The hotel has the responsibility to ensure the safety of the guest

The hotel industry in India is growing rapidly. Hotels are trying their best to provide a comfortable stay to their guests, but there have been many cases of deficiency in service. Today we will analyze the rights of hotel guests and the respective responsibilities of hotels in the light of decisions given by consumer courts

Explainable artificial intelligence approach to predict student entrepreneurial competency

This research employs LightGBM and Explainable Artificial Intelligence (XAI) to forecast entrepreneurial competencies in university students, utilizing a dataset comprising 219 responses from university students. The research processed a diverse dataset by integrating standardization and One-Hot Encoding, resulting in 22 predictive features. The LightGBM model demonstrated a promising accuracy of 71%, with distinct precision and recall metrics. Applying XAI methods like LIME and SHAP, the study ensures interpretability and transparency in model predictions, which is crucial for educational policy and curriculum development. The research underscores the significance of data-centric methodologies in evaluating entrepreneurial skills, which is essential for adapting academic frameworks to current economic landscapes. The outcomes are designed to guide educators and policymakers, supporting and cultivating entrepreneurial talent conducive to innovation and societal advancement

Beyond data: India must aim for AI sovereignty

Artificial Intelligence (AI) is reshaping global power, with nations investing heavily to dominate the AI-driven future. The United States (US), China, and the European Union (EU) have secured strategic control over AI, yet India is playing catch-up despite its digital strength. While data sovereignty has been debated, India must now prioritise AI sovereignty—ensuring complete control over AI development, deployment, and benefits

Can prescriptive analytics empower metaverse for sustainable operations and supply chains? A text mining and introspective analysis

Purpose The arrival of the Metaverse is expected to revolutionize organizational practices, which substantially impact sustainability in logistics and supply chain. In addition, prescriptive analytics-based methodological improvements might make Metaverse self-sustaining. This study assesses the current reflective discussion about the function of prescriptive analytics in Metaverse. It proposes alternative streams for additional research in this area so that we can understand the relationship between Metaverse, prescriptive analytics, sustainable operations and supply chain. Design/methodology/approach We use structural topic modeling (STM), a text-mining approach, to critically assess the literature and analyze 161 articles. Findings Primary and secondary topics were developed using STM findings for comparison. Also, a research framework is created by sketching out the study following the findings of the review. Finally, we conclude with a list of unanswered research issues that might serve as a starting point for future investigations into the role of prescriptive analytics in empowering Metaverse for sustainable operations. Originality/value This study provides original insights into how prescriptive analytics can drive sustainable operations through Metaverse, offering a roadmap for future empirical research in this emerging area

Which Intelligible Words? Reading Femicide Through Rancière’s Concept of ‘La Mésentente’

While Jacques Rancière’s concept of the political, democracy, emancipation, equality and aesthetic have significantly (re)shaped many recent debates, his notion of dis-agreement—in its French formulation of ‘mésentente’, meaning the fact of not hearing, and/or of not understanding—has received relatively little attention. This article argues that if politics, as Rancière suggests, arise from a novel perceptual universe and if dis-agreement entails not-hearing and/or not-understanding, then “speaking politics”—the very act of breaking away from the dominant configuration of the police order—might be perceived as a noisy sound rather than as coherent and intelligible words. Drawing on Rancière’s concept of mésentente, this article examines the noisy, and largely unintelligible, protests sparked by the violent femicide of Giulia Cecchettin which occurred in Italy in 2023. Ultimately, it raises the following questions: which words are intelligible? Does intelligibility depend on the voice of the speaking subjects? Or does it hinge on the (un)familiarity of the vision they project? How can acts of politics be recognized if the words used are unintelligible

Income disparities and environmental dynamics: Exploring varied impacts of renewable energy, innovations, and economic growth on CO2 emissions

