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A Psychoanalytical Deconstruction of Surpanakha in Kavita Kane's Lanka's Princess
This paper endeavours to examine the character Surpanakha in Kavita Kane's novel Lanka's Princess. It attempts to critically follow her struggle in the androcentric space with the trapping of being a female. Breaking down her identity as a daughter, sister, wife and more specifically, as an individual, it tracks down the formulation of her own self-perception in order to reinterpret her femininity. Through the psychoanalytical lenses, this work also critically analyses her 'repression, rage and revenge' by connecting the dots in her journey that shape her personality. The giving of voice to the 'unvoiced' through revisionist myth making in the novel and the evolution of 'Surpanakha' from 'Meenakshi' due to her experiences in the oppressive and suffocating environment is the focal point of the paper. Keywords 2021 Copyright 2021 by Koninklijke Brill NV, Leiden, The Netherlands. -
Perceived organizational support, employee engagement and organizational citizenship behaviour among knowledge workers of R&D organization
The reflections of professional life hold an imperative value for an employee. The I/O relationship depends upon myriads of factors. For the sustainability of individual and organization, the internal organization in which the employee operates should provide nurturance and growth to the employee. This study examined perceived organizational support as an antecedent of employee engagement and organizational citizenship behaviour as it`s consequence. The present study employs an ex-post facto research design. 300 knowledge workers (scientists) were assessed on work and organizational engagement, perceived organizational support and organizational citizenship behaviour. Results indicated that perceived organizational support emerged as a significant predictor of work and organizational engagement and organizational citizenship behaviour emerged as a significant consequence of employee engagement. For mediation analysis Baron and Kenny`s (1986) framework was employed and observed that employee engagement partially mediated the relationship between perceived organizational support and organizational citizenship behaviour. 2021 Ecological Society of India. All rights reserved. -
Echoes of Conflict: Unveiling the Interconnected Tapestry of Russia-Ukraine Warfare, Oil Price Ballet, and the Asian Stock Symphony
The purpose of this research is to look into the impact of the Russia-Ukraine war on the relationship between oil prices and the Asian stock market. While earlier studies have investigated the impact of oil prices on stock markets, there has been little research into the impact of crude oil prices on the Asian stock market in the context of the Russia-Ukraine war. For this purpose, the data is collected from NSE and Bloomberg database the study's findings imply that the Russia-Ukraine war has had a major impact on the relationship between crude oil prices and stock market indices in numerous Asia-Pacific countries. The study suffers from a few limitations such as it only examines the relationship between crude oil prices and stock market indices but there are other macroeconomic factors, such as interest rates, inflation, and political instabil ity which also affect the market. 2024, ASERS Publishing House. All rights reserved. -
Aplicaci obligatoria de las NIIF y relevancia del valor de la informaci contable en la India; [Mandatory IFRS enforcement and value relevance of accounting information in India]
This study investigates the influence of IFRS enforcement on the explanatory power of earnings and book value on the market price in an emerging economy, India over five years that is two years before mandatory IFRS enforcement for 2014-2015 and three years after IFRS enforcement for 2016- 2018. Total 3470 firm-year observations were examined by assembling data from the BSE website and the annual reports of the firms for this purpose. The findings of the study conclude that the financial reporting environment has improved after introducing the IFRS, which was reflected through a strong and significant association between market price and its two dominating variables earnings and book values. However, the findings also suggest that earnings have been stronger and more significant predictors of market price post-IFRS enforcement than book values, which showed a negative association with market price and declined after IFRS enforcement. The study also suffers from diverse constraints similar to previous studies such as limited data sets and years coupled with only two variables and suggests future scope for research in diverse angles where researchers can employ the return model, and add more control variables such as cash flows, leverage, size, growth... 2019 Universidad Nacional Automa de Mico, -
Investor's behaviour to COVID-19 vaccination campaign; An event study and panel data analysis in the southeast asian region
