The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Application of the extended theory of planned behavior to understand individual’s energy saving behavior in workplaces
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Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Perceived Behavioral Control, Self‐Efficacy, Locus of Control, and the Theory of Planned Behavior 1
Ajzen, I. (2002) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2002.tb00236.x · Cited by 7,629
Chen, M.-F., & Tung, P.-J. (2014) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2013.09.006 · Cited by 1,566
Yadav, R., & Pathak, G. S. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.06.120 · Cited by 1,463
Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis
Rivis, A., & Sheeran, P. (2003) · Current Psychology · doi:10.1007/s12144-003-1018-2 · Cited by 1,258
Cited by
Ateş, H. (2020) · Sustainable Production and Consumption · doi:10.1016/j.spc.2020.07.006 · Cited by 303
Wang, S., Wang, J., Lin, S., & Li, J. (2019) · Energy Policy · doi:10.1016/j.enpol.2018.11.040 · Cited by 253
Self-citationWang, S., Yu, H., Hu, X., & Li, J. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.12998 · Cited by 71
Self-citationZhang, W., & Luo, B. (2021) · Clean Technologies and Environmental Policy · doi:10.1007/s10098-021-02061-8 · Cited by 54
Wang, S., Jiang, J., Zhou, Y., Li, J., Zhao, D., & Lin, S. (2020) · Environmental Geochemistry and Health · doi:10.1007/s10653-018-0235-4 · Cited by 37
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Metadata
- Authors
- Gao, L., Wang, S., Li, J., & Li, H.
- Venue
- Resources, Conservation and Recycling
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 127
- Pages
- 107-113
- ISSN
- 0921-3449 (ISSN-L)
- OpenAlex
- W2757678149
- Cited by
- 583
- References
- 12
- FWCI
- 58.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gao, L., Wang, S., Li, J., & Li, H. (2017). Application of the extended theory of planned behavior to understand individual’s energy saving behavior in workplaces. Resources, Conservation and Recycling. https://doi.org/10.1016/j.resconrec.2017.08.030
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
