Big Data Value Engineering for Business Model Innovation
| dc.contributor.author | Chen, Hong-Mei | |
| dc.contributor.author | Kazman, Rick | |
| dc.contributor.author | Garbajosa, Juan | |
| dc.contributor.author | Gonzalez, Eloy | |
| dc.date.accessioned | 2016-12-29T02:11:06Z | |
| dc.date.available | 2016-12-29T02:11:06Z | |
| dc.date.issued | 2017-01-04 | |
| dc.description.abstract | Big data value engineering for business model innovation requires a drastically different approach as compared with methods for engineering value under existing business models. Taking a Design Science approach, we conducted an exploratory study to formulate the requirements for a method to aid in engineering value via innovation. We then developed a method, called Eco-ARCH (Eco-ARCHitecture) for value discovery. This method is tightly integrated with the BDD (Big Data Design) method for value realization, to form a big data value engineering methodology for addressing these requirements. The Eco-ARCH approach is most suitable for the big data context where system boundaries are fluid, requirements are ill-defined, many stakeholders are unknown, design goals are not provided, no central architecture pre-exists, system behavior is non-deterministic and continuously evolving, and co-creation with consumers and prosumers is essential to achieving innovation goals. The method was empirically validated in collaboration with an IT service company in the Electric Power industry. | |
| dc.format.extent | 10 pages | |
| dc.identifier.doi | 10.24251/HICSS.2017.713 | |
| dc.identifier.isbn | 978-0-9981331-0-2 | |
| dc.identifier.uri | http://hdl.handle.net/10125/41877 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings of the 50th Hawaii International Conference on System Sciences | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | architecture landscape | |
| dc.subject | Big Data | |
| dc.subject | eco-architecture | |
| dc.subject | value engineering methodology | |
| dc.subject | big data value discovery | |
| dc.title | Big Data Value Engineering for Business Model Innovation | |
| dc.type | Conference Paper | |
| dc.type.dcmi | Text |
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