KDV PRASAD

Professor KDV Prasad, works as a Faculty of Research in Symbiosis Institute of Business Management, Hyderabad; Symbiosis International (Deemed University), Pune, India. Professor Prasad holds Masters in Computer Applications and Masters in Software Systems from BITS, Pilani; MBA (Human Resources), IGNOU, New Delhi.. Professor Prasad Possess PhD in Business Management (Kanpur University); and PhD in Business Administration (RTM Nagpur University. He is AIMA certified Management Teacher, Fellow, World HR Board, Carlton Advanced Management Institute, USA. Professor Prasad Published over 200 articles in scopu/WOS indexed journals, and 3 books.

RESEARCH, TEACHING, or OTHER INTERESTS

Business, Management and Accounting, General Business, Management and Accounting, Arts and Humanities, Management Science and Operations Research

Scopus Publications

Does outdoor air pollution cause poor semen quality? A systematic review and meta-analysis
Ria Margiana, Hasanain Abdulhameed Odhar, KDV Prasad, Enwa Felix Oghenemaro, Rekha M M, Rohit Kumawat, Subasini Uthirapathy, Shilpa Sharma, M. Ravi Kumar, and Mehran Nouri
Springer Science and Business Media LLC



The impact of AI-driven sentiment analysis on patient outcomes in psychiatric care: A narrative review
Chou-Yi Hsu, Sayed M. Ismail, Irfan Ahmad, Nasser Said Gomaa Abdelrasheed, Suhas Ballal, Rishiv Kalia, A. Sabarivani, Samir Sahoo, KDV Prasad, and Mohsen Khosravi
Elsevier BV



Trust Management Scheme for Securing Vehicular Ad Hoc Networks Against Malicious Nodes and False Message Anomaly
Haewon Byeon, Mohammed E. Seno, Ajeet Kumar Srivastava, Azzah AlGhamdi, Ismail Keshta, Mukesh Soni, K. D. V. Prasad, Dilora Abdurakhimova, and Mohammed Wasim Bhatt
Wiley
ABSTRACTWith the rapid development of intelligent transportation systems presents significant opportunities for vehicular ad hoc networks (VANETs) present themselves; yet, these networks also encounter numerous security challenges. In order to maintain road safety and traffic efficiency, information is usually shared through communication between vehicle nodes or between vehicle nodes and roadside units (RSUs). Vehicle nodes, RSUs, and trusted authorities (TAs) constitute the majority of VANETs. An approach to hybrid trust management that is distributed, HTMS‐V, is presented to mitigate potential internal attackers and misleading messages in VANETs. This framework considers the attributes of VANETs and employs an enhanced subjective logic model to assess the trustworthiness of vehicle nodes through both direct and indirect trust metrics. Trust links among nodes are formed by information about interactions, and the trustworthiness of messages is determined by the degree of trust between nodes and the distance between them. The assessment outcomes are utilized to detect erroneous communications and malevolent nodes within the network. To assess the efficacy of the proposed approach, four distinct assault scenarios were devised for comparative experiments on the Veins vehicular network simulation platform. The experimental findings indicate that HTMS‐V proficiently withstands diverse attacks in VANETs, successfully detecting many false messages and malevolent nodes, even at a malicious node rate of 40%. The percentage of malicious nodes is 3%, 5%, 7%, and 9%, meaning that the overall rates of malicious nodes are 9%, 15%, 21%, and 27%. The malicious node anomaly detection accuracy of the HTMS‐V scheme was over 96%, the message judgment accuracy was over 95%, and the false positive rate was less than 4%.


From diagnosis to therapy: The role of LncRNA GAS5 in combatting some cancers affecting women
Chou-Yi Hsu, Safia Obaidur Rab, Ahmed Hussein Zwamel, Enwa Felix Oghenemaro, Muktesh Chandra, Sumit Rajotiya, Ahmed Hjazi, KDV Prasad, Shikha Atteri, and Ashish Singh Chauhan
Elsevier BV



Moderating Effect of Interpersonal Mindfulness Between Marital Conflict and Marital Intimacy Among Iranian Married Individuals
Soolmaz Dehghanidowlatabadi, Harikumar Pallathadka, Sayed M. Ismail, Diyorjon Abdullaev, Fatma Magdi Ibrahim, and KDV Prasad
Wiley
ABSTRACTPurposeMarital intimacy is one of the significant factors determining life quality, which, along with interpersonal mindfulness, enables married individuals to experience greater levels of marital satisfaction. This study aimed to elucidate and confirm the moderating effects of interpersonal mindfulness in the relationship between marital conflict and marital intimacy.MethodThe participants of this study comprised 207 Iranian married individuals (ages 19 to 45 years, mean age: 30, SD: ±4.54). Participants completed online questionnaires which assess interpersonal mindfulness, marital conflict and marital intimacy needs questionnaire.FindingThe results from structural equation modeling indicated that marital conflict negatively predicted marital intimacy (β = −0.484, t = 6.74, p <0.001), and interpersonal mindfulness positively predicted marital intimacy (β = 0.412, t = 5.14, p < 0.001). The findings from multigroup analysis demonstrated that interpersonal mindfulness moderated the relationship between marital conflict and marital intimacy in this study.ConclusionsThe results of this study showed that interpersonal mindfulness as a moderator reduces the negative effects of marital conflict and increases marital intimacy among Iranian married individuals.


