Mahabir Narwal and Rajinder Singh
The aim of this paper is to explore different areas of CSR covered by the companies in India and to have a comparative analysis of such practices of Indian companies and MNCs…
Abstract
Purpose
The aim of this paper is to explore different areas of CSR covered by the companies in India and to have a comparative analysis of such practices of Indian companies and MNCs working in India.
Design/methodology/approach
The sample for the present study consisted of 38 companies including 18 Indian companies and 20 MNCs of different countries working in India across various industries. The data thus generated was analyzed with the help of ANOVA and factor analysis.
Findings
The study finds that there is a little difference in CSR practices of Indian companies and MNCs and that is in terms of importance/focused areas of CSR. Companies are adopting CSR practices of environmental marketing, sustainable development, local community support, and transparency and accountability.
Originality/value
MNCs are adopting almost the same CSR practices as adopted by their counterpart Indian companies. Thus, MNCs are adhering to the prevailing business practices in host countries.
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Paramita Ray and Amlan Chakrabarti
Social networks have changed the communication patterns significantly. Information available from different social networking sites can be well utilized for the analysis of users…
Abstract
Social networks have changed the communication patterns significantly. Information available from different social networking sites can be well utilized for the analysis of users opinion. Hence, the organizations would benefit through the development of a platform, which can analyze public sentiments in the social media about their products and services to provide a value addition in their business process. Over the last few years, deep learning is very popular in the areas of image classification, speech recognition, etc. However, research on the use of deep learning method in sentiment analysis is limited. It has been observed that in some cases the existing machine learning methods for sentiment analysis fail to extract some implicit aspects and might not be very useful. Therefore, we propose a deep learning approach for aspect extraction from text and analysis of users sentiment corresponding to the aspect. A seven layer deep convolutional neural network (CNN) is used to tag each aspect in the opinionated sentences. We have combined deep learning approach with a set of rule-based approach to improve the performance of aspect extraction method as well as sentiment scoring method. We have also tried to improve the existing rule-based approach of aspect extraction by aspect categorization with a predefined set of aspect categories using clustering method and compared our proposed method with some of the state-of-the-art methods. It has been observed that the overall accuracy of our proposed method is 0.87 while that of the other state-of-the-art methods like modified rule-based method and CNN are 0.75 and 0.80 respectively. The overall accuracy of our proposed method shows an increment of 7–12% from that of the state-of-the-art methods.
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This Food Standards Committee Report has been with us long enough to have received careful appraisal at the hand of the most interested parties — food law enforcement agencies and…
Abstract
This Food Standards Committee Report has been with us long enough to have received careful appraisal at the hand of the most interested parties — food law enforcement agencies and the meat trade. The purposes of the review was to consider the need for specific controls over the composition and descriptive labelling of minced meat products, but the main factor was the fat content, particularly the maximum suggested by the Associaton of Public Analysts, viz., a one‐quarter (25%) of the total product. For some years now, the courts have been asked to accept 25% fat as the maximum, based on a series of national surveys; above that level, the product was to be considered as not of the substance or quality demanded by the purchaser; a contention which has been upheld on appeal to the Divisional Court.
Sandeep Singh, Muskaan Arora, Rajinder Kaur, Amita Rani and Payal Kathuria
This study aims to examine the relationship between religious commitment (RC), environmental values (EVs), behaviour intentions and awareness. In this study, EV is studied as a…
Abstract
Purpose
This study aims to examine the relationship between religious commitment (RC), environmental values (EVs), behaviour intentions and awareness. In this study, EV is studied as a mediator between the relationship of RC and environmental behavioural intentions. Finally, this study examines the conditional effect of environmental awareness on this mediation.
Design/methodology/approach
This study was conducted in the textile industry in Punjab, India. The sample for this study was 259 managers of different textile firms. The data was collected on standardised scales. Partial least squares structural equation modelling was used to examine the direct and indirect effects in this study.
Findings
It was found that the indirect effect between RC and environmental behaviour intention was significant through EV. This study confirmed that the mediation between the variables was moderated by environmental awareness.
Practical implications
Based on the tested model, textile organisations can improve their corporate social responsibility practices. This study highlights the importance of encouraging environmental awareness among textile industry employees, especially those with religious convictions, to reduce environmental impacts. It suggests ecological training, education initiatives and implementing eco-friendly policies.
Originality/value
This study provides a model based on social and psychological factors. The findings of this study can be applied in the textile industry to augment environmentally friendly behaviour among managers. The perspective of moderated meditation among the relationships of variables carries a unique value in this study. Furthermore, this study combines social factors like religion with environmental psychology within business settings. In this way, study carries a unique value.
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Sonia Singh, Ankita Bansal, Rajinder Sandhu and Jagpreet Sidhu
This paper has proposed a Fog architecture-based framework, which classifies dengue patients into uninfected, infected and severely infected using a data set built in 2010. The…
Abstract
Purpose
This paper has proposed a Fog architecture-based framework, which classifies dengue patients into uninfected, infected and severely infected using a data set built in 2010. The aim of this proposed framework is to developed a latency-aware system for classifying users into different categories based on their respective symptoms using Internet of Things (IoT) sensors and audio and video files.
