ABSTRACT
There is abundant scientific evidence that the natural environment, on which we are completely dependent for life, is degrading and depleting to the extent that our medium- to long-term well-being and existence is under threat. It is also clear that IT is contributing to this degradation and depletion, which requires that Green IT practices be an imperative. Since Green IT practices are often not common sense, it is vital that these Green IT practices are taught to others, and teachers typically have the skills and opportunities to teach many people. This demonstrates the relevance and significance of the study. The research problem is the lack of research addressing the theoretical antecedents to teaching Green IT, which are considered vital for understanding how to improve student teachers' intention to teach Green IT and their resultant teaching of Green IT. The study addressed this research problem by surveying student teachers using a quantitative questionnaire at three teacher training institutions in Swaziland, Africa. The resultant data was analysed using structural equation modeling (SEM) based on an a priori set of antecedents and their hypothesized relationships from the literature. The findings indicate that the most beneficial allocation of time and resources would be to enhance the student teachers' level of awareness, perceived behavioural control and person-related beliefs to positively influence their intention to teach Green IT, and consequently, their actual behaviour of teaching Green IT.
- I. Ajzen. n.d. TPB Diagram. Retrieved on 13 September 2017, from http://people.umass.edu/aizen/tpb.diag.html#null-link.Google Scholar
- I. Ajzen. 1991. A theory of planned behaviour. Organizational Behaviour and Human Decision Processes 50, 2 (1991), 179-1991.Google ScholarCross Ref
- I. Akman and A. Mishra. 2015. Sector diversity in green information technology practices: Technology acceptance model perspective. Computers in Human Behavior 49, (2015), 477-486. Google ScholarDigital Library
- I. Akman and A. Mishra. 2014. Green information technology practices among IT professionals: Theory of planned behavior perspective. Problems of Sustainable Development 9, 2 (2014), 47-54.Google Scholar
- N. L. Ansari, M. Ashraf, B. T. Malik, and H. Grunfeld. 2010. Green IT awareness and practices: Results from a field study on mobile phone related e-waste in bangladesh. In Proceedings of the Proceedings of IEEE International Symposium on Technology and Society. IEEE, 375-383.Google Scholar
- B. Beadnell, S. A. Baker, M. R. Gillmore, D. M. Morrison, B. Huang, and S. Stielstra. 2008. The theory of reasoned action and the role of external factors on heterosexual men's monogamy and condom use. Journal of Applied Social Psychology 38, 1 (2008), 97-134.Google ScholarCross Ref
- C. Beckford. 2008. Re-orienting environmental education in teacher education programs in ontario. Journal of Teaching and Learning 5, 1 (2008), 55-66.Google Scholar
- A. Boomsma. 2000. Reporting analyses of covariance structures. Structural Equation Modeling: A Multidisciplinary Journal 7, 3 (2000), 461-483.Google ScholarCross Ref
- H. Boon and K. Wilson. 2011. Pre-service teachers' preparedness for sustainability education: A case study. In Proceedings of the Proceedinds of Australian Teacher Educators' Association 2011 Conference. James Cook University, 1-12.Google Scholar
- T. Boubonari, A. Markos, and T. Kevrekidis. 2013. Greek pre-service teachers' knowledge, attitudes, and environmental behavior toward marine pollution. The Journal of Environmental Education 44, 4 (2013), 232-251.Google ScholarCross Ref
- M. Burmeister and I. Eilks. 2013. An understanding of sustainability and education for sustainable development among german student teachers and trainee teachers of chemistry. Science Education International 24, 2 (2013), 167-194.Google Scholar
