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Supply chain vulnerability (SCV) analysis is vital for manufacturers globally because it creates a pathway for building resilient supply chains in uncertain environments. This study aims to identify drivers of SCV in the Indian manufacturing sector.

Sixteen drivers were identified from the literature review and followed by expert interviews. Interpretive structural modeling was used to determine the hierarchical structural relationship among identified SCV factors.

It was found that risk is not a board room agenda. Misaligned performance measures with incentives and lack of risk dashboard are the causal factors of SCV. Supply chain security, centralized production and distribution and lack of trust in the supply chain were driven factors.

This provides new insights to assess and prioritize initiatives for supply chain sustainability in terms of continuing business operations. The structural model provides a systemic view of SCV and helps reduce vulnerability.

This paper reports an empirical examination of the societal, financial and technology-related challenges amid the ongoing pandemic (COVID-19) in the service supply chain network.

A combination of qualitative approach (for items generation pertinent to the constructs involved) and quantitative approach (self-administered questionnaires from the top and middle management of the sampled companies) was used for data collection. In total, 272 complete responses were received and analyzed through structural equation modeling.

The results provided empirical evidence that social and physical distancing, travel restrictions, work from home and lockdown practices have two conflicting effects: On one hand, these practices have contributed to the reduction of economic activities, including the low economic outlook, low productivity, high unemployment, poverty, fall in customer demands, dissatisfaction and mental health, that ultimately impacts rise financial and societal issues. On the other hand, the results revealed an insignificant influence of COVID-19 on creating technology-related challenges in the service sector. It shows that the organizations are doing well in combating the technology-related challenges amidst the current pandemic.

Findings of the inquiry recommend implications for the services industry to harmonize a comprehensive strategy and revisit the global norms in sustainable supply chain management activities that have been the backdrop in their operations for a long time.

Findings of the inquiry recommend implications for the services industry to harmonize a comprehensive strategy and revisit the global norms in supply chain management activities that have been the backdrop in their operations for a long time.

Prior studies in the context of the COVID-19 outbreak and its implications have given more attention to the exploratory and theoretical discussion than to empirical evidence. This paper contributes to filling this knowledge gap by empirically exploring the societal, financial and technology-related challenges created by COVID-19. The analysis in this paper covers three dimensions of the PEST model, namely economic, societal and technological factors. This study also helps in laying out a platform for investigating the PEST (political, economic, social and technological) model for guiding the services industry in strategic decision-making in a new era due to COVID-19.

That knowledge acquisition from external sources can play a pivotal role in product design is a well-known fact. However, knowledge acquisition need not play a pivotal role in every context; it is also documented to have a dark side (i.e. negative impacts). Specifically, given that product stewardship, by definition, calls on each party in the product life cycle – including suppliers – to share responsibility for the environmental impact of products, the purpose of this study is to answer the question “whether knowledge acquired from suppliers plays a beneficial role in the context of product stewardship?”

This study focuses on the effect of knowledge acquisition on product stewardship and its subsequent effect on environmental performance. Given that the effect of knowledge acquisition could be moderated by firm-specific and relational factors, this study also considers the moderating role of knowledge exploitation and supplier opportunism. Using primary data, the hypotheses are tested using two-stage hierarchical ordinary least squares regression models involving valid instruments.

Though extant research doubts that knowledge acquisition will always be beneficial, this study adheres to the tenets of knowledge-based view and hypothesize that knowledge acquisition is pivotal to product stewardship and its subsequent impact on environmental performance. But the results suggest an intriguing double-edged effect of knowledge acquisition; while its direct effect on product stewardship is nonsignificant, it seemed to have a significant positive moderating effect on the relationship between product stewardship and environmental performance. But whenever knowledge exploitation and supplier opportunism are maintained at ideal levels, this double-edged effect of knowledge acquisition is successfully negated.

While knowledge acquisition is key for new product design, its specific role in the product design that incorporates environmental considerations is still not clear. By proposing that knowledge acquisition could instead have a double-edged effect within the unique context of product stewardship, the study makes an invaluable contribution to the extant literature on knowledge management within supply chain relationships.

