TY - GEN
T1 - An ontology for open government data business model
AU - Zeleti, Fatemeh Ahmadi
AU - Ojo, Adegboyega
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/3/7
Y1 - 2017/3/7
N2 - Despite the existence of number of well-known conceptualization in e-Business and e-Commerce, there have been no efforts so far to develop a detailed, comprehensive conceptualization for business model. Current business literature is replete with fragmented conceptualizations, which only partially describe aspects of a business model. In addition, the existing conceptualizations do not explicitly support the emerging phenomenon of open government data - an increasingly valuable economic and strategic resource. Consequently, no comprehensive, formal, executable open government data business model ontology exists, that could be directly leveraged to facilitate the design, development of an operational open data business model. This paper bridges this gap by providing a parsimonious yet sufficiently detailed, conceptualization and formal ontology of open government data business model for open data-driven organizations. Following the design science approach, we developed the ontology as a 'design artefact' and validate the ontology by using it to describe an open data business model of an open data-driven organization.
AB - Despite the existence of number of well-known conceptualization in e-Business and e-Commerce, there have been no efforts so far to develop a detailed, comprehensive conceptualization for business model. Current business literature is replete with fragmented conceptualizations, which only partially describe aspects of a business model. In addition, the existing conceptualizations do not explicitly support the emerging phenomenon of open government data - an increasingly valuable economic and strategic resource. Consequently, no comprehensive, formal, executable open government data business model ontology exists, that could be directly leveraged to facilitate the design, development of an operational open data business model. This paper bridges this gap by providing a parsimonious yet sufficiently detailed, conceptualization and formal ontology of open government data business model for open data-driven organizations. Following the design science approach, we developed the ontology as a 'design artefact' and validate the ontology by using it to describe an open data business model of an open data-driven organization.
KW - And business model ontology
KW - E-business ontology
KW - E-commerce ontology
KW - Formal conceptualization
KW - Open data business model
KW - Open data-driven organization
KW - Open government data
UR - http://www.scopus.com/inward/record.url?scp=85020862874&partnerID=8YFLogxK
U2 - 10.1145/3047273.3047327
DO - 10.1145/3047273.3047327
M3 - Conference Publication
T3 - ACM International Conference Proceeding Series
SP - 195
EP - 203
BT - Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2017
A2 - De', Rahul
A2 - Janowski, Tomasz
A2 - Baguma, Rehema
PB - Association for Computing Machinery
T2 - 10th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2017
Y2 - 7 March 2017 through 9 March 2017
ER -
