Skip to main content
Log in

Green information technology strategic justification and evaluation

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

Abstract

Green and sustainable information technology (GSIT) can be an important and strategic decision for many organizations. Strategic GSIT decisions can influence a variety of internal and external organizational stakeholders. GSIT justification and evaluation is critical to organizations, especially those seeking the ecological modernization ‘win-win’ of introducing green technologies into organizations. The literature has seen very few tools and approaches to aid in the explicit justification of strategic GSIT. Although numerous models exist for regular IT, there are certain characteristics including a greater number of factors, especially intangible and socially focused factors, requiring greater investigation of tools for the evaluation and justification process. The identification of appropriate metrics and categorizations to use in advanced strategic appraisal techniques for GSIT is in itself a non-trivial exercise. Thus, in this paper issues facing the strategic justification of GSIT set the stage for introduction of a novel, flexible and comprehensive evaluation approach utilizing a grey systems, fuzzy, and TOPSIS multiple criteria foundation. An illustrative application for evaluating and selecting alternative green data center designs sets the stage for an illustrative example and sensitivity analysis. The results are evaluated including discussion of practical and research implications. Directions for future research are also identified.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Bai, C., & Sarkis, J. (2010). Integrating sustainability into supplier selection with grey system and rough set methodologies. International Journal of Production Economics, 124(1), 252–264.

    Article  Google Scholar 

  • Bai, C., & Sarkis, J. (2011). Evaluating supplier development programs with a grey based rough set methodology. Expert Systems with Applications, 38(11), 13505–13517.

    Google Scholar 

  • Bai, C., & Sarkis, J. (2012). Performance measurement and evaluation for sustainable supply chains using rough set and data envelopment analysis. Sustainable Supply Chains, 223–241.

  • Birge, J. R., & Rosa, C. H. (1996). Parallel decomposition of large-scale stochastic nonlinear programs. Annals of Operations Research, 64(1), 39–65.

    Google Scholar 

  • Buttel, F. H. (2000). Ecological modernization as social theory. Geoforum, 31(1), 57–65.

    Article  Google Scholar 

  • Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1–9.

    Article  Google Scholar 

  • Chen, S. J., & Hwang, C. L. (Eds.). (1992). Fuzzy multiple attribute decision making methods and applications. Berlin: Springer.

    Google Scholar 

  • Chen, M. F., & Tzeng, G. H. (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modeling, 40, 1473–1490.

    Article  Google Scholar 

  • Chen, A. J., Boudreau, M.-C., & Watson, R. T. (2008). Information systems and ecological sustainability. Journal of Systems and Information Technology, 10(3), 186–201.

    Article  Google Scholar 

  • Deng, J. L. (1982). Control problems of grey system. System and Control Letters, 1.1(5), 288–294.

    Google Scholar 

  • Deng, J. L. (1988). Grey systems. Windsor: Sci-Tech Information Services.

    Google Scholar 

  • Deng, J. L. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1–24.

    Google Scholar 

  • Dickens, P. (2004). Society and nature: changing our environment. Changing Ourselves, London: Polity.

  • Dos Santos, B. L. (2003). Information technology investments: characteristics, choices, market risk and value. Information Systems Frontiers, 5(3), 289–301.

    Article  Google Scholar 

  • Dubois, D., & Prade, H. (Eds.). (1980). Fuzzy sets and systems theory and applications. New York: Academic.

    Google Scholar 

  • Gunasekaran, A., Ngai, E., & McGaughey, R. E. (2006). Information technology and systems justification: a review for research and applications. European Journal of Operational Research, 173(3), 957–983.

    Article  Google Scholar 

  • Huang, G. H., Baetz, B. W., & Patry, G. G. (1995). Grey integer programming: an application to waste management planning under uncertainty. European Journal of Operational Research, 83(3), 594–620.

    Article  Google Scholar 

  • Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision making methods and application. Berlin: Springer.

    Book  Google Scholar 

  • Irani, Z. (2002). Information systems evaluation: navigating through the problem domain. Information Management, 40(1), 11–24.

    Article  Google Scholar 

  • Janicke, M., & Jacob, K. (2011). Ecological modernisation and the creation of lead markets. Towards Environmental Innovation Systems, 175.

  • Jenkin, T. A., Webster, J., & McShane, L. (2011). An agenda for ‘Green’ information technology and systems research. Information and Organization, 21(1), 17–40.

    Article  Google Scholar 

  • Kalbar, P. P., Karmakar, S., & Asolekar, S. R. (2012). Selection of an appropriate wastewater treatment technology: a scenario-based multiple-attribute decision-making approach. Journal of Environmental Management, 113, 158–169.

