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Innovation journey: Unleashed business applications framework
This chapter gives a thorough framework for understanding the dynamics and applications of innovation in the business environment. In today's fast-paced and competitive world, innovation is essential for organizational growth, adaptation, and sustainability. This study takes a descriptive approach, addressing the complexities of creativity across multiple dimensions. This chapter offers a conceptual overview before examining the various aspects of innovation and its function as a driving force behind strategic initiatives and a means of fostering competitive advantage. It provides a thorough study that clarifies the various stages of the innovation process, from ideation to optimization, emphasizing key challenges and opportunities at each level. It provides a road map for businesses looking to foster an innovative culture and use it as an outlet for value creation and competitive advantage by adopting a comprehensive viewpoint. 2024, IGI Global. -
Innovation Through Collaboration Leveraging Knowledge Sharing for Global R&D Success
Innovation today thrives on collaboration and knowledge sharing, making research and development (R&D) a collective effort rather than an isolated pursuit. Organizations, governments, and research institutions worldwide rely on crossborder partnerships to drive technological advancements. This chapter explores the role of knowledge sharing in global R&D, highlighting digital platforms, AI, and open innovation models that facilitate collaboration. Despite its benefits, challenges such as intellectual property concerns, cultural differences, and trust deficits hinder knowledge exchange. Through case studies and best practices, this chapter examines strategies for overcoming barriers while ensuring sustainable innovation. By integrating technological tools and governance frameworks, organizations can enhance R&D outcomes and maintain a competitive edge in a rapidly evolving landscape. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Innovations in Neurocognitive Rehabilitation: Harnessing Technology for Effective Therapy
Neurocognitive disorders, such as Alzheimer's disease, stroke, and traumatic brain injuries, have a significant global impact, causing significant challenges for healthcare systems and families. Traditional rehabilitation methods often do not effectively target the diverse and complex cognitive impairments associated with these illnesses. Technology facilitates personalized rehabilitation approaches, enhances patient engagement, and enables unbiased evaluations of progress. This book is particularly pertinent in an era of rapid technological advancement, as it presents exceptional opportunities to revolutionize neurorehabilitation techniques and improve patient outcomes. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Innovations in teaching-learning and evaluation: An overview of processes undertaken at CHRIST (Deemed to be University)
The term 'teaching-learning' intrinsically expresses the ongoing learning process that every educator constantly experiences; to teach is to learn and to engage in knowledge updation continually. Indeed, it may be argued that the very basis of being a teacher is the facilitation of one's own learning opportunities and skill sets. In investigating the evolution of teaching-learning processes at CHRIST, one may define the university's growth using the key concept of 'innovation '. Whether it be the humanities, social sciences, life sciences, or business studies, innovations in teaching-learning methods are imperative in any globally conscious education system today. Two of the key areas of focus in terms of innovations in the teaching learning process are the practical application of knowledge and learnt skills. 2021, IGI Global. -
Innovative Approaches to Employee Compensation and Motivation: Designing Strategic Reward Systems
This explores the evolution and strategic relevance of reward systems in enhancing employee motivation and organizational performance. Moving beyond traditional pay structures, it emphasizes the integration of innovative compensation models aligned with business objectives and employee expectations. Drawing upon key motivational and behavioral theories, the discussion covers both monetary and non-monetary components of total rewards, including performance-based pay, recognition programs, flexible benefits, and career development opportunities. This examines the role of technology, sectoral differences, and cultural contexts in shaping reward strategies across global organizations and contemporary challenges such as pay equity, remote work compensation, and ethical considerations. Case examples and global practices are analyzed to provide actionable insights. The chapter concludes with future-oriented recommendations for designing inclusive, adaptive, and sustainable reward systems that foster engagement, retention, and strategic alignment in a rapidly changing workforce environment. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Innovative approaches to renewable energy storage: Bridging the gap for a sustainable future
In this chapter, we reviewed works related to renewable energy storage technologies with a focus on innovative solutions that can increase the efficiency, scalability and sustainability of energy systems. This includes advanced materials such as solid- state and lithium- air batteries, hybrid storage systems combining multiple technologies, and decentralised storage supporting grid resilience and energy security. By storing energy generated from renewable sources such as the sun and wind, these innovations seek to reduce carbon footprints and enable a transition to a more sustainable energy future by solving the issue of the intermittency of renewables. The chapter examines the emerging trends and technological developments, highlighting the critical role that next- generation energy storage systems can play in driving the global shift towards renewables and transforming energy infrastructure into a cleaner, more resilient world. 2025, IGI Global Scientific Publishing. All rights reserved. -
