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The main purpose of taking up this work was to see the influence of metallic nanoparticles on various fabric properties. This paper emphasizes on mechanical, aesthetic and anti-bacterial properties of the polyester, cotton and polyester cotton-blended fabric samples.

Three fabrics, 100 per cent polyester, 100 per cent cotton and polyester cotton-blended (50:50), were procured from the market. They were subjected to mild washing treatment so that the fabrics could be impregnated with copper (Cu) nanoparticles following standard procedure. The characterization of Cu nano-loaded textiles has been done using various techniques such as scanning electron microscopy for surface morphology, X-ray fluorescence spectrometer for elemental analysis and Fourier transform infrared spectroscopy for chemical composition. However in this paper, the focus is on various fabric properties and influence of this treatment on them. Antimicrobial activity was measured as per AATCC 100 quantitative method.

The structural properties showed changes but not major ones. The impregnation of Cu nanoparticles is nothing but a chemical treatment, and it is not uncommon to find reduction in the mechanical properties of the specimen. Here also, the mechanical properties were studied but did not reveal any significant change. The aesthetic properties for cotton fabrics showed an improvement. Improvement in the anti-bacterial activity was observed for all the fabric samples but the improvement in cotton fabric is worth mentioning. Thus, nano treatment imparts anti-bacterial property without hampering the mechanical properties of the parent textiles.

It is usual to find changes in the various properties of the materials subjected to nano treatment or treatment of any sort. Though the fabric samples were subjected to similar treatment, the quantity of nanoparticles taken up by each of them was different. The reason behind this could be the difference in the crystallinity of the fabric samples. Polyester fabric showed the highest resistance, as it was least affected by the nano treatment given. Cotton fabrics composed of cotton fibers are amorphous in nature, hence showed better take-up and hence were more affected by the said treatment.

Cotton fabrics are the most favored fabric, especially in regions with hot climatic conditions. Even though these fabrics are very sought after, they have a major drawback related to the aesthetic appeal of the fabric. These fabrics have very poor resistance to the crease formation, as well as their ability to recover from the external deformation. But the study conducted on the fabric samples has shown favorable results for the cotton fabric. A significant improvement in their aesthetic and anti-bacterial activity was found. At present, textiles with nano finishing fall in niche market due to its higher cost. But finishing with in-house Cu nanoparticles may open up hygiene textiles for consumers at affordable rates.

Cotton is still the most popular natural fiber in most of the tropical and sub-tropical regions. People located in these places have a natural urge to wear fabrics made from cotton fibers. Due to the hot weather, sweating is natural. However, this tends to keep the skin in humid state resulting in various skin problems, as cotton is also prone to bacterial attack. But this work has shown positive results, meaning to say that cotton fabrics show improved resistance to the bacterial activity. Hence, its suitability for hygiene applications may soon become a reality.

It is true that a lot of work is being reported on nano materials and their application to textiles for various reasons. Recently, many reports are available related to finishing of textiles using nanoparticles. However, most of the researchers are using silver nanoparticles for the same. In this work, use of in-house Cu nanoparticles has been done to treat fabric samples, which is more economical than silver nano. Also quantity required to meet desired property with Cu nanoparticles is less than the conventional treatment. This work is a sincere attempt to prepare hygienic common textiles at economical rates using continuous application technique which offers durable efficacy against human pathogenic bacterium.

The purpose of this paper is to report a case study carried out to assess the agility and identify obstacles to agility in a supply chain. A human perception-based framework is used for the calculation of agility. The case study was carried out in a North India-based manufacturing organization.

In this study, the concept of a multi-grade fuzzy logic approach is used. Using this concept, the overall agility index has been determined. The fuzzy logic approach has been used to overcome the disadvantages such as impreciseness and vagueness using a scoring method.

From the analysis, it is observed that the organization on which the study was performed is “very agile.” After evaluating the agility level, the fuzzy performance importance index is calculated, which helps to identify the barriers of agility in the supply chain. These barriers help decision makers to implement appropriate improvement measures for improving agility level. Overall, 11 barriers were identified in the study.

Managers of the contemporary manufacturing organization have to measure the agility level of the organization and identify barriers to agility in order to survive in a competitive environment. The obstacles identified in this study are used to improve the performance of the organization. The enterprise should improve on the weak areas in order to achieve the highest agility level.

The agile supply chain (ASC) enablers proposed by previous researchers are not sufficient for the evaluation of agility of a supply chain. There are a few more ASC enablers such as customer satisfaction, flexibility and adaptability that also play a vital role in making a supply chain agile. Adding these three ASC enablers, a total of seven ASC enablers along with their attributes are being considered for the development of a conceptual model.