    Article  Google Scholar 

  • Khalili, N. R., & Duecker, S. (2012). Application of multi-criteria decision analysis in design of sustainable environmental management systems. Journal of Cleaner Production. Available online November.

  • Kiker, G. A., Bridges, T. S., Varghese, A., Seager, T. P., & Linkov, I. (2005). Application of multicriteria decision analysis in environmental decision making. Integrated Environmental Assessment and Management, 1(2), 95–108.

    Article  Google Scholar 

  • Krohling, R. A., & Campanharo, V. C. (2011). Fuzzy TOPSIS for group decision making: a case study for accidents with oil spill in the sea. Expert Systems with Applications, 38(4), 4190–4197.

    Article  Google Scholar 

  • Lai, K.-h., Wong, C. W. Y., & Cheng, T. C. E. (2012). Ecological modernisation of Chinese export manufacturing via green logistics management and its regional implications. Technological Forecasting and Social Change, 79(4), 766–770.

    Article  Google Scholar 

  • Lefley, F., & Sarkis, J. (1997). Short-termism and the appraisal of AMT capital projects inthe US and UK. International Journal of Production Research, 35(2), 341–368.

    Article  Google Scholar 

  • Li, D.-F. (2012). A fast approach to compute fuzzy values of matrix games with payoffs of triangular fuzzy numbers. European Journal of Operational Research, 223, 421–429.

    Article  Google Scholar 

  • Li, P., Tan, T. C., & Lee, J. Y. (1997). Grey relational analysis of amine inhibition of mild steel corrosion in acids. Corrosion, 53(3), 186–194.

    Article  Google Scholar 

  • Melville, N. P. (2010). Information systems innovation for environmental sustainability. MIS Quarterly, 34(1), 1–21.

    Google Scholar 

  • Mol, A. P. (2001). Globalization and environmental reform: the ecological modernization of the global economy. Cambridge: MIT Press.

    Google Scholar 

  • Mol, A. P., Sonnenfeld, D. A., & Spaargaren, G. (2009). The ecological modernisation reader: Environmental reform in theory and practice. London: Routledge.

    Google Scholar 

  • Mondschein, S. V., & Schilkrut, A. (1997). Optimal investment policies for pollution control in the copper industry. Interfaces, 27(6), 69–87.

    Article  Google Scholar 

  • Murugesan, S., & Gangadharan, G. (2012). Green IT: an overview. Harnessing Green It: Principles and Practices, 1–21.

  • Nagel, C. (1998). Take IT back-European approaches for setting up reverse logistic systems. In Electronics and the Environment, 1998. ISEE-1998. Proceedings of the 1998 IEEE International Symposium on (pp. 25–29). IEEE.

  • Opricovica, S., & Tzeng, G.-H. (2004). Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.

    Article  Google Scholar 

  • Park, J., Sarkis, J., & Wu, Z. (2010). Creating integrated business and environmental value within the context of China’s circular economy and ecological modernization. Journal of Cleaner Production, 18(15), 1494–1501.

    Article  Google Scholar 

  • Presley, A., & Sarkis, J. (1994). An activity based strategic justification methodology for ECM technology. The International Journal of Environmentally Conscious Design and Manufacturing, 3(1), 5–17.

    Google Scholar 

  • Presley, A., Meade, L., & Sarkis, J. (2007). A strategic sustainability justification methodology for organizational decisions: a reverse logistics illustration. International Journal of Production Research, 45, 4595–4620.

    Article  Google Scholar 

  • Redciift, M., & Woodgate, G. (1997). 3. Sustainability and social construction. The international handbook of environmental sociology, 55.

  • Regnier, E., & Tovey, C. (2007). Time horizons of environmental versus non-nvironmental costs: evidence from US tort lawsuits. Business Strategy and the Environment, 16(4), 249–265.

    Article  Google Scholar 

  • Sarkis, J. (1998). Evaluating Environmentally Conscious Business Practices. European Journal of Operational Research (107), 159–174.

  • Sarkis, J. (1999). A methodological framework for evaluating environmentally conscious manufacturing programs. Computers & Industrial Engineering, 36(4), 793–810.

    Google Scholar 

  • Sarkis, J. (2009). Convincing industry that there is value in environmentally supply chains. Problems of Sustainable Development, 4(1), 61–64.

    Google Scholar 

  • Sarkis, J. (Ed.). (2012). Green enterprises and the role of IT. In: Harnessing green IT: Principles and practices, eds. Murugesan and Gangadharan, Wiley, UK. pp. 243–264.

