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Decarbonising Building Construction Using Bio-Digital Fabrication: An ISM Approach
Get PDFTo embark on a truly sustainable path to have a greener environment, instead of putting electric motors on the building facades, an inherently natural resource should be opted for. Decarbonising the building construction, which is an energy-intensive process, needs a shift toward biomanufacturing integrated with innovative genetic engineering technology. This paper aims to examine the potential role of living microorganisms in making building materials through bio-digital fabrication. These bio-manufactured materials are bio-degradable and self-healing living spaces. The present study identified eight key success factors of bio-digital fabrication in the Indian context. From government policies to public awareness and technological advancements in bio-digital manufacturing, cost and scalability-related factors were among the identified factors. Further, an Interpretive Structural Modelling (ISM) based approach was used to evaluate the success factors that are interrelated and are part of a complex system. The results reveal that government policies and technological innovation are the root factors and independent factors.. Further, collaboration and education & training are the strongest strategic enablers on which all the structural and operational enablers depend. Reduced waste from construction demolition appeared to be a dependent variable, i.e., outcome variable. Overall, bio-digital fabrication is a promising solution toward decarbonising the Indian building construction industry
Fairness-First AI in Demand Response: Bridging Equity and Efficiency in Smart Energy Systems
No full textDemand response (DR) is central to innovative grid efforts, yet traditional models often neglect social equity. We present a Fairness-First DR algorithm that embeds energy justice principles, digital inclusion, and algorithmic accountability into load-shifting strategies. Using Jaipur, India, as a case study, we propose a conceptual model that balances utility goals, such as peak reduction, with justice-oriented aims, including affordability, participation, and recognition. Our framework expands conventional energy models by integrating equitable DR access regardless of device ownership or internet access. We synthesise demand data under a cost-minimising baseline and our Fairness-First controller. Results show significantly improved equity, as low-income households capture a greater share of bill savings, and the Jain fairness index rises from 0.65 to 0.92, with minimal loss in peak reduction. Informal dialogue with Jaipur stakeholders - policymakers, utility engineers, and residents - reveals strong concern about fair benefit-sharing. Residents frequently worry that DR programs may favour those with smart appliances, excluding poorer households. We outline a realistic implementation pathway through Indian institutions, including the Ministry of New and Renewable Energy (MNRE), the Energy and Resources Institute (TERI), the Self-Employed Women's Association (SEWA), and state governments. Proposed solutions address key barriers to peak reduction, including digital literacy, data gaps, and trust, by providing training and promoting transparent data sharing. By placing justice at the heart of DR, this study contributes actionable insights for more equitable energy transitions
Adaptive Learning Ecosystems: AI-Enabled Cloud Platforms for Employee Upskilling
No full textThe accelerating pace of technological change has created a critical skills gap, rendering traditional corporate training models obsolete. This chapter explores the transformative potential of adaptive learning ecosystems—AI-enabled, cloud-native platforms that create dynamic, personalized environments for continuous employee upskilling. It deconstructs the core architectural pillars of these systems: artificial intelligence for personalization, cloud infrastructure for scalability, and dynamic content for relevance. The analysis covers the mechanisms of adaptation, strategic benefits for organizational agility, and a practical implementation framework. It also addresses critical challenges, including data privacy and algorithmic bias. Ultimately, the chapter argues that investing in these ecosystems is a strategic imperative, enabling businesses to build a resilient, future-ready workforce and sustain a competitive advantage in the AI-augmented economy
Cloud- Driven Organizational Agility: AI as the Catalyst for Digital Transformation
No full textThis chapter examines the synergistic relationship between cloud computing and artificial intelligence (AI) as the core driver of modern digital transformation. It argues that while cloud computing provides the foundational infrastructure for or ganizational agility—enabling scalability, speed, and DevOps practices—it is the strategic application of AI that acts as the essential catalyst. AI transforms cloud capabilities into intelligent operations through predictive analytics, automation, and generative capabilities. The analysis moves from theoretical foundations to practical use cases across business functions, outlining the necessary human and organiza tional shifts. Crucially, the chapter concludes with a comprehensive discussion of the multi- faceted implications, addressing the managerial, practical, ethical, and social considerations leaders must navigate to harness this transformative potential responsibly and effectively
AI- Augmented Leadership Redefining Managerial Decision- Making in the Cloud Era
No full textThe convergence of artificial intelligence (AI) and cloud computing is fundamentally redefining managerial decision- making. This chapter explores the paradigm of AI-augmented leadership, where human intuition is synergistically combined with algorithmic intelligence to navigate an increasingly complex business environment. It argues that the leader's role is evolving from a solitary decider to a designer of intelligent decision- making processes. The analysis deconstructs the foundational triad of AI, cloud infrastructure, and the modern leader's evolving skillset. It then presents a practical framework for augmented decision- making, spanning enhanced situational awareness, generative optioneering, and data- informed judgment. The chapter culminates in a critical examination of the profound managerial, ethical, social, and practical implications, asserting that while AI provides powerful capabilities, the ultimate responsibility for wise and ethical judgment remains a uniquely human imperative
Multi-agentic Framework for Crafting Fantasy 11 Cricket Teams
