由知識相互依存看產業創新動態-以智慧零售產業為例

Analyzing innovation dynamics through knowledge interdependence- a case of smart retailing industry

蔡秉倫(Bing-Lun Tsai)

指導教授 ： 林亭汝

國立交通大學/管理學院/科技管理研究所/碩士(2020年)

摘要

智慧零售正掀起全球傳統零售版圖的全面革命，未來將可預期智慧零售相關企業對於人工智慧的仰賴會日益上升，各個企業之間的知識流動與相互依存關係將建構緊密相扣的智慧經濟生態系，最終左右智慧零售產業的競爭與合作戰局。本研究旨在透過分析全世界最具代表性之五家智慧零售相關公司（即Alibaba, Amazon、eBay、Google及Microsoft），一窺智慧零售產業競爭、合作之概觀動態，進而探知影響現代知識經濟之關鍵因素。

關鍵字

智慧零售 ； 知識相互依存 ； 知識流動 ； 產業創新

並列摘要

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.

並列關鍵字

Smart Retailing ； Knowledge Interdependence ； Knowledge Flow ； Industrial Innovation

參考文獻

[2]E. Pantano and H. Timmermans, “What is Smart for Retailing?,” Procedia Environmental Sciences, vol. 22, pp. 101–107, Jan. 2014, doi: 10.1016/j.proenv.2014.11.010.

[6]G. Adomavicius, J. C. Bockstedt, A. Gupta, and R. J. Kauffman, “Technology roles and paths of influence in an ecosystem model of technology evolution,” Inf Technol Manage, vol. 8, no. 2, pp. 185–202, Jun. 2007, doi: 10.1007/s10799-007-0012-z.

[7]S. Roper and N. Hewitt-Dundas, “Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data,” Res. Policy, vol. 44, no. 7, pp. 1327–1340, Sep. 2015, doi: 10.1016/j.respol.2015.03.003.

[8]J. Wu and M. T. Shanley, “Knowledge stock, exploration, and innovation: Research on the United States electromedical device industry,” Journal of Business Research, vol. 62, no. 4, pp. 474–483, Apr. 2009, doi: 10.1016/j.jbusres.2007.12.004.

[9]“Technological diversity, knowledge flow and capacity, and industrial innovation: Technology Analysis & Strategic Management: Vol 30, No 12.” https://www.tandfonline.com/doi/full/10.1080/09537325.2018.1472759 (accessed Aug. 29, 2019).