Modelling upper echelons' behavioural drivers of Green IT/IS adoption using an integrated Interpretive Structural Modelling - Analytic Network Process approach

The purpose of this paper is to understand and identify various psychological drivers which motivate managers of organizations to adopt Green information technology (Green IT) and Green information system (Green IS) within their corporations. These psychological factors are modelled through the lens of Upper Echelon Theory (UET) to study their interrelationship and interdependency and further prioritize them to strategize appropriate managerial actions. The factors were identified through an exhaustive literature review and further confirmed by the experts in the field. A hybrid Interpretive Structural Modelling - Analytic Network Process (ISM-ANP) approach has been adopted to establish the complex interrelationship among the psychological drivers and further to cluster and prioritize them. The main contribution of this study is composing directions and dominance of various psychological drivers to enhance decision-making process of managers towards the adoption of Green IT/IS. As long as decisions are made by individuals within organizations, this paper forms the basis of identifying individual-level factors important in motivating managers towards Green IT/IS adoption. The results of this study would help organizations and policy makers to understand and develop strategies to target and select an individual for managerial position with mind-set more towards environmental sustainability and Green IT/IS concepts. By applying the proposed methodology, organizations can classify and prioritize their action plans such as several educational methods to reinforce, foster and incline psychological factors to motivate their individuals to behave proenvironmentally and practice Green IT/IS initiatives to enhance environmental sustainability of their corporations.