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On Occupant Behavior and Innovation Studies Towards High Performance Buildings: A Transdisciplinary Approach

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  • Cem Keskin

    (Center for Energy, Environment and Economy (CEEE), Özyeğin University, İstanbul 34794, Turkey)

  • M. Pınar Mengüç

    (Center for Energy, Environment and Economy (CEEE), Özyeğin University, İstanbul 34794, Turkey)

Abstract

With ever-increasing population and urbanization, it is crucial to decrease energy density in the built environment without sacrificing occupants’ comfort and well-being. This requires consideration of technological developments along with the human factor in order to achieve environmental and social sustainability. Two major contributors to the development of conceptualizations for human-centric technologies are behavior and innovation (B&I) studies. Behavior studies aims to explain individualistic or society-based dynamics of human behavior whereas the innovation studies focuses on social, economic, organizational, and regulatory dimensions and processes of inventive activity. If these studies are incorporated into the hardcore architecture and engineering disciplines with a transdisciplinary approach, the orchestration of occupant behavior and the innovative technologies would be possible, which in turn significantly enhance the comfort and energy efficiency in built environments. This paper aims to provide an overview of interdisciplinary dialog between B&I studies and underlines the role of their collaboration to leverage transdisciplinary research on human-building interaction for energy efficiency. The approach presented here is structured as a conceptual framework and named the ‘socio-technical core’ (STC). STC is to lead to more organic articulation of energy efficiency innovations with real life and pave the way for higher level of acceptance. In order to have a ‘big-picture’ for the well-accepted conceptualizations and the current status of interdisciplinary dialog, we provide a review of (B&I) theories and models along with network analysis of key concepts. Then we investigate the potential directions of future transdisciplinary efforts by discussing the influences of B&I studies to each other for application to energy efficiency studies. In order to put the analysis in a firm background, we provide a case study for thermostat, which can be considered as a product improved with B&I approaches during last decades. We also discuss the benefits of B&I based transdisciplinary research perspective by referring to few examples in literature and the points emerged in this study.

