How the Internet of Things can help knowledge management: a case study from the automotive domain
I tiakina i:
| I whakaputaina i: | Journal of Knowledge Management vol. 21, no. 1 (2017), p. 57-70 |
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| Kaituhi matua: | |
| Ētahi atu kaituhi: | |
| I whakaputaina: |
Emerald Group Publishing Limited
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| Ngā marau: | |
| Urunga tuihono: | Citation/Abstract Full Text Full Text - PDF |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 1874671900 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1367-3270 | ||
| 022 | |a 1758-7484 | ||
| 024 | 7 | |a 10.1108/JKM-07-2015-0291 |2 doi | |
| 035 | |a 1874671900 | ||
| 045 | 2 | |b d20170101 |b d20170228 | |
| 084 | |a 37827 |2 nlm | ||
| 100 | 1 | |a Uden, Lorna |u Faculty of Computing, Engineering and Technology (FCET), Staffordshire University, Stoke-on-Trent, UK | |
| 245 | 1 | |a How the Internet of Things can help knowledge management: a case study from the automotive domain | |
| 260 | |b Emerald Group Publishing Limited |c 2017 | ||
| 513 | |a Case Study Journal Article | ||
| 520 | 3 | |a 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. | |
| 610 | 4 | |a CRC Press | |
| 651 | 4 | |a California | |
| 651 | 4 | |a United States--US | |
| 653 | |a Data management | ||
| 653 | |a Automobiles | ||
| 653 | |a Collaboration | ||
| 653 | |a Electronic devices | ||
| 653 | |a Decision making | ||
| 653 | |a Sensors | ||
| 653 | |a Transportation | ||
| 653 | |a Knowledge management | ||
| 653 | |a Parking | ||
| 653 | |a System effectiveness | ||
| 653 | |a Embedding | ||
| 653 | |a Literature reviews | ||
| 653 | |a Internet of Things | ||
| 653 | |a Cost reduction | ||
| 653 | |a Productivity | ||
| 653 | |a Business models | ||
| 653 | |a Automobile industry | ||
| 653 | |a Hypothesis testing | ||
| 653 | |a Content management | ||
| 653 | |a Radio frequency identification | ||
| 653 | |a Case studies | ||
| 653 | |a Value creation | ||
| 653 | |a Wireless networks | ||
| 653 | |a Access to information | ||
| 653 | |a Knowledge | ||
| 653 | |a Internet | ||
| 653 | |a Data processing | ||
| 653 | |a Intelligence | ||
| 653 | |a Big Data | ||
| 700 | 1 | |a Wu, He |u Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, Virginia, USA | |
| 773 | 0 | |t Journal of Knowledge Management |g vol. 21, no. 1 (2017), p. 57-70 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/1874671900/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/1874671900/fulltext/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/1874671900/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |