Big Data in Food: Systematic Literature Review and Future Directions

References

• Gandomi A, Haider M. Beyond the hype: big data concepts, methods, and analytics. Int J Inf Manage. 2015 Apr;35(2):137–44. doi:10.1016/j.ijinfomgt.2014.10.007.
   Web of Science ®Google Scholar
• Kamioka T, Luo X, Tapanainen T. An empirical investigation of data governance: the role of accountabilities. In: Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings, Taiwan. 2016.
   Google Scholar
• Liu P, Long Y, Song HC, He YD. Investment decision and coordination of green agri-food supply chain considering information service based on blockchain and big data. J Clean Prod. 2020 Dec;277:123646. doi:10.1016/j.jclepro.2020.123646.
   Web of Science ®Google Scholar
• Sun S, Cegielski CG, Jia L, Hall DJ. Understanding the factors affecting the organizational adoption of big data. J Comput Inf Syst. 2018 Jul 3;58(3):193–203. doi:10.1080/08874417.2016.1222891.
   Web of Science ®Google Scholar
• Choudhury A. Big data analytics services are helping food industry companies to achieve millions in operational cost savings – a study by quantzig. 2019. https://www.businesswire.com/news/home/20190109005531/en/Big-Data-Analytics-Services-Are-Helping-Food-Industry-Companies-to-Achieve-Millions-in-Operational-Cost-Savings-%25E2%2580%2593-A-Study-by-Quantzig. Accessed 2022 Jan 05.
   Google Scholar
• Edu AS. Positioning big data analytics capabilities towards financial service agility. Aslib J Inf Manag. 2022 Jun 10;74(4):569–88. doi:10.1108/AJIM-08-2021-0240.
   Web of Science ®Google Scholar
• Kwon O, Lee N, Shin B. Data quality management, data usage experience and acquisition intention of big data analytics. Int J Inf Manage. 2014 Jun;34(3):387–94. doi:10.1016/j.ijinfomgt.2014.02.002.
   Web of Science ®Google Scholar
• Huang L, Zhou J, Lin J, Deng S. View analysis of personal information leakage and privacy protection in big data era—based on Q method. Aslib J Inf Manag. 2021 Sep 5;74(5):901–27. doi:10.1108/AJIM-05-2021-0144.
   Web of Science ®Google Scholar
• Shin DH. Demystifying big data: anatomy of big data developmental process. Telecomm Policy. 2016 Sep;40(9):837–54. doi:10.1016/j.telpol.2015.03.007.
   Web of Science ®Google Scholar
• Borra E, Rieder B, Axel Bruns D andDr Katrin Weller. Programmed method: developing a toolset for capturing and analyzing tweets. Aslib J Inf Manag. 2014 May 19;66(3):262–78. doi:10.1108/AJIM-09-2013-0094.
   Web of Science ®Google Scholar
• Park JH, Kim YB. Factors activating big data adoption by Korean firms. J Comput Inf Syst. 2021 May 4;61(3):285–93. doi:10.1080/08874417.2019.1631133.
   Web of Science ®Google Scholar
• Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Hung Byers A. Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute. 2011.
   Google Scholar
• Muhammad SS, Dey BL, Weerakkody V. Analysis of factors that influence customers’ Willingness to leave big data digital footprints on social media: a systematic review of literature. Inf Syst Front. 2018 Jun 15;20(3):559–76. doi:10.1007/s10796-017-9802-y.
   Web of Science ®Google Scholar
• Mangla SK, Raut R, Narwane VS, Zhang Z, Priyadarshinee P. Mediating effect of big data analytics on project performance of small and medium enterprises. J Enterp Inf Manag. 2020 Jan 28;34(1):168–98. doi:10.1108/JEIM-12-2019-0394.
   Web of Science ®Google Scholar
• Singh A, Kumari S, Malekpoor H, Mishra N. Big data cloud computing framework for low carbon supplier selection in the beef supply chain. J Clean Prod. 2018 Nov;202:139–49. doi:10.1016/j.jclepro.2018.07.236.
   Web of Science ®Google Scholar
• Feng H, Wang X, Duan Y, Zhang J, Zhang X. Applying blockchain technology to improve agri-food traceability: a review of development methods, benefits and challenges. J Clean Prod. 2020 Jul;260:121031. doi:10.1016/j.jclepro.2020.121031.
   Web of Science ®Google Scholar
• Klievink B, Romijn BJ, Cunningham S, de Bruijn H. Big data in the public sector: uncertainties and readiness. Inf Syst Front. 2017 Apr 15;19(2):267–83. doi:10.1007/s10796-016-9686-2.
   Web of Science ®Google Scholar
• Wahyudi A, Kuk G, Janssen M. A process pattern model for tackling and improving big data quality. Inf Syst Front. 2018 Jun 25;20(3):457–69. doi:10.1007/s10796-017-9822-7.
   Web of Science ®Google Scholar
• Low C, Chen Y, Wu M. Understanding the determinants of cloud computing adoption. Ind Manag Data Syst. 2011 Aug 23;111(7):1006–23. doi:10.1108/02635571111161262.
   Web of Science ®Google Scholar
• Mahrt M, Scharkow M. The value of big data in digital media research. J Broadcast Electron Media. 2013 Jan;57(1):20–33. doi:10.1080/08838151.2012.761700.
   Web of Science ®Google Scholar
• Orciari M. Food company computer games increase junk food consumption 2012. https://news.yale.edu/2012/01/09/food-company-computer-games-increase-junk-food-consumption. Accessed 2022 Jan 06.
   Google Scholar
• Montgomery KC, Chester J, Grier SA, Dorfman L. The new threat of digital marketing. Pediatr Clin North Am. 2012 Jun;59(3):659–75. doi:10.1016/j.pcl.2012.03.022.
   PubMed Web of Science ®Google Scholar
• Lokers R, Knapen R, Janssen S, van Randen Y, Jansen J. Analysis of big data technologies for use in agro-environmental science. Environ Model Softw. 2016 Oct;84:494–504. doi:10.1016/j.envsoft.2016.07.017.
   Web of Science ®Google Scholar
• Parris DL, Peachey JW. A systematic literature review of servant leadership theory in organizational contexts. J Bus Ethics. 2013 Mar 22;113(3):377–93. doi:10.1007/s10551-012-1322-6.
   Web of Science ®Google Scholar
• Piper RJ. How to write a systematic literature review: a guide for medical students. Natl AMR. Internet]. 2013;1(2):1–8. Available from; http://cures.cardiff.ac.uk/files/2014/10/NSAMR-Systematic-Review.pdf%0Acures.cardiff.ac.uk/files/2014/…/NSAMR-Systematic-Review.pdf. Accessed 2022 Jan 10.
   Google Scholar
• OECD/FAO. Food security and nutrition. OECD. 2018. doi:10.1787/9789264183780-en.
   Google Scholar
• Gladek E, Roemers G, Muños OS, Kennedy E, Fraser M, Hirsh P. The global food systems: an analysis. 2017. Accessed 2022 Jan 7. https://www.metabolic.nl/publication/global-food-system-an-analysis/
   Google Scholar
• FAO. Food outlook – biannual report on global food markets. FAO. 2020. doi:10.4060/ca9509en.
   Google Scholar
• Vågsholm I, Arzoomand NS, Boqvist S. Food security, safety, and sustainability—getting the trade-offs right. Front Sustain Food Syst. 2020 Feb 21;4. doi:10.3389/fsufs.2020.00016.
   Google Scholar
• Jin C, Bouzembrak Y, Zhou J, Liang Q, van den Bulk LM, Gavai A, Liu N, van den Heuvel LJ, Hoenderdaal W, Marvin HJP, et al. Big data in food safety- A review. Curr Opin Food Sci. 2020 Dec;36:24–32. doi:10.1016/j.cofs.2020.11.006.
   Web of Science ®Google Scholar
• White M. Digital workplaces: vision and reality. Bus Inf Rev. 2012;29(4):205–14. Internet]. Available from. doi:10.1177/0266382112470412.
   Google Scholar
• Gantz J, Reinsel D The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east. IDC iView: IDC Analyze the Future. 2012 Dec 29;2007(2012): 1–6.
   Google Scholar
• Agarwal R, Weill P. The benefits of combining data with empathy. MIT Sloan Manag Rev. 2012;54:35–41.
   Web of Science ®Google Scholar
• Akter S, Wamba SF. Big data analytics in E-commerce: a systematic review and agenda for future research. Electron Mark. 2016 May 16;26(2):173–94. doi:10.1007/s12525-016-0219-0.
   Web of Science ®Google Scholar
• Soon JM. Consumers’ awareness and trust toward food safety news on social media in Malaysia. J Food Prot. 2020 Mar 1;83(3):452–59. doi:10.4315/0362-028X.JFP-19-415.
