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Human Factors Issues in Responsible Computer Consumption

  • Paul H. P. Yeow
  • Wee Hong Loo
  • Uchenna Cyril Eze
Chapter

Abstract

Energy is wasted when individuals do not practise responsible computer consumption behaviour (RCCB) such as turning off idling computers or using power-management tools. This study aims to determine the key human factors and ergonomics (HFE) issues influencing RCCB so as to provide recommendations to change users’ behaviour. A model was developed based on the Theory of Planned Behaviour and HFE literature. A questionnaire was designed, tested and finalised, and samples were collected and analysed. The findings reveal significant HFE factors such as self-efficacy, positive attitudes, collectivist and personal benefits, self-identity and habit. Recommendations include a steeper stepwise electricity tariff; government social messages such as saving money, prolonging computer life, making a difference and attaining collective benefits; and education in calculating the monetary savings from energy saved.

Keywords

Theory of Planned Behaviour Responsible computer consumption Self-efficacy Attitudes Perceived behavioural control Environmental knowledge 

Notes

Acknowledgement

The authors thank the Ministry of Higher Education, Malaysia, for funding this research under the Fundamental Research Grant Scheme (FRGS)

(Ref: FRGS/1/2012/SS05/MUSM/02/2). The authors also thank the respondents who participated in this research.

