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Emotional Intelligence and Cross-Cultural Adaptation of Indian Students in the Context of Interstate Education
India is known for its cultural diversity based on several factors, such as language, religion, race, and customs. In India, people used to move from one place to another for various purposes, and this was particularly the case with students in pursuit of education. In such situations, cross-cultural adaptation is one of the factors that facilitate their adjustment to new cultures and surroundings. Cross-cultural adaptation is needed when a person has to live in a different cultural setting than their own native place. Being sensitive to others emotions is essential when one lives in a new place. Emotional intelligence helps in that way and influences cross-cultural adaptation. Therefore, the present study was intended to explore the influence of emotional intelligence on cross-cultural adaptation. As many as 332 students, aged 17 to 29, who moved to another state for education, participated in the study. Emotional Intelligence Scale and Cross-Cultural Adjustment Scale were used for data collection. The components of emotional intelligence, such as self-emotional appraisal (SEA) and others emotional appraisal (OEA), were found to significantly influence expatriate adjustment. Furthermore, SEA and OEA have also influenced cultural novelty and the use of emotions (UOE). Students from rural areas were found to have more cross-cultural adaptation in the presence of their friends company compared to urban dwellers. In summary, the current study emphasizes the importance of higher emotional intelligence for better cross-cultural adaptation. 2025 Common Ground Research Networks. All rights reserved. -
A Novel and Efficient Deep Learning Models for Assessing AIs Impact on Disease Diagnosis in Agriculture
Background: Agriculture sustains human life by providing food, raw materials and employment opportunities. However, climate change and resource limitations pose significant challenges to crop production. AI-driven smart farming has emerged as a solution to enhance agricultural efficiency, with Explainable AI (XAI) improving transparency in decision-making. Innovations such as smart sensors and automated systems have benefited key agricultural sectors, including crops, forestry, livestock and aquaculture. Turmeric, valued for its medicinal and economic significance, requires careful monitoring to combat diseases like leaf spot and leaf blotch, which can impact yield and quality. Methods: This study introduces turmeric net, a Convolutional Neural Network (CNN)-based model leveraging transfer learning to detect and classify turmeric leaf diseases. The dataset used consists of 791 original images and 3,702 augmented images obtained from mendeley data, categorized into four classes: healthy leaf, dry leaf, leaf blotch and rhizome rot. The model development was carried out using TensorFlow, with ResNet50V2 as a baseline for comparison. The models were trained on processed image data, incorporating augmentation techniques to improve robustness and generalizability. Result: The accuracy of both models was evaluated. ResNet50V2 achieved an accuracy exceeding 99%, demonstrating high effectiveness in disease classification. Meanwhile, TurmericNet attained a competitive accuracy of 98%, making it a reliable alternative for turmeric disease identification. These results indicate that deep learning-based models can significantly aid in early disease detection, providing farmers with a valuable tool to enhance crop management and productivity. 2025 , Agricultural Research Communication Centre. All rigths reserved. -
Trends and Direction of Land Use Change in the Perspective of Urbanization in Karnataka: A District Level Study
Background: Urbanization and industrialization are mainly responsible for the conversion of large tract of agricultural lands and other vegetation-rich lands to non-agricultural purposes. Land and its utilization across various activities must be analysed to frame suitable policies for optimum land use. In Karnataka, the share of the net sown and non-agricultural areas increased. However, the share of permanent pasture and other grazing lands, barren and unculturable land, current and other fallow lands, culturable wasteland and land under miscellaneous tree crops and groves decreased compared to their share in 2000-01. The goal is to explore the direction of land use change between these land use categories in the context of urbanization. Methods: We utilized the district-level data sourced from reports of the Directorate of Economics and Statistics of the Government of Karnataka, enabling us to conduct a robust panel data regression using fixed effects model that empirically establishes the relationships between different land use categories, particularly non-agricultural land, barren land and arable land, from 2000-01 to 2020-21. We recorded the land use changes in the major land use classes at the district level by comparing the temporal dynamics for 2000-01 to 2020-21 and also studied the dynamics of each categorys land use outcomes and the changes in urbanization status at the district level. Result: This study provides a detailed insight into the trends and direction of land use changes in Karnataka from the perspective of urbanization, which has been getting a significant focus in the countrys development. The studys findings have significant policy implications, as they underscore how rapid population growth and the expansion of non-agricultural areas at the district level negatively impact arable and barren land. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
An Investigation into the Effects of Varying Seasons, Indole-3-Butyric Acid (IBA) and Rooting Media on the Rooting and Longevity of Air-layered Water Apples (Syzygium samarangense L.)