- M. B. Butler. 1999. Factors associated with students' intentions to engage in science learning activities. Journal of Research in Science Teaching 36, 4 (1999), 455-473.Google ScholarCross Ref
- Çakir, M., Irez, S., & Dogan, Ö. K., 2010. Understanding of current environmental issues: Turkish case study in six teacher education colleges. Educational Studies 36, 1 (2010), 21-33.Google ScholarCross Ref
- Y. Chen, S. I. Shi, and W. S. Chow. 2015. Investigating users ' extrinsic motivation for green personal computing. Journal of Computer Information Systems 56, 1 (2015), 70-78.Google ScholarCross Ref
- T. G. Choon, A. Sulaiman, and H. Mallasi. 2014. Intention to use green IT among students. International Journal of Research in Business and Technology 4, 2 (2014), 2291-2118.Google Scholar
- D. C. Chou and A. Y. Chou. 2012. Awareness of green IT and its value model. Computer Standards {\&} Interfaces 34, 5 (2012), 447-451. Google ScholarDigital Library
- W. S. Chow and Y. Chen. 2009. Intended belief and actual behavior in green computing in hong kong. Journal of Computer Information Systems 50, 2 (2009), 136-141.Google Scholar
- P. Y. Chu, N. Hsiao, F. W. Lee, and C. W. Chen. 2004. Exploring success factors for taiwan's government electronic tendering system: Behavioral perspectives from end users. Government Information Quarterly 21, 2 (2004), 219-234.Google ScholarCross Ref
- A. B. Costello and J. W. Osborne. 2009. Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Pan-Pacific Management Review 12, 2 (2009), 131-146.Google Scholar
- L. A. Crosby and D. D. Muehling. 1983. External variables and the fishbein model: Mediation, moderation, or direct effects? Advances in Consumer Research 10, 1 (1983), 94-99.Google Scholar
- A. de Leeuw, P. Valois, I. Ajzen, P. Schmidt, P. Valois, and P. Schmidt. 2015. Using the theory of planned behavior to identify key beliefs underlying proenvironmental behavior in high-school students: Implications for educational interventions. Journal of Environmental Psychology 42, (2015), 128-138.Google Scholar
- K. Dookhitram, J. Narsoo, M. S. Sunhaloo, A. Sukhoo, and M. Soobron. 2012. Green computing: An awareness survey among university of technology, mauritius students. In Proceedings of the Proceedings of International Conference on Higher Education and Economic Development. 1-8.Google Scholar
- S. Elliot and J. Webster. 2017. Editorial: Special issue on empirical research on information systems addressing the challenges of environmental sustainability: An imperative for urgent action. Information Systems Journal 27, 4 (2017), 367-378.Google ScholarCross Ref
- N. Esa. 2010. Environmental knowledge, attitude and practices of student teachers. International Research in Geographical and Environmental Education 19, 1 (2010), 39-50.Google ScholarCross Ref
- N. S. Evans, H. Whitehouse, and R. Hickey. 2012. Pre-service teachers' conceptions of education for sustainability. Australian Journal of Teacher Education 37, 7 (2012), 1-12.Google ScholarCross Ref
- M. Fishbein and I. Ajzen. 1975. Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Behaviour Addison-Wesley, Reading.Google Scholar
- H. Gerber and N. Hall. 2018. Quantitative research design. (2018), 1-64.Google Scholar
- M. Greaves, L. D. Zibarras, and C. Stride. 2013. Using the theory of planned behavior to explore environmental behavioral intentions in the workplace. Journal of Environmental Psychology 34, (2013), 109-120.Google Scholar
- R. M. Grinnell and Y. A. Unrau (Eds.). 2008. Social Work Research and Evaluation: Foundations of Evidence-Based Practice (8th ed.). Oxford University Press, New York.Google Scholar
- V. Grover and A. H. Segars. 2005. An empirical evaluation of stages of strategic information systems planning: Patterns of process design and effectiveness. Information and Management 42, 5 (2005), 761-779. Google ScholarDigital Library
