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131 results on '"Alathur, Sreejith"'

2. Recent Technological Developments in the Tourism Industry: A Bibliometric Analysis

Author

Talawar, Abhishek, Sheena, Suresh, Alathur, Sreejith, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Joshi, Amit, editor, Mahmud, Mufti, editor, Ragel, Roshan G., editor, and Kartik, S., editor

Published
2024
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7. Climate Policy and e-Participation Resilience: Insights from Social Media

Author

Alathur, Sreejith, Chetty, Naganna, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Elbanna, Amany, editor, McLoughlin, Shane, editor, Dwivedi, Yogesh K., editor, Donnellan, Brian, editor, and Wastell, David, editor

Published
2022
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8. Social Media Enabled Rehabilitation Services: Influence of Covid-19 Metaphors

Author

Alathur, Sreejith, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Tuba, Milan, editor, Akashe, Shyam, editor, and Joshi, Amit, editor

Published
2022
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9. Factors Influencing E-Learning Adoption in India: Learners' Perspective

Author

Vanitha, P. S. and Alathur, Sreejith

Abstract

In the era of electronic-learning 3.0, existing dimensions related to technologies and learner are not adequately explored while discussing e-learning adoption. In the current study, technology and learner dimensions are converged to overcome this insufficiency in analysing e-learning adoption. Earlier studies have reported less about e-learning adoption in higher education through the users' lens. System parameters and learner attributes were derived from theories of information systems and literature on learning theories. To validate the research model, 704 responses were collected through a questionnaire survey from India, where e-learning is gearing up. The present article utilised Partial Least Square Structural Equation Modeling (PLS-SEM), which describes the relationship between constructs in the research model. The study identifies technology and learner dimension factors that influence e-learning adoption in developing countries like India. The study also put forward implications and policy recommendations from the findings.

Published
2021
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15. Child Online Safety Intervention Through Empowering Parents and Technical Experts: Indian Context

Author

Andrews, Dittin, Alathur, Sreejith, Chetty, Naganna, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Sharma, Sujeet K., editor, Dwivedi, Yogesh K., editor, Metri, Bhimaraya, editor, and Rana, Nripendra P., editor

Published
2020
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16. Health Fear Mongering Make People More Sicker: Twitter Analysis in the Context of Corona Virus Infection

Author

Vasudevan, Jayan, Alathur, Sreejith, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Sharma, Sujeet K., editor, Dwivedi, Yogesh K., editor, Metri, Bhimaraya, editor, and Rana, Nripendra P., editor

Published
2020
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17. Developing Indian Smart Cities: Insights from Social Media

Author

Chetty, Naganna, Alathur, Sreejith, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Sharma, Sujeet K., editor, Dwivedi, Yogesh K., editor, Metri, Bhimaraya, editor, and Rana, Nripendra P., editor

Published
2020
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18. Cloud-Based E-Learning Service: Insight from India

Author

Vanitha, P. S., Alathur, Sreejith, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Fong, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2020
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19. Women Empowerment Through Social Media: Insights from India

Author

Pai, Rajesh R., Alathur, Sreejith, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Fong, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2020
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20. Policies to Mitigate Select Consequence of Social Media: Insights from India

Author

Chetty, Naganna, Alathur, Sreejith, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Tuba, Milan, editor, Akashe, Shyam, editor, and Joshi, Amit, editor

Published
2020
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35. Metaverse revolution and the digital transformation: intersectional analysis of Industry 5.0.

