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Place-based strategies, multichannel merger, and context-driven alerts for engagement with mobile marketing
Mobile marketing is essential for timely, personalized communication in the digital world. Engagement is increased by location-based strategies like geofencing and context-driven notifications. Integrating social media improves ties with customers. In the digital age, multi-channel integration guarantees a smooth and personalized experience. As per the authors, this chapter explores how location-based suggestions, context-driven notifications, and multi-channel integration enhance client connections while highlighting the significance of geolocation data for targeted content. For context-driven notifications to be effective, helpfulness and privacy must be balanced. Companies create stronger relationships with their consumers and improve the customer experience, which motivates both present and new customers to engage and connect with their brand. An analysis is conducted on the changing field of mobile marketing, emphasizing the use of location-based tactics, multi-channel integration, and context-driven notifications to increase user engagement. 2024, IGI Global. All rights reserved. -
Involvement and implementation of corporate social responsibility (CSR): A case of COVID-19 evidence from various countries
Industry performance is a pivotal indicator for assessing the robustness of economic growth of a country. Any fluctuations in this indicator wield considerable influence over economic growth. Previous research has established that the industry performance is not a static phenomenon but rather exhibits variations across different time periods. Amongst the multitude of crises, the COVID-19 pandemic reverberated across every nation, spreading to all strata of society. It had an adverse impact on both public and private sector impacting the lives of millions. Industries were struggling with dwindling profits, thus trying vehemently to cut costs in diverse realms. This challenging financial predicament made it difficult for companies to uphold their corporate social responsibilities. Hence, only a few companies initiated CSR activities due to the paucity of funds. Having this in the backdrop, this case study analysis aims to examine corporate involvement and implementation of CSR activities during the COVID-19 pandemic and assesses the extent to which these activities have helped improve people's lives. 2024, IGI Global. All rights reserved. -
Digital educational neuropsychology: Challenges and opportunities
This chapter introduces the various facets of digital educational neuropsychology. It begins by explaining digital educational neuropsychology and the current practices in digital neuropsychology. It then explains the opportunities and the challenges faced by neuropsychology in digitization of neuropsychology education, training, assessment, and rehabilitation and how it can be improved. The challenges in the implementation of digital educational neuropsychology in terms of access and equity; validity and reliability of digital assessments; training and professional development; variability in the perceptual, motor, and cognitive demands across different devices; and the rapid changes in technology are explained elaborately. A full discussion on opportunities including enhancement of digital education using neuropsychological techniques, neuroscience experimental techniques, in tandem with behavioural measures is provided. Further, the importance of collaborative effort from professionals is required to build more effective strategies for digital education is emphasized. 2024, IGI Global. All rights reserved. -
ChatGPT in education: Augmenting learning experience or dehumanizing education?
This chapter critically examines the potential of ChatGPT, an AI language model, to revolutionise education. It presents a comprehensive analysis of the advantages and disadvantages of using ChatGPT in education, including its ability to enhance the learning experience and the potential loss of essential skills due to over-reliance on technology. The chapter also raises ethical concerns about using ChatGPT in education, including data privacy and bias. Ultimately, the chapter concludes that ChatGPT should be used with human teachers to create a learning environment combining technology and human interaction. It highlights the importance of using ChatGPT responsibly to enhance, rather than dehumanise, education. 2024, IGI Global. All rights reserved. -
Technology-integrated after-school program: A case study of the DREAMS intervention
In the rapidly evolving context of the 21st century, education is experiencing a profound and transformative shift, driven by the emergence of digital technologies. This innovative paradigm seamlessly weaves technology into the very fabric of learning and administration, not only within the traditional school setting but also extending its transformative reach to affiliated initiatives like after-school programs. The aim of this chapter is to share the valuable insights and firsthand experiences gained from the integration of technology in the DREAMS program in both learning and project management. By sharing these learnings, the chapter aims to share the knowledge and best practices of adopting technology in any program. 2024, IGI Global. All rights reserved. -
