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The present discussed problem deals with the torsional surface wave scattering in an initially stressed inhomogeneous medium. The assumed model consists of tri-mediums resting over a viscoelastic semi-infinite medium and the considered tri-mediums are transversely isotropic, porous, and heterogeneous respectively under the impression of initial stress.

Heterogeneities are associated with density and rigidity in the intermediate layer and considered heterogeneities are of the trigonometric form. Displacement components are derived for mediums by applying separable variables.

Frequency equation is deduced by using suitable boundary conditions, defined at the free surface of the uppermost medium, and on the interfaces between mediums. The derived equation is of the complex form, real and imaginary parts direct the phase/damped velocities respectively. Additional results are considered in particular cases. Numerical examples are adopted for computing frequency equation and drawn consequences are demonstrated graphically to analyze the significant impact of various parameters on the phase velocity as well as on damped velocity of the surface wave sketched against the wavenumber.

This presented research work provides a different view over the analysis of torsional surface waves than the earlier investigations. Previously studied problems on the wave generation were conducted in different models under the various affecting parameters. Study on torsional wave generation in the present model is not carried out till now. This study may find its virtue in the theoretical aspect as well as in the possible practical implications. The outcomes are relevant to geology and allied areas; moreover, the concern applications may be implicated in geological exploration, civil engineering, and prediction of Earthquake etc.

Due to the recent disruptions caused by COVID-19, global supply chains are stress tested. The affected supply chains have interfered with market tonnage prices for the yield of perishable products like mangoes that are highly dependent on their quality. This research, through empirical findings, thus determines and comprehends the factors influencing mango quality (size).

A framework is developed for finding the potential factors of quality building on the previous literature and studies on the available topic. The data collection included face-to-face interviews comprising 240 farmers, hired managers and preharvest contractors in India's Jangaon, Rangareddy and Yadadri Bhuvanagiri districts of Telangana state. The data analysis is done using multiple regression, and the outcomes form the basis of the design of the experiments model.

The empirical insights support that the quality of mango is affected by factors such as the number of picking cycles, the cost of fertilizer, the variety of fertilizers used, the variety of pesticides used and pesticide application frequency. The direct implications are the benefit to farmers in improving mango quality and maximizing profit per yield cycle.

To the best of the authors’ knowledge, the first research that has specifically focused on holistically improving the quality(size) of mangoes.

The findings contribute to the perishable supply chain literature, specifically to the mango study, to comprehensively showcase the factors impacting the quality of mangoes and provide guidance to farmers regarding orchard practices.

The purpose of this paper is to identify the factors and most significant reasons leading to supply chain inefficiency with respect to high cost, high lead time and poor quality at wholesale stage of mango supply chain in India, and also to find out the measures which may be taken to improve supply chain efficiency.

The paper opted for an exploratory study using the quantitative and qualitative method of research. The study was conducted at Asia’s largest and world’s second largest fruits and vegetable wholesale market (Mandi) in Azadpur, Delhi. Factors have been identified using factor analysis and the measures to improve supply chain efficiency in fruits sector have been found out through semi-structured interviews with agri- and food-supply chain experts.

Based on the factor analysis, three factors were identified for high cost, namely, operational charges, labour and resources; four factors were identified for high lead time, namely, operational issues, labour, resources and infrastructure; and four factors were identified for poor quality, namely, operational issues, infrastructure, resources and poor ambience. It was also found that operational factor is the most significant factor leading to supply chain inefficiency. The study also highlighted the measures for improving supply chain efficiency based on the outcome of the interviews.

This study is limited to the wholesale stage of fruit supply chain with the focus on Azadpur Mandi, Delhi, India, with specific reference to mango. Also, the measures have been identified for only the most significant reasons under each factor leading to supply chain inefficiency with respect to cost, time and quality.

There is a dearth of literature on improving the supply chain efficiency pertaining to the wholesale stage of fruits and vegetable sector in India. This paper tries to fulfil the gap and contributed to the literature on agriculture supply chain, which may be helpful for the researchers as well as the practitioners to improve food supply chain pertaining to developing countries.

The growth of research into whistle-blowing has produced some compelling insights into this important organizational phenomenon, but a number of areas remain under-explored, particularly the role of emotion and our understanding of the far more common response to wrongdoing, namely inaction. In this chapter we seek to problematize current conceptualizations of whistle-blowing and wrongdoing, as a basis for examining employee silence in the face of wrongdoing. We suggest that quiescent silence can be viewed as an emotion episode, and draw upon the feedback theory and the sensemaking paradigm to develop this proposition, illustrated through an analysis of accounts of quiescent silence in a clinical setting. We propose a new concept of “cues for inaction” which offers insights into the way quiescent silence arises and persists.

Life is changing very fast, and its impact is observed in food pattern, consumer behavior and its ultimate market. In these broad outlines, 300 customers were studied in Anand districts of Gujarat. The restaurants and parlors that were studied were franchise models of Gujarat state only. Here in this study, six franchise food retailers were purposively selected. Data were analyzed through cluster analysis techniques. At the end, it was found high quality, better service, convenient location, presentation of food in parlor and restaurants, and zero time delivery are playing key roles for getting customers for the food.

