Knowledge interdependency for sustaining smart retailing innovation ecosystem

Bing Lun Tsai, Hsin Ning Su, Yun Wei Hung, Hsin Lun Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Smart retailing has become increasingly critical in modern retailing industry. This study aims to assess the competitiveness of five leading smart retailing firms, i.e. Alibaba, Amazon, eBay, Google and Microsoft by analyzing their technological capability and technological knowledge flows. To obtain the objective of this study, technological knowledge of these five firms were characterized and knowledge interdependence network was created. It is found that Microsoft could serve as the most significant knowledge source that are both novel and fundamental in the smart retailing innovation ecosystem underpinned by the five leading firms. In this innovation ecosystem, the ranking of knowledge influence from these companies is: (1) Microsoft, (2) Google, (3) Amazon, (4) eBay and (5) Alibaba.

Original languageEnglish
Title of host publicationProceedings of 2019 the 3rd International Conference on E-Society, E-Education and E-Technology, ICSET 2019
PublisherAssociation for Computing Machinery
Pages59-63
Number of pages5
ISBN (Electronic)9781450372305
DOIs
StatePublished - Aug 2019
Event3rd International Conference on E-Society, E-Education and E-Technology, ICSET 2019 - Taipei, Taiwan
Duration: 15 Aug 201917 Aug 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd International Conference on E-Society, E-Education and E-Technology, ICSET 2019
Country/TerritoryTaiwan
CityTaipei
Period15/08/1917/08/19

Keywords

  • Innovation
  • Knowledge Interdependency
  • Patent
  • Smart Retailing

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