Belief triggers to action in artificial intelligence arenas: Exploring the role of AI intention and top management support in multi-level investigation

IF 6.4 3区 管理学 Q1 BUSINESS
Ali Nawaz Khan , Naseer Abbas Khan
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引用次数: 0

Abstract

This study investigates the impact of belief about artificial intelligence (AI) on AI continuous usage in Business-to-Business (B2B) contexts through the lens of socio-technical system theory (STST). Using multilevel structural equation modeling of data from 460 employees across 78 software firms in Southern China, this study examines how beliefs about AI influence AI continuous usage, mediated by intention to use AI and moderated by top management support. Results demonstrate that positive belief about AI significantly enhance intention to use AI and AI continuous usage, and also indicate a significant mediating effect of intention to use AI. Top management support emerged as a significant organizational-level moderator of these relationships. The findings of this study contribute to understanding AI adoption in B2B service sectors by integrating human and technical factors within an STST framework.
信念触发人工智能领域的行动:探索人工智能意图和高层管理支持在多层次调查中的作用
本研究通过社会技术系统理论(STST)的视角,调查了人工智能(AI)信念对企业对企业(B2B)环境中人工智能持续使用的影响。本研究对中国南方78家软件公司460名员工的数据进行了多层次结构方程建模,考察了对人工智能的信念如何影响人工智能的持续使用,并受使用人工智能的意愿的调节和高层管理支持的调节。结果表明,对人工智能的积极信念显著增强了使用人工智能的意愿和人工智能的持续使用,并表明使用人工智能的意愿具有显著的中介作用。高层管理人员的支持成为这些关系在组织层面上的重要调节因素。本研究的结果有助于通过在STST框架内整合人力和技术因素来理解B2B服务部门对人工智能的采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.70
自引率
3.40%
发文量
30
审稿时长
50 weeks
期刊介绍: European Research on Management and Business Economics (ERMBE) was born in 1995 as Investigaciones Europeas de Dirección y Economía de la Empresa (IEDEE). The journal is published by the European Academy of Management and Business Economics (AEDEM) under this new title since 2016, it was indexed in SCOPUS in 2012 and in Thomson Reuters Emerging Sources Citation Index in 2015. From the beginning, the aim of the Journal is to foster academic research by publishing original research articles that meet the highest analytical standards, and provide new insights that contribute and spread the business management knowledge
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