Big data analytics lifecycle
Big data analysis is the process of looking through and gleaning important insights from enormous, intricate datasets that are too diverse and massive to be processed via conventional data processing techniques. To find patterns, trends, correlations, and other important information entails gathering, storing, managing, and analyzing massive amounts of data. Datasets that exhibit the three Vs-volume, velocity, and variety-are referred to as "big data. " The vast amount of data produced from numerous sources, including social media, sensors, devices, transactions, and more, is referred to as volume. The rate at which data is generated and must be processed in real-time or very close to real-time is referred to as velocity. Data that is different in its sorts and formats, such as structured, semi-structured, and unstructured data, is referred to as being varied. 2024, IGI Global. All rights reserved. -
Revisiting African womanhood: Historical archives
This chapter highlights African women's lives, experiences, and contributions to the continent's social, economic, and political development by revisiting historical archives about African womanhood. The chapter provides critical insights into the diversity and complexity of women's experiences in pre-colonial, colonial, and post-colonial contexts by examining historical sources such as oral histories, archival documents, and secondary literature. The chapter explores topics including women's roles in pre-colonial societies, the impact of colonialism on women's lives, women's activism in nationalist movements, and the challenges and opportunities of post-colonial African femininity. It also emphasizes the impact of gendered power relations on women's lives and women's strategies to resist and challenge these power dynamics. In conclusion, the chapter demonstrates the significance of emphasizing women's voices and perspectives in writing African history and its implications for current efforts to advance gender equality and social justice in Africa and beyond. 2024, IGI Global. All rights reserved. -
Clinical Intelligence: Deep Reinforcement Learning for Healthcare and Biomedical Advancements
Deep reinforcement learning (DRL) is showing a remarkable impact in the healthcare and biomedical domains, leveraging its ability to learn complex decision-making policies from raw data through trial-and-error interactions. DRL can effectively extract the characteristic information in the environment, propose effective behavior strategies, and correct errors that occurred during the training process. Targeted toward healthcare professionals, researchers, and technology enthusiasts, this chapter begins with notable applications of DRL in healthcare, including personalized treatment recommendations, clinical trial optimization, disease diagnosis, robotic surgery and assistance, mental health support systems, chronic disease management and scheduling, and a few more. It also delves on challenges such as data privacy, interpretability, regulatory compliance, validation, and the need for domain expertise to ensure safe and effective deployment. Next, the chapter seamlessly transitions into DRL algorithms contributing to the biomedical field which are gaining traction due to their potential to provide timely and personalized interventions. Over time, the research community has proposed several methods and algorithms within the field of deep reinforcement learning that help agents learn optimal policies from rich data. Healthcare data is often complex, high-dimensional, and unstructured, such as medical images, genomics data, and patient records. The healthcare-suitable DRL algorithms such as Q-learning, SARSA, Bayesian, actor-critic, reinforcement learning (RL), Deep-Q-Networks (DQN), and Monte Carlo Tree Search (MCTS) are highlighted. In addition, the section offers guidelines for the application of DRL to healthcare and biomedical problems, aiming at providing indications to the designer of new applications in order to choose among different RL methods. Furthermore, a case study is included to fully realize the revolutionary benefits of DRL in healthcare environments, aiming to bridge the gap between theory and practice. The case study presents a remarkable impact on categories such as precision medicine, dynamic treatment regime, medical imaging, diagnostic systems, control systems, chat-bots and advanced interfaces, and healthcare management systems. 2024 Scrivener Publishing LLC. -
Bionanomaterials in Environmental Protection
