Content area
Purpose
Current 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.
Details
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
1 Faculty of Computing, Engineering and Technology (FCET), Staffordshire University, Stoke-on-Trent, UK
2 Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, Virginia, USA