Author

Agarwal, Ayushi and Alathur, Sreejith

Abstract

Purpose: This study aims to investigate metaverse elements affecting digital transformation and examine how the metaverses' enabled digital transformation affects Industry 5.0. Design/methodology/approach: This paper adopts intersectional research methodologies to understand how metaverse technologies facilitate digital transformation and contribute to Industry 5.0. The Metaverse literature is bibliometrically analyzed to identify the intersection of digital transformation and components of Industry 5.0. Findings: The conceptualization of the metaverse, its ecosystem and its enabling technologies are consistent with the human-centric, resilient and sustainable vision of the industrial revolution. The findings show that scientific research into digital transformation contributes to refining potential conflicts and tensions that may arise at the intersection of the metaverse and Industry 5.0. Research limitations/implications: Study have significant implications for digital transformation research, as transformation studies help to fine-tune emerging technologies such as the metaverse for the industrial revolution. Based on the findings, the authors have provided a threat model for the Sustainable Metaverse Revolution. Social implications: The utility of metaverse technologies in industrial revolutions necessitates the formulation of business model policies that promote the metaverse-enabled digital transformation. Policy recommendations for integrated development approaches are also provided in this paper. Originality/value: The metaverse-enabled digital transformation and its implications for the industrial revolution are less reported. The current study addresses the importance of such intersectional studies. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Role of Industry 4.0 in agile manufacturing to achieve sustainable development.

Author

Agarwal, Vernika, Hameed, Abdul Zubar, Malhotra, Snigdha, Mathiyazhagan, K., Alathur, Sreejith, and Appolloni, Andrea

Subjects
INDUSTRY 4.0, SUSTAINABILITY, DISRUPTIVE innovations, CONTAINER industry, CHANGE theory, AUTOMOBILE industry
Abstract

The business world is becoming increasingly complex, disrupted, and uncertain. As Industry 4.0 (I4.0) takes shape, to endure this change and focus on growth, industries must learn to embrace change and move quickly; this is particularly so for the automotive industry, which is a major sector of any economy. Agility is needed to embrace this change and promote sustainability across every industry. To face these contingencies, it is essential to identify and understand the strategies that can aid industries in sustaining real‐time scenarios. In this paper, we aim to assess the agility indicators that bring resilience to the inclusion of I4.0 and sustainability in the automotive sector. The unexpected changes in the environment related to sustainability and technological disruptions of I4.0 require the identification of sustainable agile mitigation strategies to manage such situations. The fuzzy Delphi methodology assesses agility indicators based on a questionnaire for prioritization. Further, the fuzzy technique for order performance by similarity to ideal solution (TOPSIS) is utilized to prioritize these agility indicators with the agility strategies that manufacturing industries can deploy to enhance the sustainability of their operations. The fuzzy extension to the methodologies helps in incorporating vagueness and ambiguity in the decision‐making process. A fuzzy approach to prioritizing agile strategies as the industries are changing is helpful. The decision makers have only a few clear ideas about how best to integrate them. Among the agile strategies, "resilience," "technological capabilities," and "customer‐centric innovation" are the top strategies. By executing the strategies suggested in the study and understanding the agility indicators, practitioners can ensure resilience in the work systems and minimize the impact of the disruptions caused by the industrial revolution. Thus, this research has been underpinned by the organizational change theory and discusses all mitigation strategies concerning the rapid changes organizations are facing with the fourth industrial revolution. [ABSTRACT FROM AUTHOR]

Published
2023
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42. Assessing the moderating effects of involvement on tourist attitudes and intentions through virtual reality applications

Author

Talawar, Abhishek, Suresh, Sheena, and Alathur, Sreejith

Abstract

Purpose: This paper aims to evaluate the impact of various preview modes on tourist attitudes and intentions to visit a destination based on consumers’ level of involvement in travel decision-making. Design/methodology/approach: The study was conducted as a between-subjects one-factor [preview mode: static images vs 360-degree tour vs virtual reality (VR) mode] in a laboratory experiment setup to examine how consumers with different levels of involvement in travel decision-making respond to destination marketing toward three different preview modes. Findings: The findings indicated that VR preview mode highly influences tourist attitudes and visit intentions toward a destination compared to static images and 360-degree tours. This effect is more significant among participants with higher levels of customer involvement. Finally, the results from the study offer empirical evidence of the effectiveness of VR in shaping user behavior compared to traditional preview modes. Research limitations/implications: The limitations are using a non-probability sampling method, a small sample size and affordable mobile-compatible VR headsets. Practical implications: This study offers empirical evidence on the effectiveness of VR in shaping tourist behavior compared to traditional preview modes. It helps destination marketers develop appropriate strategies for promoting tourist destinations. Originality/value: The novelty of this paper lies in understanding the effectiveness of VR in shaping tourist behavior with different levels of customer involvement in travel decision-making.

Published
2023
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