This study examines how the COVID-19 immunization campaign has influenced the stock market responses in the WHO Southeast Asian Region. The effects of the immunization campaign on the WHO Southeast Asian countries were different, and the study used event study techniques and panel-data regression models to investigate the impact of the WHO South-East Asian capital market. Some countries like India, Sri Lanka, and South Korea had positive markets that responded to the news, while others did not. The findings of this study suggest that investors make fair assessments and respond to events and announcements, but they tend to have a more visible reaction to negative incidents than to positive news/events. However, after 51 days, the WHO South East region as a whole had internalized the encouraging news. The study has a few limitations, such as a small dataset and period, only a few variables and models, and so on. Future studies could include a few additional countries and periods to produce more significant results. Originality/value- This study contributes to the existing knowledge about the impact of drugs and vaccinations on stock markets. It is the first study to investigate how the WHO Southeast Asian Region's COVID-19 immunization program affects the stock market reaction. The study used keywords such as Immunization campaign, abnormal returns, Cumulative average abnormal returns, Event Study, and WHO Southeast Asian Region. 2025 Universidad Nacional Autonoma de Mexico. All rights reserved. -
Dimensions of Brand Equity: A Hybrid Approach
Subjectivity and emotionality of a brand influence the subconscious motivation of customers. It determines brand loyalty, value of the brand, and sustainability of relationship with the customers. This study explores the qualitative dimensions of brand and aims to analyze the impact of qualitative dimensions of a brand on brand equity. In the present study, a sample of 450 respondents were taken who have positive inclination towards Apple iPhone. The variables of the study were extracted using qualitative research while data were processed using SPSS 20 statistical software. The hybrid approach is used in the study as it delivers better result. The proposed model was validated and the results of the study depict that brand friendliness, emotionality, brand trust, and alignment with the brand personality significantly influence brand equity. The study brings important insights about invisible, intangible, and subjective attributes of the brand. The study can be further used to build another inclusive model by incorporating both qualitative and quantitative aspects of the brand. 2022 KJ Somaiya Institute of Management. -
Influence of organization ethos on research competence of teachers in higher education institutions
The standards of research depend on the maintenance and coordination of research activities that are conducted by the teachers in higher education institutions. The flexibility in ordinances and statutes empowers the higher education institutions to frame the guidelines that empower the research competence of the teachers. This descriptive research has collected the data from 451 regular teachers of higher education institutions from different areas of discipline for the research. The results of the study show that there is a significant difference in measures of the perceptions of the teachers towards the relationship between organization ethos and research competence in higher education institutions. The study indicates the practical and academic importance for teachers to enhance research performance of higher education institutions. 2024, Institute of Advanced Engineering and Science. All rights reserved. -
Mindfully fashioned: Sustaining style through product value retention
In the ever-evolving landscape of fashion industry, the pursuit of sustainability and mindful consumption has emerged as an imperative. This study presents an innovative and integrated framework that amalgamates the Structural Equation Modeling (SEM) and Artificial Neural Network (ANN) approach. This comprehensive framework explores the dynamic interplay between Sustainable Mindfulness (SM), Product Value Retention (PVR), Brand Loyalty (BL) and Circular Practices (CP) in the fashion domain. The study underscores Theory of Planned Behavior (TPB) as the theoretical foundation, shedding light on how attitudes, subjective norms, and perceived behavioral control shape SM and, subsequently, PVR. This study explores into the multidimensional aspects of sustainable fashion, enabling a holistic understanding of the nuanced relationships between PVR strategies, and sustainable consumption attitudes. The study sets the stage for a more harmonious coexistence between style and sustainability, charting a course for the fashion industry that values mindfulness, longevity, and environmental responsibility. The findings offer actionable insights for fashion managers, emphasizing strategic approaches to enhance sustainability, consumer awareness, and circular initiatives in the industry. This study not only advances theoretical discourse but also offers actionable insights for fashion brands and policymakers aiming to foster SM among diverse consumer segments. It sets the stage for a more harmonious coexistence between style and sustainability, charting a course for the fashion industry that values mindfulness, longevity, and environmental responsibility. 2024 Elsevier Ltd -
Does geopolitical risk alleviate the sticky cost behavior of firms? Evidence from India
This study explores how geopolitical risk (GPR) affects the sticky cost behavior of firms. Using a piecewise linear regression analysis on 11,180 firm-year observations from India for the period 20112020, we discover that GPR reduces asymmetry in the cost behavior of firms. These results imply that GPR incentivizes firms to adopt a more cautious approach to cost management practices in order to mitigate bankruptcy risks. Nevertheless, we find that financial constraints limit the ability of GPR to moderate the stickiness in the cost behavior of firms. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024. -
Analysis and prediction of Indian stock market: a machine-learning approach