Innovative constraints formulation in timetable planning for efficient resource allocation in academic institutions
Many developing nations still rely on manual timetable scheduling in academic institutions, leading to inefficiencies. However, advancements in technology have introduced software solutions such as FET (free evolutionary timetabling) to automate the process. In a study, the authors successfully implemented FET to automate timetable creation at a university, reducing the time required from days to seconds. Scheduling in universities with elective courses poses challenges, includingavailable rooms, faculty availability, and guest lecturers. The authors propose a unique timetable generation process that considers post-pandemic social distancing measures. This process addresses various complex constraints faced by academic institutions and holds potential for reopening institutions in a cautious manner following the pandemic. 2023, IGI Global. All rights reserved. -
Innovative fish peptide-loaded chitosomes: Advancing bioactive delivery through comprehensive in vitro and in vivo assessments
Considerable advancements have been achieved in controlled delivery systems, yet ensuring optimal stability, bioavailability, and precise targeting of bioactive compounds continues to present challenges. Addressing this gap, the present study explores chitosomeslipid vesicles stabilized by chitosanas a promising approach to enhance the delivery efficiency of bioactive molecules. This study investigate fish peptide-loaded chitosomes, leveraging chitosan's biocompatibility, biodegradability, and encapsulation capabilities. A comprehensive evaluation was conducted under both in vitro and in vivo conditions to assess their potential applications. In vitro studies using L929 cell lines demonstrated high biocompatibility, efficient cellular uptake, and sustained cell viability, with a dose-dependent cytotoxicity profile, leading to early and late apoptosis. The tolerance, favourable metabolic stability, and biomarker responses were validated by in vivo evaluations in Albino Wistar rats, demonstrating systemic efficacy and safety. Moreover, the peptide-chitosome formulation demonstrated a lipid-lowering impact, as evidenced by increases in high-density lipoprotein (HDL) and unsaturated fatty acids and decreases in triglycerides, saturated fatty acid content, and low-density lipoprotein (LDL). These findings highlight the potential of fish peptide-loaded chitosomes as an advanced bioactive delivery system, addressing existing limitations and expanding their applicability in nutraceutical and therapeutic formulations. 2025 The Author(s) -
Innovative Frameworks for LMS Integration in Public Education: Balancing Local Needs with Global Standards
India has made significant progress in using digital technology in education, with Learning Management Systemsplaying a key role. LMS offer scalable platforms for content delivery, assessment, and engagement, enhancing both teaching and learning. They enable personalized learning, simplify administrative tasks, and bridge the digital divide, improving accessibility across geographies. One such initiative, eVidya, provides digital content to school students. This study explores the role of LMS in public education and the challenges of integrating them into government schools, balancing local needs with global standards. The paper analyzes LMS evolution, key features, and benchmarks, with a detailed review of India's DIKSHA system and comparisons with international platforms like Google Classroom, Canvas, Moodle, and Schoology. It looks at country-specific LMS solutions from the US, Europe Australlia and Asia. The research proposes the Integrated eVidya-LMS Implementation Framework for Karnataka's schools, highlighting the potential benefits for India's digital education landscape. 2026, IGI Global Scientific Publishing. All rights reserved. -
Innovative Hybrid Models for Predicting Diabetes: CNN-LSTM Hybrid and Calibrated Soft Voting Model
This study assesses four ensemble techniques - stacking, soft voting, hard voting, and calibrated soft voting - for predicting diabetes onset using the Pima Indians Diabetes dataset. Traditional single-model methods are contrasted with these advanced ensemble approaches, which integrate multiple models to enhance predictive accuracy. The evaluation included metrics such as accuracy, precision, recall, F1 score, and AUC. The CNN-LSTM model was also examined, achieving an accuracy of 75%, precision of 70%, recall of 69%, and an F1 score of 72%. Among the suggested methods, the calibrated soft vote model was the most effective, with improved performance compared to the rest of the techniques. Upcoming studies will address the combination of these models with real-time monitoring systems and deploying their use across a broad range of datasets and medical conditions. 2025 IEEE. -
Innovative implementation, ethical challenges, and future prospects of artificial intelligence in pharmaceuticals
Incorporation of pharmaceutical industry and artificial intelligence (AI) is revolu-tionizing patient care, drug development, and discovery. Drug interactions have been predicted using machine learning techniques, optimal molecular structures have been designed, and clinical trial lengths have been reduced. Ethical problems including violations of data privacy, biassed algorithms, and unequal access to AI-informed treatments have been highlighted in the face of these technologies Reacting to these problems, regulatory models have been debated and passed. It is well known that artificial intelligence can drive therapeutic developments and customize medicine. One expects continuous innovations in artificial intelligence technologies to change the pharmaceutical industry. Ethical standards must be reinforced and openness kept if artificial intelligence is to be fully embraced. Innovation must guide newly developing projects. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Innovative instructional strategies that motivate students to learn during the pandemic
