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The Vital Role of Artificial Intelligence in the Dynamics of Human Resource Management
Human resources play a pivotal role in ensuring the growth of the organizations. Competency mapping, identifying skill gaps, and right talent identification are vital for enhancing the effective functioning of the organizations. As the organizations size increases, these functions become a challenge. In addition to managing the day-to-day operations, organizations are moving toward implementing effective processes for human resource development. Automating and adopting data-driven processes aids in transforming HR into an effective arm of the organization. The advent of artificial intelligence (AI) tools is becoming part of several organizations. These tools relieve HR personnel from spending time on routine tasks and drive them toward strategic decision-making. Organizations are finding AI is crucial in driving innovation in their business models. Thus, transforming processes and creating disruption are warranted to attain a competitive edge. The introduction of AI-driven systems in business organizations leads to significant changes in the demographic gambit of the workforce. It transforms the characteristics and significance of jobs and the relationship between employers and employees. The interaction between people and technology, and the customer experience in a rapidly changing market will be influenced by AI. The practices adopted by organizations in Middle East countries are also discussed. 2026 by Apple Academic Press, Inc. -
The Water Unites and the Land Divides: Exploring Chinese Maritime Migration and the Birth of Kolkata Chinatown
The water unites, and the land divides is a common expression in the Indo-Pacific, illustrating the archipelagic characters of the mainlands and islands across the flanking Indian Ocean and the Pacific Ocean. It facilitates maritime liaisons between people across civilisation. Though the Indian and Pacific oceans have historically brought China and India together regarding spice trade and cultural diffusion, it was not until the Age of Discoveries that the eternal ambition to control the Indo-Pacific oceanic wilderness materialised. First, the Portuguese, then the Dutch and French and finally, the British, who prospered insurmountably into a maritime colonial network where the sun never sets. British imperialism, a force that shaped the worlds political events and social fabric, facilitated a global movement of Chinese migrants who settled in different British colonial coastal cities in search of greener pastures. Kolkata, erstwhile Calcutta, flourished as a colonial hub with its White Town and Black Town and a vibrant Chinatown in between. The present research investigates Chinese maritime migration to Calcutta and their resilience and adaptability to create a niche for themselves. It also analyses the significant role of British imperialism in determining Chinatowns demographic composition and cultural identity, leading to a profound realisation of the historical influences on migration patterns. 2024 selection and editorial matter, Dr. Sreedevi Santhosh, Dr. Samjaila T. H., Ms. Preethi S., Dr. Steffi Santhana Mary S., Dr. Uma Maheswary and Dr. L. Santhosh Kumar; individual chapters, the contributors. -
The wellbeing van: A strength-based model for student engagement and promoting student wellbeing
This book chapter takes a proactive approach to address stress by introducing a preventive measure, a relatively new approach implemented on college students in Bangalore, India called the "wellbeing van." The chapter emphasizes the importance of not only managing and coping with stress, but also implementing strategies that promote overall well-being by tapping into the intrinsic factors of the student. The well-being van has shown promising results in reducing stress levels among students in academic institutions. Additionally, the chapter delves into the difficulties students face in maintaining social relationships, conforming to societal expectations, and finding their place. It provides valuable insights on how to foster healthy social dynamics and create supportive environments for students. 2024, IGI Global. All rights reserved. -
The whispers in the halls: Unveiling the moderating effect of employee reviews on organization selection
Online employee reviews, a hallmark of the digital age, significantly shape organizational image and influence job seeker choices. This research explores how the sentiment (positive or negative) of information in these reviews moderates how job seekers perceive organizations and make decisions during the selection process. By analyzing data from 213 Indian academics, the study aims to understand how job seekers utilize review information and uncover how the reviews' presence and sentiment affect the relationship between organizational image and candidate choices. This research contributes valuable insights into the complex interplay between employer brand, online feedback, and talent acquisition in the digital age, informing strategic recruitment practices and enhancing understanding of contemporary talent acquisition strategies. 2024 by IGI Global. All rights reserved. -
