{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T10:09:06Z","timestamp":1783159746910,"version":"3.54.6"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T00:00:00Z","timestamp":1657152000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T00:00:00Z","timestamp":1657152000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s10479-022-04817-x","type":"journal-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T05:02:50Z","timestamp":1657170170000},"page":"779-794","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Supply chains and fake news: a novel input\u2013output neural network approach for the US food sector"],"prefix":"10.1007","volume":"327","author":[{"given":"Konstantinos N.","family":"Konstantakis","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Panagiotis T.","family":"Cheilas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ioannis G.","family":"Melissaropoulos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Panos","family":"Xidonas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6837-332X","authenticated-orcid":false,"given":"Panayotis G.","family":"Michaelides","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"key":"4817_CR1","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/S0306-9192(99)00034-2","volume":"24","author":"P Abott","year":"1999","unstructured":"Abott, P. (1999). Agricultural commodity production and trade: A trade economist\u2019s view on filling US food supply gaps. Food Policy, 24, 181\u2013195.","journal-title":"Food Policy"},{"key":"4817_CR5","unstructured":"Azzam A. M., Lopez, E., & Lopez, R. (2002). \u2018Imperfect competition and total factor productivity growth in U.S. food processing. Food Marketing Policy Center Research Report No. 68."},{"key":"4817_CR7","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1007\/s41870-020-00581-y","volume":"14","author":"S Balamurugan","year":"2022","unstructured":"Balamurugan, S., Ayyasamy, A., & Joseph, K. S. (2022). m IoT-Blockchain driven traceability techniques for improved safety measures in food supply chain. International Journal of Information Technology, 14, 1087\u20131098. https:\/\/doi.org\/10.1007\/s41870-020-00581-y","journal-title":"International Journal of Information Technology"},{"issue":"2","key":"4817_CR12","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1111\/1368-423X.t01-1-00113","volume":"6","author":"AP Blake","year":"2003","unstructured":"Blake, A. P., & Kapetanios, G. (2003). A radial basis function artificial neural network test for neglected nonlinearity. The Econometrics Journal, 6(2), 357\u2013373.","journal-title":"The Econometrics Journal"},{"key":"4817_CR16","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1016\/j.foodpol.2012.06.002","volume":"37","author":"CJ Buzby","year":"2012","unstructured":"Buzby, C. J., & Hyman, J. (2012). Total and per capita value of food loss in the United States. Food Policy, 37, 561\u2013570.","journal-title":"Food Policy"},{"key":"4817_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-021-04307-6","author":"A Chaudhuri","year":"2021","unstructured":"Chaudhuri, A., Bhatia, M. S., & Kayikci, Y. (2021). Improving social sustainability and reducing supply chain risks through blockchain implementation: Role of outcome and behavioural mechanisms. Annals of Operations Research. https:\/\/doi.org\/10.1007\/s10479-021-04307-6","journal-title":"Annals of Operations Research"},{"issue":"2","key":"4817_CR21","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1108\/JPBM-12-2018-2145","volume":"29","author":"Z Chen","year":"2019","unstructured":"Chen, Z., & Cheng, Y. (2019). Consumer response to fake news about brands on social media: The effects of self-efficacy, media trust, and persuasion knowledge on brand trust. Journal of Product & Brand Management, 29(2), 188\u2013198.","journal-title":"Journal of Product & Brand Management"},{"key":"4817_CR26","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1080\/01621459.1971.10482227","volume":"66","author":"FT Denton","year":"1971","unstructured":"Denton, F. T. (1971). Adjustment of monthly or quarterly series to annual totals: An approach based on quadratic minimization. Journal of the American Statistical Association, 66, 99\u2013102.","journal-title":"Journal of the American Statistical Association"},{"issue":"3","key":"4817_CR37","doi-asserted-by":"publisher","first-page":"47","DOI":"10.21018\/rjcpr.2021.3.333","volume":"23","author":"G-I F\u00e2rte","year":"2021","unstructured":"F\u00e2rte, G.-I., & Obad\u00e3, D.