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The purpose of this paper is to find out the optimum machining parameters using Taguchi technique with principal component analysis (PCA) during end milling of GFRP composites.

In multi-objective optimization, weight criteria of each objective are important for producing better and accurate solutions. This method has been employed for simultaneous minimization of surface roughness, cutting force and delamination factor. Experiments were planned using Taguchi’s orthogonal array with the machining parameters, namely, helix angle of the end mill cutter, spindle speed, feed rate and depth of cut were optimized with considerations of multiple response characteristics, including machining force, surface roughness and delamination as the responses. PCA is adopted to find the weight factors involved for all objectives. Finally analysis of variance concept is employed on multi-SN ratio to find out the relative significance of machining parameter in terms of their percentage contribution.

The multi-SN ratio is achieved by the product of weight factor and SN ratio to the performance characteristics in the utility concept. The results show that a combination of machining parameters for the optimized results has helix angle of 35°, machining speed of 4,000 m/min, feed rate of 750 mm/rev and depth of cut of 2.0 mm.

Effect of milling of GFRP composites on delamination factor, surface roughness and machining force with various helix angle solid carbide end mill has not been analysed yet using PCA techniques.

The purpose of this paper is to optimise the process parameters, namely, fibre orientation angle, helix angle, spindle speed, and feed rate in milling of glass fibre-reinforced plastic (GFRP) composites using grey relational analysis (GRA) and desirability function analysis (DFA).

In this work, experiments were carried out as per the Taguchi experimental design and an L27 orthogonal array was used to study the influence of various combinations of process parameters on surface roughness and delamination factor. As a dynamic approach, the multiple response optimisation was carried out using GRA and DFA for simultaneous evaluation. These two methods are best suited for multiple criteria evaluation and are also not much complicated.

The process parameters were found optimum at a fibre orientation angle of 15°, helix angle of 25°, spindle speed of 6,000 rpm, and a feed rate of 0.04 mm/rev. Analysis of variance was employed to classify the significant parameters affecting the responses. The results indicate that the fibre orientation angle is the most significant parameter preceded by helix angle, feed rate, and spindle speed for GFRP composites.

An attempt to optimise surface roughness and delamination factor together by combined approach of GRA and DFA has not been previously done.

The purpose of this paper is to analyze the potential returns to value chain actors from employing desiccant bead drying and hermetic storage technology.

Information was collected from 175 different onion (Allium cepa L.) seed value chain actors in Nepal. Four different business models for the introduction of new bead drying and hermetic storage technology were compared to current practices through use of partial budgeting.

The increase in net income throughout the chain was quite similar in all four models, ranging from US$28.86 to 29.61 per kg of onion seed, making it difficult to say that any single model is best for all situations. However, there are differences in sharing of positive net income and negative net income for different actors in different models. Moreover, about US$5.85 million incremental return could be earned per year in Nepal from improved preservation of onion seed alone.

This research assesses how to introduce a new technology, the dry chain concept to maintain seed quality, into the existing marketplace.

This paper focuses on the economics of a novel technology and compares different business models and scenarios.

This study investigates the aerodynamics of the airflow over low-rise houses subjected to turbulent cyclonic winds along the South-eastern peninsular India, routinely afflicted by tropical cyclones. The purpose of this paper is to demonstrate how the power of modern computational fluid dynamics (CFD) and its engineering application accentuate decision-making at the planning stage of house designing in vulnerable areas.

The Weather Research and Forecasting (WRF) model was used for first simulating the landfall of cyclone Hudhud, a real storm, and its effect in extant and new house designs. Results from the WRF model were utilized to configure further CFD simulations of airflow around house designs. The analyses yielded deep insights, often non-intuitive, into airflow patterns around these houses with disparate roof forms indicating new possibilities in redesigning houses along Indian coastal areas.

This study shows that storm-induced high TKE values warranted a fuller CFD-based study. The second major finding showed that for a 90° angle of attack, arguably the most destructive attack angle, a pitched roof (with a pitch angle of 10°) worked best – this is about half the recommended angle sourced from earlier empirical estimates dating back to the British Raj period. There is a thin layer of padded air cushion shielding the roof's vulnerable surface from the storm's most energetic parts.

The originality of this research lies in its discourse to systematically resolve the TKE distribution of a cyclone impacting a standalone house. In particular, the study presents a lucid demonstration of all the probable scenarios connecting cyclonic stresses with a roof response, inferred from a careful combination of results garnered from cyclonic storm modelling coupled with CFD analysis. Additionally, the paper also shows a graphic visual representation of the forces induced on different roof designs, presented as a checklist for the first time. This should serve as a ready reckoner for civic authorities involved in disaster management over cyclone-ravaged areas.

