调查消费者使用无人机送餐服务的意向:个性特征重要吗?

A. Ling, J. Sia, J. Ho
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摘要

目的无人机送餐服务(DFDS)是一项革命性的技术,因为它能够降低送餐成本、缓解交通拥堵,而且与传统的送餐方式相比,它是一种更加环保的选择。虽然已有研究了解了消费者对无人机送餐服务的意向,但很少有研究考虑到个性特征等内部因素。考虑到上述因素,本研究采用信念-欲望-意向(BDI)模型和五大人格(BFP)特质来探讨人格特质(神经质、外向性、宜人性、自觉性和开放性)如何调节对 DFDS 的欲望与消费者使用 DFDS 的意向(ITU)之间的关联。研究结果表明,对 DFDS 的渴望对 ITU 有积极影响。此外,研究还发现,外向性和合意性可以调节对 DFDS 的渴望对 ITU 的影响。原创性/价值本研究是 DFDS 文献中首次采用 BDI 模型的研究,展示了该模型在理解渴望与意向关系中的有效应用。同时,这也是首次探讨 BFP 特质在 DFDS 使用意向中的调节作用的研究。研究结果为根据消费者的个性特征制定营销策略以鼓励 DFDS 使用意向提供了启示。
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Investigating consumers’ intention to use drone food delivery services: Do personality traits matter?
PurposeThe drone food delivery service (DFDS) is a revolutionary technology owing to its ability to reduce delivery costs, alleviate traffic congestion, and offer a more environmentally friendly alternative compared to traditional delivery methods. While studies have been conducted to understand consumers’ intentions towards DFDS, very few of them considered internal factors such as personality traits. Considering the aforementioned factors, this research employs the belief-desire-intention (BDI) model and the big five personalities (BFP) traits to explore how personality traits (neuroticism, extraversion, agreeableness, conscientiousness, and openness) moderate the associations between the desire for DFDS and consumers’ intention to use DFDS (ITU).Design/methodology/approachSurvey questionnaires were distributed online via Facebook and WhatsApp. A total of 359 responses were considered valid, and the study employed the partial least squares structural equation modelling approach to test the hypotheses.FindingsThe study revealed a positive impact of the desire for DFDS on ITU. Additionally, extraversion and agreeableness were found to moderate the effect of the desire for DFDS on ITU.Originality/valueThis study is the first in DFDS literature to employ the BDI model, showcasing its effective application in understanding the desire-to-intention relationship. Also, this is the first study that explores the moderating role of the BFP traits in the context of DFDS usage intention. The results provide insights for developing marketing strategies to encourage DFDS usage intention based on consumers' personality traits.
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