Integrating remote sensing and geospatial AI-enhanced ISAC models for advanced localization and environmental monitoring
Himanshi Babbar, Shalli Rani, Mukesh Soni, Ismail Keshta, K. D. V. Prasad, and Mohammad Shabaz
Springer Science and Business Media LLC



Computational approaches to optimize polymerization and curing in low-temperature thermosetting composites for enhanced additive manufacturing efficiency
Srigitha S. Nath, R. Dineshkumar, KDV Prasad, Deepak Gupta, Pradeep Jangir, and S. Kiruba
Elsevier BV



Evaluation of diesel engine performance and emissions using biodiesel from waste oils synthesized with Fe<inf>3</inf>O<inf>4</inf>-SiO<inf>2</inf> heterogeneous nano catalyst
Suleiman Ibrahim Shelash Mohammad, Asokan Vasudevan, K.D.V. Prasad, Inas Ridha Ali, Abhinav Kumar, Ankur Kulshreshta, Vikasdeep Singh Mann, I.B. Sapaev, Teku Kalyani, and Mohammad Sina
Elsevier BV



The impact of mobile-wallet factors on customer satisfaction and customer loyalty: A study of B-schools in Hyderabad
Prasad Kdv, Hariprasad Soni, Chitta Shyamsunder, Shivoham Singh, and Ved Srinivas
QUBAHAN
This empirical study investigates the impact of mobile-wallet usage dimensions on customer satisfaction and loyalty. The study determined the effect of M-wallet service on customer satisfaction and assessed the mediating role cost on the relationship between customer satisfaction and customer loyalty. This empirical research ascertains the significance of mobile wallets in contributing to financial inclusion, evaluates the impact of M-wallet services on the satisfaction of customers, and assesses the consequential impact on customer loyalty. The data were gathered from mobile-wallet users from B-school students in Hyderabad city, India, via a structured questionnaire that has 24 items to measure seven reflective constructs: service quality, ease of use, usefulness, cost, security, loyalty, and customer satisfaction. Purposive sampling was used to maintain the characteristics of the respondents, as the empirical study focused on B-schools in and around Hyderabad. The valid responses of 500 participants were subjected to exploratory and confirmatory factor analysis and SEM analysis. The survey instrument was reliable and consistent as revealed by reliability statistic Chronbach’s alpha, and that the constructs-maintained discriminant validity. The measurement and structural models and model fit statistics indicate that data fit the model well. The five factors of service quality, ease of use, usefulness, cost, and security are statistically significant and influence the customer satisfaction of mobile wallet users. However, the impact of security and ease of use on customer loyalty was not statistically significant. Perceived cost partially mediates the nexus between customer satisfaction and the loyalty of mobile wallet users. The study assessed the long-term impact of mobile wallet services on customer allegiance and contributes nuanced insights into the dynamic landscape of mobile wallet services. Customer satisfaction, trust, and ease of use are critical for increasing customer loyalty and satisfaction. The study suggests that m-wallet providers should enhance control over their technological tools, improve service quality, reduce costs, enhance security, foster customer relationships, and understand their aspirations. Electronic services, such as mobile wallets, have transformed businesses, simplified operations, provided information, and fostered customer relationships. Organizations must improve service quality and specifications to ensure customer satisfaction, leading to increased market share, competitive capabilities, and customer growth. The research indicates that companies can encourage the use of m-wallets by informing customers about their creation, password configuration, and safeguarding. It emphasizes the need for businesses to learn from developed countries' experiences in payment channels and electronic financial transactions. It also emphasizes enhancing technology management for service efficiency, cost reduction, customer relationship building, and security. This empirical research investigates the long-term impact of mobile wallet services on customer loyalty, customer satisfaction, and customer satisfaction. This suggests that managers should prioritize trust and satisfaction to increase loyalty and value, thus fostering enduring customer relationships. Digital wallets could facilitate transformative innovation in central bank digital currencies (CBDCs), despite their significant impacts, by enhancing their relationship with digital wallet applications.