References

  1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.CrossRefGoogle Scholar
  2. Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflections. Psychology & Health, 26, 1113–1127.CrossRefGoogle Scholar
  3. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  4. Andrae, A. S. G., & Andersen, O. (2010). Life cycle assessments of consumer electronics – Are they consistent. International Journal of Life Cycle Assessment, 15, 827–836.CrossRefGoogle Scholar
  5. Antil, J. H. (1984). Socially responsible consumers: Profile and implication for public policy. Journal of Macromarketing, 4(Fall), 18–30.CrossRefGoogle Scholar
  6. Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behavior: A meta-analytic review. British Journal of Social Psychology, 40, 471–499.CrossRefGoogle Scholar
  7. Asia Pacific. (n.d.). Internet world stats – Usage and population statistics. Retrieved from: http://www.internetworldstats.com/stats3.htm
  8. Baker, J. P., & Ozaki, R. (2008). Pro-environmental products: Marketing influence on consumer purchase decision. Journal Consumer Market, 25, 281–293.CrossRefGoogle Scholar
  9. Barnatt, C. (n.d.). Green computing. http://www.explainingcomputers.com/green.html. Accessed 5 Sept 2014.
  10. Bissell, S. J., Duda, M. D., & Young, K. C. (1998). Recent studies on hunting and fishing participation in the United States. Human Dimensions of Wildlife, 3, 75–80.CrossRefGoogle Scholar
  11. Burkotler, D., Weyers, B., Kluge, A., & Luther, W. (2014). Customization of user interfaces to reduce errors and enhance user acceptance. Applied Ergonomics, 45, 346–353.CrossRefGoogle Scholar
  12. Chen, N. H., & Huang, S. C. T. (2016). Domestic technology adoption: Comparison of innovation adoption models and moderators. Human Factors and Ergonomics in Manufacturing & Service Industries, 26, 177–190.CrossRefGoogle Scholar
  13. Conner, M., & Armitage, C. J. (1998). Extending the theory of planned behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28, 1429–1464.CrossRefGoogle Scholar
  14. Costanza, R., & Patten, B. C. (1995). Defining and predicting sustainability. Ecological Economics, 15, 193–196.CrossRefGoogle Scholar
  15. Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation, 10(7), 1–9.Google Scholar
  16. Cox, P. M., Betts, R. A., Jones, C. D., Spall, S. A., & Totterdell, I. J. (2000). Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model. Nature, 408, 184–187.CrossRefGoogle Scholar
  17. Dahlstrand, U., & Biel, A. (1997). Pro-environmental habits: Propensity levels in behavioral change. Journal of Applied Social Psychology, 27, 588–601.CrossRefGoogle Scholar
  18. Davies, J., Foxall, G. R., & Pallister, J. (2002). Beyond the intention–behavior mythology: An integrated model of recycling. Market Theory, 2, 29–113.CrossRefGoogle Scholar
  19. Department of Statistics Malaysia. (2015). ICT use and access by individuals and households survey report, Malaysia. https://www.statistics.gov.my/index.php?r=column/cthemeByCat&cat=395&bul_id=Q3l3WXJFbG1PNjRwcHZQTVlSR1UrQT09&menu_id=amVoWU54UTl0a21NWmdhMjFMMWcyZz09
  20. Dillon, A. (2001). User acceptance of information technology. In W. Karwowski (Ed.), Encyclopedia of human factors and ergonomics. London: Taylor and Francis.Google Scholar
  21. Durugbo, C. (2013). Improving information recognition and performance of recycling chimneys. Ergonomics, 56, 409–421.CrossRefGoogle Scholar
  22. Egmond, C., & Bruel, R. (2007). Nothing is as practical as a good theory, analysis of theories and a tool for developing interventions to influence energy-related behavior. SenterNovem, 16 pp. http://www.cres.gr/behave/pdf/paper_final_draft_CE1309.pdf. Accessed 13 July 2015.
  23. Elkington, J. (1997). Cannibals with forks: The triple bottom line of 21st century business. Oxford: Capstone Publishing.Google Scholar
  24. eMarketer. (2012). China’s key internet stats rival the US and Japan. http://www.emarketer.com/Article.aspx?R=1008899&ecid=a6506033675d47f881651943c21c5ed4
  25. Eriksson, L., Garvill, J., & Nordlund, A. M. (2008). Interrupting habitual car use: The importance of car habit strength and moral motivation for personal car use education. Transportation Research Part F: Traffic Psychology and Behaviour, 11, 10–23.CrossRefGoogle Scholar
  26. Field, A. P. (2009). Discovering statistics using SPSS: And sex and drugs and rock ‘n’ roll. London: Sage.Google Scholar
  27. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.Google Scholar
  28. Flemming, S. A. C., Hilliard, A., & Jamieson, G. A. (2008). The need for human factors in the sustainability domain. Proceedings of the Human Factors and Ergonomics Society 52nd Annual Meeting, 748–752.Google Scholar
  29. Follows, S. B., & Jobber, D. (2000). Environmentally responsible purchase behavior: A test of a consumer. European Journal of Marketing, 34(5/6), 723–746.CrossRefGoogle Scholar
  30. Gupta, S., & Ogden, D. T. (2009). To buy or not to buy? A social dilemma perspective on green buying. Journal of Consumer Marketing, 26(6), 376–391.CrossRefGoogle Scholar
