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Green IS diffusion in organizations: a model and empirical results from Malaysia

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Abstract

This article examines the variables that influence information technology (IT) executives’ intention towards diffusing Green Information System (IS) for environmental sustainability attainment in organizations by utilizing IS as a solution to resolve the issues caused by traditional IT usage. Through the review of prior Green IS and Green IT studies, this article proposes a Green IS structural model based on the Unified Theory of Acceptance and Use of Technology, after which survey data were collected from IT executives in various organizations in Malaysia. With 133 valid survey datasets at hand, partial least square-structural equation modelling method was employed to analyse the survey replies. Results show that human infrastructure, administrative policies, IS infrastructure, institutional pressure, IS strategy and knowledge accessibility significantly influence Green IS diffusion. In addition, results disclose that the moderating variable age of IT executives positively influences their behaviour towards adopting Green IS, whereas the gender, education and experience does not influences their behaviour towards Green IS diffusion. Further results reveal that control variables size, sector and revenue of the organization do not influence Green IS diffusion in organizations. Theoretical implication of this research contributes to existing knowledge on Green IS diffusion behaviours of IT executives towards environmental sustainability by offering an agenda and empirically exploring Green IS practice in organizations. Practical implication for this study provides empirical evidence from IT executives emphasizing that Green IS is capable of decreasing the environmental effects of traditional IT infrastructure deployment in organizations.

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Adapted from Venkatesh et al. (2003)

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References

  • Abareshi, A., & Molla, A. (2013). Greening logistics and its impact on environmental performance: An absorptive capacity perspective. International Journal of Logistics Research and Applications,16(3), 209–226.

    Google Scholar 

  • Abeliotis, K., Koniari, C., & Sardianou, E. (2010). The profile of the green consumer in Greece. International Journal of Consumer Studies,34(2), 153–160.

    Google Scholar 

  • Ahn, M., Kang, J., & Hustvedt, G. (2016). A model of sustainable household technology acceptance. International Journal of Consumer Studies,40(1), 83–91.

    Google Scholar 

  • Ainin, S., Naqshbandi, M. M., & Dezdar, S. (2016). Impact of adoption of Green IT practices on organizational performance. Quality & Quantity,50(5), 1929–1948.

    Google Scholar 

  • Akman, I., & Mishra, A. (2015). Sector diversity in green information technology practices: Technology acceptance model perspective. Computers in Human Behavior,49, 477–486.

    Google Scholar 

  • Anthony, B. J., & Majid, M. A. (2016a). Green IS for sustainable decision making in software management. Journal of Soft Computing and Decision Support Systems,3(3), 20–34.

    Google Scholar 

  • Anthony, B. J., & Majid, M. A. (2016b). Development of a Green ICT model for sustainable enterprise strategy. Journal of Soft Computing and Decision Support Systems,3(3), 1–12.

    Google Scholar 

  • Anthony, B., Jr., Majid, M. A., & Romli, A. (2017a). Sustainable adoption and implementation in collaborative enterprise: A systematic literature review. Journal of Theoretical and Applied Information Technology,95(9), 1875–1915.

    Google Scholar 

  • Anthony, B., Jr., Majid, M. A., & Romli, A. (2017b). A Green information technology governance framework for eco-environmental risk mitigation. Progress in Industrial Ecology, an International Journal,11(1), 30–48.

    Google Scholar 

  • Anthony, B., Jr., Majid, M. A., & Romli, A. (2017c). Green information technology system practice for sustainable collaborative enterprise: A structural literature review. International Journal of Sustainable Society,9(3), 242–272.

    Google Scholar 

  • Anthony, B., Jr., Majid, M. A., & Romli, A. (2018). A proposed model for green practice adoption and implementation in information technology based organizations. Problems of Sustainable Development,13(1), 95–112.

    Google Scholar 

  • Asabere, N. Y., Acakpovi, A., & Quaynor, N. (2016). Encouraging Green ICT implementation strategies in polytechnic education in Ghana. International Journal of Enterprise Information Systems,10(16), 14–21.

    Google Scholar 

  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science,16(1), 74–94.

    Google Scholar 

  • Bengtsson, F., & Ågerfalk, P. J. (2011). Information technology as a change actant in sustainability innovation: Insights from Uppsala. The Journal of Strategic Information Systems,20(1), 96–112.