Prediction of financial stock market is a challenging task because of its volatile and non- linear nature. The presence of different factors like psychological, sentimental state, rational or irrational behaviour of investors make the stock market more dynamic. With the inculcation of algorithms based on artificial intelligence, deep learning algorithms, the prediction of movement of financial stock market is revolutionized in the recent years. The purpose of using these algorithms is to help the investors for taking decisions related to the Stock Pricing. A model has been proposed to predict the direction of movement of Indian stock market in the near future. This model makes use of historical Indian stock data of companies in nifty 50 since they came existence along with some financial and social indicators like financial news and tweets related to stocks. After pre-processing and normalization various machine learning algorithms like LSTM, support vector machines, KNearest neighbour, random forest, gradient boosting regressor are applied on this time series data to produce better accuracy and to minimize the RMSE error. This model has the ability to reduce major losses to the investors who invest in stock market. The social indicators will give an insight for predicting the direction of stock market. The LSTM network will make use of historical closing prices, tweets and trading volume. 2023, The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden. -
Aging, sexual intimacy, and challenges in contemporary India: A qualitative study
An individual's life is shaped by age norms practiced in a particular society. In most societies, there is a deadline for every life event. Sexual intimacy is an essential part of every individual. However, sexual intimacy seems appropriate for young individuals, and middle-aged and older are considered asexual. Those who share sexual intimacy at a later age have to face the consequences for this age-inappropriate behavior in society. This study analyses Badhaai Ho film to explore the consequences of sharing sexual intimacy by middle-aged heterosexual couples in their 50s as it is forbidden by prevalent social norms. This study also explores the role of family in dealing with the repercussions of actions against the prescribed social norms. Thematic analysis suggests that society has a predefined age-bound box for individuals with different age categories. The middle-aged couple suffers various consequences for breaking the prescribed age-bound box. The role of the family is found to be crucial in mending the box by replacing it with an updated version. There are also gender differences in attitude toward sexual intimacy. Implications of this study can be utilized to explore the pathway of social change in existing social (age) norms in any society. Copyright 2022 Srivastava and Upadhaya. -
Listen to the heart or mind first? Examining sequential coping mechanisms among Indians during the COVID-19 pandemic
The present study examines the mediating role of emotion-focused and problem-focused coping between stress and psychological well-being during the COVID-19 pandemic. The sample comprised 501 (312 women and 184 men aged between 18 and 42) Indians who experienced the first-ever continued lockdown in India during the COVID-19 pandemic. The results of this study confirmed the presence of perceived stress due to the lockdown and pandemic among participants. Furthermore, perceived stress, coping including emotion-focused and problem-focused, and psychological well-being were found to be interrelated. The serial mediation analysis revealed that participants dealt with stress by choosing emotion-focused coping first as an immediate resort. After a reappraisal of stress-inducing situations, they used problem-focused coping, and this sequence of constant coping mechanisms helped maintain their psychological well-being. The findings of this study can be applied to develop strategies for peoples mental health by public health organizations and health professionals. Copyright 2023 Srivastava, Upadhaya and Jain. -
Impact of corporate governance attributes on cost of equity: Evidence from an emerging economy
Purpose: The purpose of this study is to construct a comprehensive Indian corporate governance index in light of the recently introduced Companies Act, 2013, which is further validated by analyzing its impact on the cost of equity of a firm. Design/methodology/approach: Based on the hand-collected data from firms listed on S&P BSE 500 from 2001 to 2016, this index comprises seven equally weighted sub-indices, comprising a total of 43 corporate governance attributes. This index and the sub-indices have further been regressed with the cost of equity of a firm. Findings: The results suggest a negative significant relationship between the overall corporate governance and the cost of equity. The study also suggests that among all the sub-indices, board composition predicts the cost of equity to a greater extent. Other than this, the audit committee sub-index has a negative significant association with the cost of equity. The findings imply that a well-governed firm enjoys ease of access to equity finance from the market. Originality/value: The corporate governance index is based on the recent regulatory reforms introduced in India. The index, with certain changes suitable to the local context, can be applied to similar emerging economies as well. The causal relationship tested using this method is the first one done in India. This study adds to the domain of corporate governance literature with special focus on the construction of an index for an emerging economy. 2019, Emerald Publishing Limited. -
