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Catalysts of Change: The Transformative Journey from HR 1.0 to HR 5.0 Innovations, Challenges, and Strategies in Human Resource Management with Technology and Data-Driven Integration
Human Resource Management (HRM) has evolved significantly, transitioning from HR 1.0 to HR 5.0 due to technological advancements, shifting demographics, and the demands of the global business environment. This chapter highlights the evolution of HRM discussions, focusing on the key changes, concerns, and approaches that have characterized this transformation. In the HR 1.0 phase, the emphasis was on paperwork and routine clerical tasks. This laid the basis for the kind of advancement that was HR 2.0, which brought into account computerization and rudimentary data interconnection. In HR 3.0, SHRM became dominant, meaning that organizational HR practices were oriented only to achieving strategic objectives. There was a shift in the application of digital technology in performing human resource activities under the emergence of HR 4.0. The present phase is called Human Resources 5.0 (HR 5.0), which marked the strain referred to as ''People First." This approach is a mixture of Technologies Focus and Humanity Focus with an ample concern on the experience and emotional state of the employees fused with the capacity of the organizations to deal with competitive issues common to most firms. It also explores the influences that have led to these changes such as; technological developments, geographic expansion, and prospective staff demands. It also looks at possible risks linked to each shift among them, resistance to change in organization cultures, threats to data privacy amongst others plus the need to acquire higher skills. Moreover, the triple-layered paper maps actionable approaches toward the transformation of HR that are supported by cases that focus on learning culture, diversification, inclusion, and the utilization of big data. Reading through this paper to understand how HR has evolved from 1.0 to 5.0, will help HR managers, and organizations get ideas on how to meanwhile shape their human resource management strategies and advancement in the ever-growing global economy. 2025, The Research Publication. All rights reserved. -
Gamification Analytics for Enhancing Engagement in Digital Repositories
Digital repositories are critical in storing and distributing of scholarly materials and research data applicable in different fields. One thing, which is a problem despite the academic setting, is the need to sustain a user activity as the motivation to use a repository is not always consistent. One of the issues that could be solved with the help of Gamification is the need to maintain interaction by incorporating game elements into non-game contexts. This article presents a discussion on enhancing interaction with digital repository users and finding information using gamification analytics. By capturing real-time data and making behavioral decisions, we will learn how users engage with the gamification capabilities, such as earning points, badges, leaderboard position, and tracking achievements. This paper will use case study as a research design to investigate the impact of game-like characteristics integrated in an academic repository system. Key performance indicators (KPIs) that are used to measure levels of user motivation and engagement are session time, frequency of visits, and depth of reading. The findings show that the users experienced more active and content-oriented discovery experiences in comparison to the repository when it was configured in relation to their preferences and objectives using user-centered gamification strategies. Also, the study stresses the necessity of constant evaluation and flexible structures to track engagement over a longer period. This study also contributes to the knowledge of digital library sciences by forming a model of introducing gamification strategies into management systems based on data analysis. The results show that analytics can be used as evaluative measures of participation and as evaluative criteria for adjusting designs and enhancing the experience. The Research Publication,. -
Leveraging AI And Blockchain for Secure Digital Right Management in Libraries
The urge to develop the Digital rights management systems that are well-established, protecting the intellectual property, and still facilitating the reasonable access to information is supported by the faster rate of digitization of library materials. The given paper investigates how Artificial Intelligence and Blockchain can be combined to support the safety, accountability, and effectiveness of Digital Rights Management (DRM) systems utilized in modern libraries. AI allows advanced content recognition, behavioral analytics, and authorization, the most important features of intelligent and dynamic rights enforcement. Conversely, Blockchain offers an immutable and decentralized historical document into which the administration of licensing agreements, property, and transactions can be documented and which will reduce the chances of illegal access and piracy. Smart contracts are issued in Blockchain platforms that