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Based on the unified theory of acceptance and use of technology (UTAUT2), the purpose of this study was to examine users’ continued usage intention of mobile event application (MEA) technology.

A self-administered online survey was used to collect the study data from 407 MEA users, and structural equation modeling was used to test the study’s hypotheses.

The study’s results revealed that users’ continued usage behavior was positively influenced by effort expectancy, performance expectancy, habit, facilitating condition and perceived security. The study’s results further indicated that personal innovativeness had a positive impact on effort expectancy and performance expectancy.

The findings of the current study deliver important practical implications for event organizers and event technology vendors for identifying factors affecting MEA users’ continued usage intention.

By extending UTAUT2, the current study is one of the first studies that examined users’ intention to continue to use MEA technology.

论影响参会人员继续使用移动会展App的因素

本论文基于UTAUT2模型, 旨在检验用户继续使用移动会展App（MEA）的影响因子。

本论文采用网上问卷的形式, 样本数据为407为MEA用户, 使用SEM来验证研究假设。

研究结果表明, 用户继续使用行为受到以下因子的正向影响：努力预期、效果预期、习惯、辅助条件、以及感知安全。本论文结果进一步表明个人创新对努力预期和效果预期有着积极影响。

本论文结果为会展组织者和会展科技商指出了影响MEA用户继续使用意图的影响因子, 提供了有价值的启示。

本论文拓展了UTAUT2模型, 是首批验证用户继续使用MEA科技的文章之一。

Notwithstanding the expected apparent benefits of mobile technologies (MTs) in the hotel industry, their adoption is slower than forecasted. This study aims to identify the challenges faced by hotel managers in adopting MTs in their industry, such that the authors may determine the strategic positions for adopting and managing MTs and build a frame of reference for hotel management practices.

The authors conducted a series of focus group interviews (FGIs) with the managers and executives of luxury hotels. FGIs were conducted in groups in a semi-structured format, asking questions about MT adoption in their hotels and the challenges they faced. The FGI transcripts were analyzed using a grounded theory approach.

Open and axial coding of FGI scripts revealed 15 underlying categories of challenges in adopting MTs in hotels. Subsequent selective coding revealed two underlying dimensions: viability-fit. With these two underlying dimensions, a strategic model for MT adoption is developed. This model identifies four MT adoption strategies in hotels: lookers, experimenters, explorers and leaders.

The model developed and presented herein may help analyze a hotel’s strategic positioning in adopting MT’s. Depending on the positional analysis results, hotel managers can appropriately decide resource mobilization priorities and deployment timing.

尽管酒店中的移动技术 (MT) 具有预期的明显行业优势, 它们的采用速度比预期的要慢。本研究旨在确定酒店经理在其行业中采用 MT 时面临的问题和挑战, 以便我们可以确定采用和管理 MT 的战略位置, 并为酒店管理实践建立参考框架。

作者与管理人员和豪华酒店的高管进行了一系列焦点小组访谈 (FGI) 。 FGI 以半结构化的形式分组进行, 询问关于他们酒店采用 MT 的问题以及他们面临的挑战。 FGI 的文字记录使用扎根理论方法进行分析。

FGI 脚本的开放和轴向编码揭示了 15 个潜在挑战类别酒店的 MT。随后的选择性编码揭示了两个潜在的维度：可行性, 匹配度。有了这两个基本维度, 就可以开发出采用 MT 的战略模型。这模型确定了酒店中的四种 MT 采用策略：观察者、实验者、探索者和领导者。

这里开发和展示的模型可以帮助分析酒店在采用MT的战略定位采用。根据定位分析结果, 酒店经理可以适当地决定资源调动优先事项和部署时间。