The Impact of Green Human Resource Management on IT Employees’ Environmentally Eco-friendly Performance and Behavior: The Mediating Role of Organizational Commitment
KDV Prasad, Shivoham Singh, Ved Srinivas, Hemant Kothari, and Devendra Shrimali
QUBAHAN
This study examined the influence of green human resource management (GHRM) on information technology employees' environmentally friendly performance and eco-friendly conduct. This study also investigated the mediating role of organizational commitment on the nexus between GHRM and employees’ environmentally friendly and eco-friendly behavior. The data were gathered via a structured questionnaire. Data normality and questionnaire internal consistency and reliability were assessed measuring Chronbach’s alpha statistic, which reveals the data were normally distributed, and the questionnaire maintained internal consistency and reliability. 500 valid responses were analyzed and four reflective constructs, organizational commitment, green human resource management, organizations’ environmental performance, and employees’ eco-friendly behavior, were assessed via exploratory, confirmatory factor analysis, and hypotheses were tested via structural equation modeling analysis. The impact of green human resources was positive and statistically significant for all the study variables. Employees’ eco-friendly behavior has a positive and statistically significant impact on IT organizations’ environmental performance. Organizational commitment partially mediated the relationships between green human resource management and organizations’ eco-friendly behavior and environmental performance. The data were gathered using convenience sampling which is fast, cost-effective, easy and suitable for our research. However, the limitations, bias and generalizability were handled through common method bias and the size of 500 is very large for SEM studies and results can be generalizable to some extent. The results have several practical implications for green organizations in terms of recruiting, training, and reducing carbon footprints.


Enhancing intentions to apply for job through social media: the mediating role of employer attractiveness and person-organization fit
Davood Ghorbanzadeh, Lakshmi C. Radhakrishnan, KDV Prasad, Ahmad Alkhayet, Mohd Shukri Ab Yajid, and Arshdeep Singh Dhaliwal
Emerald
PurposeThis research aims to examine how social media characteristics influence job applicants' intentions to apply for positions, with a focus on the mediating roles of employer brand attractiveness and person-organization fit. This study is grounded in signaling and congruity theories.Design/methodology/approachThe researchers use a convenience sampling method among 260 new graduates of the number of private universities in Iran. Structural equation modeling was then used to analyze the data.FindingsThe results demonstrate that social media characteristics, specifically social presence and informativeness, significantly impact both employer brand attractiveness and person-organization fit. Furthermore, both employer brand attractiveness and person-organization fit fully mediate the relationship between social media characteristics and job application intentions.Originality/valueThis study extends existing literature by empirically demonstrating the crucial role of social media characteristics in shaping job applicant behavior. It provides valuable insights for practitioners by highlighting the importance of carefully crafting social media content to effectively communicate organizational values and culture, thereby enhancing employer brand attractiveness, fostering person-organization fit and, ultimately, increasing the likelihood of attracting qualified candidates.


Integrating IoT, Blockchain, and Quantum Machine Learning: Advancing Multimodal Data Fusion in Healthcare AI
V. Dankan Gowda, J. Rajalakshmi, B. Guruprakash, Venkatesan Hariram, and K. D. V. Prasad
Wiley



Future Directions and Emerging Trends in Multimodal Data Fusion for Bioinformatics
V. Dankan Gowda, D. Palanikkumar, K.D.V. Prasad, Mandeep Kaur, and Shivoham Singh
Wiley



Machine Learning Approaches for Integrating Imaging and Molecular Data in Bioinformatics
Mandeep Kaur, V. Dankan Gowda, S. Priya, K.D.V. Prasad, and Venkatesan Hariram
Wiley



360 VR adoption intention in tourism: approach of protection motivation theory
Atena Rahehagh, Dildora Nazarova, Harikumar Pallathadka, Meeta Joshi, Damanjeet Aulakh, and K.D.V. Prasad
Emerald
PurposeThis study endeavors to comprehend the impact of perceived risks and coping strategies on tourists' inclination to participate in virtual tourism.Design/methodology/approachEmploying a quantitative methodology and the protection motivation theory (PMT), an online survey was administered to 215 foreign tourists with an awareness of security concerns in Iran. The collected questionnaire data underwent statistical analysis using SPSS and structural equation modeling analysis via SmartPLS software.FindingsThe findings reveal that perceived severity and vulnerability exert a significant positive influence on the likelihood of embracing 360 VR. Additionally, the positive effect of perceived response efficacy in using 360 VR on adoption intention was confirmed. Notably, perceived self-efficacy in using 360 VR does not significantly affect adoption intention. Finally, the results showed that negative media coverage, unlike the mental image of the destination, has a positive effect on 360 VR adoption intention.Practical implicationsExtending PMT with 360 VR in tourism risk management allows for more effective risk communication. By immersing tourists in VR simulations, stakeholders can educate them about potential threats, empowering them to navigate risks confidently. This reduces anxiety and enhances travel satisfaction. Moreover, VR integration across sectors promotes a collaborative and proactive approach to risk mitigation within the tourism industry.Originality/valueThis research extends PMT to understand 360 VR adoption in tourism. It investigates how perceived security risks (severity and vulnerability), coping strategies (response efficacy and self-efficacy), negative media and destination image influence tourists' intention to use 360 VR experiences. The findings offer valuable insights for destination marketers in addressing perceived security risks and promoting 360 VR adoption.


