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Emotion AI and Employee Experience Cloud- Native Tools for Human- Centric Management
The integration of Emotion AI (Affective Computing) into employee experience (EX) management represents a paradigm shift towards human- centric, data- driven leadership. This chapter explores how Cloud-native tools enable organizations to move beyond lagging indicators like annual surveys by analyzing emotional data from digital communication platforms in real- time. It details use cases across the employee lifecycle, from enhancing onboarding to predicting burnout and fostering inclusive teams. However, this transformative potential is accompanied by significant implications. The chapter provides a critical examination of the ethical, social, and managerial challenges, including privacy, algorithmic bias, and the risk of emotional surveillance. It concludes that the responsible adoption of Emotion AI, governed by strong ethical frameworks, is crucial for creating empathetic, supportive, and productive workplaces
Evaluating the multidimensional impacts of micro- and nanoplastics on soil properties, yield, and quality of horticultural crops
Agricultural systems are increasingly facing critical challenges due to terrestrial contaminants that are known as microplastic (MP) and Nano plastic (NP). These minute particles have been scientifically demonstrated to infiltrate soil, water, and air, primarily as a consequence of agricultural practices like the use of plastic mulches, fertilizers, and different systems of irrigation. These particles can penetrate deeper soil profiles, altering microbial activities, nutrient cycling, and soil physical properties. Uptake of MPs and NPs by fruit crops adversely impact food safety, yield, growth, and production. This review comprehensively cover a range of horticultural divisions (strawberries, apples, pears, and citrus), vegetable sector (tomatoes, cucumbers, and peppers), root sector (carrots and radishes), and floriculture sector. There is still some heated debate on the temporary or permanent hoarding power of MPs and NPs in soils, but little information is available on the mechanisms behind MP and NP transportation, biodegradation, and uptake by plants, despite their prevalence. The review typically contains information on the disposal and modes of MP and NP in an agricultural system, as well as the nature of interaction and their general implications on plant and soil health and, by extension, human health and food security. The finding highlights the need for sustained research to develop effective mitigation strategies that reduce the adverse impacts of plastic pollutants, thereby enhancing sustainability and resilience of crop production systems
AI, access to justice, and judicial accountability in India navigating the future
This article examines the incorporation of Artificial Intelligence (AI) within India's judicial system and its implications for access to justice and judicial accountability. It examines contemporary AI uses within India's legal profession, including case management systems, predictive analytics, and AI-enhanced legal research. The research investigates AI regulations within the judiciary, emphasising the challenges related to transparency, fairness, and accountability. It rigorously examines ethical issues such as algorithmic prejudice and the imperative for human supervision. A comparative analysis of AI application in the legal systems of the United States, the United Kingdom, and China is presented, providing insights that may inform India's strategy. The paper concludes with policy suggestions aimed at fostering the judicious implementation of AI within the judicial system. It underscores the significance of transparency, accountability, and ongoing oversight to uphold public trust and guarantee equitable legal outcomes. This paper suggests a balanced approach to integrating AI into the evolving landscape of legal technology, ensuring the preservation of judicial integrity
Impact of ESG Sustainability on Cost of Equity: Meta-Analytic Review Investigating the Moderating Role of Country Characteristics
The objective of the study is to systematically consolidate and quantitatively integrate the divergent findings of ESG sustainability association with the firm cost of equity (CoE) using a meta-analysis approach. Using the institutional theory lens, the research underscores the significance of contextualization of research while discovering the macro-level country factors moderating this relationship. Meta-analytic technique was applied on 50 studies published during the 2011–2024 period, covering 15 countries, 112 effect sizes, and 580,939 firm-year observations. To account for heterogeneity in the dataset, a random-effects model was adopted, and to gauge the impact of country-level moderators, the meta-regression moderator analysis technique was used. The results indicated a positive association between ESG sustainability and cost of equity variables, reinforcing the assumptions of agency and trade-off theory. Using the institutional theoretical lens, the results concluded that the positive ESG sustainability-CoE association is weakened in countries with robust governance environments and high sustainability commitment and performance. Further, country-level investor protection strength was found to have an insignificant moderating impact on the ESG sustainability-CoE association. The results have substantial implications for global regulators and policymakers while framing ESG measurement and reporting standards regulations. The results will also assist managers to strategically plan their investments in ESG-related activities, which may lead to lowering CoE. This research marks the first effort to synthesize and consolidate the existing research on the ESG sustainability-CoE relationship by employing a comprehensive systematic literature review to bring together the dispersed and incongruous results across 50 studies and 15 countries. This research will be an important contribution to corporate and sustainable finance literature
Artificial Creations, Real Rights: Examining Copyrightability of Generative AI Data
