A systemic analysis of green computing adoption using genetically evolved fuzzy cognitive map: a Philippine scenario.

Purpose: This paper aims to propose a new genetically evolved fuzzy cognitive mapping approach as a decision-making framework for analyzing the relationships between the drivers and strategies for green computing adoption. Design/methodology/approach: A focus group discussion among stakeholders in the Philippines is used to establish the relationships between the drivers and strategies of green computing adoption. Findings: The proposed approach significantly reduces the time complexity for developing the fuzzy cognitive maps and provides a basis for comprehensively clustering drivers and strategies that share similar characteristics. Research limitations/implications: This paper's results provide insights into how the drivers and strategies of green computing adoption facilitate the intention of adopting stakeholders. Moreover, it provides a framework for analyzing structural relationships that exist between factors in a compliant manner. Originality/value: To the best of the author's knowledge, the paper is the first to analyze the drivers and strategies of green computing under a complex systems' perspective. Moreover, this is the first study to offer lenses in a Philippine scenario. [ABSTRACT FROM AUTHOR]