    Google Scholar 

  • Benitez-Amado, J., Perez-Arostegui, M. N., & Tamayo-Torres, J. (2010). Information technology-enabled innovativeness and green capabilities. Journal of Computer Information Systems,51(2), 87–96.

    Google Scholar 

  • Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2003). The theoretical status of latent variables. Psychological Review,110(2), 203–219.

    Google Scholar 

  • 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.

    Google Scholar 

  • Boudreau, M. C., Chen, A., & Huber, M. (2008). Green IS: Building sustainable business practices. In R. T. Watson (Ed.), Information systems. Athens, GA: Global Text Project.

    Google Scholar 

  • Brauer, B., Ebermann, C., Hildebrandt, B., Remané, G., & Kolbe, L. M. (2016). Green by app: The contribution of mobile applications to environmental sustainability. In PACIS (p. 220).

  • Butler, T. (2011a). Compliance with institutional imperatives on environmental sustainability: Building theory on the role of Green IS. The Journal of Strategic Information Systems,20(1), 6–26.

    Google Scholar 

  • Butler, T. (2011b). Towards a practice-oriented Green IS framework. In ECIS (p. 102).

  • Butler, T., & Daly, M. (2009). Environmental responsibility and Green IT: An institutional perspective. In ECIS (pp. 1855–1866).

  • Campbell, W. M., Moore, P., & Sharma, M. (2014). Cultural transformation to support the adoption of Green IT. In 28th international conference on advanced information networking and applications workshops (pp. 554–559).

  • Carlson, R. (2017). A concrete introduction to real analysis. London: CRC Press.

    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.

    Google Scholar 

  • Chen, A. J., Watson, R. T., Boudreau, M. C., & Karahanna, E. (2011). An institutional perspective on the adoption of Green IS & IT. Australasian Journal of Information Systems, 17(1), 5–27.

    CAS  Google Scholar 

  • Chin, W. W. (2010). How to write up and report PLS analyses. Handbook of partial least squares (pp. 655–690). Berlin: Springer.

    Google Scholar 

  • Cooper, V. A., & Molla, A. (2014). Absorptive capacity and contextual factors that influence green IT assimilation. Australasian Journal of Information Systems, 18(3), 271–288.

    Google Scholar 

  • Cooper, V., & Molla, A. (2017). Information systems absorptive capacity for environmentally driven IS-enabled transformation. Information Systems Journal,27(4), 379–425.

    Google Scholar 

  • Corbett, J., & Mellouli, S. (2017). Winning the SDG battle in cities: How an integrated information ecosystem can contribute to the achievement of the 2030 sustainable development goals. Information Systems Journal. https://doi.org/10.1111/isj.12138.

    Article  Google Scholar 

  • Dalvi-Esfahani, M., Dalvi-Esfahani, M., Ramayah, T., Ramayah, T., Rahman, A. A., & Rahman, A. A. (2017). Moderating role of personal values on managers’ intention to adopt Green IS: Examining norm activation theory. Industrial Management and Data Systems,117(3), 582–604.

    Google Scholar 

  • Dalvi-Esfahani, M., & Rahman, A. A. (2016). An integrative framework to understand the influence of morality on Green IS adoption: A theoretical perspective. Journal of Theoretical and Applied Information Technology,88(2), 337.

    Google Scholar 

  • 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.

    Google Scholar 

  • Deng, Q., & Ji, S. (2015). Organizational Green IT adoption: Concept and evidence. Sustainability,7(12), 16737–16755.

    Google Scholar 

  • Dillman, D. A. (2007). Mail and internet surveys: The tailored design method—Update with new internet, visual, and mixed-mode guide (2nd ed.). Hoboken: Wiley.

    Google Scholar 

  • Do Paco, A. M. F., Raposo, M. L. B., & Leal Filho, W. (2009). Identifying the green consumer: A segmentation study. Journal of Targeting, Measurement and Analysis for Marketing,17(1), 17–25.

    Google Scholar 

  • Fakoya, M. B. (2014). Forced internalization of external environmental cost: Experience of a South African Company. Environment, Development and Sustainability,16(3), 797–807.

    Google Scholar 

  • Field, A. (2009). Discovering statistics using SPSS (3rd ed.). Los Angeles, CA: Sage.

    Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research,18(1), 39–50.

