Browse Items (1422 total)
Sort by:
-
Constructing an e-commerce model using the framework of blockchain
Blockchain technology is gaining immense popularity in the realm of online e-commerce, advertising, and consumerism. This study aims to develop a model that comprehends how blockchain can act as a significant disruptor for various functions and applications related to e-commerce. The research explores the possibility that this technological advancement has the potential to revolutionize the core operations of e-commerce industry by providing trade connections devoid of trust or need for specialized intermediaries or central authority in case of permission less blockchains. Furthermore, it could facilitate equitable access to immutable data across supply chains which may result in a major reorganization pertaining to information and value exchanged between businesses involved in electronic commerce and their customers. 2024, IGI Global. All rights reserved. -
Securing end user computing environments using blockchain
COVID-19's phenomenal effect has expedited the adoption of digital technologies over several years, indicating that several of these breakthroughs are here to stay. Several enabling technologies are currently being implemented as major solutions for improving and responding to the pandemic's numerous issues, with blockchain being one of the preferred solution options. Blockchain can be used to re-structure processes, resulting in most effective operational and business models (e.g., democratising quality cancer detection with advanced artificial intelligence based radiomics technologies). The authors posit here that while there is a lot of anticipation about using blockchain to improve business capabilities, the lessons learned from the many pilots and proofs of concept so far should be considered. The necessity for a structured, formal decision-making process, based on good business logic and an awareness of the problem's process lifecycle, is however critical. Blockchain is a means to an end, not an end in and of itself. 2024, IGI Global. All rights reserved. -
Why haven't you bought a solar panel? Consumerism at its "Green" best with the Myers-Briggs type indicator
This research study examined the relationships between Myers-Briggs' four personality dimensions and environmentally conscious consumption patterns. The study found that different personality types have different green purchase habits. The authors also propose five strategies for businesses who plan to venture into sustainable consumption. These strategies include leveraging the power of belongingness, forming addictive healthy habits, capitalizing on the domino effect, communicating with either the heart or the head, and prioritizing having experiences above owning things. The study's findings suggest that businesses need to take a more holistic approach to promoting sustainable consumption. Authors use discriminant analysis to evaluate whether each Myers-Briggs personality type had a distinct green purchase habit. For each of the four dichotomies associated with five kinds of green buying behaviors, SPSS was used to construct discriminant analysis indicators and outputs. 2023, IGI Global. All rights reserved. -
Mind of a portfolio investor: Which strategies should I use as a basis for my investment decisions
It is smart for investors to plan for a drop that may be accompanied by a recession in the late stages of a bull market. The authors examine a variety of passive and active strategies, as well as their success in different crises. However, while choosing the best of strategies in the worst of circumstances, investors must be cautious in defining 'best.' It's critical to comprehend not only the long-term performance but also the whole cost of putting various preventive measures in place. The authors analyse popular strategies like technical analysis, fundamental analysis, relying on financial news, seeking professional advice, tips from trade experts, and self-intuition while making portfolios. Our findings indicate that every investment is unique. Some defensive methods will be more effective than others in each case. As a result, diversification across several viable strategies may be the wisest course of action. 2023, IGI Global. All rights reserved. -
Are you the one to stick around despite the high rate of attrition? Typical personality traits using Myers-Briggs framewor
Most employees say they have unfavourable sentiments about their organization, yet they often seem hesitant to follow through with their decision to leave. This presents a painful dichotomy for organizations that look for long term manpower solutions. This study examined the relationships between the Myers-Briggs' four personality dimensions (extraversion/introversion, sensing/intuition, thinking/feeling, and judging/perceiving) and the behaviour of employees to stick around with the organization for years even amidst a high attrition rate. After compiling all these observations, the authors propose the following five strategies for employers to take into consideration: Leveraging the power of belongingness, form addictive positive work environment, capitalise on the spillover effect, communicate with either the heart or the head, andprioritise having experiences above an employee status. This research will offer an introspection to both employees and the employers. 2023, IGI Global. All rights reserved. -
