AI 中文总结
本研究提出了基于概念标准的TAM/UTAUT谱系模型选择决策框架，经两个场景验证可识别模型不匹配并确认合理理论选择。
AI 中文摘要
引言：TAM、TAM2、TAM3、UTAUT和UTAUT2等模型是人机交互（HCI）及相关领域技术接受与使用研究的重要基础。尽管这些模型在构念和应用条件上存在差异，但其选择往往缺乏概念层面的合理性，通常由实用考量驱动，这会影响理论一致性和跨研究可比性。目标：本研究提出一个决策框架，该框架基于TAM/UTAUT谱系模型的结构差异衍生的概念标准，指导上述五种模型的选择。方法：采用以概念、人工制品为导向的方法，包括对模型的比较分析、关键综述研究、概念维度的推导以及可操作决策标准的制定，并通过两个对比鲜明的研究场景验证框架的适用性。结果：该框架明确了五个分析维度、16个引导性问题以及各模型的描述性适用性概况；验证场景表明，该框架能够识别所声明模型与实际操作化之间的不匹配，同时确认符合研究条件的理论选择。
英文摘要
Introduction: Models such as TAM, TAM2, TAM3, UTAUT, and UTAUT2 underpin a substantial share of research on technology acceptance and use in HCI and related fields. Although they differ in terms of constructs and conditions of application, their selection is often not conceptually justified, frequently driven by pragmatic considerations, with implications for theoretical consistency and cross-study comparability. Objective: To propose a decision framework that guides the selection among the five models of the TAM/UTAUT lineage based on conceptual criteria derived from their structural differences. Methods: A conceptual, artifact-oriented approach was adopted, comprising comparative analysis of the models and critical review studies, derivation of conceptual dimensions, and formulation of operational decision criteria. Applicability was demonstrated through two contrasting research scenarios. Results: The framework articulates five analytical dimensions, 16 guiding questions, and descriptive suitability profiles for the models. The demonstration illustrated, in the two scenarios examined, its ability to identify misalignments between the declared model and the actual operationalization, as well as to confirm theoretical choices consistent with the conditions of the study.
Comments24 pages, 2 figures, 3 tables. Supplementary material: https://doi.org/10.5281/zenodo.19714800
