Abeliotis K, Lasaridi K, Chroni C (2014) Attitudes and behaviour of Greek households regarding food waste prevention. Waste Manag Res 32(3):237–240. https://doi.org/10.1177/0734242X14521681
Article
Google Scholar
Abeliotis K, Lasaridi K, Boikou K, Chroni C (2019) Food waste volume and composition in households in Greece. GlobalNEST Int J 21(3):399–404. https://doi.org/10.30955/gni.003144
Article
Google Scholar
Agapito D, Oom do Valle P, Júlio da Costa Mendes J (2013) The cognitive-affective-conative model of destination image: a confirmatory analysis. J Travel Tour Mark 30(5):471–481. https://doi.org/10.1080/10548408.2013.803393
Article
Google Scholar
Ajzen I, Fishbein M (2005) The influence of attitudes on behavior. In: Albarracín D, Johnson BT, Zanna MP (eds) The handbook of attitudes. Erlbaum, New Jersey, pp 173–221
Google Scholar
Allport GW (1935) Attitudes. In: Murchison C (ed) A handbook of social psychology. Clark University Press, Massachusetts, pp 789–844
Google Scholar
Babbie E (2014) The practice of social research, 14th edn. Cengage Learning, Boston
Google Scholar
Chin WW (1998) The partial least squares approach to structural equation modelling. In: Marcoulides GA (ed) Modern Methods for Business Research, Erlbaum, Mahwah, pp 295–358
Cox J, Giorgi S, Sharp V, Strange K, Wilson DC, Blakey N (2010) Household waste prevention – a review of evidence. Waste Manag Res 28(3):193–219. https://doi.org/10.1177/0734242X10361506
Article
Google Scholar
Davison AC, Hinkley DV (1997) Bootstrap methods and their application. Cambridge University Press, Cambridge
Book
Google Scholar
Djekic I, Miloradovic Z, Djekic S, Tomasevic I (2019) Household food waste in Serbia – attitudes, quantities and global warming potential. J Clean Prod 229:44–52. https://doi.org/10.1016/j.jclepro.2019.04.400
Article
Google Scholar
Eagly AH, Mladinic A, Otto S (1994) Cognitive and affective bases of attitudes toward social groups and social policies. J Exp Soc Psychol 30(2):113–137. https://doi.org/10.1006/jesp.1994.1006
Article
Google Scholar
EU Platform on Food Losses and Food Waste (2019) Recommendations for action in food waste prevention. https://ec.europa.eu/food/sites/food/files/safety/docs/fs_eu-actions_action_implementation_platform_key_recommendations.pdf (accessed 27 February 2020)
European Commission (2018) DIRECTIVE (EU) 2018/851 of the European Parliament and of the Council of 30 May 2018 amending Directive 2008/98/EC on waste
European Commission (2019) Supplementing Directive 2008/98/EC of the European Parliament and of the Council as regards a common methodology and minimum quality requirements for the uniform measurement of levels of food waste. European Commission official website. http://ec.europa.eu/transparency/regdoc/rep/3/2019/EN/C-2019-3211-F1-EN-MAIN-PART-1.PDF (accessed 14 May 2019)
Evans D (2011) Blaming the consumer–once again: the social and material contexts of everyday food waste practices in some English households. Crit Public Health 21(4):429–440. https://doi.org/10.1080/09581596.2011.608797
Article
Google Scholar
Evans D (2012) Beyond the throwaway society: ordinary domestic practice and a sociological approach to household food waste. Sociology 46(1):41–56. https://doi.org/10.1177/0038038511416150
Article
Google Scholar
Farr Wharton G, Foth M, Choi JHJ (2014) Identifying factors that promote consumer behaviours causing expired domestic food waste. J Consum Behav 13(6):393–402. https://doi.org/10.1002/cb.1488
Article
Google Scholar
Fishbein M, Ajzen I (1977) Belief, attitude, intention, and behavior: an introduction to theory and research. Philos Rhetor 10(2):130–132
Google Scholar
Food and Agricultural Organisation (FAO) (2011) Global food losses and food waste. FAO website. www.fao.org/docrep/014/mb060e/mb060e.pdf (accessed 14 May 2019)
Fornell C, Larcker DF (1981) Structural equation models with unobservable variables and measurement error: algebra and statistics. J Mark Res 18(3):382–388. https://doi.org/10.2307/3150980
Article
Google Scholar
Frohnmaier D, Brandstetter P, Gehring F (2015) Report about food waste statistics in Europe. Plas Carb - Innovative plasma based transformation of food waste into high value graphitic carbon and renewable hydrogen