  31. Hagger, M. S., Anderson, M., Kyriakaki, M., & Darkings, S. (2007). Aspects of identity and their influence on intentional behavior: Comparing effects for three health behaviors. Personality and Individual Differences, 42, 355–367.CrossRefGoogle Scholar
  32. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19, 139–151.CrossRefGoogle Scholar
  33. Hansla, A. (2011). Value orientation, awareness of consequences, and environmental concern. University of Gothenburg, Sweden, 2011, 1–30.Google Scholar
  34. Hanson, M. A. (2013). Green ergonomics: Challenges and opportunities. Ergonomics, 56, 399–408.CrossRefGoogle Scholar
  35. Harun, R., Lim, K. H., & Othman, F. (2011). Environmental knowledge and attitude among students in Sabah. World Applied Sciences Journal, 14, 83–87.Google Scholar
  36. Harvey, J., Thorpe, N., & Fairchild, R. (2013). Attitudes towards and perceptions of eco driving and the role of feedback systems. Ergonomics, 56, 507–521.CrossRefGoogle Scholar
  37. Haslam, R., & Waterson, P. (2013). Editorial: Ergonomics and sustainability. Ergonomics, 56, 343–347.CrossRefGoogle Scholar
  38. Haslam, R. A. (2002). Targeting ergonomics interventions-learning from health promotion. Applied Ergonomics, 33, 241–249.CrossRefGoogle Scholar
  39. Henion, K. E. (1976). Ecological marketing. Columbus, OH: Grid.Google Scholar
  40. Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. Thousand Oaks, CA: SAGE.Google Scholar
  41. Holden, R. J. (2012). Social and personal normative influences on healthcare professionals to use information technology: Towards a more robust social ergonomics. Theoretical Issues in Ergonomics Science, 13, 546–569.CrossRefGoogle Scholar
  42. Hopkinson, L., & James, P. (2011). Lifecycle energy and environmental impacts of computing equipment: A June 2011 update to a 2009 SusteIT Report. http://www.goodcampus.org/files/files/57LCA_of_computing_equipment_v7_final_June_2011.pdf
  43. Index Mundi. (2014). Malaysia age structure – Population pyramid. http://www.indexmundi.com/malaysia/age_structure.html. Accessed 8 July 2015.
  44. International Ergonomics Association. (2015). Definitions and domain ergonomics. http://www.iea.cc/whats/
  45. Jackson, T. L. S., & Johnson, A. E. (2002). Cultural ergonomics in Ghana, West Africa: A descriptive survey of industry and trade workers’ interpretations of safety symbols. International Journal of Occupational Safety and Ergonomics, 8, 37–50.CrossRefGoogle Scholar
  46. Kaufmann, H. R., Panni, M. F., & Orphanidou, Y. (2012). Factors affecting consumers’ green purchasing behavior: An integrated conceptual framework. Amfiteatru Economic, 14, 50–69.Google Scholar
  47. Kim, S. S., Malhotra, N. K., & Narasimhan, S. (2005). Two competing perspectives on automatic use: A theoretical and empirical comparison. Information Systems Research, 16, 418–432.CrossRefGoogle Scholar
  48. Kim, Y., & Choi, S. R. (2005). Antecedents of green purchase behavior: An examination of collectivism, environmental concern and PCE. Advances in Consumer Research, 32, 592–599.Google Scholar
  49. Klockner, C. A. (2013). A comprehensive model of the psychology of environmental behaviour—A meta-analysis. Global Environmental Change, 23, 1028–1038.CrossRefGoogle Scholar
  50. Kobus, C. B., Mugge, R., & Schoormans, J. P. (2013). Washing when the sun is shining! How users interact with a household energy management system. Ergonomics, 56, 451–462.CrossRefGoogle Scholar
  51. Kothaneth, S. (2010). A pilot study on the cross-cultural acceptance of technology. Human Factors and Ergonomics Society Annual Meeting Proceedings 09/2010 54, 1951–1955.Google Scholar
  52. Kowalewski, S., Borg, A., Kluge, J., Himmel, S., Trevisan, B., Erabme, D., Ziefle, M., & Jakobs, M. (2014, July 19–23). Modeling the influence of human factors on the perception of renewable energies. Taking geothermics as example. Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics AHFE 2014, Krakow, Poland, 1884–1891.Google Scholar
  53. Lee, K. (2008). Opportunities for green marketing: Young consumers. Marketing Intelligence & Planning, 26, 573–586.CrossRefGoogle Scholar
  54. Lee, K. (2011). The green purchase behavior of Hong Kong young consumers: The role of peer influence, local environmental involvement, and concrete environmental knowledge. Journal of International Consumer Marketing, 23, 21–44.CrossRefGoogle Scholar
  55. Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intentions: The case of IS continuance. MIS Quarterly, 31, 705–737.CrossRefGoogle Scholar
  56. Lockton, D., Harrison, D., & Stanton, N. A. (2010). The design with intent method: A design tool for influencing user behavior. Applied Ergonomics, 41, 382392.CrossRefGoogle Scholar
  57. Martin, K., Legg, S., & Brown, C. (2013). Designing for sustainability: Ergonomics – Carpe diem. Ergonomics, 56, 365–388.CrossRefGoogle Scholar
