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EXPERIENTIAL TOURISM: Nature-based Tourism Trends in India
The rise of experiential tourism in recent years is seemingly gaining momentum. Tourism providers are marketing immersive travel experiences by engaging visitors with the destinations history, residents, and environment. Experience tourism entails immersing oneself in the essence of the destination in its truest sense. Authenticity involving emotions and values is of great importance for tourism marketing. Experiential travel rejects the idea of the traditional visitor experiences and gets back to the roots of travel. Over the last decade, nature-based tourism has become a widespread phenomenon and contributes more than US$120 billion to global GDP. The recent pandemic has additionally stimulated the demand for spending time and nature. Thus, experiential nature-based tourism could play an important role in the sustainable recovery of global tourism. This chapter discusses Indias critical experiential tourism trends through the marketing perspective and provides innovative marketing solutions for nature-based experiential tourism planning and development. Extensive and comprehensive literature has been used in this study to identify and critically reflect on vital nature-based experiences worldwide and the recent trends in the market. 2023 Taylor and Francis. -
Experimental investigation of tribocorrosion
This chapter discusses various techniques available for evaluation of tribocorrosion behavior of industrial components, their applications, and limitations. Numerous influential factors of tribocorrosion, their mechanisms, and their characteristics have been discussed at length. Further, a case study of tribocorrosion behavior of aluminum-based in situ metal matrix composites have been deliberated comprehensively. 2021 Elsevier Inc. All rights reserved. -
Explorations of the links between multiculturalism and religious diversity
This chapter explores the complex intersections of multiculturalism and religious diversity in educational settings. It examines the religious landscape in the context of education and how religious diversity is addressed in educational policies and procedures. It discusses the role of faith in education, highlighting its importance and potential limitations. Furthermore, it explores the interplay between multiculturalism and religious diversity, identifying potential challenges and opportunities. Strategies for addressing these challenges and leveraging the opportunities are discussed, including intercultural dialogue, curriculum integration, and parent and community engagement. The chapter presents case studies that illustrate the complexities of multiculturalism and religious diversity in educational practices, analyzing their successes and challenges. Lessons learned from these case studies and implications for future practice are discussed, emphasizing the need for policy development, curriculum design, teacher training, and community engagement. 2023 by IGI Global. All rights reserved. -
Exploring AI and ML Strategies for Crop Health Monitoring and Management
This chapter offers a thorough examination of machine learning (ML) and artificial intelligence (AI) approaches designed especially for agricultural crop health monitoring. The story starts with a basic introduction to AI and ML ideas and then covers supervised and unsupervised learning approaches, the fundamentals of reinforcement learning, and the significance of high-quality data preparation in agricultural settings. This chapter explores the use of deep learning architectures and neural networks, explaining how they can be used to simulate human brain activity and how they can be used in picture identification to identify crop diseases. A detailed analysis is conducted of the practical aspects of ML for agriculture, encompassing feature engineering and model assessment methodologies. Additionally, the chapter highlights the ethical issues involved in the proper application of AI/ML models in agricultural contexts. These kinds of applications. In conclusion, the chapter discusses obstacles, offers predictions for future developments, and discusses new lines of inquiry for AI and ML research related to crop health monitoring. Through this thorough research, the chapter seeks to offer insightful information on the transformative potential of AI/ML approaches in supporting efficient and sustainable agriculture practices for improved crop health management. (Publisher name) (publishing year) all right reserved. -
Exploring ARIMA Models with Interacted Lagged Variables for Forecasting
Including interactions among the explanatory variables in regression models is a common phenomenon. However, including interactions existing among lagged variables in autoregressive models has not been explored so far. In this paper, Autoregressive Integrated Moving Average (ARIMA) model with interactions among the lagged variables is proposed for improving forecast accuracy. The methodology for identifying the interacted lagged variables and including them in the ARIMA model is suggested. Using five different data sets of different types, the paper explores the effect of interacted lagged variables in ARIMA model. The experimental results exhibit that when interactions do actually exist, ARIMA model with interactions improves the forecast accuracy as compared to ARIMA model without interactions. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Exploring artificial intelligence techniques for diabetic retinopathy detection: A case study
