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Whilst motorcycling is an activity of pleasure in most parts of the world, in India, it is a regular mode of commuting. The number of registered motorized two wheelers increased at the rate of 14.7 percent during the year 2016-2017 to reach the figure of 20.19m in 2018. But, with this increase, the number of motorcycle road accidents is also increasing. Uncomfortable riding clothing is one of the major factors for motorcycle rider’s muscular fatigue, which might at times lead to serious accidents. No kinematic human models have been, so far, used for the design of protective, functional and aesthetic looking products, and the result is, hence, a compromised fit that is not protective or comfortable. The purpose of this paper is to develop virtual 3D human body models for specific postures of a motorcycle rider.

Kinematic analysis of a motorcycle rider was conducted to identify typical body postures obtained by the motorcycle rider while mounting and riding a motorcycle. The identified body postures were mapped on a virtual parametric human model to obtain digital model of a motorcycle rider. 3D garment patterns for jacket and trouser were developed on all the four body postures. 3D patterns were flattened out to get 2D flat patterns that were compared and analyzed, and appropriate pattern shapes from each of the four postures were selected. Virtual fit analysis was conducted for the finally garment.

It is well established that a static 2D anthropometry fails to accurately capture the dimensions of complex 3D human form, yielding poor garment fit. Therefore, in this study, virtual, 3D human body models were developed in selected dynamic poses. Garment patterns developed in 3D have the typical movement inbuilt in them; hence, they offer more comfort and ease of motion to the wearer.

The identification of typical body postures of motorcycle rider has not been done before. The CAD models developed in the study can be used for the generation of ergonomic garment patterns for the motorcycle riders.

Ergonomic designs for blouses, worn as a top with the Indian sari, have been proposed to suit the needs of elderly Indian women. A group of 160 women, 65 to 80 years of age, living in Delhi and its satellite towns, were interviewed to identify their clothing needs, preferences and requirements. The results showed that the subjects had difficulty in finding age-appropriate clothing since most clothing available in the market was designed with young people in mind. It was also established that more than 80% of the women wore the traditional Indian sari during the day as well as at night and that they faced major problems with regard to the fit and comfort of blouses worn as a top with the same. Based on the feedback obtained from the subjects, 10 blouse designs were developed using various fabrics and style features for various occasions and activities. Ergonomic features have been incorporated to suit the requirements of a changed body shape and limitations posed on movement, dexterity and strength. Three of the designs have been discussed in this paper in detail.

The knowledge of anthropometric dimensions is necessary for the development of garment patterns. In countries like India, where retailing is expected to see an unprecedented growth in the next few years, the success or failure of a brand depends on the fit of clothing that is offered to consumers. In this study, more than 500 college students from 18-26 years of age were measured. 29 body measurements were recorded and statistically analyzed for the development of upper- and lower-body garment patterns. The entire population was classified into 15 groups on the basis of height and weight which can serve as the basis of developing an accurate sizing system for ready-made garments.

Organic cotton, which is produced without any chemical fertilizers and pesticides, is playing a vital role in creating a less harmful environment. An investigation of the properties of weft knitted fabrics produced from organically made cotton vis-à-vis regular cotton knitted fabric is reported. The yarn is made with both organically produced and regular cotton, and the fabric is knitted by using single jersey machines. The fabrics are subsequently dyed by using natural dyes. The naturally dyed knitted fabrics are examined for shrinkage, bursting strength, abrasion resistance, and colour fastness properties. The result shows that the knitted fabrics produced from organically grown cotton is superior in performance in comparison with fabrics produced from regular cotton.

This paper aims to ascertain Indian consumers’ corporate social responsibility (CSR) perceptions; an affinity for stipulated causes and perceived fit between cause and industry in the current mandatory CSR era in India.

Primary data was collected through an online survey from 1,251 consumers via quota sampling and snowballing, across 36 Indian cities.

The findings indicate no skepticism, positive CSR support and company evaluation. Indian consumers have the greatest affinity for environmental protection. Segments of socially, environmentally and culturally conscious consumers were found. Under quasi-experimental conditions of CSR fit and cause-affinity, positive purchase intention is exhibited across fast-moving-consumer-goods sectors; in which case CSR perceptions cease to have a significant impact on purchase intention.

This result contributes to understanding Indian consumers’ perspective in the mandatory CSR era and adds to the literature on strategic CSR and communication by segmenting consumers by cause affinity.

CSR practitioners could align with consumer-relevant causes that fit with their company’s core business, as controllable initiatives, instead of depending on positive, but less controllable, CSR perceptions of consumers. Implications of the findings on CSR policymaking by the government are also discussed.

The mandatory CSR law has been viewed as a burden by corporate India. This research implies that it may be possible to look at it as an opportunity for strategic CSR, to create a win-win situation for both business and society.

One of the first studies on cause-affinity and CSR fit among Indian consumers using the government stipulated list of causes.

This study aims to investigate the domestic sustainable consumption practices in Indian households and the motivations to do so. These practices also contribute to environment management and its impact on Indian society through the action of reusing, reducing and recycling of consumed products for two generations, namely, the Baby Boomer and the Generation Z.

An exploratory qualitative research was undertaken in which the data were collected through personal interview technique with 64 respondents including males and females from the generations of Baby Boomers and Generation Z of Indian households.

The theoretical framework of the 3R was extended to inculcate broader themes like awareness, action and motivation for the domestic sustainable activities. The findings conclude that the domestic sustainable consumption practices of Baby Boomers in India were far more advanced than their Generation Z counterparts. These two generations differed in their awareness sources, actions of sustainability and the motivations for undergoing the domestic sustainable activities. Managerial implications have been framed for organisations like start-ups, sustainable firms, government organisations and second-hand product vendors. These practices in such organisations could help in the enhancement of circular economy through the domestic waste disposal.