The impact of COVID-19 has been sector-specific as per relaxations allowed under different lockdown announcements by the Indian Government. Sectors with high potential threats of spreading COVID-19 cases have been allowed restricted operations. Depending on the degree of operationalization as per government orders, employment prospects have widened after the complete lockdown period has elapsed. The Government of Himachal Pradesh had rolled out the skill register (https://skillregister.hp.gov.in/) to capture the impact of COVID-19 in the month of July 2020. There are around 16,243 people who have registered themselves on this portal till February 2021 and have shown interest in employment opportunities. To understand the current employment situations among the respondents and job needs, a skill study was conducted from November 2020 to February 2021. Seventy-five percent of these registrations are from four districts of Himachal Pradesh namely Kangra, Hamirpur, Mandi, and Una. Data was collected from 550 respondents by using the simple random sampling method. The study highlights that around 56% of respondents registered in the skill portal had lost jobs due to COVID-19 lockdown.

Respondents shared that the skill mission of Himachal Pradesh made substantial efforts and around 47% of the respondents were connected to the various opportunities available in industries within Himachal Pradesh. Out of these, relevant industrial units had contacted around 13% of respondents and only one respondent out of 550 respondents had joined the job. Low salary, lack of jobs in the preferred area, the mismatch between required qualifications and experiences, risk of transmission of COVID-19, etc., remained as major reasons for the refusal of jobs by the respondents. The result highlights that the parameters like relevant experiences, pre COVID -19 salary, education level, technical skills, urgency of job are some of the potential factors which are considered by the respondents to return to the industry.

Previous research suggests that women receive less critical attention and acclaim in popular music. The authors expect that gender differences in the amount and content of media discourse about popular musicians occur because music critics draw on the cultural frame of gender as a primary tool for critical evaluation. In order to explore the role of gender as a frame through which aesthetic content is evaluated, the authors conduct detailed content analyses of 53 critical reviews of two versions of the popular album 1989 – the original released by Taylor Swift in 2014 and a cover version released by Ryan Adams less than a year later. Despite Swift’s greater popularity and prominence, the authors find that reviews of her version of the album are more likely to focus on her gender and sexuality; less likely to describe her as emotionally authentic; and more likely to use popular aesthetic criteria in evaluating her music. By contrast, Ryan Adams was more likely to be seen by critics as emotionally authentic and to be described using high art aesthetic criteria and intellectualizing discourse. The authors address the implications of the findings for persistent gender gaps in many artistic fields.

The present study aims to assess the role of supply chain resilience as an operational excellence approach to deal with disruptions caused by coronavirus pandemic in the food supply chain of an agri-food supply firm.

The case study method was used to analyse the disruptions faced by the agricultural food supply chain during the pandemic. The study applies a dynamic capability theory as a foundation to develop a contextualised resilience framework for agri-food supply chain to achieve operational excellence. The case has been analysed by using situation-actor-process (SAP) and learning-action-performance (LAP) framework.

The SAP aspect of framework points that the flexibility amongst actors for a resilient agriculture supply chain worsened due to the lockdown measures post COVID-19. The LAP aspect of framework suggests how resilience can be built at the supply, demand and logistics end through various proactive and reactive practices such as collaboration, coordination, ICT and ground-level inputs. Lack of commitment and inadequate support from top management towards supply chain resilience are also observed as significant challenges to maintain operational excellence during the pandemic.

One of the major implications of the study is that a mix of capabilities rather than a single capability can be the most appropriate way for making the supply chain resilient to maintain operational excellence during the pandemic. However, the sources of disruptions need to be duly recognised to derive the best-contextualised resilience framework for agri-food supply chains.

The development of a contextualised research framework as well as research propositions for analysing supply chain resilience are the major contribution of this study.

This study explores the factors that impact the quality of fresh produce in the transportation phase of the supply chain and the mitigation framework for improving the quality to curb the losses.

This study aimed for an exploratory analysis using both quantitative and qualitative research methods. Using a questionnaire with responses from 172 transporters from the Uttar Pradesh region, India, primary data were gathered through a survey. Factors were identified using factor analysis and mitigation strategies were suggested for the factors through semi-structured interviews with six experts in transportation, agribusiness and food supply chain.

Four factors that impact the quality were identified based on the factor analysis, namely operational issues, poor preservation, lack of ease of in-transit and poor infrastructure. The operational issue was found to be the main factor influencing the quality of fresh produce. The study also proposed the mitigation framework for the factors based on the interview results.

The present study is confined to the fresh produce supply chain transportation process, particularly fruits with an emphasis on the Uttar Pradesh region, India.

There is a lack of literature on implying mitigation strategies for factors affecting fresh produce quality in the transport process in India. Thus, this study attempts to fulfill this gap and has added to the food supply chain literature that could help scholars and practitioners in improving the food supply chain in developing economies.

The purpose of this paper is to study and develop supply chain structure of traditional Indian agri-fresh food supply chain (AFSC). This paper proposes a mathematical model to design a traditional Indian AFSC to minimize total distribution cost and post-harvest losses in the chain.

This paper formulates two mathematical models to structure and represent the flow of products in the existing chain. First, a three-echelon, multi-period, multi-product, mixed-integer linear programming (MILP) model is formulated to minimize the total distribution cost incurred in the chain. Further, the developed formulation is extended by considering the perishability of products in the second model.

A real case study problem of Mandsaur district (India) is solved in LINGO 17.0 package to check the validity of the formulated models. The perishable (second) model of AFSC reports better results in terms of costs and post-harvest losses minimization. The results revealed that 92% of the total distribution cost incurred in the transportation of products from farmers to the hubs.

This paper includes implications for redesigning an existing supply chain network by incorporating an appropriate transportation strategy from farmers to hubs to minimize transportation inefficiency and enhance the profitability of farmers.

The formulated AFSC model would help managers and policymakers to identify optimal locations for hubs where required infrastructure would be developed.

According to the author's best knowledge, this paper is the first to design traditional Indian AFSC by considering the perishability of products.