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

Abstract

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/approach

The 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.

Findings

This 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/value

The 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.

Citation

Uden, L. and He, W. (2017), "How the Internet of Things can help knowledge management: a case study from the automotive domain", Journal of Knowledge Management, Vol. 21 No. 1, pp. 57-70. https://doi.org/10.1108/JKM-07-2015-0291