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Building a sustainable brand in textile industry
The textile industry is at a pivotal moment where integrating sustainability into brand strategies is not merely an ethical obligation but a competitive necessity. This study highlights three key approaches-adoption of circular economy principles, implementation of blockchain technology for supply chain transparency, and the use of innovative, sustainable materials-that are shaping the future of sustainable brand development in the textile sector. -
Building a sustainable relationship between customers and marketers
Finding new customers is costlier than retaining the existing customers for the business. Therefore, building a strong relationship with customers helps marketers to retain their existing customers. Incorporating ethical and moral values into marketing activities offer a way to build a strong relationship. This study identifies the factors that bind customers and marketers into a sustainable relationship in the Indian context. This study constitutes a framework to understand and apply sustainable relationship marketing in the personal care industry. This study touches certain marketing disciplines such as marketing mix policy, transparency in trades, building trust, product delivery, promises delivery, and sustainable relationship. The convenience sampling technique used for the selection of respondents from the Mohali City of Punjab, and interview them. The finding suggests that promises delivery is the most important factor for a sustainable relationship. If promises are delivered effectively then the life of the relationship will be longer. Copyright 2024 Inderscience Enterprises Ltd. -
Building an Industry Standard Novel Language Model Using Named Entities
In every Industry, there is a significant amount of text used in their specific domains. As these are less prevalent in the testing set, anticipating entity names in a language model is a problem faced by the entire industry. In this research a unique and very effective strategy for creating exclusionary classification models that could map entity names based on entity type information is provided. A group of benchmark datasets based on Mortgage is presented, which we used to test the below-presented model. According to experimental findings, our model achieves a perplexity level that is 64% higher than that of the most advanced language models. 2022 IEEE. -
Building an International Entrepreneurship Index using the PSR framework
This paper builds an International Index for Entrepreneurship (IIE) for the year 2018, by using a conceptual framework named PSR (Pressures-State-Response) to encapsulate the contextual aspect of entrepreneurship globally. In the past, the indices have used a methodological framework of composite indices. This paper uses the PSR framework to show how these indicators fall into the categories of pressure, state, and response, and concentrates on how these subsystems are interrelated. The study considers 41 countries for the construction of the index. We also check the correlation between the IIE and other growth indicators such as the corruption perception index, the economic freedom summary index, GDP per capita, and trade openness using suitable statistical tools.The correlation analysis demonstrates that the IIE and the Economic Freedom Summary Index have a positive association. 2022 IEEE. -
Building brand loyalty in the digital age: The power of social media engagement
This book chapter aims to provide information on the role of social media as a Digital Platform or Tool for emerging brands. It aims to find how emerging brands can use social media as digital platform to enhance brand awareness, engagement, reputation and consumer loyalty. This chapter also addresses the effect of Covid-19 pandemic which accelerated social media's role in marketing, as brands sought new ways to interact with consumers online. Additionally, it underscores the increasing complexity of brand loyalty in social media era where influencer marketing significantly impacts consumer perception. The Chapter also reveals the importance of Instagram marketing for emerging brands in building brand awareness. It also helps in fostering engagement with consumers, driving brand loyalty to create a strong online presence and differentiate themselves in the competitive market. 2025 by IGI Global Scientific Publishing. -
Building capabilities and workforce for metaverse-driven retail formats
The metaverse, a breakthrough virtual reality environment, offers boundless retail potential. Metaverse-driven retail needs a good strategy to succeed in a time of changing consumer expectations and the digital revolution. This chapter covers metaverse-driven retail preparation tactics. The metaverse allows retail innovation and adaptation during e-commerce and COVID-19 pandemic upheavals. Understanding metaverse dynamics and developing the abilities is crucial. Determine metaverse applicability to retail, define requisite capabilities, analyze staff competencies, and establish practical training and development programs. Examples include understanding metaverse technology, immersive shopping, datadriven personalization, and strong cybersecurity. Digital fluency, collaboration, design, and cybersecurity awareness are workforce competencies. This chapter stresses metaverse readiness through training, growth, and strategic alignment. It emphasizes that the metaverse transforms reality and opens up new possibilities. 2024, IGI Global. -
