Assessing the Level of Holistic Approach of Roadmapping Patterns in order to Select the Appropriate Pattern for Business Domain Roadmapping
Journal Title: System Engineering and Productivity - Year 2022, Vol 2, Issue 3
Abstract
In this article, the proposed approaches to preparing a roadmap are evaluated with transparency indicators of holistic orientation. It has been shown that holistic orientation and considering the role of all the main elements of a business area in preparing a roadmap have a direct impact on reducing the challenges of preparing a roadmap. Therefore, identifying the approaches that pay the most attention to transparency in holistic orientation can be effective in choosing the best approach to preparing a roadmap. For this purpose, first, appropriate indicators for measuring holistic orientation were extracted in the focus group. These indicators were subjected to a validity test in the expert panel and confirmed. Then, thirteen methods of preparing a roadmap were evaluated using the content analysis method and a comparative approach. This evaluation shows that the transparency indicator of the role of the policymaker in preparing a roadmap has always been a neglected indicator. The Coppel approach and the technology development package approach with 71% transparency of holistic orientation indicators are the most appropriate approaches known for business area roadmaps. The improved T-Plan approach provides only 57% transparency and is not suitable for preparing a roadmap for the business sector. The Iranian E-Plan approach, which aims to reduce the challenges of preparing a roadmap in the business sector and is designed based on clarifying the role of the main elements of the business sector, has the most complete transparency in the indicators of holistic orientation. The E-Plan model has been used so far in preparing roadmaps for various defense and non-defense business sectors, including the intelligent road transportation roadmap, and has shown good capabilities.
Authors and Affiliations
Khosravi, A. Ahmadvand, A. M.
Keywords
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- EP ID EP768167
- DOI 10.22034/sep.2022.243417
- Views 6
- Downloads 0
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