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Exploring the impact of influencer marketing strategies on sustainability in the fashion industry
Social medias explosive expansion has forced firms to rethink their marketing tactics to communicate with a wider range of customers by providing value and enabling two-way dialogue. Influencers may contribute to increasing brand awareness and giving value to companies when they work with brands and the appropriate target audience. This study aims to evaluate the influence of source credibility dimensions such as trustworthiness, attractiveness, and perceived expertise on consumer attitudes toward fashion influencers and to assess how these attitudes impact consumers intentions to make purchases and provide recommendations. Also, determine the direct impacts of source credibility on these purchase and recommendation intentions. The research includes 342 individuals who follow a famous fashion influencer in India by using the convenient sampling method. Hierarchical regression analysis has been performed on data using SPSS. The outcome of the study shows the effect of trustworthiness and perceived expertise on attitudes toward influencers in the fashion industry. Copyright 2025 Inderscience Enterprises Ltd. -
Artificial Intelligence: Economic Impact, Labor Productivity, and Policy Implications
Artificial intelligence (AI) is a transformative technology that changes automation and cognitive functions traditionally performed by humans. This research examines the various economic effects of AI, emphasizing its ability to enhance productivity and disrupt labor markets. AI, while it may have automated tasks, has also created new job opportunities and transformed existing roles. The rise of AI has led to significant economic disturbances, especially in terms of unemployment. Today, businesses are more inclined toward AI rather than a human workforce because it is more cost-effective and time-effective. This tendency is evident not only in the financial sector but also in education and e-commerce where the use of artificial intelligence has significantly improved service quality and productivity. However, this transition also presents challenges like joblessness and an educated workforce that rightly deserves strong policy frameworks that put ethical guidelines, global cooperation, and optimistic breakthroughs first while tackling social inequalities. In spite of advancements, further experiential research is required to grasp the consequences of these policy approaches completely. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Influence of Social Media Marketing on Student Decision-Making in Higher Education
This present study looks into the role of social media marketing as an important tool that helps organizations achieve their goals, bearing in mind the rapid spread in the modern digital world. Higher education institutions, such as colleges and universities, are making use of these social media channels: Facebook, Instagram, LinkedIn, and YouTube to share information regarding their academic programs, campus life, and even success stories. These websites have helped institutions to increase their access and engagement at the grass-roots level. It, thus, has also become an excellent tool to enroll prospective students. College or university search methods have undergone many significant changes in the present day. Over the centuries, students relied mainly on familial and social connections along with printed sources of information, to guide choices. Today, however, they increasingly use social media sites to research available choices, read reviews, watch multimedia and communicate with educational institutions. 2026 by IGI Global Scientific Publishing. All rights reserved. -
The peculiar radio-loud narrow line Seyfert 1 galaxy 1H 0323+342
We present a multiwavelength study of the radio-loud narrow-line Seyfert 1 galaxy (NLSy1) 1H 0323+342, detected by the Fermi Gamma-Ray Space Telescope. Multiband light curves show many orphan X-ray and optical flares having no corresponding ?-ray counterparts. Such anomalous variability behavior can be due to different locations of the emission region from the central source. During a large flare, a ?-ray flux doubling timescale as small as ?3 hr is noticed. We built spectral energy distributions (SEDs) during different activity states and modeled them using a one-zone leptonic model. The shape of the optical/UV component of the SEDs is dominated by accretion disk emission in all the activity states. In the X-ray band, significant thermal emission from the hot corona is inferred during quiescent and first flaring states; however, during subsequent flares, the nonthermal jet component dominates. The ?