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The Role of Real Exchange Rate in Indias Service Export: Do Remittances Inflows Matter in Post Liberalization-Era?
This study assesses the effects of real exchange rate and remittance inflows on India's total service exports, comprising traditional and modern service exports, spanning the annual data from 1990 to 2020. The control variables for the service export function include developments in the banking sector and the stock market and net inflows of foreign direct investment. The ARDL model is the estimating technique of the present study. The real exchange rate has an adverse effect on total, traditional, and modern service exports, according to the long-run outcomes of the ARDL model. Remittance inflows are interestingly shown to support modern service exports while impeding total and traditional service exports. The growth of the banking sector is beneficial for traditional and total service exports, but it has a negative impact on modern service exports. All service exports are benefited by stock market development; however, net FDI inflows negatively impact all forms of service exports. Based on these results, thepolicymakers in India are advised to maximize the effective utilization of remittance inflows in traditional service exports. Additionally, proactive intervention by the central bank is recommended to mitigate the adverse effects of the real exchange rate on traditional and modernservice exports. This study also provides valuable insights for thepolicymakers and practitioners seeking to enhance India's service export performance while navigating the complexities of real exchange rates, remittance inflows, and financial factors. The Author(s), under exclusive licence to Springer Japan KK, part of Springer Nature 2024. -
The Role of Real Exchange Rate in Indias Service Export: Do Remittances Inflows Matter in Post Liberalization-Era?
This study assesses the effects of real exchange rate and remittance inflows on India's total service exports, comprising traditional and modern service exports, spanning the annual data from 1990 to 2020. The control variables for the service export function include developments in the banking sector and the stock market and net inflows of foreign direct investment. The ARDL model is the estimating technique of the present study. The real exchange rate has an adverse effect on total, traditional, and modern service exports, according to the long-run outcomes of the ARDL model. Remittance inflows are interestingly shown to support modern service exports while impeding total and traditional service exports. The growth of the banking sector is beneficial for traditional and total service exports, but it has a negative impact on modern service exports. All service exports are benefited by stock market development; however, net FDI inflows negatively impact all forms of service exports. Based on these results, thepolicymakers in India are advised to maximize the effective utilization of remittance inflows in traditional service exports. Additionally, proactive intervention by the central bank is recommended to mitigate the adverse effects of the real exchange rate on traditional and modernservice exports. This study also provides valuable insights for thepolicymakers and practitioners seeking to enhance India's service export performance while navigating the complexities of real exchange rates, remittance inflows, and financial factors. 2024, The Author(s), under exclusive licence to Springer Japan KK, part of Springer Nature. -
The role of psychoneuroimmunology in mental health disorders: The intertwined pathways
The chapter provides a comprehensive overview of psychoneuroimmunology (PNI), detailing the interactions between psychological processes, the nervous system, and the immune system in relation to mental health disorders. It discusses how psychological stress can affect immune function, leading to altered neurotransmitter function and contributing to conditions like anxiety, depression, and schizophrenia. The chapter also explores the influence of gut microbiota on the immune system and brain function and emphasizes the therapeutic implications of understanding PNI pathways for developing innovative and potentially life-changing treatments for mental health disorders. Overall, the chapter highlights the interconnected pathways of the nervous, endocrine, and immune systems and advocates for a holistic approach to mental health care. 2025 by IGI Global Scientific Publishing. All rights reserved. -
The role of psychological capital in shaping climate anxiety across generations
Background: Climate change has transitioned from a distant environmental issue to an immediate psychological reality that profoundly affects how individuals perceive their future and well-being. This study investigates generational differences in climate anxiety and examines the role of psychological capital (PsyCap) as a potential protective resource through the lens of Environmental Identity Theory (EIT). Methods: A cross-sectional survey was conducted among 384 participants in Kerala, India, comprising Generation X (33.6%), Millennials (29.9%), and Generation Z (36.5%). Climate anxiety was measured using the Climate Anxiety Scale (Clayton & Karazsia, 2020), and PsyCap was assessed through the PCQ-12, encompassing hope, efficacy, resilience, and optimism. Data were analyzed using ANOVA and multiple regression, with effect sizes and confidence intervals reported. Results: Significant generational differences emerged for both cognitiveemotional impairment (F(2,381) = 3.83, p =.023) and functional impairment (F(2,381) = 6.15, p =.002). Gen Z reported significantly higher anxiety levels than Millennials (p =.045, d = ? 