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An empirical investigation of foreign direct investment and economic growth in SAARC nations
Purpose This paper aims to investigate the causal nexus between foreign direct investment (FDI) and economic growth in SAARC countries. Design/methodology/approach Johansen's cointegration test was employed to examine the long?run relationship between foreign direct investment and economic growth in SAARC countries. Besides, the vector error correction model (VECM) was employed to examine the causal nexus between foreign direct investment and economic growth in SAARC countries for the years 1970?2007. Finally, the impulse response function (IRF) has been employed to investigate the time paths of log of foreign direct investment (LFDI) in response to one?unit shock to the log of gross domestic product (LGDP) and vice versa. Findings The Johansen cointegration result establishes a long?run relationship between foreign direct investment and gross domestic product (GDP) for the sample of SAARC nations, namely, Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. The empirical results of the vector error correction model exhibit a long?run bidirectional causal link between GDP and FDI for the selected SAARC nations except India. The test results show that there is a one?way long?run causal link from GDP to FDI for India. Research limitations/implications This paper employed annual data to examine the causal nexus between FDI and economic growth. Therefore, researchers are encouraged to test the FDI?growth relationship further by using quarterly data. Practical implications The SAARC nations should adopt effective policy measures that would substantially enlarge and diversify their economic base, improve local skills and build up a stock of human capital recourses capabilities, enhance economic stability and liberalise their market in order to attract as well as benefit from long?term FDI inflows. Originality/value This paper would be immensely helpful to the policy makers of SAARC countries to plan their FDI policies in a way that would enhance growth and development of their respective economies. 2011, Emerald Group Publishing Limited -
Tourism and Economic Growth in Sri Lanka: An ARDL Bounds Testing Approach
The purpose of the study is to examine the impact of tourism on economic growth in Sri Lanka through the Autoregressive Distributed Lag (ARDL) bounds testing approach. The analysis was carried out for the period from 1969 to 2009. By and large, our analysis reveals that tourism has a positive impact on economic growth in Sri Lanka both in the short-run and long-run. 2012, National Institute of Urban Affairs (NIUA). All rights reserved. -
Causality among Energy Consumption, CO2 Emission, Economic Growth and Trade: A Case of India
The present study attempts to examine the causal nexus between energy consumption, CO2 emissions, economic growth and trade in India using the Perron (1989) unit root test, Gregory and Hansen (1996) cointegration test and vector error-correction model (VECM). The study results exhibit a long-run relationship between energy consumption, CO2 emissions, economic growth and trade in India. The empirical results confirm that energy consumption influences the economic activity in the short run, implying that higher rate of economic growth is driven by consumption demand for energy in the economy. This is also well in consistence with the findings of Paul and Bhattacharya (2004) in the Indian context. Further, the study detects one-way causation that exists from energy use to CO2 emission and trade, and CO2 emissions to economic growth in the short run. 2015 Indian Institute of Foreign Trade. -
Stock Market Linkages in Emerging Asia-Pacific Markets
Stock Market Linkages in Emerging Asia-Pacific Markets -
Essential employable skill sets in management graduates for finance job roles in India
Purpose: There has been an increase in the number of highly qualified management graduates specialized in finance from various esteemed universities in India, thus increasing the competition for finance job roles in the country. This, therefore, brings in the need for the employees or the prospective candidates to mold their soft skills so as to make them desirable by the companies and hence employable. The purpose of this paper is to provide a list of skills required by management graduates to become employable for finance job roles from the perspective of corporate executives. This list will enable prospective candidates to prepare themselves for a career in the field of finance. Design/methodology/approach: The research was carried out through the collection of data from 117 finance professionals with a minimum work experience of 5 years with the help of structured questionnaires. This was then analyzed through factor analysis and the list of 15 factors was obtained. Findings: A list of 15 essential factors was obtained through the analysis of the data. The essential skills included empathetic and judicious behavior, professional etiquette and employee well-being, ethical behavior, conflict management, change analysis and prediction; practicality and organizational presence of mind; social and moral presence of mind; self-confidence and effective written communication; effective interpersonal communication and employee value systems; responsibility and self-awareness; problem diagnosis and problem-solving; real-time work and activity experience; professional development and advancement; technology rationalization and effective information generation. The findings also included that a candidate should be able to effectively present crucial information and should possess practical advisory skills. Originality/value: The study will be highly beneficial for management graduates who have specialized in finance to secure finance job roles in India. This paper will enable the students to prepare themselves in the essential soft skills required for these job roles apart from technical knowledge and hard skills. 2021, Emerald Publishing Limited. -
