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Evolving Dynamics of Contactless Technology in Hospitality: Insights From Recent Research and Future Implications
The hospitality sector has been forced by the COVID-19 pandemic to go contactless to protect safety, efficiency, and customer satisfaction. Innovations like mobile check-ins, smart room controls, and touchless payments have brought new services to the market that are customer-friendly and still safe to use. These technologies provide a double advantage by either enhancing guests experience or efficiency for the staff. On the other hand, such factors as the high costs, problems of system integration, and fears of depersonalization are still raising the worries of the hoteliers. It is therefore very important to balance the degree of technology} The concept of Hospitality 5.0 aims at the fusion of both the traditional and the modern elements to create secure yet personalized experiences. The main strategies for achieving the requirement include trust-building, technology simplification, and gamification to promote guest engagement. By taking such approaches, the hospitality industry will be able to redefine and be still competitive and client-oriented. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development. -
Eco-friendly innovations in food packaging: A sustainable revolution
Packaging is crucial in ensuring the quality and safety of food, protecting it from various contaminants, and extending its shelf life. Materials used for packaging food must be economical, durable, and possess good barrier properties. One of the major challenges faced by the food industry is developing an eco-friendly, economical, and sustainable packaging system. The conventional materials, which majorly depend on petroleum-derived polymers, are associated with several significant problems, such as environmental pollution, depletion of resources, generation of single-use wastes, leakage of chemicals into food products, limited recycling, and so on. As the food sector focuses on reducing its environmental impact, by encouraging revolutionary changes for an effective sustainable food packaging approach. The core objective of industrial packaging was to innovate a biodegradable material, especially derived from renewable biomass resources as eco-friendly alternatives in the food industry. One of the significant trends involves production of bioplastics, which are derived from renewable polymers such as corn starch, sugarcane, or algae. These materials offer a viable alternative to traditional petroleum-based plastics, as they are often compostable or biodegradable. The development of advanced bioplastics with improved barrier properties and durability is gaining traction, addressing environmental and health concerns and functionalizing a packaging material. The present review discusses the limitations of conventional packaging materials used in the food industry and focuses on the various polymers derived from natural sources, their physio-chemical properties, and their potential application as a sustainable material that reduce carbon emission, and enhance preservation of food and ensure food safety. 2024 Elsevier B.V. -
Minimizing the waste management effort by using machine learning applications
Waste management is a process of collecting, transporting, disposing, and monitoring waste materials generated by human activities. It is an essential part of maintaining public health, hygiene, and environmental sustainability. Waste management systems can be designed to handle different types of waste, such as household waste, industrial waste, hazardous waste, and medical waste. The increasing amount of waste has become a major issue for the development of sustainable communities. Machine learning can help solve this problem by allowing scientists to analyze and reduce waste. This chapter aims to provide a comprehensive overview of the various aspects of waste management using machine learning. The chapter covers the various aspects of waste disposal, generation, transportation, and collection. It also explores machine learning's potential in this area, such as data analysis and prediction. It additionally compiles case studies about how machine learning has been utilized in this field. 2024, IGI Global. -
A comparative study on decision tree and random forest using konstanz information miner (KNIME)
With vast amounts of data floating around everywhere, it is imperative to comprehend and draw meaningful insights from the same. With the proliferation of Internet and Information Technology, data has been increasing exponentially. The 5 Vs of data i.e. Value, volume, Velocity, variety and veracity will only make sense if we are able to examine the data and uncover the hidden, yet meaningful insights. With large data becoming a norm, a lot of data mining algorithms are available that help in data mining. We have tried to compare two classification algorithms, primarily Decision trees and Random forest. A total of 10 datasets have been taken from UCI Repository and Kaggle and with the help of Konstanz Information Miner (KNIME) workflows, a comparative performance has been made pertaining to the accuracy statistics of Random Forest and decision Tree. The results show that Random Forest gives better and accurate results for a dataset as compared to decision trees. 2020 SERSC. -