Optimal energy generation of hybrid energy systems considering economic and environmental multi-objective functions
Arasu Raman, Biju Theruvil Sayed, Ahmad Alkhayyat, Amit Ved, M. Chetan, Ashish Singh, Raj Kumar, K. D. V Prasad, I. B. Sapaev, and M Mohammedi
EDP Sciences
This research is dedicated to exploring and identifying the most effective design for an energy source tailored specifically to meet the electricity demands of a residential community. In an era where energy efficiency and sustainability are paramount, this study emphasizes the importance of technical and economic considerations in energy sourcing. It posits that any viable solution must not only be efficient in its energy production and consumption but also reliable in its delivery and financially feasible for the residents who will depend on it. To address this multifaceted challenge, the study proposes the innovative use of a rotation-invariant coordinate convolutional neural network in conjunction with binary battle royale optimization techniques. These advanced methodologies are selected for their potential to enhance the modelling and optimization processes involved in energy source design. The primary goal of employing these methods is to minimize two critical factors: the net present cost of the energy system and the overall energy cost incurred by the residents. By focusing on these objectives, the research aims to ensure that the proposed energy solutions are not only cost-effective but also sustainable over the long term. To rigorously test the proposed model and evaluate its performance, the research is conducted using the MATLAB platform. The study employs established methodologies and performance metrics to assess the outcomes of the model, ensuring that the findings are both credible and applicable to real-world scenarios. Through comprehensive testing and detailed analysis, this research aims to provide significant insights and actionable recommendations for the optimal design of energy sources in residential areas. By contributing to the ongoing discourse on sustainable energy solutions, the study seeks to inform policymakers, energy planners, and community stakeholders about effective strategies for meeting residential energy demands while promoting environmental sustainability. Ultimately, the findings of this research could play a crucial role in shaping the future of energy sourcing in residential communities, paving the way for more resilient and sustainable energy systems.


Affiliate eWOM: exploring in the purchase intention of beauty and personal care products
Davood Ghorbanzadeh, Teddy Chandra, Harikumar Pallathadka, A. Abdalmmir Radie, Sharofiddin Sharipov, and KDV Prasad
Emerald
Purpose Particularly in the rapidly expanding beauty and personal care sector, affiliate electronic word of mouth (eWOM) from affiliates has grown to be a dependable and trustworthy source of information. Guided by Signaling Theory, this paper aims to conduct a comprehensive analysis to understand the intricate dynamics of affiliate eWOM within the context of Iranian beauty and personal care products. Design/methodology/approach The study polled 330 consumers who have purchased beauty and personal care products in Iran. Data were gathered using a convenience sample, and the partial least square structural equation modeling model was used to examine and assess the hypotheses. Findings The results demonstrated a significant impact of information quality, rating, helpfulness and number of reviews, along with user-generated videos and photos, on the customer’s actual purchase and intention to purchase the beauty and personal care products. However, the ranking and recency of reviews do not significantly contribute to the stated relationship. Originality/value This research is first of its kind to analyze affiliate eWOM cues in the case of cosmetics e-commerce.


The Role of Sustainable Social Work in Pro-Environmental Behaviors: A Mediation and Moderation Model
Davood Ghorbanzadeh, Pooja Varma, Gaganpreet Kaur, Tushar Jagawat, Azam Kholikov, and Kdv Prasad
Informa UK Limited
PURPOSE This study seeks to investigate the effectiveness of psychological interventions in promoting pro-environmental behaviors by fostering resilience and self-efficacy in Iranian youth. Additionally, based on social cognitive theory, the research examines the role of sustainable youth social work in moderating these relationships. MATERIALS AND METHODS A cross-sectional design was employed to collect data via a survey from 384 Iranian participants, using validated scales. Structural equation modeling was utilized to examine the relationships among the variables. RESULTS The results demonstrate a notable and substantial impact of psychological interventions on pro-environmental behaviors. Additionally, the findings indicate the mediating role of resilience and self-efficacy in the relationships between psychological interventions and pro-environmental behaviors. Ultimately, sustainable youth social work has emerged as significant moderators, enhancing the impact of psychological interventions on pro-environmental behaviors. DISCUSSION The findings from this study carry significant implications for the design and execution of psychological strategies focused on changing environmental behaviors. The study underscores the importance of psychological factors in shaping environmental behavior, thereby enhancing the overall understanding of sustainable behavior development in youth.