The Women in CBOs: A Resource-based Approach for COVID-19 Management in Kerala
In the fight against COVID-19-the global health emergency-the community-based organisations were an effective tool for planning and implementation of relief measures. This article is an examination of the various ways in which the community-based organisations extended their support in the fight against the pandemic. 2022 Economic and Political Weekly. All rights reserved. -
The Women Leadership: A Catalytic Role of Digital Divide Through Digital Ecosystem
The digitalization of the macro environment of an organization and digital upskilling and digital capital formation in the micro level of human capital paves women an opportunity to ladder up in the organization in various job roles leading to women leadership. The sociodemographic, psychological, socioeconomic, and cultural factors to the digital divide predominantly determine digital capital formation. Every attempt of women to surpass the digital divide obstacle to digital capital formation enables women capital to leadership characteristics. The study proposes a conceptual framework by extricating the past scholarly works on digital divide, digital capital, technology leadership, and women leadership. The preferences and choices of women leading to leadership skills through technology by encapsulating digital capital formation are meritorious in the research inquiry. The individual factors and organization factors are taken to the moderating variables in the association of digital capital to the women leadership. The study finds the need of ICT and digital upskilling among the women professionals in industry and catalytic role of digital capital formation by surpassing the digital divide. The empirical study on the concept formulation is highly recommendable for the future study. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
The world of communication & computing platform in research perspective: Opportunities and challenges
Computing paradigms are introduced for solving complex problems by analyzing, designing and implementing by complex systems. Computing can be defined as the effective use of computer or computer technology to solve tasks that are goal oriented. Computing is used in development of producing scientific studies, building intelligent systems, channeling different media for communication. Over the last few years, internet became so popular which lead to the increase in computer processing capacity, data storage and communication with one another. Computing has evolved from one technology to another in its field and formed a robust framework over the years. In this paper a survey on different computing paradigms like evergreen computing is cloud computing, to deal with basic scheduling is grid computing, for multi task handing is parallel computing, to handle smart phone data's that is mobile computing, cluster computing, and distributed computing is carried out. These technologies improved the way computing functions and made it easier to the computer world. The applications and research issues of the most of the computing paradigms are discussed in this article. The recent research issues in computing platform are scheduling and security. The scheduling is dealing with data processing from one computing platform to other computing device. Security is one of the important research issues. 2021 IEEE. -
The youth's way of personal branding as bookstagrammers
The Bookstagrammers use Instagram to post about their life as avid readers and regard themselves as social media influencers (SMIs) for books. Creating a personal brand helps influencers differentiate themselves from other users. Similarly, Bookstagrammers have made a place for themselves as book influencers in this growing SMI market. Since Bookstagrammers have the potential to influence the publishing industry's sales, creating a personal brand plays a significant role in their career as an influencer. Some Bookstagrammers have successfully created their personal brand by posting book-related and reader-centric content on Instagram and are followed by a niche audience of readers. This study conducted content analysis on India's two most popular Bookstagrammers, and discusses their personal branding strategies. The results showcase 8 broad categories of content shared by the Bookstagrammer that are mapped to three elements of personal branding: brand identity, brand positioning, and brand image, showing how social media fuels the youth's creativity to as SMIs. 2023, IGI Global. All rights reserved. -
The zamkovoy canonical paracontact connection on a para-kenmotsu manifold
The object of the paper is to study a type of canonical linear connection, called the Zamkovoy canonical paracontact connection on a para-Kenmotsu manifold. 2021 D. G. Prakasha et al. -
Thematic Analysis of Quality Assurance Tools in Higher Education Institutions
