Browse Items (16481 total)
Sort by:
-
Can mobile banking apps usage contribute towards the environmental sustainability: a mediation analysis
In digital transformation, digital finance has emerged as an alternative to conventional financial services. Currently, digital financial aspects and environmental sustainability are urgent issues receiving research attention for environmental mitigation. This empirical research addresses digital finance on environmental sustainability through mobile banking app usage. It is among the convenient digital financial technologies developed in recent years for the benefit of various stakeholders. The current model integrated UTAUT2 with perceived security and environmental sustainability. The partial least square structural equation modelling was used to test the hypothesis and other statistical power. This paper provides sustainable perspectives encouraging the Indian tribals to adopt digital technology in financial transactions. The findings have several important policy implications for developing countries, particularly vulnerable populace and those settled in remote areas. This research confirms the positive relations of mobile banking app usage on environmental sustainability through a cross-sectional approach. Copyright 2022 Inderscience Enterprises Ltd. -
Can menstrual cups become an alternative to sanitary napkins? A critical analysis among women in bangalore city
The topic of menstrual hygiene is always considered as a taboo to speak out in the public and even women hesitate to discuss their feelings or experiences about the same. With the help of revolutionary product called Sanitary Napkins, many women were able to understand their menstrual pattern and maintain their personal hygiene effectively. However, there has been number of new products flooding the market that is eco-friendly as well as economical. One such product is Menstrual cups and this research paper primarily tries to understand the consumer awareness and the usage of menstrual cups as an alternative to sanitary napkins among women in Bangalore city. Since sanitary napkins result in generation of ample amount of wastes and possess the risk of health hazards like TSS,UTI and yeast infections; this research focuses on understanding how women are ready for adopting eco-friendly method like menstrual cups. To understand the same, a sample of 138 women respondents were taken for the study from different age groups, educational qualification and income groups and were asked to fill a questionnaire. Their perception on menstrual hygiene, menstrual cup awareness and its usage are recorded, analysed and interpreted with the help of SPSS. 2019, Indian Journal of Public Health Research and Development. All rights reserved. -
Can LLMs Reliably Predict Personality Traits Through Prompt Engineering? Introducing Expert-Chain-Hypothesis Prompting
The prediction of personality traits from natural language is a long-standing challenge at the intersection of artificial intelligence and psychology. Traditional approaches have largely relied on handcrafted features, custom labelled datasets, supervised learning models or pretrained embeddings. However, relatively fewer studies have explored the potential of large language models (LLMs) through prompt engineering. This study investigates the capability of LLMs to reliably predict the Big Five personality traits from unstructured textual input using prompt-based methods. We introduce Expert-Chain-Hypothesis prompting, a psychology informed prompting technique that mirrors the decision making workflow of human experts within LLMs. Using the Essays dataset, we evaluate zero-shot prompting, few-shot prompting, chain-of-thought prompting and the proposed method on GPT - 4o. Experimental results demonstrate that the proposed prompting technique achieves superior overall performance; with a macro F1 score of 0.759, micro F1 score of 0.750 and the lowest reported hamming loss of 0.280. Our findings suggest that while prompt engineering techniques hold significant promise for personality prediction, challenges remain in fully capturing the subtleties of all personality traits. The Author(s) 2026. -
Can leaders transform humiliation into a creative force? /
Journal Of Leadership Studies, Vol.9, Issue 3, ISSN No: 1935-262X. -
Can Leaders Transform Humiliation Into a Creative Force?
The intractable group conflicts, mass killings, and genocides around the world attest to the role of humiliation as a negative force causing violence and destruction. Based on the analysis of the speeches of Dr. B.R. Ambedkar, the most important leader of Dalits (ex-untouchables) in India, it is suggested that leaders possess the capacity for creative use of humiliation. The creative use of humiliation is made possible by the innovation in constructing social identities involved in humiliation. Creative leadership can be an important catalyst that can transform humiliation into a positive force for social change. 2015 University of Phoenix. -
Can Hubble tension be eased by invoking a finite range for gravity?
