The Impact of AIGC Adoption on Customer Acquisition for SMEs in Chengdu
- DOI
- 10.2991/978-2-38476-327-6_6How to use a DOI?
- Keywords
- AIGC; SMEs; Customer Acquisition
- Abstract
This study indicates the impact of AI-generated content (AIGC) on customer acquisition enhancement for small and medium-sized enterprises (SMEs) in Chengdu, aiming to reveal how AIGC adoption affects companies’ market performance. We break down AIGC adoption into five dimensions: AI creative production, AI short video production, AI copywriting, AI voice generation, and AI image generation. By empirically analyzing the questionnaire and in-depth interview data from 150 Chengdu SMEs, we find that AIGC adoption has a positive effect in significantly improving the customer acquisition ability of enterprises. The regression analysis results show that each AIGC segmentation application has a different degree of impact on the customer acquisition of enterprises, with the impact of AI short video production and AI creative production being particularly significant. This study provides empirical support for how enterprises can effectively utilize AIGC technology and offers specific suggestions for enhancing the market competitiveness of SMEs.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wang Yao PY - 2024 DA - 2024/12/17 TI - The Impact of AIGC Adoption on Customer Acquisition for SMEs in Chengdu BT - Proceedings of the 2024 4th International Conference on Social Development and Media Communication (SDMC 2024) PB - Atlantis Press SP - 49 EP - 54 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-327-6_6 DO - 10.2991/978-2-38476-327-6_6 ID - Yao2024 ER -