Agility is the ability of an organization to adjust its supply chain tactics and operations to respond quickly against altering business environments such as fluctuating demand pattern, supply chain disruption and global competition. An agile organization must possess a promising capability of swiftly responding to dynamic conditions while being cost-effective without compromising the efficiency. Such high-performance adaptability necessitates the role of supply chain managers to maximize the agility of the supply chain through the efficient use of input resources. Therefore, the purpose of this study to reveal a new decision support tool that would allow the key decision-makers to maximize the agility of the supply chain while deploying the input resources more effectively.

In present study, an integrated approach of popular analytic hierarchy process (AHP) and goal programming (GP) has been adopted as a potential solution methodology. AHP has been implemented to allocate the local and global weights to decision variables, whereas GP incorporates the AHP weights into the desired model.

It was found that the proposed decision support tool restricts the value of the decision variables for maximizing the agility and optimizing the usage of input resources. The results obtained from the model validate the objective of achieving targeted agility level within the available resource limitations.

The decision support tool developed in the proposed study offers a systematic and effectively simple approach to supply chain managers with a goal of identifying the degree of focus under each decision variable in the respective manufacturing organizations.

A novel decision support tool has been developed known as an agility control system), which helps the decision-maker to achieve the required agility in the supply chain by controlling the decision variables.

The purpose of this study is to critically examine the scholarly articles associated with the diverse aspects of supply chain agility (SCA). The review highlights research insights, existing gaps and future research directions that can help academicians and practitioners gain a comprehensive understanding of SCA.

The present study has adopted author co-citation analysis as the research methodology, with a view to thoroughly investigating the good-quality articles related to SCA that have been published over a period of 22 years (1999-2020). In this study, 126 research papers on SCA – featuring diverse aspects of agility – from various reputed journals have been examined, analysed and assimilated.

The salient findings of this research are, namely, agility is different from other similar concepts, such as flexibility, leanness, adaptability and resilience; of the 13 dimensions of agility discussed in the literature, the prominent ones are quickness, responsiveness, competency and flexibility; literature related to SCA can be categorised as related to modelling the enablers, agility assessment, agility implementation, leagility and agility maximisation. This research proposes a more practical definition and framework for SCA. The probable areas for future research are, namely, impediments to agility, effective approaches to agility assessment, cost-benefit trade-offs to be considered whilst implementing agility, empirical research to validate the framework and SCA in the domain of healthcare and disaster relief supply chains.

This paper provides substantial insights to practitioners who primarily focus on measuring and implementing agility in the supply chain. The findings of this study will help the supply chain manager gain a better idea about how to become competitive in today’s dynamic and turbulent business environment.

The originality of this study is in: comprehensively identifying the various issues related to SCA, such as related concepts, definitions, dimensions and different categories of studies covered in literature, proposing a new definition and framework for SCA and identifying potential areas for future research, to provide deeper insights into the subject and highlight areas for future research.

The circular economy is a production and consumption model that encourages people to share, lease, reuse, repair, refurbish and recycle existing materials and products for as long as possible. The blockchain-based circular economy is being used in many industries worldwide, but Indian electronic MSMEs face many problems in adopting a blockchain-based circular economy. The research aims to discover the barriers the electronic MSMEs face in adopting a blockchain-based circular economy and pull back from achieving environmental sustainability in their operations.

Fifteen barriers are identified from the literature review and finalized with experts' opinions. These barriers are evaluated by using interpretive structural modeling (ISM), MICMAC analysis and fuzzy TOPSIS method.

Lack of support from distribution channels, lack of traceability mechanism and customer attitudes toward purchasing remanufactured goods are identified as the most critical barriers.

The study will benchmark the electronic MSMEs in achieving environmental sustainability in the blockchain-based circular economy.

It is a study that not only establishes a hierarchical relationship among the barriers of blockchain adoption in Indian electronic MSMEs but also verifies the results with fuzzy TOPSIS method.

Blockchain can track the material from the manufacturer to the end customers. Therefore, it can ensure the product's authenticity, transparency and trust in the retail supply chain (SC). There is a need to trace and track the retail products before it reaches the customers to check the quality of the products so that expired products can be recycled and reused, which in turn will help gain customers' trust. This research aims to investigate retail employees' behavioural intention to adopt blockchain in the retail SC.

To examine the behavioural intention of employees in the retail SC, the research uses three theories – the technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour. The technology acceptance model measures the employee's acceptance of blockchain in the retail SC. The unified theory of acceptance is used in this research to measure how blockchain adoption will improve the performance of the employees. The theory of planned behaviour is used in this research to measure whether the employees intend to adopt blockchain. A survey was carried out in the retail stores of India. Exploratory factor analysis and structural equation modelling were used for data analysis.

This study found that the employees of the retail stores have a positive intention and attitude to adopt blockchain technology. Further, it was found that perceived behavioural control and effort expectancy was not promoting blockchain adoption in the retail sector.