  • Sarkis, J., & Cordeiro, J. (2009). Investigating technical and ecological efficiencies in the electricity generation industry: are there win-win opportunities? Journal of the Operational Research Society, 60(9), 1160–1172.

    Google Scholar 

  • Sarkis, J., & Cordeiro, J. J. (2012). Ecological modernization in the electrical utility industry: an application of a bads-goods DEA model of ecological and technical efficiency. European Journal of Operational Research, 219(2), 386–395.

    Article  Google Scholar 

  • Sarkis, J., & Sundarraj, R. (2000). Factors for strategic evaluation of enterprise information technologies. International Journal of Physical Distribution and Logistics Management, 30(3/4), 196–220.

    Article  Google Scholar 

  • Sarkis, J., & Sundarraj, R. (2003). Evaluating componentized enterprise information technologies: a multiattribute modeling approach. Information Systems Frontiers, 5(3), 303–319.

    Article  Google Scholar 

  • Sarkis, J., & Sundarraj, R. (2006). Evaluation of enterprise information technologies: a decision model for high-level consideration of strategic and operational issues. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 36(2), 260–273.

    Article  Google Scholar 

  • Sarkis, J., & Talluri, S. (2004). Evaluating and selecting e-commerce software and communication systems for a supply chain. European Journal of Operational Research, 159(2), 318–329.

    Article  Google Scholar 

  • Sarkis, J., & Tamarkin, M. (2005). Real options analysis for “green trading”: the case of greenhouse gases. The Engineering Economist, 50(3), 273–294.

    Article  Google Scholar 

  • Sarkis, J., & Weinrach, J. (2001). Using data envelopment analysis to evaluate environmentally conscious waste treatment technology. Journal of Cleaner Production, 9(5), 417–427.

    Article  Google Scholar 

  • Sarkis, J., & Zhu, H. (2008). Information technology and systems in China’s circular economy: Implications for sustainability. Journal of Systems and Information Technology, 10(3), 202–217.

    Article  Google Scholar 

  • Sarkis, J., Meade, L. M., & Talluri, S. (2004). E-logistics and the natural environment. Supply Chain Management: An International Journal, 9(4), 303–312.

    Article  Google Scholar 

  • Sarkis, J., Meade, L. M., & Presley, A. R. (2012). Incorporating sustainability into contractor evaluation and team formation in the built environment. Journal of Cleaner Production, 31, 40–53.

    Article  Google Scholar 

  • USEPA (1995). An introduction to environmental accounting as a business tool: Key concepts and terms. Report EPA 742-R-95-001, USEPA Office of Pollution Prevention and Toxics: Washington, DC.

  • Vachon, S. (2007). Green supply chain practices and the selection of environmental technologies. International Journal of Production Research, 45(18–19), 4357–4379.

    Article  Google Scholar 

  • Vachon, S., & Klassen, R. D. (2007). Supply chain management and environmental technologies: the role of integration. International Journal of Production Research, 45(2), 401–423.

    Article  Google Scholar 

  • Wattanapinyo, A., & Mol, A. P. (2011). Ecological modernization and environmental policy reform in Thailand: the case of food processing SMEs. Sustainable Development. Article first published online: 23 JAN 2011. doi: 10.1002/sd.506.

  • Yu, V. F., & Hu, K. J. (2010). An integrated fuzzy multi-criteria approach for the performance evaluation of multiple manufacturing plants. Computers and Industrial Engineering, 58(2), 269–277.

    Article  Google Scholar 

  • Zhu, Q., Geng, Y., Sarkis, J., & Lai, K.-h. (2011). Evaluating green supply chain management among Chinese manufacturers from the ecological modernization perspective. Transportation Research Part E: Logistics and Transportation Review, 47(6), 808–821.

    Article  Google Scholar 

  • Zhu, Q., Sarkis, J., & Lai, K.-h. (2012). Green supply chain management innovation diffusion and its relationship to organizational improvement: An ecological modernization perspective. Journal of Engineering and Technology Management, 29(1), 168–185.

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by the National Natural Science Foundation of China Project (71102090),(71002094); Liaoning Social Science Planning Foundation of China (L11DGL019); Liaoning Education Department Foundation of China (W2011125);

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chunguang Bai.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bai, C., Sarkis, J. Green information technology strategic justification and evaluation. Inf Syst Front 15, 831–847 (2013). https://doi.org/10.1007/s10796-013-9425-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10796-013-9425-x

Keywords

Navigation