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The Effect of Digital Transformation Capability on Business Model Innovation in Industry 5.0: Evidence from Vietnamese Small and Medium Enterprises
Digital transformation (DGT) in the industry 5.0 not only creates a comprehensive and sustainable socio?economic system but also helps businesses increase their resilience. This study aims to determine the effect of DGT capability on business model innovation (BMI) of Vietnamese small? and medium?sized enterprises (SMEs). The data were surveyed from 307 leaders working at SMEs in Vietnam and processed in two steps using SmartPLS 4.0 software. The results show that technology capability (TCC), organizational capability (OGC), strategy capability (STC), ecosystem capability (ECC), and risk management (RSM) have a positive effect on DGT. The results also show that DGT has a significant and positive influence on BMI, and the mediating role of DGT has also been confirmed. Afterward, Vietnamese SMEs have been advised to consider governance implications when enhancing their business models to align with the 5.0 industry. 2026 Tang My Sang -
The effect of hopeful lyrics on levels of hopelessness among college students
Hopelessness is a product of negative future expectations, negative feelings toward the future, and feeling a lack of control over future improvements. College students are seen to experience hopelessness. This study aimed to reduce levels of hopelessness in college students through an intervention that involved listening to songs having hopeful lyrics. The sample consisted of college students (N = 66), who were randomly assigned to three groups, namely the lyrics-music group, music-only group, and the control group (no intervention). The Becks Hopelessness Scale was used to measure their levels of hopelessness before the intervention and at the end of four weeks. The lyrics-music group and the music group participants were exposed to songs and instrumental tracks, respectively, twice a week, for four weeks. The Wilcoxon Signed-Rank test for related samples was used to analyze the effect of the intervention on levels of hopelessness. The KruskalWallis test was used to analyze the differences across the three groups. Results indicated that the lyrics-music group had a significant decrease in levels of hopelessness after the intervention. However, the music group and the control group showed no significant decrease. There was a significant difference between the three groups with regard to the difference score obtained from pre to post intervention. Thus, the evidence suggests that hopeful lyrics do have an effect on hopelessness and can be seen as differing from the functions of music alone. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
The effect of non-thermal argon plasma treatment on material properties and photo-catalytic behavior of TiO2 nanoparticles
In this paper, a brief study on the effect of non-thermal plasma generated with argon carrier on material properties and photo-catalytic reduction behavior of TiO2 is presented. Commercially available TiO2 nanoparticles (20 nm size) were subjected to Ar cold plasma at different time durations. Then the plasma treated materials were explored for chemical reduction of carbon dioxide (CO2) into methane (CH4) using sunlight as photo-irradiation source. The results show that the non-thermal plasma affects the material properties of TiO2 such as UV-visible absorption, XRD patterns and Raman scattering significantly and also the enhancement of CH4 yields in CO2photo-chemical reduction. 2020 American Institute of Physics Inc.. All rights reserved. -
The Effect of Prediction on Employee Engagement Organizational Commitment and Employee Performance Using Denoised Auto Encoder and SVM Based Model
The purpose of human resources is to ensure that the appropriate people are hired for open positions at appropriate times, that the system receive the necessary training, and that their performance is monitored and their perspective skills are secure through the use of evaluation methods. Despite the importance of this data to decision-makers, it can be difficult to glean useful insights from large datasets. Data mining has made it possible for human resources experts to automate the hitherto tedious task of manually processing enormous data sets. Finding almost perfect outcomes is the main goal of data mining, which is to discover hidden knowledge in data patterns and trends. The proposed method goes as follows: preprocessing is done by data cleaning and data normalization, feature selection using correlation and information theoretic ranking criteria. The last step in training and evaluating the model is using AE-SVM, which stands for Auto Encoder Support Vector Machine. The suggested model is more effective and performs better than two existing models: Support Vector Machine and AE-CNN. The suggested approach attains an accuracy rate of 94%. 2024 IEEE. -
The effect of servant leadership on ad hoc schoolteachers affective commitment and psychological well-being: The mediating role of psychological capital
