- Amarasinghe, U.A., Shah, T., & Singh, O.P. (2007). Changing consumption patterns: Implications on food and water demand in India (Vol. 119). IWMI.
- Berjan, S., Capone, R., Debs, P., & El Bilali, H. (2018). Food losses and waste: a global overview with a focus on Near East and North Africa region. International Journal of Agricultural Management and Development, 8(1), 1–16.
- Black, T.C., & Thompson, W.J. (2001). Bayesian data analysis. In Computing in Science and Engineering (Vol. 3, Issue 4). Chapman and Hall/CRC.
- Bolstad, W.M., & Curran, J.M. (2004). Introduction to bayesian statistics, john willey & sons. , New Jersey.
- Bond, M., Meacham, T., Bhunnoo, R., & Benton, T.G. (2013). Food waste within global food systems. In Global Food Security Programme. Global Food Security Swindon, UK. https://doi.org/10.1016/j.gfs.2013.08.001
- Brooks, S., Gelman, A., Jones, G.L., & Meng, X.L. (2011). Handbook of Markov Chain Monte Carlo. In Handbook of Markov Chain Monte Carlo. CRC press. https://doi.org/10.1201/b10905
- Browne, W.J. (2009). MCMC Estimation in MLwiN (Version 2.10) Centre for Multilevel Modelling Bristol. In United Kingdom: University of Bristol.
- Buzby, J.C., Bentley, J.T., Padera, B., Ammon, C., & Campuzano, J. (2015). Estimated fresh produce shrink and food loss in U.S. supermarkets. Agriculture (Switzerland), 5(3), 626–648. MDPI. https://doi.org/10.3390/agriculture5030626
- Calvo-Porral, C., Medín, A.F., & Losada-López, C. (2017). Can marketing help in tackling food waste?: Proposals in developed countries. Journal of Food Products Marketing, 23(1), 42–60. https://doi.org/10.1080/10454446.2017.1244792
- Colin, W. (1990). Trigeminal intraoral schwannomas. Compendium (Newtown, Pa.), 11(11), 1. FAO Rome.
- Congdon, P. (2003). Applied Bayesian Modelling. In Applied Bayesian Modelling. John Wiley & Sons. https://doi.org/10.1002/0470867159
- Corrado, S., Ardente, F., Sala, S., & Saouter, E. (2017). Modelling of food loss within life cycle assessment: From current practice towards a systematisation. Journal of Cleaner Production, 140, 847–859. https://doi.org/10.1016/j.jclepro.2016.06.050
- Cubillos, M., Wulff, J.N., & Wøhlk, S. (2021). A multilevel Bayesian framework for predicting municipal waste generation rates. Waste Management, 127, 90–100. https://doi.org/10.1016/j.wasman.2021.04.011
- de Lange, W., & Nahman, A. (2015). Costs of food waste in South Africa: Incorporating inedible food waste. Waste Management, 40, 167–172. https://doi.org/10.1016/j.wasman.2015.03.001
- De Steur, H., Wesana, J., Dora, M.K., Pearce, D., & Gellynck, X. (2016). Applying value stream mapping to reduce food losses and wastes in supply chains: A systematic review. Waste Management, 58, 359–368. https://doi.org/10.1016/j.wasman.2016.08.025
- Di Talia, E., Simeone, M., & Scarpato, D. (2019). Consumer behaviour types in household food waste. Journal of Cleaner Production, 214, 166–172. https://doi.org/10.1016/j.jclepro.2018.12.216
- Falasconi, L., Cicatiello, C., Franco, S., Segrè, A., Setti, M., & Vittuari, M. (2019). Such a shame! A study on self-perception of household food waste. Sustainability (Switzerland), 11(1), 270. https://doi.org/10.3390/su11010270
- (2014). Food and Agriculture Organization of the United Nations. International Fund for Agricultural Development. World Food Programme. The State of Food Insecurity in the World. Strengthening the enabling environment for food security and nutrition. Food & Agriculture Org. https://doi.org/10.18356/c94f150c-en
- Gaiani, S., Caldeira, S., Adorno, V., Segrè, A., & Vittuari, M. (2018). Food wasters: Profiling consumers’ attitude to waste food in Italy. Waste Management, 72, 17–24. https://doi.org/10.1016/j.wasman.2017.11.012
- Gardas, B.B., Raut, R.D., & Narkhede, B. (2017). Modeling causal factors of post-harvesting losses in vegetable and fruit supply chain: An Indian perspective. Renewable and Sustainable Energy Reviews, 80, 1355–1371. https://doi.org/10.1016/j.rser.2017.05.259
- Heidari, A., Mirzaii, F., Rahnama, M., & Alidoost, F. (2020). A theoretical framework for explaining the determinants of food waste reduction in residential households: a case study of Mashhad, Iran. Environmental Science and Pollution Research, 27(7), 6774–6784. https://doi.org/10.1007/s11356-019-06518-8
- IMAJ. (2021). IMAJ. Iran’s Ministry of Agriculture Jihad.
- Ishangulyyev, R., Kim, S., & Lee, S.H. (2019). Understanding food loss and waste-why are we losing and wasting food? Foods, 8(8), 297. https://doi.org/10.3390/foods8080297
- Kowalska, A. (2015). The issue of food losses and waste and its determinants. Logforum, 13(1), 7–18.
