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The purpose of this paper is to scrutinize the severe impact on the abilities of urban poor women such as education skills, entrepreneurship qualities, employment skills, creative abilities and social skills, as they face many challenges like inequitable access to work and unacceptable living conditions influenced by an underlying mind-set in the society driven by gender socialization. Though there have been changes in the way we perceive the abilities of urban poor women from being a homemaker to participating in employment and access to education, one cannot deny that discrimination and bias based on gender socialization still exists in the society.

This paper uses secondary data through a systematic review where the inclusion criteria were framed on the basis of relevance, credibility and heterogeneity. However, as this is a concept paper, the study is bereft of empirical data.

In most cases, the ability and potential of women, such as educational skills, entrepreneurship qualities, employment skills, creative abilities and social skills, go unnoticed or, more often, not taken into consideration. Predominantly influenced by gender roles, not all abilities and skills are associated with women; this kind of labelling process refers to gender socialization. Ongoing in society for a long time to an extent, it has been accepted consciously or subconsciously by men and women. As a result, urban poor women, in particular, are further deprived of their capabilities, directly affecting their personal growth and economic status.

Poverty affects men, women, boys and girls, but it is experienced differently by people of different ages, ethnicities, family roles and sex. Moreover, due to women’s biology, social and cultural gender roles and culturally constructed subordination, they are labelled with specific roles dictated by various social agents; This labelling process refers to gender socialization. As a result, capable women with untapped skills, abilities and potential to learn, work, earn, play and develop are ignored or suppressed; hence, they go unnoticed, further intensifying poverty among poor urban women.

Poverty and stress associated with it have been identified as key contributors to intimate partner violence. This chapter explores intimate partner violence experienced by Malaysian Indian women living in poverty in Penang. Data for this study come from in-depth interviews of 12 women who were categorized as hard-core poor, ordinary poor and vulnerable poor. Most participants experienced some form of violence from their husband; some experienced physical, emotional and verbal abuse, while some experienced only verbal abuse. Low income was the main reason for material deprivation in these households which became worse with substance abuse and extra marital affairs by male partners. Both violence and poverty is part of a vicious cycle, and some male children are following in their father’s ‘footsteps’. Violence is closely tied to patriarchal values and gender relations in family relationships showing how notions of hegemonic masculinity and emphasized femininity play out in everyday life.

This chapter provides the introduction of the book and argues why gender and feminism matter in theory and praxis in the 21st century. It includes the conceptual interrogation of the meaning of gender and feminism and its practice in western and non-western contexts; global currents in feminist struggles; thematic organization of the book; and the future under ‘feminist eyes’. The thread of shared struggles among diverse groups of women based on selected themes — movements, spaces and rights; inclusion, equity and policies; reproductive labour, work and economy; health, culture and violence; and sports and bodies — situates Canada as a western society with avowed egalitarian ideals favouring gender equality and social justice, but with its own issues and concerns like women in other countries facing their own challenges.

The automotive industry appears to overcome much of its obstacles, despite the constant struggle facing COVID-19. The pandemic has resulted in significant improvements in the habits and conduct of consumers. There is an increased preference for personal mobility. In this dynamic environment with unexpected changes and high market rivalry, automotive supply chains focus more on executing responsive strategies with minimum costs. This paper aims to identify and model the drivers to the responsiveness of automotive supply chain.

Seventeen drivers for supply chain responsiveness have been identified from the extensive literature, expert interview. An integrated methodology of fuzzy decision-making trial and evaluation laboratory–interpretive structural modelling (DEMATEL–ISM) is developed to establish the interrelationship between the drivers. The cause–effect relationship between the drivers was obtained through fuzzy DEMATEL technique, and a hierarchical structure of the drivers was developed using the ISM technique.

The result of the integrated methodology revealed that strategic decision-making of management, accurate forecasting of demand, advanced manufacturing system in the organisation and data integration tools are the critical drivers.

This study has conceptual and analytical limitations. In this study, a limited number of drivers are examined for supply chain responsiveness. Further research may examine the role of other key performance indicators in the broad field of responsiveness in the automotive supply chain or other industry sectors. Future study can uncover the interrelationships and relative relevance of indicators using advanced multi-criteria decision-making methodologies.

The authors proposed an integrated methodology that will be benefitted to the supply chain practitioners and automotive manufacturers to develop management strategies to improve responsiveness. This study further helps to compare the responsiveness of the supply chain between various automotive manufacturers.

Development of high efficiency nanofibrous air filter membrane by electrospinning process, to address the air pollution (both the particulate matter and the gaseous components) problem, which has become a major environmental concern.

By exploiting the advantage of active sites on soy protein isolate (SPI), the very high surface area of micro-pore rich activated carbon (AC) and the biocompatibility and biodegradable nature of polyvinyl alcohol (PVA). The authors have developed a SPI/AC/PVA hybrid membrane. Spun-bond nonwoven substrate was used as the support material to enhance the mechanical properties and also the filter handling properties. The properties of nanofibrous membrane including morphology, air permeability, filtration efficiency and formaldehyde absorption test were carried out as per standard test methods.

SPI-based membrane offers a great potential in air filtration/purification applications. Its potential to capture glancing pollutants at the molecular level is because of the presence of numerous functional groups on the soy protein surface, which enhances the adsorption of particulate matter and toxic gases, even bacteria and viruses to its surface.

The results are anticipated to provide a potential method to promote the development of a nanofibrous membrane, which can act as a high performance, dual function and eco-friendly air filter/purifier.