There is a notable increase in the prevalence of Diabetic Retinopathy (DR) globally. This increase is caused due to type2 diabetes, diabetes mellitus (DM). Among people, diabetes leads to vision loss or Diabetic Retinopathy. Early detection is very much necessary for timely intervention and appropriate treatment on vision loss among diabetic patients. This chapter explores how Artificial Intelligence (AI) methods are helpful in automated detection of diabetic retinopathy. In this chapter deep learning algorithm is proposed that is used to extract important features from retinal images and classify the images to identify the presence of DR. The model is evaluated using various metrics like specificity, sensitivity etc. The results of the case study provide an AI driven solution to existing methods used to identify DR and this can improve the early detection and appropriate treatment at the right time. 2024, IGI Global. All rights reserved. -
Exploring best practices in mobile app design patterns and tools: A user-centered approach
Design patterns are reusable solutions to common design problems that provide a consistent user experience across different apps. This article explores the best practices in mobile app design patterns and tools with a focus on the user-centered approach to design. Design patterns such as navigation bars, tab bars, list views, and card views are discussed, along with design tools such as Sketch, Figma, Adobe XD, and InVision. The problem is to ensure that mobile app design is centered around the needs and preferences of the user, rather than the designer or the technology, and that the right design patterns and tools are used to create interfaces that are familiar and easy to use. The chapter emphasizes the importance of conducting user research to understand the needs and preferences of the target audience and using design patterns and tools to create interfaces that are familiar and easy to use. Mobile apps have become an integral part of our lives, and designing a successful mobile app is a challenging task that requires a thorough understanding of user needs and preferences. 2023, IGI Global. All rights reserved. -
Exploring challenges in online higher education for AI integration using MICMAC analysis
The consequence of Covid-19 has affected the traditional higher education system. Acknowledging the significant role of online education in national development for accessibility and quality education, countries around the world have understood its importance in current digital era. Indian policymakers have been giving due importance to enhancing the education quality, however the progress made by the country in higher education is not adequate. Amidst all the inadequacies of traditional education system, artificial intelligence (AI) technologies are bringing new ray of hope to democratize education system. This chapter is subjected to identify the challenges in online education and suggest specific ways to address each of them. The challenges are categorized into internal and external challenges/barriers. These challenges have been modeled with the expertise of educationalist's opinions and interpretive structural modeling to create a hierarchy of the barriers using MICMAC analysis and categorize these barriers into four clusters. 2024, IGI Global. All rights reserved. -
Exploring digital twins: Attributes, challenges and risks
The recent approach to digitalization and digital transformation is based on the focus of every industry to develop systems and practices for optimizing the operational phase of the product lifecycle and beyond. Digital twins have become the buzzword in the domain of digital transformation. These Digital twins, which are a virtual representation of real-world occurrences such as processes, services, or products offer a new perspective to digitalization. It has emerged from Industry 4.0 and involves a mapping of the real physical world and the virtual world through Digital Twinning. Artificial Intelligence, Cryptography, Blockchain, Big Data technologies, and IoT act as technology enablers for Digital Twins. The capability of Digital Twin is its ability to cater to diverse applications. Within a decade, it has penetrated deeply into every functional aspect of business right from Patient Health Information Systems to remote control and maintenance of satellites/ space stations and to agriculture. This chapter has a focus on the key attributes, challenges, and risk factors that pertain to digital twin technologies and provides adequate examples from diverse sectors. The key challenges of digital twin technologies include Modeling the unknown, Transparency, Interpretability, Interactions with physical assets, Large-scale computation, Physical realism, Future projections, Data management, Privacy, Security and Quality. The four facets of risks related to Digital Twins include restrictions in access to system resources, theft of intellectual property, lack of compliance, and integrity issues in data/information. Hence, additional efforts and a holistic approach towards privacy and security are required to manage these risks. The holistic approach should cover hardware, software, and firmware together with the information that passes between them. Further, it is required to ensure that system, assets and data are adequately protected. Digital Twin technologies provide enormous competitive advantage for an organization, and a more pragmatic approach for mitigation of risks associated with digital twins is required. This would involve co-creation of Digital Twins with clients along with combined extensive knowledge of physical assets, disruptive technologies and appropriate security measures. 2023 Nova Science Publishers, Inc. All rights reserved. -