   PubMed Web of Science ®Google Scholar
• Tranfield D, Denyer D, Smart P. Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br J Manag. 2003 Sep;14(3):207–22. doi:10.1111/1467-8551.00375.
   Web of Science ®Google Scholar
• Chadegani A, Salehi H, Yunus M, Farhadi H, Fooladi M, Farhadi M, Ebrahim N. A comparison between two main academic literature collections: web of science and Scopus databases. Asian Soc Sci. 2013 Apr 27;9(5). doi:10.5539/ass.v9n5p18.
   Google Scholar
• Mongeon P, Paul-Hus A. The journal coverage of web of science and Scopus: a comparative analysis. Scientometrics. 2016;106(1):213–28. doi:10.1007/s11192-015-1765-5.
   Web of Science ®Google Scholar
• Ouhbi S, Idri A, Ferńandez-Alemán JL, Toval A. Predicting software product quality: a systematic mapping study. Comput y Sist. 2015 Oct 4;19(3):547–62. doi:10.13053/CyS-19-3-1960.
   Google Scholar
• Nelson G, Dummer PD, Nelson GW, Kopp JB, Winkler CA. Supporting profitability with climate-smart agriculture. Kidney International. 2015 Feb;88(1459–2016–120532):28. http://ageconsearch.umn.edu/record/205019.
   PubMedGoogle Scholar
• Wang J, Yue H. Food safety pre-warning system based on data mining for a sustainable food supply chain. Food Control. 2017 Mar;73:223–29. doi:10.1016/j.foodcont.2016.09.048.
   Web of Science ®Google Scholar
• Zhao S, Yang X. Food safety risk assessment in whole food supply chain based on catastrophe model. Adv J Food Sci Technol. 2013 Dec 5;5(12):1557–60. doi:10.19026/ajfst.5.3384.
   Google Scholar
• Nelson RJ, Gubernick DJ, Blom JMC. Influence of photoperiod, green food, and water availability on reproduction in male California mice (Peromyscus californicus). Physiol Behav. 1995 Jun;57(6):1175–80. doi:10.1016/0031-9384(94)00380-N.
   PubMed Web of Science ®Google Scholar
• Hong Y, Zhang M, Meeker WQ. Big data and reliability applications: the complexity dimension. J Qual Technol. 2018 Apr 3;50(2):135–49. doi:10.1080/00224065.2018.1438007.
   Web of Science ®Google Scholar
• Kong F, He H, Raynor HA, Tan J. DietCam: multi-view regular shape food recognition with a camera phone. Pervasive Mob Comput. 2015 May;19:108–21. doi:10.1016/j.pmcj.2014.05.012.
   Web of Science ®Google Scholar
• Halloran A, Clement J, Kornum N, Bucatariu C, Magid J. Addressing food waste reduction in Denmark. Food Policy. 2014 Dec;49(P1):294–301. doi:10.1016/j.foodpol.2014.09.005.
   Google Scholar
• Abul Basher S, Raboy D, Kaitibie S, Hossain I. Understanding challenges to food security in dry Arab micro-states: evidence from Qatari micro-data. J Agric Food Ind Organ. 2013 Jan 22;11(1). doi:10.1515/jafio-2012-0012.
   Google Scholar
• Dawson TP, Jackson ST, House JI, Prentice IC, Mace GM. Beyond predictions: biodiversity conservation in a changing climate. Science (80-). 2011 Apr;332(6025):53–58. doi:10.1126/science.1200303.
   PubMed Web of Science ®Google Scholar
• Eastwood C, Klerkx L, Nettle R. Dynamics and distribution of public and private research and extension roles for technological innovation and diffusion: case studies of the implementation and adaptation of precision farming technologies. J Rural Stud. 2017 Jan;49:1–12. doi:10.1016/j.jrurstud.2016.11.008.
   Web of Science ®Google Scholar
• Mayer-Schönberger V, Cukier K. Big data for development: challenges & opportunities 2013. https://unstats.un.org/unsd/trade/events/2014/beijing/documents/globalpulse/Big%20Data%20for%20Development%20-%20UN%20Global%20Pulse%20-%20June2012.pdf.
   Google Scholar
• Misra NN, Dixit Y, Al-Mallahi A, Bhullar MS, Upadhyay R, Martynenko AI. Big data, and artificial intelligence in agriculture and food industry. IEEE Internet Things J. 2022 May 1;9(9):6305–24. doi:10.1109/JIOT.2020.2998584.
