A Novel Hybrid Model for Technology Strategy Formulating in High-tech Industries under Uncertainty: A Case Study

Abstract

Globalization and increased virtual communication have posed many challenges to high-tech companies; hence, such companies are sparing efforts to detect the best technologies in this field to solve new and emerging challenges addressing traffic load, communication system security, and infrastructure optimization. Telecommunications companies deal with a highly dynamic and uncertain environment, where their relevant technologies are changing and developing at an increasing speed. Regarding such an environment in telecommunications companies, the present study aimed to present an efficient model for formulating technology strategies for these companies. The proposed model is a hybrid method of attractiveness-capability matrix and, multi-criteria decision-making approaches in an uncertain and dynamic environment. The model provides the attractiveness-capability evaluation factors and criteria regarding the requirements of dynamic and uncertain environments in these companies. This approach provides a more accurate picture of the rapidly changing technologies in formulating technology strategy. The model also used the fuzzy TOPSIS to control the uncertainty aroused by widespread emerging technologies in such organizations. The proposed model is implemented concerning the requirements of the Mobile Communications Company of Iran (MCI), and its results are discussed in detail.

Exploring Factors Influencing Cryptocurrency Adoption: A Comprehensive Modeling Based on Fuzzy Cognitive Maps Approach

“…For example, none of the studies on cryptocurrency adoption consider the internal causal relationships between different adoption constructs and the measurement of the influence or impact of constructs on each other. Additionally, the uncertainty of relationships has been overlooked, while the need for a map of causal relationships and dependencies between constructs in adoption models has been considered necessary [26] as uncertainty-based techniques are essential for understanding emerging technologies [29,30].…”