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Understanding Continuance Usage of Natural Gas: A Theoretical Model and Empirical Evaluation

Author

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  • Victor Fernández-Guzmán

    (Graduate School of Business, ESAN University, Santiago de Surco 15023, Peru)

  • Edgardo R. Bravo

    (Department of Engineering, Universidad del Pacífico-Peru, Jesús María 15072, Peru)

Abstract
The adoption of natural gas increased notably last years, and there is some recognition that it improves the quality of life of inhabitants. While initial acceptance is an essential first step, the continued use is relevant to the long-term success of any technology. However, the literature on energy has focused on adoption and has devoted less attention to models that explain continuance usage. Accordingly, this study developed a model to explain continuance usage, grounded in Expectation-Confirmation Model (ECM). Unlike adoption models, confirmation of previous expectations and satisfaction with the experience of use have a relevant role in this phenomenon. Data was gathered through a questionnaire to 435 users of the service in a Latin American metropolis, and structural equations model was used for analysis. The results show that constructs of the ECM (perceived usefulness, disconfirmation, and satisfaction) influences on continuance intention. While the price impacts as expected, it is surprising that environmental consciousness strongly impacts the intention. These results may be useful for public agents to foster more comprehensive policies (beyond traditional: price and access), which include environmental and safety issues to consolidate the use of this energy source. Energy companies should develop strategies to manage consumer expectations and loyalty programs based on a high level of satisfaction.

Suggested Citation

  • Victor Fernández-Guzmán & Edgardo R. Bravo, 2018. "Understanding Continuance Usage of Natural Gas: A Theoretical Model and Empirical Evaluation," Energies, MDPI, vol. 11(8), pages 1-17, August.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2019-:d:161659
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    References listed on IDEAS

    as
    1. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    2. Nyrud, Anders Q. & Roos, Anders & Sande, Jon Bingen, 2008. "Residential bioenergy heating: A study of consumer perceptions of improved woodstoves," Energy Policy, Elsevier, vol. 36(8), pages 3159-3166, August.
    3. Moon, Junyean & Chadee, Doren & Tikoo, Surinder, 2008. "Culture, product type, and price influences on consumer purchase intention to buy personalized products online," Journal of Business Research, Elsevier, vol. 61(1), pages 31-39, January.
    4. Jill Fisher & Katherine Irvine, 2016. "Reducing Energy Use and Carbon Emissions: A Critical Assessment of Small-Group Interventions," Energies, MDPI, vol. 9(3), pages 1-12, March.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Choi, Hun & Kim, Youngchan & Kim, Jinwoo, 2011. "Driving factors of post adoption behavior in mobile data services," Journal of Business Research, Elsevier, vol. 64(11), pages 1212-1217.
    7. Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah Binti, 2016. "Renewable energy technology acceptance in Peninsular Malaysia," Energy Policy, Elsevier, vol. 88(C), pages 1-10.
    8. Alam, Syed Shah & Nik Hashim, Nik Hazrul & Rashid, Mamunur & Omar, Nor Asiah & Ahsan, Nilufar & Ismail, Md Daud, 2014. "Small-scale households renewable energy usage intention: Theoretical development and empirical settings," Renewable Energy, Elsevier, vol. 68(C), pages 255-263.
    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. Elisha R. Frederiks & Karen Stenner & Elizabeth V. Hobman, 2015. "The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review," Energies, MDPI, vol. 8(1), pages 1-37, January.
    11. Li, Xuesong & Li, Hao & Wang, Xingwu, 2013. "Farmers' willingness to convert traditional houses to solar houses in rural areas: A survey of 465 households in Chongqing, China," Energy Policy, Elsevier, vol. 63(C), pages 882-886.
    12. Shaikh, Faheemullah & Ji, Qiang & Shaikh, Pervez Hameed & Mirjat, Nayyar Hussain & Uqaili, Muhammad Aslam, 2017. "Forecasting China’s natural gas demand based on optimised nonlinear grey models," Energy, Elsevier, vol. 140(P1), pages 941-951.
    13. Park, Eunil & Ohm, Jay Y., 2014. "Factors influencing the public intention to use renewable energy technologies in South Korea: Effects of the Fukushima nuclear accident," Energy Policy, Elsevier, vol. 65(C), pages 198-211.
    14. Park, Chan-Kook & Kim, Hyun-Jae & Kim, Yang-Soo, 2014. "A study of factors enhancing smart grid consumer engagement," Energy Policy, Elsevier, vol. 72(C), pages 211-218.
    15. Liu, Wenling & Wang, Can & Mol, Arthur P.J., 2013. "Rural public acceptance of renewable energy deployment: The case of Shandong in China," Applied Energy, Elsevier, vol. 102(C), pages 1187-1196.
    16. Broman Toft, Madeleine & Schuitema, Geertje & Thøgersen, John, 2014. "Responsible technology acceptance: Model development and application to consumer acceptance of Smart Grid technology," Applied Energy, Elsevier, vol. 134(C), pages 392-400.
    17. Erickson, Gary M & Johansson, Johny K, 1985. "The Role of Price in Multi-attribute Product Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(2), pages 195-199, September.
    18. Z Liao & W K Wong, 2008. "The determinants of customer interactions with internet-enabled e-banking services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1201-1210, September.
    19. Leenheer, Jorna & de Nooij, Michiel & Sheikh, Omer, 2011. "Own power: Motives of having electricity without the energy company," Energy Policy, Elsevier, vol. 39(9), pages 5621-5629, September.
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    2. Imdadullah Hidayat-ur-Rehman & Muhammad Shakaib Akram & Aneela Malik & Shamsul A. Mokhtar & Zeeshan Ahmed Bhatti & Muhammad Asif Khan, 2020. "Exploring the Determinants of Digital Content Adoption By Academics: The Moderating Role of Environmental Concerns and Price Value," SAGE Open, , vol. 10(2), pages 21582440209, June.

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