-ray emission in all the states can be well explained by inverse-Compton scattering of accretion disk photons reprocessed by the broad-line region. The source showed violent intra-night optical variability, coinciding with one of the high ?-ray activity states. An analysis of the overall X-ray spectrum fitted with an absorbed power-law plus relativistic reflection component hints at the presence of an Fe K? line and returns a high black hole spin value of a = 0.96 0.14. We argue that 1H 0323+342 possesses dual characteristics, akin to both flat-spectrum radio quasars (FSRQs) and radio-quiet NLSy1 galaxies, though at a low jet power regime compared to powerful FSRQs. 2014. The American Astronomical Society. All rights reserved. -
Integration of enterprise resource planning system as an effective technology for increasing business productivity
Enterprise Resource Planning (ERP) refers to a potential software, which organisations utilise for managing daily basis activities such as proper accounting, project management, compliance as well as procurement actions within organisational standards for achieving better business performance. This research focuses on understanding ways of ERP usage of businesses for enhancing potential procurement as well as accounting for assuring best performance achievement. Literature from different company reports and other sources has been implemented that brings out an understanding of productivity optimisation of organisations using ERP. It also focuses on illustrating different types of ERP along with assuring better data visibility aspects of the ERP usage for allowing consumers to view real time data while progressing with business relationships and enabling higher procurement standards. The research aims to investigate ways in which different types of ERP are used by organisations for assuring better accounting performance and procurement standards in their marketing environment. Hypothesis is a positive association between ERP utilisation and implementation in organisation and its accounting and procurement standards, achieving high performance in the competitive market. Methodology used in this research involves Exploratory research design with a probability sampling for bringing out best possible outcomes of the research. Sample sizes include secondary sources such as articles, journals and relevant company reports and databases for understanding ways in which ERP helps in attaining suitable accounting and procurement practices of businesses within organisational standards. Results as well as implications indicate an optimal relation of proper risk management through enhancing ERP and usage of most suitable ERP that assures best possible procurement and accounting practices for businesses to get competitive advantage in the market. 2024 Author(s). -
Dynamics of motivation in online education: Theories,techniques, and mediating factors
Online education is a process where learners encompass various subject areas, disciplines, and degree programs via an internet connection rather than in person. Online learning has become an essential part of delivering flexibility in education. The objective of the book chapter is to create and improve the motivational environment during online classes. It guides students who lack the motivation to achieve their degrees and educational objectives through online education. Students often need more motivation to succeed in the online and face-to-face teaching process. This chapter will focus on identifying the motivational factors, including intrinsic and extrinsic, that are essential for improving students' participation in online education which enables them to understand the importance and necessity of motivation for achieving their goals and desired degrees in any mode of instruction. This chapter will provide them techniques and technology that researchers have proved to be effective and improve the self-motivation factor for students to succeed in all modalities. 2023, IGI Global. All rights reserved. -
ANALYTICAL METHODS FOR TRAMADOL IN PHARMACEUTICAL AND FORENSIC CONTEXT A REVIEW
