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This paper aims to uncover the key enablers of an agile supply chain in the manufacturing sector amidst disruptions such as pandemics, trade wars and cross-border challenges. The study aims to assess the applicability of existing literature to manufacturing and identify additional industry-specific enablers contributing to the field of supply chain management.

The research methodology is comprehensively described, detailing the utilization of extent literature and semistructured interviews with mid- and top-level executives in a supply chain. The authors ensure the robustness of the data collection process and results interpretation.

The study identifies six essential dimensions of an agile supply chain: information availability, design robustness, external resource planning, quickness and speed, public policy influencing skills and cash flow management. The study provides valuable insights for industry professionals to develop agile supply chains capable of responding to disruptions in a rapidly changing world.

This study is limited by its focus on the manufacturing sector, and future research may explore the applicability of these findings to other industries. By focusing on these essential dimensions identified in the study, managers can develop strategies to improve the agility and responsiveness of their supply chains. In addition, further research may investigate how these enablers may vary in different regions or contexts.

The COVID-19 pandemic has forced executives to reconsider their sourcing strategies and reduce dependence on suppliers from specific geographies. To ensure business continuity, companies should assess the risk associated with their suppliers and develop a business continuity plan that includes multisourcing their strategic materials. Digital transformation will revolutionize the supply chain industry, allowing for end-to-end visibility, real time insights and seamless integration of business and processes. Companies should also focus on creating a collaborative workforce ecosystem that prioritizes worker health and well-being. Maintaining trust with stakeholders is crucial, and firms must revisit their relationship management strategies. Finally, to maintain business leadership and competitiveness during volatile periods, the product portfolio needs to be diversified and marketing and sales teams must work in tandem with product teams to position new products accordingly.

This work contributes substantially to the literature on supply chain agility (SCA) by adding several new factors. The findings result in a more efficient and cost-effective supply chain during a stable situation and high service levels in a volatile situation. A less complex methodology for understanding SCA provides factors with a more straightforward method for identifying well-springs of related drivers. First, the study contributes to reestablish the factors such as quickness, responsiveness, competency, flexibility, proactiveness, collaboration and partnership, customer focus, velocity and speed, visibility, robustness, cost-effectiveness, alertness accessibility to information and decisiveness as applicable factors for SCA. Second, the study suggests a few more factors, such as liquidity management, Vendors’ economic assessment and economic diversity, that are the study’s unique contributions in extending the enablers of SCA. Finally, public policy influencing skills, local administration connects and maintaining capable vendors are the areas that were never considered essential for SCA. These factors have emerged as a vital operational factor during the lockdown, and academicians may consider these factors in the future to assess their applicability.

This study provides new insights for decision-makers looking to enhance the resilience and agility of their supply chains. The identification of unique enablers specific to the manufacturing industry contributes to the existing body of literature on agile supply chains in the face of disruptions.

The study aims to determine the cybercrime awareness among secondary school students with reference to their gender and school management type.

For the purpose, a sample of 100 students from secondary schools situated in Lucknow city, state of Uttar Pradesh, India was selected. To obtain initial data from the respondents and to determine the cybercrime awareness categories a five-point Likert type cybercrime awareness rating scale exclusively constructed to fulfil the purpose of this study was used to determine the cybercrime awareness in five categories viz; excellent, high, above average, average, below average and low cybercrime awareness. Further, “t” test was used to analyse the difference between the means of groups.

Results revealed that gender (male and female) and type of school management (government and self-finance) are not significant predictors of cybercrime awareness among secondary school students.

This study is limited to the government and self-finance English medium schools of Lucknow city, state of Uttar Pradesh, India.

Policymakers, various societies involved in investigating cyber behavior/child computer interaction/safer communities, etc. should consider that school management is not a predictor of cybercrime along with gender and can look for other possible visible and latent factors affecting cybercrime awareness among students while formulating a policy or designing a course/prevention program for secondary school students.

School administration should consider the existing gender and school management roles of the present scenario to make effective policies for the students and providing them effective cybercrime prevention programs and activities. Also, parents can adequately understand the role of school management type and gender of their belongings to understand their cybercrime awareness and take necessary measures accordingly.

The paper is focused on the cybercrime awareness of secondary school students and how their gender and school management type affects their cybercrime awareness. To the best of the authors’ knowledge, this study is first of its kind which investigates the role of school management in cybercrime awareness of the students. As the education sector is depending more and more on the cyber world, this paper is of the great significance for the safety of education sector, organizations and communities involved in making the policies and designing the curriculum to avoid students being a victim of cybercrime and to make education sector a safer community.

The Denial of Service (DoS) attack is a category of intrusion that devours various services and resources of the organization by the dispersal of unusable traffic, so that reliable users are not capable of getting benefit from the services. In general, the DoS attackers preserve their independence by collaborating several victim machines and following authentic network traffic, which makes it more complex to detect the attack. Thus, these issues and demerits faced by existing DoS attack recognition schemes in cloud are specified as a major challenge to inventing a new attack recognition method.