The estimation of the Hubble constant in the past few decades has increasingly become more accurate with the advancement of new techniques. However, its value seems to depend on the epoch at which the measurements are made. The Planck estimate of the Hubble constant from the observations of the cosmic microwave background radiation in the early universe is about 67km\s\Mpc, whereas that obtained from the distance indicators at the current epoch is ?73-74km\s\Mpc. This discrepancy between the two groups of measurement is termed as the Hubble tension which has gained much attention in the past few decades with growing significance as measurements from both, the early and the late universe, studies continue to produce results with increasing precision. In this work, we propose a modification to gravity by considering a finite range gravitational field as an alternate explanation for this discrepancy in the value of the Hubble constant. 2024 World Scientific Publishing Company. -
Can Heedful Interrelating Be a Self-empowering Approach to Thwart Maladaptive Workplace Functioning? An Integrative Literature Review
Maladaptive workplace functioning hinders task completion, work-goal attainment and collaborative interactions, thereby affecting the optimal utilisation of human capital, learning outcomes and organisational sustainability. By integrating self-determination theory, the theory of heedful interrelating and the socially embedded model of thriving at work, this study proposes a conceptual model as a self-empowering approach to thwart maladaptive functioning. A five-stage integrative literature review was conducted to examine the available knowledge base, critically review and synthesise selected literature on heedful interrelating to locate a knowledge gap and bring forth a new way of thinking to address employee workplace maladaptive functioning. A sample of ten empirical articles was consolidated to gauge the antecedents and outcomes of heedful interrelating. The originality of the study lies in bridging the dialectic gap of self-determination theory, introducing heed as a novel factor to the relatedness dimension and employing an intelligent review methodology to propose a practical workplace solution to maladaptive functioning. The Author(s) 2025. -
Can Greenhouse Gas Emissions Be a Driving Factor for Economic Stability? An In-depth Study of D8 Nations
This chapter examines the relationship between greenhouse gas (GHG) emissions and economic stability in D8 countries Bangladesh, Egypt, Indonesia, Iran, Malaysia, Nigeria, Pakistan, and Turkey. It aims to assess whether emissions, particularly methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2), serve as economic indicators and how transitioning to renewable energy influences economic growth and environmental sustainability. The chapter employs statistical analysis using regression models to evaluate the impact of GHG emissions on key economic indicators such as gross domestic product (GDP), gross national income (GNI), inflation, and energy consumption. Data from the World Development Indicators (WDI) spanning 20012023 are utilized. The Environmental Kuznets Curve (EKC) and Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) models are applied to examine the interplay between emissions and economic growth. Additionally, sectoral analysis is conducted to highlight the role of renewable energy and policy measures in mitigating emissions. The results indicate a complex relationship between emissions and economic stability. Methane and nitrous oxide emissions exhibit a significant correlation with economic performance, whereas CO2 emissions show mixed effects. Countries investing in renewable energy, such as Indonesia and Malaysia, demonstrate improved economic resilience while reducing emissions. The chapter highlights the need for energy efficiency measures, investment in clean energy, and regional cooperation to balance economic growth with environmental sustainability. This chapter provides a comprehensive analysis of the economic impact of GHG emissions in D8 nations, offering policy recommendations to achieve sustainable development while maintaining economic stability. 2026 Afzalur Rahman, Shakeb Akhtar, Mahfooz Alam, and Mohsin Khan and 2026 The authors. -
Can generative AI serve as the modern-day white-collar knowledge laborer?
Purpose: There has been a growing debate on whether generative AI can serve as the modern-day equivalent of white-collar knowledge workers. In a recent post, technology magnate Bill Gates boldly proclaimed that ChatGPT would soon become the quintessential white-collar worker of tomorrow (Dean, 2023). This is indeed an exciting prospect, as generative AI advances at breakneck speed. Need for the Study: This research delves upon the implications of such advancements for industries reliant on skilled employees. It raises questions about how these individuals will adjust their skillset going forward, given the proliferation of generative AI solutions poised to disrupt traditional roles previously occupied by humans. Methodology: The study uses an exploratory framework to understand AI's implications on job roles, productivity, and skill requirements. It introduces generative AI and its relevance, focusing on how it could transform whitecollar jobs. Findings: One thing seems clear: its impact on future employment opportunities. However, this technology still has limitations, potentially leading to unintended consequences. While capable of performing certain functions precisely and accurately, it cannot fully replace the reasoning abilities or cognitive flexibility innate in human workers tasked with knowledge-based work. Practical Implications: The potential implications for workforce development, policy-making, and future research in AI and labor economics are highlighted. This will also help gain insights into the integration process, benefits, challenges, and the changing nature of white-collar work due to generative AI. 2025 by Ram B. Ramachandran and Chabi Gupta. All rights reserved. -
Can fintech disrupt the democratization of investment solutions? A study of India
