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The Somnath of My Imagination: The Indo-Persian Pluralistic and Cosmopolitan Urbanity of Mirza Ghalib's Banaras
Full text linkBanaras is often recognized today through popular media and even scholarly discourse as a metonym for Hindu India, ignoring its substantial Muslim presence and socio-cultural contributions to the city. My translation of Mirza Ghalib’s (1797–1869) Persian long poem in praise of Banaras, Chiragh-e-Dair (1826), as Temple Lamp in 2022 represents an attempt to showcase a 19th-century Turkic-Indian Muslim poet’s representation of the Hindu holy city. In this close reading of the poem, alongside historical contextualization, I elucidate how Ghalib’s Banaras is both real and symbolic, and transcends the shahr-ashob tradition of Persianate poetry on the city. Ghalib is shown to present readers an outward looking view of the city, linking it to the Persian cosmopolis stretching from the Balkans to Bengal, as well as the Silk route—drawing connections to China—connecting Hinduism to Islam and the Hebraic, and seeing the city of Kashi/Banaras as comparable to the Kaaba and Paradise. Ghalib also uses vocabulary that emphasises the city as one’s country or locus of cosmopolitan belonging and as the place for civilisation, society, and friendship. The city’s close connections to river/ water, forests, spirituality, and the vivacity of its people’s bodies and lives are all highlighted. Ghalib thus provides us with a unique Indo-Persian, composite view of this singular city, albeit from a largely elite perspective. The cross-religious translation of concepts works almost like a kind of conversion, giving this distinctive Hindustani cosmopolitanism a most interesting gloss
Leadership, Faculty Behaviour, and Educational Supply Chain Management: A Systemic Model for Fostering Entrepreneurial Intentions in Higher Education
Full text linkThis paper examines the impact of genuine transformational leadership on entrepreneurial intentions of students in the context of educational supply chain management, based on the Theory of Planned Behavior. The study formulates propositions by reviewing literature on leadership, teacher traits and entrepreneurship education to provide the relationship between leadership and the entrepreneurial innovation intentions, academic optimism and organizational citizenship behavior of the students. It emphasizes the contribution of academic optimism in the explanation of the influence of leadership on teachers and students. The paper provides a unified conceptual framework that may be used in future empirical studies and demonstrates how universities can nurture entrepreneurial attitudes and innovative practices with the help of successful leadership. The results offer useful suggestions to academic faculty who want to foster the entrepreneurial potential of students and suggest the way to conduct research. This work bridges leadership, education management and entrepreneurship, which provides a new approach to innovation promotion among students and enhances the effectiveness of higher education institutions
Can generative artificial intelligence enhance brand performance in tourism? A mixed-methods study integrating service-dominant logic, social exchange theory, and uncanny valley theory
Full text linkGenerative artificial intelligence (GAI) holds transformative potential for the tourism industry, though its effects on brand performance, a critical driver of competitive advantage, remain underexplored. This study investigates the impact of GAI on brand performance in tourism, drawing on service-dominant (S-D) logic, social exchange theory, and uncanny valley theory as theoretical lenses and employing a mixed-methods approach involving interviews and surveys. Qualitative themes include GAI service design, GAI service expectation, tourist engagement, and brand performance, which collectively provide a comprehensive view of GAI’s role in tourism. Quantitative results further reveal that GAI positively influences brand performance, which evidences its impact in tourism, and that anthropomorphism moderates tourist engagement, such that GAI with greater humanlike attributes engages tourists more effectively. In turn, these insights enrich the tourism literature and offer practical guidance for tourism managers in developing future strategies involving GAI
Mapping the Policy-Economic-Technological Barriers in Construction & Demolition Waste: Cause–Effect Insights from a DEMATEL Analysis
Full text linkThe construction activities are done to improve the construction infrastructure, which impacts the social, economic, and environmental sustainability factors. The construction and demolition (C&D) waste management is a big issue that impacts the global economies due to rapid population growth, leading to construction waste generation, thereby affecting sustainable development goal achievement. The construction and demolition waste management have shown barriers to construction management, but very few researchers have explored the intersection through regulatory, financial, and infrastructural challenges, thereby constraining construction waste management initiatives. The research aims to bridge the knowledge gap on construction wastes, including the construction activities that need to be done to improve construction infrastructure, thereby impacting social, economic, and environmental sustainable developments. Adequate knowledge on construction wastes, construction activities to improve construction infrastructure, challenges, barriers to construction wastes, construction wastes, cause-effect diagram, decision-making trial evaluation laboratory, is also explored to obtain the construction wastes management barrier values to understand the results, thereby improving construction wastes management challenges
Studying the contribution of digital economy on entrepreneurship and innovative systems: pathway to sustainable development
