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dc.contributor.authorNamugenyi, C.
dc.contributor.authorNimmagadda, Shastri L
dc.contributor.authorReiners, Torsten
dc.date.accessioned2019-10-16T04:37:37Z
dc.date.available2019-10-16T04:37:37Z
dc.date.issued2019
dc.identifier.citationNamugenyi, C. and Nimmagadda, S.L. and Reiners, T. 2019. Design of a SWOT Analysis Model and its Evaluation in Diverse Digital Business Ecosystem Contexts. Procedia Computer Science. 159: pp. 1145-1154.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/76575
dc.identifier.doi10.1016/j.procs.2019.09.283
dc.description.abstract

Investigating the Strengths, Weaknesses, Opportunities and Threats (SWOT) of enterprise systems is popular among business researchers in major organizations. Many establishments carry out SWOT analysis at strategic planning, quality control while formulating government policies and legislations. In the digital ecosystems scenarios, the SWOT activities need a great deal of attention, in particular, while designing and promoting new strategies of multiple industry scenarios in the Integrated Project Management context, keeping in view complex business operations. Information solutions may not have choices, failing to address priorities and provide alternate solutions. We focus on digital ecosystem methodologies, in which the business and organizational issues, challenges and priorities are addressed. The purpose of the research is designing a new SWOT model in which the elements are modelled to interrogate managersâ views to oversee new insights of a variety of business contexts that can guide SWOT analyzers and provide digital ecosystem services in multiple industry operations in an optimum manner. Issues and challenges of elements of SWOT of several public and private sector companies are analyzed, documented and modelled to evaluate unified metadata representing multiple industry views, their visualization and interpretation in new knowledge domains.

dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleDesign of a SWOT Analysis Model and its Evaluation in Diverse Digital Business Ecosystem Contexts
dc.typeJournal Article
dcterms.source.volume159
dcterms.source.startPage1145
dcterms.source.endPage1154
dcterms.source.issn1877-0509
dcterms.source.titleProcedia Computer Science
dc.date.updated2019-10-16T04:37:37Z
curtin.departmentSchool of Management
curtin.accessStatusOpen access
curtin.facultyFaculty of Business and Law
curtin.contributor.orcidReiners, Torsten [0000-0001-6243-4267]
curtin.contributor.researcheridReiners, Torsten [G-3035-2012]
curtin.contributor.scopusauthoridReiners, Torsten [6603378573]


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