- H. Han, L. T. Hsu, and C. Sheu. 2010. Application of the theory of planned behavior to green hotel choice: Testing the effect of environmental friendly activities. Tourism Management 31, 3 (2010), 325-334.Google ScholarCross Ref
- J. M. C. J. Hernandez and J. A. Mazzon. 2007. Adoption of internet banking: Proposition and implementation of an integrated methodology approach. International Journal of Bank Marketing 25, 2 (2007), 72-88.Google ScholarCross Ref
- T. Heskett. 2010. Going Green Teacher Created Resource, Westminster.Google Scholar
- J. Houser. 2016. Nursing Research: Reading, using and Creative Evidence (2nd ed.). Jones and Bartlett Learning, Burlington.Google Scholar
- L. Hu and P. M. Bentler. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal 6, 1 (1999), 1-55.Google ScholarCross Ref
- V. Jupp (Ed.). 2006. The Sage Dictionary of Social Research Methods SAGE Publications, Ltd, London, England.Google Scholar
- H. F. Kaiser and J. Rice. 1974. Little jiffy, mark IV. Educational and Psychological Measurement 34, 1 (1974), 111-117.Google ScholarCross Ref
- M. Karpudewan, Z. Ismail, and N. Mohamed. 2013. Pre-service teachers' understanding and awareness of sustainable development concepts. Asia Pacific Journal of Educators and Education 28, (2013), 117-130.Google Scholar
- M. Kaur and M. Kaur. 2013. A comparative study of environmental awareness among propsective school teachers and in service school teachers. Learning Community - an International Journal of Education and Social Development 4, 1 (2013), 47-53.Google Scholar
- D. Kremlberg. 2011. Practical Statistic: A Quick Guide to IBM SPSS Statistics, STATA, and Other Statistical Software SAGE, London, England. Google ScholarDigital Library
- J. Lee. Predicting the use of online video advertising: Using the theory of planned behavior (Master's thesis, Michigan State University, USA).Google Scholar
- L. L. Liang, X. Liu, and G. W. Fulmer (Eds.). 2017. Chinese Science Education in the 21st Century: Policy, Practice, and Research Springer, New York.Google Scholar
- H. Lim and A. J. Dubinsky. 2005. The theory of planned behavior in ecommerce: Making a case for interdependencies between salient beliefs. Psychology {\&} Marketing 22, 10 (2005), 833-855.Google Scholar
- W. H. Loo, P. H. P. Yeow, and U. C. Eze. 2014. A study of green IT behavior among individual consumers: Responsible acquisition of computers. (2014).Google Scholar
- P. S. Low. 2006. Climate Change and Africa Cambridge University Press, New York.Google Scholar
- M. H. Maizaitulaidawati and A. R. Asmak. 2016. Predicting intention to participate in family takaful scheme using decomposed theory of planned behaviour. International Journal of Social Economics 43, 12 (2016), 20.Google Scholar
- R. Mancha, K. Muniz, and C. Yoder. 2014. Studying executives green behaviours: An enviromental theory of planned behaviour. In Proceedings of the Proceedings of Americas Conference on Information Systems. Association for Information Systems, 1-9.Google Scholar
- N. P. Melville. 2010. Information systems innovation for environmental sustainability. MIS Quarterly 34, 1 (2010), 1-21. Google ScholarDigital Library
- D. Mishra, I. Akman, and A. Mishra. 2014. Theory of reasoned action application for green information technology acceptance. Computers in Human Behavior 36, (2014), 29-40. Google ScholarDigital Library
- A. Molla. 2008. GITAM: A model for the adoption of green IT. In Proceedings of the 19th Australasian Conference on Information Systems (ACIS), Christchurch, New Zealand. Association for Information Systems AIS Electronic Library (AISeL), 658-668.Google Scholar
- A. Molla, V. Cooper, B. Corbitt, H. Deng, K. Peszynski, S. Pittayachawan, and S. Teoh. 2008. E-readiness to G-readiness: Developing a green information technology readiness framework. In Proceedings of the 19th Australasian Conference on Information Systems (ACIS). University of Canterbury, Christchurch, New Zealand, 669-678.Google Scholar