0.29*) and Gen X (p =.011, d = ? 0.35*). Regression analyses indicated that PsyCap and generation jointly predicted cognitiveemotional (R = 0.04, p =.008) and functional impairments (R = 0.056, p =.001), with self-efficacy emerging as a significant negatively associated with functional impairment (B = ? 0.12, p =.043). Conclusion: Gen Z experiences greater emotional and functional impacts of climate anxiety compared to older cohorts, while self-efficacy offers a modest buffering effect for functional impairment. These findings underscore the need for interventions that strengthen psychological resources and adaptive coping to mitigate climate-related distress among younger populations. The Author(s) 2026. -
The Role of Psychoactive Drugs in the Onset of Dissociative Identity Disorder: A Comparative Study of Alcohol and Drug Abusers
Psychoactive substances influence mood, cognition, and personality, with emerging synthetic drugs presenting new challenges. This study examines the impact of psychoactive drug use on the development of dissociative identity disorder (DID), comparing alcohol and drug abusers. A total of 120 participants (60 alcohol abusers, 60 drug abusers) from Suman Ellen Trust in Bangalore were assessed using standardized psychological instruments, including the Addiction Severity Index, Dissociative Disorders Interview Schedule, Drug Abuse Screening Test, and Dissociative Experiences Scale. A mixed-methods approach was employed, incorporating both quantitative (ANOVA, Pearson correlation) and qualitative (thematic analysis) methodologies to analyze dissociative symptoms and substance use patterns. Findings revealed a significant difference in DID prevalence between alcohol and drug abusers (F = 55.88, p <.01), with drug abuse showing a strong positive correlation with dissociative symptoms (r = 0.790, p <.01). The study highlights the need for integrated clinical approaches addressing both substance use disorders and dissociative pathology. Future research should focus on longitudinal studies to clarify causal mechanisms and develop targeted intervention strategies. 2026 Taylor & Francis Group, LLC. -
The Role of Prescriptive Analytics on Product Availability Towards Improved Customer Loyalty in Quick Commerce
Quick commerce (Q-commerce) has transformed retail by enabling ultra-fast deliveries, requiring optimised product assortment and inventory management. While traditional e-commerce offers a broad product range and competitive pricing, its delivery limitations led to Q-commerces emergence, ensuring fulfilment within 30min to a few hours. This study applies prescriptive analytics, machine learning and optimisation algorithms to enhance decision-making in Q-commerce. Advanced forecasting models, such as LSTM networks, improved demand forecasting with a Mean Absolute Error (MAE) of 0.25 and Root Mean Square Error (RMSE) of 0.35, reducing inventory costs by 10%. Linear programming optimised product mix, increasing sales by 15%. LSTM demonstrated high accuracy in predicting demand patterns, ensuring the availability of high-demand products while minimising overstock. Market Basket Analysis (MBA) revealed significant product associations, streamlining fulfilment centre operations and enhancing cross-selling strategies. Market Basket Analysis (MBA) using the Apriori algorithm identified key product associations, reducing picking times by 20% and boosting order value by 12%, contributing to a 15% rise in overall sales. Personalised recommendation systems using collaborative and content-based filtering increased conversion rates by 20% and customer retention by 15%. Despite these advancements, challenges in computational feasibility and synthetic data applicability persist. Future research should focus on real-time analytics and adaptive inventory strategies to enhance scalability and efficiency. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
The role of personal harmony and organisational citizenship behaviour in enhancing job satisfaction of teachers working in Indian higher educational institutions during the COVID-19 catastrophe in the VUCA world
Purpose: The COVID-19 pandemic has been a good example of a Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) world. Higher educational institutions (HEIs) have faced a massive hit because the jobs in this industry have become unexpected. Considering the most valuable assets 'Teachers' crunched in the VUCA crisis, the study intends to determine if personal harmony (PH) and organisational citizenship behaviour (OCB) would enhance teachersjob satisfaction (JS). Design/methodology/approach: Data are collected from the teachers of Indian HEIs and teachers who have experienced the impact of the COVID-19 catastrophe (VUCA). Considering the pandemic restrictions, data have been collected through an online survey (N = 364). Practical Implications: PH is an individual's internal quality and attribute that cannot be developed on force or situational need. Even in an uncertain situation, teachers have tried their best to contribute through professional service. Hence, people who possess PH contribute their best even though unsatisfied with their jobs. Originality/value: This study has focused on finding the relationship between two different variables, PH and OCB (which has not been explored in Asian countries, majorly in India, where it has a vast cultural diversity and structure influencing the educational policies) that hinders the factors influencing JS, where these two variables are highly influenced by hygiene factors such as values, culture, ethical standards, personal belief, leadership styles, and fair treatment showcased by the organisations/institutions. 2024 The authors. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