The advent of globalization with ongoing anthropogenic actions has increased the rate of contaminants worsening aquatic, soil, and air systems, with increasing concern throughout the world. The several problems posed by these pollutants have endangered the environment as well as humans, leading to the application tasks of various conventional methods options to remove the pollutants. However, these technologies are costlier, of long duration, increasing energy consumption and also leading to toxins production. Nanotechnology, a newer method, has created a significant role in solving specific qualitative and quantitative, environmental issues of treating air, water, and soil by detection and removal of pollutants. Nanoparticles (NP) are low-cost, less energy consuming, eco-friendly and have higher efficiency rates. Nanosorbent, nanofiltration, nanocatalytic, and nanosensors methods have been used for the treatment of waste waters, air, and pollutant detection. There are different physical and chemical treatment options that have been employed for the synthesis of NPs, such as microwave heating and ultrasound methods. However recent decades have emphasized the green synthesis involving plant extracts and microbial sources due to their sustainability. Green synthesized NPs have gained immense interest due to their simplicity and relatively high reproducibility. In view of their capabilities, bionanomaterials can be used for eliminating pollutants and toxins, helping to maintain and spread a greener and cleaner environment. 2025 selection and editorial matter, Shakeel Ahmed; individual chapters, the contributors. -
Role of AI in Strengthening ESG Governance: Perspective From Industry Experts
Socially conscious investors, especially Gen Z, value ethics over money. ESG reports are as important as financial reports for them. ESG ratings from various sources can puzzle these Gen Z investors, as there is no standardization in ESG data. Firstly, the chapter focuses on the need to integrate AI into ESG reporting by highlighting the limitations of mere frameworks such as GRI, SASB, and ISSB. Secondly, it emphasizes the difference between traditional reporting and AI-integrated ESG reporting. It also points out the challenges of AI integration and ways to overcome these challenges. Lastly, the chapter also proposes the need for a unified framework, making it easier for investors to compare and make decisions. 2024, IGI Global. All rights reserved. -
Digital nomads: redefining tourism success or complicating destination challenges
The COVID-19 pandemic hastened the distant work revolution and gave rise to a distinct consumer group called digital nomads. Digital nomads, which include independent contractors, self-employed people, and people who have escaped the confines of the office, have the ability to work from home while travelling both domestically and abroad. However, there are worries that the rise of the digital nomad could worsen already problematic travel issues like overtourism. The purpose of this study is to conceptually analyse the effects of digital nomads on tourist locations by reviewing existing literature and recent reports. Understanding the effects of digital nomadism is essential in a world where popular places battle overtourism. With its main arguments nestled within the critical literature review, the study can be categorized as a viewpoint paper. The study also draws important inspiration from the grey literature because the subject is current. The Editors and Contributors Severally 2024. -
AI-driven decision-making and optimization in modern agriculture sectors
AI-driven decision-making tools have emerged as a novel technology poised to replace traditional agricultural practices. In this chapter, AI's pivotal role in steering the agricultural sector towards sustainability is highlighted, primarily through the utilization of AI techniques such as robotics, deep learning, the internet of things, image processing, and more. This chapter offers insights into the application of AI techniques in various functional areas of agriculture, including weed management, crop management, and soil management. Additionally, it underlines both the challenges and advantages presented by AIdriven applications in agriculture. In conclusion, the potential of AI in agriculture is vast, but it faces various impediments that, when properly identified and addressed, can expand its scope. This chapter serves as a valuable resource for government authorities, policymakers, and scientists seeking to explore the untapped potential of AI's significance in agriculture. 2024, IGI Global. All rights reserved. -
Indigenous tribes and inclusive engagement: An integrated approach for sustainable livelihood into the future
Tourism acts as a stimulant in rural poverty reduction and inclusive socioeco-nomic development. Sustainable tourism can significantly contribute to the economic diversification and local economic development of rural areas with its ability to create jobs and encourage infrastructural development focusing on preserving the environment, culture and indigenous groups. The detrimental effects of tourism on the economy, society and culture have shifted attention to sustainable travel. As a result, terms like 'tribal tourism', 'ecotourism' and 'sustainable tourism' have become popular. Inclusive engagement is a crucial agenda item in future tourism development and a major concern of many international organisations, including the United Nations. This chapter focuses on exploring the tribal communities and their involvement in sustainable tourism initiatives with an overarching focus on the role of the indigenous community and their skill sets in creating sustainable livelihoods through tribal tourism. Apart from creating direct and indirect employment opportunities, 2024 Kottamkunnath Lakshmypriya and Bindi Varghese. All rights reserved. -
