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Assessing the application of big data technology in platform business model: A hierarchical framework
- Source :
- PLoS ONE, PLoS ONE, Vol 15, Iss 9, p e0238152 (2020)
- Publication Year :
- 2020
- Publisher :
- Public Library of Science (PLoS), 2020.
-
Abstract
- This research aims to create a hierarchical framework for the development of a platform business model based on big data. However, this hierarchical framework must consider unnecessary attributes and the interrelationships between the aspects and the criteria. Hence, fuzzy set theory is used for screening out the unnecessary attributes, a decision-making and trial evaluation laboratory (DEMATEL) is proposed to manage the complex interrelationships among the aspects and attributes, and interpretive structural modeling (ISM) is used to divide the hierarchy and finally construct a hierarchical framework. The results reveal that (1) value proposition and community building in value production are fundamental links; (2) information technology and information management in value production are technical supports; (3) customer development in value marketing is the power source; and (4) value acquisition is the last link, which is established on the basis of and influenced by value marketing and value network. This hierarchical framework aims to guide the platform toward the application of big data. This study also proposes engagement of stakeholders for promoting value creation and establishing a sound business model from multiple levels and links.
- Subjects :
- Big Data
Information management
Computer and Information Sciences
Process management
Community building
Economics
Computer science
Science
Data management
Big data
Social Sciences
Business model
Sociology
Fuzzy Logic
Advertising
0502 economics and business
Centrality
Payment
Structure of Markets
Data Management
Marketing
Multidisciplinary
business.industry
Value proposition
05 social sciences
Commerce
Industrial Organization
Information technology
Models, Theoretical
Communications
Customer Development
Value network
Medicine
050211 marketing
Information Technology
business
Value (mathematics)
Finance
Network Analysis
050203 business & management
Research Article
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....07326ab9cf8a787d1a0cc6280fb69b54