Role of Experiential Learning Program on Business Writing Skills of Management Students
Purpose: Writing has been identified as an important skill. Business writing refers to the form of writing that is used to communicate in formal settings in various corporations and organizations. A number of research studies have identified writing as a crucial skill that needs to be developed by students. The purpose of the study is therefore to understand how an experiential learning module on business writing can improve the email-writing and report-writing skills of management postgraduates. Design/Methodology/Approach: The study uses an experimental research methodology based on experiential learning pedagogy to obtain the results of the intervention on the business writing skills of the management postgraduate students. The module was developed by the researcher and then was taught to the students through the online platform Zoom. Pretest, posttest, and delayed posttest analysis was conducted to find the impact of the intervention. The students were evaluated by an industry expert to avoid bias as they were trained by the researcher. Findings: The results of the study indicated that the intervention had a significant impact on the business writing skills of the participants. The results of the component analysis also indicated a large effect on the content, persuasive abilities, lateral thinking abilities, and the interpersonal skills of the participants in written communication. The analysis of the test scores revealed that an initial training based on the experiential learning methods can have a long-term impact on the improvement of the skills of the students, as the delayed posttest results were more than the posttest results. Originality/value: The study will be beneficial to educators, trainers, as well as students in understanding how experiential learning can impact the business writing skills of the students. 2024 by the Association for Business Communication. -
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Tourism and Economic Growth in Sri Lanka: An ARDL Bounds Testing Approach
The Romanian Economic Journal Vol. 15, No. 45, pp. 211-226, ISSN No. 1454-4296 -
IoT-Driven Dynamic Behavior Intervention Model for Sustainable Hygiene Practices: Insights from Household Water Consumption
IoT-enabled technologies have advanced so that smart sensor systems can observe and recognize human behavior in various contexts, including energy consumption and healthcare, with remarkable efficiency and effectiveness. One example is using the Internet of Things (IoT) technology to better comprehend human water consumption behavior and establish and maintain clean environments. Static models have typically been used to model the behavior intervention process throughout time. While these static approaches perform adequately when predicting general human behavior, they fall short when tracking and reacting to shifts in behavior in IoT settings. The authors of this study proposed a dynamic behavior intervention model to forecast the hygiene-related water-use habits of individual households. This model takes its cues from the structure equation model method and the notion of control engineering, which originated in the expanded theory of planned behavior (ETPB). The current ETPB dynamic behavior model with system parameter estimation using an artificial neural network (ANN)is assessed for its intervention trend using a residential water use case study. It has been shown that the ETPB dynamic model helps the process of intervening in peoples behavior. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Breaking the Cycle of Child Labor in Dehradun: A Multidimensional Study on Causes and Challenges
Child labor remains a critical issue, particularly in developing nations like India, where millions of children are deprived of their right to education and safe childhood due to poverty, marginalization, and inadequate policy implementation. This study explores the underlying causes, occupational patterns, and harmful consequences of child labor in Dehradun, Uttarakhand. It highlights that children are primarily engaged in agriculture, domestic work, and small industries, often facing physical and mental exploitation. Despite existing legal frameworks and initiatives like the Child Labor (Prohibition and Regulation) Act and National Child Labor Projects, enforcement challenges persist. The study uses cross-sectional and triangulation methods to analyze data from 42 child laborers and suggests a holistic approach, including poverty alleviation, quality education, community empowerment, and rehabilitation services, as key to combating child labor. It emphasizes the need for multi-stakeholder participation to ensure child rights and reduce labor dependency among vulnerable families. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development. -
Comparison for Institutional and Non-Institutional Caregiving for the Older Adults
This comparative study explores institutional and non-institutional caregiving models for older adults, with a focus on quality of care, emotional well-being, and support systems. Institutional care offers structured, 24/7 medical and social support in settings like old age homes and nursing facilities, suitable for those with chronic conditions or family neglect. Non-institutional care is community- or home-based, emphasizing personalized attention and emotional bonds provided by family members and caregivers. The research, conducted in Trichy District, a mixed-method approach to assess caregiving outcomes among 243 participants aged 60 and above. The study highlights the strengths and limitations of both models, emphasizing the need for strategic interventions, caregiver training, and policy reforms. It proposes an integrated, person-centered approach to enhance eldercare effectiveness, reduce caregiver burden, and promote sustainable support services. The findings aim to inform healthcare providers, policymakers, and stakeholders for improved eldercare delivery. Copyright 2026, IGI Global Scientific Publishing. -