Background: The variation observed in sexual propagation often results in slow growth and fruit development, attributed partly to insufficient photosynthates during early growth stages. To address this challenge, vegetative propagation methods such as air layering offer promising solutions. This technique not only accelerates productivity but also enhances the quality of water apples. Recognizing the importance of air layering in water apple cultivation, this experiment was conducted to standardize this technique by examining the impact of different seasons and planting media in the western tropical wet and dry climate of Tamil Nadu. Methods: The study was conducted to evaluate the variables affecting air layering in water apples in Coimbatore district. The experiment was carried out with three different factors like seasons [August (S1), September (S2) and October (S3)] and IBA [applied at different concentrations of 2000 mg/L (I1), 3000 mg/L (I2) and 4000 mg/L (I3)] along with different rooting media: Cocopeat (M1) and Sphagnum moss (M2). The factorial randomized complete block design (FRCBD) was laid out for statistical analysis. Result: Sphagnum moss performed as a better rooting medium due to its high water holding capacity and good aeration. Increase in the number and early formation of roots were due to more rain fall and high relative humidity in August, that resulted in more nutrient uptake and structural stability. The discovery aids in determining the optimal conditions, including season, dosage and combination (4000 mg/L IBA with sphagnum moss applied in August), for successful air layering in water apple. 2025, Agricultural Research Communication Centre. All rights reserved. -
Robotics, artificial intelligence and service automation (RAISA) A model for smart and sustainable destination management
Technological progress in information and communication technologies (ICTs) has facilitated the implementation of automation and the integration of more advanced technologies in all industries. With the advent of robotics, artificial intelligence and service automation (RAISA) technologies, tourism service providers and market players have redirected their attention from traditional and conventional methods of service delivery to more modern and innovative approaches. Emerging technologies such as big data, mobile internet, the internet of things (IoT), and artificial intelligence (AI) have been fueling a rapid growth in innovations that facilitate a sustainable shift towards social robots. While AI is extensively studied in the field of tourism research, robotics and intelligent service automation have received less comprehensive research attention. The present study endeavors to investigate the prospective landscape of the travel and tourism sector using a rigorous qualitative secondary data analysis approach through web page content analysis on the awareness and usage of RAISA technologies in the global marketplace. The publication proposes four primary research objectives: investigating the advantages of RAISA, evaluating its usage and adaptability, examining the effects and difficulties of implementing the systems, and establishing a sustainable future with RAISA-enabled services. Research in these fields will facilitate the systematic and organized generation of knowledge, enabling the academic community to guarantee the advantageous implementations of intelligent automation in the tourism sector. This work presents a taxonomy for RAISA technologies in tourism and presents a persuasive case for how this interdisciplinary field should be included in conventional tourism research. by the Author,. -
Influence of basic need satisfaction, teacher self-efficacy, work-experience of teachers: Twenty-first-century skills instruction
The purpose of this study is to examine the influence of basic need satisfaction (BNS) and teacher self-efficacy (TSE), as well as work experience, on instructional outcomes related to twenty-first-century skills in schools. The rapidly evolving global landscape necessitates those teachers integrate twenty-first-century skills into classroom instruction. Despite a few studies on teachers ability to integrate innovative skills in instruction, limited empirical evidence exists regarding the influence of intrinsic motivation on the instruction of innovative pedagogical skills. Guided by Self-Determination Theory and Social Cognitive Theory, a conceptual model is developed to guide the influence on the instructional framework of twenty-first-century skills. Data are collected from 658 secondary school teachers across the southern states of India. For data collection, the study uses standardized instruments: the Teacher Sense of Efficacy Scale, the Basic Need Satisfaction at Work Scale, and the Twenty-First-Century Teaching and Learning Survey. The results of correlation, mediation, and moderation analyses have addressed the objectives of the study. Teacher self-efficacy shows different types of mediation effects on various components of basic need satisfaction, autonomy, competence, and relatedness, in its association with the instruction of twenty-first-century skills, which emphasizes their differential importance. Furthermore, work experience shows no moderation effect, suggesting the need for professional support for all teachers, regardless of experience. 2026 Conscientia Beam. All Rights Reserved. -
