Research on Consumer Information Processing and Purchase Intention of Live Streaming: Integrating Elaboration Likelihood Model and ABC Attitude Model
- DOI
- 10.2991/978-94-6463-224-8_51How to use a DOI?
- Keywords
- Information cues; Purchase intention; Information quality; Streamer characteristics; Attitudes
- Abstract
This study proposes an extended research model that explores the relationship between consumer information cues and purchase intention in the context of live streaming. The model builds upon previous theoretical methods and research successes and combines the Elaboration Likelihood Model (ELM) and the ABC (Affection-Behavior-Cognition) attitude model. The resulting online purchase intention conceptual model includes intermediate variables, such as cognitive trust and emotional response, and examines the role of attitudes in generating purchase intention. The study’s results enrich current theoretical research and have practical implications for live streaming businesses seeking to optimize promotional effects.
- Copyright
- © 2023 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 - Changhua He AU - Mengyao Yu AU - Lijun Shi AU - Wenxuan Jia PY - 2023 DA - 2023/08/23 TI - Research on Consumer Information Processing and Purchase Intention of Live Streaming: Integrating Elaboration Likelihood Model and ABC Attitude Model BT - Proceedings of the 2023 3rd International Conference on Enterprise Management and Economic Development (ICEMED 2023) PB - Atlantis Press SP - 414 EP - 424 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-224-8_51 DO - 10.2991/978-94-6463-224-8_51 ID - He2023 ER -