The Scope and Impact of Palliative Care in Dehradun Addressing Psychological Distress and Technological Integration
Palliative care plays a crucial role in addressing the physical, psychological, emotional, and spiritual needs of patients suffering from life-threatening conditions and chronic illnesses. Despite its recognized benefits, global access remains limited, with only a fraction of patients receiving appropriate care. Palliative care in managing patient illness, alleviating psychological distress, and supporting caregivers. It highlights the role of healthcare professionals, digital technologies, and psychosocial interventions in improving patient well-being. The research is conducted in Dehradun, Uttarakhand, focusing on palliative care centers and the challenges faced by patients and caregivers. Using both primary and secondary data, the study examines caregiving processes, emotional burnout, and the integration of assistive technologies in palliative settings. Findings emphasize the importance of awareness, training, and innovative approaches in enhancing palliative education and services. Improving patient-centered care and caregiver support within resource-constrained contexts. Copyright 2026, IGI Global Scientific Publishing. -
Domestic Violence and Workplace Harassment: Health and Social Implications for Women
Violence against women (VAW) remains a critical public health and human rights concern, affecting women's physical, mental, and social well-being in both family and workplace settings. This study examines the prevalence and patterns of domestic violence and workplace harassment and their impact on women's health in urban areas of Trichy District, Tamil Nadu. Using a cross-sectional mixed-methods approach, data were collected from 320 women aged 1855 years through surveys and interviews. The findings reveal that nearly half of the respondents experienced domestic violence, primarily emotional, verbal, economic, physical, and sexual abuse, largely perpetrated by intimate partners and linked to substance use. Workplace harassment affected over one-third of working women, with weak reporting mechanisms and limited institutional support. The study highlights significant health consequences, underreporting due to stigma and dependence, and the need for integrated legal, health, and empowerment-based interventions to address violence against women effectively. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Enhancing Mental Health and Treatment Adherence in HIV/AIDS Patients Through Strengthened Social Networks
The study explores how social networks and support enhance the health and treatment adherence of HIV patients. HIV/AIDS affects not only physical health but also leads to social stigma, discrimination, and emotional challenges. A strong social network improves the quality of life, reduces psychological issues like anxiety and depression, and promotes overall well-being. Strengthening network sustainability for vulnerable HIV/AIDS patients can enhance emotional support, self-care, and treatment adherence. Conducted in Pudukottai District, Tamil Nadu, the study involved 120 samples, with data collected through the Positive Network and NGO support. The findings offer policy implications, assist healthcare providers in managing affected individuals effectively, and highlight the role of NGO services in improving mental health outcomes and creating a supportive environment for PLHIV. Copyright 2026, IGI Global Scientific Publishing. -
Role of Experiential Learning Program on Business Writing Skills of Management Students
Purpose: Writing has been identified as an important skill. Business writing refers to the form of writing that is used to communicate in formal settings in various corporations and organizations. A number of research studies have identified writing as a crucial skill that needs to be developed by students. The purpose of the study is therefore to understand how an experiential learning module on business writing can improve the email-writing and report-writing skills of management postgraduates. Design/Methodology/Approach: The study uses an experimental research methodology based on experiential learning pedagogy to obtain the results of the intervention on the business writing skills of the management postgraduate students. The module was developed by the researcher and then was taught to the students through the online platform Zoom. Pretest, posttest, and delayed posttest analysis was conducted to find the impact of the intervention. The students were evaluated by an industry expert to avoid bias as they were trained by the researcher. Findings: The results of the study indicated that the intervention had a significant impact on the business writing skills of the participants. The results of the component analysis also indicated a large effect on the content, persuasive abilities, lateral thinking abilities, and the interpersonal skills of the participants in written communication. The analysis of the test scores revealed that an initial training based on the experiential learning methods can have a long-term impact on the improvement of the skills of the students, as the delayed posttest results were more than the posttest results. Originality/value: The study will be beneficial to educators, trainers, as well as students in understanding how experiential learning can impact the business writing skills of the students. 2024 by the Association for Business Communication -
