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The purpose of this study is to quantify the impact of the variation of microstructural features on macroscopic and microscopic fields. The application of multi-scale methods in the context of constitutive modeling of microheterogeneous materials requires the choice of a representative volume element (RVE) of the considered microstructure, which may be based on some idealized assumptions and/or on experimental observations. In any case, a realistic microstructure within the RVE is either computationally too expensive or not fully accessible by experimental measurement techniques, which introduces some uncertainty regarding the microstructural features.

In this paper, a systematical variation of microstructural parameters controlling the morphology of an RVE with an idealized microstructure is conducted and the impact on macroscopic quantities of interest as well as microstructural fields and their statistics is investigated. The study is carried out under macroscopically homogeneous deformation states using the direct micro-macro scale transition approach.

The variation of microstructural parameters, such as inclusion volume fraction, aspect ratio and orientation of the inclusion with respect to the overall loading, influences the macroscopic behavior, especially the micromechanical fields significantly.

The systematic assessment of the impact of microstructural parameters on both macroscopic quantities and statistics of the micromechanical fields allows for a quantitative comparison of different microstructure morphologies and a reliable identification of microstructural parameters that promote failure initialization in microheterogeneous materials.

The purpose of this study was to design a multitask learning model so that biomedical entities can be extracted without having any ambiguity from biomedical texts.

In the proposed automated bio entity extraction (ABEE) model, a multitask learning model has been introduced with the combination of single-task learning models. Our model used Bidirectional Encoder Representations from Transformers to train the single-task learning model. Then combined model's outputs so that we can find the verity of entities from biomedical text.

The proposed ABEE model targeted unique gene/protein, chemical and disease entities from the biomedical text. The finding is more important in terms of biomedical research like drug finding and clinical trials. This research aids not only to reduce the effort of the researcher but also to reduce the cost of new drug discoveries and new treatments.

As such, there are no limitations with the model, but the research team plans to test the model with gigabyte of data and establish a knowledge graph so that researchers can easily estimate the entities of similar groups.

As far as the practical implication concerned, the ABEE model will be helpful in various natural language processing task as in information extraction (IE), it plays an important role in the biomedical named entity recognition and biomedical relation extraction and also in the information retrieval task like literature-based knowledge discovery.

During the COVID-19 pandemic, the demands for this type of our work increased because of the increase in the clinical trials at that time. If this type of research has been introduced previously, then it would have reduced the time and effort for new drug discoveries in this area.

In this work we proposed a novel multitask learning model that is capable to extract biomedical entities from the biomedical text without any ambiguity. The proposed model achieved state-of-the-art performance in terms of precision, recall and F1 score.

The purpose of this study is to explore the advantages and obstacles of implementing Lean Six Sigma in Indian MSMEs during or post-COVID-19. The following research also elaborates on the challenges of implementing Lean Six Sigma in MSMEs in India, along with the changes in the culture that are required for providing a proper climate to ensure success in a long-term manner.

The methodology used in this study is a descriptive study, which explores and looks for the factors that influence the impulse or motivation to implement Lean Six Sigma in MSMEs and factors that inhibit the implementation of Lean Six Sigma. To achieve this goal of Lean Six Sigma, a significant review of the existing literature of the subject area has been done to prepare a framework with the help of inferential statistics in view of the critical success factors. This research is a flow and arranged a type of survey of organizations that is conducted using MS-Excel and SPSS 25.0 statistical software. The number of participants selected using a purposive sampling method in this study was 127 Lean Six Sigma experts and owners or CEOs of MSMEs in India.

Lean Six Sigma be used for facilitating the improvement processes in manufacturing operations, quality improvements and productivity. As some obstacles exist in implementing the Lean Six Sigma approach, the improvement processes and outcomes of change in the culture are noteworthy and worthwhile. The implementation of Lean Six Sigma has also some constraints, including cost limitations, skill limitations, limited facilities and other such limitations. The implementation of Lean Six Sigma during COVID-19 is not yet a matter of urgency or priority, and hence, cannot yet be applied.