A First Report of Docosahexaenoic Acid-Clocked Polymer Enveloped Gold Nanoparticles: A Way to Precision Breast Cancer and Triple Negative Breast Cancer Therapy and Its Apoptosis Induction
Functionalized gold nanoparticles (GNPs) are extensively utilized in various disciplines due to their excellent bioactivity, biocompatibility, and extended drug half-life, influenced by the ligands and size that are changed on surfaces. In this study, we successfully fabricated GNPs coated with ligands containing docosahexaenoic acid (DHA) and polyethylene glycol (PEG) clocked by a carboxyl group. These nanoparticles are referred to as MPA@GNPs-PEG-DHA. The cytotoxicity results demonstrate that MPA@GNPs-PEG-DHA exhibits superior cell selectivity, explicitly inhibiting the proliferation of breast cancerous cells than noncancerous cell lines. Apoptosis is involved in the reduction of cell proliferation by MPA@GNPs-PEG-DHA, as demonstrated clearly through many assays measuring apoptotic index, including AO/EB staining, DAPI, annexin V-FITC staining, mitochondrial membrane potential (MMP), and reactive oxygen species (ROS) measurement. The efficacy of MPA@GNPs-PEG-DHA in inducing apoptosis was demonstrated by its inhibition of mitochondrial dysfunction by ROS. MPA@GNPs-PEG-DHA has the potential to improve the induction of apoptosis in breast cancerous cells. 2024 Wiley Periodicals LLC. -
Creating inclusive spaces in virtual classroom sessions during the COVID pandemic: An exploratory study of primary class teachers in India
The research paper reports insights into the primary class teachers experiences and inclusive methodologies in India during virtual class sessions. Teaching online during the COVID pandemic has turned out to be an adaptive and transformative challenge for teachers. Though Indian teachers are used to the chalk-and-talk method, an online setup has compelled them to discover innovative strategies to maintain an inclusive classroom. It was found that teachers are using puppetry, storytelling, energizers, ice-breakers in their sessions to make it engaging. An in-depth study was undertaken to understand the experiences of five primary class teachers from private schools in India. Data thus collected were analyzed qualitatively. The study results demonstrated that the teachers had improved professionally they have become independent in using the internet and exploring new ways of teaching them per their needs. Nevertheless, it was also found that the schools lack support, fear among the teachers of being asked to quit the job, blocking students from the online class if they fail to pay the fees, and exorbitant salary cuts. The challenges related to young students were - lack of proper resources for online sessions, low attention span, technical distractions, lack of physical development, excessive interference of the parents and lack of socialization. The paper concludes with policy proposals regarding standardized online education platforms and provisions for proper resources for virtual class sessions to marginalized families to minimize India's digital divide. 2021 -
Voicing Out Parental Experiences of Schooling Their Children with Learning Disabilities: A Qualitative Study of Inclusive Government Schools of India
The paper shone light on the lived experiences of parents of children with learning disabilities. The specific objective was to understand the challenges, experiences and aspirations of parents for their children. A phenomenological study was adopted for the study so as to focus on the experiences of the parents. Participants were parents (female- 17 and male- 3) of children in primary classes, who were identified through purposive sampling from government schools of Delhi, NCR from 3 underdeveloped areas of Delhi - Nangloi, Mangolpuri and Ranhaula. The data was collected by semi-structured interviews and later thematically analyzed. The findings were on the basis of the past and present experiences and further their future aspirations for the children. They revealed that the parents faced challenges with applying and issuance of the UDID certificates, but with the collaborative efforts of the special educator and the parents along with various support systems that are provided by the school their experiences became positive. It was also brought to light that the mother was the main caregiver in most of the cases. All the parents were worried, what will happen to their children if they are not there with them. They aspired that the students will be financially independent and have a safe future ahead of them. They dream of a society where all the students are equal in an inclusive environment. The Author(s) 2025. -