allow libraries to provide license compliance with the administered copyright licensing, real-time auditing control of access, and numerous others. Licensing requirements can be forecasted, irregularities detected, and fair use policies recommended using automated algorithms formulated using content metadata and usage patterns. When these technologies are integrated, it forms a very accurate and trustworthy digital rights management (DRM) system, which is advantageous to the authors, libraries, and users. The study will present a model that has a conceptual framework aimed at showing what AI and Blockchain technology can become in library DRM systems. In the model design, the privacy of the data, data accuracy, and the ability of the system to expand and the legal issues are considered to be major concerns. Besides, the deliberation focuses on the complexity of the constituent parts as well as interoperability and technology ethics. The introduction of other new technologies leads to an unparalleled change in the way digital resources are organized, accessed, and secured in the library setting and introduces increasingly powerful and flexible information systems. The Research Publication. -
Investigating the Role of Intelligent HR Systems in Enhancing the Relationship Between Employee Engagement and Performance: A Computational Perspective for Economic Development
This study examines the impact of Human Capital Management Practices (HCMPs), specifically employment opportunities, training, and rewards, on employee performance. Work engagement is a mediating component in this analysis. The results indicate that HCMPs enhance employee performance by increasing work engagement. This demonstrates the strategic role that HR plays in developing a motivated workforce that propels business success. Engaging employees is essential for every business to succeed in providing its clients with high-quality services; engaged employees treat customers royally and talk about the success of their organization. According to research, engaged workers are 87% less likely to quit than disengaged ones. They tend to maintain regular attendance without absenteeism, treat their work with care, and contribute to the business's growth. As a result, they are often rewarded for their dedication and commitment. The manager must communicate with employees, listen to their concerns, and reward them for improved work. Employee engagement, on the other hand, improves performance and helps the company expand. It is bothering because employees who are less engaged are more likely to leave than those who are more engaged. When workers are engaged, they work hard, do better at their jobs, and stick with the company for years. To measure the level of engagement, research indicates that companies with poor employee engagement experienced an average operational income decrease of almost 32%, created a foundation for engagement to occur easily, set goals and tracked employee engagement, and encouraged continued high engagement levels with routine public recognition for employees who are engaged. The primary task is to break the culture of dependency on leaders and develop teamwork with visibility to accountability and engagement. This empowers employees to solve their issues and provides opportunities for coaching and mentoring. High employee engagement results in high organizational performance. The Research Publication. -
Explainable Information Retrieval Techniques in Academic Search Engines
Due to the rapid increase in scholarly publications globally, researchers rely heavily on specialized academic search engines to gather pertinent information. However, the algorithms used in many of these systems create a black box that breaches transparency, significantly eroding user trust and interpretability. Thanks to XIR, Explainable Information Retrieval, this issue has become a thing of the past. Users can now receive easily understood rationales for why documents were retrieved and how the documents were ranked. This work examines the various XIR techniques integrated into academic search tools, assesses their application methods, and analyzes how effectively they enhance users' understanding, satisfaction, decision-making, and information processing. The paper also formulates a central proposal, which incorporates important elements of XIR, and highlights remnant problems that require deeper analysis. The Research Publication, www.trp.org.in. -
Compressed Data Representation Methods for High-Speed Search
The current age of computing revolves around data; the ability to fetch and store large quantities of information has become imperative for systems such as embedded systems and even search engines. Methods of compressed data representation are vital, as they enable faster query execution while reducing the storage space needed. This paper has analyzed such methods. The authors have reviewed bitmap indexing, inverted index compression, succinct data structures, LZ-based schemes, and compressed tries based on the set criteria of practical usefulness, search performance, and space efficiency. Through qualitative metrics, the authors performed a comparative evaluation, which is then represented in a conceptual figure and through tables. Moreover, the paper analyzes potential use case scenarios in domains such as bioinformatics, log management, edge computing, and AI-powered search pipelines. Other issues that have been explored include a balance between compression and query latency, optimizing for heterogeneous hardware, encrypted data search, and searching through encrypted data. The findings illuminate previously unexplored areas of research, including learned indexing, adaptive compression, and searching with minimal energy expenditure. The Research Publication,. -