The role of perception in recruitment processes
Perception is a crucial factor in recruitment processes that can significantly impact candidate selection, interviewer biases, and the recruitment experience. This chapter explores the role of perception in recruitment by discussing the perception process, factors that influence perception, and the effects of perception on recruitment. It offers strategies for overcoming biases and improving perception in recruitment practices, such as training and education, structured interviews, transparent communication, and positive candidate experience. By understanding the impact of perception on recruitment, recruiters and human resource professionals can design effective recruitment processes that attract suitable candidates and promote a diverse and inclusive workforce. Recognizing the role of perception has broader implications for organizations, as it can foster a culture of inclusivity where individuals feel valued, respected, and supported. This chapter provides insights into how perception affects recruitment and offers practical strategies for improving recruitment practices. 2023, IGI Global. All rights reserved. -
The Role of Perceived Organisational Support in Predicting Organisational Commitment and Organizational Citizenship Behavior in Professional Organizations
The study examined the "role of perceived organisational support in predicting organisational commitment and organisational citizenship behaviour in professional organisations". The primary data was acquired through a questionnaire from 200 respondents (employees from the finance and technology sectors) via a stratified random sampling technique. Excel and SPSS 26 were utilised for data analysis, and Statistical tools such as Anova, regression and correlation were used. The results demonstrated that perceived organisational support (POS) positively influences organisational commitment. Moreover, it has been found that perceived organisational support (POS) and organisational citizenship behaviour (OCB) in professional organisations have a substantial correlation, and there are significant differences in the perception of organisational support, commitment, and OCB among professionals working in the technology and finance sectors. This study can assist decision-makers and managers in the finance and technology sector in creating a comprehensive plan for organisational support and development programs that effectively include employees in their job responsibilities. The study provides valuable insights into the importance of perceived organisational support in fostering organisational commitment and citizenship behaviour. 2024, Creative Publishing House. All rights reserved. -
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The Role of Nanoparticles in Response of Plants to Abiotic Stress at Physiological, Biochemical, and Molecular Levels
In recent years, the global agricultural system has been unfavorably impacted by adverse environmental changes. These changes in the climate, in turn, have altered the abiotic conditions of plants, affecting plant growth, physiology and production. Abiotic stress in plants is one of the main obstacles to global agricultural production and food security. Therefore, there is a need for the development of novel approaches to overcome these problems and achieve sustainability. Nanotechnology has emerged as one such novel approach to improve crop production, through the utilization of nanoscale products, such as nanofertilizer, nanofungicides, nanoherbicides and nanopesticides. Their ability to cross cellular barriers makes nanoparticles suitable for their application in agriculture. Since they are easily soluble, smaller, and effective for uptake by plants, nanoparticles are widely used as a modern agricultural tool. The implementation of nanoparticles has been found to be effective in improving the qualitative and quantitative aspects of crop production under various biotic and abiotic stress conditions. This review discusses various abiotic stresses to which plants are susceptible and highlights the importance of the application of nanoparticles in combating abiotic stress, in addition to the major physiological, biochemical and molecular-induced changes that can help plants tolerate stress conditions. It also addresses the potential environmental and health impacts as a result of the extensive use of nanoparticles. 2023 by the authors. -
The Role of Mega-events In Promoting Sustainable Behaviour: A Multi-group Analysis Using Micom
This study investigates the influence of participation in mega events, like Dubai Expo 2020, on factors related to environmentally responsible behavior. Data from 361 UAE respondents were collected, examining environmental concern, social and personal norms, ethical obligations, and perceived behavioral control. Partial Least Squares Structural Equation Modeling and Multi-Group Analysis tested the hypotheses. The results showed that environmental concern, ethical ideologies, and perceived behavioral control had stronger impacts on the intention for responsible behavior in event attendees than in non-attendees. Attendees also demonstrated a stronger positive impact on sustainable consumer behavior. These findings offer valuable insights into environmental psychology, sustainability, consumer behavior, and event management, and can inform strategies for promoting sustainable behavior in industries such as travel, tourism, and hospitality. 2024 Taylor & Francis Group, LLC. -
