Gyanesh Govindarajan, K.A. Geetha, Santosh K. Patra and T.T. Sreekumar
This article attempts to highlight the defining role that community media engagements play during times of the pandemic. It is argued that the outbreak of COVID-19 pandemic forced…
Abstract
Purpose
This article attempts to highlight the defining role that community media engagements play during times of the pandemic. It is argued that the outbreak of COVID-19 pandemic forced community news media houses to reinvent their news reporting practices to cover issues pertaining to the marginalized and underprivileged sections of the society. It explores the role of community media in engaging and empowering the citizens during the COVID-19 pandemic.
Design/methodology/approach
Central to our study is the analysis of the news model of “Video Volunteers” (henceforth VV), an independent community-based online news platform based in India. To understand the level of citizen participation and engagement in the making and dissemination of news during the pandemic, the authors conducted 13 interviews with different stakeholders of VV, including founders and news audiences.
Findings
It seeks to reveal that when the mainstream media have failed to represent the issues of a local community, it is the independent media platforms like VV which function as a veritable source of information and sharing of knowledge. Most importantly, this paper emphasizes that the communicative model of independent community-based online platforms has been most successful in the coverage of the pandemic and the level of engagement with the citizenry.
Originality/value
The study contributes to the aspects of reciprocity and collaborative journalism in community news media and its potential impacts on news creation and dissemination.
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Keywords
Shivani Trivedi and Santosh K. Patra
COVID-19 was the most catastrophic pandemic in modern history. It has a massive impact on people's lives and a variety of sectors. One of the most impacted sectors is the travel…
Abstract
COVID-19 was the most catastrophic pandemic in modern history. It has a massive impact on people's lives and a variety of sectors. One of the most impacted sectors is the travel and tourism industry. The tourism business was the first to be severely impacted by the epidemic, which had a wide range of effects on other parts of society. As a result, studying tourists' behavior as a core aspect of this industry and predicting their travel pattern variation after the COVID-19 outbreak has become a critical concern. To understand the damaging effects of this global calamity on tourism, this book chapter focuses on the concerns and perspectives of multiple stakeholders. It conducts a thematic analysis to investigate travelers' perceptions and travel issues after the COVID-19 pandemic.
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This paper aims to analyse trends and determinants of NPAs in India's banks. It has empirically examined the bank-specific determinants of NPAs.
Abstract
Purpose
This paper aims to analyse trends and determinants of NPAs in India's banks. It has empirically examined the bank-specific determinants of NPAs.
Design/methodology/approach
An FE panel estimation of a sample of 44 banks was carried out for the post-crisis time period, from 2010 to 2020 to identify the bank-specific determinants of NPAs. The sample of 44 banks includes 20 PSBs, 19 private banks and 5 foreign banks. Separate FE estimation was also carried out to identify the drivers of NPAs in PSBs.
Findings
The determinant of NPAs during the post-crisis period suggests that faulty earning management and deterioration in loan quality have resulted in high NPAs in India's banks. The result is similar for PSBs as well.
Research limitations/implications
The findings of the study suggest that the banks, especially the Public Sector Banks (PSBs) need to revisit their earning management strategies to maximise income and improve their loan quality in order to reduce the incidence of loan failure.
Originality/value
The paper contributes by empirically analysing the determinants of NPAs during the recent decade, between 2010 and 2020. Separate estimations have been carried out to understand whether the drivers of NPAs differ in the case of PSBs.
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Santosh Kumar Sahu, P.S. Rama Sreekanth, Y.P. Deepthi, Quanjin Ma and Tunji John Erinle
This study aims to investigate the mechanical properties of sustainable recycled polypropylene (rPP) composite materials integrated with spherical silicon carbide (SiC) particles.
Abstract
Purpose
This study aims to investigate the mechanical properties of sustainable recycled polypropylene (rPP) composite materials integrated with spherical silicon carbide (SiC) particles.
Design/methodology/approach
A representative volume element (RVE) analysis is employed to predict the Young’s modulus of rPP filled with spherical-shaped SiC at varying volume percentages (i.e. 10, 20 and 30%).
Findings
The investigation reveals that the highest values of Young’s modulus, tensile strength, flexural strength and mode 1 frequency are observed for the 30% rPP/SiC samples, exhibiting increases of 115, 116, 62 and 15%, respectively, compared to pure rPP. Fractography analysis confirms the ductile nature of pure rPP and the brittle behavior of the 30% rPP/SiC composite. Moreover, the RVE method predicts Young’s modulus more accurate than micromechanical models, aligning closely with experimental results. Additionally, results from ANSYS simulation tests show tensile strength, flexural strength and frequency within a 10% error range when compared to experimental data.
Originality/value
This study contributes to the field by demonstrating the mechanical enhancements achievable through the incorporation of sustainable materials like rPP/SiC, thereby promoting environmentally friendly engineering solutions.
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This study aims to comprehend the application of analytics in the supply chain during the ongoing COVID-19 crisis and identify the emerging themes.
Abstract
Purpose
This study aims to comprehend the application of analytics in the supply chain during the ongoing COVID-19 crisis and identify the emerging themes.
Design/methodology/approach
The author downloaded a list of research articles on the application of analytics to the supply chain from SCOPUS, conducted a systematic literature review for exploratory analysis and proposed a framework. Notably, the author used the topic modeling technique to identify research themes published during the ongoing COVID-19 crisis and thereby underscore some future research directions.
Findings
The author found that artificial intelligence, machine learning, internet of thing and blockchain are trending topics. Additionally, the author identified five themes by topic modeling, including the theme “Social Media information in Supply chain.”
Research limitations/implications
The results were derived from a data set extracted from SCOPUS. Thus, the author excluded all studies not listed in SCOPUS from the analysis. Future research with articles indexed in other databases should be investigated to get a more holistic perspective of specific themes.
Practical implications
This study provides a deeper understanding and proposes a framework for applications of analytics in the supply chain that researchers could use for future research and industry practitioners to implement in their organizations to make a more sustainable and resilient supply chain.
Originality/value
This study provides exploratory information from published articles on the use of analytics in the supply chain during the COVID-19 crisis and generates themes that help understand the emerging and underpinned area of research.