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In recent years, researchers and practitioners have paid a great deal of attention to the circular economy (CE) due to its potential social and environmental benefits. However, limited attention has been devoted in the literature to studying the barriers to CE implementation in the apparel retail industry in emerging and developing nations besides China. Consequently, the purpose of this paper is to analyse the barriers to implementing CE in the Indian garment retail market.

This exploratory study uses a comprehensive literature analysis to identify the micro-level impediments to CE adoption in India's garment retail industry. The study aims to identify these barriers using a Delphi process, consisting of three stages. The first stage involves literature reviews and expert opinions, while the second and third stages involve survey methods with 14 industry professionals and academics. The use of the two primary data sources allows for triangulation of the data, which improves the validity of the findings and enables broader conclusions to be drawn from the results.

This study indicates that the top three challenges to implementing CE principles in the Indian apparel retail industry are “standards and regulation barriers” (84%), “strategic barriers” (82%) and “supply chain management and technology barriers” (79%). Strategies for overcoming these obstacles include gaining top management support, coordinating supply chain components, training and employee motivation.

This study considers only Indian apparel retail industry, and the practical implications could potentially limit the study to emerging Asian economies.

To the best of the authors’ knowledge, this is the first research of its type to explore CE obstacles at the organizational level in the Indian garment retail business. Thus, it contributes to a greater understanding of the topic and enables practitioners to develop effective policies and business strategies for CE and sustainability.

Body positivity movement empowered plus-size women globally to speak up boldly about their clothing needs. Retailers cannot satisfy this group with some classic style offerings anymore. By taking clue from existing literature, this study aims to identify clothing preferences and problems related to ready-made plus-size clothing in India. Although many past literature pointed out about poorly fitted and size unavailability issues worldwide, very few of them addressed about clothing style preferences.

A self-administered close-ended questionnaire was used to answer a set of objectives. A pilot study with 40 plus-size women was carried out to check the reliability and validity of the instrument. Four hundred subject's data were gathered from six Indian cities with a purpose of varied geographical importance. Statistical tests like binomial distribution was used to analyze fit-related problems of 12 bodily sites such as shoulder, upper arm, lower arm, bust, waist, stomach, abdomen, hip, thigh, lower leg, armhole and elbow, and frequency charts were used to examine Likert scale data of sizing problems. The choices of 12 clothing styles were mapped through four factors which affect the purchasing decision of a plus-size woman.

Poor-fitted clothes at 10 body sites out of the 12 reflected about the fit aspect of plus-size clothing in India. Findings associated to sizing issues like unavailability of trendy clothes in appropriate sizes, which also adorn Indian curvy figure, shows synonymy to the worldwide researcher's findings related to sizing chaos. Classic silhouettes like Straight Indian kurti, A-line dresses and regular-fit trousers were majorly preferred by women. Hiding body bulges was mostly preferred while purchasing loose-fitted garments, and fitted garments were preferred only if these suits to the curvy body proportion. Appropriate fit and size availability are always a prime requisite for this class of women.

The outcomes of research will help Indian retailers/manufacturers to update their patterns in order to provide desired fit. In this lacuna of standard size chart, the study will add value in the development of Indian plus-size women's size chart. The factor mapping with clothing preferences will be useful to reduce rejections and inventories.

The case on Moodcafe captures the journey of the start-up and its entrepreneurs from the beginning till the fund-raising stage. The case brings forth critical decisions that each entrepreneur or the team of co-founders have to address during their start-up journey. This short case gives opportunity to delve into two aspects mainly a) As a founder, which investor should one choose for seeking funds and what should be the terms and conditions of investment? and b) How can one review and assess the business model of a start-up?

The purpose of this paper is to explore the skill mapping process in a manufacturing organization and to examine its relationship with the select performance indicators, such as quality and defects. This paper also explores the role of the supervisor in the whole process of skill mapping of the blue-collar employees.

The study uses a case-based approach and the company selected is Mahindra and Mahindra Ltd, Swaraj Division, located in Phase 4, Industrial Area, Mohali (Punjab). The qualitative aspect of the paper is based on ten semi-structured interviews of the senior-level managers. These interviews are conducted in order to understand the role of the supervisor in skill mapping process and its relationship with the organizational performance. The quantitative aspect is based on the regression analysis to find out the impact of skill index on select performance indicators.

The results of the study indicate that the role of the supervisor in performance appraisal is very important in the whole process of skill mapping. Swaraj is an example where a robust skill mapping process for blue-collar employees have supported the business in improving the skill of employees and consequently supporting the business to perform well on key deliverables, such as better quality and less defects. The select variables are inter-correlated and variations in the select organizational performance indicators (production and defects) are due to variations in the skill index of the blue-collar employees in the manufacturing organization. The performance indicators of the manufacturing organization in terms of manufacturing defects have declined and also the production has increased, which is a good indicator for the organization.