Quality assurance tools are crucial in maintaining and improving higher education institutions standards, credibility and effectiveness. They ensure standardisation, institutional credibility, competitiveness, academic rigour and research quality, enhancing the teaching and learning experience. This article aims to qualitatively analyse various quality measurement tools, such as accreditation, ranking, peer review and student-led evaluation, used in the context of higher education institutions. Various qualitative analysis tools such as content analysis, thematic analysis and grounded theory approach were analysed first. Out of this, thematic analysis was selected for the qualitative analysis as the data and analysis are from literature and expert opinion, which lack primary data. The codes for the thematic analysis were taken from previous literature. The codes have operational definitions and are categorised into Input, Process and Output themes. Code values were assigned for the quality assurance tools for each code. The code count for the various themes helped to identify the usability of various tools. The study was based on Ludwigs theme generated from the Input, Process and Output system theory. The study found that accreditation is the best tool for qualitatively and quantitatively analysing an institution. It can be an ideal tool for quality assurance for an institution. Peer review, ranking and student-led evaluation ranked next in the quality assurance tool. This study aids organisations, governmental agencies and other educational institution stakeholders to select the best method for comparing institutions during admissions, grants processing and other processes. The study adopted the qualitative analysis tool thematic analysis. Hence, the study has subjective bias and is not free from the limitation of thematic analysis. The modelling approach is directed towards prediction rather than casualty. The study has taken the literature reviews and expert opinion into account. However, structured questionnaires and unstructured interviews helped better categorise the various codes into the respective themes. The statistical analysis would have made the observation more robust. This article fulfils an identified need to analyse the ideal quality assurance tool for quality assurance and measurement for institutions. This helps institutions meet national and international accreditation standards, policy formulation, strategic planning, continuous improvement, faculty workload distribution, accountability and boosts institutional reputation. 2026 Unisa Press. -
Thematic Mutual Funds: Performance and Benchmark Analysis Leveraging AI in Futuristic New-Age Investment Themes
Young investors love thematic mutual funds. By 2022, AUM will reach 1.73 lakh crore. These funds have a great possibility of long-term growth since they are timing the market and investing wisely. This research uses AI-driven analytics to examine a select thematic mutual fund that has done well despite risk, diversity, and market volatility concerns. Five actively managed themes were chosen from various fund firms. Infrastructure, ESG, Technology, Banking and Financial Services, and Pharma & Healthcare. We evaluated the best strategies in each topic using qualitative and AI-enhanced quantitative success metrics, including Alpha, Beta, Standard Deviation, Rolling Return, and Sharpe Ratio. We compared themes to key metrics to evaluate their performance over five years (2018-2022). Themed mutual funds perform well for future savings. In particular, AI-driven asset selection algorithms that were market-appropriate outperformed other purchasers. The findings demonstrate the importance of economic cycle-based themes and clever distribution strategies to maximize profits. This research illuminates investment choices and illustrates how AI-enabled active investing might improve market forecasts, volatility, and returns in themed mutual funds. 2025 IEEE. -
Theoretical analysis of the thermal characteristics of ReeEyring nanofluid flowing past a stretching sheet due to bioconvection
This analysis examines the flow of ReeEyring nanofluid over a stretching sheet in the presence of an inclined magnetic field. The nanoparticle distribution in the nanofluid is stabilised by the movement of motile microorganisms and it constitutes bioconvection. Meanwhile, the impact of thermophoresis and Brownian motion which plays an important role in the transfer of heat and mass is considered along with the convective boundary conditions. The flow of non-Newtonian nanofluid is widely used in the many manufacturing industries as a major component of cooling. Furthermore, it finds applications in thermal extrusion systems, biomedical engineering, cancer treatment etc. The governing equations are formulated using partial differential equations that are translated into non-linear differential equations employing appropriate relations based on these assumptions. The differential transformation technique (DTM) is used to solve these non-linear differential equations, and the results are shown in graphs and tables for various fluid flow parameters. The skin friction coefficient, local Nusselt, and motile density are all calculated and examined numerically. Fluid velocity is observed to increase as a function of a fluid variable. Furthermore, increasing the value of the thermal and relaxation solutal parameters reduces the temperature and concentration. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. -
