Research on the factors of AI adoption in retail industry

碩士 === 國立高雄科技大學 === 行銷與流通管理系 === 107 === In 2017, the domestic retail industry accounted for 45% of the national income, which is rising year by year. It is known that Taiwan's retail industry is very important in the commercial market, and the development of science and technology has prompt...

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Bibliographic Details
Main Authors: HUANG,YING-ZI, 黃瑛自
Other Authors: FU,HSIN-PIN
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/k9wk68
Description
Summary:碩士 === 國立高雄科技大學 === 行銷與流通管理系 === 107 === In 2017, the domestic retail industry accounted for 45% of the national income, which is rising year by year. It is known that Taiwan's retail industry is very important in the commercial market, and the development of science and technology has prompted contemporary enterprises to operate in a highly digital environment. All kinds of operations, development, services, etc. are based on digitalization and dominate the formation of service automation and business linkage. At present, the introduction of artificial intelligence (AI) in the domestic retail industry is still in its infancy. The smart technology needs to cover many challenges in its service connotation. Its technology fundamentally changes the process and results of organizational innovation. There may be many adjustments and changes. Therefore, this study will explore the key factors when retailing considering the adoption of AI. This study uses the literature review to establish a three-level factor hierarchy structure table based on the Technology-Organization-Environment Framework(TOE). The Analytic Network Process (ANP) is used to find out the weight of the influencing factors based on returned expert questionnaires of the information industry, academics, and retail industry. Finally, the comparism and analysis of important factors will be discussed from demend side and supply side and and expects these results can provide a valuable reference for the retail industry when adopting AI in the future.