How smart is retailing?

Ang Lu Lin, Hsin Ning Su, Yun Wei Hung, Hsin Lun Chiang

研究成果: Conference contribution同行評審

摘要

Smart retailing has become increasingly critical in modern retailing. The paper aims to understand how traditional retailing technology can become smart retailing technology. ANOVA test and Logistic regression modeling were utilized to understand: 1) how to distinguish between non-smart retailing technology and smart retailing technology, 2) the likelihood for non-smart retailing technology to become smart-retailing technology, from the perspective of R&D strategies systematically characterized by a total of 18 patent indicators. It is found that intensified knowledge sourcing, industrial knowledge novelty and firm level knowledge influence increase the probability of becoming smart retailing technology. In addition, R and D results with wide applicability and strong invention scope are necessary for protecting innovation of smart retailing technology.

原文English
主出版物標題Proceedings of 2019 the 3rd International Conference on E-Society, E-Education and E-Technology, ICSET 2019
發行者Association for Computing Machinery
頁面64-69
頁數6
ISBN(電子)9781450372305
DOIs
出版狀態Published - 15 八月 2019
事件3rd International Conference on E-Society, E-Education and E-Technology, ICSET 2019 - Taipei, Taiwan
持續時間: 15 八月 201917 八月 2019

出版系列

名字ACM International Conference Proceeding Series

Conference

Conference3rd International Conference on E-Society, E-Education and E-Technology, ICSET 2019
國家Taiwan
城市Taipei
期間15/08/1917/08/19

指紋 深入研究「How smart is retailing?」主題。共同形成了獨特的指紋。

引用此