This paper aims to detect DoS attack detection scheme, termed as sine cosine anti coronavirus optimization (SCACVO)-driven deep maxout network (DMN). The recorded log file is considered in this method for the attack detection process. Significant features are chosen based on Pearson correlation in the feature selection phase. The over sampling scheme is applied in the data augmentation phase, and then the attack detection is done using DMN. The DMN is trained by the SCACVO algorithm, which is formed by combining sine cosine optimization and anti-corona virus optimization techniques.

The SCACVO-based DMN offers maximum testing accuracy, true positive rate and true negative rate of 0.9412, 0.9541 and 0.9178, respectively.

The DoS attack detection using the proposed model is accurate and improves the effectiveness of the detection.

Indian education system is obligated to assure “accessibility” to the “quality” preschool education for all children. National Education Policy (NEP) 2020 has emphasised this endeavor loudly and provided clear directions to bring quality in the preschool education through effective implementation strategies. En route to this, trained and motivated preschool teachers are considered as the key factor for quality assurance. Diversity of the Indian society (language, culture, socio-economic status), variety of preschool service providers, different models of preschool education system, uneven salary structure, work load, shortage of support system, huge teacher children ratio, and unregulated sector of teacher preparation are the upfront challenge for the quality of preschool teachers and teacher education. Recruitment of trained preschool teachers, assured career growth, performance-based promotions and salary structure, regulated teacher preparation programs, adherence to the other quality standards for preschool education, digital/distance mode of obtaining required qualifications, and development of strong mechanism for monitoring; supervision as well as on-site mentoring of preschool teachers are some of the major milestones set by the government in the policy. With all this, the most important aspect is to provide encouraging and respectful environment for preschool teachers to keep them happy, contented, and motivated. The teachers, who are prepared in this way contribute in the lives of young children by creating warm and welcoming environment when they enter preschool. The NEP 2020 has brought hope, possibilities, and directions in this regard.

Extant literature indicates that people use existing social networks for various collective activities as there is a cost involved to create and maintain separate networks for different activities. The authors build on the relational sociology framework and test this assertion in by examining a dairy cooperative society, which is a community organization. We hypothesize that the cooperative members are likely to use existing social networks to operationalize their cooperative (dairy-related matters) and other social and personal relations. This study tests the hypothesis by studying information sharing relations among the dairy cooperative members in two different social networks: the dairy information network and social information network.

This study uses social network analysis to analyze relational data.

The study finds that the members of the dairy cooperative maintain both information sharing networks separately and that each network has different control and efficiency mechanisms.

The findings contradict the assertions of existing literature and establish that people ensure their business relations remain separated from their social relations to avoid the possibility of social conflicts affecting their business activities.

The purpose of the paper is to conduct a comprehensive bibliometric analysis and systematic review to examine the research landscape of women empowerment through participation in self-help groups (SHGs), identifying the eminent contributors, intellectual communities and future research agenda in the field of SHGs and women empowerment.

The global works of literature related to the theme of SHGs and women empowerment between 1998 and May 6, 2022 were scanned for bibliometric analysis and systematic review. A total of 176 English language documents from the Scopus database were extracted. Bibliometric analysis is conducted using Biblioshiny and VOSviewer software.

This study finds that SHGs are paramount in achieving rural women’s empowerment multidimensionally. Found that India is the most contributing country with 136 documents, and Ranjula Bali Swain and Fan Yang Wallentin are the most cited authors in the research field of SHGs and women empowerment. In addition, the paper proposes a comprehensive conceptual framework to portray rudimentary antecedents of women’s empowerment achieved through participation in SHGs.

This bibliometric analysis, along with a systematic review demonstrating a framework encapsulating the principal dimensions of women empowerment and their indicators, will be helpful to practitioners, government, policymakers and researchers working in the area of SHGs and women empowerment.

This study recognizes numerous significant contributions by eminent scholars and presents a concise review of the literature for novice researchers working in the area of SHGs and women empowerment.

The purpose of this study is to examine the existing literature and evaluate the theories, characteristics, context and methods of alliance termination research published from 1992 to 2019. This study also aims to identify the gaps in the literature and recognize directions for future research focusing on alliance termination research.

The main research methods followed in this study are bibliometric review, citation analysis, co-citation analysis and cluster analysis.

The main findings of this study are the most cited articles, most productive journals and most productive countries. The results show that a total of 100 research articles were published between 1992 and 2019. The maximum number of publications were observed during 2011–2019. The article “Knowledge, bargaining power, and the instability of international joint ventures” (Inkpen and Beamish, 1997) was the most cited article and the “Academy of Management Review” was the most prominent journal, with 847 citations. The USA, France, the UK, Singapore and Canada are the most productive countries. The study also includes the analysis of the network of co-citation of references and co-occurrence of keywords in the context of alliance termination research.

