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.

中文翻译：

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使用遗传进化模糊认知图对绿色计算采用的系统分析：菲律宾场景

目的

本文旨在提出一种新的遗传进化模糊认知映射方法，作为决策框架，用于分析驱动因素与采用绿色计算的策略之间的关系。

设计/方法/方法

菲律宾利益相关者之间的焦点小组讨论用于建立绿色计算采用的驱动因素和战略之间的关系。

发现

所提出的方法显着降低了开发模糊认知图的时间复杂度，并为全面聚类具有相似特征的驱动因素和策略提供了基础。

研究限制/影响

本文的结果提供了有关采用绿色计算的驱动因素和策略如何促进采用利益相关者的意图的见解。此外，它提供了一个框架，用于以合规的方式分析因素之间存在的结构关系。

原创性/价值

据作者所知，本文首次从复杂系统的角度分析了绿色计算的驱动因素和策略。此外，这是第一项在菲律宾场景中提供镜头的研究。