   Web of Science ®Google Scholar
• Deni W, Deni W, Sasmita A. Analysis and implementation fuzzy multi-attribute decision making SAW method for selection of high achieving students in faculty level. Int J Comput Sci Issues. 2013 Jan;10(1):674–80.
   Google Scholar
• Melia Y. Multi attribute decision making using simple additive weighting and weighted product in investment introduction. Int Acad J Bus Manag. 2016;3:4–5.
   Google Scholar
• Tao D, Yang P, Feng H. Utilization of text mining as a big data analysis tool for food science and nutrition. Compr Rev Food Sci Food Saf. 2020 Mar 16;19(2):875–94. doi:10.1111/1541-4337.12540.
   PubMed Web of Science ®Google Scholar
• Iyamu T, Mgudlwa S. Transformation of healthcare big data through the lens of actor network theory. Int J Healthc Manag. 2018 Jul 3;11(3):182–92. doi:10.1080/20479700.2017.1397340.
   Web of Science ®Google Scholar
• Callon M. Actor-Network Theory—The Market Test. Sociol Rev. 1999 May 9;47(1_suppl):181–95. doi:10.1111/j.1467-954x.1999.tb03488.x.
   Google Scholar
• de Camargo Fiorini P, Roman Pais Seles BM, Chiappetta Jabbour CJ, Barberio Mariano E, de Sousa Jabbour ABL. Management theory and big data literature: from a review to a research agenda. Int J Inf Manage Internet]. 2018;43:112–29. accessed 2022 Jan 16. Available from; doi:10.1016/j.ijinfomgt.2018.07.005.
   Web of Science ®Google Scholar
• Barney JB. The emergence of resource-based theory: a personal journey. J Manage. 2021 Sep 24;47(7):1663–76. doi:10.1177/01492063211015272.
   Web of Science ®Google Scholar
• Wernerfelt B. A resource‐based view of the firm. Strateg Manag J. 1984 Apr;5(2):171–80. doi:10.1002/smj.4250050207.
   Web of Science ®Google Scholar
• O’Connor C, Kelly S. Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food sector. J Knowl Manag. 2017 Feb 13;21(1):156–79. doi:10.1108/JKM-08-2016-0357.
   Web of Science ®Google Scholar
• Frelat R, Lopez-Ridaura S, Giller KE, Herrero M, Douxchamps S, Djurfeldt AA, Erenstein, O, Henderson, B, Kassie M, Paul BK, Rigolot C. Drivers of household food availability in sub-Saharan Africa based on big data from small farms. Proc Natl Acad Sci. 2016 Jan 12;113(2):458–63. doi:10.1073/pnas.1518384112.
   PubMed Web of Science ®Google Scholar
• Marvin HJP, Janssen EM, Bouzembrak Y, Hendriksen PJM, Staats M. Big data in food safety: an overview. Crit Rev Food Sci Nutr. 2017 Jul 24;57(11):2286–95. doi:10.1080/10408398.2016.1257481.
   PubMed Web of Science ®Google Scholar
• Irani Z, Sharif AM, Lee H, Aktas E, Topaloğlu Z, Van’t Wout T, Huda S. Managing food security through food waste and loss: small data to big data. Comput Oper Res. 2018 Oct;98:367–83. doi:10.1016/j.cor.2017.10.007.
   Web of Science ®Google Scholar
• Chen K, Tan H, Gao J, Lu Y. Big data based design of food safety cloud platform. Appl Mech Mater. 2014 Apr;536–537:583–87. doi:10.4028/scientific.net/AMM.536-537.583.
   Google Scholar
• Carolan M. Publicising food: big data, precision agriculture, and co‐experimental techniques of addition. Sociol Ruralis. 2017 Apr;57(2):135–54. doi:10.1111/soru.12120.
   Web of Science ®Google Scholar
• Armbruster W, MacDonell M. Big data for big problems-climate change, Water availability, and food safety. 2015 Sep;190–196. doi:10.2991/ict4s-env-15.2015.22.
   Google Scholar
• Alotaik O, Chellappa VS, Steadman S, Kumara S. Little data, big data, and food insecurity: an integrated approach. In: IIE Annual Conference Proceedings. Norcross. Institute of Industrial and Systems Engineers (IISE); 2017. p. 1490–95.
   Google Scholar
• Sharma R, Parhi S. A review on use of big data in warehousing to enhance accessibility of food. In: Proceedings of the 2nd International Conference on Communication and Electronics Systems, ICCES 2017. Coimbatore IEEE; 2018. p. 663–67. doi:10.1109/CESYS.2017.8321162
   Google Scholar
• Carolan M. Big data and food retail: nudging out citizens by creating dependent consumers. Geoforum. 2018 Mar;90:142–50. doi:10.1016/j.geoforum.2018.02.006.