Building Character Through Teaching Values: A Positive Youth Development Model for Student Engagement and Development
Character development is a fundamental aspect of whole person education, fostering ethical responsibility, resilience, and social-emotional competence in students. This chapter explores the role of teaching values as a cornerstone of Positive Youth Development (PYD), emphasizing how structured engagement in academic, extracurricular, and community activities shapes students' moral and personal growth. Grounded in PYD theory, this chapter presents a framework for integrating valuesbased education within higher educational institutions, highlighting key strategies such as mentorship, service learning, and student leadership. By cultivating essential virtues like respect, integrity, and empathy, educators can enhance student engagement, promote civic responsibility, and contribute to a thriving society. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Building Digital Relationships: Social Relationship Marketing Strategies to Generative AI
Artificial intelligence (AI) is redefining business process optimization to make business efficient, cheaper, and innovative. AI streamlines operations, automates processes, and enhances decision- making to enable business to serve customers better and remain competitive. AI solutions vary from customer services, supply chain management, finance, and human resource. AI chatbots provide 24/7 customer support, and predictive analytics enable optimized sales forecasting and inventory management. AI allows savings and creation of innovations by means of customized services. Challenges that do arise include the necessity of having quality data. AI has to be trained on huge volumes of data for it to be able to make sound predictions, and poor data quality will bring about the destruction of decision- making. Last but not least, investing in AI technology and experienced personnel can be exorbitant. 2026, IGI Global Scientific Publishing. All rights reserved. -
Building Emotions Awareness in the Classroom
Emotional development begins in early childhood, with the school environment and educators playing a crucial role in shaping children's relationship with emotions. Integrating social-emotional learning (SEL) can foster the skills to manage strong emotions and build healthy relationships. Through their daily interactions and structured lessons, teachers can help children identify, regulate, and express feelings appropriately. Children who effectively manage their emotions play a vital role in promoting teachers' well-being and job satisfaction. Emotion regulation doesn't involve blanket strategies that work for everyone. This chapter will explore the variations in emotional development across the Pre-K to 12 age range, highlighting the distinct stages and characteristics unique to each phase. Therefore, the proposed strategies, with a strong focus on parent-teacher collaboration are designed to align with the child's developmental stage, ensuring maximum effectiveness and benefits. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Building Global Teaching Capacity Among Pre-Service Teachers: Epistemological and Positional Framing in an Internationally Paired, Authentic Practicum
Building the capacity of pre-service teachers to work in globalized cross-cultural environments is essential to cope with the challenges of the 21st century. This study establishes the value of internationally paired, authentically collaborative practicums with strong epistemological and positional framing in pursuing such capacity development. It was conducted among 90 pre-service teachers from three different universities in Australia and India who participated in a three-week paired practicum in three schools in India. The practicum included the collaborative production of an integrated Australian and Indian combined theme presented in a whole school forum. Mixed methods and a design-based research approach yielded data affirming that such a model did indeed provide pre-service teachers with the confidence to teach in increasingly diverse classrooms and contexts, while also identifying which aspects of this practicum model were most influential in this regard. 2021 European Association for International Education. -
Building inclusive workplace: Enhancing safety, security, and service quality to address workplace discrimination