Progress on the fourth United Nations Sustainable Development Goal (SDG4), which strives to ensure inclusive and equitable quality education, can only be made with teachers whose levels of job satisfaction and dedication to teaching are high. The authors of this article conducted a survey among ad hoc teachers (also referred to as para teachers) in rural India. The purpose of their study was to find out the extent to which being led by principals who practised a management style termed servant leadership positively impacted respondents affective commitment and psychological well-being. A servant leader seeks to serve by developing the followers selfhood in various relational, ethical, emotional and spiritual contexts. This has the effect of encouraging the followers to become the best version of themselves. Data collection involved the completion of a questionnaire by a sample of 1,120 (840 female, 280 male) para teachers from 17 non-formal community learning centres and 10 schools in the Indian state of Jharkhand. The results of the survey revealed that there is an indirect effect of servant leadership on affective commitment and psychological well-being through a set of three elements, hope, efficacy and resilience, which together amount to a para teachers personal resource of psychological capital. Relying on the findings of their research, the authors suggest that it will be beneficial for Jharkhands Department of Education to implement interventional teacher training programmes which nurture servant leadership among school principals and educational officers and thereby foster psychological capital among para teachers. 2020, UNESCO Institute for Lifelong Learning and Springer Nature B.V. -
The Effect of Short-Term Training of Vipassanas Body-Scan on Select Cognitive Functions
This experiment examined the effect of a short-term body-scan meditation technique of vipassana practice on select cognitive functions. Participants (n = 77) were randomly divided into an experimental group (n = 37) and an active control group (n = 40). The average age of participants in the experimental group and the active control group was 21.67 1.16 and 21.40 3.14years, respectively. The experimental group practiced body-scan mindfulness, one session per day for 6 days with each session lasting for 25min. Participants in the active control group spent an equal amount of time reading fiction of their choice and listening to soothing music. Variables that were studied included five cognitive functions, namely reaction time, attention, learning, working memory, and social-emotional cognition. Results showed that short-term mindfulness meditation decreased reaction time and increased attention, with mild effect size. It may be concluded that short-term mindfulness practice might be an alternative for individuals who, due to various reasons, cannot practice long-term courses. 2018, National Academy of Psychology (NAOP) India. -
The effect of spatial and intensity level augmentation of structural magnetic resonance images on autism diagnosis model
In deep learning, the robustness and generalizability of models significantly depend on diverse and heterogeneous training data. Acquiring such an extensive dataset is challenging in fields like disorder prediction due to data scarcity, which can be attributed to factors such as privacy concerns, limited patient population, or inadequate facilities. Data augmentation can be an ideal solution to this problem, particularly in the field of disorder prediction, like autism, using medical imaging. Data augmentation can expand and balance datasets by generating high-quality and varied data, thereby improving the generalizability of deep learning models. This study proposed two types of augmentation methods: 1. Spatial level 2. Intensity level augmentation techniques. Eight different levels of augmentations were experimented with across these categories. This study found that the combination of spatial and intensity level augmentations enhanced the model's generalizability and robustness, achieving an AUC value of 0.7433. Additionally, it was observed that the Left to Right flip method, under spatial augmentation, diminished the model's performance, whereas random noise injection, under intensity level augmentation, improved prediction accuracy. 2026 Elsevier B.V. -
The Effect of Sustainable Development Goals (SDG's) on the Financial Performance of Listed Companies
The corporate sector is emerging as a significant stakeholder in this transformative journey asnations throughout the world work to align their policies and practices with the SDGs. Theincorporation of SDGs into financial planning has made tremendous headway in India, acountry with a rapidly expanding economy and a diverse corporate landscape. The 50companies that made up the Nifty 50 at the end of 2023 are examined in this study. Twosources provided the financial data on these companies: the Bloomberg platform andSecurities and Exchange Commission (SEC) reports. Only thirty of the NIFTY 50 companieswere putting the SDGs into practise on the previously indicated date. There are fourconfigurations in the successful FP model that describe how the SDGs and FP relate to oneanother. The lack of SDGs, when combined with other variables, explains a high ROE in twoof these four configurations. The examination of the data concludes that businesses who havetraditionally attained higher FP (i.e., higher ROE) have not included SDGs into their strategy.Furthermore, the inclusion of SDGs in strategies results in a lower return on equity (ROE).The paper however takes into consideration only size and risk as the main variables tocalculate the ROE. We recommend the future researchers to consider the other financialvariables while doing the analysis to get a more insightful analysis on the effect of SDGs. Grenze Scientific Society, 2024. -