Impact of Workplace Relations on Employee Performance: Mediating Role of Turnover Intentions—An Empirical Study Concerning IT-Enabled Sector Employees in and Around Hyderabad
Ridhi Rani, K. D. V. Prasad, Ved Srinivas, and M. Alfiras
Springer Nature Switzerland



Retraction note: Enhancing destination image through virtual reality technology: the role of tourists’ immersive experience (Current Psychology, (2024), 43, 26, (22454-22466), 10.1007/s12144-024-06007-3)
Davood Ghorbanzadeh, Ahmad Qasim Mohammad AlHamad, Kuicthok Yak Deng, Ahmed Alaa Hani Alkurdi, K. D. V. Prasad, and Mohsen Sharbatiyan
Springer Science and Business Media LLC



Mediating role of self-compassion in the relationship between psychological flexibility and psychological well-being in women with breast cancer
Nasser Said Gomaa Abdelrasheed, Iliya Petkov, Harmandeep Kaur, Abhishek Sharma, K.D.V. Prasad, Dildora Nazarova, Zhanna R. Gardanova, Denis Nikolenko, Sayed M. Ismail, and Ahmed Hussein Zwamel
Informa UK Limited
Previous studies have investigated the relationship between psychological flexibility and psychological well-being among several populations. In addition to examine the relationship between these two variables, this study enhances our understanding about the process underlying the relationship between psychological flexibility and psychological well-being among women with breast cancer. The aim of the present study is to test the mediating role of self-compassion in the relationship between psychological flexibility and psychological well-being among Iranian women with breast cancer. The participants of this study, 220 women with breast cancer (ages 28-58 years, mean age: 42.16, SD: ±6.9.54), from three hospitals in Tehran, Iran, completed questionnaires about psychological flexibility, self-compassion, and psychological well-being. The results from structural equation modeling indicated that psychological flexibility and self-compassion positively predicted psychological well-being and psychological inflexibility negatively predicted psychological well-being among breast cancer patients. The findings from mediation analysis demonstrated that self-compassion partially mediated the relationships between psychological flexibility and psychological inflexibility with psychological well-being. The present study brings to light an underlying mechanism of the relationships between psychological flexibility and psychological inflexibility with psychological well-being via the mediating variable of self-compassion for patients with breast cancer.


THE MECHANICS OF FERROELECTRIC CERAMICS UNDERSTANDING OF DEFORMATION BEHAVIOR OF BARIUM TITANATE
GADDE RAGHU BABU, THILAGHAM KANCHEEPURAM THIRUMAL, N. NAGABHOOSHANAM, RAVINAIK BANOTH, K. D. V. PRASAD, GODLA SANJIV RAO, and SRIPADA RAMA SREE
World Scientific Pub Co Pte Ltd
Ferroelectric ceramics, such as barium titanate, have garnered significant interest due to their unique electrical and mechanical properties. In particular, their ability to undergo significant deformation under an applied electric field aids in their utilization in many applications, including actuators and sensors. The deformation behavior of ferroelectric ceramics is complex and is influenced by various factors, such as crystal structure, defect density, and processing conditions. This study focuses on the mechanics of ferroelectric ceramics and seeks to offer a thorough comprehension of the barium titanate’s deformation behavior. The study begins by discussing the crystal structure of barium titanate and how it influences the ferroelectric behavior of the material. It then delves into the various mechanisms of deformation, including domain wall motion, phase transformation, and twinning. The study also discusses the effects of temperature, electric field strength, and microstructure on the deformation behavior of barium titanate. Furthermore, the study explores the relationship between the deformation behavior and the mechanical characteristics of barium titanate, including Poisson’s ratio and Young’s modulus. Finally, the study concludes with a discussion of the potential applications of ferroelectric ceramics and the need for further research in this area. Overall, this study provides a comprehensive understanding of the deformation behavior of barium titanate showcasing distinct influences of grain size, texture, and anisotropy. Notably, varying grain sizes significantly impact deformation behavior. For instance, smaller grain sizes ([Formula: see text]m) exhibit superior deformation characteristics, correlating with higher permittivity values (2731–5801) compared to larger grain counterparts (18.4[Formula: see text] [Formula: see text]m). Additionally, transition temperatures ([Formula: see text]) for different grain sizes (18.0–[Formula: see text]C for smaller grains, 21.5–[Formula: see text]C for larger grains) underscore the impact of phase transitions on grain size. These results underscore the paramount importance of grain size, texture, and anisotropy in governing the mechanical traits of barium titanate, emphasizing their consideration during fabrication and processing for optimal performance in diverse applications.


