Accelerating retail-innovation design for smart services via foresight approach and case-based design

The fourth industrial revolution (Industry 4.0) is taken as a dramatic upgrade of the third revolution. Compared with prior industrial revolutions, Industry 4.0 put more focus on the creation of networks and interconnectivities among existing assets based on Internet of things (IoT). This study atte...

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Main Authors: Lee, Ching-Hung, Chen, Chun-Hsien, Lee, Yu-Chi, Xu, Gangyan, Li, Fan, Zhao, Xuejiao
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140468
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author Lee, Ching-Hung
Chen, Chun-Hsien
Lee, Yu-Chi
Xu, Gangyan
Li, Fan
Zhao, Xuejiao
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Lee, Ching-Hung
Chen, Chun-Hsien
Lee, Yu-Chi
Xu, Gangyan
Li, Fan
Zhao, Xuejiao
author_sort Lee, Ching-Hung
collection NTU
description The fourth industrial revolution (Industry 4.0) is taken as a dramatic upgrade of the third revolution. Compared with prior industrial revolutions, Industry 4.0 put more focus on the creation of networks and interconnectivities among existing assets based on Internet of things (IoT). This study attempts to depict inno-service concepts with the commonality in different categories based on IoT technology and the concepts of cyber-physical systems (CPS) from both the problem-analysis side and resolution-analysis perspective. The problem-analysis utilizes a socio-economic needs analysis, which compromises shopping district categories analysis and categories needs analysis, to obtain the main categories of the shopping district and key problems of it. In addition, the resolution-analysis utilizes a case-based design approach, which compromises case recall and case adapt to refer to the related IoT cases, and then smart shopping themes are proposed. Based on the socio-economic needs analysis including the development in the practical industry, literature of shopping-mall management and the district survey, this research identified six categories for a mega city's major district functions, namely (1) tourism, MICE (meetings, incentives, conferencing, exhibitions) and accommodations, (2) food, beverage and supermarkets, (3) cultural and creative sectors and bookstores, (4) furniture, furnishings and appliances, (5) clothing, accessories and cosmetics, (6) cinema, recreation and sports. In addition, based on the 54 smart-service cases in the global environment from the six classifications, the most valuable solutions from the case base are adapted and reused to meet the current needs and situation. Thus, six smart shopping themes are designed as a CPS-based services among the above six classifications, including (1) Ubiquitous cultural creative street side integration services, (2) Smart food and restaurant services, (3) Future make-up and fast fashion services, (4) Smart living experiential marketing services, (5) Entertainment-based innovative services, (6) MICE Integrated Services. The results can be utilized for researchers to better find more foresight themes efficiently and effectively and for firms to adopt these six new concepts to design the detailed service specification with business concept innovation or business process improvement.
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spelling ntu-10356/1404682020-05-29T06:51:22Z Accelerating retail-innovation design for smart services via foresight approach and case-based design Lee, Ching-Hung Chen, Chun-Hsien Lee, Yu-Chi Xu, Gangyan Li, Fan Zhao, Xuejiao School of Computer Science and Engineering School of Electrical and Electronic Engineering School of Mechanical and Aerospace Engineering 24th ISPE Inc. International Conference on Transdisciplinary Engineering, TE 2017 Delta-NTU Corporate Laboratory for Cyber-Physical System Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) Engineering::Manufacturing Internet of Things (IoT) Cyber-physical Systems (CPS) The fourth industrial revolution (Industry 4.0) is taken as a dramatic upgrade of the third revolution. Compared with prior industrial revolutions, Industry 4.0 put more focus on the creation of networks and interconnectivities among existing assets based on Internet of things (IoT). This study attempts to depict inno-service concepts with the commonality in different categories based on IoT technology and the concepts of cyber-physical systems (CPS) from both the problem-analysis side and resolution-analysis perspective. The problem-analysis utilizes a socio-economic needs analysis, which compromises shopping district categories analysis and categories needs analysis, to obtain the main categories of the shopping district and key problems of it. In addition, the resolution-analysis utilizes a case-based design approach, which compromises case recall and case adapt to refer to the related IoT cases, and then smart shopping themes are proposed. Based on the socio-economic needs analysis including the development in the practical industry, literature of shopping-mall management and the district survey, this research identified six categories for a mega city's major district functions, namely (1) tourism, MICE (meetings, incentives, conferencing, exhibitions) and accommodations, (2) food, beverage and supermarkets, (3) cultural and creative sectors and bookstores, (4) furniture, furnishings and appliances, (5) clothing, accessories and cosmetics, (6) cinema, recreation and sports. In addition, based on the 54 smart-service cases in the global environment from the six classifications, the most valuable solutions from the case base are adapted and reused to meet the current needs and situation. Thus, six smart shopping themes are designed as a CPS-based services among the above six classifications, including (1) Ubiquitous cultural creative street side integration services, (2) Smart food and restaurant services, (3) Future make-up and fast fashion services, (4) Smart living experiential marketing services, (5) Entertainment-based innovative services, (6) MICE Integrated Services. The results can be utilized for researchers to better find more foresight themes efficiently and effectively and for firms to adopt these six new concepts to design the detailed service specification with business concept innovation or business process improvement. NRF (Natl Research Foundation, S’pore) Published version 2020-05-29T06:51:22Z 2020-05-29T06:51:22Z 2017 Conference Paper Lee, C.-H., Chen, C.-H., Lee, Y.-C., Xu, G., Li, F., & Zhao, X. (2017). Accelerating retail-innovation design for smart services via foresight approach and case-based design. Transdisciplinary Engineering: A Paradigm Shift, 5, 813-820. doi:10.3233/978-1-61499-779-5-813 9781614994398 https://hdl.handle.net/10356/140468 10.3233/978-1-61499-779-5-813 2-s2.0-85032868244 5 813 820 en © 2017 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). application/pdf
spellingShingle Engineering::Manufacturing
Internet of Things (IoT)
Cyber-physical Systems (CPS)
Lee, Ching-Hung
Chen, Chun-Hsien
Lee, Yu-Chi
Xu, Gangyan
Li, Fan
Zhao, Xuejiao
Accelerating retail-innovation design for smart services via foresight approach and case-based design
title Accelerating retail-innovation design for smart services via foresight approach and case-based design
title_full Accelerating retail-innovation design for smart services via foresight approach and case-based design
title_fullStr Accelerating retail-innovation design for smart services via foresight approach and case-based design
title_full_unstemmed Accelerating retail-innovation design for smart services via foresight approach and case-based design
title_short Accelerating retail-innovation design for smart services via foresight approach and case-based design
title_sort accelerating retail innovation design for smart services via foresight approach and case based design
topic Engineering::Manufacturing
Internet of Things (IoT)
Cyber-physical Systems (CPS)
url https://hdl.handle.net/10356/140468
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