Thermomechanical Analysis of Cutting Tool Used for Minimizing Tool Wear During Machining of Inconel 718
During the CNC machining process, high stresses and temperatures are created at the cutting edge during machining of Inconel 718 due to severe tool wear. Inconel 718, one of the most often used Ni alloys, has a low machinability. Hence, determination of proper cutting tool to minimize tool wear and reduce surface roughness becomes an important aspect. Considering the scenario, the model-ling of dry turning of Inconel 718, a 3-Dimensional (3D) numerical model based on Finite Element (FE) is used. Turning tests were used to validate the model. The main wear modes that were dis-covered experimentally (chipping, notching, and built up edge BUE) were linked to variables predicted by the computational model, such as temperature and plastic strain at the chip. In this study, response surface methodology is used to design four features, matrix for a flexible composite design consisting of 5 repetitive levels; planning, implementation, implementation and development of mathematical models. Medium cutting strength is determined by the different feed values in the tangential, radial, and axial directions during the tooth by maintaining immersion and axial depth of the cut as constant. A comparison is shown between modeling and experimentation. In this paper, the principal stress and displacement strain has been seen at the tool-work interface region of three cutting tools during machining Inconel 718. Three directions i.e tangential, radial, and axial directions these stress and displacement has been applied to observe the changes and determine the selection of the suitable cutting tool for optimal machining conditions and parameter selection. It is observed that titanium cutting tool can prove to be a better tool to be used for machining Inconel 718 for longer tool life and improve productivity. Major Findings: The principal stress and Von-Mises stress in the thermomechanical analysis during Machining of Inconel 718 is found to be less in titanium cutting tool. This is the most suitable tool that can be used for machining hard to cut material Inconel 718. 2025, Informatics Publishing Limited. All rights reserved. -
Investigating Various Meshing Techniques in Computational Fluid Dynamics (CFD) for their Impact on Heat Transfer Parameters of Fins
The study explores the effects of different meshing techniques on the accuracy and efficiency of heat transfer and fluid dynamics simulations in a finned heat exchanger. A 3D-CAD model, developed in Autodesk Fusion, analysed aluminium fins subjected to a heat flux of 5903 W/m under flow conditions with Reynolds numbers from 8490 to 23300. Four mesh types Tetrahedral, Polyhedral, Hexacore and Poly-Hexacore were compared. Mesh independence analysis showed that Hexacore meshes, especially Mesh Set-F (4,568,602 elements), delivered high accuracy in predicting Nusselt numbers and pressure drops, making them suitable for detailed simulations. Polyhedral meshes, particularly Mesh Set-E (498,044 elements), exhibited the best computational efficiency, ideal for resource-conscious analyses. The study underscores the trade-offs between accuracy and computational cost. Hexacore meshes are recommended for precise evaluations, while Polyhedral meshes are better suited for preliminary designs or time-sensitive applications. However, Hexacore meshes require higher computational resources, limiting their practicality for large-scale or real-time simulations. Major Findings: The findings are valuable for industries such as Heating Ventilation Air Conditioning (HVAC), automotive and electronics cooling, where heat exchanger performance predictions are crucial. By tailoring mesh configurations to specific project needs, engineers can optimise simulation accuracy and computational efficiency, enhancing design workflows and outcomes. The study provides a framework for balancing accuracy and cost, offering insights into mesh selection for effective thermal and fluid performance evaluations. 2025, Informatics Publishing Limited. All rights reserved. -
Phenotypic detection of ?-lactamases producing Klebsiella pneumoniae and Acinetobacter baumannii isolated from the respiratory tract infections