Boosting Fault-Tolerant Scheduling with Smart Resource Management for Industrial Cyber-Physical Systems
K.V.S. Prasad, Ravi Varman, KDV Prasad, D. Praveena, P. Chinniah, and Sathyakala S
IEEE
Industrial Cyber-Physical Systems (ICPS) are integral to modern industrial automation, where precise scheduling, efficient resource allocation, and robust fault tolerance are paramount. As the complexity of ICPS grows, so do the challenges of maintaining system resilience and network performance under dynamic and potentially unpredictable conditions. Traditional scheduling and resource management techniques in ICPS often fall short of meeting the stringent requirements of real-time responsiveness and fault tolerance. Existing methods struggle to optimize performance while simultaneously managing system faults, which can lead to significant operational downtime. This research is driven by the need to create a more robust approach that not only enhances scheduling efficiency but also integrates fault detection and network performance optimization in a resource-constrained environment. This study aims to boost fault-tolerant scheduling by integrating Reinforcement Q-Learning Using LSTM Attention mechanisms for optimized resource allocation and scheduling. Additionally, it incorporates Slimmable Pruned Neural Networks for efficient fault detection and a Modified Crayfish Optimization technique to enhance network performance. The proposed model achieved a scheduling accuracy exceeding 99.5%, fault detection precision above 99.2%, and stability of the network throughput more than 99.7 % compared to the traditional approaches. These metrics highlight the model's high performance and capability to adapt dynamically to ICPS requirements. By fusing advanced reinforcement learning, neural pruning for fault detection, and optimized network strategies, this research presents a transformative approach for ICPS. The presented method demonstrate a significant leap in scheduling reliability, fault resilience, and overall network efficiency, marking a critical advancement in fault-tolerant industrial system design.


Relationship Between Servant Leadership and Total Quality Management Practices: Mediating Effects of Interfunctional Coordination – An Empirical Study Concerning the Information Technology Industry, Hyderabad
KDV PRASAD, Sri Yogi KOTTALA, and Shyamsunder CHITTA
Polish Academy of Sciences Chancellery
Although there is a growing body of evidence supporting the significance of servant leadership as a basic component in shaping the execution of TQM practices, the research has not fully examined the framework associated with servant leadership in terms of “customer focus, people management, process management, strategic planning, information and analysis” in general and in the information technology industry. Therefore, the authors conducted this empirical research examining the associations among servant leadership and the abovementioned TQM practices in the information technology industry. This empirical study also examined the mediating role of interfunctional coordination in TQM practices in the context of servant leadership. We gathered data from 335 leaders in 57 software companies in the information technology industry with at least a capability maturity model (CMM) level 3 to CMM5 companies providing software development and services. The data were collected from team leaders, project heads, project managers, lead testers, and higher-level managers of the marketing and operations management area. We investigated how servant leadership interacts with the application of these five TQM practice components and the mediating role of the interfunctional coordination construct in this interaction. To accomplish this goal, we empirically investigated a structural model and mediation models by bootstrapping and SEM with IBM AMOS (IBM, 2023). The model fit indices CMIN/DF 1.724, CFI 0.953, TLI 0.938, NFI 0.920, SRMR 0.049, RMSEA 0.049, and PCl close 0.624 indicate excellent model fit, and further investigation was carried out. The findings showed that putting TQM practices into practice was positively and directly correlated with servant leadership. Interfunctional coordination partially mediates TQM practices through servant leadership, with a positive association. The results confirm the influence of servant leadership on TQM practices in the information technology industry.


Which one? AI-assisted language assessment or paper format: an exploration of the impacts on foreign language anxiety, learning attitudes, motivation, and writing performance
Neha Biju, Nasser Said Gomaa Abdelrasheed, Khilola Bakiyeva, K. D. V. Prasad, and Biruk Jember
Springer Science and Business Media LLC

RECENT SCHOLAR PUBLICATIONS

Integrating IoT, Blockchain, and Quantum Machine Learning: Advancing Multimodal Data Fusion in Healthcare AI
V Dankan Gowda, J Rajalakshmi, B Guruprakash, V Hariram, ...
Multimodal Data Fusion for Bioinformatics Artificial Intelligence, 103-126 2025



Future Directions and Emerging Trends in Multimodal Data Fusion for Bioinformatics
V Dankan Gowda, D Palanikkumar, KDV Prasad, M Kaur, S Singh
Multimodal Data Fusion for Bioinformatics Artificial Intelligence, 247-282 2025



Machine Learning Approaches for Integrating Imaging and Molecular Data in Bioinformatics
M Kaur, V Dankan Gowda, S Priya, KDV Prasad, V Hariram
Multimodal Data Fusion for Bioinformatics Artificial Intelligence, 147-177 2025



Moderating Effect of Interpersonal Mindfulness Between Marital Conflict and Marital Intimacy Among Iranian Married Individuals
S Dehghanidowlatabadi, H Pallathadka, SM Ismail, D Abdullaev, ...
Brain and Behavior 15 (3), e70392 2025



360 VR adoption intention in tourism: approach of protection motivation theory
A Rahehagh, D Nazarova, H Pallathadka, M Joshi, D Aulakh, KDV Prasad
Journal of Hospitality and Tourism Insights 2025



