174
Views
12
CrossRef citations to date
0
Altmetric
Articles

Research on factors influencing an individual’s behavior of energy management: a field study in China

Pages 203-239 | Received 18 Jun 2016, Accepted 19 Apr 2017, Published online: 21 Aug 2017

References

  • Abrahamse, W., & Steg, L. (2009). How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings. Journal of Economic Psychology, 30(5), 711–720. doi: 10.1016/j.joep.2009.05.006
  • Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227–247. doi: 10.2307/249577
  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi: 10.1016/0749-5978(91)90020-T
  • Aydinalp, M., Ugursal, V. I., & Fung, A. S. (2002). Modeling of the appliance, lighting, and space cooling energy consumption in the residential sector using neural networks. Applied Energy, 71(2), 87–11. doi: 10.1016/S0306-2619(01)00049-6
  • Aydinalp, M., Ugursal, V. I., & Fung, A. S. (2004). Modeling of the space and domestic hot-water heating energy-consumption in the residential sector using neural networks. Applied Energy, 79(2), 159–178. doi: 10.1016/j.apenergy.2003.12.006
  • Bentler, P. M., & Chou, C. (1987). Practical issues in structural modeling. Sociological Methods and Research, 16(1), 78–117. doi: 10.1177/0049124187016001004
  • Bi, Z., & Cochran, D. (2014). Big data analytics with applications. Journal of Management Analytics, 1(4), 249–265. doi: 10.1080/23270012.2014.992985
  • Black, J. S., Stern, P. C., & Elworth, J. T. (1985). Personal and contextual influences on household energy adaptations. Journal of Applied Psychology, 70, 3–21.
  • Branger, J., & Pang, Z. (2015). From automated home to sustainable, healthy and manufacturing home: A new story enabled by the internet-of-things and industry 4.0. Journal of Management Analytics, 2(4), 314–332. doi: 10.1080/23270012.2015.1115379
  • Carlsson-Kanyama, A., Linden, A., & Eriksson, B. (2005). Residential energy behaviour: Does generation matter? International Journal of Consumer Studies, 29(3), 239–253. doi: 10.1111/j.1470-6431.2005.00409.x
  • Chan, R. Y. K. (2001). Determinants of Chinese consumers' green purchase behavior. Psychology and Marketing, 18(4), 389–413. doi: 10.1002/mar.1013
  • Chen, L. (2009). Online consumer behavior: An empirical study based on theory of planned behavior (Doctoral dissertation). ETD collection for University of Nebraska – Lincoln, AAI3355613.
  • Chong, D., & Shi, H. (2015). Big data analytics: A literature review. Journal of Management Analytics, 2(3), 175–201. doi: 10.1080/23270012.2015.1082449
  • Chung, S. S., & Poon, C. S. (2001). A comparison of waste-reduction practices and new environmental paradigm of rural and urban Chinese citizens. Journal of Environmental Management, 62(1), 3–19. doi: 10.1006/jema.2000.0408
  • Curtis, F. A., Simpson-Housley, P., & Youck, C. (1984). Household energy conservation and locus of control: A research note. International Journal of Energy Research, 8(1), 89–93. doi: 10.1002/er.4440080109
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. doi: 10.2307/249008
  • Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487. doi: 10.1006/imms.1993.1022
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. doi: 10.1287/mnsc.35.8.982
  • Egmond, C., Jonkers, R., & Kok, G. (2005). A strategy to encourage housing associations to invest in energy conservation. Energy Policy, 33, 2374–2384.
  • Fishbein, M. E., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. In I. Ajzen (Ed.), Prediction of behavior (pp. 335–385). Reading, MA: Addison-Wesley.
  • Gatersleben, B., Steg, L., & Vlek, C. (2002). Measurement and determinants of environmentally significant consumer behaviour. Environment and Behavior, 34, 335–362.
  • Hungerford, H., Litherland, R., Peyton, R., Ramsey, J., Tomera, A., & Volk, T. (1988). Investigating and evaluation environmental issues and actions. Champaign, IL: Stipes Publishing L.L.C.
  • Ianuale, N., Schiavon, D., & Capobianco, E. (2015). Smart cities and urban networks: Are smart networks what we need? Journal of Management Analytics, 2(4), 285–294. doi: 10.1080/23270012.2015.1023856
  • Jiayue, A., & Liu, Z. (2014). What impact entrepreneurial intention? Cultural, environmental, and educational factors. Journal of Management Analytics, 1(3), 224–239. doi: 10.1080/23270012.2014.994232
  • Knabe, A. (2012). Applying Ajzen’s theory of planned behavior to a study of online course adoption in public relations education (Doctoral dissertation). Retrieved from e-Publications Marquette: http://epublications.marquette.edu/cgi/viewcontent.cgi?article=1186&context=dissertations_mu
  • Knight, R., Lutzenhiser, L., & Lutzenhiser, S. (2004). Selling residential energy efficiency retrofits: Why do they buy? Proceedings of the 2004 ACEEE Summer Study, American Council for an Energy Efficient Economy, Washington, DC.
  • Linden, A., Carlsson-Kanyama, A., & Eriksson, B. (2006). Efficient and inefficient aspects of residential energy behaviour: What are the policy instruments for change? Energy Policy, 34(14), 1918–1927. doi: 10.1016/j.enpol.2005.01.015
  • Loren, L., & Lutzenhiser, S. (2006). Evaluation of the California home performance program in the PG&E service area, 2004–05. Portland, OR: Lutzenhiser Associates (forthcoming for PG&E and the California Public Utilities Commission).