The Effect of Viscous Dissipation on the DarcyBard Problem: Weakly Nonlinear Analysis and Strongly Nonlinear Computations
We consider the effect of viscous dissipation on the onset and nonlinear development of two-dimensional convection in a unit enclosure heated from below. First, we show that the linear theory is unchanged from that which arises when viscous dissipation is absent. Second, a weakly nonlinear analysis shows that convection becomes weaker with increasing values of Ge~, a modified Gebhart number. In addition, the rate of heat transfer at the lower and upper sufaces differ from one another. Third, nonlinear convection is found to lose both up/down and left/right symmetry as both Ge~ and Ra (the DarcyRayleigh number) increase. It is also found that once viscous dissipation increases in strength to unphysically large amounts, then the maximum temperature migrates from the lower boundary to the interior of the enclosure. The Author(s) 2025. -
The Effectiveness of Micro Finance Institutions on Socio-Economic Development of Women in Karnataka
International Journal of Research in Commerce, Economics & Management, Vol-2 (11), pp. 74-77. ISSN-2231-4245 -
The effectiveness of proactive coping intervention for students with learning disabilities
The presence of Learning Disabilities (LD) increases the possibility of psychological distress due to the negative school experiences. Apart from academic difficulties, students with LD are facing social and emotional problems related to their disabilities. If the psychological distress evolves over time without proper management, it may lead to psychosocial maladjustment. Previous research has shown that proactive coping helps minimize stress and maladjustment issues and is a predictor of success in people with LD. In comparison to students without LD, students with LD in Kerala have lower proactive coping and are more maladjusted. Hence, the current study has tailored an intervention to enhance proactive coping for students with LD. The present study followed the quasi-experimental research design to examine the effectiveness of the intervention on students with LD. A total of 200 participants from various schools across Kerala were initially selected using a multistage random sampling method. Subsequently, participants exhibiting the lowest scores in proactive coping were identified, and then 60 of them were randomly assigned to either the experimental or control group for the intervention. Proactive Coping Inventory for Adolescents and Adjustment Inventory for School Students were the tools used in this study. The data collected from the experimental and control groups following the intervention were analysed using Mixed analysis of variance and Repeated Measures of ANOVA. The findings of the study showed that the proactive coping intervention has significantly enhanced the proactive coping and social emotional adjustment of students with LD. Using these proactive coping interventions in remedial instruction will enable the students to develop a healthy coping style that benefits their personal growth. The Author(s) 2025. -
The Efficacy of Augmented and Virtual Reality Exposure in Reducing Diverse Phobias: A Comparative Study
Anxiety disorders represent one of the most prevalent mental health challenges worldwide, affecting over 300 million individuals across all age groups. Among these, specific phobias constitute a large subset, often leading to avoidance behaviors, functional impairment, and reduced quality of life. Traditional in vivo exposure therapy (IVET) has long been considered the gold standard for treating such disorders, yet its practical limitations-such as patient noncompliance, difficulty in replicating real-life stimuli, and logistical challenges-have necessitated the exploration of digital therapeutic alternatives. This study presents a comprehensive comparative analysis of Augmented Reality (AR) and Virtual Reality (VR) exposure interventions, examining their therapeutic efficacy, engagement mechanisms, and clinical applicability relative to IVET. Through a systematic review of high-quality Randomized Controlled Trials (RCTs), meta-analyses, and empirical studies published between 2010 and 2025, this research synthesizes evidence regarding symptom reduction, physiological response modulation, and patient adherence across age groups and phobia categories. Findings demonstrate that both AR and VR interventions achieve symptom reductions equivalent to IVET, while offering additional benefits in accessibility, immersion, and personalization. VR shows superior outcomes in complex environmental and situational phobias through enhanced sensory engagement, whereas AR demonstrates strong ecological validity and user comfort in natural settings, particularly for pediatric and home-based use. The paper concludes by identifying current challenges such as cybersickness, ethical considerations in data use, and the necessity for longitudinal studies to assess sustained therapeutic impact. 2025 IEEE. -
The Efficacy of Multi-Component Intervention for Adolescents with Problematic Video Gaming in a Community-Based Setting