This paper presents opinions of only a few selected professionals of Indian MSMEs. So it was a crucial aspect of capturing the views of such practitioners of their arrival on valid and sound conclusions.

The novelty of this research is to analyze the advantages and obstacles of implementing Lean Six Sigma in MSMEs during the COVID-19 in India. The results of this research can be used as scientific references for researchers who will conduct future research. Moreover, it can be guidance for MSMEs owners to make decisions in implementing Lean Six Sigma during the COVID-19 pandemic. The organizations assess all of their aspects such as perceive objectives, required qualities and shortcomings for fruitful implementation of any practice.

Several suggestions were made for the methods and thoughts, which will constitute a Lean Six Sigma organization. Hence, the research offers an excellent framework for both working professionals and academicians to understand the view of Indian MSMEs along with their benefits and obstacles of implementing Lean Six Sigma. So this study helps in laying out a platform for understanding the uses of Lean Six Sigma for process excellence in a new era due to COVID-19.

The paper aims to identify and report service quality dimensions critical to distributors’ perception of the quality of services their suppliers provide (Manufactures).

This research used unstructured interviews and focused group discussions. The authors have interviewed ten distributors and ten frontline managers of three mid-size Consumer Packaged Goods companies operating in India. Two focused group discussions were conducted involving academicians and practitioners in the service quality domain.

Seven quality dimensions critical to a distributor’s service quality evaluation have been identified. Except for tangibility, all other SERVQUAL dimensions have been found relevant. Three additional dimensions, namely “Fairness,” “Accessibility” and “Image quality,” have been identified. The authors made a theoretical contribution by not only identifying the relevant dimension but also proving their context-specific definition. The authors also present managerial implications and recommendations to improve the service experience of distributors.

This paper investigates the distributor–manufacturer dyadic relationship from a service quality perspective for the first time. This study made a theoretical contribution by explicitly identifying service quality dimensions for a manufacturer-to-distributor (M2D) service relationship.

State‐owned enterprises (SOEs), in general, have not been successful. Their indifferent performance has been at the center of the debate about the role of the state in the economy. To economists, the performance of SOEs is evidence of what is wrong with state intervention. And in recent years privatization has increasingly been regarded as the only way of improving the performance of SOEs. Yet, while unsuccessful SOEs abound, a few high‐performing SOEs such as POSCO (South Korea), Airbus Industrie (France), EMBRAER (Brazil), and MUL (India) can also be found.

This paper aims to examine the factors that lead to the failure of startups in India and proposes a ‘Four Dimensional (4D) Strategic Framework’ to drive success.

This study is exploratory and uses a narrative analysis methodology to analyse the accounts of key startup stakeholders – founders, investors, former employees and consumers; to identify their failure factors. A conveniently selected sample of 165 startups was studied to understand better the reasons for their failure within a thematic framework developed from David Feinleib’s (2012) handbook “Why Startups Fail”.

Results indicate that a dearth of capital or running out of money and inadequate sales and marketing strategy, which leads businesses to fall behind rivals and lose money on each transaction, are the most common factors for startup failure in India.

“Startups” are substantial for emerging economies like India because they fuel technological innovation and economic progress and provide for the modern workforce’s needs and aspirations. However, they seem to be typically unprofitable, with a modest probability of survival. Subsisting studies mainly focus primarily on success factors and very few on why startups fail, with significant disagreement on an appropriate methodology. To the best of the authors’ knowledge, this is the first study that analyses failure factors of Indian startups using narrative analysis of its key stakeholders. It aims to aid the conception of profitable entrepreneurship by reducing the failure frequency in the startup and small business ecology.

