9782 research outputs found
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The Cloud-Native Enterprise: Orchestrating Intelligent Automation Across Global Operations
No full textThe contemporary global business landscape demands a new operational paradigm centered on agility and intelligence. This chapter argues that the convergence of Cloud-native architectures and intelligent automation (IA) is fundamental to this transformation. It deconstructs how Cloud-native principles—microservices, containers, and DevOps—provide the essential, scalable foundation for orchestrating IA across complex, global operations. The analysis moves beyond a technical blueprint to explore a practical implementation playbook for transitioning from pilot to enterprise- wide scale. Crucially, the chapter dedicates significant focus to the profound implications of this shift, examining the social impact on the workforce, practical challenges like talent and cost, critical ethical considerations around algorithmic bias, and the evolving role of leadership. Success requires managing this socio- technical transformation to build resilient, responsible, and competitive enterprises
AI Ethics in People Analytics Balancing Automation, Privacy, and Fairness
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 organizational 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 organizational 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
Evaluating the effectiveness of crowd wisdom and large language models for fantasy cricket team selection
No full textThis study evaluates the effectiveness of the Wisdom of Crowds (WOC) and reasoning large language models (LLMs) in constructing high-performing fantasy cricket teams within the constrained decision space of the Indian Premier League (IPL). Fantasy team selection presents a high-dimensional, combinatorial optimisation problem subject to budget, role, and captaincy constraints, making it a natural testbed for operational research and collective intelligence. Using data from over 500 million Dream11 team entries across 40 IPL contests in 2023 and 2025, we perform prediction and evaluation, assessing whether aggregated crowd selections outperform individual users and expert-curated line-ups. Two WOC aggregation strategies, mode-based and greedy role-wise heuristics are benchmarked against population and expert baselines. To interpret WOC behaviour, we extract structural heuristics from top-performing entries, including role configurations, credit mixes, and context-aware co-selection rules using rule mining techniques. These heuristics are then embedded into structured prompts that guide a reasoning LLM to generate teams under operational constraints for the IPL 2025 final. The rule-based LLM outperforms its baseline counterpart and rivals WOC teams in performance, showcasing a scalable framework for hybrid human-AI decision-making. We release anonymised fantasy team datasets to support future work in crowd analytics and sports modelling for decision support
US-Israel Aggression On Iran: Loop Of War And Resistance Will Continue
Full text linkThe US-Israel axis started an unprovoked war and aggression against Iran. Iran's supreme leader, Ayatollah Ali Khamenei and Defence Minister, Army Chief have been killed, as have been scores of civilians, including over 150 schoolgirls. The US - Israel combined operation using high-precision weapons costing millions of dollars and kamikaze drones continues to target the Iranian leadership with the objective of regime change. Iran has retaliated by bombing US bases and Israel in the fragile oil-rich Gulf region. This war of attrition escalates, lives are lost, destruction and wanton devastation underscore strategic objectives of the empire and its desire for global hegemony. Globally, countries are appealing for cease fire and de-escalation
Modelling the Path from Servitization Enablers to Customer Centricity in the Automotive Industry: An fsQCA and ANN Analysis
No full textThe current study utilizes the major servitization enablers, including value co-creation, service customization, technology integration and network orchestration, as the core factors influencing customer centricity in the Indian automotive service industry. As the industry has shifted to service-oriented value creation, it is necessary to assess those relationships through the lens of the automotive service providers. This study is grounded in the service-dominant logic (SDL), dynamic capabilities (DC) theory and product-service systems (PSS) approach and investigates the data obtained from 179 Indian automotive service providers. Fuzzy-set qualitative comparative analysis (fsQCA) reveals multiple equifinal configurations that lead to high customer centricity, demonstrating that no single enabler is appropriate. These findings are further substantiated by artificial neural network (ANN) analysis, which reveals that value co-creation plays a vital role in service performance and is the most important enabler of customer centricity (normalized importance = 100%). This dual methodological approach strengthens the results. The research presented feasible observations to automotive service providers, emphasizing the significance of value co-creation, enhancement of co-creation and the creation of flexible service systems that enable customer-oriented decision-making