- A. Molla, A. Abareshi, and V. Cooper. 2014. Green IT beliefs and proenvironmental IT practices among IT professionals. Information Technology {\&} People 27, 2 (2014), 129-154.Google Scholar
- D. R. Monette, T. J. Sullivan, and C. R. DeJong. 2013. Applied Social Research: A Tool for the Human Services Cengage Learning, Belmont, USA.Google Scholar
- S. Murugesan. 2008. Harnessing green IT: Principles and practices. IT Professional Magazine 10, 1 (2008), 24-33. Google ScholarDigital Library
- S. E. Myse. 2012. Why use demographic questions in surveys. (2012).Google Scholar
- J. Neil. 2008. Lesson 01: Survey research. (2008).Google Scholar
- J. C. Nunnally. 1976. Psychometric Theory McGraw-Hill, New York.Google Scholar
- J. W. Osbone. 2013. Best Practices in Data Cleaning: A Complete Guide to Everything You Need to do before and After Cleaning Your Data. SAGE, London, England.Google Scholar
- M. Özden. 2008. Environmental awareness and attitudes of student teachers: An empirical research. International Research in Geographical and Environmental Education 17, 1 (2008), 40-55.Google ScholarCross Ref
- J. Park and S. Ha. 2014. Understanding consumer recycling behavior: Combining the theory of planned behavior and the norm activation model. Family and Consumer Sciences Research Journal 42, 3 (2014), 278-291.Google ScholarCross Ref
- D. F. Polit and C. T. Beck. 2010. Essentials of Nursing Research: Appraising Evidence for Nursing Practice Lippincott Williams {\&} Wilkins, Norristown.Google Scholar
- E. Redman. 2013. Opportunities and challenges for integrating sustainability education into k-12 schools: Case study phoenix, AZ. Journal of Teacher Education for Sustainability 15, 2 (2013), 5-24.Google ScholarCross Ref
- J. Reinard. 2006. Communication Research Statistics SAGE, Thousand Oaks, California.Google Scholar
- Y. Rosseel. 2012. Lavaan: An R package for structural equation modeling. Journal of Statistical Software 48, 2 (2012), 1-36.Google ScholarCross Ref
- N. O. Rourke and L. Hatcher. 2013. A Step-by-Step Approach to using SAS Factor Analysis and Structural Equation Modeling (2nd ed.). SAS Institute Inc, Cary. Google ScholarDigital Library
- J. B. Schreiber, A. Nora, F. K. Stage, E. A. Barlow, and J. King. 2006. Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research 99, 6 (2006), 323-338.Google ScholarCross Ref
- S. Taylor and P. Todd. 1995. Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing 12, 2 (1995), 137-155.Google ScholarCross Ref
- J. Timothy and A. Peggy. 2013. Exploring factors that predict preservice teachers' intentions to use web 2.0 technologies using decomposed theory of planned behavior. Journal of Research on Technology in Education 45, 2 (2013), 171-196.Google Scholar
- M. D. C. Tongco. 2007. Purpose sampling as a tool for information selection. Ethnobotany Research and Applications 5, (2007), 147-158.Google Scholar
- B. Unhelkar. 2010. Handbook of Research on Green ICT: Technology, Business and Social Perspectives Information Science Reference, Hershey. Google ScholarDigital Library
- K. A. Wheeler and J. M. Bryne. 2003. K-12 sustainability education: Its status and where higher education should interverne. Planning for Higher Education 31, 2 (2003), 23-29.Google Scholar
- R. L. Worthington and T. A. Whittaker. 2006. A content analysis and recommendations for best practices. The Counselling Pyschologist 34, 6 (2006), 806-838.Google ScholarCross Ref
- Z. Wu. 2002. Green schools in china. The Journal of Environmental Education 34, 1 (2002), 21-25.Google ScholarCross Ref
- F. Yagmaei. 2010. Understanding computerised information systems usage in community health. In Proceedings of the Handbook of Research on Information Technology Management and Clinical Data Administration in Healthcare. IGI Global, 1388-1399.Google Scholar
Index Terms
- Investigating the antecedents to teaching green information technology (Green IT): a survey of student teachers in Swaziland
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