Investigating the food digitisation tenders for small and medium-sized enterprises in the wake of pandemic Covid-19
DOI:
https://doi.org/10.15170/MM.2022.56.03.06Keywords:
digitalisation of the food industry, Covid-19, tender resourcesAbstract
THE AIM OF THE PAPER
Due to the Covid-19 virus outbreak in early 2020, the importance of the food industry in our country has also been highlighted. The importance of the country's self-sufficiency, with small and medium-sized enterprises being important players, was demonstrated. As a result, from 2021 onwards, entrepreneurs have had access to a wide range of funding for development. The aim of the study is to examine whether the Covid situation will accelerate investment in digitalisation tools through the resulting calls for proposals and to see what direction the funding opportunities will encourage firms to take.
METHODOLOGY
The exploratory research is based on a hybrid analysis of secondary sources, which includes both literature and tender data. The literature is processed in the form of a bibliometric analysis, while the tenders and policy objectives are analysed through a manual content analysis.
MOST IMPORTANT RESULTS
The results of the research show that the support of domestic food industry is also pushed towards digitalisation by tendering opportunities. In the case of eligible activities, development directions for automated production systems, manufacturing technologies, sensor and control technologies are the main focus, as well as investments in robotics and smart manufacturing solutions (GINOP call for proposals 1.2.12-21, 2021). In addition, in response to the Covid-19 wave, calls for proposals to support further development and survival of Hungarian operators have been launched in 2021 (GINOP-PLUSZ-1.2.1-21 call for proposals, 2021).
RECOMMENDATIONS
The study aims to provide practitioners an overview of the relationship between economic policy objectives and implementation options, raising their awareness of the benefits of digital-enabled operations.
References
Ahamed, N. N., & Vignesh, R. (2022). Smart Agriculture and Food Industry with Blockchain and Artificial Intelligence. Journal of Computer Science, 18(1), 1–17. https://doi.org/10.3844/JCSSP.2022.1.17
Awan, S. H., Ahmad, S., Khan, Y., Safwan, N., Qurashi, S. S., & Hashim, M. Z. (2021). A Combo Smart Model of Blockchain with the Internet of Things (IoT) for the Transformation of Agriculture Sector. Wireless Personal Communications, 121(3), 2233–2249. https://doi.org/10.1007/s11277-021-08820-6
Baksa, M., Freund, A., Demeter, K., & Losonci, D. (2021). Üzlet 4.0 - magyarországi vállalati tapasztalatok. Akadémiai Kiadó. https://doi.org/10.1556/9789634546276
Casino, F., Kanakaris, V., Dasaklis, T. K., Moschuris, S., Stachtiaris, S., Pagoni, M., & Rachaniotis, N. P. (2020). Blockchain-based food supply chain traceability: a case study in the dairy sector. International Journal of Production Research, 0(0), 1–13. https://doi.org/10.1080/00207543.2020.1789238
Coppolino, L., Romano, L., Scaletti, A., & Sgaglione, L. (2021). Fuzzy set theory-based comparative evaluation of cloud service offerings: an agro-food supply chain case study. Technology Analysis and Strategic Management, 33(8), 900–913. https://doi.org/10.1080/09537325.2020.1850673
D’Agaro, E., Rosa, F., & Akentieva, N. P. (2021). New Technology Tools and Life Cycle Analysis (LCA) Applied to a Sustainable Livestock Production. Eurobiotech Journal, 5(3), 130–141. https://doi.org/10.2478/ebtj-2021-0022
DAS. (2019). Digitális Jólét Program: Magyarország Digitális Agrár Stratégiája.
Demeter, K., & Losonci, D. (2020). Business and technological perspectives of Industry 4.0 A framework for thinking with case illustration. Vezetéstudomány / Budapest Management Review, 51(5), 2–14. https://doi.org/10.14267/veztud.2020.05.01
Demeter, K., Losonci, D., Marciniak, R., Nagy, J., Móricz, P., Matyusz, Z., Baksa, M., Freund, A., Jámbor, Z., Pistrui, B., & Diófási-Kovács, O. (2020). Industry 4.0 through the lenses of technology, strategy, and organization A compilation of case study evidence. Vezetéstudomány / Budapest Management Review, 51(11), 14–25. https://doi.org/10.14267/veztud.2020.11.02
Dos Santos, R. B., Torrisi, N. M., & Pantoni, R. P. (2021). Third party certification of agri-food supply chain using smart contracts and blockchain tokens. Sensors, 21(16), 1–20. https://doi.org/10.3390/s21165307
Duong, L. N. K., Al-Fadhli, M., Jagtap, S., Bader, F., Martindale, W., Swainson, M., & Paoli, A. (2020). A review of robotics and autonomous systems in the food industry: From the supply chains perspective. Trends in Food Science and Technology, 106(May), 355–364. https://doi.org/10.1016/j.tifs.2020.10.028
Ejaz, M. R. (2021). The Future of Flexible Product Manufacturing by Using Industry 4.0 Technologies in Regard to Consumer Preferences. Marketing & Menedzsment, 55(3), 7–17. https://doi.org/10.15170/mm.2021.55.03.01
Erős, A. (2019). NAKlap. NAKlap, VII.(9).