An analysis of the ethical challenges of blockchain-enabled E-healthcare applications in 6G networks
Developments in blockchain technology coupled with rapid developments in network technologies have disrupted traditional business and service models. One such application is in the domain of healthcare. However, the domain's sensitive nature and complexity require blockchain-enabled e-healthcare to ensure utilitarianism while suitably addressing the associated ethical challenges. In this milieu, the paper attempts to identify and evaluate the parameters of ethical challenges associated with blockchain adoption in e-healthcare. This paper contributes to the extant body of knowledge by presenting a critical review of the ethical considerations at the meso level of blockchains in e-healthcare. Based on findings from the literature, the study identified nine parameters of blockchain ethics. Of these, Accuracy and Right to be Forgotten were found to be most critical in terms of ethical dilemmas in healthcare applications. No evidence of ethical dilemma could be found with respect to Accountability and Data Ownership. As these services are deployed over networks, all these challenges are further evaluated in the context of 6G network-based models. This will not only provide the stakeholders with a holistic view of the ethical challenges in various blockchain-enabled healthcare applications but also enable a meticulous transition to the 6G network. 2021 -
MMOF: A Multi-Metric Objective Function for Congestion Detection Under Varying Transmission Ranges in RPL-Based WSN
The Routing Protocol for Low Power Lossy Networks (RPL) is prone to congestion under high traffic. The single-path routing strategy and single-parent selection make RPL energy and resource-efficient only when the traffic is low and uniform. Two Objective Functions (OFs) are defined for RPL, which use single routing metrics-Expected Transmission Count (ETX) and hop count, to select the best parent and path toward the root. However, considering a single metric for OFs is unsuitable for detecting congestion in Lossy Networks (LLNs) applications as each metric has limitations. The current study proposes a novel Multi-Metric Objective Function (MMOF) that combines these two metrics and removes the weakness of the existing OFs. The proposed MMOF works under the nodes' varying transmission ranges (Tx ranges) to reduce the congestion. By changing Tx ranges, we show that the congestion in a fixed topology RPL network reduces, and MMOF can detect this congestion state more accurately than the existing OFs. The research introduces a successful transmission probability metric that makes MMOF more efficient in detecting congestion than ETX and Hop-Count. We prove that considering these two parameters individually is misleading and cannot contribute 100% to detect congestion state. Increasing transmission range can decrease congestion, and MMOF can detect this state transition with 100% accuracy. Simulation results in Cooja show that MMOF outperforms these two metrics and that the robust metric shows a linear relationship with the Tx range. Finally, two quality of service (QoS) parameters are derived to prove the method's efficiency and novelty. The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. -
Extended virtual reality based memory enhancement model for autistic children using linear regression
Extended Virtual Reality has expanded its wings to almost each and every sector enabling immersive experience in various fields and has found applications in gamification, learning, healthcare, etc. This technology has aided in providing solutions to various problems in different fields, and healthcare is the most prominent one among them. Children suffering from ASD which is a developmental disorder affecting the brain that impacts how a person perceives external responses, are finding it increasingly difficult to get treated as the treatment methods are tedious. There are very few methods which are regarded as standardized means of treating autistic children but there are a few common traits that can be found in children affected by ASD which can be grouped under three common categories. They are lack of communication skills, lack of basic mathematical knowledge and low levels of remembrance. With the help of Gamification, which provides therapy by means of games to those affected, the kids affected by ASD can be treated, powered by the concept of Extended Virtual Reality. In this paper, we have developed a model to provide autistic children a real world experience of playing games which will help them in enhancing their skills without any external interferences. Children who play these Extended Virtual Reality based games show gradual improvement, for which the results can be facilitated with the help of a Linear Regression model, helping us predict future response times. The proposed model results in enhancement of memory levels of the kids as a result of the game and classifies kids based on their enhancement in memory into high, medium and low. The mean absolute error of the linear regression model is found to be 0.0394. 2024, The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden. -
Stress and resilience in British Indian parents with an autistic child: a comparative study with white British and Indian parents