Analysis of Online In-Destination Booking Service Processes in the Travel Industry: A Case Study
This article presents a comprehensive analysis of the online in-destination booking service processes within the dynamic landscape of the travel industry. Utilizing a case study approach, the research investigates the various stages involved in providing travel-related services, focusing on the key players. The study employs a quantitative method to assess the information quality, system quality, service quality, customer satisfaction, and purchase intention of online in-destination booking. The research highlights the investigation of the usability of online travel booking systems and identifies the purchase intention of customers towards online travel booking websites. To address the research objectives, the participants are selected using a nonprobability sampling method. The sample size of the study is 225 from in and around Coimbatore. The sampling procedure used is convenience sampling. The sampling is selected based on convenience and accessibility to the residents. The findings reveal that there exists a significant difference in respondents opinions on quality criteria: system quality and service quality. Additionally, the study finds that the loading time of online travel booking websites is positively correlated with quality criteria and features of travel apps. By examining a specific case within the travel sector, this study contributes valuable insights that can inform strategic decision-making for businesses operating in the online in-destination booking space. The results aim to guide industry players in enhancing their operational efficiency, leveraging technology advancements, and aligning their services with evolving customer expectations, ultimately fostering sustainable growth in the competitive travel market. 2024, Bentham Books imprint. -
Cultivating efficiency-harnessing artificial intelligence (AI) for sustainable agriculture supply chains
This chapter intends to investigate and present the possibility of utilizing artificial intelligence to transform the agricultural supply chain. The primary objective is to enhance efficiency, sustainability, and adaptability in response to a shifting climate and expanding global population. The results of this investigation provide significant and valuable knowledge for both new businesses and well-established corporations who have a vested interest in embarking on an intelligent and sustainable digital revolution within the agricultural sector and food supply chains. These findings present insights that can guide these enterprises in their pursuit of transforming their operations using technology to enhance efficiency, productivity, and sustainability. By harnessing the benefits offered by digitization, organizations operating within the agriculture industry will be able to streamline processes, optimize resource allocation, reduce waste, and improve traceability throughout the supply chain network while ultimately securing long-term success. 2024, IGI Global. All rights reserved. -
Higher education institutions as a catalyst for sustainability development
Growing concerns about the planet and society have led to the evolution of the concept of sustainable development. This concept gained popularity when the World Commission on Environment and Development released its report Our Common Future in 1987. In 1975, United Nations Educational, Scientific and Cultural Organization (UNESCO) brought sustainability as the International Environmental Education Program focusing on environmental education. This gave birth to the idea that Higher Educational Institutions (HEIs) can play a significant role in promoting the sustainability agenda. Over the years, this was done by implementing sustainability initiatives on the campus. These initiatives mostly focused on the environment and ignored the social and economic dimensions of sustainability. Given the paucity of adequate knowledge in this field, the chapter aims to explore the challenges in implementing sustainable initiatives and suggest a framework that will guide HEIs to act as a catalyst for sustainability development. 2024, IGI Global. All rights reserved. -
The application of artificial intelligence in education: Opportunities and challenges
The chapter investigates the challenges of implementing AI in education, including ethical and privacy concerns, the impact on teacher and student roles, bias and fairness in AI-based systems, and technical challenges. Furthermore, it discusses AI's potential policy and practice implications in education and outlines future research directions. The chapter concludes by emphasizing the transformative nature of AI in education and its capacity to enhance teaching and learning experiences, improve educational outcomes, and foster equitable access to quality education. 2024, IGI Global. All rights reserved. -
