1 |
Pirani and Arafat (2016)Pirani, S. I., & Arafat, H. A. (2016). Reduction of food waste generation in the hospitality industry. Journal of Cleaner Production, 132, 129-145. doi:10.1016/j.jclepro.2015.07.146 https://doi.org/10.1016/j.jclepro.2015.0...
|
Empirical |
Sustainability Indicator |
Does not address |
Public and Household Consumption |
Control |
Measurement Selection and Design |
Duong et al. (2018)Duong, L. N., Wood, L. C., & Wang, W. Y. (2018). Effects of consumer demand, product lifetime, and substitution ratio on perishable inventory management. Sustainability, 10(5), 1559. doi: 10.3390/su10051559 https://doi.org/10.3390/su10051559...
|
Empirical |
Set of Sustainability Indicators |
Does not address |
Transportation, Storage and Retail Distribution |
Improvement |
Measurement Selection and Design |
Charlebois et al. (2015)Charlebois, S., Creedy, A., & Massow, M. von. (2015). “Back of house” - Focused study on food waste in fine dining: The case of Delish restaurants. International Journal of Culture, Tourism and Hospitality Research, 9(3), 278-291. doi:10.1108/ijcthr-12-2014-0100 https://doi.org/10.1108/ijcthr-12-2014-0...
|
Empirical |
Waste Sources only |
Does not address |
Retail |
Control |
Measurement Selection and Design |
Sturgeon et al. (2016)Searchinger, T., Waite, R., Hanson, C., Ranganathan, J., Dumas, P., & Matthews, E. (2018). Creating a sustainable food future: A menu of solutions to feed nearly 10 billion people by 2050. World Resources Institute. Retrieved from https://www.wri.org/research/creating-sustainable-food-future https://www.wri.org/research/creating-su...
|
Theoretical |
Set of Indicators with Causal Relations in the Economic Dimension |
Does not address |
Transportation, Storage and Distribution to Public and Household Consumption |
Improvement |
Measurement Selection and Design |
Derqui e Fernandez (2017)Derqui, B., & Fernandez, V. (2017). The opportunity of tracking food waste in school canteens: Guidelines for self-assessment. Waste Management, 69, 431-444. doi:10.1016/j.wasman.2017.07.030v https://doi.org/10.1016/j.wasman.2017.07...
|
Empirical |
Social, Economic and Sustainability Indicators |
Does not address |
Public and Household Consumption |
Improvement |
Data Collection and Manipulation |
Naidoo and Gasparatos (2018)Naidoo, M., & Gasparatos, A. (2018). Corporate environmental sustainability in the retail sector: Drivers, strategies and performance measurement. Journal of Cleaner Production, 203, 125-142. doi:10.1016/j.jclepro.2018.08.253 https://doi.org/10.1016/j.jclepro.2018.0...
|
Theoretical |
Set of Sustainability Indicators |
Yes |
Retail |
Strategic Management |
Measurement Selection and Design Information Management |
2 |
Duke et al. (2014) |
Theoretical |
Indicators with Causals Relations in the Economic Dimension |
Does not address |
Transportation, Storage and Distribution |
Strategic Management Communication |
Measurement Selection and Design Data Collection and Manipulation |
Alamar et al. (2018)Alamar, M. D. C., Falagán, N., Aktas, E., & Terry, L. A. (2018). Minimising food waste: A call for multidisciplinary research. Journal of the Science of Food and Agriculture, 98(1), 8-11. doi:10.1002/jsfa.8708 https://doi.org/10.1002/jsfa.8708...
|
Theoretical |
Measures with Causal Relations in the Economic Dimension |
Does not address |
Harvest/Slaughter Processing and Packaging |
Improvement |
Data Collection and Manipulation |
Soysal et al. (2018)Soysal, M., Bloemhof-Ruwaard, J. M., Haijema, R., & Vorst, J. G. van der. (2018). Modeling a green inventory routing problem for perishable products with horizontal collaboration. Computers & Operations Research, 89, 168-182. doi:10.1016/j.cor.2016.02.003 https://doi.org/10.1016/j.cor.2016.02.00...