Tramadol is a centrally-acting weak opioid recept or analgesic and is a racemic mixture of (+)-tramadol and ()-tramadol enantiomers. Tramadol does not show many adverse severe effects without any dependency potential in therapeutic doses, as seen in other opioids only if not used for extended periods in doses higher than recommended. Symptoms of tramadol intoxication are similar to those of other opioid analgesics but may include serotonergic and noradrenergic components. Fatal intoxications are rare and appear synergetic with other drugs and alcohol. There is growing evidence of abuse of tramadol in many countries. Due to its extensive use in the medical field as an analgesic of choice, pharmaceutical analysis in both process and quality control is essential. Due to its abuse and overdose cases, forensic toxicological analysis of tramadol in body fluids and tissues is also vital in medico-legal practice. Tramadol and its metabolites are found in wastewater also. This analytical review (from 2016-2021) focuses on identifying and determining t ramadol in bulk dr ugs, formulations, forensic drug seizures, forensic toxicological specimens, and wastewater. The analytical methods covered include UV/Visible/IR spectrophotometric methods, thin-l ayer, gas and li quid chromat ographic met hods, electrochemical methods, GC-MS, LC-MS, LC-MS-MS methods, and electrochemical methods. The review will i nt eres t phar maceut i cal chemi st s, pharmacol ogis ts, biochemists, forensic chemists, forensic toxicologists, and environmental scientists. 2023, Medico Legal Society. All rights reserved. -
A comprehensive investigation of ethyl 2-(3-methoxybenzyl) acrylate substituted pyrazolone analogue: Synthesis, computational and biological studies
In this study, we successfully synthesized ethyl 2-(3-methoxybenzyl) acrylate-substituted pyrazolones derivative (EMH) through the reaction of Baylis-Hillman acetate with pyrazolones. We conducted comprehensive screenings to evaluate its invitro antifungal, antibacterial, and antioxidant properties. The molecule demonstrated notable in vitro antifungal and antibacterial activities attributed to the presence of anisole, enhancing absorption rates through increased lipid solubility and improving pharmacological effects. Structure-activity relationship (SAR) studies supported these findings. Additionally, insilico studies delved into the molecular interactions of the synthesized molecule with DNA Gyrase, Lanosterol 14 alpha demethylase, and KEAP1-NRF2 proteins, revealing strong binding interactions at specific sites. Furthermore, we employed ab-initio techniques to theoretically estimate the photophysical properties of the compounds. Ground state optimization, dipole moment, and HOMO-LUMO energy levels were calculated using the DFT-B3LYP-6-31G(d) basis set. The theoretical HOMO-LUMO values indicated high electronegativity and electrophilicity index. NBO analysis confirmed the presence of intermolecular ONH hydrogen bonds resulting from the interaction of the lone pair of oxygen with the anti-bonding orbital. Overall, our results suggest that anisole-substituted pyrazolones derivatives exhibit promising applications in both photophysical and biological domains. 2024 -
True and fair financial reporting: A tool for better corporate governance
Purpose - Transparency of financial information promotes corporate growth. The purpose of this paper is to concentrate on the need for strengthening the law governing true and fair corporate accounting. The first part of the paper concentrates on nexus between the importance of transparency in accounting embodied under the provisions of the Companies Act in India and in the UK. Second, the paper focuses on the board of director's duty to prevent corporate fraud through proper financial reporting. Design/methodology/approach - The methodology for this study is analytical. Comparative study of the law governing accounting provisions in India and UK is also looked into. Findings - The law governing financial transparancy envisaged under the Companies Act in India makes it obligatory on the part of the companies to disclose the material information relevant to the investors. However, the directors of the company often show an unreal picture of the financial position of the company, so as to retain the existing shareholders and to attract more investors. This can be avoided if the composition of audit committees in the companies includes a few representatives of shareholders who are competent to asses the true and fair view of the company accounts prepared by the auditors. Research limitations/implications - The focus of this research paper is mainly on the legal regimes and the accounting and auditing provisions of India and the UK. Originality/value - The paper shows that the Companies Act in India should strengthen the accounting provisions and it should mandate the compulsory observance of accounting standards. Emerald Group Publishing Limited. -
True and Fair Financial Reporting: A Tool for Better Corporate Governance
Journal of Financial Crime, Vol-19 (4), pp. 332-342. ISSN-1359-0790 -
Women on the Board of Indian It Companies: Are They Audible and Visible?