This chapter examines the link between inclusivity, anti- discrimination efforts, and organizational performance through a study of IT employees from Northeast India, revealing workplace discrimination like racial stereotyping and exclusion. Such biases cause emotional distress, hinder career growth, and lower morale. Organizations must implement zero- tolerance policies, clear grievance mechanisms, and meritbased promotions to ensure fairness. Cross- cultural training fosters respect, breaks stereotypes, and strengthens team cohesion. Inclusive workplaces drive innovation, creativity, and productivity. Employees who feel valued contribute more effectively to organizational success. A holistic diversity strategy requires proactive leadership and continuous monitoring. Inclusivity is both an ethical imperative and a strategic asset for sustainable growth. 2026, IGI Global Scientific Publishing. All rights reserved. -
Building Partnerships and Networks for Collaborative Practice-Led Research Initiatives
This chapter delves into the strategic development of partnerships and networks aimed at enhancing collaborative practice-led research initiatives. It underscores the significance of these collaborations in fostering professional development across various disciplines. By analyzing successful models and theoretical frameworks, the chapter provides actionable insights for building and maintaining effective partnerships that drive innovation and professional growth. It also addresses critical challenges such as organizational culture differences, misaligned goals, and communication barriers, offering practical solutions for sustaining long-term collaborations and ensuring continuous improvement. The insights presented are grounded in rigorous academic research and aim to guide practitioners and researchers in creating impactful and sustainable collaborative networks. 2025 by IGI Global Scientific Publishing. -
Building Resilience Through Flexibility to Mitigate Pandemic Disruption: A SAPLAP Analysis of Textile and Clothing Supply Chain
Global organisations are increasingly emphasising efficiency in their supply chain activities. However, amidst the post-COVID-19 pandemic landscape, supply chain resilience is becoming imperative for mitigating disruptions, and ensuring uninterrupted production and delivery of goods and services. This is more true for textile and clothing supply chains which have their activities present across the globe and therefore susceptible to pandemic disruptions. This research attempts to advance the discourse on supply chain resilience by highlighting the ambidextrous role of flexibility and how it strengthens robustness as well as agility. The study employs the SAP-LAP framework (situation, actor, process; learning, action, performance) and views it through the lenses of Contingency Theory and Dynamic Capability Theory to formulate reactive and proactive strategies for supply chain resilience. The research reveals key elements of situation, actors, processes, learning, and actions for enhancing resilience performance in the textile and clothing supply chains. The results underscore the enormous significance of flexibility as a precursor for creating flexible procurement, agility, operational manoeuvrability, product diversification, and risk management culture in the supply chain. By intertwining flexibility with resilience and underpinning it with organisational theories, this study contributes to the broader discourse on supply chain disruption risk management. The Author(s) under exclusive licence to Global Institute of Flexible Systems Management 2025. -
Building resilient and sustainable operations through cloud security
With the evolution of the digital era, organizations are increasingly employing cloud computing for enhanced scalability, operational effectiveness, and innovation. With this rapid evolution in cloud technology comes vulnerability to advanced and dynamic cybersecurity threats for enterprises. This chapter discusses the idea of cloud security intelligence (CSI) as a strategic method for developing sustainable and resilient cloud operations. CSI employs state-of-the-art technologies such as artificial intelligence (AI), machine learning (ML), real-time monitoring, and automation for threat detection, investigation, and threat management proactively. The chapter discusses the very essence of CSI, i.e., collecting data, threat detection, incident response, and ubiquitous monitoring, and reflects how CSI contributes to regulatory compliance, business resilience, cost reduction, and sustainability of the environment. Through real-life instances of CSI deployment in healthcare, finance, and e-commerce spaces, the chapter illustrates the paradigm-breaking function of CSI in the organizational security stance. Furthermore, it brushes upon current issues of CSI deployment and maps future directions involving AI, blockchain, Internet of Things (IoT), and quantum-safe encryption. Last but not least, CSI also offers itself not merely as a technical solution but as a strategic enabler of secure, compliant, and sustainable digital realms. 2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors. -