-R. (2021). The effects of fake news on consumers\u2019 brand trust: An exploratory study in the food security context. Romanian Journal of Communication and Public Relations, 23(3), 47\u201361.","journal-title":"Romanian Journal of Communication and Public Relations"},{"key":"4817_CR43","doi-asserted-by":"crossref","unstructured":"Geylani P. C., & Stefanou S. (2008). Linking investment spikes and productivity growth: U.S. food manufacturing industry. Discussion Papers, Center of Economic Studies, Bureau of the Census.","DOI":"10.2139\/ssrn.1285592"},{"key":"4817_CR44","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/s10479-021-04257-z","volume":"307","author":"BC Giri","year":"2021","unstructured":"Giri, B. C., Majhi, J. K., & Bardhan, S. (2021). Coordinating a three-level supply chain with effort and price dependent stochastic demand under random yield. Annals of Operations Research, Springer, 307, 175\u2013206.","journal-title":"Annals of Operations Research, Springer"},{"issue":"2","key":"4817_CR45","first-page":"539","volume":"27","author":"M Gopinath","year":"2002","unstructured":"Gopinath, M., & Carver, J. (2002). Total factor productivity and processed food trade: A cross country analysis. Journal of Agricultural and Resource Economics, 27(2), 539\u2013553.","journal-title":"Journal of Agricultural and Resource Economics"},{"issue":"4","key":"4817_CR49","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1057\/jors.2015.88","volume":"67","author":"S Gumus","year":"2016","unstructured":"Gumus, S., Egilmez, G., Kucukvar, M., & Park, Y. S. (2016). Integrating expert weighting and multi-criteria decision making into eco-efficiency analysis: The case of US manufacturing. Journal of the Operational Research Society, 67(4), 616\u2013628.","journal-title":"Journal of the Operational Research Society"},{"key":"4817_CR50","volume-title":"Neural networks","author":"S Haykin","year":"1999","unstructured":"Haykin, S. (1999). Neural networks. Prentice-Hall."},{"key":"4817_CR51","doi-asserted-by":"crossref","unstructured":"Heien D. (1983). Productivity in U.S. food processing and distribution. American Journal of Agricultural Economics, pp. 297\u2013302.","DOI":"10.2307\/1240877"},{"key":"4817_CR500","doi-asserted-by":"publisher","unstructured":"Hossain, F., Jain, R., & Govindasamy, R. (2005). Financial structure, production, and productivity: evidence from the U.S. food manufacturing industry. Agricultural Economics, 33(s3), 399\u2013410. https:\/\/doi.org\/10.1111\/j.1574-0864.2005.00080.x","DOI":"10.1111\/j.1574-0864.2005.00080.x"},{"key":"4817_CR55","unstructured":"Huang K. (2003). Food manufacturing productivity and its economic implications. United States Department of Agriculture, Technical Bulletin 1905."},{"issue":"3","key":"4817_CR57","first-page":"504","volume":"9","author":"R Ismail","year":"2009","unstructured":"Ismail, R. (2009). Technical efficiency, technical change and demand for skills in Malaysian food-based industry. European Journal of Social Sciences, 9(3), 504\u2013515.","journal-title":"European Journal of Social Sciences"},{"key":"4817_CR64","unstructured":"Kaltsas I. K., & Beamer B. G. (1999), Drawing the profile of efficient food industries-vertical integration, economies of scale and location advantages in the distribution of products: A case study from the Greek food industry. Journal of Food Distribution Research, 30(1)."},{"issue":"6","key":"4817_CR65","doi-asserted-by":"publisher","first-page":"2175","DOI":"10.1002\/jsfa.10883","volume":"101","author":"P Katsikouli","year":"2020","unstructured":"Katsikouli, P., Wilde, A. S., Dragoni, N., & H\u00f8gh-Jensen, H. (2020). On the benefits and challenges of blockchains for managing food supply chains. Journal of the Science of Food and Agriculture, 101(6), 2175\u20132181.","journal-title":"Journal of the Science of Food and Agriculture"},{"key":"4817_CR69","doi-asserted-by":"crossref","unstructured":"Khadir, M. T. (2021). Artificial neural networks in food processing\u2014Modeling and predictive control, De Gruyter.","DOI":"10.1515\/9783110646054"},{"key":"4817_CR73","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/BF03396873","volume":"67","author":"N Koschate-Fischer","year":"2015","unstructured":"Koschate-Fischer, N., & Gartner, S. (2015). Brand trust: Scale development and validation. Schmalenbach Business Review, 67, 171\u2013195.","journal-title":"Schmalenbach Business Review"},{"key":"4817_CR74","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2021.102376","volume":"60","author":"N Kshetri","year":"2021","unstructured":"Kshetri, N. (2021). Blockchain and sustainable supply chain management in developing countries. International Journal of Information Management, 60, 102376.","journal-title":"International