Concerns the stances that Indian and UK managers take towards ethical issues at work. This topic is part of the broader cross‐cultural research agenda on managerial values. Makes a contribution to the subjects of business ethics and corporate citizenship. The responses of samples of Indian and UK managers to ethical issues were classified, using a research instrument called Redundancy, by eight ethical stances that are defined in a conceptual framework presented. The results are used to clarify issues that arise from the literature about Indian and UK managers’ values. The tentative findings are that Indian managers’ ethical stances were similar to those of Western managers but that, compared with the UK respondents, they were more likely to experience ethical tension between their personal, espoused, stances and those they took at work. The preference for a pragmatic, ethical puzzle, approach to issues, that was reported by both Indian and UK samples, is seen as a problem in developing good corporate citizenship. Presents an agenda for future research.

Computer usage has become commonplace and there has been an increasing number of local efforts in organising indigenous information for individual and institutional utility. Access to information online or in CD‐ROM media is now just a matter of money; at the same time access to indigenous information has remained a challenging effort both for the user and the infomediary. Information services/products of all kinds are being generated by various agencies in the government, public and private sectors and are emerging out into the Indian information marketplace. There are a number of abstracting journals, which, in a natural process of migration, are now available in dual formats – print as well as machine readable. Besides bibliographic information, service providers are generating factual information – as directories of all descriptions, financial and commercial data, full texts of case laws, export‐import policy and so on. In this paper an attempt is made to present an overview of some of the important electronic databases developed in India or on Indian topics.

The study aims to analyse the challenges faced by the Indian Handloom Sector with a special focus on the state of Uttar Pradesh before and during the COVID-19 pandemic. This study further explores the benefits of AatmaNirbhar Bharat Abhiyan for the betterment of the livelihood of the COVID-19–hit handloom weavers and allied workers.

A total of 400 handloom weavers and allied workers from ten cities of Uttar Pradesh were contacted through telephone. Descriptive statistics were applied to measure the awareness about the government welfare schemes and the benefits of these schemes. Furthermore, satisfaction and opinion of the handloom weavers and allied workers regarding the benefits and sufficiency of the funds received under these schemes have also been measured.

Based on the results, the least awareness has been noted about government welfare schemes. However, a small number of weavers and allied workers were found beneficiaries of the schemes. Additionally, the majority of the respondents were found dissatisfied with the benefits. The COVID-19 pandemic is an addendum to the plight of handloom weavers and allied workers. The measures of AatmaNirbhar Bharat Abhiyan could be used to aid weavers and allied workers to restore their lost revenue.

This study has limitations. Firstly, the research is limited to the handloom industry of Uttar Pradesh. Future researchers could consider the handloom sector of other states like Maharashtra and Andhra Pradesh, known for hand-woven clothes. Secondly, this study aims to analyse the role of AatmaNirbhar Bharat Abhiyan in improving the living conditions of handloom weavers and allied workers and not to measure the impact of the Abhiyan on handloom weavers or the handloom sector. Researchers could measure the impact in future studies. Thirdly, the authors have not applied any behavioural theory or marketing models such as the Theory of Reasoned Action or the Blackwell model, which may be applied to study the attitude of handloom weavers towards welfare schemes. This may prove to be a potential direction for future research. Additionally, master weavers and handloom cooperatives societies were excluded while collecting the data. Future researchers could consider them to examine the role of the government’s welfare schemes for uplifting the socio-economic condition of the handloom weavers, allied workers, master weavers and the business of cooperative societies. Finally, due to lockdown and travel ban, the authors were forced to limit their survey to telephone only because of which they could not get the qualitative information in full. Researchers for future studies could visit the handloom concentrated areas personally or take the help of an enumerator for data collection.

The research holds significance for the young and competent designers, handloom weavers and allied workers. Designers could work with and hire handloom weavers of Uttar Pradesh. If designers and weavers work together, it will help them restore their business and generate revenue that they have lost due to the COVID-19 pandemic. Furthermore, policymakers can collaborate with designers, which will help enhance the socio-economic condition of handloom weavers and allied workers, which has deteriorated due to the COVID-19 crisis.

The research holds significance from the point of view of exploring the challenges faced by handloom weavers and allied workers of the state of UP before and during the COVID-19 period while examining the role of AatmaNirbhar Bharat Abhiyan in setting off these challenges.