Tech start-ups (TSs) functioning in different domains have a responsibility of ensuring that domestic knowledge and capabilities are leveraged to minimize dependence on foreign organizations. Despite the growth of the ecosystem, while numerous TSs emerge, very few of them are able to survive, and of those that survive, very few scale up. The aim of this study is to identify the factors influencing the competitiveness of technological start-ups and to study the interrelationship and interdependence of these factors.

Modified total interpretative structural modeling (m-TISM) was employed for the current research. The analysis of what factors have an effect on competitiveness, how they affect it and why they affect it should be explored. The study begins by developing the list of factors through literature search, and further it is validated by expert opinion. A hierarchical model has been developed using m-TISM and MICMAC analysis to analyze the driving and dependency power of factors at each level.

Results show that the competitiveness of TSs is affected by organizational agility and internationalization. Factors present at the bottom level, namely entrepreneurial intensity, act as a strong driver for TSs. Team member commitment, transformational leadership, strategic alliances, knowledge sharing and organizational ambidexterity are middle-level factors.

This study is among the few articles that have explored competitiveness of TSs in the Indian context.

This study aims to determine the association of Transparency and Disclosure (TD) with financial distress (FID) while the competition (as Lerner Index) moderates the association between the two.

The panel data analysis (static model) is performed to examine the effect of disclosures on the bank's FID. A TD index is built to assess the level of TD. All three versions of Altman's Zscore are employed to measure a bank's FID (High Zscore is opposite of FID). The data of 34 banks running in India for the timeframe 2015–16 to 2018–19 is utilized. Lerner index (LI) is taken as the moderator. The bank-size, valuation and financial leverage are control variables.

There exists no linear connection between TD and FID. However, TD is positively associated with financial stability (opposite FID). It means TD initially reduces financial stability and improves it after TD crosses a threshold level. Competition (as LI, where the higher value of LI means reduced competition) negatively moderates the association of TD with financial stability. Hence, the findings of this study support the competition-fragility premise. Surprisingly, the negatively significant interaction term of LI and TD implies either high competition and high TD or low competition with low TD, which helps in the bank's financial stability.

The findings provide input to a long-term policy of disclosures and competition in the banking sector, keeping in view the financial stability of the banks. Therefore, findings are novel and carry immense value to the existing knowledge on the topic.

The purpose of the study is to analyse the impact of COVID-19 on the hospitality industry during the rise of worldwide pandemic crises using Twitter analysis. The study is based on 57,794 English-language tweets mined from Twitter from 1 April 2020 to 15 October 2020. Based on thematic and sentiment analysis, the study found that overall sentiments expressed on Twitter were negative. This chapter contributes to existing knowledge about the COVID-19 crisis and broadens the respondents’ understanding of the potential impacts of the crisis on the most vulnerable tourism and hospitality industry. This research emphasises the sustainable revival of the hospitality industry.

This paper aims to investigate the effect of spiritual intelligence on the quality of work life (QWL) of college teachers. Besides this, the mediating impact of psychological capital on improving their QWL and moderating effect of gender has also been examined in the study.

Variance-based structural equation modelling is used for testing the proposed structural model with a sample of 451 college teachers.

The findings of the study reveal that QWL is positively influenced by spiritual intelligence. Moreover, QWL can be augmented with the presence of psychological capital. Nevertheless, there exist no gender differences with respect to the relationships of the study.

The study holds implications for the teachers and educational institutions as they can prepare themselves to cope up with the stressful events and experience a good QWL.

A teacher’s role is said to be instrumental in bringing about a holistic development in pupil’s personality by instilling right value system in him/her. Nevertheless, such role of the teachers can only be justified if the teachers are equipped with higher levels of spiritual intelligence and are psychologically more active and satisfied with their work life.

To the best of the authors’ knowledge, this study is the first of its kind that makes an incremental contribution to the QWL literature by exploring a partial mediating role of psychological capital on the relationship between spiritual intelligence and QWL.

This chapter argues that intra-firm geographic mobility is an understudied mechanism that can help mitigate coordination failures in a geographically distributed organization. The chapter presents an organizing framework on how intra-firm geographic mobility creates value for firms and discusses how intra-firm geographic mobility can create value for individual workers. The chapter concludes by presenting a future research agenda for intra-firm geographic mobility in light of emerging phenomena such as global collaborative patenting by multinationals, temporary colocation of knowledge workers, and nonstandard work.