Abstract
With the increasing global greenhouse gas emission (GHGE) from ICT usage, several research projects have been conducted in the areas for Green IT development (such as optimal resource allocation algorithms, deterministic heuristics approaches) and Green IT deployment (integrated framework approach). Although there was significant progress in Green IT research during the period of 2008–2013, it has declined gradually in recent years. The findings from all of these Green IT research play a vital role in improving the resource optimisation, which can result in GHGE from ICT usage. This book chapter presents the findings from bibliometric analysis, co-authorship and citation network analysis on Green IT articles. The findings show that the numbers of total related articles increased from 2008 to 2013 and gradually decreased in recent years. USA, Germany, India, Australia and England are the leading countries. The high average citations of articles from Australian scholars reflect their significant academic value in this Green IT research area, although the funding support from Australia research council on Green IT is comparatively low. There is a need to encourage more academic collaborations with co-authorship to share experiences, knowledge and skills for more innovative solutions. The citations among articles from worldwide are widely distributed and well linked among articles from various countries and academic institutions.
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References
Alshuwaikhat, H. M., & Abubakar, I. (2008). An integrated approach to achieving campus sustainability: Assessment of the current campus environmental management practices. Journal of Cleaner Production, 16(16), 1777–1785.
Baraniuk, C. (2019). Bitcoin’s energy consumption ‘equals that of Switzerland’. BBC News-Technology, 3 July 2019.
Belkhir, L., & Elmeligi, A. (2018). Assessing ICT global emissions footprint: Trends to 2040 & recommendations. Journal of Cleaner Production, 177, 448–463. https://doi.org/10.1016/j.jclepro.2017.12.239.
Beloglazov, A., Abawajy, J., & Buyya, R. (2012). Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing. Future Generation Computer Systems, 28(5), 755–768. https://doi.org/10.1016/j.future.2011.04.017.
Beloglazov, A., & Buyya, R. (2012). Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers. Concurrency and Computation: Practice and Experience, 24(13), 1397–1420. https://doi.org/10.1002/cpe.1867.
Bose, R., & Luo, X. (2011). Integrative framework for assessing firms’ potential to undertake Green IT initiatives via virtualization—A theoretical perspective. The Journal of Strategic Information Systems, 20(1), 38–54.
Chen, H., & Ho, Y.-S. (2015). Highly cited articles in biomass research: A bibliometric analysis. Renewable and Sustainable Energy Reviews, 49(C), 12–20. https://doi.org/10.1016/j.rser.2015.04.060.
Dao, V., Langella, I., & Carbo, J. (2011). From green to sustainability: Information technology and an integrated sustainability framework. The Journal of Strategic Information Systems, 20(1), 63–79.
Dedrick, J. L. (2010). Green IS: Concepts and issues for information systems research. CAIS, 27(1), 11.
Enokido, T., Aikebaier, A., & Takizawa, M. (2010). A model for reducing power consumption in peer-to-peer systems. IEEE Systems Journal, 4(2), 221–229. https://doi.org/10.1109/JSYST.2010.2047296.
Gao, P. X., Curtis, A. R., Wong, B., & Keshav, S. (2012). It’s not easy being green. In Proceedings of the ACM SIGCOMM 2012 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (pp. 211–222). ACM.
Gao, C., Sun, M., Geng, Y., Wu, R., & Chen, W. (2016). A bibliometric analysis based review on wind power price. Applied Energy, 182, 602–612. https://doi.org/10.1016/j.apenergy.2016.08.144.
Gholami, R., Sulaiman, A. B., Ramayah, T., & Molla, A. (2013). Senior managers’ perception on green information systems (IS) adoption and environmental performance: Results from a field survey. Information & Management, 50(7), 431–438.
Issa, T., & Issa, T. (2017). Changing the students’ mind-set via sustainability. In Sustainability, Green IT and education strategies in the twenty-first century (pp. 1–15). Springer.
Jenkin, T. A., Webster, J., & McShane, L. (2011). An agenda for ‘Green’ information technology and systems research. Information and Organization, 21(1), 17–40.
Loos, P., Nebel, W., Gómez, J. M., Hasan, H., Watson, R. T., vom Brocke, J., et al. (2011). Green IT: A matter of business and information systems engineering? Business & Information Systems Engineering, 3(4), 245–252.
Mao, G., Liu, X., Du, H., Zuo, J., & Wang, L. (2015a). Way forward for alternative energy research: A bibliometric analysis during 1994–2013. Renewable and Sustainable Energy Reviews, 48, 276–286. https://doi.org/10.1016/j.rser.2015.03.094.
Mao, G., Zou, H., Chen, G., Du, H., & Zuo, J. (2015b). Past, current and future of biomass energy research: A bibliometric analysis. Renewable and Sustainable Energy Reviews, 52(C), 1823–1833. https://doi.org/10.1016/j.rser.2015.07.141.
Pilkington, A., & Meredith, J. (2009). The evolution of the intellectual structure of operations management—1980–2006: A citation/co-citation analysis. Journal of Operations Management, 27(3), 185–202. https://doi.org/10.1016/j.jom.2008.08.001.
Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349.
Raisig, L. M. (1962). Statistical bibliography in the health sciences. Bulletin of the Medical Library Association, 50, 450–461.
Seidel, S., Bharati, P., Fridgen, G., Watson, R. T., Albizri, A., Boudreau, M.-C., et al. (2017). The sustainability imperative in information systems research. CAIS, 40, 3.
Seidel, S., Chandra Kruse, L., Székely, N., Gau, M., & Stieger, D. (2018). Design principles for sensemaking support systems in environmental sustainability transformations. European Journal of Information Systems, 27(2), 221–247.
Seidel, S., Recker, J. C., Pimmer, C., & vom Brocke, J. (2014). IT-enabled sustainability transformation—The case of SAP. Communications of the Association for Information Systems, 35(1), 1–17.
Seidel, S., Recker, J., & Vom Brocke, J. (2013). Sensemaking and sustainable practicing: Functional affordances of information systems in green transformations. Mis Quarterly, 1275–1299.
Telle, K. (2006). “It pays to be green”—A premature conclusion? Environmental & Resource Economics, 35(3), 195–220. https://doi.org/10.1007/s10640-006-9013-3.
Van Eck, N., & Waltman, L. (2009). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.
Walley, N., & Whitehead, B. (1994). Its not easy being green. Harvard Business Review, 72(3), 46–52.
Waltman, L., Van Eck, N. J., & Noyons, E. C. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635.
Zhi, W., Yuan, L., Ji, G., Liu, Y., Cai, Z., & Chen, X. (2015). A bibliometric review on carbon cycling research during 1993–2013. Environmental Earth Sciences, 74(7), 6065–6075. https://doi.org/10.1007/s12665-015-4629-7.
Zhou, F., Guo, H.-C., Ho, Y.-S., & Wu, C.-Z. (2007). Scientometric analysis of geostatistics using multivariate methods. An International Journal for all Quantitative Aspects of the Science of Science, Communication in Science and Science Policy, 73(3), 265–279. https://doi.org/10.1007/s11192-007-1798-5.
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Zaung Nau, S., Marinova, D. (2020). A Bibliometric Analysis-Based Review on Green IT. In: Issa, T., Issa, T., Issa, T.B., Isaias, P. (eds) Sustainability Awareness and Green Information Technologies. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-47975-6_10
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