The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Green IS: Concepts and Issues for Information Systems Research
Open accessAbstract
While public awareness of environmental sustainability is growing, there is concern about the economic costs of shifting to a greener economy. In the case of climate change, a critical issue is the relationship of economic output to greenhouse gas emissions, which has been labeled carbon productivity. Increasing carbon productivity means that economic growth can be sustained while emissions are reduced. Information technology has great potential to enhance carbon productivity, as IT is used to increase the energy efficiency of buildings, transportation systems, supply chains and electrical grids. On the other hand, the production and use of computers is a fast-growing component of global energy consumption and greenhouse gas emissions, a fact that must be balanced against the benefits of IT use. Green IS refers to the use of information systems to achieve environmental objectives, while Green IT emphasizes reducing the environmental impacts of IT production and use. This article focuses primarily on Green IS. It reviews existing Green IS research, presents a model of IT investment and carbon productivity, and lays out suggestions for future research.
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Cites
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Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending
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The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?
Oliner, S. D., & Sichel, D. E. (2000) · Journal of Economic Perspectives · doi:10.1257/jep.14.4.3 · Cited by 1,845
Harnessing Green IT: Principles and Practices
Murugesan, S. (2008) · IT Professional · doi:10.1109/mitp.2008.10 · Cited by 1,184
Information technology and economic performance: A critical review of the empirical evidence
Dedrick, J., Gurbaxani, V., & Kraemer, K. L. (2003) · ACM Computing Surveys · doi:10.1145/641865.641866 · Cited by 955
Self-citationInformation Technology and Productivity: Evidence from Country-Level Data
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Information Systems Innovation for Environmental Sustainability1
Melville, N. P. (2010) · MIS Quarterly · doi:10.2307/20721412 · Cited by 868
Information systems innovation for environmental sustainability
Melville, N. P. (2010) · MIS Quarterly · doi:10.5555/2017447.2017449 · Cited by 790
An Inconvenient Truth: The Planetary Emergency of Global Warming and What We Can Do About It
Gore, A. (2006) · Cited by 655
Information Technology Payoff in the Health-Care Industry: A Longitudinal Study
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Cited by
Dwivedi, Y. K., Hughes, L., Kar, A. K., Baabdullah, A. M., Grover, P., Abbas, R., Andreini, D., Abumoghli, I., Barlette, Y., Bunker, D., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102456 · Cited by 761
ICT and environmental sustainability: A global perspective
Añón Higón, D., Gholami, R., & Shirazi, F. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.01.001 · Cited by 635
Gholami, R., Sulaiman, A. B., Ramayah, T., & Molla, A. (2013) · Information & Management · doi:10.1016/j.im.2013.01.004 · Cited by 481
Seidel, S., Recker, J., & Brocke, J. V. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.4.13 · Cited by 461
Theory of reasoned action application for green information technology acceptance
Mishra, D., Akman, I., & Mishra, A. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.030 · Cited by 275
Metadata
- Authors
- Dedrick, J.
- Venue
- Communications of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2010
- Volume
- 27
- ISSN
- 1529-3181 (ISSN-L)
- OpenAlex
- W201032658
- Cited by
- 302
- References
- 32
- FWCI
- 13.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.