This study investigates the factors that build resistance and attitude towards AI voice assistants (AIVA). A theoretical model is proposed using the dual-factor framework by integrating status quo bias factors (sunk cost, regret avoidance, inertia, perceived value, switching costs, and perceived threat) and Technology Acceptance Model (TAM; perceived ease of use and perceived usefulness) variables. The study model investigates the relationship between the status quo factors and resistance towards adoption of AIVA, and the relationship between TAM factors and attitudes towards AIVA. A sample of four hundred and twenty was analysed using structural equation modeling to investigate the proposed hypotheses. The results indicate an insignificant relationship between inertia and resistance to AIVA. Perceived value was found to have a negative but significant relationship with resistance to AIVA. Further, the study also found that inertia significantly differs across gender (male/female) and age groupings. The study's framework and results are posited as adding value to the extant literature and practice, directly related to status quo bias theory, dual-factor model and TAM.

本研究调查了对 AI 语音助手 (AIVA) 产生抵制和态度的因素。通过整合现状偏差因素（沉没成本、后悔避免、惯性、感知价值、转换成本和感知威胁）和技术接受模型（TAM；感知易用性和感知有用性），提出了使用双因素框架的理论模型) 变量。该研究模型调查了现状因素与采用 AIVA 的阻力之间的关系，以及 TAM 因素与对 AIVA 的态度之间的关系。使用结构方程模型分析了四百二十个样本，以研究提出的假设。结果表明惯性和对 AIVA 的抵抗力之间的关系不显着。发现感知值与对 AIVA 的抗性有负但显着的关系。此外，该研究还发现，惯性在性别（男性/女性）和年龄组之间存在显着差异。该研究的框架和结果被认为是对现有文献和实践的增值，与现状偏见理论、双因素模型和 TAM 直接相关。