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

Abstract

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.

Analyzing the Barriers Affecting the Adoption of Green Computing: A Hybrid Method Approach

“…However, there are limited studies on barriers to green computing adoption in the existing literature (Abellana & Mayol, 2022). Professionals have a challenging problem when figuring out how to embrace green computing and integrate it with an organization's current business processes, which in practice will provide a barrier to the adoption of new technology (Abellana, 2021;Abellana & Mayol, 2022). It is easier to execute and accomplish the desired objectives of adopting a new technology when hurdles to adoption are identified (Chouki et al, 2022).…”