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How the Internet of Things can help knowledge management: a case study from the automotive domain

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Vydáno v:Journal of Knowledge Management vol. 21, no. 1 (2017), p. 57-70
Hlavní autor: Uden, Lorna
Další autoři: Wu, He
Vydáno:
Emerald Group Publishing Limited
Témata:
CRC Press
California
United States > US
Data management
Automobiles
Collaboration
Electronic devices
Decision making
Sensors
Transportation
Knowledge management
Parking
System effectiveness
Embedding
Literature reviews
Internet of Things
Cost reduction
Productivity
Business models
Automobile industry
Hypothesis testing
Content management
Radio frequency identification
Case studies
Value creation
Wireless networks
Access to information
Knowledge
Internet
Data processing
Intelligence
Big Data
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Abstrakt:PurposeCurrent knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by embedding Internet of Things (IoT).Design/methodology/approachThe paper discusses how IoT can help KM to capture data and convert data into knowledge to improve the parking service in transportation using a case study.FindingsThis case study related to intelligent parking service supported by IoT devices of vehicles shows that KM can play a role in turning the incoming big data collected from IoT devices into useful knowledge more quickly and effectively.Originality/valueThe literature review shows that there are few papers discussing how KM can benefit by embedding IoT and processing incoming big data collected from IoT devices. The case study developed in this study provides evidence to explain how IoT can help KM to capture big data and convert big data into knowledge to improve the parking service in transportation.
ISSN:1367-3270
1758-7484
DOI:10.1108/JKM-07-2015-0291
Zdroj:ABI/INFORM Global