   Web of Science ®Google Scholar
• Liu G, Li G, Yang R, Guo L. Improving food safety in supply chain based on big data. E3S Web Conf. 2018 Sep 14;53:03084. doi:10.1051/e3sconf/20185303084.
   Google Scholar
• Mihuandayani, Ramandita HD, Setyanto A, Sumafta IB. Food trend based on social media for big data analysis using K-mean clustering and SAW: a case study on yogyakarta culinary industry. In: 2018 International Conference on Information and Communications Technology, ICOIACT 2018. Yogyakarta IEEE; 2018. p. 549–54. doi:10.1109/ICOIACT.2018.8350805
   Google Scholar
• Protopop I, Shanoyan A. Big data and smallholder farmers: big data applications in the agri-food supply chain in developing countries. Int Food Agribus Manag Rev. Internet]. 2016 Jun;19(1030–2016–83148):173–90. Available from: http://doi.org/10.22004/ag.econ.240705
   Google Scholar
• YANG J-L, H-P HOU, ZHANG J, XU N, B-W QIN. Cold-chain logistics big data problems based on food safety research. DEStech Trans Soc Sci Educ Hum Sci. 2018 Mar 2. icssd. doi:10.12783/dtssehs/icssd2017/19225.
   Google Scholar
• Freidberg S. Big food and little data: the slow harvest of corporate food supply chain sustainability initiatives. Ann Am Assoc Geogr. 2017 Nov 2;107(6):1389–406. doi:10.1080/24694452.2017.1309967.
   Web of Science ®Google Scholar
• Montgomery K, Chester J, Nixon L, Levy L, Dorfman L. Big data and the transformation of food and beverage marketing: undermining efforts to reduce obesity? Crit Public Health. 2019 Jan 26;29(1):110–17. doi:10.1080/09581596.2017.1392483.
   Web of Science ®Google Scholar
• Navickas V, Gružauskas V. Big data concept in the food supply chain: small markets case. Sci Ann Econ Bus. 2016;63(1):15–28. doi:10.1515/saeb-2016-0102.
   Google Scholar
• Su S, Li Z, Xu M, Cai Z, Weng M. A geo-big data approach to intra-urban food deserts: transit-varying accessibility, social inequalities, and implications for urban planning. Habitat Int. 2017 Jun;64:22–40. doi:10.1016/j.habitatint.2017.04.007.
   Web of Science ®Google Scholar
• Wang Y, Yang B, Luo Y, He J, Tan H. The application of big data mining in risk warning for food safety. Asian Agric Res. Internet]. 2015;7(8):83–86. Accessed 2022 Jan 18. Available from; http://ageconsearch.umn.edu/record/210801.
   Google Scholar
• Kim S-J, Eun H-J, Kim Y-S. Food recommendation system using big data based on scoring taste adjectives. Int J U- E- Serv Sci Technol. 2016 Jan 31;9(1):39–52. doi:10.14257/ijunesst.2016.9.1.05.
   Google Scholar
• Dubé L, Du P, McRae C, Sharma N, Jayaraman S, Nie J-Y. Convergent innovation in food through big data and artificial intelligence for societal-scale inclusive growth. Technol Innov Manag Rev. Internet]. 2018 Sep;8(2):49–65. Available from. doi:10.22215/timreview/1139.
   Web of Science ®Google Scholar
• Lusk JL. Consumer research with big data: applications from the food demand survey (foods). Am J Agric Econ. 2017 Mar 2;99(2):303–20. doi:10.1093/ajae/aaw110.
   Web of Science ®Google Scholar
• Dubé L, Labban A, Moubarac J-C, Heslop G, Ma Y, Paquet C. A nutrition/health mindset on commercial big data and drivers of food demand in modern and traditional systems. Ann N Y Acad Sci. 2014 Dec;1331(1):278–95. doi:10.1111/nyas.12595.
   PubMedGoogle Scholar
• Mary Clare A, Young R. Big data’s potential to improve food supply chain environmental sustainability and food safety. Int Food Agribus Manag Rev. 2016;19:155–71.
   Web of Science ®Google Scholar
• Evans B. Using big data to achieve food security. In Bunnik, A., Cawley, A., Mulqueen, M. & Zwitter, A. (eds.), Big Data Challenges. London: Palgrave Macmillan UK; 2016. p. 127–35. doi:10.1057/978-1-349-94885-7_11.
