 Subjects -> CONSERVATION (Total: 128 journals)
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- A Scientometric Analysis of COVID-19 and Social Media Marketing
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Authors: Shekhar; Suraj Kushe, Mohanan, Mrudhusha, Kandoth, Sneha
Pages: 1 - 18
Abstract: This study gives a comprehensive picture of various trends of worldwide scientific research on the impact of COVID-19 on social media marketing from 2019 to early 2022. Relevant articles were retrieved from the Scopus database using specific keywords, and a bibliometric analysis was performed in Biblioshiny, an R-based software package. An examination of a total of 603 papers on the themes ‘COVID-19' and ‘social media marketing' indicated reasonably good collaboration among authors and a whooping scientific production worldwide in the last two years. Bina Nusantara University was the highest contributor to the chosen theme used in the study. Indonesia topped the list in single country publications. The UK had the highest multiple country publication. The UK, China, Spain, and India were the most cited countries. The output of the study may help the researchers and marketers understand the trending areas in social media marketing during COVID-19.
Keywords: Environmental Science and Technologies; Environment & Agriculture; Sustainable Development
Citation: International Journal of Social Ecology and Sustainable Development (IJSESD), Volume: 14, Issue: 1 (2023) Pages: 1-18
PubDate: 2023-01-01T05:00:00Z
DOI: 10.4018/IJSESD.320220
Issue No: Vol. 14, No. 1 (2023)
- Twitter-Based Disaster Response Using Machine Learning
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Authors: Lamsal; Rabindra, Kumar, T. V. Vijay
Pages: 1 - 18
Abstract: Twitter, a microblogging platform, receives real-time information via informal conversations, and it has, accordingly, become the main source of data for research studies based on emergency situational awareness. Millions of tweets are posted on Twitter every day, and during disasters, the frequency of tweets relating to an on-going crisis event grows exponentially. This unprecedented increase in the number of tweets during disasters needs to be monitored, identified, processed, and analyzed so that necessary measures can be taken at the earliest to reduce the loss or damage during emergencies. However, due to large voluminous data being available during crisis hours, it is almost impossible for a human to perform these tasks in real time. In this regard, a semi-automated AI-based disaster response system for Twitter data is proposed. The proposed disaster response system would be capable of extracting essential situational awareness information related to a disaster and would also be capable of sketching tentative area of critically affected population.
Keywords: Environmental Science and Technologies; Environment & Agriculture; Sustainable Development
Citation: International Journal of Social Ecology and Sustainable Development (IJSESD), Volume: 14, Issue: 1 (2023) Pages: 1-18
PubDate: 2023-01-01T05:00:00Z
DOI: 10.4018/ijsesd.320650
Issue No: Vol. 14, No. 1 (2023)
- Sustainability Through Total Factor Productivity Growth in Agriculture
Incorporating Institutional Factors-
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Authors: Das; Ramesh Chandra
Pages: 1 - 16
Abstract: With the increasing population pressure and food insecurity problem in India, and the problem of unsustainable social and economic systems, it was inevitable to shift away the focus of agricultural activities from the traditional system to the modern one. Having followed a series of agricultural policies in India, the role of irrigation and institutional credits cannot be denied upon the growth of output in the sector. There are some studies on the total factor productivity growth (TFPG) in Indian agriculture, but a few studies cover the role of irrigation and bank credit upon agriculture output. The present study computes TFPG out of the institutional roles through public irrigation facilities and commercial bank credit besides traditional inputs in Indian agricultural sector for the post globalized era of 1991-2019. Using the growth accounting approach, the study finds that the institutional factors such as public irrigation facilities and bank finances have contributed significantly to the growth of the agricultural output in India as the values of TFPG have increased over time.
Keywords: Environmental Science and Technologies; Environment & Agriculture; Sustainable Development
Citation: International Journal of Social Ecology and Sustainable Development (IJSESD), Volume: 14, Issue: 1 (2023) Pages: 1-16
PubDate: 2023-01-01T05:00:00Z
DOI: 10.4018/IJSESD.319717
Issue No: Vol. 14, No. 1 (2023)
- Adoption and Usage of Over-the-Top Entertainment Services
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Authors: Vaidya; Himanshu, Fernandes, Semila, Panda, Rajesh
Pages: 1 - 18
Abstract: Over-the-top (OTT) is the name of media entertainment services delivered over the internet, bypassing traditional mediums. The consumer preference for OTT entertainment platforms is increasing at a fast rate and is showing promising signs for the future, so it is important to understand the extent of existing literature. This study is a thematic literature review undertaken to identify and highlight key themes related to the adoption and usage of OTT entertainment services. It includes a thorough literature review of 94 research articles sampled systematically. This study will highlight the widely researched themes and the lesser-focused areas of study within the realm of over-the-top entertainment adoption and usage. Adoption and usage of OTT entertainment services, the shift in the medium of consumption, and the impact of OTT entertainment services on related technologies are some of the primary themes identified in the study. This study will provide critical insights and valuable knowledge to industry players and guide academicians for future research opportunities.
Keywords: Environmental Science and Technologies; Environment & Agriculture; Sustainable Development
Citation: International Journal of Social Ecology and Sustainable Development (IJSESD), Volume: 14, Issue: 1 (2023) Pages: 1-18
PubDate: 2023-01-01T05:00:00Z
DOI: 10.4018/IJSESD.319718
Issue No: Vol. 14, No. 1 (2023)
- Monitoring the Land Use, Land Cover Changes of Roorkee Region
(Uttarakhand, India) Using Machine Learning Techniques-
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Authors: Kumar; Ashish, Garg, Rahul Dev, Singh, Prabhishek, Shankar, Achyut, Nayak, Soumya Ranjan, Diwakar, Manoj
Pages: 1 - 16
Abstract: Satellite images play an important role for capturing Earth's surface. Using satellite images land cover monitoring could be done through which the modification or changes on land surface could be identified. Comparison can be made on the basis of past satellite image analysis, which helps to identify the changes that are occurring or have already occurred. Although there exist many techniques for land cover monitoring, proper land cover identification and detection of changes on the land cover is still a challenge. In the recent years, machine learning techniques have been utilized in distinct areas of image analysis and resulted in positive outcomes. Hence, in this paper, four supervised machine learning algorithms (i.e., support vector machine [SVM]), neural network [NN], maximum likelihood [MLC], and parallelepiped [PP] algorithms) have been utilized for land cover identification and detecting the amount of changes that have occurred in the individual land cover classes.
Keywords: Environmental Science and Technologies; Environment & Agriculture; Sustainable Development
Citation: International Journal of Social Ecology and Sustainable Development (IJSESD), Volume: 14, Issue: 1 (2023) Pages: 1-16
PubDate: 2023-01-01T05:00:00Z
DOI: 10.4018/IJSESD.316883
Issue No: Vol. 14, No. 1 (2023)
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