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  • Cem Keskin & M. Pınar Mengüç, 2018. "On Occupant Behavior and Innovation Studies Towards High Performance Buildings: A Transdisciplinary Approach," Sustainability, MDPI, vol. 10(10), pages 1-33, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3567-:d:173924
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    1. Nair, Gireesh & Gustavsson, Leif & Mahapatra, Krushna, 2010. "Factors influencing energy efficiency investments in existing Swedish residential buildings," Energy Policy, Elsevier, vol. 38(6), pages 2956-2963, June.
    2. Fagerberg, Jan & Verspagen, Bart, 2009. "Innovation studies--The emerging structure of a new scientific field," Research Policy, Elsevier, vol. 38(2), pages 218-233, March.
    3. Park, June Young & Nagy, Zoltan, 2018. "Comprehensive analysis of the relationship between thermal comfort and building control research - A data-driven literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2664-2679.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    6. Rennings, Klaus, 2000. "Redefining innovation -- eco-innovation research and the contribution from ecological economics," Ecological Economics, Elsevier, vol. 32(2), pages 319-332, February.
    7. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    8. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    9. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    10. Keirstead, James, 2006. "Evaluating the applicability of integrated domestic energy consumption frameworks in the UK," Energy Policy, Elsevier, vol. 34(17), pages 3065-3077, November.
    11. Coase, R H, 1993. "Law and Economics at Chicago," Journal of Law and Economics, University of Chicago Press, vol. 36(1), pages 239-254, April.
    12. Martin, Ben R., 2012. "The evolution of science policy and innovation studies," Research Policy, Elsevier, vol. 41(7), pages 1219-1239.
    13. Zierler, Rupert & Wehrmeyer, Walter & Murphy, Richard, 2017. "The energy efficiency behaviour of individuals in large organisations: A case study of a major UK infrastructure operator," Energy Policy, Elsevier, vol. 104(C), pages 38-49.
    14. Park, Eunil & Kwon, Sang Jib, 2017. "What motivations drive sustainable energy-saving behavior?: An examination in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 494-502.
    15. Nicholas Theodorakopoulos & David Bennett & Deycy Janeth Sánchez Preciado, 2014. "Intermediation for technology diffusion and user innovation in a developing rural economy: a social learning perspective," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 26(7-8), pages 645-662, October.
    16. Noailly, Joëlle, 2012. "Improving the energy efficiency of buildings: The impact of environmental policy on technological innovation," Energy Economics, Elsevier, vol. 34(3), pages 795-806.
    17. Sweeney, Jillian C. & Kresling, Johannes & Webb, Dave & Soutar, Geoffrey N. & Mazzarol, Tim, 2013. "Energy saving behaviours: Development of a practice-based model," Energy Policy, Elsevier, vol. 61(C), pages 371-381.
    18. Goldbach, Kristin & Rotaru, Andreea Mihaela & Reichert, Stefan & Stiff, George & Gölz, Sebastian, 2018. "Which digital energy services improve energy efficiency? A multi-criteria investigation with European experts," Energy Policy, Elsevier, vol. 115(C), pages 239-248.
    19. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.
    20. Lai, Xiaodong & Liu, Jixian & Shi, Qian & Georgiev, Georgi & Wu, Guangdong, 2017. "Driving forces for low carbon technology innovation in the building industry: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 299-315.
    21. Kenneth Gillingham & Richard G. Newell & Karen Palmer, 2009. "Energy Efficiency Economics and Policy," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 597-620, September.
    22. Stephenson, Janet & Barton, Barry & Carrington, Gerry & Gnoth, Daniel & Lawson, Rob & Thorsnes, Paul, 2010. "Energy cultures: A framework for understanding energy behaviours," Energy Policy, Elsevier, vol. 38(10), pages 6120-6129, October.
    23. Becker, Gary S, 1993. "Nobel Lecture: The Economic Way of Looking at Behavior," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 385-409, June.
    24. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    25. Kuckshinrichs, Wilhelm & Kronenberg, Tobias & Hansen, Patrick, 2010. "The social return on investment in the energy efficiency of buildings in Germany," Energy Policy, Elsevier, vol. 38(8), pages 4317-4329, August.
    26. Ritsuko Ozaki, 2011. "Adopting sustainable innovation: what makes consumers sign up to green electricity?," Business Strategy and the Environment, Wiley Blackwell, vol. 20(1), pages 1-17, January.
    27. Diaz-Rainey, Ivan & Ashton, John K., 2015. "Investment inefficiency and the adoption of eco-innovations: The case of household energy efficiency technologies," Energy Policy, Elsevier, vol. 82(C), pages 105-117.
    28. Beretti, Antoine & Figuières, Charles & Grolleau, Gilles, 2013. "Behavioral innovations: The missing capital in sustainable development?," Ecological Economics, Elsevier, vol. 89(C), pages 187-195.
    29. Eung-Suk Park & ByungYong Hwang & Kyungwan Ko & Daecheol Kim, 2017. "Consumer Acceptance Analysis of the Home Energy Management System," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    30. Van Raaij, W. Fred & Verhallen, Theo M. M., 1983. "A behavioral model of residential energy use," Journal of Economic Psychology, Elsevier, vol. 3(1), pages 39-63.
    31. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    32. Schleich, Joachim & Gruber, Edelgard, 2008. "Beyond case studies: Barriers to energy efficiency in commerce and the services sector," Energy Economics, Elsevier, vol. 30(2), pages 449-464, March.
    33. Jalas, Mikko & Juntunen, Jouni K., 2015. "Energy intensive lifestyles: Time use, the activity patterns of consumers, and related energy demands in Finland," Ecological Economics, Elsevier, vol. 113(C), pages 51-59.
    34. Venkatachalam, L., 2008. "Behavioral economics for environmental policy," Ecological Economics, Elsevier, vol. 67(4), pages 640-645, November.
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