Purpose: The research determines how the COVID-19 pandemic affected India’s burgeoning education technology sector and how the new normal responded to this advancement worldwide.

Need for Study: India’s education sector saw a boom in Ed-Tech funding during the pandemic. The Indian Education industry adopted technology as a partner and succeeded in being called as the Ed-Tech capital of the world. The country has a strategic edge in online education that, if explored and researched upon, can be deployed for market growth at a global level.

Research Methodology: The researcher prioritised rigorous original quantitative and qualitative methods of investigation on technology applications in educational contexts during COVID-19 pandemic and drew its conclusions after conducting a comprehensive literature review and collecting and analysing the data from numerous journals and published expert articles on the sector.

Findings: The study found that despite the global pandemic, the Ed-Tech industry was an expanding marketplace for start-ups in India. After the pandemic, the market expanded rapidly, and by 2025, it is expected to have quadrupled in size, expenditure, and investment. It is expected that the global e-learning business, which the outbreak of the COVID-19 pandemic has bolstered, will grow to over 400 billion US dollars by 2026.

Practical Implications: The study sets forth the various Ed-Tech categories, outlining their user bases, growth projections, and the innovative technologies employed in developing these products. The research’s long-term investment projections are envisioned to aid consultants in positioning themselves for profitable operations in the era of digital Ed-Tech disruption worldwide.

The purpose of this study was to optimize meat slices for processing attributes to produce better sensory features in developed products from buffalo veal and chevon. The processing parameters such as meat particle size, fat content and binding ability without chopping were the subject of this study.

The study involved three experiments where the particle size, fat content and tumbling time were optimized for optimum binding and improvement in different sensory attributes of product followed by physico-chemical analysis.

The sensory scores clearly indicated that meat slices prepared from 3 mm meat particle size, 10% fat content and 1 h tumbling time were having best sensory features. The selected product was analyzed for different physico-chemical properties. Emulsion stability and cooking yield revealed significantly (p = 0.01) higher values of 91.6% and 89.7%, respectively, in buffalo veal than in values of 87.6% and 84.9%, respectively, in the chevon product. Similarly the results showed that buffalo veal slices had significantly (p = 0.01) higher (17.4%) protein than the chevon (15.2%), whereas chevon slices had significantly (p = 0.01) higher (10.3%) fat content. The texture profile analysis indicated that cohesiveness (p = 0.01) and chewiness (p = 0.05) were significantly higher in chevon product than in buffalo veal.

The study was conducted to explore the buffalo veal as a potential source of quality meat, as majority of buffalo meat produced in India from spent animals have compromised quality attributes. The comparison was done with chevon, the most popular red meat in the country for the comparative study.

The purpose of this paper is to design a efficient layout of Multistage interconnection network which has cost effective solution with high reliability and fault-tolerence capability. For parallel computation, various multistage interconnection networks (MINs) have been discussed hitherto in the literature, however, these networks always required further improvement in reliability and fault-tolerance capability. The fault-tolerance capability of the network can be achieved by increasing the number of disjoint paths as a result the reliability of the interconnection networks is also improved.

This proposed design is a modification of gamma interconnection network (GIN) and three disjoint path gamma interconnection network (3-DGIN). It has a total seven number of paths for all tag values which is uniform out of these seven paths, three paths are disjoint paths which increase the fault tolerance capability by two faults. Due to the presence of more paths than the GIN and 3-DGIN, this proposed design is more reliable.

In this study, a new design layout of a MIN has been proposed which provides three disjoint paths and uniformity in terms of an equal number of paths for all source-destination (S-D) pairs. The new layout contains fewer nodes as compared to GIN and 3-DGIN. This design provides a symmetrical structure, low cost, better terminal reliability and provides an equal number of paths for all tag values (|S-D|) when compared with existing MINs of this class.

A new design layout of MINs has been purposed and its two terminal reliability is calculated with the help of the reliability block diagram technique.