Plant-Derived Nanocellulosic Material: A Promising Technology Application in Environmental Bioremediation
Nanocellulose (NC) polymers derived from plant sources are gaining enormous interest in environmental remediation owing to their low cost and potential for renewable adsorption. Plant-derived nanocellulose is applied in waste water treatment because of its unique features and functionality. The word nanocellulose refers to cellulosic materials having a dimension of nanoscopic scale/or nanoscale. One such nanomaterial is a cellulose-based material with a well-aligned nanocellulose composition indicating its structural hierarchy. Nanocellulose has been recognized as a remarkable natural biomaterial adsorbent which is obtained from renewable sources such as wood, plants, fruit peel, can be found abundantly on earth, and biodegradable and can be easily used in the surface fabrication. Due to its increased surface area, nanocellulose has gained considerable advantage over conventional cellulose fibers. Application of nanocellulosic material in environmental remediation and wastewater treatment has recently emerged as a potential adsorbent generating, and aroused much attention in addressing the environmental issue. Nanocellulose may adsorb a wide range of contaminants, such as heavy metals, dissolved pollutants (organic), dyes, petroleum oil, and unwanted effluents. This review provides focus on the structure, properties, isolation, and adsorbent classes of nanocellulosic materials, as well as their applications in environmental remediation. 2025 by Apple Academic Press, Inc. -
Redefining learning: Harnessing the power of flipped classroom pedagogy
This chapter examined the ever-changing educational environment by utilizing flexible classroom pedagogy as a framework. The authors anticipate thoroughly examining how this novel methodology revolutionizes conventional learning paradigms by focusing on active and individualized learning encounters. This chapter illuminates how instructors can proficiently implement flipped classroom methodologies to augment student engagement, critical thinking, and final learning results by examining foundational principles, exemplary approaches, and case studies. By examining many instructional strategies and technologies, this chapter imparted insightful perspectives on the future of education. 2024, IGI Global. All rights reserved. -
Underlying Opportunities and Challenges of Digitalization in Gig Economy
There has been enormous growth in the gig sector across the world. The term gig refers to the short-term arrangement. For instance, an aspiring musician might celebrate after he obtains a gig contract or a painter may get a gig contract for some particular period of time. Both of them might get paid either a fixed fee or a fee based on the contract given. The gig economy has given rise to freelance workers, part-time workers, project-based workers, independent contractors, and contract workers. The gig economy has occupied a prominent place in the United States. According to the survey conducted by Intuit, nearly 40% of American workers are working as an independent contract worker in the year 2020. By means of the increase in the cost level and large masses seeking for jobs and livelihood, the concept of gig economy has opened doors for earning extra income through the gig work. The concept of digital platforms, greater digitalization, and accessibility to higher technology advancement such as the adoption of Artificial Intelligence is giving a boost to the concept of gig economy. There has been a growth in the acceptance of smartphones and the percentage of digitalization is an aiding factor permitting gig freelancers to offer numerous qualified services over the tech-based platform. Gig employees have the potential of signing any tasks in which they have a specific skill set. For example, a worker specialized in interior beautification on an ad-hoc basis for various customers as an alternative of undertaking a full-time inside designing work at a company. Advanced countries such as the United States were the initial adoption of the gig economy started due to advanced rates of digitalization, economic growth, and increase in the disposable income. All these enabling factors were responsible for foremost growing firms being initiated in the United States. Examples of firms are Uber, Airbnb, and Upwork. Nations such as the United States are presently a frontrunner in the international gig economy. On the contrary, emerging nations like India characterize a countless latent in terms of adoption of the gig economy. The reason behind the boost in gig economy is the growing supply of outworkers and lesser skilled labour force. With further knowledge diffusion and the upgrading in human resources and capital, India will nurture in the worldwide gig economy at a hastening pace. India can follow the United States gig economy by studying its trends and encourage the possible gig responsibilities. There are instances such as Ola and OYO operational in the Indian Economy. 2025 selection and editorial matter Alex Khang, Babasaheb Jadhav, Vugar Abdullayev Hajimahmud and Ipseeta Satpathy; individual chapters, the contributors.