知识管理
医疗保健
背景(考古学)
价值(数学)
共同创造
过程(计算)
数字化转型
概念模型
营销
计算机科学
业务
心理学
万维网
古生物学
数据库
机器学习
经济
生物
经济增长
操作系统
作者
Eric L. Swan,James W. Peltier,Andrew J. Dahl
出处
期刊:Journal of Research in Interactive Marketing
[Emerald (MCB UP)]
日期:2023-08-01
卷期号:18 (1): 109-126
被引量:4
标识
DOI:10.1108/jrim-09-2022-0293
摘要
Purpose Digital transformations are altering service models and care delivery methods in healthcare. Artificial Intelligence (AI) represents the next wave of transformation in healthcare. This study aims to understand patient perceptions of AI and its impact on value co-creation. Design/methodology/approach A conceptual model was developed to investigate how value co-creation operant resources (digital self-efficacy and relational service quality) impact value co-creation engagement (shared decision-making) and value co-creation outcomes (anticipatory AI value co-creation and intention to adopt AI). Data were collected from 332 respondents and analyzed using structural equation modeling. Findings The results indicate that the value co-creation process for AI technologies is a function of inputs, experiences and AI outputs. Operant resources were found to be positively associated with shared decision-making. However, not all operant resources directly and positively impacted AI outcomes. The indirect and positive mediated relationships through shared decision-making to AI outcomes suggest an interactive AI value co-creation process. Research limitations/implications AI technologies are still in early stages of consumer adoption in healthcare. Future research is warranted that investigates the validity of the model through maturing service life cycles. Practical implications Customer perceptions of new digital innovations are formed in the context of previous digital experiences. Marketers need to understand how customers view their current non-AI technologies. Strong engagement and perceived value of current technologies will help ease customers into the usage of AI technologies. Originality/value This study investigates the unique stages of the value co-creation process for AI technologies in healthcare. The results demonstrate that the value co-creation process is a function of inputs, tech-enabled experiences and AI outputs.
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