Strategic planning: A quantitative model for the strategic evaluation of emerging technologies
Issued Date
2015
Resource Type
Language
eng
ISBN
9783319185583 (electronic)
Rights
Mahidol University
Rights Holder(s)
Springer International Publishing
Bibliographic Citation
Gerdsri, N. (2015). Strategic planning: A quantitative model for the strategic evaluation of emerging technologies. In Daim, Tugrul U.(Eds.). Hierarchical Decision Modeling (pp 97-119). Springer International Publishing.
Suggested Citation
Nathasit Gerdsri Strategic planning: A quantitative model for the strategic evaluation of emerging technologies. Gerdsri, N. (2015). Strategic planning: A quantitative model for the strategic evaluation of emerging technologies. In Daim, Tugrul U.(Eds.). Hierarchical Decision Modeling (pp 97-119). Springer International Publishing.. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/32898
Title
Strategic planning: A quantitative model for the strategic evaluation of emerging technologies
Author(s)
Other Contributor(s)
Abstract
This chapter presents a quantitative model used for evaluating the impact of emerging technologies on a company’s objective. The hierarchical model with four levels (objective–criteria–factors–technology alternatives) is structured to decompose the complex decision problems and incorporate quantitative and qualitative aspects into the evaluation process. A new approach on applying a semi-absolute scale to quantify the values of technologies is proposed in conjunction with the determination of criteria priorities and the relative importance of factors under each criterion. The impact of technologies on a company’s objective is calculated as a composite index called technology value. The improvement gap and improvement priority of each technology are also determined to identify the characteristics of the emerging technologies on which technology-driven companies would focus in order to maximize the impact of those technologies on the company’s strategic objectives. A case study is included in this chapter to illustrate the applicability and computations of the proposed model.