Exploring motivations, impact, and coping mechanisms of post-dating on female dating app users
Online dating apps are a popular platform for forming new connections. Generally, a virtual acquaintance intensifies between the users, eventually converting it into an offline relationship. Despite the anonymity of users being a prime motivation to initiate a conversation, it does pose challenges, including mental health issues and sexual abuse. There are increasing reports of privacy violations, extortions, cyberstalking, and sexual assaults connected with dating apps. While people in a relationship decide to set boundaries to avoid each other, both users go through an uncomfortable phase. Unless both parties mutually share the responsibility, the relationship issues are not sorted out without going through an abusive phase. One person's separation anxiety might become a physical manifestation, including virtual and physical assaults. The current study relies on focus group discussions to understand postdating app manifestations and its impact on female dating app users. The study involves respondents mostly exposed to online dating. 2023, IGI Global. All rights reserved. -
Exploring social networking data sets
A network is a collection of objects/devices that are linked to one another through wired and wireless communication. Networks are everywhere, and they are formed to share resources among users. Nodes and edges form a network structure. Nodes describe the objects, whereas edges represent the connections between them. Network analysis is advantageous in a wide variety of live application activities. It enables us to get a thorough knowledge of the structure of a connection in social networks, the structure or process of development in environmental events, and even the study of organisms' biological systems. Additionally, network analysis allows the estimation of complex network patterns, and the network structure may be examined to disclose the network's basic features. If anyone examines a social connection among Facebook users, for example, the nodes indicate the target people and the edges reflect the connections between users, such as friendships or group memberships. The objective of this chapter is to describe and visualize social network analysis (SNA) using Python and NetworkX, a Python framework for analyzing the structure, dynamics, and functions of complex networks. 2022 Scrivener Publishing LLC. All rights reserved. -
Exploring student perspectives on service learning: Their expectations, challenges, and perceived benef
Many students foresee that a service-learning course would help them to participate in the development of the community, addressing its real concerns. On the other hand, students anticipate individual growth in terms of personal, interpersonal, and societal skills. However, service-learning also throws up some concerns and challenges. Thus, it is very important for educational institutions to understand the challenges in the planning and execution phase and reap a positive impact from the service-learning course. A qualitative research technique is adopted and the responses are grouped into themes for better evaluation of the factors. The current research surveyed 290 respondents to understand students' expectations and benefits from service learning. It throws light on the challenges that need attention to harness its benefits. Addressing these issues and expectations would enhance students' engagement and elevate the benefits for all the stakeholders. 2024, IGI Global. All rights reserved. -
Exploring the dynamics of financial behaviors in romantic partnerships
Financial well-being is a multifaceted concept that is influenced by various factors, including individual and relational dynamics. While households are indeed vital to understanding economic dynamics, they often do not provide sufficient insight into the complex decision-making processes of romantic partners. In light of this, the chapter places its focus squarely on romantic partners as the primary unit of analysis within households, considering romantic partners to be the building blocks of the households. This chapter seeks to address a critical aspect of financial well-being by focusing on the complex dynamics of financial behaviors within romantic partnerships. By delving into the unique challenges and opportunities faced by couples in managing their finances, this chapter strives to bridge the gap by summing the current state of our knowledge proposes a comprehensive conceptual model to elucidate the factors affecting financial behaviors and, consequently, financial well-being among romantic partners. 2024, IGI Global. All rights reserved. -
