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Exploring Factors Influencing IT Workers' Green Computing Intention at a South African Firm

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Published:29 September 2014Publication History

ABSTRACT

Given the widespread use of computer technologies and mounting concerns over its impact on climate change, energy consumption and environmental degradation, one would imagine that IT workers would be practicing and advocating green computing behaviors. Employing the Theory of Planned Behaviour (TPB), this study therefore set out to examine the influence of factors such as attitude, social influence, media influence, perceived behavioral control and environmental concern on the IT worker's green computing intention. The research model was tested using survey data collected from 149 respondents within a large financial services firm in Gauteng. Descriptive statistics suggest that personal awareness, knowledge and actual green computing behaviors are low. Regression analysis indicates that environmental concern, perceived behavioral control, attitude, and media influence are important predictors while social influence plays almost no role -- suggesting that IT workers are under no social pressure to practice green computing. The paper recommends that responsible peers, firms, higher education institutions, and media focus their attention on driving environmental awareness in order to promote green computing behaviors among seemingly unaware and disempowered IT workers.

References

  1. Ajzen, I. 1991. The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes. 50, 179--211.Google ScholarGoogle ScholarCross RefCross Ref
  2. Armitage, C.J. & Conner, M. 2001. Efficacy of the Theory of Planned Behaviour: A Meta-Analytic Review. British Journal of Social Psychology. 40, 471--499.Google ScholarGoogle ScholarCross RefCross Ref
  3. Bamberg, S. 2003. How does Environmental Concern influence Specific Environmentally Related Behaviours? A new answer to an old question. Journal of Environmental Psychology. 23, 21--32.Google ScholarGoogle ScholarCross RefCross Ref
  4. Barr, S., Ford, N.J. & Gilg, A.W. 2003. Attitudes towards Recycling Household Waste in Exeter, Devon: Quantitative and Qualitative Approaches. Local Environment. 8, 4, 407--421.Google ScholarGoogle ScholarCross RefCross Ref
  5. Baron, R. & Kenny, D. 1986. The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Consideration. Journal of Personality and Social Psychology. 51, 6, 1173--1182.Google ScholarGoogle ScholarCross RefCross Ref
  6. Bhattacherjee, A. 2001. Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25, 3, 351--270. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Brown, S.A. & Venkatesh, V. 2005. Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle. MIS Quarterly. 29, 3, 399--426. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Chan, K. 1998. Mass Communication and Pro-Environmental Behaviour: Waste Recycling in Hong Kong. Journal of Environmental Management. 52, 317--325.Google ScholarGoogle ScholarCross RefCross Ref
  9. Chow, W.S. & Chen, Y. 2009. Intended Belief and Actual Behavior in Green Computing in Hong Kong. Journal of Computer Information Systems. Winter, 136--141.Google ScholarGoogle Scholar
  10. Coleman, L.J., Bahnan, N., Kelkar, M. & Curry, N. 2011. Walking the Walk: How the Theory of Reasoned Action Explains Adult and Student Intentions to go Green. The Journal of Applied Business Research. 27, 3, 107--116.Google ScholarGoogle ScholarCross RefCross Ref
  11. Ewing, G. 2001. Altruistic, Egoistic, and Normative Effects on Curbside Recycling. Environment and Behavior. 33, 6, 733--764.Google ScholarGoogle ScholarCross RefCross Ref
  12. Fransson, N. & Gäärling, T. 1999. Environmental Concern: Conceptual Definitions, Measurement Methods, and Research Findings. Journal of Environmental Psychology. 19, 369--382.Google ScholarGoogle ScholarCross RefCross Ref
