Citation

Rubiyanti, Nurafni and Lim, Ying San and Widodo, Arry and Lim, Ying Zhee and Silvianita, Anita and Ng, Tuan Hock and Purnama, Anton and Arafah, Burhanuddin (2023) Bibliometric analysis of honeycomb model: research trend in social media marketing. In: : International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 2023, Istanbul, Turkey.

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Abstract

The honeycomb model serves as a comprehensive framework for understanding social media engagement. It encompasses seven dimensions, including identity, conversations, sharing, presence, relationships, reputation and groups. This study utilised a bibliometric analysis to examine keywords related to the honeycomb model, revealing distinct clusters that highlight practical aspects, theoretical frameworks, mathematical and computational aspects as well as a broad range of topics. The analysis showcased the multidimensional nature of the honeycomb model's research landscape and its significance across diverse sectors. The findings provided valuable insights for businesses and researchers seeking to enhance social media engagement and develop effective marketing strategies.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	H Social Sciences > HF Commerce > HF5001-6182 Business > HF5410-5417.5 Marketing. Distribution of products
Divisions:	Faculty of Business (FOB)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	23 Feb 2024 04:28
Last Modified:	23 Feb 2024 04:28
URII:	http://shdl.mmu.edu.my/id/eprint/12123

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