数字运营学系 吕俊杰 Industrial Management & Data Systems 2023-12-04

数字运营学系 吕俊杰 Industrial Management & Data Systems   2023-12-04

Lv, J.J, Yang, R.Y., Yu, J.Y., Yao, W.J. and Wang, Y.Z. (2023), “Macro-influencers or meso-influencers, how do companies choose?”, Industrial Management & Data Systems, Vol. 123 No. 12, pp. 3018-3037, doi: 10.1108/IMDS-05-2022-0310.

【内容摘要】

Purpose – Influencer marketing mediated by social media is prevalent in social commerce. Micro-, meso- and macro-influencers all play an irreplaceable role in marketing. The purpose of this paper is to explore how companies with limited budgets choose influencers according to products’ various levels of brand familiarity.

Design/methodology/approach – This study constructs an evolutionary game model of influencer marketing based on evolutionary game theory on complex networks. This model initiates various networks to demonstrate how influencers disseminate information and constructs update mechanisms to depict how individuals react to this information based on individuals’ information utility and friends’ strategies.

Findings – Simulation results suggest that companies should invest more in macro-influencers than in meso-influencers, however investing all in macro-influencers is not a good choice. The investment in meso-influencers will increase as brand familiarity decreases, whereas it will not exceed investment in macro-influencers. Furthermore, the accumulation of micro-influencers can accelerate the marketing process.

Originality/value – This study examines the combined effects of micro-influencers, meso-influencers and macro-influencers in marketing by simulating the marketing process initiated by influencers on social media.


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