Video gaming is a popular leisure activity enjoyed by millions globally, helping with socialisation, interaction, and relieving stress. It may also become a maladaptive coping mechanism to evade distress and negative emotions, leading to problematic usage. Research evidence shows that problematic gaming is associated with different psychosocial issues. Video games can be a way of negative coping and escaping reality, and problematic usage can hide other problems of players in real life. Adolescents are vulnerable to problematic use due to their developmental stages, and those with specific vulnerabilities and disabilities are at greater risk. No one psychotherapy has all the answers, and the multi-component intervention technique might have better treatment utility than a solitary behaviour intervention. The research aims to show the effectiveness of the intervention for problematic video game usage in a community-based setting. The study focuses on adolescents in seventh through ninth grade who were identified as problematic video gamers (not addictive users) from a selected group of schools in Kerala. The study employed an experimental design, encompassing both intervention and control groups, to systematically assess the effects of the experimental manipulation and establish a baseline measurement. The paired t-test results showed no significant decrease in the intervention groups Gaming Addiction Scale at the post-test, but it did lower the addiction scores. By conducting the research, we provide psychological care for adolescents and help them identify and prevent problematic gaming experiences. The research underscores the significance of early identification and prevention of problematic video game usage among adolescents, advocating for a holistic approach incorporating diverse components. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
The Efficacy of Multi-Component Intervention for Adolescents with Problematic Video Gaming in a Community-Based Setting
Video gaming is a popular leisure activity enjoyed by millions globally, helping with socialisation, interaction, and relieving stress. It may also become a maladaptive coping mechanism to evade distress and negative emotions, leading to problematic usage. Research evidence shows that problematic gaming is associated with different psychosocial issues. Video games can be a way of negative coping and escaping reality, and problematic usage can hide other problems of players in real life. Adolescents are vulnerable to problematic use due to their developmental stages, and those with specific vulnerabilities and disabilities are at greater risk. No one psychotherapy has all the answers, and the multi-component intervention technique might have better treatment utility than a solitary behaviour intervention. The research aims to show the effectiveness of the intervention for problematic video game usage in a community-based setting. The study focuses on adolescents in seventh through ninth grade who were identified as problematic video gamers (not addictive users) from a selected group of schools in Kerala. The study employed an experimental design, encompassing both intervention and control groups, to systematically assess the effects of the experimental manipulation and establish a baseline measurement. The paired t-test results showed no significant decrease in the intervention groups Gaming Addiction Scale at the post-test, but it did lower the addiction scores. By conducting the research, we provide psychological care for adolescents and help them identify and prevent problematic gaming experiences. The research underscores the significance of early identification and prevention of problematic video game usage among adolescents, advocating for a holistic approach incorporating diverse components. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
The Efficiency of Ensemble Machine Learning Models on Network Intrusion Detection using KDDCup 99 Dataset
With the advent of data communication the increased usage of the technologies results in network intrusions and associated attacks. Consequently, the data violation rates are increased abundantly and that sacrifices Confidentiality, Integrity and Availability. This article focused on the network Intrusion Detection System (IDS) that detects various attacks and types. Machine learning (ML) has the potential to spot known-experience and Zero-day attacks. Consequently, the article has considered ML and ensembled models for the various attack classification. The major contributions of the current article are 3-fold. Initially, to understand the relevance and sufficiency of the dataset through exploratory data analysis. Second, the comprehensive understanding of the various attacks, its nature, various types and classifications and finally, the empirical analysis of the dataset through the potential of various ML models. The article utilized various discriminative models for the execution and all of the models have shown better accuracy. The tree-based ensemble model, Random Forest has outperformed the rest of the models with higher accuracy in the training and testing samples of 99.997 % and 99.969 % respectively. 2023 IEEE. -
The efficient fractional order based approach to analyze chemical reaction associated with pattern formation