The Impact of Green Human Resource Management on IT Employees’ Environmentally Eco-friendly Performance and Behavior: The Mediating Role of Organizational Commitment
KDV Prasad, S Singh, V Srinivas, H Kothari, D Shrimali
Qubahan Academic Journal 5 (1), 229-248 2025



Integrating remote sensing and geospatial AI-enhanced ISAC models for advanced localization and environmental monitoring
H Babbar, S Rani, M Soni, I Keshta, KDV Prasad, M Shabaz
Environmental Earth Sciences 84 (4), 1-12 2025



Computational approaches to optimize polymerization and curing in low-temperature thermosetting composites for enhanced additive manufacturing efficiency
SS Nath, R Dineshkumar, KDV Prasad, D Gupta, P Jangir, S Kiruba
Thermal Science and Engineering Progress 58, 103223 2025



The relationship between work-life balance and psychological well-being: an empirical study of metro rail travelers working in the information technology sector
KDV Prasad, M Rao, R Vaidya, K Sriyogi, S Singh, V Srinivas
Frontiers in Psychology 15, 1472885 2025



The Role of Sustainable Social Work in Pro-Environmental Behaviors: A Mediation and Moderation Model
D Ghorbanzadeh, P Varma, G Kaur, T Jagawat, A Kholikov, K Prasad
Journal of Evidence-Based Social Work, 1-18 2025



Evaluation of diesel engine performance and emissions using biodiesel from waste oils synthesized with Fe3O4-SiO2 heterogeneous nano catalyst
SIS Mohammad, A Vasudevan, KDV Prasad, IR Ali, A Kumar, ...
Heliyon 11 (1) 2025



Affiliate eWOM: exploring in the purchase intention of beauty and personal care products
D Ghorbanzadeh, T Chandra, H Pallathadka, AA Radie, S Sharipov, ...
International Journal of Pharmaceutical and Healthcare Marketing 2025



From diagnosis to therapy: The role of LncRNA GAS5 in combatting some cancers affecting women
CY Hsu, SO Rab, AH Zwamel, EF Oghenemaro, M Chandra, S Rajotiya, ...
Gene, 149217 2025



Empirical nexus of corporate social responsibility, service quality, corporate reputation and brand preference: evidence from Iranian healthcare industry
D Ghorbanzadeh, T Chandra, S Elmirzaev, AQ AlHamad, KDV Prasad, ...
JOURNAL OF HEALTH ORGANIZATION AND MANAGEMENT 39 (1), 147-147 2025



Analyzing Factors Influencing Technology Adoption in Healthcare: A Structural Equation Modeling Perspective
KDV Prasad, S Singh, D Hiran, P Agarwal, H Kothari
Pacific Business Review International 17 (7) 2025



Automating Agricultural Processes With Computer Vision: Challenges and Solutions
D Gowda, Z Chen, N Suganthi, KDV Prasad, SA Dhole
Computer Vision Techniques for Agricultural Advancements, 1-30 2025



Future Proofing Agile Management With 5G/6G Advancements
D Gowda, KR Kadam, MK SB, D Srinivas, KDV Prasad
5G/6G Advancements in Communication Technologies for Agile Management, 21-50 2025



Retraction Note: Enhancing destination image through virtual reality technology: the role of tourists’ immersive experience
D Ghorbanzadeh, AQM AlHamad, KY Deng, AAH Alkurdi, KDV Prasad, ...
Current Psychology, 1-1 2024



Relationship between Emotional Maturity and Employer Satisfaction: An Empirical Study Concerning Telecom Industry Employees
A Pathak, N Singh, S Singh, KDV Prasad, KK Dave, H Kothari
Employee Responsibilities and Rights Journal, 1-27 2024



Empirical nexus of corporate social responsibility, service quality, corporate reputation and brand preference: evidence from Iranian healthcare industry
D Ghorbanzadeh, T Chandra, S Elmirzaev, AQ Mohammad AlHamad, ...
Journal of Health Organization and Management 38 (8), 1182-1203 2024

MOST CITED SCHOLAR PUBLICATIONS

Organizational climate, opportunities, challenges and psychological wellbeing of the remote working employees during COVID-19 pandemic: A general linear model approach with
DKDV Prasad, DMR Mangipudi, DR Vaidya, B Muralidhar
International Journal of Advanced Research in Engineering and Technology 2020
Citations: 266



Effect of occupational stress and remote working on psychological well-being of employees: An empirical analysis during covid-19 pandemic concerning information technology
KDV Prasad, RW Vaidya, MR Mangipudi
Indian Journal of Commerce and Management Studies 11 (2), 1-13 2020
Citations: 241



A study on causes of stress among the employees and its effect on the employee performance at the workplace in an International Agricultural Research Institute, Hyderabad
KDV Prasad, R Vaidya, V Anil Kumar
International Journal of Management Research and Business Strategy 4 (4), 68-82 2015
Citations: 80