Building resilient and sustainable operations through cloud security
With the evolution of the digital era, organizations are increasingly employing cloud computing for enhanced scalability, operational effectiveness, and innovation. With this rapid evolution in cloud technology comes vulnerability to advanced and dynamic cybersecurity threats for enterprises. This chapter discusses the idea of cloud security intelligence (CSI) as a strategic method for developing sustainable and resilient cloud operations. CSI employs state-of-the-art technologies such as artificial intelligence (AI), machine learning (ML), real-time monitoring, and automation for threat detection, investigation, and threat management proactively. The chapter discusses the very essence of CSI, i.e., collecting data, threat detection, incident response, and ubiquitous monitoring, and reflects how CSI contributes to regulatory compliance, business resilience, cost reduction, and sustainability of the environment. Through real-life instances of CSI deployment in healthcare, finance, and e-commerce spaces, the chapter illustrates the paradigm-breaking function of CSI in the organizational security stance. Furthermore, it brushes upon current issues of CSI deployment and maps future directions involving AI, blockchain, Internet of Things (IoT), and quantum-safe encryption. Last but not least, CSI also offers itself not merely as a technical solution but as a strategic enabler of secure, compliant, and sustainable digital realms. 2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors. -
Building Resilient Portfolios: Integrating Climate and Environmental Risks into Portfolio Diversification Strategies in the Modern Era
In the modern era, integrating climate and environmental risks into portfolio diversification is crucial for building resilient investment strategies. This chapter explores strategies for building resilient investment portfolios by integrating climate and environmental risks into portfolio diversification strategies. It aims to provide a comprehensive framework for balancing financial returns with sustainable, long-term environmental goals in the context of the modern investment landscape. The chapter reviews innovative financial instruments, such as green bonds and environmental, social, and governance (ESG) strategies, and examines case studies of successful integration within both developed and emerging markets. The chapter finds that incorporating climate and environmental risks into portfolio strategies not only enhances resilience but also presents new opportunities for sustainable growth. Successful approaches include active engagement with ESG criteria, the use of environmental risk assessments, and the adoption of climate-aware investment products. The chapter faces limitations in the availability of ESG data across markets, which affects the generalization of research outcomes. Future studies need to establish advanced mathematical models for better assessing environmental hazards during portfolio spread assessment. For investors and portfolio managers, the research provides actionable insights into integrating climate and environmental considerations into their strategies. It recommends adopting robust risk management tools, enhancing transparency in ESG reporting, and fostering collaboration with policymakers to create a more climateresilient financial ecosystem. It is valuable for investors, financial institutions, and policymakers seeking to adapt to the challenges of a rapidly changing climate while ensuring sustainable economic growth. 2026 Afzalur Rahman, Shakeb Akhtar, Mahfooz Alam, and Mohsin Khan and 2026 The authors. -
Building Robust FinTech Applications and Reducing Strain on Strategic Data Centers using the LoTus Model
Agile is a well-known project management approach that has been used for many years. It places a strong emphasis on client satisfaction, adaptability, and teamwork. Agile was first developed as a software development approach, but it has now been modified for application in other sectors including marketing and finance. The Agile Manifesto, which was released in 2001 and explains the principles and ideals of Agile development, is the foundation of the Agile ideology. One or more of the guiding principles is to adapt to change instead of following a plan, prioritize functional software over thorough documentation, and collaborate with customers over negotiating contracts. Agile has gained popularity over time as businesses try to be adaptable and responsive to their customers' constantly changing business demands. The lack of predictability in Agile is one of its key drawbacks. Agile stresses client cooperation and adaptation, therefore the finished product could differ somewhat from what was originally planned. For businesses that depend on meticulous planning and a rigid schedule, this lack of predictability can be problematic. It faced a serious problem during the process of building a finance application called JazzFinance. This has led to build another robust and systematic software development method called as LoTus model. The proposed LoTus is an acronym for two abbreviations. Those are lean optimization TypeFace for Unified Systems (LoTus) and Locate dependencies, optimize for reusability, Test-Driven environment, Unify Design and Scalability. This article goes through the development of LoTus and how it has helped us build a stable finance application within a small amount of stipulated time. 2023 IEEE. -
