Title: | Big data for business ecosystem players |
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Authors: | ID Perko, Igor (Author) ID Ototsky, Peter (Author) |
Files: | Nase_gospodarstvo_2016_Perko,_Ototsky_Big_Data_for_Business_Ecosystem_Players.pdf (544,68 KB) MD5: 350C08DBD6B1CDC222FDA84E01BC77DF
http://www.degruyter.com/view/j/ngoe.2016.62.issue-2/ngoe-2016-0008/ngoe-2016-0008.xml
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Language: | English |
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Work type: | Scientific work |
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Typology: | 1.01 - Original Scientific Article |
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Organization: | EPF - Faculty of Business and Economics
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Abstract: | In the provided research, some of the Big Data most prospective usage domains connect with distinguished player groups found in the business ecosystem. Literature analysis is used to identify the state of the art of Big Data related research in the major domains of its use—namely, individual marketing, health treatment, work opportunities, financial services, and security enforcement. System theory was used to identify business ecosystem major player types disrupted by Big Data: individuals, small and mid-sized enterprises, large organizations, information providers, and regulators. Relationships between the domains and players were explained through new Big Data opportunities and threats and by players’ responsive strategies. System dynamics was used to visualize relationships in the provided model. |
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Keywords: | business ecosystems, Big Data, information providers, system dynamics |
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Publication status: | Published |
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Publication version: | Version of Record |
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Year of publishing: | 2016 |
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Number of pages: | str. 12-24 |
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Numbering: | Letn. 62, št. 2 |
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PID: | 20.500.12556/DKUM-65367  |
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ISSN: | 0547-3101 |
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UDC: | 659.2:004 |
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ISSN on article: | 0547-3101 |
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COBISS.SI-ID: | 12375580  |
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DOI: | 10.1515/ngoe-2016-0008  |
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NUK URN: | URN:SI:UM:DK:ZMCBUXNG |
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Publication date in DKUM: | 03.04.2017 |
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Views: | 1279 |
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Downloads: | 372 |
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Metadata: |  |
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Categories: | Misc.
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