Although related studies have examined the impact of different images of artificial intelligence products on consumer evaluation, exploring the impact on consumer purchase decisions from the perspective of algorithmic decision autonomy remains under-explored. Based on the self-determination theory, this research discusses the influence of the agent decision-making role played by different AI algorithmic decision autonomy on consumer purchase decisions. The results of the 3 studies indicate that algorithmic decision autonomy has an inverted U-shaped effect on consumer’s purchase decisions, consumer’s self-efficacy mediates the relationship between algorithmic decision autonomy and purchase decisions, and consumer’s power distance moderates the relationship between algorithmic decision autonomy, self-efficacy, and purchase decisions. The research results can provide references for marketers, retailers, algorithm designers, and other parties to formulate algorithm marketing strategies, make AI algorithm decisions better serve consumers, and achieve value co-creation with consumers.
Nowadays, the Internet of things (IOT) is becoming more and more popular. Due to routing protocol easy to extend, hierarchical routing protocol, for example Low Energy Adaptive Clustering Hierarchy (LEACH),is more widely used. In order to lengthen the life of network as long as possible, an improved rotation mechanism of cluster head based on LEACH is proposed in this paper. The main idea is to minimize the reconstruction of the cluster, and change the cluster head in original cluster. We adopted token here. The simulation experimental results on NS II platform show that the improvement can delay the death time of the first node, which makes the energy consumption of the whole network more average. The proposed improved mechanism is effective.
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