Title: Information-driven roadmapping for strategic planning: a case study in a logistics company

Authors: Mei Na Cheng; Chi Fai Cheung; Chung Yan Wu

Addresses: Knowledge Management and Innovation Research Centre, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong ' Knowledge Management and Innovation Research Centre, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong ' Knowledge Management and Innovation Research Centre, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

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.

Keywords: technology roadmapping; information-driven; strategic planning; service industry; technology management.

DOI: 10.1504/IJFIP.2021.118800

International Journal of Foresight and Innovation Policy, 2021 Vol.15 No.4, pp.205 - 229

Accepted: 11 Jul 2020
Published online: 08 Nov 2021 *

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