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Sustainability performance measurement : a preliminary classification framework of models and indicators

Dries Couckuyt (UGent) , Amy Van Looy (UGent) and Manu De Backer (UGent)
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Abstract
In this position paper we focus on the diversity of sustainability measurements. Based on existing research on performance measurement, we propose a preliminary classification framework summarizing sustainability models and indicators. By describing illustrative examples, we claim that several models and indicators can be distinguished with their own peculiarities. Having such a framework is interesting for both academia and business to structure the range of models and indicators and to ultimately select the appropriate sustainability measurement approach. The proposed framework should be validated by further research.
Keywords
Sustainability, Green BPM, Performance measurement

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MLA
Couckuyt, Dries, Amy Van Looy, and Manu De Backer. “Sustainability Performance Measurement : a Preliminary Classification Framework of Models and Indicators.” BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2017). Ed. Ernest Teniente & Matthias Weidlich. Vol. 308. Berlin-Heidelberg: Springer International Publishing, 2018. 520–524. Print.
APA
Couckuyt, D., Van Looy, A., & De Backer, M. (2018). Sustainability performance measurement : a preliminary classification framework of models and indicators. In E. Teniente & M. Weidlich (Eds.), BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2017) (Vol. 308, pp. 520–524). Presented at the 15th International Conference on Business Process Management (BPM) , Berlin-Heidelberg: Springer International Publishing.
Chicago author-date
Couckuyt, Dries, Amy Van Looy, and Manu De Backer. 2018. “Sustainability Performance Measurement : a Preliminary Classification Framework of Models and Indicators.” In BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2017), ed. Ernest Teniente and Matthias Weidlich, 308:520–524. Berlin-Heidelberg: Springer International Publishing.
Chicago author-date (all authors)
Couckuyt, Dries, Amy Van Looy, and Manu De Backer. 2018. “Sustainability Performance Measurement : a Preliminary Classification Framework of Models and Indicators.” In BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2017), ed. Ernest Teniente and Matthias Weidlich, 308:520–524. Berlin-Heidelberg: Springer International Publishing.
Vancouver
1.
Couckuyt D, Van Looy A, De Backer M. Sustainability performance measurement : a preliminary classification framework of models and indicators. In: Teniente E, Weidlich M, editors. BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2017). Berlin-Heidelberg: Springer International Publishing; 2018. p. 520–4.
IEEE
[1]
D. Couckuyt, A. Van Looy, and M. De Backer, “Sustainability performance measurement : a preliminary classification framework of models and indicators,” in BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2017), Barcelona, Spain, 2018, vol. 308, pp. 520–524.
@inproceedings{8545259,
  abstract     = {In this position paper we focus on the diversity of sustainability measurements. Based on existing research on performance measurement, we propose a preliminary classification framework summarizing sustainability models and indicators. By describing illustrative examples, we claim that several models and indicators can be distinguished with their own peculiarities. Having such a framework is interesting for both academia and business to structure the range of models and indicators and to ultimately select the appropriate sustainability measurement approach. The proposed framework should be validated by further research.},
  author       = {Couckuyt, Dries and Van Looy, Amy and De Backer, Manu},
  booktitle    = {BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2017)},
  editor       = {Teniente, Ernest and Weidlich, Matthias},
  isbn         = {9783319740294},
  issn         = {1865-1348},
  keywords     = {Sustainability,Green BPM,Performance measurement},
  language     = {eng},
  location     = {Barcelona, Spain},
  pages        = {520--524},
  publisher    = {Springer International Publishing},
  title        = {Sustainability performance measurement : a preliminary classification framework of models and indicators},
  url          = {http://dx.doi.org/10.1007/978-3-319-74030-0_41},
  volume       = {308},
  year         = {2018},
}

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