The present study is of interest to researchers who are trying to understand the system for skill mapping and utilization of appraisal inputs in improving organizational performance.

To the authors’ best knowledge, this paper is one of the first to address the skill mapping process in a manufacturing organization especially for the blue-collar employees.

Graduates' attitudes towards learning, although subject to change, is a crucial indicator of their understanding and involvement in lifelong learning activities. The purpose of this paper is to explore whether lifelong learning enhances human capital worth to predict perceived employability. An enquiry into the attitudinal differences on lifelong learning among male and female students was also looked into.

An empirical examination using Warp-PLS was conducted on the propositions among 286 engineering graduate students in Kerala, India, from January 2020 to March 2020.

The Warp-PLS examination reveals a positive association between lifelong learning and perceived employability and warrants the mediating role of lifelong learning in the association between human capital and perceived employability. A gendered variation on attitudinal differences towards lifelong learning is also looked into, and no difference between males and females is found.

The impact of lifelong learning on employability has been conceptually discussed before. This paper is the first attempt to empirically prove the same with a proper theoretical explanation.

This paper aims to investigate two control mechanisms on the two parameters, namely, spindle speed and tool pin position, while performing friction stir welding (FSW) for aluminium metal matrix composites (Al-MMC) using the concept of system identification.

FSW is a feasible choice for joining of Al-MMC over the fusion welding due to the formation of the narrow heat-affected zone and minimizing the formation of intermetallic compounds at weld interface. The goal in FSW is to generate enough thermal energy by friction between the workpiece and rotating tool. Heat energy is generated due to mechanical interaction because of the difference in velocity between the workpiece and rotating tool. The generated heat is proportional to the tool pin position and the spindle speed. In the present work, a Smith Predictor Control scheme and adaptive control scheme are developed during joining of Al6061/SiC/B4C Al-MMC by FSW. Adaptive controller is developed to control the tool pin position while Smith Predictor control is developed to control the spindle speed. Initially, the Al-MMC plates are prepared at five combinations of SiC and B4C reinforcements and welded at three level parameter settings followed by tensile testing. The experimental data are used in estimating the plant transfer function model using system identification. The control schemes are then developed for the estimated plant model and the same are validated using a standard PID controller. In both the control schemes, PID controller results in a sluggish response. Experimental validations are performed for the developed control schemes followed by microscopic studies of the weldments.

In both the control schemes, PID controller results in a sluggish response. Experimental validations are performed for the developed control schemes followed by microscopic studies of the weldments.

Results from the study concluded that the developed MRAC and Smith predictor scheme effectively controlled the vibrations and spindle speed effectively.

It is observed that the scanning electron microscopy micrographs of the Al-MMC’s welded using developed control schemes resulted in good boding with homogenous distribution of reinforcement particles.

This paper aims to investigate the effect of surface roughness (radial and azimuthal) and viscosity variation on a squeeze film of a conical bearing with a non-Newtonian lubricant by using Rabinowitsch fluid model.

The main objective is to determine the stochastic nonlinear modified Reynolds equation for rough conical bearing. Later, first-order closed-form solutions are obtained using a small perturbation method and are numerically solved using the Gauss quadrature method.

The findings of this paper, numerical calculations, are analyzed for pressure, load carrying capacity and response time. The simulated results indicate that the influence of surface roughness increases the pressure, load carrying capacity and response time, whereas the viscosity variation factor decreases the pressure, load and response time.

According to both types of surface roughness with viscosity variation, the performance of a squeeze film rough conical bearing was improved by using Rabinowitsch fluid model. As it is inevitable to consider viscosity variation for bearing designer, it leads to a long life period of conical bearing.

Blockchain technology (BCT) has emerged as a powerful tool for enhancing transparency and trust. However, the relationship between the benefits of BCT and agri-food supply chain performance (AFSCperf) remains underexplored. Therefore, the current study investigates the influence of BCT on AFSCperf and sustainability issues.

Through a comprehensive literature review, various benefits of BCT are identified. Subsequently, a research framework is proposed based on data collected from questionnaire surveys and personal visits to professionals in the agri-food industry. The proposed framework is validated using partial least square structural equation modelling (PLS-SEM).

The findings reveal that BCT positively impacts AFSCperf by improving traceability, transparency, food safety and quality, immutability and trust. Additionally, BCT adoption enhances stakeholder collaboration, provides a decentralised network, improves data accessibility and yields a better return on investment, resulting in the overall improvement in AFSCperf and socio-economic sustainability.

This study offers valuable practical insights for practitioners and academicians, establishing empirical links between the benefits of BCT and AFSCperf and providing a deeper understanding of BCT adoption.

Stakeholders, managers, policymakers and technology providers can leverage these findings to optimise the benefits of BCT in enhancing AFSCperf. Moreover, it utilises rigorous theoretical and empirical approaches, drawing on a multidisciplinary perspective encompassing food operations and supply chain literature, public policy, information technology, strategy, organisational theory and sustainability.