Fu, H., Zhao, C., Cheng, C., & Ma, H. (2020). Blockchain-based agri-food supply chain management: case study in China. International Food and Agribusiness Management Review, 23(5), 667–679. https://doi.org/10.22434/ifamr2019.0152
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, 219(July 2018), 179–194. https://doi.org/10.1016/j.ijpe.2019.05.022
Kayikci, Y., Subramanian, N., Dora, M., & Bhatia, M. S. (2020). Food supply chain in the era of Industry 4.0: blockchain technology implementation opportunities and impediments from the perspective of people, process, performance, and technology. Production Planning and Control, 0(0), 1–21. https://doi.org/10.1080/09537287.2020.1810757
Kollia, I., Stevenson, J., & Kollias, S. (2021). Ai-enabled efficient and safe food supply chain. Electronics (Switzerland), 10(11), 1–21. https://doi.org/10.3390/electronics10111223
Kürthy, G., Dudás, G., & Felkai, B. O. (2016). A MAGYARORSZÁGI ÉLELMISZERIPAR HELYZETE ÉS JÖVŐKÉPE. Agrárgazdasági Kutató Intézet.
Lassoued, R., Macall, D. M., Smyth, S. J., Phillips, P. W. B., & Hesseln, H. (2021). Data challenges for future plant gene editing: expert opinion. Transgenic Research, 30(6), 765–780. https://doi.org/10.1007/s11248-021-00264-9
Lin, Q., Wang, H., Pei, X., & Wang, J. (2019). Food Safety Traceability System Based on Blockchain and EPCIS. IEEE Access, 7, 20698–20707. https://doi.org/10.1109/ACCESS.2019.2897792
Maditati, D. R., Munim, Z. H., Schramm, H. J., & Kummer, S. (2018). A review of green supply chain management: From bibliometric analysis to a conceptual framework and future research directions. Resources, Conservation and Recycling, 139(August), 150–162. https://doi.org/10.1016/j.resconrec.2018.08.004
Oguntegbe, K. F., Di Paola, N., & Vona, R. (2022). Behavioural antecedents to blockchain implementation in agrifood supply chain management: A thematic analysis. Technology in Society, 68(November 2021), 101927. https://doi.org/10.1016/j.techsoc.2022.101927
Tej Szakmaközi szervezet és Terméktanács. (2013). A magyar tejágazat helyzete és fejlődésének lehetséges iránya. https://tejtermek.hu/cikkek/tanulmanyok/tt-tanulmany-2014-2020
Varavallo, G., Caragnano, G., Bertone, F., Vernetti-Prot, L., & Terzo, O. (2022). Traceability Platform Based on Green Blockchain: An Application Case Study in Dairy Supply Chain. Sustainability (Switzerland), 14(6), 1–14. https://doi.org/10.3390/su14063321
Viet, N. Q., Behdani, B., Bloemhof, J., & Hoberg, K. (2021). Value of data in multi-level supply chain decisions: a case study in the Dutch floriculture sector. International Journal of Production Research, 59(5), 1368–1385. https://doi.org/10.1080/00207543.2020.1821116
Wang, L., Xu, L., Zheng, Z., Liu, S., Li, X., Cao, L., Li, J., & Sun, C. (2021). Smart Contract-Based Agricultural Food Supply Chain Traceability. IEEE Access, 9, 9296–9307. https://doi.org/10.1109/ACCESS.2021.3050112
Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629
Internetes oldalak hivatkozása
References of webpages
GINOP-1.2.12-21 pályázati felhívás. (2021). https://www.palyazat.gov.hu/ginop-1212-21-lelmiszeripari-kzpvllalatok-komplex-beruhzsainak-tmogatsa# Utolsó letöltés: 2022. 04. 30.
GINOP-PLUSZ-1.2.1-21 pályázati felhívás. (2021). https://www.palyazat.gov.hu/ginop-plusz-121-21# Utolsó letöltés: 2022. 04. 30.
Pályázat honlap1. (2022). Fejlesztési programok. https://www.palyazat.gov.hu/fejlesztesi_programok_2 Utolsó letöltés: 2022. 04. 30.
