Promoting new energy vehicle (NEV) is one of the main ways to save energy and reduce transport emissions, China has provided substantial subsidies for this since 2009. With the impending end of the subsidy policy ending in 2022, NEV manufacturers need to strengthen their competitiveness to continuously attract customers. Under the framework of cue utilization theory, this study takes NEV manufacturers’ technical capability as an intrinsic cue and reputation as an extrinsic cue to explore the mechanism in which two cues stimulate customers’ perceptions of travel quality and brand value, and subsequently motivate purchase intention. Based on a sample of 207 respondents from China, proposed hypotheses have been tested using Likert scale questionnaires through SPSS and AMOS. Structural equation modeling techniques were used to analyze the measurement scales and variable relationships. The results show that manufacturers’ reputation is more influential on both perceived travel quality and perceived brand value than technical capability; Technological turbulence plays a moderating role in the influence between perceived brand value and purchase intention. This article provides references for deepening related theories, and pragmatic insights for manufacturer strategic response and government policy making.

An algorithm of fast texture synthesis by block tiling is proposed after summarizing several related algorithms. This approach uses displacement technology based on correlation to get the mapping addresses of synthesized blocks in the sample image and integrates the method of searching feasible blocks along a spiral path. In the process, boundary matching algorithm is adopted to find the optimal matching block which meets the threshold, then continues this process in a recursive manner until the synthesizing image is fully filled. Experimental results show that this algorithm has achieved better desired effect and used much less time when dealing with the random texture and the structural texture compared with the previous algorithms.

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