Since the launch of ChatGPT by OpenAI, the investment in generative AI has quintupled. While individuals employing these tools are creating novel work every day, the parent companies are generating billions of revenues. With increasing number of high-profile lawsuits relating to Generative AI and Copyright around the world, the paper discusses the concept of copyrightability in the new era of technological advancements. Generative AI undergoes massive training using data to understand images, sounds and visuals. They then respond when prompted by a user.Through this paper the authors discussed the basic concepts of ownership and then examine different scenarios to determine authorship over works generated by AI. Building on established concept like the essential need of human authorship and creativity element to grant copyright to the works of AI, the paper explores and divulge into new doctrines like the “Significant Input Test”. The authors argue that while copying large amount of copyrighted content off the internet and generating new content makes out a case for copyright infringement, the generative AI algorithm is premised on “transformative use” which in turn constitutes fair use. The authors did a comparative study of judicia-legal development around the concept of copyrightability of the content produced by Generative AI focusing on jurisdictions like US and EU, suggesting a way forward for Indian legislature
Net zero transition towards decarbonization in context of energy sector
The study provides an identification and analysis of potential enablers that facilitate transition towards net zero in the energy sector through a Multi-Criteria Decision-Making (MCDM) framework. The identified enablers and causal relationships between them in terms of decarbonization initiatives are studied using the DEMATEL method combined with trapezoidal fuzzy numbers (TFNs). The research design involves an overarching review of thirteen potential enablers to net zero transition within the energy sector, in order of their impact and causality. Top-ranked enablers that would have the greatest impact in achieving the energy transition were carbon pricing mechanisms, waste-to-energy conversion, decentralized energy systems, and circular procurement policies. The research indicates that the enablers show causal pathways that are interconnected and can take place as both causes and effects in the decarbonization framework. Application of the DEMATEL method using TFNs increases the strength of causal relationship derivation. The study adds to the literature on enabling net zero transition in energy and highlights the importance of a conceptual approach involving a combination of policy, technology, and principles of the circular economy. Such lessons can guide policymakers, industry players, and academics in planning and speeding up the process toward sustainable energy systems and world climate targets
Empowering Disability: Bridging The Digital Divide Through Constitutional Recognition in India
Habitual engagement with violent video games does not translate virtual aggression to real-world emotional processing: insights from gaze behaviour metrics
This study examined the effects of habitual violent video gaming on emotional processing, focusing on its impact on the recognition of positive and negative facial emotions. Sixty habitual gamers participated, which included violent video gamers (VVGs; n = 30, Mage = 20.03 years, SD = 0.92), who specifically engaged in playing first-person shooters (FPS), and non-violent video gamers (NVVGs; n = 30, Mage = 21.23, SD = 3.64). Participants completed an emotional go/no-go task requiring them to recognise five basic facial emotions (i.e., happiness, anger, disgust, fear, and sadness). The results showed no difference between VVGs and NVVGs in recognising happiness, with both groups demonstrating higher accuracy and quicker response times for happy faces on go trials and lower false alarm rates on no-go trials. Eye-tracking metrics corroborated this happy-face advantage, showing an enhanced perceptual salience for happiness in the mouth region. In contrast, the recognition capacity for negative emotions was substantially lower regardless of the gaming group. This reduced efficacy was mainly associated with a scattered gaze pattern rather than the desensitisation effects proposed by the General Aggression Model (GAM). Additionally, the study found lower aggression levels in VVGs, suggesting that habitual exposure to in-game violence is not associated with hostile information processing. Overall findings challenge the disproportionate emphasis placed on the negative effects of violent video games, asserting that broader psychosocial factors should be considered when evaluating their impact
Persistence of Unfreedom in Rural Haryana: Evidence from Field Study
Unfreedom refers to work done under some form of coercion and without any remuneration at the prevailing wage rate
Free Trade on Paper, Protection in Practice: How India’s Policy Interventions Hollow Out Trade Liberalisation
Free trade agreements are often presented as stepping stone to trade liberalisation. In practice, their economic effects depend less on negotiated tariff schedules than on how governments deploy domestic policy instruments once agreements take effect. This paper shows how formal tariff liberalisation can be systematically offset through instrument substitution, generating persistent monopoly rents and eroding downstream export competitiveness, using the case of Viscose Staple Fibre (VSF), a critical input in modern apparel production, under the ASEAN–India Free Trade Agreement. Combining firmlevel sales data with international trade prices, we estimate that between 2010 and 2024 this policy regime generated US$2.5–3.1 billion in monopoly rents. Downstream manufacturers bore the cost, as India’s share of global exports of VSF-based yarn and garments declined over the same period. The VSF episode illustrates how governments can comply formally with trade agreements while reproducing protection through domestic policy instruments, with predictable distributional consequences along global value chains