The online flow and its influence on awe experience: an AI-enabled e-tail service exploration

被引：15

作者：

Khare, Arpita ^{[1
]}

Kautish, Pradeep ^{[2
]}

Khare, Anshuman ^{[3
]}

机构：

[1] GL Bajaj Inst Management & Res, Greater Noida, India

[2] Nirma Univ, Inst Management, Dept Mkt, Ahmadabad, India

[3] Athabasca Univ, Fac Business, Edmonton, AB, Canada

来源：

INTERNATIONAL JOURNAL OF RETAIL & DISTRIBUTION MANAGEMENT | 2023年 / 51卷 / 06期

关键词：

AI-enabled e-tail; Services; Awe experience; Flow; Online fashion apparel; eWOM; TECHNOLOGY ACCEPTANCE MODEL; VIRTUAL-REALITY; SHOPPING EXPERIENCE; CUSTOMER SATISFACTION; IMAGE INTERACTIVITY; AUGMENTED REALITY; EXPECTATION-CONFIRMATION; ARTIFICIAL-INTELLIGENCE; VOICE ASSISTANTS; CONSUMER;

D O I：

10.1108/IJRDM-07-2022-0265

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

PurposeThe study applied the stimulus-organism-response (S-O-R) framework to investigate the influence of flow elements (e.g. perceived control, concentration and cognitive enjoyment) on artificial intelligence (AI)-enabled e-tail services in evoking awe experience in online fashion apparel context.Design/methodology/approachData of 739 active users of online fashion retail shoppers were collected using Amazon Mechanical Turk (MTurk). Partial least square-structural equation modeling was used for analysis.FindingsThis study suggested the relevance of AI-enabled services in evoking flow and stimulating the customers' awe experience in online fashion shopping.Practical implicationsThe use of AI could help online fashion retailers to improve the experiential elements by using stimuli that evoke feelings of vastness, novelty and mysticism.Originality/valueThe study offers insights about the relevance and applicability of AI in enhancing the flow elements and awe experience on online fashion apparel shopping in an emerging economy.

引用

页码：713 / 735

页数：23

共 11 条

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