The study explores the moderating effect of income on the long-run interrelationships between energy consumption, economic growth, and environmental degradation to test the environmental Kuznets curve (EKC) hypothesis. Data for 190 countries across 1990–2020 is divided into three panels, based on the World Bank classification. The study employs the second-generation pooled mean group (PMG), augmented mean group (AMG) and common correlated effects mean group (CCEMG) estimators that account for cross-sectional dependence and slope heterogeneity among panels. Bidirectional associations among variables are analyzed via the panel Granger-causality test of Dumitrescu and Hurlin (2012). Findings suggest a linear association between economic growth and CO2 emissions for LICs, providing evidence against the EKC hypothesis. Nevertheless, the EKC hypothesis is validated for MICs and HICs, indicating the decoupling of growth-environment associations at higher income levels. Consequently, HICs have reached their inflection point in 2014, whereas MICs are expected to reach their inflection point by 2053. Further, nuclear energy is negatively associated with CO2 emissions for MICs and HICs, but not for LICs. Innovations magnify the mitigating effects of renewable energy for all income classifications. The Granger-causality analysis depicts mixed causalities, indicating differential effects of income on the energy-growth-environment nexus

Lived experiences of problematic internet use among male adolescents: A qualitative study

Background: In the era of globalization, constant Internet access has led to problematic Internet use (PIU) among adolescents, negatively impacting their cognitive processes, emotions, and behavior. Objective: This qualitative study explores the effects of PIU among 15 self-identified male adolescents, aged 10 to 14 years (median age = 14.1), from northern Indian cities through the lens of transcendental phenomenological inquiry. Methods: Through purposive sampling, homogeneous groups were formed, and data were collected via semi-structured interviews, which were analyzed using Giorgi’s method. Results: Four themes have emerged: antecedents of PIU (psychological vulnerabilities, social influence, and validation), PIU symptoms (cognitive and behavioral preoccupation and compulsive behavior), consequences of PIU (psychological, physical, interpersonal, academic, and positive impacts), and desire to change (recognition of negative impact, seeking support, and exploration of strategies). Conclusion: The study highlights the severe negative consequences of PIU and the need for urgent psychosocial interventions, and most adolescents expressed a desire to change their PIU

Reviewing the romance of leadership literature: A trivializing, underdeveloped love affair?

Despite growing recognition of collaborative forms of leadership, the romance of leadership still influences people's perceptions of effective leadership. People perceive leaders as heroic figures capable of positively transforming organizations/nations or villains responsible for adverse outcomes despite contextual and other factors. The unprecedented changes in the world of work, such as the rise of remote work, flexible work arrangements, and artificial intelligence, have transformed leader–follower dynamics and call for a reevaluation of the romance of leadership's theoretical and methodological foundations. This paper systematically reviews recent research on the romance of leadership and identifies two core themes: a sustained prevalence of leader romanticism and the risk of trivializing the nature and contextual embeddedness of leader romanticism and thus simplifying its theorizing, which also may pose ethical challenges for the domain. The paper organizes the review's findings in an integrative romance of leadership process, highlighting the narrative foundations of romanticism and its building, continuance, and sustenance, as well as the moderating and influencing processes, integrating it with Weiner's seminal work on the judgment of social responsibility. The paper ends with suggestions for future research directions to better understand the romance of leadership in a changing organizational and societal landscape

How Can Artificial Intelligence Enable Sustainable Development Goals?

The Sustainable Development Goals (SDGs) see AI at their core, as it drives innovation across various sectors. Using the data from social, environmental, and economic domains, AI interventions can generate cross-cutting waves to drive the achievement of many of the SDGs together. This chapter focuses on the specifics of good health promotion as well as disease detection and prevention using artificial intelligence, with an emphasis on breast and cervical cancer. It also explores the role of AI in Africa in the development of proper institutions that are essential for peace, justice, and the rule of law. The chapter describes several topics, including the incorporation of AI with blockchain to improve voting systems and other essential fields

Recent advances in silver nanoparticles‐catalyzed reactions

This review article provides a detailed summary of current advances in the field of heterogeneous catalysis using silver nanoparticles. The applications of Ag nanoparticles have received a lot of attention over the past few years. The simple synthetic protocols and their green chemistry approach have raised the popularity of novel nanocatalysts. Moreover, the efforts of various researchers to make suitable support for catalysts (carbon azides, mesoporous Ag/mCTFs, reduced graphene oxides, NHC polymers, carbon nanofibers, knitting aryl network polymers, etc.) have introduced the flexibility of the nanoparticles. Their applications have been reported in a varied number of reactions, being reduction, epoxidation, cyclization of alkynes, N-alkylation, CO2 incorporation, photochemical reactions, Diels–Alder cycloaddition, and Suzuki–Miyaura cross-coupling used in production of several physiologically and therapeutically significant compounds. This review provides the relevant information from the research through the past few years, required for the advancements and further research on the catalytic ability of silver nanoparticles