Taming the HiPPO (Highest Paid Person's Opinion) with agile metrics and value management
If the organisation's ecosystem has an excess of HiPPOs, data, measured analytics, and other realtime information that minimises uncertainty can help them mitigate the consequences. They disregard the wisdom of the crowd, overlook the front-line staff's abilities, and risk disengaging the workforce. This research advocates agile metrics and value management to tame the HiPPO. The authors posit to reign in opinions with metrics. The corporate enlightenment brought about a revolutionary idea over three centuries ago: to elevate science and knowledge above magical thought and mysticism. When the authors convert this into modern terms, they are referring to data-driven management, analytics, and hypothesis validation. In fact, the idea of applying science in the form of true evidence, confirmed data, etc. to production processes underlies much of the industrial revolution. 2023, IGI Global. All rights reserved. -
How close are you to your end consumer? Data-driven insights to awesome customer experience
The delivery of a tailored customer experience is being widely recognised by executives in the technology industry as the key to unlocking revenue, minimising attrition, and providing growth. It is not simple to satisfy a consumer in today's market. Delivering reliable and efficient experiences across channels is more challenging than it has ever been because of the context of disparate privacy regulations, quick updates to browser technology, and an ever-evolving technological landscape. This research suggests that to do it right, the business needs to have the right people, processes, and technologies working in sync. This study highlights that many companies continue to invest in instruments and technology solutions before they have effectively accomplished the organisational transformation required to perform the role in a data-driven mode. Investments do not always yield the promised results since the basic pieces of mindset, vision, and people are not always in congruence. Consumers are no longer going to be 'just satisfied,' or 'even happy.' 2023, IGI Global. All rights reserved. -
Blockchain technology toward green internet of thingsan exploratory survey
Over the past couple of decades, there has been a spike in industrial activity across the entire world, which has led to an increase in the utilization of fossil fuels. During the same era, technological innovations have triggered an increase in both climate change and carbon legacies. The use of energy by the Internet of Things (IoT) has resulted in a fresh dilemma, which has oriented our priority toward the design of an IoT ecosystem that is more ecological and sustainable. Institutions of higher learning and business corporations have shown interest in the green IoT because it facilitates improved energy-efficient delivery of services and simplifies the process to generate and make consumable use of renewable energy. Blockchain technology is gaining interest from energy producers, entrepreneurial ventures, investment firms, legislatures, and scientists since it is incredibly flexible, safe, and secure. This chapter focuses on the significance of blockchain technology in the green IoT community, highlights the critical considerations that need to be taken into account, and explores how blockchain technology renders the IoT ecosphere healthier and greener. In addition to this, it places an emphasis on the inherent necessity of establishing a long-term IoT infrastructure that takes utilization of the appropriate blockchain technology to another level altogether. 2023 Elsevier Inc. All rights reserved. -
Data-driven behaviour finance for mutual fund investment decision making
When it comes to money and investing funds, the individual portfolio investor isn't always as logical as he feels he is, which is why there's a whole school of thought dedicated to explaining why people behave in irrational and weird ways. The primary objective of this research is to investigate the effects of five major behavioural biases on individual investor decisions in a metro city India, with a focus on mutual funds, as well as to examine how individuals make decisions to ensure that their investments generate greater returns for a better future. The statistical evidence shows that a variety of behavioural elements have a significant part in people' investment decision-making patterns, which has an impact on the population's economic situation. The purpose of this study is to illustrate how an individual's perspective, attitude, and conduct affect mutual fund investments. 2023, IGI Global. -
The inherent risk of climate change becoming a hindrance in a business supply chain