  13. Fujii, S. 2006. Environmental Concern, Attitude toward Frugality, and Ease of Behavior as Determinants of Pro-Environmental Behavior Intentions. Journal of Environmental Psychology. 26, 262--268.Google ScholarGoogle ScholarCross RefCross Ref
  14. Hair, J.F., Black, W.C, Babin, B.J. & Anderson, R.E. 2010. Multivariate Data Analysis: A Global Perspective, 7th ed. Upper Saddle River, NY: Pearson.Google ScholarGoogle Scholar
  15. Hanne, F.Z. 2011. Green-It: Why Developing Countries Should Care? International Journal of Computer Science Issues. 8, 4, 424--427.Google ScholarGoogle Scholar
  16. Harrison, D.A., Mykytyn, P.P. & Riemenschneider, C.K. 1997. Executive Decisions about Adoption of Information Technology in Small Business: Theory and Empirical Tests. Information Systems Research. 8, 2, 171--195.Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Kranz, J. 2011. Why are Consumers Going Green? An Empirical Investigation of Factors Influencing Residential Green-IS Adoption. Dissertation. Institute for Information, Organization and Management, Ludwig-Maximilians University, Munich.Google ScholarGoogle Scholar
  18. Lee, Y. & Kozar, K.A. 2008. An Empirical Investigation of Anti-Spyware Software Adoption: A Multitheoretical Perspective. Information and Management. 45, 109--119. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Madden, T.J., Ellen, P.S. & Ajzen, I. 1992. A Comparison of the Theory of Planned Behaviour and the Theory of Reasoned Action. Personality and Social Psychology Bulletin. 18, 3--9.Google ScholarGoogle ScholarCross RefCross Ref
  20. Molla, A. & Cooper, V. 2009. Green IT Readiness: A Framework and Preliminary Proof of Concept. Australasian Journal of Information Systems. 16, 2, 5--23.Google ScholarGoogle Scholar
  21. Mostafa, M.M. 2007. A Hierarchical Analysis of the Green Consciousness of the Egyptian Consumer. Psychology and Marketing. 24, 5, 445--473.Google ScholarGoogle ScholarCross RefCross Ref
  22. Murugesan, S. 2007. Going Green with IT: Your Responsibility Towards Environmental Sustainability. Business-IT Strategies.10, 1--25.Google ScholarGoogle Scholar
  23. Oskamp, S., Harrington, M.J., Edwards, T.C., Sherwood, D.L., Okuda, S.M. & Swanson, D.C. 1991. Factors influencing Household Recycling Behavior. Environment and Behavior.23, 494--519.Google ScholarGoogle ScholarCross RefCross Ref
  24. Pallant, J. 2010. SPSS Survival Manual: A Step by Step Guide to Data Analysis using the SPSS Program, 4th ed. New York: McGraw-Hill.Google ScholarGoogle Scholar
  25. Petzer, C., McGibbon, C., & Brown, I. 2011. Adoption of Green IS in South Africa: an exploratory study. In Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment (pp. 330--333). (East London, South Africa, October 07 - 09, 2013) ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Pickett-Baker, J. & Ozaki, R. 2008. Pro-environmental Products: Marketing Influence on Consumer Purchase Decision. Journal of Consumer Marketing. 25, 5, 281--293.Google ScholarGoogle ScholarCross RefCross Ref
  27. Qader, I.K.A. & Zainuddin, Y.B. 2011. The Impact of Media Exposure on Intention to Purchase Green Electronic Products amongst Lecturers. International Journal of Business and Management. 6, 3, 240--248.Google ScholarGoogle ScholarCross RefCross Ref
  28. Ryan, E.J. 2008. Building Sustainable IT. The Journal of Information Technology Management. February 2008, 21, 2, 6--12.Google ScholarGoogle Scholar
  29. Simmons, D., & Widmar, R. (1990). Motivations and barriers to recycling: Toward a strategy for public education. The Journal of Environmental Education. 22, 1, 13--18.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Other conferences
      SAICSIT '14: Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SAICSIT 2014 Empowered by Technology
      September 2014
      359 pages
      ISBN:9781450332460
      DOI:10.1145/2664591

      Copyright © 2014 ACM

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      Publication History

      • Published: 29 September 2014

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