FUSIONS (2014) Report on review of (food) waste reporting methodology and practice. FUSIONS website. www.eu-fusions.org/phocadownload/Publications/Food%20waste%20quantification%20manual%20to%20monitor%20food%20waste%20amounts%20and%20progression.pdf (accessed 13 February 2019)
FUSIONS (2016) Estimates of European food waste level. FUSIONS website. https://www.eu-fusions.org/phocadownload/Publications/Estimates%20of%20European%20food%20waste%20levels.pdf (accessed 12 June 2019)
Ganglbauer E, Fitzpatrick G, Comber R, (2013) Negotiating food waste: using a practice lens to inform design. ACM Trans Comp Hum Interact (TOCHI) 20(2):11–25. https://doi.org/10.1145/2463579.2463582
Graham-Rowe E, Jessop DC, Sparks P (2014) Identifying motivations and barriers to minimising household food waste. Resour Conserv Recycl 84:15–23. https://doi.org/10.1016/j.resconrec.2013.12.005
Article
Google Scholar
Grasso AC, Olthof MR, Boevé AJ, Doonen C, Lähteenmäki L, Brouwer IA (2019) Socio-demographic predictors of food waste behavior in Denmark and Spain. Sustainability 11(12):3244. https://doi.org/10.3390/su11123244
Article
Google Scholar
Greenwald AG (1989) Why attitudes are important: defining and attitude and attitude theory twenty years later. In: Pratkanis AR, Breckler SJ, Greenwald A (eds) Attitude structure and function. Earlbaum, New Jersey, pp 429–440
Google Scholar
Haenlein M, Kaplan AM (2004) A beginner’s guide to partial least squares analysis. Underst Stat 3(4):283–297. https://doi.org/10.1207/s15328031us0304_4
Article
Google Scholar
Hair JF, Black WC, Babin BJ, Anderson RE (2009) Multivariate data analysis, 7th edn. Prentice Hall, Upper Saddle River
Google Scholar
Hair JF, Ringle CM, Sarstedt M (2011) PLS-SEM: indeed a silver bullet. J Mark Theory Pract 19(2):139–151. https://doi.org/10.2753/MTP1069-6679190202
Article
Google Scholar
Hair JF, Hult GTM, Ringle C, Sarstedt M (2016) A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications
Hameed I, Waris I, Haq MAU (2019) Predicting eco-conscious consumer behavior using theory of planned behavior in Pakistan. Environ Sci Pollut Res 26(15):15535–15547. https://doi.org/10.1007/s11356-019-04967-9
Article
Google Scholar
Hanssen OJ, Syversen F, Stø E (2016) Edible food waste from Norwegian households—detailed food waste composition analysis among households in two different regions in Norway. Resour Conserv Recycl 109:146–154. https://doi.org/10.1016/j.resconrec.2016.03.010
Article
Google Scholar
Henseler J, Ringle CM, Sinkovics RR (2009) The use of partial least squares path modeling in international marketing. Adv Int Mark 20:277–320. https://doi.org/10.1108/S1474-7979(2009)0000020014
Article
Google Scholar
Henseler J, Ringle C M, Sarstedt M (2012) Using partial least squares path modeling in international advertising research: basic concepts and recent issues. In: S Okazaki (ed) Handbook of research in international advertising Cheltenham UK: Edward Elgar, pp 252-276
Henseler J, Ringle CM, Sarstedt M (2015) A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acad Mark Sci 43(1):115–135. https://doi.org/10.1007/s11747-014-0403-8
Article
Google Scholar
Hulland J (1999) Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strateg Manag J 20(2):195–204. https://doi.org/10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
Article
Google Scholar
Hungarian Central Statistical Office (HCSO) (2012) Population census 2011, Preliminary data. http://www.ksh.hu/docs/eng/xftp/idoszaki/nepsz2011/enepszelo2011.pdf (accessed 14 May 2019)
Jörissen J, Priefer C, Bräutigam KR (2015) Food waste generation at household level: results of a survey among employees of two European research centers in Italy and Germany. Sustainability 7(3):2695–2715. https://doi.org/10.3390/su7032695
Article
Google Scholar
Koivupuro HK, Hartikainen H, Silvennoinen K, Katajajuuri JM, Heikintalo N, Reinikainen A, Jalkanen L (2012) Influence of socio-demographical, behavioural and attitudinal factors on the amount of avoidable food waste generated in Finnish households. Int J Consum Stud 36(2):183–191. https://doi.org/10.1111/j.1470-6431.2011.01080.x