The supply chain (SC) encompasses all actions related to meeting customer requests and transferring materials upstream to meet those demands. Organisations must operate towards increasing SC efficiency and effectiveness to meet SC objectives. Although most businesses expected the coronavirus disease 2019 (COVID-19) pandemic to severely negatively impact their SCs, they did not know how to model disruptions or their effects on performance in the event of a pandemic, leading to delayed responses, an incomplete understanding of the pandemic's effects and late deployment of recovery measures. Therefore, this study aims to consider the impact of implementing Bayesian network (BN) modelling to measure SC performance in the airline catering context.

This study presents a method for modelling and quantifying SC performance assessment for airline catering. In the COVID-19 context, the researchers proposed a BN model to measure SC performance and risk events and quantify the consequences of pandemic disruptions.

The study simulates and measures the impact of different triggers on SC performance and business continuity using forward and backward propagation analysis, among other BN features, enabling us to combine various SC perspectives and explicitly account for pandemic scenarios.

This study's findings offer a fresh theoretical perspective on the use of BNs in pandemic SC disruption modelling. The findings can be used as a decision-making tool to predict and better understand how pandemics affect SC performance.

Recently, interest in sustainability has grown globally in the heavy vehicle and equipment industry (HVEI). However, this industry's complexity poses a challenge to the implementation of generic sustainable supply chain management (SSCM) practices. This study aims to identify SSCM's barriers, practices and performance (BPP) indicators in the HVEI context.

The results are derived from case studies of four multinational manufacturers. Within-case and cross-case analyses were conducted to categorise the SSCM BPP indicators that are unique to HVEI supply chains.

This study's analysis revealed that supply chain cost implications and a deficient information flow between focal firms and supply chain partners are the key barriers to SSCM in the HVEI. This analysis also revealed a set of policies, programmes and procedures that manufacturers have adopted to address SSCM barriers. The most common SSCM performance indicators included eco-portfolio sales to assess economic performance, health and safety indicators for social sustainability and carbon- and energy-related measures for environmental sustainability.

The insights can help HVEI firms understand and overcome the typical SSCM barriers in their industry and develop, deploy and optimise their SSCM strategies and practices. Managers can use this knowledge to identify appropriate mechanisms with which to accelerate their transition into a sustainable business and effectively measure performance outcomes.

The extant SSCM literature has focused on the light vehicle industry, and it has lacked a concrete examination of HVEI supply chains' sustainability BPP. This study develops a framework that simultaneously analyses SSCM BPP in the HVEI.

The balancing of sustainability dimensions is the prime agenda of supply chain organisations. The supply chain sustainability greatly influenced by its freight transport activities. Most of the previous work discussed the economic and environmental sustainability of freight transport industry; although the social sustainability (SS) dimension paid less attention to researchers and practitioners of emerging economies. The purpose of this study is to investigate the importance of SS indicators in the freight transport industry. The SS assessment framework is validated with the Indian freight transport industry.

The proposed framework considers four SS dimension and 25 indicators. The SS indicators’ importance varies with the individual company's prospect. Therefore the proposed framework is used in multi-company perspective as well as in industry perspective to present more realistic results. The importance weight of SS dimension and indicators are computed with a novel multi-criteria decision-making (MCDM) method, i.e. fuzzy best–worst method (FBWM).

The prioritisation of SS indicators in each company perspective is compared with an industry perspective. The contribution to community health and education program is most valuable indicator followed by the prevention of child and forced labour. The model robustness is tested through sensitivity analysis and reported that less variation in indicators’ ranking.

To authors best of knowledge, this is the first study to highlight the importance of SS indicators in the freight transport industry. This study contributes to the sustainability assessment literature by providing a nuanced perception of the SS indicators and put forward managerial implications for improving the SS of the freight transport industry. The proposed framework could be treated as a benchmark for other developing nation's freight transport industry.

The purpose of this paper is to identify and analyze the critical success factors (CSFs) behind the successful implementation of lean-green practices in Indian small- and medium-scale enterprises (SMEs).

The analysis employs two modeling approaches such as interpretive structural modeling (ISM) and interpretive ranking process (IRP) for examining the contextual relationships among the CSFs and ranks them with respect to key lean-green performance areas. A critical review of literature has led to the identification of total 25 CSFs for lean-green implementation. The list is reduced to 18 most relevant CSFs for the context of Indian SMEs based on experts’ (from industry and academia) opinions. The ISM is utilized to develop ten-level hierarchical model of CSFs. In order to gain greater insights into the nature of variables, the matrix of cross-impact multiplications applied to classification (MICMAC) analysis has been conducted.

The results show “Government support” as the most significant to the successful lean-green implementation in Indian SMEs and it is placed at the base of the ISM hierarchy. The CSF “Green disposal initiatives” is identified at the top level of the ISM hierarchy. Further, MICMAC analysis identifies five independent variables, eight linkages variables, four dependent variables and none autonomous variable. This may help SME managers to decide about resource priorities toward successful implementation of lean-green initiatives. Subsequently, the IRP has examined the dominance relationship and identifies “Organizational capabilities” as the most significant CSF.

This research intends to enable practitioners in prioritizing and managing strategic and tactical challenges involved in lean-green implementation in Indian SMEs.

This study makes an initial attempt in analyzing factors critical to successful implementation of integrated lean and green manufacturing practices in Indian manufacturing SMEs using ISM. The analysis is further enhanced by applying IRP to rank the CSFs by investigating the influence lean-green integration on various performance measures.