The investigation of the nonlinear models and their complex nature with generalized theory associated to material and history-based properties is a motivation for the present work. The mathematical model describing the chemical reaction, namely BelousovZhabotinsky (BZ) reaction is examined in the present work using the efficient numerical method. For the obtained numerical results, the change of color and patterns formation is presented in a different order. The impact of the rate change is presented for the diverse associated parameters. For the considered system, the boundedness, stability, existence, and other dynamical conditions are derived. The consequences of generalizing the model within the fractional order are derived. The present study helps researchers to investigate complex real world problems and predict the corresponding plans to be made using the efficient approach. 2022 Elsevier Ltd -
The Emerald Handbook of Destination Recovery in Tourism and Hospitality
Featuring a broad geographical range of examples and pan-disciplinary perspectives, The Emerald Handbook of Destination Recovery in Tourism and Hospitality is an essential reference and illuminating guide on developments in the theory and practice of tourism development post-pandemic. 2023 Priyakrushna Mohanty, Anukrati Sharma, James Kennell and Azizul Hassan. -
The emerging role of innovative teaching practices in tourism education in the post-COVID-19 era
The education sector has undergone a tremendous transformation during the last few decades with the advancement of information and communication technology. Traditional methods of teaching and learning are replaced with modern technology enabled methods such as virtual reality, 3D images and videos, augmented reality, and gamification. Tourism education involves learning about geographic regions, destinations, and sightseeing. The shift from offline mode of teaching to a completely online and digital platform during the COVID-19 pandemic has further accelerated the need to include such innovative practices in teaching and learning. This chapter focuses on the potential benefits of enabling technology infused teaching and learning methods and their implications on improving student motivation and engagement. 2023, IGI Global. All rights reserved. -
The Empirical Analysis of Machine Learning Approaches for Enhancing the Cyber security for better Quality
In recent years, there have been significant advances in both technologies tactics so in area of cyber security, with (ML) machine learning at the forefront of the transformation. It is the ability to obtain security event characteristics or findings from cyber security information and then develop a matching information model that will allow a security system to become autonomous and smart. The widespread proliferation and the usage of Web and Smartphone applications has increased the size of cyber world as a consequence. When a computerized assault takes too long to complete, the internet becomes vulnerable. Security measures may be improved by recognizing and reacting to cyber-attacks, thanks to cyber security techniques. Security measures that were previously used aren't any longer appropriate because scammers have learned how to evade them. It is getting more difficult to detect formerly unknown and unpredictable security breaches, which are growing more widespread. Cyber security is becoming more dependent on machine learning (ML) techniques. Machine learning algorithms' dependability remains a major challenge, given its continual advancement. It is possible to find malicious hackers in internet that are ready to exploit ML defects that have been made public. A thorough review of machine learning techniques safeguarding cyberspace against attacks is provided in this paper, which presents a literature review on Cyber security using machine learning methods, such as vulnerability scanning, spam filtering, or threat detection on desktop networks as well as smart phone networks. Among other things, this paper provides brief descriptions of each machine-learning technique and security info, essential machine-learning technology, and evaluation parameters for a classification method. 2022 IEEE. -
The Employees Demographic Profile of Startups in India with Special Reference to Bangalore City: A Case Study
In the current scenario, startups play a pivotal role and exert a significant influence on the promotion of economic growth. Authorities perceive their substantial impact, considering factors such as job creation, economic development, and contributions to technological upgrading (Thornton and Assocham in Startups Indiaan overview, 2016; Jain in Int J Appl Res 2:152154, 2016; Sarangi in Why do most Indian startups fail? Computer Science and Engineering, Indian Institute of Technology, Delhi, 2015). There has been a noteworthy effort to promote entrepreneurship through the establishment and support of various incubation centers. Despite the positive reception and development initiatives, the alarming startup failure rates in India persist due to various reasons. Available data indicates that 12 states in India have 1000 recognized startups each, with Karnataka being particularly well-recognized for progress and brand creation, especially in the city of Bangalore. In light of this, the study aims to identify the demographic profile of employees in startups in India, with a special focus on Bangalore city. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.