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Investigating the double-edged sword effect of AI awareness on employee's service innovative behavior

被引：51
|
作者：
Liang, Xuedong [1 ,2 ]
Guo, Gengxuan [1 ]
Shu, Lingli [1 ]
Gong, Qunxi [1 ]
Luo, Peng [1 ]
机构：
[1] Sichuan Univ, Sch Business, Chengdu 610065, Peoples R China
[2] Sichuan Blockchain Assoc, Chengdu 610093, Sichuan, Peoples R China
来源：
TOURISM MANAGEMENT | 2022年 / 92卷
基金：
中国国家自然科学基金;
关键词：
AI awareness; Emotional exhaustion; Intrinsic motivation; Future orientation; Service innovative behavior; JD-R model; DEMANDS-RESOURCES MODEL; LEADER-MEMBER EXCHANGE; JOB DEMANDS; ARTIFICIAL-INTELLIGENCE; EMOTIONAL EXHAUSTION; INTRINSIC MOTIVATION; WORK ENGAGEMENT; CREATIVITY; CLIMATE; FUTURE;
D O I：
10.1016/j.tourman.2022.104564
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Drawing on the job demand-resource (JD-R) model, the current study constructs a dual-pathway approach which aims to reveal the mixed impact of AI awareness on service innovative behavior. Specifically, this paper argues that AI awareness will both increase employees' emotional exhaustion, inhibiting their service innovative behaviors (strain pathway) and stimulate employees' intrinsic motivation, promoting their service innovative behaviors (motivation pathway). Meanwhile, employees' future orientation will buffer the strain pathway and strengthen the motivation pathway. Multisource data (n = 317) from China support the proposed theoretical framework. Implications for theory and practice are discussed.
引用
收藏
页数：14
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