  58. Massachusetts Department of Environmental Protection. (2002). Barrier/motivation inventory. http://www.state.ma.us. Accessed 10 Aug 2013.
  59. McDonagh, D., Bruseberg, A., & Haslam, C. (2002). Visual product evaluation: Exploring users’ emotional relationships with products. Applied Ergonomics, 33, 231–240.CrossRefGoogle Scholar
  60. Mida, S. (2009). Factors contributing in the formation of consumer’s environmental consciousness and shaping green purchasing decision. Symposium on Computers & Industrial Engineering, Moncton, 957–962.Google Scholar
  61. Moller, B., & Thogersen, J. (2008). Car-use habits: An obstacle to the use of public transportation? In C. Jensen-Butler, B. Madsen, O. A. Nielsen, & B. Sloth (Eds.), Road pricing, the economy, and the environment. Amsterdam: Elsevier.Google Scholar
  62. Moray, N. (1994, August). Ergonomics and the global problems of the 21st century. Keynote Address Presented at the 12th Triennial Congress of the International Ergonomics Association, Toronto.Google Scholar
  63. Moray, N. (1995). Ergonomics and the global problems of the twenty first century. Ergonomics, 38, 1691–1707.CrossRefGoogle Scholar
  64. Munasinghe, M. (2012). Millennium consumption goals (MCGs) for Rio+20 and beyond: A practical step towards global sustainability. Natural Resources Forum: A United Nations Sustainable Development Journal, 36, 202–212.CrossRefGoogle Scholar
  65. Murugesan, S. (2008). Harnessing green IT: Principles and practices. IT Professional Journal, 10, 24–33.CrossRefGoogle Scholar
  66. National Energy Foundation, (2007). Assessment of potential for energy savings from PC software management. http://www.1e.com/energycampaign/downloads/1ENEFReport.pdf. Accessed 10 Aug 2013.
  67. Ng, Y. C. (2011). Comscore Malaysia segmentation: Which areas have the most internet users? http://www.ibizclicks.com/blog/comscore-malaysia-segmentation/. Accessed 10 Aug 2013.
  68. Nordlund, A. M., & Garvill, J. (2002). Value structure behind pro-environmental behavior. Environment and Behavior, 34, 740–756.CrossRefGoogle Scholar
  69. Ottman, J. A. (2000). It’s not just the environment, stupid. http://www.greenmarketing.com/articles/IB_Sept00.html. Accessed 2 Aug 2013.
  70. Ouellette, J. A., & Wood, W. (1998). Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psychological Bulletin, 124, 54–74.CrossRefGoogle Scholar
  71. Oyserman, D., Elmore, K., & Smith, G. (2012). Self, self-concept, and identity. In M. Leary & J. P. Tangney (Eds.), Handbook of self and identity (2nd ed., pp. 69–104). New York: The Guilford Press.Google Scholar
  72. PC Energy Report. (2009). The power to save money. http://www.1e.com/EnergyCampaign/downloads/PC_EnergyReport2009-US.pdf. Accessed 29 July 2015.
  73. Poortinga, W., Steg, L., & Vlek, C. (2004). Values, environmental concern, and environmental behavior: A study into household energy use. Environment and Behavior, 36, 70–93.CrossRefGoogle Scholar
  74. Prothero, A., Dobscha, S., Freund, J., Kilbourne, W. E., Luchs, M. G., Ozanne, L. K., et al. (2011). Sustainable consumption: Opportunities for consumer research and public policy. Journal of Public Policy & Marketing, 30, 31–38.CrossRefGoogle Scholar
  75. Radjiyev, A., Qiu, H., Xiong, S., & Nam, K. H. (2015). Ergonomics and sustainable development in the past two decades (1992–2011): Research trends and how ergonomics can contribute to sustainable development. Applied Ergonomics, 46A, 67–75.CrossRefGoogle Scholar
  76. Rice, G., Wongtada, N., & Leelakulthanit, O. (1996). An investigation of self-efficacy and environmentally concerned behavior of Thai consumers. Journal of International Consumer Marketing, 9, 1–19.CrossRefGoogle Scholar
  77. Ries, F., Hein, V., Pihu, M., & Armenta, J. M. S. (2012). Self-identity as a component of the theory of planned behaviour predicting physical activity. European Physical Education Review, 18(3), 322–334. http://kodu.ut.ee/~vello/Ries.Hein.EPER2012TPB.pdf
  78. Rise, J., Sheeran, P., & Hukkelberg, S. (2010). The role of self-identity in the Theory of Planned Behavior: A meta-analysis. Journal of Applied Social Psychology, 40, 1085–1105.CrossRefGoogle Scholar
  79. Rivera, M. E. K., Ganey, H. C. N., Dalton, J., & Hancock, P. A. (2004). Worldview and acculturation as predictors of performance: Addressing these variables in human factors/ergonomics research. Proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting, 1223–1227.Google Scholar
  80. Robertson, M., Amick, B. C., III, DeRango, K., Rooney, T., Bazzani, L., Harrist, R., et al. (2009). The effects of an office ergonomics training and chair intervention on worker knowledge, behavior and musculoskeletal risk. Applied Ergonomics, 40, 124–135.CrossRefGoogle Scholar
  81. Sauer, J., Wiese, B. S., & Ruttinger, B. (2002). Improving ecological performance of electrical consumer products: The role of design-based measures and user variables. Applied Ergonomics, 33, 297–307.CrossRefGoogle Scholar
