Stakeholder engagement in carbon reduction engineering: A perspective analysis of production optimization leveraging social-media interactions

Zakaria Hathat, V.G. Venkatesh, V. Raja Sreedharan, Tarik Zouadi, Yangyan Shi and Manimuthu Arunmozhi
Additional contact information
Zakaria Hathat: UIR - Université Internationale de Rabat
V.G. Venkatesh: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
V. Raja Sreedharan: Cardiff Metropolitan University
Tarik Zouadi: UIR - Université Internationale de Rabat
Yangyan Shi: Macquarie University [Sydney], CUEB - Capital University of Economics and Business
Manimuthu Arunmozhi: Aston Business School - Aston University [Birmingham]

Post-Print from HAL

Abstract: This study investigates the complex dynamics of stakeholder engagement on social media platforms within the context of carbon reduction engineering. To shed light on this underexplored phenomenon, we gather a unique dataset of 6,940 Facebook-verified page posts, and we employ advanced data mining techniques to analyze the factors influencing stakeholder engagement. The findings demonstrate the significant impact of post characteristics on stakeholder engagement rates. Factors such as post length, hashtags, vividness level, hyperlinks, and the inclusion of call-to-action (CTA) play essential roles in shaping engagement patterns. Specifically, we find that shorter posts without hashtags tend to have lower engagement, while posts with moderate character counts, low vividness, and no hyperlinks often generate higher engagement. Additionally, our topic modeling analysis identifies critical themes discussed in carbon reduction engineering, including collaborative efforts among stakeholders, the role of academic institutions, renewable energy adoption, AI technology, and climate change mitigation. This, in turn, highlights the diverse perspectives and concerns of stakeholders actively engaged in these discussions. Our results significantly expand the literature on stakeholder theory, social interaction management, and the application of data mining techniques in analyzing social media engagement.

Keywords: Carbon reduction engineering; Stakeholder engagement; Social interaction management; CHAID decision tree; Topic modeling; Social media; Facebook (search for similar items in EconPapers)
Date: 2025-02
Note: View the original document on HAL open archive server: https://hal.science/hal-04992181v1
References: Add references at CitEc
Citations:

Published in Computers & Industrial Engineering, 2025, 200, pp.110807. ⟨10.1016/j.cie.2024.110807⟩

Downloads: (external link)
https://hal.science/hal-04992181v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04992181

DOI: 10.1016/j.cie.2024.110807

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().