Enhancing Personalization in Search Engines Through Behavioral Profiling
With the development of search engines, people demand more contextual, relevant, and important results according to their needs and preferences. The current paper will examine the enhancement of search engine personalization through behavioral profiling, which involves capturing user interaction data, such as search histories, clicks, and other similar data, to understand user interests and intentions. The behavioral profiling promotes the ability to adjust the results to the requirements of mutual changes in user behavior and apply machine learning algorithms and advanced data mining techniques. We describe the key aspects of the successful behavioral profiling systems, such as user modeling, data collection frameworks, and privacy boundaries of the data protection. The paper will address the points mentioned by providing behavioral profiling to enhance user satisfaction and effective search and engagement. It will discuss the predictive relevance ranking's triple impacts on socioeconomic gains: time, energy costs, and attention time. We also discuss the ethical issues of user data collection, and the invitation implies achieving the appropriate compromise between individualization and privacy. By the case studies and comparisons, we affirm that the behavioral personalization greatly improves the accuracy of the search when the methods are either static or generic. This study enhances the design of a smart, convenient search engine by cultivating actionable, individual-sensitive recency search. It aims to smoothly aid personalized interactions in real time, inspiring advancement in context-sensitive retrieval systems. The Research Publication,. -
Bridging the Skill Gap: Correlating Affective Competencies with Innovation and Technology Preparedness Among Software Professionals
This research focuses on examining the relationship between innovation and technology readiness skills and the affective competencies of IT/ITeS professionals. This research also explores the impact of affective competencies in the work environment. The study highlights how affective competencies like appreciation, motivation, attitudes, and values shape workplace interactions and influence professional success rather than focusing on secondary emotional competencies. A logical connection has been created empirically between affective competencies and their significance in interpersonal relationships, addressing emotional attributes such as feelings, motivation, appreciation, values, and attitudes. This research study is a section of a survey of 457 IT/ITeS professionals, aiming to explore the skills gap analysis on Bloom's paradigms on cognitive, affective, and psychomotor competencies. This article specifically focused on the impact of affective competencies across various IT/ITeS job roles, like Software / Web developers IT/ITeS job roles. The findings reveal a growing realization in the industry: affective competencies are not optional. They are foundational to thriving in dynamic, tech-driven work environments and fostering effective collaboration with teams and clients in the IT/ITeS sector. The Research Publication, www.trp.org.in. -
Systematic Review on Online Brand Advocacy's (OBA) Antecedents and Consequences
Objective: The primary objective of this study is to discern and synthesize the antecedents and consequences of online brand advocacy (OBA) through a systematic review of empirical studies that employ OBA as a measurable construct. In this study, the gap in our knowledge about the drivers and the effect of OBA is identified, with the synthesis of empirical evidence being made on a systematic level to determine the main antecedents and outcomes of OBA. Methodology: A total of 35 peer-reviewed articles were compiled from Web of Science, Taylor and Francis, Springer, and Sage databases. The search keywords included OBA, Online brand advocacy, and brand advocacy. Inclusion criteria were restricted to quantitative, survey-based empirical studies conducted between 2010 to 2021. Findings: The antecedents, consequences and theories of OBA were categorised into six themes: customer-brand relational factors were brand identification, brand equity, trust factors, brand loyalty, brand authenticity, customer satisfaction, individual factors were intrinsic and extrinsic motivations, personality congruence, brand experience, brand love, cognitive and affective image and social factors were community involvement, brand community attachment, social identity, firm performance, wealth creation. Based on theoretical foundations, we have the social identity theory and the social influence theory as the last theme. Originality/value: This review is novel in compiling and categorising the antecedents, consequences, and theories of OBA as used in empirical studies, providing a solid foundation for advancing research on OBA. The Research Publication,. -