Building Smarter Systems with Advanced Computational Techniques
The biological data analysis is a key approach that uses the genetic, transcriptomics, proteomics, metabolomics, or clinical data to discover diseases. Diabetes and leukemia are two independent medical disorders, but research has found that people with type 2 diabetes have a 20% higher chance of developing blood malignancies such as acute leukemia, showing a link between the two. Early identification of these disorders by studying biological datasets is critical for providing prognostic information. However, the class imbalance and high dimensionality problems in Machine Learning (ML)based techniques have often degraded effective analysis of clinical and genomic datasets for disease detection. This paper focuses on developing an efficient clinical decision support system using advanced metaheuristic and ML algorithms to solve class imbalance and high dimensionality problems. The first stage of the proposed approach utilizes an optional data augmentation and another pre-processing method for outlier detection and removal using Modified Z-Score (MZS) based on the Median Absolute Deviation (MAD) metric. Then, the optimal features/genes are selected using a hybrid Firefly Pearson's Correlation Coefficient (FPCC)-based Feature/Gene Selection method to reduce the higher feature dimensionality problem. Once the features/genes are selected, the proposed Ladybug Beetle Optimized Universum Learning-based Twin Boosted Adaptive Support Vector Machine (LBO-ULTBASVM) classifier detects the disease with reduced model complexity and error rates. LBO-ULTBASVM is developed by improving the Twin Support Vector Machine (TSVM) classifier by integrating the Universum Learning, Ladybug Beetle Optimization (LBO), and XGBoost for solving the class imbalance problem, reducing training time and improving disease accuracy. Experiments are conducted using PIMA Indians Diabetes and GSE9476 Leukemia datasets and the outcomes indicated that the LBO-ULTBASVM-based model increases the diabetes and leukemia detection accuracy with reduced model complexity and processing time. 2025 IEEE. -
Building Sustainable Brands: Strategies for Long- Term Market Positioning
Sustainable branding has grown significantly as consumers increasingly favor companies demonstrating genuine commitment to environmental and social responsibility. This article explores strategies for building sustainable brands that can achievelong- term market positioning and differentiation. It outlines key approaches, including crafting a value proposition centered on sustainability, engaging stakeholders across the value chain, and communicating sustainability efforts with transparency and authenticity. The article underscores how these strategies contribute to enhanced brand equity, customer loyalty, and competitive advantage in a marketwhere ethical considerations drive consumer behavior. By examining successful case studies, the article provides actionable insights for businesses looking to integrate sustainability into their core brand strategy. Ultimately, it argues that sustainable branding is not only crucial for meeting contemporary consumer expectations and fostering positive social impact ensuring that brands remain relevant and resilient in an evolving marketplace. 2026 by IGI Global Scientific Publishing. -
Building the Cities of Tomorrow: Pathways to Inclusive, Safe, Resilient, and Sustainable Urban Futures
The study offers an outline for supporting inclusive, safe, resilient, and sustainable urban futures, directing on Indian cities in an international setting. It familiarises three interconnected tools: the Urban Sustainability Integration Model (USIM), the Global Sustainability Transferability Index (GSTI), and the Policy Gap Map (PGM). USIM assesses urban performance in inclusivity, safety, resilience, sustainability, and heritage conservation. GSTI observes the flexibility of global best practices like Barcelonas superblocks or Medells Metrocables to Indian settings by evaluating governance, socio-economic, technological, and cultural factors. PGM recognises misalignments between policy goals and implementation, particularly in relative to SDG 11. Case studies of Mysuru, Bengaluru, Kochi, Tokyo, Curitiba, and Kigali reveal that Indian cities lag in sustainability, with gaps in inclusivity, climate adaptability, and governance. The study offers an analytical, benchmarking, and flexible toolkit for policymakers. 2026, IGI Global Scientific Publishing.