Exploring the ethical issues and considerations in neuromarketing
Neuromarketing is an interdisciplinary field consolidating neuroscience, psychology, and marketing, aiming to understand consumer behaviour at the subconscious level. However, as neuromarketing techniques become increasingly sophisticated, ethical issues and considerations have emerged as a focal point of debate and scrutiny. The paper critically evaluates foundational ethical principles, such as informed consent, beneficence and nonmaleficence, privacy and confidentiality, transparency, scientific or methodological rigor, predicting and influencing consumer choices, safeguarding the vulnerable population, and commitment to abiding and respecting the guidelines and codes of ethics. It also includes the emerging techniques and research, need for ethics and terms like neuroethics and brain privacy. 2024, IGI Global. All rights reserved. -
Exploring the facets of chatbots and automation in tourism with special reference to ChatGPT
This chapter examines the role of chatbots, specifically ChatGPT, in the tourism industry, focusing on their influence on employment opportunities and job roles. It evaluates both the positive and negative impacts of chatbots on various aspects of tourism job roles, emphasizing their potential to enhance efficiency and customer satisfaction while acknowledging concerns regarding job displacement and diminished human interaction. Additionally, the study explores the benefits and drawbacks of automation in the tourism sector, highlighting its potential to streamline operations and improve productivity while also addressing challenges such as technical issues and the need for workforce upskilling. Furthermore, the chapter discusses strategies for upskilling the tourist workforce to effectively navigate the increasing automation in the industry and mitigate potential job losses. Lastly, the ethical implications of using ChatGPT in the tourism sector are examined, emphasizing the importance of responsible implementation to ensure fairness and human-centric values in tourism experiences. 2024, IGI Global. All rights reserved. -
Exploring the Impact of Behavioral Biases on Young Investors Portfolio Performance: An Examination through the Lens of Nudging Green: Behavioral Economics for Environmental Sustainability
PurposeThis research paper delves into identification of interaction and relationship among numerous factors like investors behavior, psychological factors of investors, specific biases, financial knowledge and literacy, and portfolio value of young investors. Through this research paper we can conclude that investors are increasingly affected by the biases that exist. These biases act as a hindrance in their process of decision making. Design/methodology/approachIn this research paper a survey was conducted and the poll consisted of various questions. In this research paper, a convenience sampling technique was used and responses from 295 investors were collected for analysis of the data. In this paper we have used descriptive analysis and regression correlation for the purpose of analysis which ultimately unfolds the relationship between biases and investors portfolios. FindingsThis paper unfolds the various behavioral factors and other factors that shape the investment portfolio of youth. The paper dwells into the intricate study of behavioral factors that affect youth and determines their investment pattern. Research limitation/implicationsLimited samples have been collected for this paper and that is the limitation of this paper. As the sample size is limited there is a high probability that with a larger group of investors, the behaviour pattern and biases may differ. As most of the investors are young their knowledge about trading market and investment market is quite limited which ultimately generates hindrances in analysis. Maximum number of investors are quite young which increases the probability of biases in the decision making process. Practical implicationsThis paper will help scholars, analysts, academicians, practitioners, policymakers, brokers, and investors to frame better strategies in order to deal with behavioural biases and other behavioural factors. In order to not get influenced with behavioral biases and other behavioral factors, young people can plan out their investments in a better way. The youth of our country can have greater understanding regarding investments if they are given enough wisdom regarding the same through workshops, webinars, seminars, lectures, curriculum. Originality/valueIn this paper investors behavior, psychological factors, specific biases, financial knowledge and literacy are factors that influence the investment portfolio of young investors. Young investors can keep these factors in mind in order to increase their portfolios value which will ultimately lead to better investment decisions among them. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Exploring the Impact of Disengagement on the Burnout Among ICU Nurses of Indian Private Hospitals: The Influence of Perceived Organization Support