We wear multiple hats: Exploratory study of role of special education teachers of public schools in India
The role of special education teachers (SETs) is multifaceted. A gap was recognised in the literature in the lack of studies on the roles and responsibilities of SETs in India and the field realities of carrying out the role. The aim was to explore to what extent the special education teachers fulfil their roles and responsibilities. The following is an exploratory study, using open-ended questions that interviewed 12 SETs from five public schools in Delhi, India. The policy documents shared that the SETs were responsible for direct instruction to special needs students, parentteacher collaboration and documentation, including IEPs for students with special needs. But in practice, there were not any clear-cut boundaries, the SETs played multiple rolesSubject teacher, taking substitution periods, para teachers, these were keeping the SETs away from their core responsibilities. The results of the study demonstrated an undervaluation of the work of SETs and lack of support from the principal and regular teachers. The results concluded with recommendations for policy proposal with regards to defining the role of all stakeholders in an inclusive education school and improvements for the teacher education program. 2024 National Association for Special Educational Needs. -
Household waste management policy and practices in bengaluru
Households play a very important role in waste management policy development and its implementation in any city. This study is done among households of 12 wards in Urban Bengaluru(India). It is observed that waste management is open of the most important issue among households and households in general are not satisfied by waste collection, segregation its transport service and maintenance of public places, provided by local municipal body. Garrett's ranking method is also used to give ranking for various waste management practices adopted by various wards. The results suggest that problems faced by households across the city is not same, also perception towards the policy and practices of local bodies towards waste management differs significantly across the city. Cleanliness of public places and waste collection process should be given highest priority by the policy makers. The study also determines a different perspective towards understanding behaviour of household. the policymakers may use this technique to identify specific geographic areas where immediate action is required. BEIESP. -
Successful footprints of ChatGPT deployments in the education sector: Pros outweigh cons by embracing ethics and etiquette
Artificial intelligence (AI) is essential in all aspects of life. One crucial area to examine is the integration of artificial intelligence in education. The true essence is in providing individuals with the necessary knowledge, skills, and values needed to have a fulfilling and meaningful life. Education must adapt to equip students with essential abilities to navigate life's challenges while upholding integrity in a dynamic world. Artificial intelligence (AI), shown by technologies such as ChatGPT, exhibits significant promise in educational environments. This chapter explores personalized learning enabled by artificial intelligence (AI). Furthermore, intelligent tutoring systems are also analyzed. The text delves into various facets of the educational system where ChatGPT might offer help. Additionally, offering explanations for the prohibition of Chat GPT in many countries and educational institutions. The discussion has focused on how AI affects the socio-economic gap in the education sector. 2024, IGI Global. All rights reserved. -
Predictors of online buying behaviour
This study creates a framework by looking into various research on customer acceptance of new selfservice technologies and internet purchasing behaviour systems. According to this research, customers' attitudes towards online purchasing are initially influenced by the direct impacts of relevant characteristics of online shopping. These characteristics include functional, utilitarian characteristics and usefulness, emotional and hedonic characteristics. It looks at the technology acceptance theory (TAM) established by David in 1989 and the theory of reasoned action (TRA) to understand factors determining the attitudes of users towards online shopping for users using technology. It also provides conceptual models by using the brand image of the online platform, past experiences of buyers, information related to the product, convenience of the shoppers and trust of the customers towards online shopping. 2024, IGI Global. All rights reserved. -
Implementation of Supervised Pre-Training Methods for Univariate Time Series Forecasting