This study will help the retail stores' employees understand the blockchain in their operations and will motivate the top management of the retail companies to adopt this technology. The study is limited to the retail SC in India only.

This study uses three theories technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour, which were not used in earlier studies of blockchain adoption in the retail SC.

The micro, small and medium scale enterprises (MSMEs) faced various challenges in the ongoing COVID-19 pandemic, making it challenging to remain competitive and survive in the market. This research develops a model for MSMEs to cope with the current pandemic's operational and supply chain disruptions and similar circumstances.

The exhaustive literature review helped in identifying the constructs, their items and five hypotheses are developed. The responses were collected from the experts working in MSMEs. Total 311 valid responses were received, and the structural equation modeling (SEM) approach was used for testing and validating the proposed model.

Critical constructs identified for the study are-flexibility (FLE), collaboration (COL), risk management culture (RMC) and digitalization (DIG). The statistical analysis indicated that the four latent variables, flexibility, digitalization, risk management culture and collaboration, contribute significantly to the firm performance of MSMEs. Organizational resilience (ORS) mediates the effects of all the four latent variables on firm performance (FP) of MSMEs.

The current study's findings will be fruitful for the manufacturing MSMEs and other firms in developing countries. It will enable them to identify the practices that significantly help in achieving the firm performance.

The previous researches have not considered the effect of “organizational resilience” on the “firm performance” of MSMEs. This study attempts to fill this gap.

The purpose of this study is to categorize and analyse the drivers and barriers of Lean Manufacturing (LM) and subsequently, based on the structural model develop a house of lean management which will give an idea to the academicians and practitioners about the factors that are critical to implement lean practices in an organization.

A list of drivers and barriers was prepared based on the literature review and opinions from experts. Total Interpretive Structural Modelling (TISM) was utilized to build a structural hierarchy of the drivers and barriers of LM. The structural hierarchy was utilized to build the house of lean management.

Based on the hierarchy developed, the elements (drivers and barriers) of LM are classified into three groups: bottom-level, middle-level and top-level elements. To develop a house of lean management, bottom-level of elements were considered as a foundation, middle-level elements were considered as pillars and top-level elements were considered as a beam. Finally, foundation, pillars and beam of the house were used to support the roof (which is value to customers and profitability to firm).

The outcome of this research can assist researchers as well as practitioners to enhance the significant drivers and to reduce the impact of hazardous barriers for the better implementation of lean practices.

This research is a novel approach, as it visibly demonstrates both the drivers and barriers, examines the interrelationships among them in order and shows them pictorially as the house of lean management.

This paper aims to interpret the multidimensional Asian American identity of immigrant Indians in terms of pan-ethnicity, gender and religion.

The social construction and experience of race in the US and the intersection of multiethnic Asian American identity with race, gender and religion will be used in critically commenting on the interview of primary ethnic identity of Indian Americans including the pan-ethnic identity of Indians in the US as Asian Americans, the Mar Thoma Church community, the second-generation Patel family's union formation in terms of gender identity.

The future directives include Asian American Movement (AAM) which is trying to incorporate Indians as pan-ethnic identity assimilation and the process of holding American identity as primary identification of Indians.

Policy recommendations are that the US Census Bureau should include Indian Americans as separate ethnic identity for Indian immigrants like the Chinese Americans. USCIS (US Citizenship and Immigration Services) should reform policies to include the wives of H-4 visa holders. The Department of Homeland Security (DHS) should provide secure living environment for Indian immigrants. The US Department of Labor should provide equal opportunities for women in their immigration policies.

This paper will critically analyze the interview results of primary ethnic identity and justify the hypotheses of Asian American identity of Indians, whether (1) they merge with the American identity as part of cultural assimilation or (2) retain their Asian identity beyond Americanized identity or (3) go beyond both American and Asian identity to restate their Indian ethnicity.

This research investigates the adoption of the industrial Internet of things (IIoT) in SMEs to achieve and increase organizational performance. With the latest technology, small and medium-sized enterprises (SMEs) can create a competitive edge in the market and better serve customers.

Twelve hypotheses are proposed for this study. This study constructed a questionnaire based on technological, organizational, environmental and human perspectives. A survey is conducted on the SMEs of India using the questionnaire.

Eight hypotheses were accepted, and four hypotheses were not supported. The hypotheses rejected are infrastructure, organizational readiness, internal excellence and prior experience. The findings suggested that adopting IIoT in SMEs will increase organizational performance.

This study will be helpful for the manager, top management and policymakers. This study identified the areas SMEs need to work on to adopt the technologies.

In the literature, no article considered IIoT adoption in SME firms as a human factor. Therefore, this study is unique, including human, technological, organizational and environmental factors.