Purpose Because of unequal distribution of wealth and varied income groups across the globe, there is a widening gap in the kinds of investment solutions used by high-net-worth investors (HNWIs) and retail investors. With the advent of fintech firms, there are various technological disruptions observed. The purpose of this paper is to analyze the effectiveness of democratizing investment solutions on the investment behavior of retail investors in the context of fintech firms by using a qualitative research study approach. Design/methodology/approach The study used a qualitative approach with semi-structured interviews of fintech, wealth management and asset management experts to investigate the democratization of investment solutions in India. Interview guides were emailed to participants beforehand to ensure preparation and data was analyzed using NVivo software through thematic coding aligned with research objectives. The flexible methodology, guided by a carefully crafted interview framework reviewed by an industry professional, enabled deep insights into fintechs impact. Findings The results of this paper indicate that fintech firms have a significant effect on democratizing investment solutions for the retail investors. Furthermore, level of financial literacy and risk appetite were considered crucial factors to determine the scope of democratizing investment solutions. Practical implications This study aids fintech firms in understanding how democratizing investment solutions impacts retail and HNWIs, highlighting key factors influencing effectiveness. It helps retail investors recognize behavioral patterns, encouraging cautious risk-taking when investing in exotic asset classes recently made accessible, previously exclusive to HNWIs. Additionally, it evaluates the role of artificial intelligence and machine learning in enhancing fintech-driven democratization of investments. Originality/value Unlike prior studies that focus primarily on technological access, this study highlights behavioral and ethical dimensions, such as fear-based decision-making, myths about government securities and trust in human advisors, that mediate democratization outcomes in Indias fintech ecosystem. The present study addresses the gap related to the democratization of investment solutions for retail investors in the context of fintech firms by identifying several unique factors of democratization that were overlooked in prior literature through the use of a qualitative research approach. 2026 Emerald Publishing Limited -
Can financial markets help attain carbon goals? Evidence from systematic literature review, bibliometric analysis and topic modelling
Purpose: This paper presents a conceptual framework based on an extensive literature review. The aim of this study is to deepen understanding of the relationship between carbon performance and the financial market by applying qualitative research approaches. Design/methodology/approach: The investigation has identified 372 articles sourced from Scopus databases, subjecting the bibliographic data to a comprehensive qualitativequantitative analysis. The research uses established protocols for a structured literature review, adhering to PRISMA guidelines, machine learning-based structural topic modelling using Python and bibliometric citation analysis. Findings: The results identified the leading academic authors, institutions and countries concerning carbon performance and financial markets literature. Quantitative studies dominate this research theme. The study has identified six knowledge clusters using topic modelling related to environmental reporting; price drivers of carbon markets; environmental policy and capital markets; financial development and carbon emissions; carbon risk and financial markets; and environmental performance and firm value. The results of the study also present the opportunities associated with carbon performance and the financial market and propose future research agendas on research through theory, characteristics, context and methodology. Practical implications: The results of the study offer insights to practitioners, researchers and academicians regarding scientific development, intricate relationships and the complexities involved in the intersection of carbon performance and financial markets. For policymakers, a better understanding of carbon performance and financial markets will contribute to designing policies to set up priorities for countering carbon emissions. Social implications: The study highlights the critical areas that require attention to limit greenhouse gas emissions and promote decarbonisation effectively. Policymakers can leverage these insights to develop targeted and evidence-based policies that facilitate the transition to a more sustainable and low-carbon economy. Originality/value: The study initially attempts to discuss the research stream on carbon performance and financial markets literature from a systematic literature review. 2024, Emerald Publishing Limited. -
Can co-creating in CSR initiatives influence loyal customers? Evidence from the banking industry
Consumers are increasingly pressing organizations to adapt meaningful corporate social responsibility (CSR) initiatives and seek avenues for co-creation. Study to investigate if CSR can help co-creation significantly contributes to the competitive advantage of banks. Many previous pieces of research have recognized CSR as a strategic imperative that may help businesses to build consumer loyalty. To address gaps in the literature based on the social identity theory and theory of social exchange, this article investigates the impact of CSR on consumer loyalty while considering the mediation effect of co-creation. The data were collected in India, and the sample contained 520 customers of banks. Partial least squares-structural equation modeling was used to test the hypothesis. The study findings show that CSR, directly and indirectly, impacts consumer loyalty through co-creation. The current study's findings aid banking institutions in determining how to design and implement strategies based on CSR and co-creation that could eventually result in consumer loyalty. 2023 ERP Environment and John Wiley & Sons Ltd. -
Can bot be my mental health therapist? A pandemic panorama
[No abstract available] -
Can Artificial Intelligence Accelerate and Improve New Product Development
