Design of a SWOT Analysis Model and its Evaluation in Diverse Digital Business Ecosystem Contexts
Open accessAbstract
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 managers’ 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.
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Ordinarily, a SWOT analysis allows researchers to identify potential threats and weaknesses and improve existing strategies by utilizing new opportunities or neutralizing potential threats.
“Ordinarily, a SWOT analysis allows researchers to identify potential threats and weaknesses and improve existing strategies by utilizing new opportunities or neutralizing potential threats [19].”
From The Perspective of Large-Scale Production of Algae Biodiesel (2020) · cites this paper as [19]
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Cites
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The Perspective of Large-Scale Production of Algae Biodiesel
Bošnjaković, M., & Sinaga, N. (2020) · Applied Sciences · doi:10.3390/app10228181 · Cited by 194 · see citing works
Antony, C., Campbell, M., Côté, S., Bruno, G., Tinglin, C., & Lai, J. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.916256 · Cited by 13 · see citing works
“to identify and analyze the internal and external factors that have an impact on the viability of a project, product, place or person entities (47).”
Background
- Authors
- Namugenyi, C., Nimmagadda, S. L., & Reiners, T.
- Affiliations
- IIE MSA (ZA)
- Curtin University (AU)
- Corresponding author
- Nimmagadda, Shastri L
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2019
- Volume
- 159
- Pages
- 1145-1154
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W2980599920
- Cited by
- 230
- References
- 9
- Citations by year
- 2026: 16 · 2025: 33 · 2024: 57 · 2023: 57 · 2022: 38 · 2021: 21 · 2020: 7
- FWCI
- 66.96
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Computer Science (publishedVersion, cc-by-nc-nd)
- eSpace (Curtin University) (submittedVersion, cc-by-nc-nd)
- eSpace (Curtin University) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Strategic Planning and Analysis
- Social Sciences › Business, Management and Accounting › Strategy and Management › Competitive and Knowledge Intelligence
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- SWOT analysis, digital business ecosystems, enterprise systems, strategic planning, integrated project management, metadata
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