The concepts of big data applied in personal knowledge management
| Autor: | Ching-Wei Lin, Che-Hung Liu, Jen Sheng Wang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Data collection
Knowledge management Computer science business.industry Strategy and Management Data management 05 social sciences Big data Context (language use) 02 engineering and technology Data science Management of Technology and Innovation 0502 economics and business 0202 electrical engineering electronic engineering information engineering Personal knowledge management 020201 artificial intelligence & image processing Behavior management Time management business Mobile device 050203 business & management |
| Zdroj: | Journal of Knowledge Management. 21:213-230 |
| ISSN: | 1367-3270 |
| DOI: | 10.1108/jkm-07-2015-0298 |
| Popis: | Purpose The purpose of this paper is to demonstrate the applications of big data in personal knowledge management (PKM). Design/methodology/approach Five conventional knowledge management dimensions, namely, the value of data, data collection, data storage, data application and data presentation, were applied for integrating big data in the context of PKM. Findings This study concludes that time management, computer usage efficiency management, mobile device usage behavior management, health management and browser surfing management are areas where big data can be applied to PKM. Originality/value While the literature discusses PKM without considering the impact of big data, this paper aims to extend existing knowledge by demonstrating the application of big data in PKM. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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