  82. Schahn, J., & Holzer, E. (1990). Studies of individual environmental concern. The role of knowledge, gender, and background variables. Environment and Behavior, 22, 767–786.CrossRefGoogle Scholar
  83. Schultz, P. W., & Zelezny, L. C. (1998). Values and pro-environmental behavior: A five country survey. Journal of Cross-Cultural Psychology, 29, 540–558.CrossRefGoogle Scholar
  84. Skarżyńska, K. (2002). Work as a cultural and personal value: Attitudes towards work in Polish society. International Journal of Occupational Safety and Ergonomics, 8, 195–208.CrossRefGoogle Scholar
  85. Steg, L., & Vlek, C. (2009). Encouraging pro-environmental behavior: An integrative review and research agenda. Journal of Environmental Psychology, 29, 309–317.CrossRefGoogle Scholar
  86. Stern, P. C. (2000). Toward a coherent theory of environmentally significant behavior. Journal of Social Issues, 56, 407–424.CrossRefGoogle Scholar
  87. Szalma, J. L. (2014). On the application of motivation theory to human factors/ergonomics: Motivational design principles for human-technology interaction. Human Factors, 56(8), 1453–1471.CrossRefGoogle Scholar
  88. Thang, S. M., & Kumarasamy, P. (2006). Malaysian students’ perceptions of the environment contents in their English language classes. Electronic Journal of Foreign Language Teaching, 3, 190–208.Google Scholar
  89. Thatcher, A. (2012). Affect in designing for sustainability in human factors and ergonomics. International Journal of Human Factors and Ergonomics, 1, 127–147.CrossRefGoogle Scholar
  90. Thatcher, A. (2013). Green ergonomics: Definition and scope. Ergonomics, 56(3), 389–398.CrossRefGoogle Scholar
  91. Thatcher, A., & Yeow, P. H. P. (2016a). Human factors for a sustainable future. Applied Ergonomics, 57, 1–7.CrossRefGoogle Scholar
  92. Thatcher, A., & Yeow, P. H. P. (2016b). A sustainable system of systems approach: A new HFE paradigm. Ergonomics, 59, 167–178.CrossRefGoogle Scholar
  93. The Economist. (2009). Computing climate change. http://www.economist.com/node/14297036. Accessed 10 Sept 2013.
  94. Tonglet, M., Philips, P. S., & Read, A. D. (2004). Using the Theory of Planned Behavior to investigate the determinants of recycling behavior: A case study from Brixworth, UK. Resources, Conservation and Recycling, 41, 191–214.CrossRefGoogle Scholar
  95. Trafimow, D., & Finlay, K. A. (2001). The importance of traits and group memberships. European Journal of Social Psychology, 31, 37–43.CrossRefGoogle Scholar
  96. TrendMicro. (2012). Trend Micro Study shows increasingly usage behaviour across multiple devices in APAC. http://apac.trendmicro.com/apac/about-us/newsroom/releases/articles/20130314012909.html
  97. Urien, B., & Kilbourne, W. (2011). Generativity and self-enhancement values in eco-friendly behavioral intentions and environmentally responsible consumption behavior. Psychology & Marketing, 28, 69–90.CrossRefGoogle Scholar
  98. Valle, P. O. D., Rebelo, E., Reis, E., & Menezes, J. (2005). Combining behavioral theories to predict recycling involvement. Environment and Behavior, 37, 364–396.CrossRefGoogle Scholar
  99. Venkatesh, V., Thong, J. Y. L., & 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
  100. Voorbij, A. I. M., & Steenbekkers, L. P. A. (2002). The twisting force of aged customers when opening a jar. Applied Ergonomics, 33, 105–109.CrossRefGoogle Scholar
  101. Webb, D. J., Mohr, L. A., & Harris, K. E. (2008). A re-examination of socially responsible consumption and its measurement. Journal of Business Research, 61(2), 91–98.CrossRefGoogle Scholar
  102. Webster, F. E. (1975). Determining the characteristics of socially responsible consumer. Journal of Consumer Research, 2, 188–196.CrossRefGoogle Scholar
  103. Wee, S. C., Mohd Soki, B. M. A., Norhayati, Z., Tajudin, M. N. M., Khalid, I., & Ishak, N. (2014). Consumers’ perception, purchase intention and actual purchase behavior of organic food products. Review of Integrative Business & Economics Research, 3, 378–397.Google Scholar
  104. Wilson, J. R. (2014). Fundamentals of systems ergonomics/human factors. Applied Ergonomics, 45, 5–13.CrossRefGoogle Scholar
  105. Yeow, P. H. P., Yuen, Y. Y., & Loo, W. H. (2013). Ergonomics issues in national identity card for homeland security. Applied Ergonomics, 44, 719–729.CrossRefGoogle Scholar
  106. Zeitlin, L. R. (1994). Failure to follow safety instructions: Faulty communication or risky decisions? The Human Factors, 36, 172–181.CrossRefGoogle Scholar
  107. Zink, K. J. (2014). Designing sustainable work systems: The need for a systems approach. Applied Ergonomics, 45, 126–132.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Paul H. P. Yeow
    • 1
  • Wee Hong Loo
    • 1
  • Uchenna Cyril Eze
    • 2
  1. 1.School of BusinessMonash University MalaysiaBandar SunwayMalaysia
  2. 2.Division of Business and Management, United International CollegeBeijing Normal University-Hong Kong Baptist UniversityZhuhaiChina

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