Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94605
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Title: Information-driven roadmapping for strategic planning : a case study in a logistics company
Authors: Cheng, MN 
Cheung, CF 
Wu, CY 
Issue Date: 2021
Source: International journal of foresight and innovation policy, 2021, v. 15, no. 4, p. 205-229
Abstract: Many companies are facing the problem of fast changing trends in the market which require a huge amount of decisions to be made in order to increase their competitiveness. Roadmapping is one of the well-known approaches for strategy planning. This paper presents an information-driven roadmapping (IDRM) method by incorporating outside-in (i.e., external business environment) and inside-out (i.e., company) perspectives which provide the company certain investigation with environmental monitoring and self-assessment of the capabilities for strategic planning. The proposed IDRM method aims at addressing the market evolution (i.e., ecosystem), business evolution and business/operation model of the selected stakeholders in the ecosystem in macro, meso and micro views, and is also concerned with the implementation of the inside-out roadmapping process for strategic planning. The proposed method was fully implemented in a global logistics company. Copyright
Keywords: Information-driven
Service industry
Strategic planning
Technology management
Technology roadmapping
Publisher: Inderscience Publishers
Journal: International journal of foresight and innovation policy 
DOI: 10.1504/IJFIP.2021.118800
Rights: © 2021 Inderscience Enterprises Ltd.
The following publication Information-driven roadmapping for strategic planning: a case study in a logistics company. (2021). International Journal of Foresight and Innovation Policy, 15(4), 205-229 is available at https://dx.doi.org/10.1504/IJFIP.2021.118800. The International Journal of Foresight and Innovation Policy is available at https://www.inderscienceonline.com/journal/ijfip.
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