Introduction: With limited treatment options and emerging antimicrobial resistance amongst bacterial pathogens in hospital settings, the alarming condition needs to be addressed. Aim and Objective: The study aimed to determine the antibiotic susceptibility (AST) patterns, and extended spectrum ?-lactamases (ESBL) and Metallo ?-lactamases (MBL) production in Klebsiella pneumoniae and Acinetobacter baumannii isolated from respiratory tract infections (RTI). Materials and Methods: Current study, 1624 samples (sputum, tracheal secretions, suction tip) were collected during June 2020 to September 2022, phenotypically characterized by antibiotic sensitivity test (AST), Extended Spectrum Beta lactamases and Metallo Beta lactamases detection. Results: Of 12.3% (200 isolates), recorded prevalence rate of K. pneumoniae was 10.3% while, A. baumannii showed 1.9%. Following AST, K. pneumoniae displayed highest resistance against Ampicillin (95%), followed by Amoxycillin/clavulanic acid (91%), lowest recorded susceptibility for Tigecycline (39.2%). While, A. baumannii expressed susceptibility to Carbapenem group and Ciprofloxacin (84.3%), lowest Tigecycline (50%). Overall study exhibited Colistin retaining its activity with 100% sensitivity. ESBL production in K. pneumoniae was 31% and 0% in A. baumannii. While, MBL producers was 11%, K. pneumoniae and A. baumannii recorded at 9.5% and 25% respectively. Conclusion: The increasing rates of ESBL producers is concerning, and the current study highlights use of Colistin as the best available antimicrobial for treating such RTI pathogens. Therefore, continuous monitoring of antibiotic-resistant profiles will help to guide effective antimicrobial therapy and management. 2025 The Author(s), Published by Innovative Publications. This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. https://creativecommons.org/licenses/by-nc-sa/4.0/ -
Developing the Skill Set of Generation Alpha through Toy Engagement: Building a Novel, Toy-Based Pedagogy (TBP)
Toy-Based Pedagogy (TBP) is a relevant, recognized teaching approach adopted by educational institutions to enhance the learning curve of children. Toys help Generation Alpha children develop skills, and the current paper underlines the need to include these skills into Indias Toy-Based Pedagogy (TBP) and suggest revisions. The data for the current study is directly elicited from Generation Alpha which is a novel intervention in pedagogical research. Educational pedagogies should be constantly revised and updated catering to the needs of the current generation. The findings of the study are highly relevant, as they highlight what Generation Alpha seeks and values in the current Toy-Based Pedagogy (TBP). The data was collected directly from primary school children aged 6 and 7 years. The paper adopts qualitative methodology and purposive sampling technique to obtain data from children through one-on-one interviews using an interview schedule. Thematic analysis employed suggested that children developed different skills through toy engagement. Furthermore, the study gives deep insights on the revisions required for the existing TBP to better suit the educational needs of Generation Alpha. 2025 by the authors. -
Sustaining teacher social-emotional competence: a systematic review of implementation and retention strategies; [??????????? ?????????-????????????? ?????????????? ????????: ??????????????? ????? ????????? ?????????? ? ???????????]
Social-emotional competence (SEC) refers to educators capacity to regulate emotions, sustain psychological resilience, and cultivate constructive relationships with students, colleagues, and school leadership. Elevated levels of SEC among teachers are strongly associated with enhanced well-being, emotionally supportive classrooms, and improved student engagement and achievement. Despite growing attention to SEC development initiatives, critical gaps remain regarding demographic variability in outcomes, optimal implementation strategies, and enduring institutional barriers. This systematic review, conducted in accordance with PRISMA guidelines, screened 1519 studies published between 2012 and 2024, yielding 16 peer-reviewed articles that met the inclusion criteria. Findings demonstrate that SEC interventions reliably enhance educators emotional regulation, mindfulness, and overall psychological well-being, irrespective of gender, professional experience, or cultural context. However, the long-term sustainability of these benefits is contingent upon enabling school environments, strong leadership, continuous professional development, and adequate resource allocation. Implementation challenges including time constraints, inconsistent program fidelity, and varying levels of teacher readiness underscore the need for adaptive, context-sensitive models. This review provides evidence-based recommendations for the effective design, integration, and sustained impact of SEC programs across diverse educational settings. Ved A., Kareem J., 2026. -
An exposition on complete androgen insensitivity syndrome and a case report; [??????? ?????? ?????????????????? ? ??????????: ??????????? ??????]