Hijab row verdict in India: A sentimental analysis of user responses on Facebook
The hijab controversy, a hot topic in India since January 2022, emerged from a clash between students and college authorities in Karnataka, a state in India. The dispute made its way to Karnatakas High Court, which, on 15 March 2022, ruled that the hijab was not mandatory for religious practices. This decision stirred widespread debates, especially on social media platforms like Facebook. This study is focused on user reactions in The Times of India Dailys official Facebook page, employing sentiment analysis to decipher public emotions, attitudes, and opinions. Nearly 200 comments posted on the verdict day were analyzed, utilizing the routine activity theory (RAT), spiral of silence theory, and online disinhibition effect. The research introduced a unique model, RAT+A, to enhance analysis. As a significant platform for public discourse, Facebook played a crucial role in capturing diverse societal sentiments and reactions regarding this social issue. 2025, First Monday. All rights reserved. -
Attitude of Parents Towards Various Behavior Management Techniques Utilized in Pediatric Dental Treatments
Dental experts are trusted to apply the knowledge and abilities they have acquired during their dental education to the diagnosis and effective treatment of any dental illness. When it comes to pediatric patients, however, the dentist's responsibility is different. However, without the right behavior management method (BMT), therapy outcomes would not be effective. Sometimes young children behave disruptively during dental visits, which makes it easier or harder for the dentist to perform dental work. Nonetheless, before being applied to children, behavior management strategies need the parents' acceptance and consent. This review's objective is to evaluate the dentists' use of effective behavior modification techniques (BMT) as well as the parents' attitudes regarding these techniques. RJPT All right reserved. -
Effect of Microbial Consortium on Biodegradation Process of Organic Waste Materials
Solid waste generation has significantly increased in tandem with population growth, presenting substantial challenges to human health and environmental sustainability. In developing nations such as India, traditional management practices, including incineration and open dumping, continue to prevail despite their detrimental environmental effects. There is a paucity of research focusing on microbial consortia specifically engineered for the accelerated biodegradation of heterogeneous organic waste under local conditions. This study addressed the microbial consortium isolated from waste-associated environments enhancing the rate of organic waste degradation and effect of consortium for improving compost nutrient quality compared to natural decomposition. Microbial strains were isolated from a soil sample obtained from a vegetable and fruit waste disposal site in Bengaluru, Karnataka, India. Among the 50 isolates, five exhibiting strong hydrolytic activity were selected and identified through 16S rRNA sequencing as Cronobacter sakazakii LMSC, Stutzerimonas xanthomarina LMSA, Cronobacter sakazakii LMSPR, Pseudomonas pseudoalcaligenes LMSPE, and Staphylococcus sp. LMSL. A consortium was prepared by inoculating equal proportions of each culture, incubating for 48 hours, and applied it to waste degradation. During composting, temperature (2832 C), pH (neutral to alkaline), and moisture (68.44% in treated vs. 18% in control) were monitored. Nutrient analysis revealed higher values in the treated compost compared to the controls, contributing to enhanced soil quality and plant growth. The novelty of this study resides in the formulation of a native microbial consortium from waste-associated bacteria, which demonstrated superior biodegradation efficiency and compost quality compared to natural decomposition. 2026 Widener University School of Civil Engineering. All rights reserved. -
Retrospective Analysis of Premature Infant Characteristics: Risk Factors, Complications, and Predictive Insights
Premature birth remains a significant global health challenge, contributing to high rates of neonatal morbidity and mortality. This retrospective study analyzes the key characteristics, risk factors, complications, and predictive outcomes affecting preterm infant outcomes. Utilizing established theoretical frameworksincluding the Developmental Origins of Health and Disease (DOHaD), the Bioecological Model, and the Neurodevelopmental Framework this research examines the interplay of prenatal, perinatal, and postnatal influences on neonatal health. A comprehensive analysis of neonatal morbidity trends from 2018 to 2020 highlights both advancements and persistent challenges in neonatal care. By integrating clinical data with theoretical insights, this study provides a refined understanding of the factors influencing preterm infant health. The findings offer valuable implications for improving neonatal risk assessment models, optimizing clinical interventions, and enhancing long-term developmental outcomes for preterm infants. 2025 EL-MED-Pub. All rights reserved. -
