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Green Information Technology Practices among IT Professionals: Theory of Planned Behavior Perspective

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Warianty tytułu
PL
Praktyki zielonych technologii informatycznych wśród profesjonalistów z zakresu IT – perspektywa teorii planowanego zachowania
Języki publikacji
EN PL
Abstrakty
EN
According to the existing literature, the determinants of environmental attitudes and behavior are important. In this paper impact of information technology adoption environment has been investigated. Some of the studies have successfully utilized Theory of Planned Behavior (TPB) for adoption behavior. This study proposed TPB to explain IT professionals’ intentions for Green Information Technology (GIT) practices. For this purpose, a survey was conducted among IT professionals from public and private sector organizations. Core factors of TPB were included in the analysis. Overall, results revealed that the TPB model explains behavioral intent, and all four core constructs were significant predictors of the intent. Limitations of the study, and implications for theory are also discussed.
PL
Według wskazań literaturowych, determinanty ekologicznych postaw i zachowań odgrywają istotną rolę w ich kształtowaniu i warto badać wpływ, jaki wywierać może na nie stosowanie technologii informatycznych. W tej pracy wykorzystano teorię planowanego zachowania (Theory of Planned Behavior – TPB), aby wyjaśnić podejście profesjonalistów z zakresu IT do praktyk związanych ze stosowaniem zielonych technologii informatycznych (Green Information Technologies – GIT). Badania wśród pracowników IT przeprowadzono w firmach reprezentujących dwa sektory: państwowym i prywatnym. Otrzymane wyniki pokazały, że model TPB, uwzględniający cztery filary, wyjaśnia determinanty odnoszące się do zachowania. W artykule omówiono także napotkane ograniczenia, a także implikacje dla teorii TPB, które z przeprowadzonych badań wynikają.
Czasopismo
Rocznik
Strony
47--54
Opis fizyczny
Bibliogr. 43 poz., fig., tab.
Twórcy
autor
  • Atilim University, Incek, 06836, Ankara Turkey
autor
  • Atilim University, Incek, 06836, Ankara Turkey
Bibliografia
  • 1. ABOELMAGED M. G., GEBBA T. R., 2013, Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior, in: International Journal of Business Research and Development 2(1), p. 35‐50.
  • 2. AGILAR-LUZON M. del C., a-MARTINEZ J. M. Á. G. CALVO-SALGUERO A. and SALINAS J. M., 2012, Comparative Study Between the Theory of Planned Behavior and the Value–Belief–Norm Model Regarding the Environment, on Spanish Housewives’ Recycling Behavior, in: Journal of Applied Social Psychology 42 (11), p. 2797-2833.
  • 3. AJZEN I., 1991, The theory of planned behavior, in: Organizational Behavior and Human Decision Processes 50 (2), p. 179-211.
  • 4. AJZEN I., 2002, Residual effects of past behavior, habituation and reasoned action perspectives, in: Personality and Social Psychology Review 6, p. 107-122.
  • 5. BAMBERG S., 2013, Changing environmentally harmful behaviors: A stage model of self-regulated behavioral change, in: Journal of Environmental Psychology 34, p. 151-159.
  • 6. BAMBERG S., & SSCMIDT S., 2003, Incentives, morality or habit? Predicting students’ car use for university routes with the models of Ajzen, Schwartz and Triandis, in: Environment and Behavior 35, p. 264-285.
  • 7. BERHON P., DONNELLAN B., 2011, The Greening of IT: Paradox or promise?, in: The Journal of Strategic Information Systems 20:1, p. 3-5.
  • 8. BOSE R, LUO X., 2011, Integrative framework for assessing firms’ potential to undertake Green IT initiatives via virtualization – A theoretical perspective, in: J. Strateg. Inform. Syst. 20(1), p. 38-54.
  • 9. BROWN J. D., 2002, The Cronbach alpha reliability estimate, in: Shiken: JALT Testing & Evaluation SIG Newsletter 6(1), p. 17-19.
  • 10. CAPRA E., FRANCALANCI C., SLAUGHTER S.A., 2012, Is software green? Application development environments and energy efficiency in open source applications, in: Inf. Softw. Technol. 54(1), p. 60-71.
  • 11. CHAU P.Y.K., PAUL J. H., 2002, Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study, in: Journal of Management Information Systems 18, p. 191-229.
  • 12. CHEN Y., 2010, The drivers of green brand equity: Green brand image, green satisfaction, and green trust, in: Journal of Business Ethics 93, p. 307-319.
  • 13. DAO V., LANGELLA I., CARBO J., (2011, From green to sustainability: Information Technology and an integrated sustainability framework, in: J. Strateg. Inf. Syst. 20, 1 (March 2011), p. 63-79.
  • 14. DE GROOT J., STEG L., 2008, Value orientations to explain beliefs related to environmental significant behavior: how to measure egoistic, altruistic, and biospheric value orientations, in: Environment and Behavior 40, p. 330-354.
  • 15. DUNLAP R. E., VAN LIERE K. D., MERTIG A. G., JONES R.E., 2000, Measuring endorsement of the new ecological paradigm: a revised NEP scale, in: Journal of Social Issues 56(3), p. 425-442.
  • 16. EREK K., SCHMIDT N.-H., ZARNEKOW R., KOLBE L.M., 2009, Sustainability in information systems: assortment of current practices in IS organizations, in: Proceedings of the Americas Conference on Information Systems (AMCIS). San Francisco, August 2009 (paper 123).
