首页|Henan University of Urban Construction Researcher Reveals New Findings on Artifi cial Intelligence (Innovations of Express Companies: Adoption of Protective Wear able Artificial Intelligence Devices by Couriers)
Henan University of Urban Construction Researcher Reveals New Findings on Artifi cial Intelligence (Innovations of Express Companies: Adoption of Protective Wear able Artificial Intelligence Devices by Couriers)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Pingdingshan, People’ s Republic of China, by NewsRx correspondents, research stated, “Providing couri ers with wearable artificial intelligence devices to prevent accidents is not on ly beneficial to the courier’s safety but will also save money in terms of insur ance premiums for express companies; therefore, it is worth investigating what f actors can influence the acceptance of wearable artificial intelligence devices by couriers.” The news correspondents obtained a quote from the research from Henan University of Urban Construction: “Push-pull-mooring (PPM) theory and affective event theo ry (AET) are integrated, to test couriers’ adoption of wearable safety detection devices. Social influence, perceived security, personal innovativeness, and aff ective event reaction are applied to the research model. Questionnaires are dist ributed among several listed express companies and 263 valid questionnaires are used for empirical testing. Empirical results indicated that social influence, p erceived safety, personal innovativeness and affective event reaction are positi vely related to usage with coefficients 0.218, 0.301, 0.698 and 0.309. Personal innovativeness has positive moderating effects on relationships between affectiv e event reaction, perceived security and usage, with coefficients 0.145 and 0.10 6; however, it has no significant moderating effect on the relationship between social influence and usage.”
Henan University of Urban ConstructionPingdingshanPeople’s Republic of ChinaAsiaArtificial IntelligenceEmergin g TechnologiesMachine Learning
NETL
NSTL
