Technology roadmap of AI applications in the retail industry

Bibliographic Data

ID21401919
AuthorsHsi‐Peng Lu (0000-0002-1864-8011, National Taiwan University of Science and Technology), Hsi-Peng Lu, Hsiang-Ling Cheng (National Taiwan University of Science and Technology), Jen-Chuen Tzou (National Taiwan University of Science and Technology), Chiao-Shan Chen (0000-0003-3852-6895, National Taipei University of Nursing and Health Science, corresponding author)
Year2023
Volume195
Pages122778
Publication date2023-10-01
Open AccessYes
TypeARTICLE
VenueTechnological Forecasting and Social Change (JOURNAL)
Journal identifiersISSN: 0040-1625 • E-ISSN: 1873-5509
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techfore.2023.122778
OpenAlexW4386196476
LanguageEN
Citations received3
References cited41

New retail, an online-merge-offline system with artificial intelligence (AI) applications, became popular after the COVID-19 pandemic. This research introduces a novel technology roadmap methodology for new retail after studying 30 smart retail cases. Upon conducting panel discussions, this study identified 16 service applications, 10 technology applications, 4 application types, and 4 AI development stages. Based on the correlation analysis, it was found that new retail should: (1) aim towards the fourth stage of AI development, such as image generation technology; (2) develop a seamless shopping process; and (3) formulate cloud integration platforms integrating data on consumer shopping behavior. Overall, the findings obtained could be promising reference for future studies in the retail industry

Business · Cloud computing · Coronavirus disease 2019 (COVID-19) · Data science · Merge (version control) · Process (computing) · Retail industry · Technology roadmap · Big Data and Business Intelligence · Computer Science · Digital Transformation in Industry · Marketing · Open Source Software Innovations

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