    Google Scholar 

  • Fowler, F. J. (2009). Survey research methods (4th ed.). Los Angeles, CA: Sage.

    Google Scholar 

  • Gefen, D. E., Rigdon, E., & Update, D. S. A. (2011). Extension to SEM guidelines for administrative and social science research. MIS Quarterly,35(2), 3–16.

    Google Scholar 

  • 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.

    Google Scholar 

  • Gholami, R., Watson, R. T., Molla, A., Hasan, H., & Bjørn-Andersen, N. (2016). Information systems solutions for environmental sustainability: How can we do more? Journal of the Association for Information Systems,17(8), 521.

    Google Scholar 

  • Gottschalk, I., & Kirn, S. (2013). Cloud computing as a tool for enhancing ecological goals? Business and Information Systems Engineering,5(5), 299–313.

    Google Scholar 

  • Greaves, M., Zibarras, L. D., & Stride, C. (2013). Using the theory of planned behavior to explore environmental behavioral intentions in the workplace. Journal of Environmental Psychology,34(1), 109–120.

    Google Scholar 

  • Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice,19(2), 139–151.

    Google Scholar 

  • Hanelt, A., Busse, S., & Kolbe, L. M. (2017). Driving business transformation toward sustainability: Exploring the impact of supporting IS on the performance contribution of eco-innovations. Information Systems Journal,27(4), 463–502.

    Google Scholar 

  • Hashim, R., Haron, S., Mohamad, S., & Hassan, F. (2013). Assessment of campus bus service efficacy: An application towards green environment. Procedia-Social and Behavioral Sciences,105(1), 294–303.

    Google Scholar 

  • Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.

    Google Scholar 

  • Henseler, J. (2010). On the convergence of the partial least squares path modeling algorithm. Computational Statistics,25(1), 107–120.

    Google Scholar 

  • Hilpert, H., Kranz, J., & Schumann, M. (2013). Leveraging Green IS in logistics. Business and Information Systems Engineering,5(5), 315–325.

    Google Scholar 

  • Hilty, L. M., & Aebischer, B. (2015). ICT for sustainability: An emerging research field. In L. Hilty & B. Aebischer (Eds.), ICT innovations for sustainability. Advances in intelligent systems and computing (pp. 3–36). Berlin: Springer.

    Google Scholar 

  • Hilty, L. M., & Rautenstrauch, C. (1997). Environmental management information systems for production and recycling. In Proceedings of the 2nd international symposium on environmental software systems (pp. 21–29).

  • Hollenstein, H. (2004). Determinants of the adoption of Information and Communication Technologies (ICT): An empirical analysis based on firm-level data for the Swiss business sector. Structural Change and Economic Dynamics,15(3), 315–342.

    Google Scholar 

  • Howard, G. R., & Lubbe, S. (2012). Synthesis of green is frameworks for achieving strong environmental sustainability in organisations. In Proceedings of the South African institute for computer scientists and information technologists conference (pp. 306–315).

  • Huang, A. H. (2009). A model for environmentally sustainable information systems development. Journal of Computer Information Systems,49(4), 114–121.

    Google Scholar 

  • Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal,20(2), 195–204.

    Google Scholar 

  • Husin, M. H., Loghmani, N., & Zainal Abidin, S. S. (2017). Increasing e-government adoption in Malaysia: MyEG case study. Journal of Systems and Information Technology,19(3/4), 202–227.

    Google Scholar 

  • Hutcheson, G., & Sofroniou, N. (1999). The multivariate social scientist. London: Sage.

    Google Scholar 

  • Ijab, M. T., & Molla, A. (2012). The study of Green information systems from the theory of practice perspective. In Mediterranean conference on information system proceedings (pp. 1–12).

  • Ijab, M. T., Molla, A., & Cooper, V. (2012). Green information systems (Green IS) practice in organisation: Tracing its emergence and recurrent use. In AMCIS Proceedings (p. 6).

  • Iyer, E. S., & Kashyap, R. K. (2007). Consumer recycling: Role of incentives, information, and social class. Journal of Consumer Behaviour,6(1), 32–47.

    Google Scholar 

  • Jain, S. K., & Kaur, G. (2006). Role of socio-demographics in segmenting and profiling green consumers: An exploratory study of consumers in India. Journal of International Consumer Marketing,18(3), 107–146.