  • Lutzenhiser, L. (2002). Greening the economy from the bottom-up? Lessons in consumption from the energy case. In N. W. Biggart (Ed.), Readings in economic sociology (pp. 345–356). Oxford: Blackwell.
  • Ma, M., Oikonomou, A., & Zheng, H. (2009). Second life as a learning and teaching environment for digital games education. Retrieved from http://eprints.hud.ac.uk/id/eprint/23206
  • Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191. Retrieved from http://www.jstor.org/stable/23010882
  • Midden, C. J. H., & Ritsema, B. S. M. Z. (1983). The meaning of normative processes for energy conservation. Journal of Economic Psychology, 4, 37–55. doi: 10.1016/0167-4870(83)90044-2
  • Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. doi: 10.1287/isre.2.3.192
  • Nor, K. M. (2005). An empirical study of internet banking acceptance in Malaysia: An extended decomposed theory of planned behavior (Doctoral dissertation). Southern Illinois University Carbondale, Carbondale, IL.
  • Oikonomou, V., Becchis, F., Steg, L., & Russolillo, D. (2009). Energy saving and energy efficiency concepts for policy making. Energy Policy, 37(11), 4787–4796. doi: 10.1016/j.enpol.2009.06.035
  • Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. Management Information Systems Quarterly, 30(1), 115–143. Retrieved from http://www.jstor.org/stable/25148720
  • Poortinga, W., & Pidgeon, N. F. (2003). Public perceptions of risk, science and governance: Main findings of a British survey of five risk cases. Norwich: UEA/MORI.
  • 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.
  • van Raaij, W. F., & Verhallen, T. M. M. (1983). A behavioral model of residential energy use. Journal of Economic Psychology, 3(1), 39–63.
  • Reiss, P., & White, M. (2006). Evaluating welfare with nonlinear prices (NBER Working Paper No. 12370). doi: 10.3386/w12370
  • Rogers, E. M. (2003). Diffusion of innovations. New York, NY: Free Press.
  • Ryan, G., & Wu, F. (2011). What influences trader choice of electronic versus intermediated execution? International Review of Finance, 11(4), 445–476.
  • Samuelson, C. D., & Biek, M. (1991). Attitudes toward energy conservation: A confirmatory factor analysis. Journal of Applied Social Psychology, 21(7), 549–568. doi: 10.1111/j.1559-1816.1991.tb00536.x
  • Sardianou, E. (2005). Household energy conservation patterns: Evidence from Greece. Retrieved from http://www.lse.ac.uk/europeanInstitute/research/hellenicObservatory/pdf/2nd_Symposium/Eleni_Sardianou_paper.pdf
  • Scott, S., Dorrington, R., Svetlov, V., Beeser, A. E., Distler, M., & Cooper, T. G. (2000). Functional domain mapping and subcellular distribution of dal82p in saccharomyces cerevisiae. The Journal of Biological Chemistry, 275(10), 7189–7204. doi: 10.1074/jbc.275.10.7198
  • Segars, A. H., & Grover, V. (1993). Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS Quarterly, 17(4), 517–525.
  • Sherer, M., Maddux, J. E., Mercandante, B., Prentice-Dunn, S., Jacobs, B., & Rogers, R. W. (1982). The self-efficacy scale: Construction and validation. Psychological Reports, 51(2), 663–671. doi: 10.2466/pr0.1982.51.2.663
  • Steg, L. (2005). Car use: Lust and must. Instrumental, symbolic and affective motives for car use. Transportation Research Part A, 39, 147–162.
  • Steg, L., & Vlek, C. (2009). Encouraging pro-environmental behaviour: An integrative review and research agenda. Journal of Environmental Psychology, 29(3), 309–317. doi: 10.1016/j.jenvp.2008.10.004
  • Stern, P. C. (1992). Psychological dimensions of global environmental change. Annual Review of Psychology, 43, 269–302.
  • Stern, P. C. (1999). Information, incentives, and proenvironmental consumer behavior. Journal of Consumer Policy, 22(4), 461–478. doi: 10.1023/A:1006211709570
  • Szajna, B. (1994). software evaluation and choice: Predictive evaluation of the technology acceptance instrument. MIS Quarterly, 18(3), 319–324.
  • Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85–92. Retrieved from http://www.jstor.org/stable/2633017
  • Tanner, C., & Kast, S. W. (2003). Promoting sustainable consumption: Determinants of green purchases by Swiss consumers. Psychology & Marketing, 20(10), 883–902. doi: 10.1002/mar.10101
  • Taylor, J. B. (1995). The monetary transmission mechanism: An empirical framework. San Francisco, CA: Federal Reserve Bank of San Francisco.
  • Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(4), 144–176.
  • Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481. doi: 10.1111/j.1540-5915.1996.tb00860.x
  • Xu, L. D., He, W., & Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4), 2233–2243.
  • Wu, C.-Y., & Sun, Y. (2006). Review on studies of environmental attitudes and behavior and the relationship between them. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTOTAL-YUCE200604011.htm
  • Zhang, Z., & Jasimuddin, S. M. (2015). A model-based analysis for mobile knowledge management in organizations. Journal of Management Analytics, 2(1), 35–52. doi: 10.1080/23270012.2015.1012232
  • Zheng, B. (1997). Aggregate poverty measures. Journal of Economic Surveys, 1(2), 123–162. doi:10.1111/1467-6419.0002811:123–162
  • Zou, H., Chen, H. M., & Dey, S. (2015). Exploring user engagement strategies and their impacts with social media mining: The case of public libraries. Journal of Management Analytics, 2(4), 295–313.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.