Practical implications are for organisations that can consider the domestic sustainability consumption practices while planning their strategies to maximise stakeholder satisfaction through their corporate social responsibility initiatives and create more goodwill and growth avenues for their businesses.

Where most of the past literature concentrates on the supply chain and manufacturing initiatives of sustainability or sustainable consumption, very few studies look at the angle of domestic sustainability initiative and how they could be linked to the initiative of circular economy. This paper fills this gap in past literature.

The apparel and textile sector poses a significant environmental challenge due to its substantial contribution to pollution in the form of air, water and soil pollution. To combat these issues, the adoption of sustainable practices is essential. This study aims to identify and analyse the barriers that hinder the progress of sustainability in the apparel and textile industry. By consulting experts in the field, critical barriers were identified and given special attention.

To achieve the research objective, an integrated approach involving Interpretive Structural Modelling (ISM) and fuzzy MICMAC decision-making techniques was employed. The results were further validated through the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method.

The findings highlight that barrier related to clothing disposal, inadequate adaptation to modern technology, challenges affecting sector efficiency and issues related to fashion design are crucial in influencing the remaining six barriers. Based on the outcomes of the DEMATEL method, a comprehensive cause-and-effect diagram was constructed to gain a deeper understanding of these challenges.

This research provides valuable insights for policymakers and stakeholders in the apparel and textile industry. It offers a strategic framework to address and overcome sustainability barriers, promoting the development of a more environmentally responsible and resilient sector.

The purpose of this research is to conduct an in-depth investigation of the barriers apparel and textile sectors. It is feasible that both the management team and the medical experts who provide direct patient care could benefit from this research.

Service failure and recovery encounters are often witnessed by other customers, but little is known about how these encounters impacts other customers. With an aim to bridge this gap, the purpose of the paper is to explore why and how service recovery directed at a focal customer impacts other customers who are present in the same service environment.

The paper follows a qualitative research methodology. Purposive sampling was used to collect data from 30 customers through semi-structured face-to-face interviews. The data was analysed using thematic analysis.

Findings of the study show that service recovery directed at a focal customer has an impact on other customers' fairness judgments, emotions, service quality perceptions and behaviour. Other customers' behavioural reactions in response to observed service recovery are driven by two different motives: self-interest and moral obligation. Observing customers' cautious behaviour and (re)purchase behaviour are found to be primarily driven by self-interest, whereas their helping behaviour, punishment behaviour and word-of-mouth behaviour are found to be driven by moral obligation.

This study findings contribute to theory development on “other-oriented” effects of service recovery and provides valuable insights for effective management of service failures in the shared service environment.

This is the first study, which qualitatively explores the “other customers” perspective of service recovery in the context of shared servicescape.

Logistics companies are compelled to improve their efficiency and the environmental performance by introducing the green concept in their operations. The main purpose of the paper is to have continuous monitoring and tracking of logistics operations to enhance the green performance.

This research uses a case study approach. It illustrates a monitoring system to digitize the logistics activities by sending real-time GPS data to the server and capture the surrounding pictures with the help of the internet of things (IoTs) based camera. Data generated through digitization is mathematically analyzed for ensuring a green logistic system. The alerts due to the halts, help in keeping a check on fuel consumption, carbon emissions and security of logistics. Performance indicators such as carbon emissions and the value of travel time saving (VTTS) are selected for the study.

The findings of the study show that the actual travel time and distances are higher than the estimated travel time and distances. It also reveals that actual travel routes with diversions involve a considerably higher amount of carbon emissions during all sample travels. The results indicate a considerable saving in terms of carbon emissions, time and cost savings by effective practices of Green Logistics in Monitoring system (MSGL). These findings can help the top management of logistics companies in formulating effective strategies for technology applications in logistic operations to ensure green performance.

The study has been carried out under certain set of conditions, which may vary depending upon the organizations. Also certain more environmental dimensions for performance monitoring can be used as a future scope of study. Further studies also need to be carried out to widen the scope of the MSGL model at a global level rather than only at local level.

Any organization which deploys transportation as part of their activity can use this MSGL model and then do the mathematical analysis to reduce the CO₂ emissions, reduce the time and extra cost. The value of this study lies in the fact that government is trying different methods and models to reduce pollution. This MSGL should be made compulsory by the government as a part of their policies for environment of the country.

This study aims to highlight the impact of introducing women directors to board committees, thereby empowering them to contribute to decision-making, and as a result, influence firms’ financial performance in an emerging economy.

This study uses a fixed-effects panel data regression model to test the impact of gender diversity on corporate boards as well as board committees on firms’ financial performance. Two widely used diversity measures, the Blau index and the Shannon index, have been used to enhance the robustness of the results.

The findings suggest that gender diversity on prominent board committees (remuneration committee and nomination committee) positively affects firms’ financial performance when measured by the market-based performance measure, but it is insignificant when measured through accounting-based performance indicator. Furthermore, the benefits of gender diversity accrue to the firms only when women are part of prominent committees and are engaged in governance mechanisms, rather than just being appointed on corporate boards as a means of tokenism.

This study is among the first to investigate the relationship between gender diversity and financial performance through the lens of committee assignments. Moreover, the unique cultural and institutional setting offered by India, which is an emerging economy, provides a fertile ground for understanding the role of women leaders in the workforce.