Theoretical and analytical analysis of convective heat transport of radiated micropolar fluid over a vertical plate under nonlinear Boussinesq approximation
Purpose: In heat transfer problems, if the temperature difference is not sufficiently so small then the linear Boussinesq approximation is not adequate to describe thermal analysis. Also, nonlinear density variation with respect to temperature/concentration has a significant impact on heat and fluid flow characteristics. Because of this reason, the impact of nonlinear density variation in the buoyancy force term cannot be neglected. Therefore in this paper, the unsteady flow and heat transfer of radiating magneto-micropolar fluid by considering nonlinear Boussinesq approximation is investigated analytically. Design/methodology/approach: The flow is fully developed and time-dependent. Heat and mass flux boundary conditions are also accounted in the analysis. The governing equations of transport phenomena are treated analytically using regular perturbation method. To analyze the tendency of the obtained solutions, a parametric study is performed. Findings: It is established that the velocity field is directly proportional to the nonlinear convection parameter and the same trend is observed with the increase of the value of Grashof number. The micro-rotational velocity profile decreases with increase in the nonlinear convection parameter. Further, the temperature profile increases due to the presence of radiative heat aspect. Originality/value: The effectiveness of nonlinear Boussinesq approximation in the flow of micropolar fluid past a vertical plate in the presence of thermal radiation and magnetic dipole is investigated for the first time. 2019, Emerald Publishing Limited. -
Theoretical and experimental validation of thermal and heat transfer performance of novel ethylene glycol - Cr2AlC nanofluids
Synthesizing stable nanofluids with favourable thermal properties that can cater to practical applications is a challenge over the past few years. This paper presents the preparation and analyzes the thermal efficiency of the novel nanofluid prepared by the suspension of nanocrystalline Cr2AlC MAX phase powder in ethylene glycol (EG). Incorporation of h-BN, MoS2, Al2O3, and Cr2AlC showed a thermal conductivity enhancement at 303 K when compared to EG. Accurate experimental models for the thermal conductivity and the viscosity of EG + Cr2AlC nanofluids are estimated. The theoretical analysis of the flow profiles of EG + Cr2AlC/Al2O3/MoS2/h-BN nanofluids is carried out with Blasius and Sakiadis flow models. The Cr2AlC MAX phase possesses both ceramic and metal properties that help these nanofluids to show high heat transfer performance. The results show that 0.50 wt% EG + Cr2AlC nanofluid displays maximum improvement in heat transfer performance. There is a substantial rise in the thermal conductivity when both temperature and weight fraction increase. The simulated flow of the nanofluid past a plate indicated superior heat transfer and thermal profiles for the EG + Cr2AlC nanofluids. For the flow past a moving plate, the nanofluid possesses less skin friction at the plate, which is favourable for various practical applications. 2022 Elsevier Ltd -
Theoretical Framework for Blockchain Secured Predictive Maintenance Learning Model Using Digital Twin
The automotive sector benefits from Digital Twins (DTs), software replicas of physical assets or processes. DTs enable engineers and data scientists to obtain deeper insights into the system and solve the most difficult problems faster and more affordably. Blockchain technology is a developing and exciting technology that has the potential to offer DTs monitoring capabilities, strengthening security and enhancing DTs transparency, dependability, and immutability. Intelligent behavior can be integrated into blockchain-based DTs to foresee important maintenance tasks and successfully manage machine functions. Our research involves creating a theoretical framework that leverages emerging technologies such as blockchain, artificial intelligence and DTs to facilitate resolution in the predictive maintenance of industry machines with minimised governing cost. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Theoretical Framework for Integrating IoT and Explainable AI in a Smart Home Intrusion Detection System
Using IoT devices in smart homes brings benefits and security dangers. This study extensively examines various intrusion detection methods within smart home environments. It also suggests a novel hybrid intrusion detection theoretical framework integrating IoT data with Explainable Artificial Intelligence (XAI) approaches. Using information from multiple IoT devices, including motion sensors, door/window sensors, cameras, and temperature sensors, our theoretical framework can create a comprehensive image of the home environment. By effectively detecting new threats, it offers anomaly detection utilizing unsupervised learning approaches to discover potential breaches without tagged data. 2024 IEEE. -