Journal of Information Management"},{"key":"4817_CR75","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/07474939408800273","volume":"13","author":"CM Kuan","year":"1994","unstructured":"Kuan, C. M., & White, H. (1994). Artificial neural networks: An econometric perspective. Econometric Reviews, 13, 1\u201391.","journal-title":"Econometric Reviews"},{"key":"4817_CR81","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2021.105083","volume":"143","author":"S Li","year":"2021","unstructured":"Li, S., Cai, X., Emaminejad, S. A., Juneja, A., Niroula, S., Oh, S., & Singh, V. (2021). Developing an integrated technology-environment-economics model to simulate food-energy-water systems in Corn Belt watersheds. Environmental Modelling & Software, 143, 105083.","journal-title":"Environmental Modelling & Software"},{"key":"4817_CR82","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-021-04213-x","author":"Y Liu","year":"2021","unstructured":"Liu, Y., Ren, W., & Xu, Q. (2021). Decision analysis of supply chains considering corporate social responsibility and government subsidy under different channel power structures. Annals of Operations Research. https:\/\/doi.org\/10.1007\/s10479-021-04213-x","journal-title":"Annals of Operations Research"},{"key":"4817_CR84","unstructured":"Lundqvist, J., de Fraiture, C., & Molden, D. (2008). Saving water: From field to fork\u2014Curbing losses and wastage in the food chain. SIWI Policy Brief."},{"key":"4817_CR85","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.foodpol.2011.11.001","volume":"37","author":"JT Lybbert","year":"2012","unstructured":"Lybbert, J. T., & Sumner, A. D. (2012). Agricultural technologies for climate change in developing countries: Policy options for innovation and technology diffusion. Food Policy, 37, 114\u2013123.","journal-title":"Food Policy"},{"key":"4817_CR89","first-page":"15","volume":"43","author":"PG Michaelides","year":"2018","unstructured":"Michaelides, P. G., Tsionas, E. G., & Konstantakis, K. (2018). Debt dynamics in Europe: A network general equilibrium GVAR approach. Journal of Economic Dynamics and Control, 43, 15\u201326.","journal-title":"Journal of Economic Dynamics and Control"},{"issue":"2","key":"4817_CR90","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1016\/j.ejor.2010.02.013","volume":"206","author":"P Michaelides","year":"2010","unstructured":"Michaelides, P., Tsionas, E. G., & Vouldis, A. (2010). Globally flexible functional forms: The neural output distance function. European Journal of Operational Research, 206(2), 456\u2013469.","journal-title":"European Journal of Operational Research"},{"key":"4817_CR91","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.ejor.2014.08.028","volume":"241","author":"P Michaelides","year":"2015","unstructured":"Michaelides, P., Tsionas, E. G., Vouldis, A., & Konstantakis, K. (2015). Global approximation to arbitrary cost functions: A Bayesian approach with application to US banking. European Journal of Operational Research, 241, 148\u2013160.","journal-title":"European Journal of Operational Research"},{"key":"4817_CR93","unstructured":"Morrison, C., & Siegel, D. (1997). Automation or openness? Technology and Trade impacts on costs and labor composition in the food system. In Proceedings of NE\u2014165 Conference June 20\u201321, 1996, Washington D.C."},{"issue":"1","key":"4817_CR95","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1111\/j.1477-9552.1999.tb00795.x","volume":"50","author":"C Morrison","year":"1999","unstructured":"Morrison, C. (1999). Scale effects and mark-ups in the U.S. food and fiber industries: Capital investment and import penetration impacts. Journal of Agricultural Economics, 50(1), 64\u201382.","journal-title":"Journal of Agricultural Economics"},{"key":"4817_CR96","unstructured":"Nash, S. K. (2018). Walmart-led blockchain effort seeks farm-to-grocery-aisle view of food supply chain."},{"key":"4817_CR98","volume-title":"The environmental food crisis: the environment\u2019s role in averting future food crisis, United Nations Environment Programme (UNEP)","author":"C Nellemann","year":"2009","unstructured":"Nellemann, C., MacDevette, M., Manders, T., Eickhout, B., Svihus, B., Prins, A. G., & Kaltenborn, B. P. (2009). The environmental food crisis: the environment\u2019s role in averting future food crisis, United Nations Environment Programme (UNEP)."