Prioritising burn prevention within Sustainable Development Goals
No full textBurn injury remains a neglected global public health challenge, disproportionately affecting the poor, marginalised populations, children and women. While prevention and improved health system responsiveness have led to a significant reduction in burn mortality and disability in high-income countries, outcomes remain poor in many low- and middle-income countries. Though the Sustainable Development Goals (SDGs) do not explicitly mention burn injury, there are numerous SDG targets that are directly or indirectly relevant to burn prevention, acute care, rehabilitation and social reintegration. Progress on many of these targets is slow or stagnating. To address this challenge, researchers, policymakers and stakeholders must urgently adopt the aligned burn-specific SDG targets and indicators tailored to national and regional contexts, to monitor progress and intensify multisectoral action. Without such a decisive commitment, burn injury prevention would not get the required policy attention
Transformational Leadership's Effect on Rethinking Local History Education: The Mediation of Organizational Culture in the Ethiopia Education Sector
No full textThis chapter looks at how transformational leadership may change the way we think about teaching local history, through an emphasis on how culture of organization affects this in Ethiopia's education system. The study uses a quantitative research methodology through a sample size of 385 people to look at the nexus among transformational leadership, culture of organization, as well as new ways of teaching local history. The outcomes show that transformational leadership has a big impact on how local history is taught by creating an culture of organization that supports innovation as well as teamwork among teachers. This chapter shows how transformational leaders may get people involved in local history by getting them to try innovative teaching methods. The effects on how schools work are huge, showing how essential it is for leaders to create an environment that encourages new ideas. Schools may better meet the needs of all their students by encouraging a transformational approach to teaching local history
Problematic Internet Use and Self-Esteem in Indian School Students: The Mediation Effect of Maladaptive Coping
No full textThe unrestricted internet access among adolescents is a growing global concern due to its association with problematic internet use (PIU), which adversely affects cognitive, emotional, and behavioural domains. This study examines the prevalence of PIU among Indian school students, its relationship with self-esteem, and the mediating role of coping strategies, alongside the influence of gender and meditation practice. Data from 1,000 participants (48.9% male, 51.1% female), aged 12–17 years, from Delhi government schools revealed a high prevalence of PIU. Self-esteem showed a significant negative correlation with PIU, with lower self-esteem predicting PIU (12.7% variance explained). Maladaptive coping partially mediated the self-esteem–PIU relationship. While meditators and non-meditators exhibited similar PIU levels, meditators demonstrated higher self-esteem and adaptive coping. Gender comparisons revealed no differences in PIU and self-esteem, though males used maladaptive coping more frequently. The findings underscore the need for school-based interventions to promote adaptive coping, self-esteem, and mental well-being in an increasingly digital world
The Effectiveness of School-Based Sahaja Yoga Meditation in Dealing with Problematic Internet Use Among Adolescents in India
No full textThe International Journal of Yoga Therapy (IJYT) is an annual peer-reviewed publication that serves yoga therapists, yoga teachers, yoga practitioners, yoga researchers, and healthcare professionals. The journal, which is indexed on PubMed and published by the International Association of Yoga Therapists (IAYT), includes scholarly, academically sound articles related to any tradition or aspect of yoga therapy
Smart Farming Influence on Sustainable Food Supply Chains by Mediation of Precision Agriculture
No full textIn order to address the challenge of improving agricultural sustainability in the face of rising global food demands, the article's primary goal is to investigate the association among smart farming technology and sustainable food supply chains. To find out how smart farming techniques influence sustainability outcomes, the study uses a mixed-methods approach that combines qualitative interviews with agricultural stakeholders and quantitative data analysis. Key outcomes show that crop yields and resource efficiency are greatly increased by the use of smart farming technologies, with precision agriculture serving as a crucial mediator in this association. These outcomes imply that incorporating cutting-edge technologies can outcome in more environmentally friendly farming methods. These outcomes' ramifications underscore the necessity for agricultural stakeholders to make infrastructural and training investments to facilitate the implementation of these technologies and promote a more robust food supply chain