Among healthcare workers, the nursing workforce has a high intensity of burnout which occurs as a response to the pressure they face at their workplace. Burnout in nursing professionalsis a widespread phenomenon characterized by a reduction in nurses energy that manifests in emotional exhaustion, lack of encouragement, and feelings of frustration and may lead to a decrease in work efficacy. This is a significant issue in human services that needs to be addressed.Several studies have been done on nurses; however, burnout in Indian ICU nurses has not received much attention. Intensive Care Units are specialized hospital areas requiring constant attention and vigorous patient care. Studies state that ICU nurses have to be more alert due to the severity of the illness in patients. Nurses in ICUs face many challenges at work which could lead to burnout. Disengagement is one such factor that might lead to burnout in nurses. When people experience disengagement, they feel detached from their workplace. Previous studies indicate that due to pandemic experiences, nurses are disengaging at a rate twice that of other healthcare staff. The challenging demands of their work have significantly affected the nurse's psychological wellness and overall health. Limited studies have been done on ICU nurse disengagement and its effect on burnout in Indian settings. Therefore, the study aims to examine how nurse disengagement affects the burnout they experience. Healthcare organizations must prioritize the support to be extended and care for the nurses well-being to prevent further disengagement. Nurses may become more committed to the organization when they feel supported by hospital administrators and have lighter workloads. This paper focuses on exploring the consequences of disengagement on burnout experienced by ICU nurses and the influence of Perceived Organizational Support (POS) between them. The sample used for the study was 449 nurses working in the ICU divisions of private hospitals in India. This study employed a simple random sampling technique. A survey was utilized and distributed to the nursing professionals working in the ICU divisions. The commonly recognized aspects of burnout are emotional exhaustion, depersonalization, and reduced personal achievement. The study results indicated that disengagement has no impact on the emotional exhaustion experienced by ICU nurses. However, it influences depersonalization and nurses achievement. The study results state that POS moderated the relationship between disengagement and the two burnout aspects: depersonalization and personal achievement. From the findings, it may be concluded that perceived organizational support is crucial in encouraging greater personal accomplishment, reduced depersonalization, and bringing about positive change for disengaged ICU nurses. Better organizational support for ICU nurses becomes a critical responsibility of nursing administration. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Exploring the Impact of Latent and Obscure Factors on Left-Censored Data: Bayesian Approaches and Case Study
In the realm of scientific investigation, traditional survival studies have historically focused on mitigating failures over time. However, when both observed and unobserved variables remain enigmatic, adverse consequences can arise. Frailty models offer a promising approach to understanding the effects of these latent factors. In this scholarly work, we hypothesize that frailty has a lasting impact on the reversed hazard rate. Notably, our research highlights the reliability of generalized Lindley frailty models, rooted in the generalized log-logistic type II distribution, as a robust framework for capturing the widespread influence of inherent variability. To estimate the associated parameters, we employ diverse loss functions such as SELF, MQSELF, and PLF within a Bayesian framework, forming the foundation for Markov Chain Monte Carlo methodology. We subsequently utilize Bayesian assessment strategies to assess the effectiveness of our proposed models. To illustrate their superiority, we employ data from renowned Australian twins as a demonstrative case study, establishing the innovative models advantages over those relying on inverse Gaussian and gamma frailty distributions. This study delves into the impact of hidden and obscure factors on left-censored data, utilizing Bayesian methodologies, with a specific emphasis on the application of generalized Lindley frailty models. Our findings contribute to a deeper understanding of survival analysis, particularly when dealing with complex and unobservable covariates. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Exploring the impact of psychological biases on financial investment decisions and the role of digital financial literacy
This chapter explores biases impacting stock and mutual fund investments-cognitive, affective, and behavioral. It examines digital financial literacy (DFL), highlighting social media's role in information sharing. Stressing the merging financial and digital literacies, it addresses risks in online financial behavior. Discussions cover DFL measures, online activities' correlation, and biases in decision-making. Recognizing uncertainty in the digital era is crucial for informed financial decisions amidst evolving landscapes. 2024, IGI Global. All rights reserved.