Purpose: This study aims to examine the levels of stress and resilience in a sample of British Indian parents bringing up a child with autism. Design/methodology/approach: A total of 52 British Indian parents took part in a survey that included measures of stress, resilience, support and child adaptive functioning. Results were compared to a sample of white British (n = 120) and Indian parents (n = 120). Findings: The British Indian parents recorded higher levels of stress and less perceived social support than their white British counterparts. British Indian parents took longer to register concern about their childs development and sought a diagnosis at a later age than the white British group. The delay in concern and diagnosis was similar to that found in the India group. Originality/value: The research suggests that British Indian parents are disadvantaged in social support and mental well-being compared to white British parents and may face similar community pressures to parents bringing up a child in India. 2023, Emerald Publishing Limited. -
Effect of Chicken Feather Hydrolysate on Growth of Spinach through Soil Amendment Method: Unraveling A Potential Liquid Biofertilizer
The study aims to investigate the effectiveness of chicken feather hydrolysate for promoting the growth of Spinacia oleracea L., a commonly consumed leafy green vegetable. An earlier isolated and identified keratinolytic bacterial species Bacillus tropicus was utilized for the preparation of chicken feather hydrolysate through submerged fermentation. Minimal media which was supplemented with chicken feather was used for the preparation of hydrolysate. The bacterial strain degraded chicken feather within 4 days of incubation after which the feather hydrolysate was collected and tested to check plant growth promoting activity through the seed germination trials and greenhouse study. Upon characterization of feather hydrolysate, it was found that the hydrolysate was a cocktail of Nitrogen, Phosphorus and Potassium (NPK) as well as other micro elements needed for plant growth. Four different concentrations of feather hydrolysate were employed for both the seed germination and greenhouse study which ranged from 25% (v/v), 30% (v/v), 35% (v/v) and 40% (v/v) including a control group (CN) which was not supplemented with feather hydrolysate. The hydrolysate supplementation brought about plant growth in all the four test concentrations with 35% (v/v) giving the highest result of 14 cm and 27.6 mg/g for tested parameters like plumule length and total chlorophyll content, respectively. The same concentration supported maximum seed germination and highest radicle extension for the germination studies as well. This study investigates the efficacy of chicken feather hydrolysate in promoting spinach growth, elucidating its potential as a fertilizer. The Author(s) 2024. Open Access. -
Predicting heart ailment in patients with varying number of features using data mining techniques
Data mining can be defined as a process of extracting unknown, verifiable and possibly helpful data from information. Among the various ailments, heart ailment is one of the primary reason behind death of individuals around the globe, hence in order to curb this, a detailed analysis is done using Data Mining. Many a times we limit ourselves with minimal attributes that are required to predict a patient with heart disease. By doing so we are missing on a lot of important attributes that are main causes for heart diseases. Hence, this research aims at considering almost all the important features affecting heart disease and performs the analysis step by step with minimal to maximum set of attributes using Data Mining techniques to predict heart ailments. The various classification methods used are Nae Bayes classifier, Random Forest and Random Tree which are applied on three datasets with different number of attributes but with a common class label. From the analysis performed, it shows that there is a gradual increase in prediction accuracies with the increase in the attributes irrespective of the classifiers used and Nae Bayes and Random Forest algorithms comparatively outperforms with these sets of data. 2019 Institute of Advanced Engineering and Science. -
Detecting the magnitude of depression in Twitter users using sentiment analysis
Today the different social networking sites have enabled everyone to easily express and share their feelings with people around the world. A lot of people use text for communicating, which can be done through different social media messaging platforms available today such as Twitter, Facebook etc, as they find it easier to express their feelings through text instead of speaking them out. Many people who also suffer from stress find it easier to express their feelings on online platform, as over there they can express themselves very easily. So if they are alerted beforehand, there are ways to overcome the mental problems and stress they are suffering from. Depression stands out to be one of the most well known mental health disorders and a major issue for medical and mental health practitioners. Legitimate checking can help in its discovery, which could be useful to anticipate and prevent depression all-together.Hence there is a need for a system, which can cater to such issues and help the user. The purpose of this paper is to propose an efficient method that can detect the level of depression in Twitter users. Sentiment scores calculated can be combined with different emotions to provide a better method to calculate depression scores. This process will help underscore various aspects of depression that have not been understood previously. The main aim is to provide a sense of understanding regarding depression levels in different users and how the scores can be correlated to the main data. 2019 Institute of Advanced Engineering and Science. All rights reserved.