    Google Scholar 

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

    Google Scholar 

  • Karanasios, S., Cooper, V., Deng, H., Molla, A., & Pittayachawan, S. (2010). Antecedents to greening data centres: A conceptual framework and exploratory case study. In Proceedings of the 21st Australasian conference on information systems.

  • Keil, M., Tan, B. C., Wei, K. K., Saarinen, T., Tuunainen, V., & Wassenaar, A. (2000). A cross-cultural study on escalation of commitment behavior in software projects. MIS Quarterly,24, 299–325.

    Google Scholar 

  • Kuo, B., & Dick, G. (2010a). The greening of organisational IT: what makes a difference? Australasian Journal of Information Systems, 16(2), 81–92.

    Google Scholar 

  • Kuo, B. N., & Dick, G. N. (2010b). Organizational Green IT: It seems the bottom line rules. In AMCIS (p. 99).

  • Lambert, D. M., & Harrington, T. C. (1990). Measuring nonresponse bias in customer service mail surveys. Journal of Business Logistics,11(2), 5.

    Google Scholar 

  • Lei, C. F., & Ngai, E. W. T. (2013). Green information technologies adoption: A managerial perspective. In PACIS (p. 274).

  • Lei, C. F., & Ngai, E. W. T. (2014). A research agenda on managerial intention to Green IT adoption: From norm activation perspective. In PACIS (p. 242).

  • Lewis, B. R., Templeton, G. F., & Byrd, T. A. (2005). A methodology for construct development in MIS research. European Journal of Information Systems,14(4), 388–400.

    Google Scholar 

  • Lintukangas, K., Kähkönen, A. K., & Ritala, P. (2016). Supply risks as drivers of green supply management adoption. Journal of Cleaner Production,112, 1901–1909.

    Google Scholar 

  • Loeser, F., Erek, K., Limbach, F., & Zarnekow, R. (2013). Shared domain knowledge in strategic green IS alignment: An analysis from the knowledge-based view. In 46th Hawaii international conference on system sciences (pp. 3515–3524).

  • Loeser, F., Recker, J., Brocke, J. V., Molla, A., & Zarnekow, R. (2017). How IT executives create organizational benefits by translating environmental strategies into Green IS initiatives. Information Systems Journal,27(4), 503–553.

    Google Scholar 

  • Malkani, A., & Starik, M. (2014). The green building technology model: An approach to understanding the adoption of green office buildings. Journal of Sustainable Real Estate,5(1), 131–148.

    Google Scholar 

  • Marshall, M. N. (1996). Sampling for qualitative research. Family Practice,13(6), 522–525.

    CAS  Google Scholar 

  • McGibbon, C., & Van Belle, J. P. (2015). Integrating environmental sustainability issues into the curriculum through problem-based and project-based learning: A case study at the University of Cape Town. Current Opinion in Environmental Sustainability,16(1), 81–88.

    Google Scholar 

  • Meacham, J., Toms, L., Green, K. W., Jr., & Bhadauria, V. S. (2013). Impact of information sharing and green information systems. Management Research Review,36(5), 478–494.

    Google Scholar 

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

    Google Scholar 

  • Mickoleit, A. (2010). Greener and smarter: ICTs, the environment and climate change (No. 2010/1). OECD Publishing.

  • Mishra, D., Akman, I., & Mishra, A. (2014). Theory of reasoned action application for green information technology acceptance. Computers in Human Behavior,36, 29–40.

    Google Scholar 

  • Mohan, K., Ramesh, B., Cao, L., & Sarkar, S. (2012). Managing disruptive and sustaining innovations in Green IT. IT Professional,14(6), 22–29.

    Google Scholar 

  • Molla, A. (2009). Organizational motivations for Green IT: Exploring Green IT matrix and motivation models. In PACIS (p. 13).

  • Molla, A., & Abareshi, A. (2011). Green IT adoption: A motivational perspective. In PACIS (p. 137).

  • Molla, A., & Abareshi, A. (2012). Organizational green motivations for information technology: Empirical study. Journal of Computer Information Systems,52(3), 92–102.

    Google Scholar 

  • Molla, A., Abareshi, A., & Cooper, V. (2014). Green IT beliefs and pro-environmental IT practices among IT professionals. Information Technology and People,27(2), 129–154.