},{"key":"4817_CR100","doi-asserted-by":"publisher","first-page":"1463","DOI":"10.1007\/s13042-019-01050-0","volume":"11","author":"D Ni","year":"2019","unstructured":"Ni, D., Xiao, Z., & Lim, M. K. (2019). A systematic review of the research trends of machine learning in supply chain management. International Journal of Machine Learning and Cybernetics, 11, 1463\u20131482.","journal-title":"International Journal of Machine Learning and Cybernetics"},{"issue":"1","key":"4817_CR104","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/S0165-1765(97)00214-0","volume":"58","author":"HH Pesaran","year":"1998","unstructured":"Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58(1), 17\u201329.","journal-title":"Economics Letters"},{"key":"4817_CR105","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1198\/073500104000000019","volume":"22","author":"MH Pesaran","year":"2004","unstructured":"Pesaran, M. H., Schuermann, T., & Weiner, S. M. (2004). Modelling regional interdependencies using a global error-correcting macro-econometric model. Journal of Business and Economics Statistics, 22, 129\u2013162.","journal-title":"Journal of Business and Economics Statistics"},{"key":"4817_CR111","doi-asserted-by":"crossref","unstructured":"Rogers R. (2001). Structural change in U.S. food manufacturing, 1958\u20131997. Agribusiness, 17(1), 3\u201332.","DOI":"10.1002\/1520-6297(200124)17:1<3::AID-AGR1001>3.0.CO;2-1"},{"key":"4817_CR115","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-021-04505-2","author":"C Sheshadri","year":"2021","unstructured":"Sheshadri, C., Chaudhuri, R., Papadopoulos, T., & Vrontis, D. (2021). Examining the impact of deep learning technology capability on manufacturing firms: Moderating roles of technology turbulence and top managementsupport. Annals of Operations Research. https:\/\/doi.org\/10.1007\/s10479-021-04505-2","journal-title":"Annals of Operations Research"},{"issue":"8","key":"4817_CR119","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1108\/00070700210425967","volume":"104","author":"V Tzouvelekas","year":"2002","unstructured":"Tzouvelekas, V., Pantzios, C., & Fotopoulos, C. (2002). Measuring multiple and single factor technical efficiency in organic farming, the case of Greek wheat farms. British Food Journal, 104(8), 591\u2013609.","journal-title":"British Food Journal"},{"key":"4817_CR121","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1007\/s10479-012-1213-3","volume":"201","author":"KJ Wang","year":"2012","unstructured":"Wang, K. J., & Lin, Y. S. (2012). Optimal inventory replenishment strategy for deteriorating items in a demand-declining market with the retailer\u2019s price manipulation. Annals of Operations Research, 201, 475\u2013494.","journal-title":"Annals of Operations Research"},{"key":"4817_CR122","first-page":"601","volume":"4","author":"\u0392 Wansink","year":"2006","unstructured":"Wansink, \u0392. (2006). Position of the American dietetic association: Food and nutrition misinformation. Journal of American Dietetic Association, 4, 601\u2013607.","journal-title":"Journal of American Dietetic Association"},{"key":"4817_CR126","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/s10479-018-2964-2","volume":"290","author":"J Wu","year":"2020","unstructured":"Wu, J., Chen, Z., & Ji, X. (2020). Sustainable trade promotion decisions under demand disruption in manufacturer-retailer supply chains. Annals of Operations Research, 290, 115\u2013143.","journal-title":"Annals of Operations Research"},{"key":"4817_CR127","first-page":"1","volume":"7","author":"Y Yun","year":"2020","unstructured":"Yun, Y. (2020). The influence of blockchain technology on fraud and fake protection. OUR Journal, 7, 1\u201313.","journal-title":"OUR Journal"},{"key":"4817_CR129","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s10479-017-2717-7","volume":"264","author":"D Zhao","year":"2018","unstructured":"Zhao, D., & Li, Z. (2018). The impact of manufacturer\u2019s encroachment and nonlinear production cost on retailer\u2019s information sharing decisions. Annals of Operations Research, 264, 499\u2013539.","journal-title":"Annals of Operations Research"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-022-04817-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-022-04817-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-022-04817-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T08:11:14Z","timestamp":1700813474000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-022-04817-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,7]]},"references-count":46,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["4817"],"URL":"https:\/\/doi.org\/10.1007\/s10479-022-04817-x","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,7]]},"assertion":[{"value":"6 June 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 July 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}