There has been a recent deep learning revolution in Computer Vision and Natural Language Processing. One of the biggest reasons for this has been the availability of large-scale datasets to pre-train on. One can argue that the Time Series domain has been left out of the aforementioned revolution. The lack of large scale pretrained models could be one of the reasons for this.While there have been prior experiments using pre-trained models for time series forecasting, the scale of the dataset has been relatively small. One of the few time series problems with large scale data available for pre-training is the financial domain. Therefore, this paper takes advantage of this and pretrains a ID CNN using a dataset of 728 US Stock Daily Closing Price Data in total, 2,533,901 rows. Then, we fine-tune and evaluate a dataset of the NIFTY 200 stocks' Closing Prices, in total 166,379 rows. Our results show a 32% improvement in RMSE and a 36% improvement in convergence speed when compared to a baseline non pre trained model. 2023 IEEE. -
OCCUPATIONAL AND DIVERSITY INTELLIGENCE: UNLOCKING TALENT IN THE DIGITAL ERA
innovations, and their implications for talent management and organizational success. Design/methodology/approach: This chapter guides the shaping of future research agendas by converting qualitative analysis into empirical and quantitative analysis, laying the foundation for integrating the concepts of OQ and DQ within the proposed conceptual framework to retain talent in the digital era. The current chapter follows a narrative review approach to synthesize the existing literature. Findings: The current chapter highlights the role of OQ and DQ in the digital era, as well as their key elements, which will empower various stakeholders with actionable insights. It offers valuable insights as a benchmark for strategic decision-making for meaningful work that would result in effective organizational development (ODV). Introduction: In todays workplace culture, organizations, and HR professionals have a strong case for embracing diversity and inclusion (D&I) to enhance talent management. Occupational intelligence (OQ), when linked with diversity intelligence (DQ), can pave the way for effective individual development and organizational success. When integrated with the expanding use of artificial intelligence (AI), the synergy between these two carries the potential for creating future-ready workplaces. Purpose: Several studies highlight the role of emotional, social, cultural, and workplace intelligence and their impact on occupational success. There has been a conspicuous absence of studies that unravel the evolution of OQ and the future scope of integration with DQ in the digitalized world, which needs attention. Scope: The study would deepen the understanding of the evolving landscape of OQ and DQ, as well as industry trends and Individual chapters 2026 The authors. -
A First Report of Docosahexaenoic Acid-Clocked Polymer Enveloped Gold Nanoparticles: A Way to Precision Breast Cancer and Triple Negative Breast Cancer Therapy and Its Apoptosis Induction
Functionalized gold nanoparticles (GNPs) are extensively utilized in various disciplines due to their excellent bioactivity, biocompatibility, and extended drug half-life, influenced by the ligands and size that are changed on surfaces. In this study, we successfully fabricated GNPs coated with ligands containing docosahexaenoic acid (DHA) and polyethylene glycol (PEG) clocked by a carboxyl group. These nanoparticles are referred to as MPA@GNPs-PEG-DHA. The cytotoxicity results demonstrate that MPA@GNPs-PEG-DHA exhibits superior cell selectivity, explicitly inhibiting the proliferation of breast cancerous cells than noncancerous cell lines. Apoptosis is involved in the reduction of cell proliferation by MPA@GNPs-PEG-DHA, as demonstrated clearly through many assays measuring apoptotic index, including AO/EB staining, DAPI, annexin V-FITC staining, mitochondrial membrane potential (MMP), and reactive oxygen species (ROS) measurement. The efficacy of MPA@GNPs-PEG-DHA in inducing apoptosis was demonstrated by its inhibition of mitochondrial dysfunction by ROS. MPA@GNPs-PEG-DHA has the potential to improve the induction of apoptosis in breast cancerous cells. 2024 Wiley Periodicals LLC. -
We wear multiple hats: Exploratory study of role of special education teachers of public schools in India
The role of special education teachers (SETs) is multifaceted. A gap was recognised in the literature in the lack of studies on the roles and responsibilities of SETs in India and the field realities of carrying out the role. The aim was to explore to what extent the special education teachers fulfil their roles and responsibilities. The following is an exploratory study, using open-ended questions that interviewed 12 SETs from five public schools in Delhi, India. The policy documents shared that the SETs were responsible for direct instruction to special needs students, parentteacher collaboration and documentation, including IEPs for students with special needs. But in practice, there were not any clear-cut boundaries, the SETs played multiple rolesSubject teacher, taking substitution periods, para teachers, these were keeping the SETs away from their core responsibilities. The results of the study demonstrated an undervaluation of the work of SETs and lack of support from the principal and regular teachers. The results concluded with recommendations for policy proposal with regards to defining the role of all stakeholders in an inclusive education school and improvements for the teacher education program. 2024 National Association for Special Educational Needs. -