Purpose: A sophisticated network of interconnected supply chains serves as the central organising principle for most of the manufacturing serving the global economy. Right from computers and vehicles to life-saving pharmaceuticals and food is made possible by the supply web. The final goods part of a supply chain may include thousands of components from various global regions. These supply chains have been refined to achieve the highest speed and efficiency. Methodology: This study includes a sample of 127 firms that have been in business for at least 15 years and are familiar with business dynamics. The authors anticipate how climate risks, common in global supply networks, will evolve over the next several decades. This study examines the vulnerability of nine commercial value chains to climatic disasters. Also, it explores company and value chain vulnerabilities, financial losses, and adaptation or strategic methods to increase resilience. Findings: Companies must plan forward in terms of locations by retaining operational facilities while running new operations in less risky places. Without change, supply networks will become unstable and dangerous shortly. Using their climate objectives, businesses must decarbonise their supply chains. Businesses should connect with suppliers longer-term. The quality and dependability of a company's suppliers affect its success and safety. Future-focussed corporations are already engaging their suppliers on health, safety, and environmental issues. Significance: The typology may be helpful to executives as they make decisions about the strategic option(s) they wish to pick to address climate change. These decisions can also be influenced by the insights provided by the research about the present status of operations of other firms from different sectors all over the globe. 2023 by Chabi Gupta and Swati Bhatia. -
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. -
Designing Artificial Intelligence-Enabled Training Approaches and Models for Physical Disabilities Individuals
The focus of this research is on investigating AI-based strategies and models that can be used to develop workforce training systems specifically for individuals with physical disabilities. The goal is to leverage the advancements in artificial intelligence (AI) and its potential impact on workplace learning and development. There is an increasing demand for utilizing AI capabilities to design comprehensive training programs that are both inclusive and effective for people who face physical challenges. The research will examine effective strategies, real-life examples, and current AI-based training platforms for people with physical disabilities. Additionally, it aims to tackle the obstacles and ethical matters linked to incorporating AI in workforce training. These concerns include mitigating biases, ensuring accessibility, and safeguarding privacy. The outcomes of this study will assist in creating progressive approaches and frameworks driven by AI that can empower individuals with physical disabilities by improving their employability prospects while simultaneously fostering inclusivity within workforce training. The chapter will also explore the integration of AI-powered solutions in training programs for physically challenged individuals. By utilizing AI technologies like personalized learning algorithms, predictive analytics, and adaptive content delivery systems, training can be customized to cater to the unique requirements and learning needs of everyone. The implementation of AI has the potential to automate processes, analyze data effectively, and generate personalized learning pathways for improved accessibility. 2024 selection and editorial matter, Alex Khang; individual chapters, the contributors. -
Design of Machine Learning Model for Health Care Index during COVID- 19
Predicting stock prices and index movement in the field of finance is always challenging. The events in the macro-economic framework affect the trends of the market and the COVID-19 pandemic was a major reason for the slowdown of the global economies in the short run. It was assumed that the healthcare industry has completely been transformed due to changing behavioral habits of individuals. The study presents the time series approach with the help of historical prices on the Bombay Stock Exchanges (BSE) Health Care Index, both in the long and short run, using the ARIMA model. The period of the study is from February 1999 to August 2020. The ARIMA equations are used to forecast the future price movement of the Health Care Index till December 2020. The findings reveal that the market will continue with the same volatility, and investors should give due attention to analysis and logical reasoning rather than following their feeling of overconfidence. 2024 Taylor & Francis Group, LLC. -
Feature extraction and diagnosis of dementia using magnetic resonance imaging
Dementia is a state of mind in which the sufferer tends to forget important data like memories, language, etc.. This is caused due to the brain cells that are damaged. The damaged brain cells and the intensity of the damage can be detected by using Magnetic Resonance Imaging. In this process, two extraction techniques, Gray Level Co-Occurrence Matrix (GLCM) and the Gray Level Run-Length matrix (GLRM), are used for the clear extraction of data from the image of the brain. Then the data obtained from the extraction techniques are further analyzed using four machine learning classifiers named Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Random Forest (RF), and the combination of two classifiers (SVM+KNN). The results are further analyzed using a confusion matrix to find accuracy, precision, TPR/FPR - True and False Positive Rate, and TNR/FNR - True and False Negative Rate. The maximum accuracy of 93.53% is obtained using the GLRM Feature Extraction (FE) technique with the combination of the SVM and KNN algorithm. 2023, Bentham Books imprint. All rights reserved. -
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. -
Software development with UML modelling and software testing techniques