Gender disparity on the board of Indian IT companies is a continuing saga despite the Indian Companies Act, 2013 mandating at least one-woman director in the executive position of public listed companies. Women in India are leaders of varied sectors of businesses and on top leadership positions except in IT companies. This study has found that 14 out of 25 leading IT companies in India has, got not more than two women on the board of directors. It has also been found that the reasons for said nomination are due to the statutory compulsion to have women on board. Information technology companies are responsible for innovation, business growth, transformation and diversification. Strategic leadership is the key for IT companies to achieve the above-stated objectives. Inclusiveness in the economic reforms is possible when women are given adequate representation in entrepreneurship and leadership positions in all sectors of industries. This study aims at examining the causes of the inadequate representation of women in Indian IT companies. Paper has examined the following issues to analyse the above-stated proposition: (a) How far the Indian IT industry has contributed to the empowerment of Indian women? (b) Whether the employment terms and recruitment policies of IT companies are sufficient to ensure the security of tenure and promotion to women employees and do it incentives women employees contribution towards innovation in their respective companies? (c) What are the factors contributing to women taking up leadership positions in Non-IT Industries? (d) Whether family commitments are the reasons for women in the IT sector to decline leadership positions or whether male domination is a cause for women to be backward in IT companies leadership positions? (e) Should mandatory reservation of adequate percentage of seats for women in administration be uniformly applied also for employment of women in the IT sector and how far the practice followed in developed jurisdictions need to be incorporated under the Indian law? Enrolment of women in IT and business education is on par with their counterparts. Since women occupying leadership positions is negligible, the paper examines the challenges and proposes solutions to ensure gender equitable reforms in the leadership roles of Indian IT companies. Data related to board composition and shareholding patterns of Indian IT companies are looked into and analysed to identify whether women possess capital or management control in the Indian IT companies. To critique the role of women in other sectors of employment with that of the IT companies, data collected from the National Association of Software and Services Companies (NASSCOM) and Indian government-sponsored schemes are considered. The data are also collected from various sources such as Sustainability Reports of Wipro, Infosys, HCL, Dell, Accenture, Tata, Human Development Index (HDI), United Nations Department of Economic and Social Affairs (UNDESA). The data compiled reflect the factors that affect womens career progression in the Indian IT sector. This study has found that there is an absolute imbalance in terms of gender diversity on the boards of Indian IT companies. Reasons for the same are as follows: 1. Women who have excelled in technological education are not willing to take up leadership positions in IT companies due to the challenges and risks involved in this specific sector, 2. Family commitments and health issues are not conducive for women to dedicate the required time in managing corporate boards of IT companies, 3. Joint families and a patriarchal Indian system limits woman to undertake employment, 4. Women with liberal outlook and merit are not preferred as a choice by male leaders of IT companies due to the fact that they never want to be led by women, 5. The upskilling programmes organized by IT companies to their women employees are not sufficiently focused to promote women to leadership positions and 6. Excess share qualification for directorship prescribed by listed public companies is an impediment for women to be considered for executive positions. Paper suggests strategies and policies for the promotion of women employees to executive positions and ensuring the disclosure of diversity of corporate boards as a prerequisite to listing its shares. Secondly, it proposes to amend Companies Act, 2013 to prescribe a higher number of mandatory appointments of women on board to make it mandatory for women to be part of committees of the board mandated under the Companies Act. Thirdly, it proposes that the B-Schools admission policies should increase the intake of women candidates for management programmes so that they would possess the adequate competency to govern corporate boards of Indian IT companies. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Synergizing Insights for Precise Rice Leaf Disease Diagnosis Via Multi-Modal Fusion
Rice holds a significant position in India, especially in the southern part of the country, where people tend to eat some rice at least once a day. Farmers are facing a huge loss due to diseases in leaf, which is the main problem of agriculture. By using techniques like machine learning, main problems detection can be done. This review, discusses common plant diseases that affect the leaf. Some include Leaf Spots, Rusts, Fusarium Wilt, Early Blight, Powdery Mildew and Downey Mildew. Our research found that machine learning techniques on rice plants make finding diseases on leaves easier. Finally, we concluded that the most accurate method is the Enhanced VGG16, with an accuracy of 99.60% because it is really good at spotting diseases on rice leaves because it's great at recognizing the small details and patterns in leaf pictures. This helps it to tell the diseases apart more accurately and make fewer mistakes in identifying them. 2024 IEEE. -