Coronavirus disease (COVID-19) has spread all over the world affecting public health at the outset of 2020. This has slowed down almost every sector of human life including education. However, few of the private educational institutes have risen to the occasion immediately and have continued providing education online. Teachers were forced to adapt themselves to teach online. Students started to attend online classes from home. Inevitably, parents had to invest in purchasing computers or smartphones and internet connections to support their children's education. Though all these changes began with an overwhelming spirit from all stakeholders, in no time it has become a monotony. This has led to the present study to find innovative instructional strategies that can motivate learners to learn and sustain interest in learning during pandemics. The present study employs a qualitative research design to address this issue. 2022, IGI Global. -
Innovative Leadership and Sustainable Development: Exploring Resource-Efficient Strategies Among Indian Managers
Global sustainability challenges demand innovative leadership approaches, particularly in resource-constrained environments where traditional models may fall short. The current study aimed to explore the need for adaptive, resource-efficient leadership by examining key traits such as empathy, inclusivity, adaptability, and intuitive decision-making that allows managers to balance immediate organizational demands with long-term sustainability goals. A Qualitative-Interpretative Phenomenological Approach was adopted. A total of 28 senior Indian managers were interviewed to understand traits aligned with stakeholder theory and the resource-based view, positioning them as strategic assets for achieving sustainable competitive advantage. Findings revealed that culturally resonant practices of frugality and resilience support social innovation and organizational resilience, contributing to broader sustainable development objectives. Further, it advances sustainable leadership literature by showcasing how resource efficiency and contextual adaptability can foster impactful, sustainable practices, particularly within emerging economies. 2024 ERP Environment and John Wiley & Sons Ltd. -
Innovative Method for Alzheimer Disease Prediction using GP-ELM-RNN
Brain illnesses are notoriously challenging because of their fragility, surgical complexity, and high treatment costs. Contrarily, it is not obligatory to carry out the operation, as the outcomes of the procedure may fall short of expectations. Adult-onset Alzheimer's disease, which causes memory loss and losing information to varied degrees, is one of the most common brain diseases. This will vary from person to person based on their current health situation. This highlights the need of using CT brain scans to classify the extent of memory loss and determine the patient's risk for Alzheimer's disease. The four main goals of Alzheimer's disease detection are preprocessing the data, extracting features, selecting features, and training the model with GP-ELM-RNN. The Replicator Neural Network has been utilized earlier for AD detection, however this study offers an improved version of the network, modified with ELM learning and the Garson algorithm. From this study, it is deduced that the proposed method is not only efficient, but also quite precise. In this research, GP-ELM-RNN network is built to four groups of images representing different stages of Alzheimer's disease: very mildly demented, mildly demented, averagely demented, and non-demented. The class of very mildly demented patients was found to have the highest accuracy (99.1%) and specificity (0.984%). As compared to the ELM and RNN models, this technique achieves superior accuracy (around 99.23%). 2023 IEEE. -
Innovative Method for Detecting Liver Cancer using Auto Encoder and Single Feed Forward Neural Network
Liver cancer ranks sixth among all cancers in frequency of incidence. A CT scan is the gold standard for diagnosis. These days, CT scan images of the liver and its tumor can be segmented using deep learning and Neural Network techniques. In this proposed approach to identifying cancer cells, it's focus on four important areas: To enhance a photo by taking out imperfections and unwanted details. An ostu method is used for this purpose. Specifically, this proposed approach to use the watershed segmentation technique for image segmentation, followed by feature extraction, in an effort to isolate the offending cancer cell. After finishing the model training with AE-ELM. To do this, Extreme Learning Machine incorporates an auto encoder. To achieve effective and supervised recognition, the network's strengths of Extreme Learning Machine (ELM) are thoroughly leveraged, including its few training parameters, quick learning speed, and robust generalization ability. The auto encoder-extreme learning machine (AE-ELM) network has been shown to have a respectable recognition impact when the sigmoid activation function is used and the number of hidden layer neurons is set to 1200. According to the results of this investigation, a method based on AE-ELM can be utilized to detect the liver tumor. As compared to the CNN and ELM models, this technique achieves superior accuracy (around 99.23%). 2023 IEEE. -
Innovative Natural Disaster Precautionary Methods Through Virtual Space