To the best of authors’ knowledge, this study seems to be the first to perform bibliometric review and analysis in the area of alliance termination research. Therefore, it can help academicians and practitioners to identify the research trends and gaps in the alliance termination literature on which future research can be performed. Overall, this research paper leads to a better understanding of the alliance termination research and offers new insights into strategic management studies.

This research aims to investigate critical success factors, barriers and initiatives of total productive maintenance (TPM) implementation in selected manufacturing industries in Addis Ababa, Ethiopia.

This study built and looked into a conceptual research framework. The potential barriers and success factors to TPM implementation have been highlighted. The primary study techniques used to collect relevant data were a closed-ended questionnaire and semi-structured interview questions. With the use of SPSS version 23 and SmartPLS 3.0 software, the data were examined using descriptive statistics and the inferential Partial Least Square Structural Equation Modeling (PLS-SEM) techniques.

According to the results of descriptive statistics and multivariate analysis using PLS-SEM, the case manufacturing industries' TPM implementation initiative is in its infancy; break down maintenance is the most widely used maintenance policy; top managers are not dedicated to the implementation of TPM; and there are TPM pillars that have been weakly and strongly addressed by the case manufacturing companies.

The small sample size is a limitation to this study. It is therefore challenging to extrapolate the research findings to other industries. The only manufacturing KPI utilized in this study is overall equipment effectiveness (OEE). It is possible to add more parameters to the manufacturing performance measurement KPI. The relationships between TPM and other lean production methods may differ from those observed in this cross-sectional study. Longitudinal experimental studies and in-depth analyses of TPM implementations may shed further light on this.

Defining crucial success factors and barriers to TPM adoption, as well as identifying the weak and strong TPM pillars, will help companies in allocating their scarce resources exclusively to the most important areas. TPM is not a quick solution. It necessitates a change in both the company's and employees' attitude and their values, which takes time to bring about. Hence, it entails a long-term planning. The commitment of top managers is very important in the initiatives of TPM implementation.

This study is unique in that, it uses a new conceptual research model and the PLS-SEM technique to analyze relationships between TPM pillars and OEE in depth.

The purpose of the present study was to develop low Glycemic Index (GI) crackers from water chestnut flour (WCF) and barley flour (BF).

Five blends were prepared by mixing WCF with BF in the proportion of 100:0, 70:30, 50:50, 30:70 and 0:100, respectively. The baking process as well as ingredients were modified for the production of low GI crackers.

BF incorporation had significant (p < 0.05) effect on physical characteristics, organoleptic attributes and glycemic response of crackers. The resistant starch content of final product was found to be higher than WCF and BF. The research confirmed that replacement of 30 percent WCF with BF is feasible for development of low GI crackers with desired sensory attributes. The inference drawn from storage studies was that the developed crackers can be stored safely (with an overall acceptability score of greater than three on a 5-point scale) in metallized polyethylene up to 35 days under refrigerated conditions and 28 days under ambient conditions.

Although low GI crackers were developed successfully from WCF and BF in the present study. However, detailed storage studies of such crackers can be done in future so as to perform the tests of type-intensity and temporal dominance of sensation. Also, in view of their low GI, these crops need to be evaluated in future for development of other bakery products like bread, cake, muffins, etc.

Water chestnut and barley despite having good nutritional profile and low GI are still considered as underutilized crops. In the present study, these crops were explored for development of low GI crackers especially for people suffering from diabetes. The outcome of this study will open up a new window in the baking sector to develop low GI crackers viz-a-viz will add value to these crops which will help to provide remunerative returns to those who are directly or indirectly involved in trade of these underutilized crops.

This was the first reported innovative attempt to develop low GI crackers from WCF and BF. For development of crackers having desired sensory characteristics, it was found feasible to blend WCF and BF in the ratio of 70:30.

The global outbreak of COVID-19 and its subsequent varied impacts on different economic activities necessitate to examine its disruptions and impacts on livestock sector in India due to its recently surging potential as an unrivaled alternative to boost farmer’s income.

The studies for review were identified through search in different databases using relevant keywords. Only full text papers written in English language were reviewed. The review was organized and streamlined using Covidence software.

Analysis of the literature reveals adverse effects of COVID-19 on functioning of input and output stages of livestock supply chains. This has resulted in upstream and downstream economic losses that affect livelihoods of the producers.

Scale of unprecedented crisis due to COVID-19 pandemic requires creative policy decisions to make livestock production systems robust, resilient and sustainable. Organized production systems are required to integrate with livestock-tech startups to modernize their supply chains, whereas local supply chains are required to reorient with government’s intervention in terms of developing on-farm production and postproduction processing facilities.

Although there exist some evidence on COVID-19-related impacts on livestock sector of India, but an integrated review of evidence on COVID-19 related disruptions at all the stages (from input supply to marketing) of livestock supply chains was missing.