Empirical analysis in analysing the major factors of machine learning in enhancing the e-business through structural equation modelling (SEM) approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-021-01590-1.pdf
Reference19 articles.
1. Brock JKU, Von Wangenheim F (2019) Demystifying AI: what digital transformation leaders can teach you about realistic artificial intelligence. Calif Manage Rev 61(4):110–134
2. Chen C-C, Chen C-J (2017) The role of customer participation for enhancing repurchase intention. Manag Decis 55(3):547–562
3. Chui M, Francisco S (2017) Artificial intelligence the next digital frontier? mckinsey and company global institute: New York, NY, USA 47
4. Ferrario A, Loi M, Viganò E (2020) In ai we trust incrementally: a multi-layer model of trust to analyze human-artificial intelligence interactions. Philos Technol 33:523–539
5. Guha A, Biswas A, Grewal D, Verma S, Banerjee S, Nordfält J (2018) Reframing the discount as a comparison against the sale price: Does it make the discount more attractive? J Mark Res 55(3):339–351
Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The application of machine learning for demand prediction under macroeconomic volatility: a systematic literature review;Management Review Quarterly;2024-06-06
2. An Innovative Web Intelligence Data Clustering Algorithm for Human Resources Based on Sustainability;Technological Innovations for Business, Education and Sustainability;2024-04-23
3. Revolutionizing Business Intelligence: Harnessing AI and Machine Learning for Strategic Insights and Competitive Advantage;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
4. Research on incentive mechanisms for anti-heterogeneous federated learning based on reputation and contribution;Electronic Research Archive;2024
5. Traceability and Logistics Management for the Sustainability of Peruvian Coffee Exports;Contributions to Environmental Sciences & Innovative Business Technology;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3