The classification and potential of business archetypes by using open data

Autor:	Tetsuo Noda, Run Duan
Rok vydání:	2019
Předmět:	Open data Knowledge management business.industry Computer science 0502 economics and business 05 social sciences 0211 other engineering and technologies 02 engineering and technology business Archetype 050203 business & management 021102 mining & metallurgy Open innovation
Zdroj:	OpenSym
DOI:	10.1145/3306446.3340830
Popis:	Public data collected or possessed by administrative agencies and subsequently released as Open Data is expected to bring about positive economic effects. The purpose of this paper is to summarize the business archetypes of using Open Data to establish whether this expectation holds true, and to classify Open Data business archetypes into 7 types to predict their commercial potential.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6ba6668a239b8d29c65068c746205c40 https://doi.org/10.1145/3306446.3340830 Zobrazit plný text záznamu