Theoretical framework of the relationship between emotional intelligence and effective leadership to ensure sustainability
There is little argument about the need for sustainability. Organizations around the world have now understood their role in contributing to the broader goals of, environmental and social sustainability. While financial sustainability of the organization has always been the key purpose. In order to identify, implement and promote sustainable practices, the leadership support is critical. This not only includes the current set of leaders but the future leaders of the organization as well. Thus, there arises a need to identify the key competencies and skills that contribute to effective leadership and to ensure that the training of future leaders focuses on the same. The current paper reviews theories in the area of Leadership and their evolution. Based on the proposition by key theorists in the area of leadership, the proposed theoretical framework links the dimensions of effective leadership to the dimensions of emotional intelligence. The purpose of the study was to establish a theoretical relationship between Emotional Intelligence, Effective leadership and sustainability. The proposed model is based on existing theories in the respective areas and the researchers hope that future research would work to provide empirical evidence for the same. This would ensure that the leadership pipeline is designed to promote the skills required to create and run a sustainable organization. 2020 IJSTR. -
Theoretical insights into the role of nanoclusters in anticancer drug delivery systems
The present investigation focuses on the adsorption of Deguelin and Raloxifene, two potential anticancer drugs, on beryllium oxide (Be12O12) and magnesium oxide (Mg12O12) nanoclusters using advanced computational approaches. The pristine nanoclusters are first optimized for their structural and electronic properties, revealing unique geometric and electronic characteristics that influence their interaction with the drug molecules. Various initial configurations are explored to identify the most stable adsorption sites, with adsorption energies (Eads) indicating significant interactions between the drug molecules and the nanoclusters. The adsorption on Mg12O12 nanoclusters displays chemisorption behavior with higher Eads values, whereas Be12O12 nanoclusters exhibit physisorption, implying a weaker yet stable interaction. Furthermore, electronic structure analysis, including density of states (DOS) and HOMO-LUMO gap evaluations, indicated that drug adsorption alters the electronic properties of the nanoclusters, particularly for Be12O12, where a notable reduction in the band gap is observed. These findings suggest that Be12O12 and Mg12O12 nanoclusters hold promise as effective carriers for Deguelin and Raloxifene, offering insights into their potential application in targeted drug delivery systems. 2025 Elsevier B.V. -
Theoretical investigation of a thiazole carboxamide derivative and its interactions with tribbles pseudokinase
In this work, we present the computational investigations of a thiazole carboxamide derivative encompassing density functional theory, topological analyses and in-silico biological studies. Beginning with geometry optimization, DFT studies included frontier molecular orbital and theoretical electronic spectra analyses, polarizability and hyperpolarizability studies and thermodynamic studies via frequency calculations. All calculations were modelled in five solvents using IEFPCM solvation model. Detailed insights into the electronic structure of the molecule were obtained by topological analyses. Biological assessment included generation of drug-likeness and pharmacokinetic descriptors using online tools and molecular docking. Docking of the molecule in Tribbles pseudokinase targets 5CEK and 5CEM revealed a binding energy of ?6.93 kcal/mol and ?6.46 kcal/mol respectively with a corresponding inhibition constant of 8.26 and 18.50 ?M. 2025 Elsevier B.V. -
Theoretical Investigation of Optical WDM Network Performance in the Presence of FWM and ASE Noise
In this article, for an optical star wavelength division multiplexing (WDM) network, with quality factor (Q-factor) as performance metric, we investigate the performance degradation due to the combined effects of four-wave mixing (FWM) and amplified spontaneous emission (ASE) noise. A mathematical model is developed, and the simulations are performed based on the optical frequency grid defined by the ITU-T Recommendation G.692. Further, the analysis is conducted for the optical fibers that are ITU-T compliant viz. G.652, G. 652D, G. 653, G. 654 and G.655. The simulation results show that, compared to the other fiber types, performance of the G. 652D and G.652 fibers is the "best", thus justifying the preferred use of fibers with high dispersion and effective area values. The simulation results also highlight that with the use of a fiber having low dispersion and effective area value, it may not be possible to obtain the desired performance. 2017 by De Gruyter 2017.