    Google Scholar 

  • Molla, A., Pittayachawan, S., Corbitt, B., & Deng, H. (2009). An international comparison of Green IT diffusion. International Journal of e-Business Management,3(2), 3.

    Google Scholar 

  • Murugesan, S. (2008). Harnessing Green IT: Principles and practices. IT Professional,10(1), 24–33.

    Google Scholar 

  • Murugesan, S. (2010). Making IT green. IT Professional,12(2), 4–5.

    Google Scholar 

  • Nedbal, D., Wetzlinger, W., Auinger, A., & Wagner, G. (2011). Sustainable IS initialization through outsourcing: A theory-based approach. In AMCIS (p. 255).

  • Ngo, A. T., West, G. E., & Calkins, P. H. (2009). Determinants of environmentally responsible behaviours for greenhouse gas reduction. International Journal of Consumer Studies,33(2), 151–161.

    Google Scholar 

  • Nikkheslat, M., Zohoori, M., Bekheirnia, N., & Mehrafshar, M. (2012). The important theories in term of applying green technologies and green processes in organizations: A study of Malaysian Universities. Interdisciplinary Journal of Contemporary Research in Business,4(7), 88–89.

    Google Scholar 

  • Ninlawan, C., Seksan, P., Tossapol, K., & Pilada, W. (2010). The implementation of green supply chain management practices in electronics industry. In Proceedings of the international multiconference of engineers and computer scientists (pp. 17–19).

  • Opitz, N., Krüp, H., & Kolbe, L. M. (2014). How to govern your Green IT?—Validating a contingency theory based governance model. In PACIS (p. 333).

  • Pernici, B., Aiello, M., vom Brocke, J., Donnellan, B., Gelenbe, E., & Kretsis, M. (2012). What IS can do for environmental sustainability: A report from CAiSE’11 panel on Green and sustainable IS. CAIS,30(18), 275–292.

    Google Scholar 

  • Pichetpongsa, N., & Campeanu, G. (2011). Analysis of Green Information Technology in Dell and Toshiba companies. Västerås: IDT, Malardalen University.

    Google Scholar 

  • Pitt, L. F., Parent, M., Junglas, I., Chan, A., & Spyropoulou, S. (2011). Integrating the smartphone into a sound environmental information systems strategy: Principles, practices and a research agenda. The Journal of Strategic Information Systems,20(1), 27–37.

    Google Scholar 

  • Radu, L. D. (2016). Determinants of Green ICT adoption in organizations: A theoretical perspective. Sustainability,8(8), 731.

    Google Scholar 

  • Raza, K., Patle, V. K., & Arya, S. (2012). A review on green computing for eco-friendly and sustainable it. Journal of Computational Intelligence and Electronic Systems,1(1), 3–16.

    Google Scholar 

  • Recker, J. (2016). Toward a design theory for green information systems. In 49th Hawaii international conference on system sciences (pp. 4474–4483).

  • Rowlands, I. H., Scott, D., & Parker, P. (2003). Consumers and green electricity: Profiling potential purchasers. Business Strategy and the Environment,12(1), 36–48.

    Google Scholar 

  • Ryoo, S. Y., & Koo, C. (2013). Green practices-IS alignment and environmental performance: The mediating effects of coordination. Information Systems Frontiers,15(5), 799–814.

    Google Scholar 

  • Sabharwal, M., Agrawal, A., & Metri, G. (2013). Enabling Green IT through energy-aware software. IT Professional,15(1), 19–27.

    Google Scholar 

  • Sacchero, S. D., & Molla, A. (2009). Environmental considerations in ICT infrastructure decision making. In ACIS Proceedings (pp. 1066–1075).

  • Saha, B. (2014). Green computing. International Journal of Computer Trends and Technology,14(2), 46–50.

    Google Scholar 

  • Schmidt, N. H., Erek, K., Kolbe, L. M., & Zarnekow, R. (2010). Predictors of Green IT adoption: Implications from an empirical investigation. In AMCIS (p. 367).

  • Schmidt, N. H., & Kolbe, L. M. (2011). Towards a contingency model for Green IT governance. In ECIS (p. 105).

  • Schultz, P. W., Oskamp, S., & Mainieri, T. (1995). Who recycles and when? A review of personal and situational factors. Journal of Environmental Psychology,15(2), 105–121.

    Google Scholar 

  • Seidel, S. (2013). Interview with Daniel Schmid on “sustainability and the role of IT”. Business and Information Systems Engineering,5(5), 327–329.

