Robotics & Machine Learning Daily News2024,Issue(Jul.3) :105-105.

Study Findings from University of Chichester Provide New Insights into Robotics (Examining customer intentions to purchase intelligent robotic products and serv ices in Taiwan using the theory of planned behaviour)

奇切斯特大学的研究结果为机器人学提供了新的见解(用计划行为理论研究台湾消费者购买智能机器人产品和服务的意向)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :105-105.

Study Findings from University of Chichester Provide New Insights into Robotics (Examining customer intentions to purchase intelligent robotic products and serv ices in Taiwan using the theory of planned behaviour)

奇切斯特大学的研究结果为机器人学提供了新的见解(用计划行为理论研究台湾消费者购买智能机器人产品和服务的意向)

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-机器人的研究发现被用在一份新的报告中。根据NewsRx编辑来自Chic Hester大学的新闻,该研究指出,"评估与智能机器人商品和服务有关的在线和离线购物行为的文献是不充分的。"这项研究的财政支持者包括台湾教育部。我们的新闻记者从奇切斯特大学的研究中获得了一句话:“在这项研究中,我们应用计划行为模型理论来判断消费者行为如何影响他们对智能机器人产品和服务的购买意向。通过对在线和整体购物者进行在线问卷调查,收集了408名受访者的数据,并用SPSS、AMO和基于协方差的结构方程建模软件评估测量的适当性,并确认数据的可靠性、收敛性、发散和有效性。这些工具还被用于转移和检验本研究中使用的变量和模型结构之间的假设关系。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news originating from the University of Chic hester by NewsRx editors, the research stated, “The literature for assessing onl ine and offline shopping behaviours that are linked to intelligent robotic goods and services is inadequate.” Financial supporters for this research include Ministry of Education, Taiwan. Our news correspondents obtained a quote from the research from University of Ch ichester: “In this study, we applied the Theory of Planned Behaviour model for g uidance regarding how consumer behaviour affects their purchase intentions for i ntelligent robotic goods and services. Data from 408 respondents were gathered t hrough an online questionnaire binned into Online and Overall Shoppers, and anal ysed using SPSS, AMOS, and Covariance-Based Structural Equation Modelling softwa re to evaluate the appropriateness of the measurements and to confirm data relia bility, convergence, divergence, and validity. These tools were also used to tra ck and test hypothesized relationships between the variables and model construct s used in this study.”

Key words

University of Chichester/Emerging Techn ologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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