Design/methodology/approach
To achieve the aforesaid aim, a smart framework is proposed, which consist of three components, namely, IoT layer, Fog infrastructure and cloud computing. The latency of the system is reduced by using network devices located in the Fog infrastructure. Data generated by IoT layer will first be processed by Fog layer devices which are in closer proximity of the user. Raw data and data generated will later be stored on cloud infrastructure, from where it will be sent to different entities such as user, hospital, doctor and government healthcare agencies.
Findings
Experimental evaluation proved the hypothesis that using the Fog infrastructure can achieve better response time for latency sensitive applications with the least effect on accuracy of the system.
Originality/value
The proposed Fog-based architecture can be used with IoT to directly link it with the Fog layer.
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Rimsha Khalid, Rajinder Kumar, Rupa Sinha, Kareem M.M. Selem and Mohsin Raza
Given the prevalence of protecting geoheritage tourism sites, Ladakh has enormous potential. However, Ladakh’s potential and developments in its growth as a geotourism destination…
Abstract
Purpose
Given the prevalence of protecting geoheritage tourism sites, Ladakh has enormous potential. However, Ladakh’s potential and developments in its growth as a geotourism destination have received scant consideration. As such, this paper aims to explore Ladakh’s key drivers as a potential geotourism destination through cognitive dissonance and protection motivation theories.
Design/methodology/approach
This paper conducted in-depth interviews with 86 geoscientists and tourism professionals to assess Ladakh’s potential as a geotourism destination. This paper used a qualitative approach to congregate four constructs based on the image difference of the consensus map.
Findings
Because of the interviewees’ heterogeneity and uniqueness, meaningful constructs in the consensus were included for each figure and cloud words. This paper concluded that four drivers are the main forces behind geotourism development.
Originality/value
This paper explores the drivers – geotourism services, legislative requirements, experiential geotourism and SPARC (scientific, preservation, aesthetic, recreational, cultural) values – affecting geotourism in Ladakh. It is feasible to lessen the negative effects of overtourism and make sure that Ladakh’s distinctive nature is preserved for future generations by implementing sustainable tourism practices.
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Premendra Kumar Singh, Dikshit Gupta, Rajinder Kumar, Raju Ganesh Sunder and Bidhu Kanti Das
Purpose: This study examines how corporate social responsibility (CSR) affects Tata enterprises’ financial performance. Numerous studies have examined how CSR affects company FP…
Abstract
Purpose: This study examines how corporate social responsibility (CSR) affects Tata enterprises’ financial performance. Numerous studies have examined how CSR affects company FP, with mixed results. The large variety of outcomes may have been due to erroneous analysis or insignificantly controlled variables, but the most likely explanation is that different research utilised different approaches. This study examines the relationship between CSR and financial performance in India using Tata Group companies listed on the BSE100.
Methodology: The BSE100-listed Tata companies were chosen for investigation because Tata's are pioneer in philanthropy and CSR. The present investigation relies on data obtained from annual reports and sustainability reports of the respective companies for a period of 10 years (2013–2022). Regression analysis was performed using Stata version 14 to evaluate the relationship between CSR spending and financial performance.
Research limitation: The study is confined to 7 Tata companies indexed in the BSE100 for 10 years (FY2013–FY2022).
Social implication: Tata companies’ ethics and philanthropy activities are landmarks in Indian society that can be used to motivate the business stakeholders to contribute more to CSR. The tourism companies can use Tata's CSR model to grow their financial performance.
Findings: The findings of the study depict that financial performance is positively impacted by the amount spent on CSR by the companies. Companies that invest more in CSR have higher profitability, ROA, ROE, EPS, MB Ratio and MR_Daily.
Originality: This chapter will add comprehensive knowledge about the relationship of CSR and financial performance.
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Rajinder Kaur, Amrita Saini and Sandeep Singh
To overcome the problem of over tourism, depletion of natural resources and various adverse effects on local communities, sustainable tourism has emerged with the different…
Abstract
To overcome the problem of over tourism, depletion of natural resources and various adverse effects on local communities, sustainable tourism has emerged with the different eco-friendly approaches. Without the usage of online resources, green tourism cannot be promoted. Hence, this chapter demonstrates the significance of digital media platforms to promote sustainable tourism. The chapter is based on descriptive study and primarily used the secondary sources of data. The data is primarily supported by credible, previously published works, such as journal articles and working papers. The primary focus is placed on the importance of digital media platforms in promoting sustainable tourism. The findings demonstrated that with the assistance of digital technology, tourist destinations can move forward on the path of sustainability as it contributed positively for the sustainability of tourist destinations. The adopting digital technology has become essential for advancing environmentally friendly travel since it leads to enhancement in destination marketing, improvement in the management of tourist resources as well as enrich the visitor experience.