Complete androgen insensitivity syndrome (CAIS) is a rare X-linked sexual development condition typified by 46,XY karyotype, presence of external female genitalia along with intra-abdominal testes in labia majora or inguinal ring region. This syndrome results from alterations in the androgen receptor (AR) gene leading to primary amenorrhea and uterine agenesis (Mlerian agenesis) in adolescent teens or two-sided labial/inguinal hernia with testes in children around prepubertal age. Our paper reports a case of CAIS in a 16-year-old woman with no menarche and 46,XY karyotyping. Gonadectomy results showed hyperplasia of Leydig cells. The current research encompasses the case report and the available knowledge to date on the understanding, diagnosis, treatment, and management of CAIS. 2025 IRBIS LLC. All rights reserved. -
SHRINKAGE ESTIMATION OF THE TTT OF THE LOMAX DISTRIBUTION UNDER PROGRESSIVE TYPE II CENSORING
Shrinkage estimation is a robust procedure that integrates an unbiased estimate with the current estimate using a weighted factor. Several weighted factors dynamically adjust the shrinkage factor based on the sample size and censoring proportion, ensuring that the method tailors the shrinkage to the available data rather than applying a constant factor. Despite certain real-world application limitations, the Lomax distribution exhibits flexibility as a tail-behaviour modelling technique, making it particularly suitable for reliability and survival analysis. The present study focuses on estimating the shape parameter of the Lomax distribution using PTII censored sampling within the framework of the shrinkage estimator method. Shrinkage estimators are derived based on constant and shrinkage weight factors under different weight functions. These depend on the base estimates sample size, bias, and variance to shrink the current estimate. The performance of these estimators is rigorously evaluated through a Monte Carlo simulation study. 2026 Pushpa Publishing House, Prayagraj, India. -
Towards a Tribal Literary Criticism in India: Engaging Northeast Tribal Voices in English Literature
This article formulates and applies a tribal literary criticism to the tribal voices of Northeast India articulated in English literature. It moves beyond prevailing literary paradigms that have traditionally marginalised indigenous worldviews and viewpoints by adopting indigenous-tribal epistemologies and a decolonial approach. By applying tribal knowledge through close readings of selected tribal literary texts produced by tribal writers from the Northeastern regions of India, the study explores key concepts such as community, land, identity, and ecology, rooted in the tribal holistic worldview of the God-world-human continuum. Relying on tribal worldviews, oral traditions, memories, storytelling, and lived experiences, indigenous-tribal interpretative tools offer alternative frameworks. Furthermore, the study validates tribal ways of knowing and expands the field of literary criticism by including diverse epistemic traditions. 2026, Penerbit Universiti Kebangsaan Malaysia. All rights reserved. -
SUPPLY CHAIN ENTRAINMENT AND ORGANIZATIONAL PERFORMANCE: A STUDY IN CONTEXT OF MANUFACTURING SECTOR; [SYNCHRONIZACJA ?A?CUCHA DOSTAW A WYDAJNO?? ORGANIZACYJNA: BADANIE W KONTEK?CIE SEKTORA PRODUKCYJNEGO]
The manufacturing industry is growing more complex and dynamic, demanding a deeper insight into the factors that promote synchronization and boost productivity. In this context, the emerging concept of Supply Chain Entrainment (SCE), which promotes the synchronisation and alignment of processes, activities, and flow across the supply chain, can lead to sustainable growth. This study investigates the impact of SCE on Organizational Performance (OP) within manufacturing organizations. Specifically, it examines how synchronizing measures between supply chain partners influence performance outcomes. This study employs partial least squares structural equation modeling to analyse the effects of SCE facilitators on supplier collaboration, information exchange, and process integration. Additionally, the moderating role of technology adoption on the SCE-OP interrelationship has been studied, acknowledging its crucial influence in today's rapidly evolving digital landscape. The results support a positive effect of supplier collaboration, information sharing, and process integration on SCE and underscore that these are essential factors in accomplishing a harmonized and efficient supply chain. Furthermore, the study provides a direct and meaningful relationship between SCE and OP. This highlights the strategic importance of a supply chain that has been well-entrained in the overall success of the organization. This focus on technology adoption enhances the study's relevance and offers valuable insights for managers operating in the current business environment. The findings from the study contribute valuable knowledge to academicians and industry practitioners, deepening our understanding of manufacturing supply chain dynamics and effective management strategies. 2025, Czestochowa University of Technology. All rights reserved. -