Voicing Out Parental Experiences of Schooling Their Children with Learning Disabilities: A Qualitative Study of Inclusive Government Schools of India
The paper shone light on the lived experiences of parents of children with learning disabilities. The specific objective was to understand the challenges, experiences and aspirations of parents for their children. A phenomenological study was adopted for the study so as to focus on the experiences of the parents. Participants were parents (female- 17 and male- 3) of children in primary classes, who were identified through purposive sampling from government schools of Delhi, NCR from 3 underdeveloped areas of Delhi - Nangloi, Mangolpuri and Ranhaula. The data was collected by semi-structured interviews and later thematically analyzed. The findings were on the basis of the past and present experiences and further their future aspirations for the children. They revealed that the parents faced challenges with applying and issuance of the UDID certificates, but with the collaborative efforts of the special educator and the parents along with various support systems that are provided by the school their experiences became positive. It was also brought to light that the mother was the main caregiver in most of the cases. All the parents were worried, what will happen to their children if they are not there with them. They aspired that the students will be financially independent and have a safe future ahead of them. They dream of a society where all the students are equal in an inclusive environment. The Author(s) 2025. -
The Capital structure puzzle
International Journal of Research in Commerce & Management Vol.4, No.03, pp.134-136 ISSN No. 0976-2183 -
Implication of big data in hospitality with special reference to ecoresorts in Karnataka
Big data with its velocity has revolutionized several industries, and the hospitality industry is no exception. Operational efficiency and services of ecoresorts can always be improved with customer reviews, and big data provide unprecedented opportunities toimplement it. Socialmedia has alwaysbeen instrumental in capturing customer feedback and understanding booking patterns. On this note, it has been aimed to understand the visitors' sentiment and to identify satisfactory indicators for this business. In this scholarly work, Tripadvisor website has been adopted as the collection platform. A total of 15 resorts with 7,235 reviews have been considered for the same. It has been intended to capture up-to-date data available till April 2024. The five-stage model has been considered for the smooth execution of the analysis which includesweb scraping for data extraction, data pre-processing, data storage, sentiment analysis, and understanding key insights. More specifically, with the help of Natural Language Processing (NLP), text analytics was executed to understand customers' sentiments. In total,150 high-frequencywords have been captured.The outcome of the study also revealed nine satisfactory indicators and those are "Variety of Experiences"; "Quality of Accommodation"; "Quality of Food"; "Cleanliness of the Resort"; "Level of Service by Staff"; "Service Staff were Helpful"; "Natural Environment of the Resort"; "Safety and Security;" and "Good Opportunities to enjoy local Cuisine". 2025 Shivi Khanna, Tulasi B., Nagarjuna G. and Bidisha Sarkar. All rights reserved. -
Context Driven Software Development
The Context-Driven Software Development (CDSD) is a novel software development approach with an ability to thrive upon challenges of 21st century digital and disruptive technologies by using its innovative practices and implementation prowess. CDSD is a coherent set of multidisciplinary innovative and best practices like context-aware and self-adaptive system modelling, human-computer interaction, quality engineering, software development-testing-and continuous deployment frameworks, open-source tools-technology-and end-to-end automation, software governance, engaging stakeholders, adaptive solutioning, design thinking, and group creativity. Implementation prowess of CDSD approach stems from its three unique characteristics, namely, its principles, Contextualize-Build-Validate-Evolve (CBVE) product development element, and iterative and lean CDSD life cycle with Profiling, Contextualizing, Modelling, Transforming, and Deploying phases with in-process and phase-end Governance and Compliances. CDSD approach helps to address issues like complexity, software ageing, risks related to internal and external ecosystem, user diversity, and process-related issues including cost, documentation, and delay. 2021, Springer Nature Switzerland AG.