This chapter focuses on software development principles and discusses each principle thoroughly with diagrammatic representation. It also includes the definition of UML (unified modeling language) modelling with an explanation regarding how UML modelling takes place and a detailed example. It also focuses on software testing methods, with each method definition and diagrams well explained. A simple case study situation is taken to discuss the example of UML model. This chapter's main objective is to focus on all key points of software development testing and model design techniques precisely. 2023, IGI Global. All rights reserved. -
Synthesis and catalytic applications of metal boride ceramics
Metal borides belong to the class of high-temperature ceramics and have conventionally been used for high-temperature applications. However, in the past few decades, new variants of metal borides have emerged, with high catalytic capabilities. Owing to their tuneable structural, compositional, and morphological properties, metal borides have huge potential for industrially relevant catalytic applications. This chapter compiles the existing knowledge on the ever-expanding family of metal borides. Various synthesis strategies that are commonly adopted for the fabrication of metal borides, both in crystalline and amorphous/nanocrystalline forms, are discussed in detail. The chapter also aims to explain the origin of catalysis in metal borides. Some of the most prominent catalytic applications of metal borides are vividly discussed in this chapter. At the end of this chapter, a brief outlook is provided for future research initiatives with metal borides. 2023 Elsevier Ltd. All rights reserved. -
Limaco?n Inspired Particle Swarm Optimization forLarge-Scale Optimization Problem
Large-scale optimization problems are a complex problem in the class of NP-Hard. These problems are not solvable by traditional methods in a reasonable time. Single machine total weighted tardiness scheduling problem (SMTWTSP) is a complex problem in this category. It has a set of different events with varying criteria that need to be scheduled on one machine. The main aim of this problem is to find the minimum possible total weighted tardiness. Particle swarm optimization (PSO) algorithm has performed admirably in the field of optimization. To solve complex optimization problems, several new variants of this algorithm are being developed since its inception. This work proposed an influential local search (LS) technique inspired by limaco?n curve. The new local search is hybridized with PSO and named Limaco?n inspired PSO (LimPSO) algorithm. The efficiency and accuracy of the designed LimPSO strategy are tested over the large-scale SMTWTS problem, which shows that LimPSO can be considered an effective method for solving the combinatorial optimization problems. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Positive People and Confident Competitors: Resilient Youth Development Through Sport and Physical Activity
In the altering world scenario, there is a necessity to plan, prepare and progress with youth development. Research has associated positive youth development with the 5Cs model (competence, confidence, connection, character and caring) (Lerner et al., The Journal of Early Adolescence 25:17-71, 2005) to build resilience in youth. Over the past 35 years, sport psychology has established that sport helps in developing necessary psychological skills and attributes among youth. Youth sport is an extracurricular activity that provides young people with unique negative and positive experiences. Within these experiences, the individual goes beyond the self and has to work with a diverse group of others for self-development and achievement of shared goals. In this chapter, our primary objective is to review the foundations of literature concerning confidence, resilience and identity as corner-stones for positive youth development through sport. To achieve this objective, we adopt a global approach blending field experience from participatory sport, developmental sport and elite sport to provide an intervention framework grounded in applied sport psychology. Intervention framework provided is aligned to the COM-B behaviour change model (Michie et al. 2011) for sustainable change. The focus is on a balance between developing stable protective factors for mental health and positive youth development to ensure appropriate cognitive, social, emotional and behaviour skills to thrive in an evolving world. Implications for transferring this learning cross-culturally and in non-sport contexts such as schools and grass-root programs are discussed with recommendation for good practice. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Advances in text steganography theory and research: A critical review and gaps
There is an immense advancement in science and technology, and computing systems with the highest degree of security are the present hot topic; however, the domination of hackers and espionage in terms of disclosing the sensitive information are steadily increasing. This chapter presents a theoretical view and critical examination of the few text steganography methods in the contemporary world. It tells the direction in which research has developed over the past few years. Cryptography, the encipherment to a certain extent, protects the data by making it unreadable but not safe. Improvisation of the same can be done using another layer of protection that is steganography in which the secret embedded inside the cover text will not be revealed. 2021, IGI Global.