Fine Particulate Matter (FPM2.5), signifying a shift towards an AQM-focused policy. Escalating ozone (O3) pollution necessitates integrated management measures for O3 and FPM2.5, focusing on their intricate photochemical reactions. Significant enhancement of AQM in DC, as a crucial metric for the efficacy of sustainable economic development, necessitates the profound carbon reduction of the DC's energy infrastructure and the establishment of more integrated strategies to tackle EAP and climate change in DC concurrently. 2024, Rotherham Academic Press Ltd. All rights reserved. -
Effect of Phonological and Phonetic Intervention on Proficiency in English Pronunciation and Oral Reading Among Bengaluru Teacher Trainees
The current research aimed to determine the effect of phonological and phonetic intervention in enhancing proficiency in English pronunciation and oral reading among teacher trainees. The study adopted a single-group pre and post-test intervention design. The researcher developed intervention modules on phonology and phonetics, and a segmental approach was adopted to teach individual sounds. The research design was executed in five stages: experts' opinions on the need for such a study, a preliminary study to find the need for the study, the development of intervention modules and validation of the modules, the pilot study to check the reliability of the tools, and the main study. The researcher applied Oscillo-graphic and observation methods to analyse and test the participants' pronunciation and oral reading progress during the experiment. Communicative Language Learning (CLL) and Audiolingual approaches were adopted to teach individual sounds to participants. The National Assessment of Educational Progress Scale for Reading and Pronunciation (NAEP 2012) was adopted to measure the scores. The other instruments, i.e., audio-to-test phonetic transcription software and Audacity recording software, were used in the experiment to record and analyse the audio clips. The experiment was conducted on n=104 teacher trainees of Bengaluru, India. The current study targeted teacher trainees/ B Ed college students of English method as a population. The population of teacher trainees was 1470 English methods from Bangalore north, south, and central. Further, the sample size for the main study was 104, and it was selected through a stratified random sampling technique. The assessment tools overall reliability (Cronbach Alpha value) (NAEP) on Pronunciation and Oral reading is 0.873. The data normality was tested with the Kolmogorov-Smirnov test. The data EFFECT OF PHONOLOGICAL AND PHONETIC INTERVENTION was normally distributed. Hence, the data was not normally distributed; the non- parametric tests were used to test the hypotheses. The hypotheses testing on phonological and phonetic awareness revealed the difference between pre- intervention and post-intervention scores in phonological and phonemic awareness and oral reading among teacher trainees, the sig. Value is less than 0.05 across all the attributes. The Wilcoxon signed rank test revealed the scores after the intervention, a post-test with a statistically significant value of 0.001. The post-test score, which was after the intervention, is significantly higher. The values across all the attributes related to oral reading and pronunciation with a statistically significant value of 0.001. The other hypotheses testing on gender, age, and qualification, the Mann-Whitney test, and Kruskal Wallis were used, and the results were not statistically significant. The statistical test was used to test the progressive improvement of teacher trainees during the intervention, and it was statistically significant with 0.001 across all the attributes. The data analysis revealed a positive impact of intervention at the post-test on teacher trainees. The study has navigated the need for language proficiency among teacher trainees, especially in English pronunciation and oral reading. The study substantiates the evidence that effective intervention and teachers' knowledge of pronunciation would enhance proficiency levels in pronunciation and oral reading among teacher trainees. The study also hopes that Policy Makers, Universities, B.Ed. Colleges and teacher educators will be beckoned to use technology-integrated intervention to teach phonology and phonetics. -
Non-Accounting Drivers of Forensic Accounting Techniques: Insights from PLS-SEM Analysis
Forensic accounting techniques are pivotal in combating financial fraud and enhancing corporate governance. According to Forensic Accounting Theory, both accounting and non-accounting factors influence the intention to adopt these techniques. This study explores the impact of key non-accounting factors i.e. Bonus Contract, Anonymity, and Collapse Avoidance on adoption of forensic accounting techniques by the practitioners, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) and SmartPLS software. Data was collected from professionals across diverse industries utilising forensic accounting services. The results reveal that these non-accounting factors exert varying levels of influence on adoption intentions. This research enriches the existing body of knowledge by offering new perspectives on the role of non-accounting drivers in forensic accounting adoption, providing actionable insights for policy-makers, regulators, and corporate leaders. 2025 The Author(s). -
Unconventional Adjudication: Promise of Blockchain-Based Dispute Resolution
Blockchain technology is called disruptive technology. In the 1990s, the internet had the potential to revolutionize the entire industrial sector in the same way blockchain technology will change the face of society in the 2000s. Blockchain is the technology that also provides a platform for dispute resolution via smart contracts. The technology aims to create an anonymous and decentralized platform for transactions that do not require any state monitoring or intermediary. Blockchain is a decentralized network that generates an immutable record of transactions. A smart contract is a self-executing software application that executes a function automatically. When the prerequisites are met, the contract automatically takes effect. Blockchain-based dispute resolution (BDR) platforms provide services to resolve disputes resulting from blockchain and smart contract transactions, as well as traditional disputes unrelated to blockchain transactions. Blockchain-based DAO (decentralized autonomous organizations) are established, which are used to settle healthcare-related disputes between doctors, patients, insurance claims, etc. The blockchain platform offers unconventional processes for adjudication that are also distinct, unstructured, and unregulated. The platforms do not adhere to the accepted norms of alternative dispute resolution (ADR) and online dispute resolution (ODR) systems, raising concerns about the platforms authenticity and legitimacy, as well as the need for regulation. The purpose of this chapter is to examine the application of blockchain technology in dispute resolution and to comprehend regulatory issues. 2025 selection and editorial matter, Dr. Javaid Iqbal, Dr. Alwi M. Bamhdi, Dr. Bilal Ahmad Pandow, and Dr. Faheem Syeed Masoodi; individual chapters, the contributors. -
Blockchain and IoT Integration for Financial Sector Revolution
The Industrial Internet of Things (IoT) is transforming the globe. Industrial Internet of Things (IIoT) speaks about the use of Internet of Things (IoT) concepts and technology in industrial environments. The financial industry has long traded in the things that areintangible, from once-tangible but now-less-tangible items like stock certificates and even money itself. The Internet of Things (IoT) and blockchain technologythat offer and storedata aboutthings mighthave direct influence on how financial services institutions operate their businesses. The Financial Industry is adopting IoT for fast and effective transactions. The invention of disruptive technology like blockchain, which is a decentralized, unchangeable ledger makes tracking assets and record transactions easier. Decentralized Finance (DeFi) is based on the peer-to-peer idea that eliminates intermediaries from the system. It is possible to establish smart contracts, which will do away with the need for any middlemen. Due to the IoTs broad application and dispersed nature, security and privacy are the primary concerns in the financial sector. Blockchain is essential for IoT applications where data security and privacy are top priorities. Blockchain can secure data and keep the transactions private. IoT enhances business opportunities and offers firms a competitive edge in both established and developing industries. It has an impact on every aspect of technology, including the methods used to gather data and the locations, timings, and purposes for doing so. Since this data must be safeguarded, we need a standard blockchain-oriented architecture for IoT applications. The data generated by the financial industry is crucial because it establishes future market trends and preserves data on consumer and investor investments. Financial data is vulnerable to assaults and needs to be protected. This paper explores the need for regulations and policy in this area and attempts to understand how blockchain technology can be used to overcome barriers to IoT adoption in the financial sector. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.