Article
Google Scholar
Lourenço JS, Ciriolo E, Almeida SR, Dessart FJ (2016) Behavioural insights applied to policy-country overviews 2016 (no. JRC100547). European Commission - Joint Research Centre
Mallinson LJ, Russell JM, Barker ME (2016) Attitudes and behaviour towards convenience food and food waste in the United Kingdom. Appetite 103:17–28. https://doi.org/10.1016/j.appet.2016.03.017
Article
Google Scholar
Mondéjar-Jiménez JA, Ferrari G, Secondi L, Principato L (2016) From the table to waste: an exploratory study on behaviour towards food waste of Spanish and Italian youths. J Clean Prod 138:8–18. https://doi.org/10.1016/j.jclepro.2016.06.018
Article
Google Scholar
Nunally JC, Bernstein I (1994) Psychometric theory. McGraw-Hill, New York
Google Scholar
Osborne JW, Costello AB, Kellow JT (2008) Best practices in exploratory factor analysis. Best practices in quantitative methods. Sage Publications
Ostrom TM (1969) The relationship between the affective, behavioral, and cognitive components of attitude. J Exp Soc Psychol 5(1):12–30. https://doi.org/10.1016/0022-1031(69)90003-1
Article
Google Scholar
Parizeau K, von Massow M, Martin R (2015) Household-level dynamics of food waste production and related beliefs, attitudes, and behaviours in Guelph, Ontario. Waste Manag 35:207–217. https://doi.org/10.1016/j.wasman.2014.09.019
Article
Google Scholar
Petter S, Straub DW, Rai A (2007) Specifying formative constructs in information systems research. Manag Inf Syst Q 31(4):623–656. https://doi.org/10.2307/25148814
Article
Google Scholar
Porpino G, Wansink B, Parente J (2016) Wasted positive intentions: the role of affection and abundance on household food waste. J Food Prod Mark 22(7):733–751. https://doi.org/10.1080/10454446.2015.1121433
Article
Google Scholar
Rossiter JR (2002) The C-OAR-SE procedure for scale development in marketing. Int J Res Mark 19(4):305–335. https://doi.org/10.1016/S0167-8116(02)00097-6
Article
Google Scholar
Schneider F, Obersteiner G (2007) Food waste in residual waste of households – regional and social-economic difference. In: Cossu RR, Diaz LF, Stegmann R (eds) Proceedings of the eleventh international waste management and landfill symposium. S. Margherita di Pula, Cagliari, pp 469–470
Google Scholar
Stancu V, Haugaard P, Lähteenmäki L (2016) Determinants of consumer food waste behaviour: two routes to food waste. Appetite 96:7–17. https://doi.org/10.1016/j.appet.2015.08.025
Article
Google Scholar
Stangherlin IC, Barcellos MD (2018) Drivers and barriers to food waste reduction. Br Food J 120(10):2364–2387. https://doi.org/10.1108/BFJ-12-2017-0726
Article
Google Scholar
Stefan V, van Herpen E, Tudoran AA, Lähteenmäki L (2013) Avoiding food waste by Romanian consumers: the importance of planning and shopping routines. Food Qual Prefer 28(1):375–381. https://doi.org/10.1016/j.foodqual.2012.11.001
Article
Google Scholar
Szabó-Bódi B, Gy K, Szakos D (2018) Assessment of household food waste in Hungary. Br Food J 120(3):625–638. https://doi.org/10.1108/BFJ-04-2017-0255
Article
Google Scholar
Tenenhaus M, Esposito Vinzi V, Chatelin YM, Lauro C (2005) PLS path modeling. Comput Stat Data Anal 48(1):159–205. https://doi.org/10.1016/j.csda.2004.03.005
Article
Google Scholar
Visschers VHM, Wickli N, Siegrist M (2016) Sorting out food waste behavior: a survey on the motivators and barriers of self-reported amounts of food waste in households. J Environ Psychol 45:66–78. https://doi.org/10.1016/j.jenvp.2015.11.007
Article
Google Scholar
Williams H, Wikström F, Otterbringb T, Löfgren M, Gustafsson A (2012) Reasons for household food waste with special attention to packaging. J Clean Prod 24(1):141–148. https://doi.org/10.1016/j.jclepro.2011.11.044
Article
Google Scholar
Wong KKK (2013) Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Mark Bull 24(1):1–3
Google Scholar
Zhang M, Gao M, Yue S, Zheng T, Gao Z, Ma X, Wang Q (2018) Global trends and future prospects of food waste research: a bibliometric analysis. Environ Sci Pollut Res 25:24600–24610. https://doi.org/10.1007/s11356-018-2598-6
Article
Google Scholar