No full textThis study aims to investigate the impact of digital economy on fostering entrepreneurship and innovative systems. Through comprehensive analysis, the study identifies potential contributors shaping the digital economy’s involvement to entrepreneurship and innovation systems.The study uses a modified total interpretive structural modeling approach which delves into the complex interrelations between digital economy, entrepreneurial activities, innovation ecosystems and sustainable development objectives. In addition, the authors explain the hierarchical structure and mutual influences among various contributors, highlighting critical pathways and feedback loops.The findings from the study illustrate the contributors of digital economy on entrepreneurship and innovative systems such as “supporting regulatory framework”, “information democratization” and “outreach and awareness” at the bottom level. Furthermore, the study assesses the implications of these findings, including economic growth, job creation, enhanced competitiveness and societal well-being. Moreover, it explores the potential for addressing environmental challenges and fostering inclusive development through digital innovation.By providing a nuanced understanding of the dynamics between digital economy, entrepreneurship, innovation and sustainable development, this study offers actionable insights for policymakers, businesses and stakeholders seeking to leverage digital technologies for long-term socioeconomic progress
Constitution Constipée: Legal Reform Stagnation and Human Rights in Cameroon
No full textCameroon’s constitutional stagnation, metaphorically termed ‘Constitution Constipée’, is deeply rooted in colonial legacies and authoritarian governance structures, which severely limit effective enforcement of economic, social and cultural rights (ESCRs). Although formally recognised, ESCRs remain inadequately protected due to judicial weakness, executive dominance and insufficient regulatory oversight. This article critically analyses how historical and institutional path dependencies have shaped Cameroon’s governance challenges, hindering meaningful ESCRs realisation. Through comparative analysis with Kenya’s and South Africa’s constitutional frameworks, it highlights essential practices including explicit constitutional embedding of ESCRs, judicial independence and active public participation to enhance accountability. The article identifies systemic ESCRs violations in Cameroon, emphasising economic disparities, labour exploitation, educational inequality heightened by conflict and marginalisation of indigenous communities. Strategic recommendations advocate substantial constitutional reforms: strengthening judicial independence through merit-based appointments, explicitly integrating ESCRs within enforceable constitutional provisions, and enhancing public participation through decentralised governance. Recognising the limitations of comparative models, the article proposes context-specific reforms sensitive to Cameroon’s unique socio-political environment, underscoring the need for comprehensive constitutional reform for effective human rights protection
Reimagining Talent Management: Cloud-Native AI Tools for Predictive HR Analytics
No full textThis chapter explores the paradigm shift in Human Resources (HR) from reactive, intuition- based practices to a proactive, data- driven function powered by Cloud-native Artificial Intelligence (AI). It argues that the synergy between cloud computing's scalability and AI's predictive capabilities is fundamental to reimagining talent management. The chapter deconstructs the modern predictive HR tech stack and presents core use cases in acquisition, retention, development, and performance. It critically addresses the imperative of navigating ethical challenges—including bias, privacy, and transparency—and provides a framework for responsible implementation. Ultimately, this evolution empowers HR to become a strategic partner, using predictive analytics to augment human decision- making, mitigate workforce risks, and foster a more adaptive, resilient, and human- centric organization. © 2026 by IGI Global Scientific Publishing. All rights reserved
Infrastructural Intelligence as Sociotechnical Institution: Cloud- Native AI, Power, Governance, and Inequality in the Global South
No full textCloud- native AI tools are impactful in the automation of cognition and organization decision making. This chapter is directed at advancing the sociological concept of infrastructural intelligence that explains how the cloud- based infrastructures of cognitive automation get intertwined, reshaping labor, governance, and global power. This chapter is anchored in the studies of sociotechnical systems, labor process theory, platform capitalism, datafication, and global inequality, and argues that the cloud- native AI represents a change in the infrastructure of automation: moving from isolated, algorithmic processes to extensive, codified, and worldwide systems of cognition. Evidence from logistics, finance, manufacturing, digital labor, and public governance is brought together to show how cloud- native AI is trans forming work and at the same time sustaining geopolitical imbalances. The chapter presents a sociological perspective for understanding cloud- native AI and finally points out the ethical, environmental, and labor aspects that should be considered in future research
Considering the Application of Artificial Intelligence in Society and Assessing the Future of AI
No full textIn this chapter the authors discuss on news applications of artificial intelligence (AI) in real world cases including industry and medical field with extended details. The chapter explores how AI can be easily used to automate the routine processes and improve the operational and functional efficiency of any department in any business sector. Regulations regarding AI is also discussed as one of the emerging concerns in the AI landscape. The chapter also defines different methods where there is a crossover between humans and AIs, be it direct or indirect contact
Mediating role of ethical intention between social norms, code of ethics and ethical decision-making
Full text linkThe aim of this paper is to examine the extent to which the theory of planned behaviour (TPB) can facilitate our understanding of ethical intentions and behaviours among business leaders in low-income country contexts. An ethical decision-making framework based on a combination of social norms and ethical codes not only serves as the pillar for ethical work but also imposes positive changes within organisations, providing them with a core principle to practice in difficult settings like Syria. The current study proposes a mediation model through SEM, based on the results from a large-scale survey study conducted in firms among 200 business leaders working in international companies located in Aleppo and Damascus. The results reveal that subjective norms and codes of ethics positively influence ethical intentions, which in turn predict ethical decision-making behaviour