|
Empirical |
Set of Economic and Sustainability Indicators |
Does not address |
Transportation, Storage and Distribution |
Control Communication |
Measurement Selection and Design |
Despoudi et al. (2018)Despoudi, S., Papaioannou, G., Saridakis, G., & Dani, S. (2018). Does collaboration pay in agricultural supply chain? An empirical approach. International Journal of Production Research, 56(13), 4396-4417. doi:10.1080/00207543.2018.1440654 https://doi.org/10.1080/00207543.2018.14...
|
Empirical |
Tons wasted, as Economic and Sustainability Indicator |
Does not address |
Post-Harvest/Slaughter Operations |
Control |
Information Management |
Orjuela-Castro et al. (2019)Orjuela-Castro, J. A., Orejuela-Cabrera, J. P., & Adarme-Jaimes, W. (2019). Last mile logistics in mega-cities for perishable fruits. Journal of Industrial Engineering and Management, 12(2), 318-327. doi:10.3926/jiem.2770 https://doi.org/10.3926/jiem.2770...
|
Empirical |
Set of Economic Indicators |
Does not address |
Transportation, Storage and Distribution |
Improvement |
Measurement Selection and Design |
Feiz et al. (2020)Feiz, R., Johansson, M., Lindkvist, E., Moestedt, J., Påledal, S. N., & Svensson, N. (2020). Key performance indicators for biogas production: Methodological insights on the life-cycle analysis of biogas production from source-separated food waste. Energy, 200, 117462. doi:10.1016/j.energy.2020.117462 https://doi.org/10.1016/j.energy.2020.11...
|
Empirical |
Set of Economic and Sustainability Indicators |
Does not address |
Processing and Packaging |
Control |
Measurement Selection and Design |
Salt et al. (2017) |
Empirical |
Set of Economic Indicators |
Does not address |
Public and Household Consumption |
Control |
Measurement Selection and Design |
Menna et al. (2018)Menna, F. De, Dietershagen, J., Loubiere, M., & Vittuari, M. (2018). Life cycle costing of food waste: A review of methodological approaches. Waste Management, 73, 1-13. doi:10.1016/j.wasman.2017.12.032 https://doi.org/10.1016/j.wasman.2017.12...
|
Theoretical |
Set of Economic Indicators |
Does not address |
All Supply Chain Stages |
Control |
Unidentified |
Moustafa et al. (2018)Moustafa, G. Y., Galal, N. M., & El-Kilany, K. S. (2018, December). Sustainable dynamic pricing for perishable food with stochastic demand. In IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). Bangkok, Thailand.
|
Theoretical |
Set of Economic Indicators |
Does not address |
Retail |
Control |
Measurement Selection and Design |
Pauer et al. (2019)Pauer, E., Wohner, B., Heinrich, V., & Tacker, M. (2019). Assessing the environmental sustainability of food packaging: An extended life cycle assessment including packaging-related food losses and waste and circularity assessment. Sustainability, 11(3), 925. doi:10.3390/su11030925 https://doi.org/10.3390/su11030925...
|
Theoretical |
Set of Sustainability Indicators |
Yes |
Processing and Packaging |
Control |
Measurement Selection and Design |
Bohtan et al. (2019)Bohtan, A., Mathiyazhagan, K., & Vrat, P. (2019). Modeling the public distribution system: A PO-P approach. OPSEARCH, 56(3), 1024-1066. doi:10.1007/s12597-019-00384-1 https://doi.org/10.1007/s12597-019-00384...
|
Empirical |
Set of Indicators with Causal Relations in the Economic Dimension |
Yes |
Post-Harvest/Retail Slaughter Operations |
Control Improvement |
Measurement Selection and Design Data Collection and Manipulation |
Garcia-Garcia et al. (2019)Garcia-Garcia, G., Stone, J., & Rahimifard, S. (2019). Opportunities for waste valorisation in the food industry: A case study with four UK food manufacturers. Journal of Cleaner Production, 211, 1339-1356. doi:10.1016/j.jclepro.2018.11.269 https://doi.org/10.1016/j.jclepro.2018.1...
|
Empirical |
Set of Sustainability Indicators |
Does not address |
Transportation, Storage and Distribution to Processing and Packaging |
Control |
Measurement Selection and Design |