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This study aims to explore the role of trust and effect of age in the process of technology acceptance.

Using data collected from an online survey, this study conducts structural equation modeling to assess the relationship between technology adoption and users’ trust in that technology.

Findings of this study indicate that the formation of trust in technology is based on user experiences (i.e. the perception of usefulness and ease of use), while the perception of trust in technology is similar to human-like trust (i.e. competence and benevolence). This study clarifies that trust has a mediating effect on the relationship between perceived technology ease of use and behavioral intention to use. Trust belief of competence is found to be more effective on adoption behavior than trust belief of benevolence. In exploring the moderating effect of age, results find that easy use of an app is crucial for elderly people to create trust belief in technical competence and develop behavioral control over such technologies. Trust in technology is an essential factor that should be widely applied when analyzing technology adoption behaviors.

This study contributes in three ways. First, it reveals both how trust in technology is formed and the effect of that trust on technology adoption. Second, it extends the discussion of age as a variable in tourism app usage. Third, it shows how the experience of usage influences intentions towards the adoption of tourism apps.

重新认识旅游APP的技术信任：年龄的调节作用

本研究旨在探索技术信任和年龄对技术采用行为的作用。

本研究通过发放网络问卷收集数据，并构建结构方程模型验证并分析技术信任感知对技术采用行为的影响方式。

研究发现，技术信任是基于用户体验而形成的（如，对技术有用性和易用性的感知），用户对技术信任的感知与人际信任相似（如，对其能力信任和善意信任的感知）。研究结果表明，技术信任对感知技术易用性与使用意向之间的关系具有显著的中介作用，在这个过程中，用户更关注技术的能力信任而非其善意信任。此外，年龄对实现技术信任有一定调节作用，如，对于老年人用户而言，易用性更容易建立技术的能力信任，并有效帮助增强其对技术的控制感知。因此，技术信任应作为技术采用行为研究的重要考量因素。

首先，研究揭示了技术信任的实现路径，并解释了用户的技术信任感知对技术采用行为的影响方式。 其次，本文将年龄作为调节变量检验了其对用户技术采用行为的作用。 最后，本文讨论了旅游APP使用体验是如何影响用户采用意向的。

Visitor center plays an important role in the normal operation and sustainable development of scenic spots, especially as a portal image of its management. This paper presents resilience theory for visitor centers to identify some common issues in designing visitor centers in China scenic spots, including the lack of function, loss of architectural characteristics, and difficultly in adapting to changes in the number of visitors with periodic variations. The framework of resilience theory was set from four dimensions, namely, resilience and match in the composition of ontology function, the extended function, integration of buildings into the surrounding environment, and alternative construction technologies and materials. This theory was explained and analyzed with the application of the theory in practice in combination with the design of Mount Hua visitor center. Results showed that resilience theory yields good application effect.

The present article presents a first‐look into the hired‐labor market in Chinese household farms using data from a national household survey conducted by the Research Center for the Rural Economy (RCRE) at China's Ministry of Agriculture. More specifically, the purpose of this paper is to evaluate the scale and dispersion of China's farm‐household hired laborers among 15 commodities, and test whether market factors influence labor‐hiring decisions – an expectation of a well‐functioning labor market. This research contributes to the literature concerned with the labor constraints facing Chinese household farms, especially those producing seasonal commodities.

An econometric approach is employed to assess whether Chinese farms that hire labor are responding to market factors using two repeated cross‐sections (2006, 2007) of household survey data collected by the Research Center for Rural Economy at China's Ministry of Agriculture.

The paper finds hired labor use on very small‐scale farms is surprisingly prevalent, in contrast to previously published data. The regression results suggest that labor hiring by Chinese farm households, irrespective of farm size, responds strongly to market signals and resource constraints – more labor will be hired when the wage is lower, when output is higher, and among families with fewer family members available to farm work. And the response is particularly robust for wheat, rice, and maize, whose prices are predominant determinants of the food price index.

This paper is limited in its time‐series dimension and data availability. Despite those limitations, the results hold implications for further understanding China's nascent labor market and the level to which market factors have impacted rural farm households.

Focusing on the as‐of‐yet unstudied market for hired labor on Chinese household farms, the present article makes a contribution by showing that hiring of labor in Chinese agriculture is much more prevalent than previously thought. It suggests that Chinese farm‐households are responding to certain labor‐market factors and that the household response does not weaken as the largest farms are omitted from the model, suggesting that even small farms are heeding market signals.