- Kulikovskaja, V., & Aschemann-Witzel, J. (2017). Food waste avoidance actions in food retailing: The case of Denmark. Journal of International Food and Agribusiness Marketing, 29(4), 328–345. https://doi.org/10.1080/08974438.2017.1350244
- Lai, M.H.C., & Kwok, O.M. (2015). Examining the rule of thumb of not using multilevel modeling: The “design effect smaller than two” rule. Journal of Experimental Education, 83(3), 423–438. https://doi.org/10.1080/00220973.2014.907229
- Lebersorger, S., & Schneider, F. (2014). Food loss rates at the food retail, influencing factors and reasons as a basis for waste prevention measures. Waste Management, 34(11), 1911–1919. https://doi.org/10.1016/j.wasman.2014.06.013
- Madhani, P.M. (2009). The convergence of supply chain management and marketing mix strategy: Importance and implications. MacMillan Advanced Research Series, MacMillan Publishers, India, 425–439.
- Madhani, P.M. (2012). Value creation through integration of supply chain management and marketing strategy. IUP Journal of Business Strategy, 9(1), 7–26.
- Madhani, P.M. (2015). RFID enabled supply chain management (SCM) and marketing strategy for competitive advantages. Materials Management Review, 11(9), 9–14. https://doi.org/10.2139/ssrn.2613906
- Magalhães, V.S.M., Ferreira, L.M.D.F., & Silva, C. (2021). Using a methodological approach to model causes of food loss and waste in fruit and vegetable supply chains. Journal of Cleaner Production, 283, 124574. https://doi.org/10.1016/j.jclepro.2020.124574
- Mahmoudi, M., Mohammadi, H., Saghaian, S., & Karbasi, A. (2024). Factors affecting the waste of selected agricultural products with an emphasis on the marketing mix. Agriculture (Switzerland), 14(6), 857. https://doi.org/10.3390/agriculture14060857
- Masood, M., & Reidpath, D.D. (2016). Intraclass correlation and design effect in BMI, physical activity and diet: A cross-sectional study of 56 countries. BMJ Open, 6(1), e008173. https://doi.org/10.1136/bmjopen-2015-008173
- McCarthy, B., & Liu, H.B. (2017). Food waste and the ‘green’ consumer. Australasian Marketing Journal, 25(2), 126–132. https://doi.org/10.1016/j.ausmj.2017.04.007
- McElreath, R. (2018). Statistical rethinking: A bayesian course with examples in R and stan. Statistical Rethinking: A Bayesian Course with Examples in R and Stan, 1–469. https://doi.org/10.1201/9781315372495
- Mena, C., Terry, L.A., Williams, A., & Ellram, L. (2014). Causes of waste across multi-tier supply networks: Cases in the UK food sector. International Journal of Production Economics, 152, 144–158. https://doi.org/10.1016/j.ijpe.2014.03.012
- Morone, P., Falcone, P.M., Imbert, E., & Morone, A. (2018). Does food sharing lead to food waste reduction? An experimental analysis to assess challenges and opportunities of a new consumption model. Journal of Cleaner Production, 185, 749–760. https://doi.org/10.1016/j.jclepro.2018.01.208
- Mulder, J., & Fox, J.P. (2019). Bayes factor testing of multiple intraclass correlations. Bayesian Analysis, 14(2), 521–552. https://doi.org/10.1214/18-ba1115
- Parfitt, J., Barthel, M., & MacNaughton, S. (2010). Food waste within food supply chains: Quantification and potential for change to 2050. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1554), 3065–3081. https://doi.org/10.1098/rstb.2010.0126
- Plazzotta, S., Manzocco, L., & Nicoli, M.C. (2017). Fruit and vegetable waste management and the challenge of fresh-cut salad. Trends in Food Science and Technology, 63, 51–59. https://doi.org/10.1016/j.tifs.2017.02.013
- Pooley, C.M., & Marion, G. (2018). Bayesian model evidence as a practical alternative to deviance information criterion. In Royal Society Open Science, 5(3), 171519. https://doi.org/10.1098/rsos.171519
- Pour, F.H., & Makkawi, Y.T. (2021). A review of post-consumption food waste management and its potentials for biofuel production. Energy Reports, 7, 7759–7784. https://doi.org/10.1016/j.egyr.2021.10.119
- Priefer, C., Jörissen, J., & Bräutigam, K.R. (2016). Food waste prevention in Europe - A cause-driven approach o identify the most relevant leverage points for action. Resources, Conservation and Recycling, 109, 155–165. https://doi.org/10.1016/j.resconrec.2016.03.004
- Reynolds, C.J., Buckley, J.D., Weinstein, P., & Boland, J. (2016). Are the dietary guidelines for meat, fat, fruit and vegetable consumption appropriate for environmental sustainability? A review of the Literature. Sustainable Food and Beverage Industries: Assessments and Methodologies, 6(6), 263–280. https://doi.org/10.1201/b20562-20
- Richter, B., & Bokelmann, W. (2016). Approaches of the German food industry for addressing the issue of food losses. Waste Management, 48, 423–429. https://doi.org/10.1016/j.wasman.2015.11.039
- Soma, T. (2020). Space to waste: the influence of income and retail choice on household food consumption and food waste in Indonesia. International Planning Studies, 25(4), 372–392. https://doi.org/10.1080/13563475.2019.1626222
- Vehtari, A., Gelman, A., & Gabry, J. (2017). Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing, 27(5), 1413–1432. https://doi.org/10.1007/s11222-016-9696-4
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