    Google Scholar 

  • Seidel, S., Chandra Kruse, L., Székely, N., Gau, M., & Stieger, D. (2017). Design principles for sensemaking support systems in environmental sustainability transformations. European Journal of Information Systems. https://doi.org/10.1057/s41303-017-0039-0.

    Article  Google Scholar 

  • Simmonds, D., & Bhattacherjee, A. (2014). Green IT adoption and sustainable value creation. In Twentieth Americas conference on information systems, Savannah (pp. 1–16).

  • Standing, C., & Jackson, P. (2007). An approach to sustainability for information systems. Journal of Systems and Information Technology,9(2), 167–176.

    Google Scholar 

  • Tilikidou, I. (2007). The effects of knowledge and attitudes upon Greeks’ pro-environmental purchasing behaviour. Corporate Social Responsibility and Environmental Management,14(3), 121–134.

    Google Scholar 

  • To, W. M., Chung, A. W., & Lai, L. S. (2013). Creating green awareness using IT: The case of Hong Kong. IT Professional,15(1), 44–49.

    Google Scholar 

  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly,27, 425–478.

    Google Scholar 

  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly,36, 157–178.

    Google Scholar 

  • Vincent, S., & Mulkey, S. (2015). Transforming US higher education to support sustainability science for a resilient future: The influence of institutional administrative organization. Environment, Development and Sustainability,17(2), 341–363.

    Google Scholar 

  • Vykoukal, J., Beck, R., & Wolf, M. (2011). Impact of pressure for environmental sustainability on grid assimilation—empirical results from the financial services industry. Australasian Journal of Information Systems,17(1), 5–28.

    Google Scholar 

  • Wati, Y., & Koo, C. (2012). Toward green IS adoption behaviors: A self-determination perspective. In 45th Hawaii international conference on in system science (pp. 1207–1216).

  • Watson, R. T., Boudreau, M. C., & Chen, A. J. (2010). Information systems and environmentally sustainable development: Energy informatics and new directions for the IS community. MIS Quarterly,34, 23–38.

    Google Scholar 

  • Watson, R. T., Boudreau, M. C., Chen, A. J., & Sepúlveda, H. H. (2011). Green projects: An information drives analysis of four cases. The Journal of Strategic Information Systems,20(1), 55–62.

    Google Scholar 

  • Whitmarsh, L. (2008). Are flood victims more concerned about climate change than other people? The role of direct experience in risk perception and behavioural response. Journal of Risk Research,11(3), 351–374.

    Google Scholar 

  • Widjaja, N. D., Mariani, M., & Imam, K. (2011). IT professionals awareness: Green IT international comparison study. Communications of the IBIMA,10(5171/2011), 534852.

    Google Scholar 

  • Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): A literature review. Journal of Enterprise Information Management,28(3), 443–488.

    Google Scholar 

  • Zaman, B., & Sedera, D. (2016). Green information technology as administrative innovation—Organizational factors for successful implementation: Literature review. In AACIS (p. 193).

  • Zhang, H., Liu, L., & Li, T. (2011). Designing IT systems according to environmental settings: A strategic analysis framework. The Journal of Strategic Information Systems,20(1), 80–95.

    Google Scholar 

  • Zheng, D. (2014). The adoption of green information technology and information systems: An evidence from corporate social responsibility. In PACIS (p. 237).

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Acknowledgements

Funding was provided by Universiti Malaysia Pahang (Grant No. RDU1603118).

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  1. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia

    Bokolo Anthony Jr., Mazlina Abdul Majid & Awanis Romli

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Appendix

Appendix

See Tables 8, 9, 10, 11 and 12.

Table 8 One-way ANOVA for non-bias
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Table 9 One-way ANOVA for age distribution of participants
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Table 10 Multi-group analysis path coefficients (bootstrapping test for enterprise sector)
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Table 11 Multi-group analysis path coefficients (bootstrapping test for enterprise size)
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Table 12 Multi-group analysis path coefficients (bootstrapping test for enterprise revenue)
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Anthony, B., Majid, M.A. & Romli, A. Green IS diffusion in organizations: a model and empirical results from Malaysia. Environ Dev Sustain 22, 383–424 (2020). https://doi.org/10.1007/s10668-018-0207-y

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