JUSTICE BEYOND COURTS: EXPLORING FEMINIST AND DIGITAL APPROACHES TO RESTORATIVE PRACTICE IN INTIMATE PARTNER VIOLENCE
Intimate partner violence (IPV) has been a worldwide problem that has been quite hard to handle with traditional justice systems that lack the capacity to address the intricate needs of victims. The present paper aims to discuss how using restorative justice (RJ) based on feminist theory and driven by digital innovations, a different route to justice other than the traditional courts can be pursued. The research involves integrative qualitative method of synthesizing the results of peer-reviewed literature, policy reports on the assessment of such programs as Project Restore (New Zealand), NYC Blueprint (USA), and Open Circle (Australia), and online interventions, such as AR storytelling and digital mediation sites. This review shows that feminist models of RJ are based on the safety and empowerment of the survivor providing results that criminal courts can hardly provide. Nonetheless, these models do not have an easy time scaling because of resource limitations. Digital technologies, nevertheless, make RJ more accessible and anonymous, but at the same time they have ethical risks, including questions of privacy and algorithmic bias. The paper argues that such problems may be solved through the combination of feminist ethics and responsible digital design to create survivor-led and technology-enabling RJ systems. The results can be used in theory and policy formulation through the suggested model that will combine feminist and digital methods to make justice innovative, but ethically sound. This is an interdisciplinary approach that holds transformative prospects in the context of dealing with IPV worldwide. 2025. -
CORPORATE SOCIAL RESPONSIBILITY: BRIDGING MANAGEMENT PRACTICES AND COMMUNITY DEVELOPMENT
The paper discusses Corporate Social Responsibility (CSR) as a mediating strategy between corporate management and community development in the diverse situations. Indeed, acknowledging the fact that CSR is no longer a pure concept of voluntary charity, but rather a significant part of business logic, the study was conducted with a qualitative and posthumanistic approach through the prism of situated inquiry. Semi-structured interviews with document and artefact analysis, and some field observation was conducted in India, Nigeria, and Saudi Arabia with 27 participants who were corporate managers and NGO and community stakeholders. Findings show that on one hand CSR is integrated as a strategy with organizational objectives, but on the other hand the perceptions differ so much. Interactions historically and the level of participatory planning tended to focus relationships. Digital dashboards were a form of technology that mediated transparency but posed the threat of dehumanizing engagement. There were continuation tensions between performance-based strategies and community-based ethics. The research comes to the conclusion that effective CSR presupposes a combination of strategic intent and trust-building and shared responsibility. It is suggested that collaborative project design, long-term partnership, and proper technological support are to be used as, rather than a substitute to direct community interaction. This issue is to be investigated in the future with respect to how non-human forces and time processes can determine the impressions and results of CSR. On the whole, the study highlights that the transformative aspect of CSR is adaptive, relational, and circumstentially-sensitive practices. 2025. This is an open-access article distributed under the terms of the Creative Commons Attribution License. (https://cre-ativecommons.org/licenses/by/4.0/). -
ON NEAR Fk-PERFECT AND DEFICIENT Fk-PERFECT NUMBERS
For a positive integer n, the arithmetic function ?2(n) denotes the sum of squares of all the divisors of n. A positive integer n is called an F-perfect number if ?2(n) ? n2 = 3n. A positive integer n is termed a near F-perfect number if ?2(n) ? n2 ? d2 = 3n, where d is a proper divisor of n. Similarly, n is considered a deficient F-perfect number if ?2(n) ? n2 + d2 = 3n, where d is a proper divisor of n. In this paper, we discuss several characterizations of these numbers, establish their relations with other significant numbers, and generalize the near-perfect and deficient-perfect numbers. 2025, Colgate University. All rights reserved. -
A NOVEL DATA SECURE MODEL FOR INTERNET OF HEALTH THINGS WITH A NEW LIGHTWEIGHT CRYPTOGRAPHY ALGORITHM AND STEGANOGRAPHY TECHNIQUE