Humancomputer interaction is the study of a human and computer interaction in which we analyze and create an interface between the humans and the computer to decide to which extent it is possible to interact with computers which change the way of the usual lifestyle that can evolve the future generations according to the humans convenience. Virtual reality environments in natural disasters are to train people to overcome or prevent their lives from risky situations. When it comes to natural disasters, people never know when such disasters strike in their daily lives, so it is necessary to be prepared to face such consequences. Though the rescuers are there to save the lives of the people, it is not possible to wait for the rescuers all the time, and the situations may also be even worse than the expected. It becomes highly impossible to take precautionary measures; therefore, after the warning of the disaster, people can prepare themselves to survive such situations without the help of rescuers. Different disasters happen in different landscapes; for example, Tsunami occurs in the sea, floods occur as a temporary disaster that covers the land with water, usually not covered by water, and many other disasters that cause life and damage property. Therefore, with the help of virtual reality simulation, people can be trained according to the scenarios or the natural disaster created by the computer-generated 3D environment where the trainee can interact and perform actions generated based on the scenarios. In the virtual world, provided in the head-mounted display, the user can be trained upon by first instructing what to be done and later, after understanding the situation, the trainee is put into a natural disaster scenario where he performs the precautionary measures that need to be done based on the scenario and prepare accordingly in such situations so that before the arrival of the rescuers, people would be more aware of what measures to be taken and react accordingly in such a way that it reduces the risk of life. The chapter further explains in detail about humancomputer interaction (HCI), virtual reality (VR), advantages and disadvantages of virtual reality, various natural disasters, and the role and impact of VR environment in creating awareness and providing precautionary measures for preventing natural disasters. When it comes to immersive technology and smart cities, it is equally important to make everything smart according to the changing generations and technologies in our day-to-day lives. On the other hand, when dealing with people to make them understand and educate things, we must also enhance teaching and make them feel interested in whatever we impose on them. So, when we give the people a 360-degree view or a three-dimensional view of the scenarios, it helps them experience like they are actually into the scenario to understand and make immediate decisions. The advantage of using such immersive technology is that when errors or misjudgments are made to learn from the mistakes and correct it, it helps them understand the scenario and take spot and efficient decision at the time of disasters which will have a significant impact on rescuing the lives of the people. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Innovative paths to energy efficiency and CO2 reduction in supply chains
The undercurrents of the model provide innovative pathways to energy efficiency and collaboration strategies to reduce CO2 emissions throughout the sustainable supply chain. It highlights the importance of multi- stakeholder engagement in catalyzing transformative change to global systems. By implementing new technologies, enhancing efficiencies, and leveraging renewables, organizations can improve their sustainability performance. Overcoming the barriers to collaboration in this chapter, the challenges and potential solutions of cooperation are discussed, including supportive policy frameworks and collaborative training programs. Ultimately, it sees a better future, one where the capacity for innovation and stakeholder engagement enables a resilient, low- carbon supply chain network that is made even more resilient as we work to align economic outcomes with environmental needs in the age of climate change. 2025, IGI Global Scientific Publishing. All rights reserved. -
Innovative Power Conversion Solutions for Renewable Energy and Electric Mobility
The global transition to renewable energy sources and electrification demands efficient power conversion systems for applications like hybrid electric vehicles (HEVs) and energy storage systems. This paper introduces a novel Multi-Port Bidirectional DC-DC/DC-AC Converter (MBPC) with high efficiency, compact design, and versatile functionality. The MBPC supports two input and two output ports, enabling energy flow between renewable energy sources, storage systems, and loads. Its efficiency exceeds 95%, with a power density of over 10W/cm2. The innovative design minimizes component count, reducing manufacturing costs by 30% compared to conventional converters. Extensive experimentation validates its ability to handle varying current-voltage profiles in multiple operational modes, including DC-DC and DC-AC conversions. With applications in grid-tied systems and electric vehicles, the MBPC addresses efficiency, cost, and flexibility challenges in modern power systems. This work contributes to advancing renewable energy integration and efficient electrification solutions. 2025 IEEE. -
Innovative recruitment channels: Leveraging social media and virtual job fairs for talent acquisition
Amidst the dynamic realm of talent acquisition, organizations are increasingly adopting inventive approaches propelled by technological progressions and shifts in candidate conduct. Employing social media platforms has evolved into a crucial strategy for engaging, retaining, and attracting top talent. Ethical considerations, data-driven insights, and compliance are critical factors that significantly influence recruitment practices. Emerging virtual job marketplaces provide employers with novel opportunities to network with prospective employees. By embracing digital transformation, leveraging emerging technologies, and prioritizing candidate experience, organizations can remain competitive in attracting and retaining talent in today's dynamic job market. 2024, IGI Global.