Today, AI have successfully set up a good foundation in a broad scope of business processes. Associations including AI for product headway processes have uncovered more huge yields on hypotheses, better viability in their cycles, and effective utilization of resources. A sensible headway framework is paramount for capable product development, especially for complex endeavours. AI thinking is in like manner improving new product development. AI is probably going to experience clients in numerous areas. New yield evolution as in collaboration utilizes its capital and capacities to make another item or work on a current one. Product development is viewed as one among the fundamental cycles for progress, endurance, and recharging of associations, especially for firms in, by the same token, quick-moving or cutthroat business sectors. AI assists people's lives by expanding connections creating and multiplying items that can work with individuals' daily exercises in quite a large number of areas. Consequently, the impact of involving Artificial Intelligence for new developments is to induce things simpler. This paper attempts to outline the acceleration of new product development with the help of artificial intelligence technology. This study addressed the tailored AI in product improvement and product development transformation. Lastly, this article points out how AI accelerates product development and future outlook. 2023 American Institute of Physics Inc.. All rights reserved. -
Camouflaged Protocols of Womanhood: Inherent Paradoxes of Bengal
Contemporary India is part of a global community where modernizationand urbanization including consumerism is on the rise; but not leaving behind its historic cultural essence. Old scriptures, myths, folklore, literature, cultural proverbs as well as media, have a noteworthy role in shaping the perspectives of Indian people. The current study was done in parts of urban Bengal to explore the influence of these forces from socio-political, psychological as well as philosophical registers, in shaping the self-image and identity of contemporary women. 50 participants were interviewed using a semi-structured in-depth interview method and data were analyzed following qualitative analytical methods keeping the cultural-relational-social context in perspective. The method of pluralism in the qualitative analysis was followed using three data analysis methodsGrounded Theory, Interpretative Phenomenological Approach, and Narrative Analysis. Analyses revealed anintriguing social-crafting of theconcepts of gender and identities of women through idealization and internalization of traits and notions incessantly presented through celebrated literature, myths, folklore, proverbs, and media. Furthermore, the analysis showed how the deep-rooted paradox, inherent in Bengals cultural discourse, is internalized even by educated urban women and infuses a sense of lack, vulnerability, self-loathing, blame, and stigma in their identity. On the contrary, it was also observed in a few instances that optimum use of media and global knowledge led to the construction of a new-age individual and subjective discourse. 2022, The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India. -
Camera-based tri-lingual script identification at word level using a combination of SFTA and LBP features
This paper exhibit the identification of scripts at word level from the camera-based multi-script document images. The Camera-based document images suffer from noise while capturing documents and scripts are challenging to identify when noise is present. The scripts like Tamil, Punjabi, English, Oriya, Telugu, Gujarathi, Malayalam, Kannada, Hindi, Bengali, and Urdu combinations considered. The experiment conducted on a large dataset consisting of 77,000-word images and each script has 7000-word images word images. The texture features are combined to get the highest recognition accuracy. The recognition rate is 77.94% and 82.39% from SFTA features and 89.82% and 93.94% from LBP features, by using KNN and SVM classifiers, for combined feature vector KNN has given 94.45%, and SVM has given 93.88% recognition accuracy. 2019 SERSC. -
Calibration of Optimal Trigonometric Probability for Asynchronous Differential Evolution
Parallel optimization and strong exploration are the main features of asynchronous differential evolution (ADE). The population is updated instantly in ADE by replacing the target vector if a better vector is found during the selection operation. This feature of ADE makes it different from differential evolution (DE). With this feature, ADE works asynchronously. In this work, ADE and trigonometric mutation are embedded together to raise the performance of an algorithm. The work finds out the best trigonometric probability value for asynchronous differential evolution. Two values of trigonometric mutation probability (PTMO) are tested to obtain the optimum setting of PTMO. The work presented in this paper is tested over a number of benchmark functions. The benchmark functions results are compared for two values of PTMO and discussed in detail. The proposed work outperforms the competitive algorithms. A nonparametric statistical analysis is also performed to validate the results. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Calendar anomalies in the Indian stock markets: Monsoon effect
This paper deals with identifying the presence of monsoon effect in the Indian stock market using EGARCH model as well as the impact on the volatility of returns of the selected indices during the monsoon months in India. Daily time series data of closing price of four major indices i.e. Nifty 50, Nifty Smallcap 100, Nifty Midcap 100 and Nifty 500 over a period of sixteen years (April 2002 to March 2018) were collected and analysed. The results substantiate the fact that monsoon effect is present in the Indian equity market. The returns of Nifty 50 and Nifty 500 indices during the month of September were significantly higher. There was also a significant increase in the volatility during the month of September. No significant change was detected during the monsoon months for Midcap 100 and Nifty Smallcap 100. Monsoon effect was found in indices tracking top performing 50 stocks and 500 stocks listed in NSE. Hence, it can be inferred that monsoon effect is present in the Indian stock market. 2019, Allied Academies. -
Calculator using brain computer interface
This paper is undertaken with an aspiration to provide a new way to calculate that can be availed by exploiting BCI. Often it's said things moved at the blink of eye, now the time has come to make it true. This project is developed to ease the efforts in two different ways. First a mind controlled image viewer is build which can be used to change images at the blink of an eye. Second is a simple single digit calculator which lets the user choose the number and the operators just by focusing.Brain-Computer Interface aims to improve the detection and decoding of brain signals acquired by electroencephalogram (EEG). IAEME Publication.