The hybrid workplace: Contribution of autonomy in subjective well-being among employees in the banking, financial services and insurance sector; [????????? ??????? ?????: ????? ????????? ? ???????????? ???????????? ?????????? ? ????? ?????????? ????? ? ???????????]
Purpose. Amid the increasing importance of subjective well-being in shaping employees work outcomes, especially amidst growing health concerns and the adoption of hybrid work models, HR practitioners are actively seeking effective strategies to enhance employee well-being. The aim of this study is to develop and validate a scale for assessing autonomy in hybrid work, and subsequently, investigate the potential impact of autonomy on the subjective well-being of employees. Methodology. Data were gathered from employees working in the Banking, Financial Services and Insurance (BFSI) sector in Bengaluru, India in the form of a survey from a sample size of 440 employees. Devellis methodology was followed for the scale development and multiple regression analysis was used to test the hypotheses. Findings. Autonomy in hybrid work positively related with employee well-being, with location autonomy (31.4%) being a significant contributor to this positive association followed by scheduling autonomy (17.4%) and time autonomy (7%). However, the dimension of decision-making autonomy did not show a significant relationship with subjective well-being. Research implications for practice. This research assists decision-makers in understanding the ramifications of different forms of work autonomy on workforce well-being and grasping the evolving landscape of organizational psychology. Researchers can utilize the developed scale to scrutinize autonomys effects on diverse employee outcomes, such as productivity and job satisfaction across various industries and countries, thereby augmenting the scales generalizability. Originality. The literature review indicates that there is no prior study conducted in India or any other country within the evolving context of hybrid work similar to the present study. 2025 National Research University Higher School of Economics (HSE University). All rights reserved. -
Loneliness and Psychological Distress among Female School and University Students in India: Mediating Role of Coping Style, Social Support and Resilience
Loneliness and psychological distress are major psychological health issues among the student community because of social and continuously increasing academic pressure. Female students are vulnerable to these challenges, with a risk of severe mental health issues. In the present study, we aimed to examine loneliness and psychological distress among female students in India, assessing how social support, coping style, and resilience mediate these effects. Through a web-based survey, 687 responses were collected from female students across various educational institutions, including high school (n=292) and college/university (n=395) students in India. Standardized tools were used to gather data on resilience, psychological distress, coping styles, social support, and loneliness. The findings revealed moderate levels of resilience and psychological distress among the participants. The coping style scores indicated a general trend toward effective coping mechanisms. A higher level of social support was observed than a moderate level of loneliness. While coping style had a minimal mediating influence, resilience and social support were significant mediators of the association between loneliness and psychological distress. This study highlights the psychological experiences of female students in India and makes a significant contribution by providing empirical evidence on the unique roles of protective factors such as resilience and social support against psychological distress and loneliness. These findings are crucial in promoting a targeted mental health framework and support systems for students in similar contexts, reinforcing the need for a holistic approach to student mental health. 2025 The Authors. Turkish Journal of Counseling Psychology and Guidance is published by Turkish Psychological Counselling and Guidance Association -
Is There a Dark Side to Work Passion? Insights on Well-Being and Performance in the Evolving Knowledge Economy