The Role of Mega-events In Promoting Sustainable Behaviour: A Multi-group Analysis Using Micom
This study investigates the influence of participation in mega events, like Dubai Expo 2020, on factors related to environmentally responsible behavior. Data from 361 UAE respondents were collected, examining environmental concern, social and personal norms, ethical obligations, and perceived behavioral control. Partial Least Squares Structural Equation Modeling and Multi-Group Analysis tested the hypotheses. The results showed that environmental concern, ethical ideologies, and perceived behavioral control had stronger impacts on the intention for responsible behavior in event attendees than in non-attendees. Attendees also demonstrated a stronger positive impact on sustainable consumer behavior. These findings offer valuable insights into environmental psychology, sustainability, consumer behavior, and event management, and can inform strategies for promoting sustainable behavior in industries such as travel, tourism, and hospitality. 2024 Taylor & Francis Group, LLC. -
The role of meditation and mindfulness in the management of polycystic ovary syndrome: a scoping review
Polycystic Ovary Syndrome (PCOS) presents multifaceted challenges affecting womens reproductive, metabolic, and psychological systems, consequently impacting their psychological and emotional well-being. The utilization of meditation and mindfulness interventions (MMIs) is found to be increasing for the management of PCOS. This scoping review systematically explored the current literature to identify the type and application of MMIs for PCOS management. A systematic search of literature was conducted using CINAHL, PsycINFO, Scopus, MEDLINE, and PubMed databases for identifying studies conducted on the usage of MMIs in women diagnosed with PCOS, irrespective of age. The comprehensive search identified 14 trials (comprising 17 citations) meeting inclusion criteria, involving 723 participants across various age groups. Among these, nine were randomized controlled trials (RCTs), while the remaining comprised non-RCTs. Several types of MMIs, including Rajayoga of Brahmakumaris, Yoga Nidra, OM cyclic meditation, unspecified forms of meditation, mindfulness-based stress reduction programs, mindful yoga, and mindfulness-based activities, were used. Outcomes were predominantly assessed in psychological domains (n=11), followed by anthropometric (n=9), quality of life (n=7), and metabolic metrics (n=7). The review findings suggest the integration of meditation with conventional treatment modalities. Preliminary data indicate that MMIs have the potential to improve psychosocial well-being and quality of life among PCOS-affected women. However, adequately powered studies with extended follow-up periods are required to investigate the mechanisms and therapeutic efficacy of MMIs, particularly concerning reproductive outcomes and weight management. Furthermore, diligent monitoring and reporting of adverse events and adherence are essential for a comprehensive understanding of MMI utilization in PCOS management. Copyright 2024 Rao, Pena, James, Phadke, Grover, Blendis, Choudhary and Kampegowda. -
The Role of Major-Sport Event Cricket with Respect to Consumer Perception and Attitude Towards Ambush Marketing
International Journal of Business and Management Invention, Vol-2 (10), pp. 76-81. ISSN-2319-801X -
The Role of Machine Learning in Shaping Virtual Reality Educational Experiences: A Multi-Model Analysis
The integration of Virtual Reality (VR) in educational settings offers unique opportunities for enhancing learning experiences and outcomes. This study evaluates the efficacy of various machine learning models in predicting student engagement and educational outcomes within VR-enhanced learning environments. Utilizing a dataset comprising 5,000 entries related to VR usage in education, we applied both classification and regression machine learning techniques to predict binary outcomes (e.g., the usage of VR in education) and continuous outcomes (e.g., levels of student engagement). Models such as Logistic Regression, Random Forest, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Decision Trees, and advanced regression techniques including Ridge, Lasso, Polynomial Regression, and Support Vector Regression (SVR) were systematically analyzed. The performance of each model was assessed based on accuracy, precision, recall, F1-score, R2, MSE, and MAE. We find that models such as SVM and Random Forest performed well for classification tasks and handled imbalances in classes gracefully, while SVR and Random Forest Regressor did a better job at regression tasks, being able to capture complex, nonlinear relationships in the data. It highlights the possibility that machine learning can accurately predict outcomes of VR engagement and perhaps can help inform VR-based education design to be more effective. The goal of this comparative analysis is to provide guidance for educators and technologists in deciding which machine learning strategy is suitable to facilitate education in VR with regard to improving educational outcomes. 2025 IEEE. -