Ensuring the security of data in Internet of Things (IoT) based healthcare systems (HS) presents considerable challenges due to the limitations of traditional embedding methods and cryptography techniques, leading to more memory consumption, more execution time, less security, inadequate payload capacity, and performance inefficiencies. To address these issues, the Bernoulli Fish-based Stego Algorithm (BFBSA) is introduced as an innovative solution. Specifically designed for IoT healthcare data, this algorithm is validated through the encryption and embedding of healthcare data. The process involves initializing IoT healthcare data, encrypting it using the BFBSA algorithm, and embedding the encrypted data within steganographic images. Performance analysis is conducted using key metrics such as payload capacity, encryption time, memory usage, PSNR, and MSE. Comparative analysis with existing approaches highlights the BFBSA models efficiency and its effectiveness in ensuring secure and optimized data management in IoT healthcare environments. Little Lion Scientific -
Characterization, molecular docking, and therapeutic properties of biomaterial obtained from Pangasianodon hypopthalmus
The therapeutic properties of fish have been recognized since ancient times because of the presence of various fatty acids. Oleic acid, which is a mono-unsaturated fatty acid, is known for curing heart-related diseases and promoting brain health. Our study is a first attempt to evaluate the Anti-inflammatory activity, Anti-oxidant activity and perform characterization studies on mucus obtained from Pangasianodon hypopthalmus and explore its therapeutic properties. Anti-inflammatory property evaluation was performed via, albumin denaturation assay showing an 81% inhibition rate and RBC hemolysis assay with a 76.79% inhibition rate, anti-oxidant activity evaluation performed using the DPPH assay showed an 80% radical scavenging activity at 150?g/mL concentration. Overall results showed that anti-inflammatory was highest at 100mg/mL concentration and anti-oxidant activity was highest at 150?g/mL concentration. Characterization studies involved FTIR, NMR and GCMS analysis. Simulation study was performed on selected compound (ligand) against selected targets. From GC-MS analysis, C18 H34 O2 (Oleic acid), was found to be present at higher concentration. Docking studies revealed good binding energy and strong hydrogen bonding between oleic acid and TNF-?, with a binding energy of ?5.3 kcal/mol, thereby demonstrating strong anti-inflammatory activity and wound-healing potency. Further in-vitro and in-vivo analysis has to be performed to develop potential drug for therapeutic purpose. 2026 Visagaa Publishing House. -
Economic resilience in the face of pandemic: a holistic mathematical analysis of the pandemic in India
COVID-19 was initiated in 2020 and caused an immediate threat to global countries in terms of both economic and health influences. In this present work, we extend the Susceptible-Infected-Recovered (SIR) model by considering two new variables, gross domestic product or GDP (G) and unemployment (U), to study the impact of this epidemic on the Indian economy during the 20202023 period. Since our extended SIR model includes two novel compartments, which are GDP and unemployment rate, we can now explore in more detail the sophisticated relationship between health and economic matters. The framework allows us to investigate the following consequences: how changes in the infection rate affect the economy and how changes in GDP and unemployment translate into the spread of this contagion. These visualizations are based on real-time quarterly data and provide full knowledge of the interaction between health and economic dynamics during the COVID-19 crisis in India. Government initiatives and regulations are also reviewed for their efficiency to contain the virus while taming the economic cost. Real-world results are contrasted with the care to find the strengths and weaknesses of the policies that come out with the underlying assumptions in the model. This paper, in other words, deploys an in-depth analysis of the convoluted links between economics, policy, and public health in the face of a pandemic with a geographic focus in India. 2025 by the authors. -
"COMMUNITY RESILIENCE AND URBAN PLANNING: INTEGRATING SOCIAL CAPITAL AND INFRASTRUCTURE STRATEGIES"
Community resilience in urban settings is increasingly recognized as critical for mitigating and recovering from various disruptions. This research investigates the integration of social capital and infrastructure strategies in urban planning to enhance community resilience. A mixed-methods approach was employed, including qualitative interviews with stakeholders and case studies, alongside quantitative surveys. Findings underscore the pivotal roles of strong social networks and resilient infrastructure in fostering community resilience. Communities with robust social capital demonstrate enhanced capacity for collective action and resource mobilization during crises. Effective infrastructure systems, including resilient buildings and reliable utilities, support continuity of services and expedite recovery. The study advocates for integrated approaches in urban planning that prioritize community engagement, equitable resource distribution, and adaptive infrastructure design. Practical implications highlight the need for policymakers and planners to invest in both social capital initiatives and resilient infrastructure projects to build sustainable and resilient urban communities. 2025 Green Publication. All rights reserved.