Abstract

This study investigates the growth of the gig workforce of India, with 15 million gig workforce, accounting for 1.25 percentage of GDP and forecasted growth of 23.5 million by 2030 and 62 million by 2047, with a vision 2047 policy. Analysing with a mixed methods approach, using thematic coding of semi-structured interviews of 23 gig workers of Delhi finding seven themes (Economic stability, online platform policies, government policies, job security, flexibility of work, gig economy, and irregular work availability) along with demographic features the paper also integrates findings from Secondary sources of Periodic Labour Force Surveys, NITI Aayog, and International Labour Organisation Press releases. Simulation and Application of theoretical frameworks of Labour Process Theory (Algorithmic deskilling theory), Platform Capitalism (Data Mining theory), Dual Labour Market (Secondary segmentation theory), and Precarity theory, showing the ability of gig workers, ignores flexibility risk, and risk transferring theory, finding gig sharing increases risk with flexibility. November 2025 Labour Codes formalise the protection of gig workers through contributor contributions of 1-2 percentage turnover, improving job security and economic stability without changing job status, with implementation challenges. The conclusion shows that gig sharing does not displace conventional job formation, just like Oyer 2020, with varied gig worker forms, such as decreased productivity of aged workers. Theory Explanation questions conventional frameworks, and Managerial and Application parts suggest the need for HRM change towards adaptability, with Application parts emphasising the need for inclusivity.

Keywords

gig economy, indian labour market, platform work, labour codes, precarity, and economic stability.

Abstract

Mathematics plays a vital role in the economic, scientific, and technological advancement of modern societies and, consequently, remains a central component of educational curricula worldwide. Despite its importance, mathematics anxiety has long been recognised as a significant barrier to student achievement, particularly during the secondary school years when learners face abstract reasoning, standardised assessments, and heightened societal expectations. Mathematics anxiety is often described as fear, avoidance, and aversion toward mathematics. It is frequently conceptualised as a phobia that triggers negative responses to learning or performing mathematical tasks, ultimately hindering academic performance. However, in the 21st century, this problem has become more pronounced due to technological integration, changing pedagogical practices, and global educational demands. Addressing this issue is crucial to helping students reach their maximum academic potential. The present study explores the multidimensional factors that contribute to mathematics anxiety among secondary learners. Moreover, it highlights evidence-based strategies for teachers to use to mitigate mathematics anxiety and foster mathematical resilience and positive attitudes towards the subject among secondary learners. Drawing on secondary sources, the paper synthesises existing research to identify contributing factors and propose evidence-based strategies to address mathematics anxiety. By focusing on strategies that reduce anxiety and strengthen learners’ problem-solving abilities, the paper ultimately aims to improve mathematical outcomes and reduce educational gaps in secondary education.

Keywords

mathematics anxiety, strategies, mathematical resilience, and secondary stage learners.

Abstract

The Indian handloom industry represents a vibrant part of the Indian Knowledge System (IKS), blending cultural heritage with economic livelihood. Despite its traditional significance, the sector faces increasing quality control and sustainability challenges in the modern global market. This paper proposes a Fuzzy Economic Acceptance Sampling Plan (FEASP) to enhance product quality while promoting economic and environmental sustainability. By incorporating fuzzy logic to address imprecision in quality assessment and applying cost-based decision functions, the proposed approach enables efficient inspection processes while minimising risks associated with uncertain product characteristics. The methodology involves defining acceptance criteria using triangular fuzzy numbers and analysing total cost components under uncertain quality levels. A case-based application is presented for handwoven cotton sarees produced in a traditional Indian weaving cluster. The results show that integrating fuzzy logic into the economic acceptance sampling framework provides flexible, risk-aware, and cost-effective solutions, preserving traditional knowledge while supporting sustainable development goals. This interdisciplinary contribution demonstrates how statistical tools can be adapted to support quality in indigenous industries, ultimately strengthening the resilience of India’s cultural and economic systems.

Keywords

fuzzy logic, economic sampling plan, indian knowledge system, handloom, sustainability, quality control, and cost optimisation.

Abstract

Public-private partnerships (PPPs) are growing to become more popular despite the dynamic demands for sustainable infrastructure. Nonetheless, short-term delivery and linear asset lifecycles continue to be given priority in current models.  The study investigates how public infrastructure projects’ long-term sustainability, adaptability, and value can be increased by incorporating whole-life asset management and circular economy (CE) principles into PPP frameworks.  The project’s goal is to produce information that will be helpful in combining PPP incentives with more general social, economic, and environmental goals.

Methodology: The study synthesises theoretical and practical advancements in PPP whole-life management and circularity integration by drawing on a wide range of case studies, international policy frameworks, and scholarly and industry literature. It uses a qualitative system analysis to identify barriers in the process of implementation as well as organisation, technology, financial, and governance.

Findings: Traditional PPP practices often neglect asset longevity, adaptability, and resource recovery, which leads to societal outcomes that are not ideal. Integrating the principles of a circular economy and whole life asset management perspectives improves environmental and social value, decreases waste and lifecycle costs, and improves the performance of the asset. Reimagining contract structures, using different metrics to its advantage, and encouraging digital innovation through the use of blockchain and BIM creates adaptable collaborative partnerships that balance the interests of conflicting stakeholders necessary for success.

Practical Implications: Policymakers can support the circular economy along with whole-life PPPs by changing procurement and performance standards, encouraging the usage of digital infrastructure, and increasing the capacity in both public and private sectors. Professionals should prioritise risk management, stakeholder engagement, usage of data-driven information, and flexible contracts with lifecycle incentives.

Keywords

sustainable infrastructure, circular economy, whole-life asset management, ppps, lifecycle approach, contract innovation, and digital transformation.

Abstract

The present study examined the relationship between Professional Commitment and Family Environment among secondary school teachers in Kanyakumari District. The objectives of the study were: (1) to determine the level of Professional Commitment among secondary school teachers, (2) to assess the level of Family Environment among secondary school teachers, and (3) to analyse the relationship between Professional Commitment and Family Environment. The study adopted the normative survey method, with a sample of 150 secondary school teachers from Kanyakumari District. The instruments used were the Professional Commitment Scale (developed by Anisha J.S. and Dr K.R. Selvakumar, 2024) and the Family Environment Scale (developed by Balamurugan and Prof. M. Govindan, 2019). Data were analysed using percentage analysis, mean, standard deviation, Pearson’s Product-Moment Correlation, t-test, ANOVA, and Scheffé’s test. The findings revealed that: (1) the level of Professional Commitment among secondary school teachers was moderate, (2) the level of Family Environment among secondary school teachers was moderate, and (3) there existed a low positive correlation between Professional Commitment and Family Environment.

Keywords

professional commitment, family environment, and secondary school teachers.