The Role of Machine Learning Analysis and Metrics in Retailing Industry by using Progressive Analysis Pattern Technique
Analyzing customer purchasing data has been a challenging task for data analyzers. Even though lots of methods are introduced in this kind of research but still many barriers are there to finding the optimal pattern. Consider customer buying data is used to examine the types of parameters which is influence the customer. In this proposed work, Progressive Analysis Pattern Technique (PAPT) to predict future customer buying patterns in online shopping. We incorporated dynamic data handling prior to the proposed methodology. It will give ample purpose for the organization's perspective because the proposed work primarily focused on customer features related to the number of product quantities and product price variations of the previous purchase. Marketing strategies are most effective if they are focused to the exact client requirements. A Significant mission in campaign planning is deciding which customer to target. This research paper focusses on empirical targeting models. 2023 IEEE. -
The Role of Local and Regional Governments in Fostering Cross-Border Climate Cooperation
With climate change increasingly crossing political boundaries, the importance of local and regional governments (LRGs) in promoting cross-border climate cooperation has grown significantly. LRGs are often better positioned than national governments to tackle localized climate challenges through context-specific collaboration. This chapter examines the growing importance of LRGs in transboundary climate governance, emphasizing their ability to innovate, involve communities, and carry out adaptive solutions. It investigates mechanisms like cross-border networks, inter-municipal forums, joint environmental initiatives, and digital platforms that facilitate collaboration among subnational actors across borders. Through the examination of global case studies and policy scrutiny, this chapter pinpoints essential obstacles-like financial shortfalls and legal constraints-and proposes tactical policy suggestions, such as bolstering legal acknowledgment, establishing regional climate funds, and fostering knowledge sharing. 2026, IGI Global Scientific Publishing. All rights reserved. -
The role of legal aid clinics in enhancing the employability, entrepreneurship and foundation skills for law students: A qualitative analysis
Access to justice is the basic postulate of a legal system. In this endeavour, universities have a unique institutional advantage to make a potential contribution to 100% access to justice by fostering a strong culture of social responsibility through innovative pro bono legal service initiatives and inculcating the professional value of legal service in the students and motivating them to develop a critical consciousness for social justice linked to the holistic development of law students. Consequently, the impact analysis of this training on global opportunities, both in terms of employability and higher education, formed the kernel of this chapter. Through in-depth interviews, focus group discussions and perspectives of researchers as participants in statelevel Legal services clinics, data was collected. Several key indicators were identified to analyze the expanded and holistic role of legal aid clinical education to effectively prepare students for their future. The study crystallizes a model for legal aid clinical courses by which Universities can deliver cutting-edge life and employability skills and enhance the professional competence of law students through direct participation in legal aid services. 2024 Nova Science Publishers, Inc. -
The Role Of Leadership Behaviour On Team Success In Omani Healthcare: A Mediation Analysis In Diverse Clinical Settings
This study investigates the mediating role of leadership behavior in enhancing team processes and overall team success within the healthcare sector in Oman. Drawing upon the Leading Diversity (LeaD) model, the research conceptualizes the dynamics between leadership behavior, team process effectiveness, and team success in healthcare teams. A structured survey was administered to 25 team leaders representing hospitals and primary care centers across Oman, capturing perspectives on leadership competencies, team collaboration, and outcomes. Using Confirmatory Factor Analysis (CFA), the findings reveal that task-based leadership behavior partially mediates the relationship between effective team processes and team success. This indicates that while structured team processes are essential, their effectiveness is significantly enhanced when complemented by proactive, goal-oriented leadership. The study reinforces the critical role of leadership in navigating cultural and professional diversity among healthcare professionalsincluding physicians, nurses, technicians, and administrators. In Omans evolving healthcare landscape, characterized by modernization, resource pressures, and rising patient expectations, effective leadership is shown to improve patient care, reduce clinical errors, and enhance staff morale and communication. While the study accounts for potential social desirability and common method bias, measures were taken to minimize these effects. The application of the LeaD model in a healthcare context marks a novel contribution to leadership and healthcare management literature, emphasizing that inclusive, adaptive leadership is not only beneficial but necessary for delivering high-quality healthcare in multicultural environments. 2025, Green Publication. All rights reserved.