Unmasking Fake Reviews: A Machine Learning Perspective
In the age of online shopping and digital information, product reviews play a crucial role in influencing consumer decisions. Fake product reviews are widespread and can mislead consumers, affect brand reputation, distort market dynamics and necessitate the development of robust techniques to identify and combat fake reviews, which is the focus of this project. The advent of machine learning has transformed several industries, and its capability to combat the issue of fake product reviews is equally significant. The problem is because of fake previews customers which are in huge confusion for not knowing what to believe. The goal is to develop a predictive model that can differentiate between authentic and fraudulent product reviews. In this project to detect fake product reviews, three preprocessing methods, two feature extraction techniques, and six classifications algorithms are used. In this proposed system, we acquired better accuracy 88.93% using SVM. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Examination of sustainability goals: A comparative study of U.S. and Indian firms
Considerable attention has focused on tactics firms use when building their sustainability platforms. Less is known, however, about how sustainability goal setting varies globally, especially in developing economies. Accordingly, we examined sustainability goals of 21 of the 50 largest Indian firms and compared them with similar data from a published study that examined 22 of the 50 largest U.S. firms. In total, 679 sustainability goals were analyzed using a triple bottom line framework. We found U.S. firms set more sustainability goals than Indian firms. Firms from both samples set similar numbers of people goals but U.S. firms set more diversity goals. Indian firms were more inclined to set economic and community development goals. We also detected differences across the samples in planet goals associated with emissions and water. Especially significant, Indian firms were much more likely than U.S. firms to specify profit goals. Implications for research and practice are discussed. 2019 Cambridge University Press and Australian and New Zealand Academy of Management. -
Biogenic Copper Oxide@rGO Nanocomposite for Decontamination of a Food Threat B. Cereus in a Rice Model
Pathogenic microorganisms have become a serious threat to human beings all over the world as they cause severe disease illnesses. This study used supercritical carbon dioxide as a green solvent to prepare a nanocomposite composed of copper oxide (CuO) nanoparticles dispersed on the surface of reduced graphene oxide (rGO). The resulting nanocomposite was examined using a various of alanytical techniques. The developed CuO/rGO nanocomposite exhibited potenail antimicrobial ability against a food pathogenic bacterium, Bacillus cereus. Additionality, it showed high toxicity towards B. cereus, confirmed by the means of fluorescent live-dead counting of cells. Its mechanistic role against a food meneac was confirmed by the means of time-kill ability (complete inhibition at 200min), cell membrane integrity (OD of control: 1.62; CuO/rGO: 3.78 at 60min), membrane uptake (Control: 27.21%; Cuo/rGO: 64.33%), and membrane potential ability (Control: 58.33; CuO/rGO: 24.12) towards B. cereus. Study of scanning electron microscopy analyse resulted in the membrane disruption of B. cereus by the nanocomposite. Moreover, the CuO/rGO nanocomposite inhibited in vitro biofilm formation ability (Crystal violet uptake - Control: 31.33%; CuO/rGO: 59.11%) of B. cereus. Furthermore, the nanocomposite coating was used as a rinse solution for rice bowl packages. Interestingly, a rinsing solution (20% and 4060min) significantly inhibited the CFU count of B. cereus in rice by 2.1 log cfu/g as compaered to control 6.2 log cfu/g. The outcomes highlight the effectiveness of nanocomposite coating against food menace B. cereus, suggesting that the developed nanocomposite could be applied as an effective antimicrobial marinade and/or a rinse for raw rice preservation aginst hazardous foodborne pathogens. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026. -
Analysis on thermal sensitivity of 2D Profilometer used for TMT Glass Polishing
TMT adopts Stressed Mirror Polishing (SMP) technology for the polishing of mirror segments. In this process, the meniscus type spherical shape glass blanks are converted in to a desired aspheric shape by spherical grinding and polishing in the stressed condition. After each grinding and polishing activity metrological measurements are done using different metrology tools. The metrology tool named as 2D-Profilometer is used for low frequency error/foam measurements. It consists of 61 high precision length gauges attached to Carbon Fiber Reinforced Polymer (CFRP) sandwiched Aluminum panel of diameter 1.6 meter in spiral direction. The coefficient of thermal of CFRP is very low however, a small delta temperature variation between the top and bottom sheet of CFRP of the panel will lead to panel bowing which will result in increasing power error. Hence, the objective this work is to analyse the thermal sensitivity of the 2D Profilometer. 2024 SPIE. -