   Google Scholar
• Chitlapilly Dass S, Anandappa A. Food factory genomics: where big data drives quality and food safety. Food Prot Trends. 2017 Sep;37(5):368–74.
   Google Scholar
• Li S, Tan F, Liu J, Cheng S, Liu H, Keith W, Dong X. An outline of big data emerging from food supply chain and potential value in food management. In: Proceedings of the 2016 International Conference on Computer Science and Electronic Technology. Paris, France: Atlantis Press; 2016. doi:10.2991/cset-16.2016.53
   Google Scholar
• Ma Y, Hou Y, Liu Y, Xue Y. Research of food safety risk assessment methods based on big data. In: Proceedings of 2016 IEEE International Conference on Big Data Analysis, ICBDA 2016, Hangzhou, China. IEEE; 2016. p. 1–5. doi:10.1109/ICBDA.2016.7509812
   Google Scholar
• Ji G, Tan K. A big data decision-making mechanism for food supply chain. MATEC Web Conf. 2017 Mar 8;100:02048. doi:10.1051/matecconf/201710002048.
   Google Scholar
• Danezis GP, Tsagkaris AS, Brusic V, Georgiou CA. Food authentication: state of the art and prospects. Curr Opin Food Sci. 2016 Aug;10:22–31. doi:10.1016/j.cofs.2016.07.003.
   Web of Science ®Google Scholar
• Li J, Yang Q, Zou X. Big data and higher vocational and technical education: green food and its industry orientation. In: ACM International Conference Proceeding Series. New York, New York, USA: ACM Press; 2019. p. 118–23. doi:10.1145/3322134.3322150
   Google Scholar
• Bronson K. Digitization and big data in food security and sustainability. Encyclopedia of Food Security and Sustainability. Elsevier; 2019. (2):582–87. doi:10.1016/B978-0-08-100596-5.22462-1.
   Google Scholar
• Xu X, Hou L, Guo Z, Wang J, Li J. Developing a Chinese food nutrient data analysis system for precise dietary intake management. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018;360–66. doi:10.1007/978-3-319-94301-5_30.
   Google Scholar
• Gastaldi M. Integration of mobile, big data, sensors, and social media: impact on daily life and business. In: 2014 IST-Africa Conference and Exhibition, IST-Africa 2014 Pointe aux Piments, Mauritius. IEEE; 2014. p. 1–10. doi:10.1109/ISTAFRICA.2014.6880670
   Google Scholar
• Lukyamuzi A, Ngubiri J, Okori W. Towards harnessing phone messages and telephone conversations for prediction of food crisis. Int J Syst Dyn Appl. 2015 Oct 1;4(4):1–16. doi:10.4018/ijsda.2015100101.
   Google Scholar
• Ingram J, Maye D. What are the implications of digitalisation for agricultural knowledge? Front Sustain Food Syst. 2020 May 21;4. doi:10.3389/fsufs.2020.00066.
   Google Scholar
• Serazetdinova L, Garratt J, Baylis A, Stergiadis S, Collison M, Davis S. How should we turn data into decisions in AgriFood? J Sci Food Agric. 2019 May 7;99(7):3213–19. doi:10.1002/jsfa.9545.
   PubMed Web of Science ®Google Scholar
• Hentzen JK, Hoffmann A, Dolan R, Pala E. Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research. Int J Bank Mark. 2021 Sep 1;40(6):1299–336. doi:10.1108/IJBM-09-2021-0417.
   Web of Science ®Google Scholar
• Mehrabian A, Russell JA. The basic emotional impact of environments. Percept Mot Skills. 1974 Feb;38(1):283–301. doi:10.2466/pms.1974.38.1.283.
   PubMed Web of Science ®Google Scholar
• Larson PD, Foropon C. Process improvement in humanitarian operations: an organisational theory perspective. Int J Prod Res. 2018 Nov 2;56(21):6828–41. doi:10.1080/00207543.2018.1424374.
   Web of Science ®Google Scholar
• Wade M, Hulland J. Review: the resource-based view and information systems research: review, extension, and suggestions for future research. MIS Q Manag Inf Syst. 2004;28(1):107–42. doi:10.2307/25148626.
   Web of Science ®Google Scholar
• Barney JB. Strategic factor markets: expectations, luck, and business strategy. Manage Sci. 1986 Oct;32(10):1231–41. doi:10.1287/mnsc.32.10.1231.
   Web of Science ®Google Scholar