Title: Do green information systems impact performance?

Authors: Vikram S. Bhadauria; Lisa Toms; Kenneth W. Green Jr.; Jeramy Meacham

Addresses: Department of Management, Marketing, and MIS, College of Business, Southern Arkansas University, P.O. Box 9410, Magnolia, Arkansas 71754, USA ' College of Business, Southern Arkansas University, P.O. Box 9410, Magnolia, Arkansas 71754, USA ' Department of Management, Marketing, and MIS, College of Business, Southern Arkansas University, P.O. Box 9410, Magnolia, Arkansas 71754, USA ' Department of Management, Marketing, and MIS, College of Business, Southern Arkansas University, P.O. Box 9410, Magnolia, Arkansas 71754, USA

Abstract: A structural model depicting the impact of green information systems on environmental, economic, and operational performance is theorised and assessed. Data were collected from 159 manufacturing managers and analysed using a structural equation modelling methodology. Green information systems positively and directly impact environmental, economic, operational performance. Green information systems also indirectly impact operational performance through environmental performance and indirectly impact economic performance through environmental performance. Organisations striving to improve environmental sustainability and operational performance are encouraged to modify existing enterprise resource planning systems to capture data and information related to environmental sustainability efforts. Evidence supports the need for manufacturers to develop green information system capabilities to improve environmental and operational performance. The results of this investigation support the proposition that green information systems are necessary to achieve environmental and economic sustainability.

Keywords: green information systems; environmental performance; economic performance; operational performance; manufacturing industry; structural equation modelling; SEM; environmental sustainability; sustainable development; enterprise resource planning; ERP modification.

DOI: 10.1504/IJPQM.2014.062218

International Journal of Productivity and Quality Management, 2014 Vol.13 No.4, pp.377 - 394

Available online: 02 Jun 2014 *

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