Adoption of Fintech Towards Asset and Wealth Management: Understanding the Recent Scenario in India
The finance sector as a whole has seen a significant transformation as a result of technological advances, which has impacted how financial institutions function and how financial activities are carried out. Fintech is currently a facilitator and a disruptor. Today Fintech companies have the greatest influence on the wealth management industry financial technology, or Fintech, began with nimbler start-ups upending banks with their innovative methods, and later developed into the latter forging partnerships with banks to strengthen the whole financial services ecosystem. At the intersection of both money and technology, the term wealthtech was developed. Any digital solution designed to simplify wealth management procedures is referred to as digital wealth management solutions. The fintech sector, which also encompasses digital payments, regulatory technology, insurance technology, etc., includes wealthtech. Fintech in wealth management has created a paradigm change in the investing sector. Wealthtech's technology is disrupting the wealth management industry. This study analyses the recent development of the wealth management industry and financial investment in the digital Indian age. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023. -
A Voting Enabled Predictive Approach for Hate Speech Detection
In today's digital environment, hate speech, which is defined as disparaging and discriminating communication based on personal characteristics, presents a big difficulty. Hate crimes and the rising amount of such content on social media platforms are two examples of how it is having an impact. Large volumes of textual data require manual analysis and categorization, which is tedious and subject to prejudice. Machine learning (ML) technologies have the ability to automate hate speech identification with increased objectivity and accuracy in order to overcome these constraints. This article intends to give a comparative analysis of various ML models for the identification of hate speech. The proliferation of such content online and its negative repercussions on people and society are explored, as is the necessity for automated hate speech recognition. This paper intends to support the creation of efficient hate speech detection systems by performing a comparative analysis of ML models. Random forest records the best performance with higher accuracy and low response delay period for hate speech detection. The results will help enhance automated text classification algorithms and, in the end, promote a safer and more welcoming online environment by illuminating the benefits and drawbacks of various approaches. 2023 IEEE. -
COVID 19 fatalities burden in Asian countries: An analysis of pattern and determinants
Covid 19 pandemic has severe implications on health and life of people. Asia being the most populous region has higher fatalities burden. Health infrastructure, stringent preventive measures by the government and public participation through adhering to social distancing have influence to check on fatalities' burden. The level of Social capital as well as voters' participation in a particular country can have influence on containment of COVID cases and fatalities. In this context, the main objectives of this study are to analyse pattern and trend of death burden for 45 Asian countries and impact of stringency measures by government, and voters turnout ratio on death burden. However, for regression analysis only 32 countries are taken into account considering the availability of data for all variables. Multiple linear regression analysis is employed in a cross-sectional framework and Ordinary least square estimation technique with heteroscedastic adjusted standard errors have been used for estimation of coefficients. The results show that southern Asia contributes the highest share of fatality cases in total fatality cases of Asia with 71.43% share. It also has the highest share of confirmed cases in total confirmed cases of Asia with 71.72%. However, when we take the population into account, Western Asia leads in the share of confirmed COVID-19 cases and its associated fatality cases per million populations in Asia as compared to other Asian regions. The factors like health infrastructure and voters turnover ratio are found to be significant and potential in reducing the new deaths per million populations. Though the coefficient of Stringency index has been negative and it did not emerge to be significant in Asian countries. The COVID related fatalities in Asian region are urban centric and urbanization proxy is found to be positive and significant. Diabetes prevalence rate has some heterogeneous result and in the present study its coefficient is not in the hypothesized direction. The Countries should ramp up health infrastructure and necessary preparedness to deal with the subsequent waves and COVID related fatalities. Importance need to be given people's participation and their shared responsibilities in dealing with COVID cases and checking on fatalities. The realisation of social responsibility among the masses can lead to community participation and adhering to the protocols imposed by the government and helps in checking on spread of virus and associated death. 2022 The Author(s)