Role of Soft Skills Development Programme on Employable Skills of Management Students in Bengaluru
With the increase in technology access, the expectations of the employers while hiring the candidates has increased manifold. The newlinecandidates however do not possess the required skills as expected by the corporate professionals. The study, therefore, aims to understand the impact of an employable newlineskill training module based on experiential learning on the soft skill development of management postgraduate students. The study used a one-group pre-test post-test design. The study was based on the Experiential newlineLearning Theory (Kolb, 1984) and the Theory of Multiple Intelligences (Gardner, 1983). In order to find the essential skill sets that have to be possessed by management postgraduates a systematic review of literature of 243 included studies was conducted to understand the skill sets required by management postgraduates. newlineFrom the analysis, it was found that formal communication skills like oral communication, meeting participation, written communication could be effectively developed using the modules with a high effect on the skill newlinedevelopment. The modules were also found to have a significantly large effect on the problem-solving, persuasiveness, critical thinking and lateral thinking skills of the students. In addition to the above, the modules created a deeper understanding of the strengths, capabilities and the weaknesses of newlinethe participants and enabled them to communicate the same effectively thus newlinepreparing them for interviews and group discussions. The modules additionally enabled the participants to appropriately use gestures, tone and their voice in formal communication in a manner that can enhance the effectiveness of their communication. These skills were also found to be lacking in students according to the studies of Abas and Imam (2016); Andelt et al., (1997); Cotton (1993); Crosling and Ward (2002); Gandhi (2013); Hodges and Burchell (2003); Jackson (2009); Levy and Canon (2016) among newlineothers. -
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Change detection and classification of satellite images using convolutional neural network
Satellite and airborne imagery, collectively known as earth observation imagery, are images of the earth collected from spaceborne or airborne platforms such as satellites and aircraft. Over the last 100 years, with the fast development of aviation, space exploration, and imaging technologies, the coming together of these technologies has been inevitable. Earth observation imagery has many applications in regional planning, geology, reconnaissance, fishing, meteorology, oceanography, agriculture, biodiversity conservation, forestry, landscape, intelligence, cartography, education, and warfare. With the rise in the number of these airborne and spaceborne imaging platforms being deployed by government and private entities alike, the capability to sift through and analyze vast amounts of data generated by these platforms is the need of the hour. With the exponential improvement in the computational capabilities of computers over the last half a century, analysts are exceedingly moving towards the practice of artificial intelligence, machine learning (ML), and computer vision solutions to automate a large part of the processes employed in analyzing earth observation imagery. This work recommends a workflow to perceive and classify changes in earth observation imagery of a given area by utilizing the vast flexibility that convolutional neural networks (CNN) provide. This is an open access article under the CC BY-SA license. https://creativecommons.org/licenses/by-sa/4.0/. -
Decision-Making Models for Efficient Outbreak Response: A Management-Orientated Approach to Dengue Control in Andhra Pradesh, India
Dengue remains a serious health challenge across India, and Andhra Pradesh faces repeated outbreaks that put a heavy strain on hospitals, clinics, and communities. Combating this disease isnt just about tracking casesits about making quick, smart decisions to control its spread effectively. This study looks into different decision-making approaches that can help improve how Andhra Pradesh responds to dengue outbreaks, making actions faster and more targeted. Using a mix of existing epidemiological data, interviews with health officials and community leaders, and simulated scenarios, the research explores how tools like Multi-Criteria Decision Analysis (MCDA), the Analytic Hierarchy Process (AHP), and Decision Tree Analysis can assist in choosing the best strategies. These models help prioritise interventions such as resource distribution, vector control efforts, and public awareness campaigns, especially when dealing with uncertainties like limited resources or unpredictable case surges. The findings indicate that integrating these decision-making frameworks into public health planning can foster better coordination among policymakers, healthcare workers, and local authorities. This improved coordination can lead to quicker responses, more effective use of resources, and ultimately, a reduction in dengue cases and their impact on communities. The study emphasises that combining management science tools with traditional epidemiology isnt just helpfulits essential for strengthening outbreak preparedness. Plus, these approaches can be adapted to tackle other communicable diseases in India and similar settings worldwide, paving the way for smarter, more resilient public health systems. 2025, Indian Society for Malaria and Communicable Diseases. All rights reserved.