A systematic review and meta-analysis of the potential of millets for managing and reducing the risk of developing diabetes mellitus
MVRKB Seetha Anitha1 *, Joanna Kane-Potaka1 , Takuji W. Tsusaka2 , Rosemary ...
Frontiers in Nutrition 8, 1-18 2021
Citations: 77



Association among Covid-19 parameters, occupational stress and employee performance: An empirical study with reference to Agricultural Research Sector in Hyderabad Metro
KDV Prasad, RW Vaidya
Sustainable Humanosphere 16 (2), 235-253 2020
Citations: 75



Technologies for comprehensive information security in the IoT
VD Gowda, SR Kawale, K Prasad, NA Kumar, NS Reddy, B Ashreetha
2023 International Conference for Advancement in Technology (ICONAT), 1-5 2023
Citations: 74



Association among remote working concerns and challenges on employee work-life balance: an empirical study using multiple regression analysis with reference to international
B Muralidhar, DKDV Prasad, DMR Mangipudi
International Journal of Advanced Research in Engineering and Technology 11 (6) 2020
Citations: 63



Computer vision based healthcare system for identification of diabetes & its types using AI
A Sharma, KDV Prasad, SV Chakrasali, D Gowda, C Kumar, A Chaturvedi, ...
Measurement: Sensors 27, 100751 2023
Citations: 40



Teacher’s performance as a function of occupational stress and coping with reference to CBSE affiliated school teachers in and around Hyderabad: a multinomial regression approach
KDV Prasad, R Vaidya, VA Kumar
Psychology 7 (13), 1700-1718 2016
Citations: 40



A novel IoT framework and device architecture for efficient smart city implementation
SR Kawale, KDV Prasad, D Palanikkumar, PA Mary, AY Begum, D Gowda
2023 7th International Conference on Trends in Electronics and Informatics 2023
Citations: 39



Implementation of a machine learning-based model for cardiovascular disease post exposure prophylaxis
VD Gowda, K Prasad, NA Kumar, S Venkatakiran, B Ashreetha, ...
2023 International Conference for Advancement in Technology (ICONAT), 1-5 2023
Citations: 37



An intelligent system for remote monitoring of patients health and the early detection of coronary artery disease
SR Kawale, KDV Prasad, S Dekka, D Gowda, R chaithanya Tanguturi, ...
2022 International Conference on Smart Generation Computing, Communication 2022
Citations: 34



A novel method of identification of delirium in patients from electronic health records using machine learning
R Kavitha, K Prasad, SA Shreee, B Maheshwari, GJ Sai, VD Gowda
2023 World Conference on Communication & Computing (WCONF), 1-6 2023
Citations: 32



Scrutinizing the Effects of e‐Learning on Enhancing EFL Learners’ Reading Comprehension and Reading Motivation
I Patra, TA Hashim Alghazali, EG Sokolova, KDV Prasad, H Pallathadka, ...
Education Research International 2022 (1), 4481453 2022
Citations: 31



Study on the causes of stress among the employees in IT sector and its effect on the employee performance at the workplace with special reference to International Agricultural
KDV Prasad, R Vaidya, V Kumar
International Journal of Management 7 (4), 2016 2016
Citations: 31



Gamification and resource pooling for improving operational efficiency and effective management of human resources: A case study with an ecommerce company
R Vaidya
International Journal of Management (IJM) 10 (6) 2019
Citations: 30



Remote working and occupational stress: Effects on IT-enabled industry employees in Hyderabad Metro, India
KDV Prasad, R Vaidya, R Rani
Frontiers in psychology 14, 1069402 2023
Citations: 28



Gamification for employee engagement: An empirical study with e-commerce industry
KDV Prasad, MR Mangipudi
Montenegrin Journal of Economics 17 (2), 145-156 2021
Citations: 28



Association among occupational stress factors and performance at workplace among agricultural research sector employees at Hyderabad, India
KDV Prasad, R Vaidya, V Anil Kumar
Pacific Business Review International (TSI) 10 (7), 27-36 2018
Citations: 27



Dynamic Disaster Management with Real-Time IoT Data Analysis and Response
VD Gowda, A Sharma, K Prasad, R Saxena, T Barua, K Mohiuddin
2024 International Conference on Automation and Computation (AUTOCOM), 142-147 2024
Citations: 25

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

3 Patents

Industry, Institute, or Organisation Collaboration

International Crops Research Institute for Semi-Arid Tropics, Hyderabad India over 30 years research administration experience
Symbiosis Institute of Business Management, Hyderabad as Research Professor 2 Years of experience

INDUSTRY EXPERIENCE

International Crops Research Institute for Semi-Arid Tropics, Hyderabad India over 30 years research administration experience