Purpose: Work passion (WP) inspires employees to discover more profound meaning and fulfilment in their careers. However, is there a dark side to WP? This paper aimed to explore the answer to this question and test the mediating role of employee well-being in the relationship between WP and perceived performance. Design/Methodology/Approach: We employed a quantitative survey method, and 107 executive-level leaders, referred to as CXOs, participated. We administered the WP Scale, developed by Vallerand et al. (2003), further modified to suit the workplace by Ho et al. (2011), the Employee Wellbeing Scale developed by Pradhan and Hati (2019), and the Perceived Performance Scale developed by Karneli et al. (2015) for collecting data. We used Process MACRO (Model 4) for mediation analysis. Findings: The conclusions of the study indicated that while obsessive passion (OP) had a negative impact on workers well-being, harmonious passion (HP) had a positive influence on employee well-being. Both HP and performance, as well as OP and performance, were mediated by well-being. HP positively impacted performance, while performance was negatively impacted by OP. Practical Implications: The findings have numerous advantages for executive-level leaders, allowing them to strengthen employee well-being and organizational performance. They should first concentrate on creating a positive environment at work that encourages an HP. Second, the adverse impacts of OP on performance and well-being can be minimized by using programs designed to promote mental health, such as stress management tools and wellness initiatives. Originality/Value: This paper added to the body of research and knowledge by distinguishing between the different types of consequences (both positive and negative) of WP on employee well-being and performance. Organizational leaders, particularly CXOs, can gain insights from the papers contributions regarding the significance of creating a supportive work environment that maximizes HP and prevents obsessive behavior. 2025, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Career Resilience and Advancement: A Research Note on Women in Indian IT
Purpose: The representation of women in the Information Technology (IT) industry in India is higher than in other sectors. However, many women leave the industry after five years of employment. Organizations are concerned about the gender gap in leadership positions within this sector. The paper suggested that career resilience (CR) is a strategic method for retaining and advancing women in IT professions. Methodology/Approach: The paper employed an interpretive synthesis approach. Literature from peer-reviewed sources on CR, career development, and career advancement of women professionals was reviewed. Findings: The synthesis of literature highlighted the role of CR in improving women's continued participation in the industry. The findings suggested building resilience through organizational interventions as a way forward to creating a more gender-equitable workforce. Practical Implications: The strategies presented are practical and feasible for IT organizations to create a more inclusive workspace. These strategies are designed to empower organizations to take meaningful steps for an equitable workforce. Originality: The paper presented a comprehensive approach to sustaining and advancing women in the IT industry in India. 2025, Associated Management Consultants Pvt. Ltd. All rights reserved. -
Influence of Financial Attitude and Financial Socialization on Investment Behavior of Women
Women generally avoid risk when investing, often preferring traditional options such as bank fixed deposits and gold. This behavior limits their participation in NTI, like stocks and mutual funds, which typically offer higher long-term returns. Purpose: The paper discussed how financial attitude (FA) and parental financial socialization (PFS) affected the non-traditional investment behavior (NTIB) of Indian women. Design/Methodology/Approach: The study used a quantitative research design, with an online survey administered to 403 working Indian women aged 2555 years. Data was collected through convenience sampling and analyzed using SPSS 23. Findings: FA related to interest and deliberative spending significantly influenced womens non-traditional investment behavior. Parental financial behavior (FB) and direct financial teaching also had a positive impact, whereas financial anxiety and parental role modeling did not exhibit a significant influence. Practical Implications: The results emphasized the need for financial institutions and policymakers to implement targeted financial education programs, as well as for parents to provide proactive financial education, to increase the level of non-traditional investment among women. Originality/Value: The research contributed to the family financial socialization theory by providing empirical data on the joint effect of FA and PFS on the NTIB of Indian women. 2026, Associated Management Consultants Pvt. Ltd.. All rights reserved.