  • 17. FILEDING K.S., McDONALD R. LOUIS W. R., 2008, Theory of planned behavior, identity and intentions to engage in environmental activism, in: Journal of Environmental Psychology 28, 2008, p. 318-326.
  • 18. Gartner Inc., 2008, Green IT: The new industry shockwave. Presentation at symposium/ITXPO conference, http://www.gartner.com/newsroom/id/503867 (1.01.2014).
  • 19. GREAVES M., ZIBARRAS L. D. STRIDE C., 2013, Using the theory of planned behavior to explore environmental behavioral intentions in the workplace, in: Journal of Environmental Psychology 34, p. 109-120.
  • 20. HAN H., HSU L-T., SHEU C., 2010, Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities, in: Tourism Management, 31 (3), p. 325-334.
  • 21. HARPER P., Australia’s Environment: Issues and Trends 2006, Australian Bureau of Statistics, Cat. No. 4613.0, http://www.ausstats. abs.gov.au (1.06.2008).
  • 22. HART S., MILSTEIN M.B., 2003, Creating sustainable value, in: Academy of Management Executive 17, p. 56-67.
  • 23. HILTY L. M., ARNFLAK P., ERDMANN L., GOODMAN J., LEHMANN M., WAGER P. A., 2006, The relevance of information and communication technologies for environmental sustainability. A prospective simulation study, in: Environmental Modelling & Software 21, p. 1618-1629.
  • 24. JIN K.G., DROZDENKO R., BASKETT R., 2007, Information technology professionals’ perceived organizational values and managerial ethics: an empirical study, in: Journal of Business Ethics 71(2), March, p. 149-159.
  • 25. JENKIN T.A., McSHANE L., WEBSTER J., 2011a, Green Information Technologies and Systems: Employees’ Perceptions of Organi-zational Practices, in: Business & Society, 50(2), p. 266-314.
  • 26. JENKIN T.A., WEBSTER J., McSHANE L., 2011b, An agenda for Green information technology and systems research, in: Information and Organization, 21(1), p. 17-40.
  • 27. MALMODIN J., MOBERG Å., LUNDéN, D., FINNVEDEN G., and LöVEHAGEN N., 2010, Greenhouse Gas Emissions and Operational Electricity Use in the ICT and Entertainment & Media Sectors, in: Journal of Industrial Ecology (4:5), p. 770-790.
  • 28. MELVILLE N.P., 2010, Information systems innovation for environmental sustainability, in: MIS Quarterly, 31(1), p. 1-21.
  • 29. MILTON J.S., ARNOLD L.C., Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences, McGraw Hill, Boston 2003.
  • 30. MISHRA A., AKMAN I., 2010, Information Technology in Human Resource Management: An Empirical Assessment, in: Public Personnel Management, 39(3), p. 243-262.
  • 31. MYKYTYN P.P., HARRISON D.A., 1993, The Application of Theory of Reasoned Action to Senior Management and Strategic Information Systems, in: Information Resources Management Journal, Vol. 6(2), p. 15-26.
  • 32. NCHISE A., 2012, An Empirical Analysis of the Theory of Planned Behavior, A Review of Its Application on E-democracy Adoption Using the Partial Least Squares Algorithm, in: JeDEM 4(2), p. 171-182.
  • 33. NIAURA A., 2013, Using the Theory of Planned Behavior to Investigate the Determinants of Environmental Behavior among Youth, in: Environmental Research, Engineering and Management, no. 1(63), p. 74-81.
  • 34. NORDLUND A.M., GARVILL J., 2003, Effects of values, problem awareness, and personal norm on willingness to reduce personal car use, in: Journal of Environmental Psychology 23, p. 339-347.
  • 35. NORDLUND A. M., GARVILL, J., 2002, Value structures behind pro-environmental behavior, in: Environment and Behavior 34, p. 740-756.
  • 36. PARK S.Y., 2007, An Analysis of the Technology Acceptance Model in Understanding University Students’ Behavioral Intention to Use e-Learning, in: Educational Technology & Society, 12 (3), p. 150-162.
  • 37. PAVLOU P. A., CHAI L., 2002, What Drives Electronic Commerce Across Cultures? A Cross-Cultural Empirical Investigation of the Theory of Planned Behavior, in: Journal of Electronic Commerce Research 3(4), p. 240-253.
  • 38. PORTER M., KRAMER M., 2006, Strategy and society: the link between competitive advantage and corporate social responsibility, in: Harvard Business Review 84 (12), p. 78-92.
  • 39. SIEGLER K., GAUGHAN B., 2008,. A practical approach to Green IT, Webinar, http://www. itmanagement.com/land/green-it-webinar/?tfso =2058 (14.07.2008)
  • 40. STEG L., DREIJERNIK L., ABRAHAMSE W., 2005, Factors influencing the acceptability of energy policies: testing VBN theory, in: Journal of Environmental Psychology 25, p. 415-425.
  • 41. STEG L., VLEK C., 2009, Encouraging pro-environmental behavior: An integrative review and research agenda, in: Journal of Environmental Psychology 29, p. 309-317.
  • 42. WEBB M., 2008, SMART 2020: Enabling the Low Carbon Economy in the Information Age, http://www.theclimategroup.org (1.01.2014).
  • 43. YU A., 2007,. Assess students: Item analysis. Instructional Assessment Resources, IAR, http: //www.utexas.edu/academic/ctl/assessment/jar/students/report/itemanalysis.php (10.04.2011).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-44e6ccec-80db-4e5a-a5cf-f5ea50a9f027
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