Introduction: As the human population grows, consumer demand for digital services tailored to their specific needs also increases. To improve the financial performance of farms and meet the need for food of a growing population, farmers and agribusinesses have started incorporating distributed ledger technology into agricultural and farm management software. These developments in the agriculture sector may lead to realising sustainable development goals.

Purpose: Several researchers have done studies to explore the features and benefits of blockchain technology in the field of agriculture. There is a need to analyse the available literature to identify the use of this technology in agriculture and the scope of further research. This chapter will mainly focus on its publication trend, journal productivity and impact, prolific studies, and coherent themes.

Methodology: For a comprehensive review, bibliometric and content analysis of 71 open-access articles collected through a structured database of Mendeley is done. These articles were published during 2017–2021.

Findings: The execution of blockchain is continuously increasing in the agriculture sector, which has resulted in automation in supply chain management, land registrations, and crop insurance. The study revolves around supply chain management, digitisation of agriculture, and sustainable economic development. This study’s conclusions can help agriculturalists improve their understanding of blockchain implementation in agriculture. The study also gives directions for future research.

This present study was conducted to evaluate the effect of different cooking methods on quality characteristics of turkey meat cutlets, i.e. turkey meat cutlets prepared by deep frying (DF), turkey meat cutlets prepared by shallow frying (SF), turkey meat cutlets prepared by microwave cooking at 740 MHz for 20 min (MW) and turkey meat cutlets prepared by microwave cooking at 740 MHz for 10 min followed by shallow frying (MS).

Several preliminary trials were conducted to optimise the formulation, and finally, turkey meat cutlets were prepared, as per the method followed by Singh et al. (2015). These standardised turkey meat cutlets were cooked with four different cooking methods. The best formulation and optimum cooking method were selected on the basis of physicochemical properties and sensory evaluation.

pH and moisture content of MW were significantly (P < 0.03) higher than DF, SF and MS; however, cooking yield and water activity values of MW and MS were significantly (P < 0.05) higher. DF had significantly (P < 0.02) higher fat content than SF > MS > MW. The values of textural parameters were significantly (P < 0.01) higher in DF, whereas lightness values of MW and redness values of DF were significantly (P < 0.02) higher. Scores of various sensory attributes, including overall acceptability, were significantly (P < 0.03) higher in MS. Therefore, MS – turkey meat cutlets prepared by microwave cooking at 740 MHz for 10 min followed by shallow frying were found optimum.

Cooking methods vary according to the choice and flavour of the consumer. Meat products, especially cutlets, can be cooked with many cooking methods, but it is always good to choose the one method which contains less fat per cent as per the requirement of present-day health-conscious consumer and also retains and add on to the taste of the product. Hence, microwave cooking followed by shallow frying was found as such a cooking method that has the characteristics of both, i.e. less fat content and also is tasty to the tongue.

The purpose of this paper is to investigate the efficacy of cabbage powder as a source of natural antioxidants and dietary fibre for the development of functional mutton patties. Antioxidants are the first line of defence against the oxidative damage to body’s macromolecules resulting in pathogenesis of various diseases including cancers and cardiovascular diseases. The supply of antioxidants from vegetative sources along with different meat products may serve as an excellent alternative for the synthetic antioxidants which may have harmful effects.

Cabbage powder was prepared and evaluated for antioxidant potential and total dietary fibre content. Cabbage powder was incorporated at three different levels in mutton patties formulation; optimum level was selected on the basis of sensory analysis. The developed product was evaluated for detailed profile and storage stability under aerobic and vacuum packaging.

Cabbage powder may serve as a good source of natural antioxidant and dietary fibre for the development of functional mutton patties. On the basis of sensory scores, optimum incorporation level of cabbage powder was adjudged as 6 per cent. The functional mutton patties had very good storage life under refrigeration.

Future research may stress on identifying the specific compounds with antioxidant effect and their metabolism inside the body.

This paper may popularize the cabbage powder as a source of natural antioxidant and dietary fibre in different food products.

Development of functional mutton patties incorporated with cabbage powder having oxidative stability, good nutritive, sensory, textural, and colour properties.