No full textCricket, with its intricate strategies and deep history, increasingly captivates a global audience. The Indian Premier League (IPL), a Twenty20 league in cricket, highlights the best of global talent in a fast-paced format lasting just a few hours, unlike the longer formats of the game. Renowned for its fusion of technology and fan engagement, the IPL stands as the world's most popular cricket league. This study concentrates on Dream11, India’s leading fantasy cricket league for IPL, where participants craft virtual teams based on real player performances to compete internationally. Building a winning fantasy team requires navigating various complex factors including player form and match conditions. Traditionally, this has been approached through operations research and machine learning. This research introduces the FanCric framework, an advanced multi-agent system leveraging Large Language Models (LLMs) and an open-source orchestration framework to automate the fantasy team selection in cricket. FanCric thus leverages both structured and unstructured data to generate teams. The benchmark analysis involves scrutinizing approximately 12.7 million unique entries from a Dream11 contest, evaluating FanCric’s efficacy against the collective wisdom of crowds and a simpler prompt engineering approach. We further evaluated the impact of generating varying numbers of teams. The exploratory findings in this study are promising, indicating that further investigation into FanCric’s capabilities is warranted to fully realize its potential in enhancing strategic decision-making using LLM’s in fantasy sports and business in general
A review of research on the role of emerging technologies in digital globalization
Get PDFEmerging digital technologies such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and the metaverse, are the core pillars of Industry 4.0. Firms leverage these technologies to innovate and improve supply chain and collaboration coordination and extend their scale of operations rapidly. Existing research on the role of emerging technologies in digital globalization, however, is fragmented theoretically and empirically, making it challenging for research to discern trends. To address this gap, the current study adopts scientometrics and topic modeling to scientifically map the current state-of-the-art and chart the trends of scholarly interest. We present the social and intellectual structure of research on this topic by proving insights on prolific researchers and popular topics using topic modeling. Based on the findings, the study provides important implications for scholars and policymakers
Green consumption across borders: a hybrid meta-analytic investigation exploring cultural values, human development and internet access
No full textPurpose: The purpose of this study is to combine two types of meta-analytical approaches, i.e. SEM-based meta-analysis and fuzzy set qualitative comparative analysis (fsQCA)-based meta-analysis. It also integrates the underpinnings of the theory of planned behaviour (TPB) and attitude-behavior-context theory in the green consumption context to propose solid relationships between the factors driving green consumption and uses a moderation analysis to address the inconsistent findings reported regarding these relationships.
Design/methodology/approach: By integrating the findings from 144 studies, a meta-analysis was performed, adopting several analytical methods: path analysis, moderation analysis and fsQCA.
Findings: SEM-based meta-analysis suggests that socio-psychological factors enhance purchase intention towards green offerings, which in turn drives green purchase behaviour. fsQCA-based meta-analysis shows how socio-psychological factors and contextual factors jointly in different combinations lead to high and low green purchase behaviour. Moderation analysis finds that consumers’ cultural identities, development status of the country and internet access level of countries cause inconsistencies in the green consumption literature.
Research limitations/implications: The authors selected papers published in English; hence, other relevant papers in this domain published in other languages might have been missed. Also, the authors might have missed some relevant papers that did not use the keywords specified for the paper search.
Practical implications: The findings are useful to marketers of green offerings in designing strategies, i.e. specific messages, targeting different customers based on countries’ cultural identities, development status of the countries and internet accesses level of countries, to harvest positive customer responses.
Originality/value: This study proposes a hybrid meta-review approach by combining SEM-based meta-analysis and fsQCA-based meta-analysis, thereby advancing the methodological rigour of the meta-analytic approach. Further, this study incorporated socio-psychological factors and contextual factors driving green consumption based on the integration of TPB and Attitude-Behavior-Context theory. Moreover, the authors have investigated the possible reasons for inconsistent findings reported in the literature
Integrating the SDGs Into Corporate Governance: A Legal Imperative for Global Sustainability
No full textThis chapter explores the evolving legal landscape of sustainable global business, moving beyond traditional profit-centric models to embrace environmental, social, and governance (ESG) stewardship. It traces the historical development of sustainability from the Brundtland Report to the UN Sustainable Development Goals (SDGs), highlighting how international treaties and frameworks have shaped corporate responsibility. The text provides a comparative analysis of national sustainability laws across the EU, US, Asia, and Africa, revealing diverse regulatory approaches and common trends towards increased transparency and accountability. Integrating the SDGs into corporate governance examines the critical role of corporate governance in achieving the SDGs. It further discusses dispute resolution, enforcement mechanisms, and emerging challenges, advocating for robust, adaptable legal frameworks to drive businesses towards a more equitable and sustainable future
Future Directions in Environmental Forensics
No full textEnvironmental forensics is a developing field of study applying science, law, and inquiry to identify pollution sources, timing, and accountability. Environmental forensics has been developed from pollution tracking and regulatory enforcement into a complex discipline that examines difficult environmental crimes. Pollution and environmental degradation are examined via time analysis, source attribution, and pollution fingerprinting. Modern environmental forensic investigations apply both traditional and innovative approaches. Geospatial technology, biological markers, genetic and microbiological forensics provide ecological and spatial background for contamination events. Predictive modeling, pattern discovery, and data harmonization across environmental datasets are enabled by artificial intelligence, machine learning, and big data. Research is advanced by 3D environmental reconstruction, eDNA applications, satellite, and drone observation. Despite scientific developments, environmental forensics faces legal challenges, data access, and confidentiality of environmental crimes. The future of environmental forensics rests on its capacity to welcome innovation, adapt to new challenges, and link research and policy. As environmental crimes get increasingly complex and commercially motivated, environmental forensics will be more crucial than ever in ensuring responsibility and safeguarding of ecosystems