The proliferation of mobile technologies have facilitated the popularity of mobile sharing economy (MSE). However, extant literature that used sufficient logic has fallen short in explaining this phenomenon as the findings are insufficient to explain the necessary conditions that activate users' intention and actual usage. The purpose of this study is to identify the enablers (must-have factors) and enhancers (should-have factors) of consumers' intention and actual use of mobile sharing economy. A must-have factor is needed to initialize the effect of independent variables while a should-have factor enhances the effect. Drawing from the extended valence framework, a combined SEM-ANN-NCA analysis is used to examine users' actual adoption of MSE. The application of the “sufficiency logic” and “necessity logic” and the AI and machine learning-based ANN approach enables us to ascertain the linear-nonlinear relationships and the enablers and enhancers in mobile sharing economy. The findings show that mobile ease of use is a sufficient and necessary condition for mobile usefulness while trust is a sufficient and necessary condition for epistemic benefit. Mobile usefulness and trust are the sufficient and necessary conditions for behavioral intention while behavioral intention is the sufficient and necessary condition for actual use. Trust is a sufficient but unnecessary condition for convenience and psychological risk. Epistemic benefit and psychological risk are sufficient but not necessary conditions for behavioral intention. Education is a sufficient but not necessary condition for actual use. The study has provided important new practical and theoretical insights to MSE service providers, operators, users and scholars.

中文翻译：

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“分享还是不分享？” – 移动共享经济推动因素和增强因素的混合 SEM-ANN-NCA 研究

移动技术的普及促进了移动共享经济（MSE）的普及。然而，现有的文献在解释这一现象时缺乏足够的逻辑，因为研究结果不足以解释激活用户意图和实际使用的必要条件。本研究的目的是确定消费者意图和实际使用移动共享经济的推动因素（必须具备的因素）和增强因素（应该具备的因素）。需要一个必须具备的因素来初始化自变量的效果，而一个应该拥有的因素则可以增强效果。借鉴扩展价框架，使用 SEM-ANN-NCA 组合分析来检查用户对 MSE 的实际采用情况。 “充足性逻辑”和“必要性逻辑”以及基于人工智能和机器学习的人工神经网络方法的应用使我们能够确定移动共享经济中的线性-非线性关系以及推动者和增强者。研究结果表明，移动易用性是移动实用性的充分必要条件，而信任则是认知收益的充分必要条件。移动有用性和信任是行为意向的充分必要条件，而行为意向是实际使用的充分必要条件。信任是便利和心理风险的充分但不必要的条件。认知收益和心理风险是行为意图的充分条件，但不是必要条件。教育是实际使用的充分条件，但不是必要条件。该研究为MSE服务提供商、运营商、用户和学者提供了重要的新的实践和理论见解。