Tarım & Gıda Pazarlamasında KOBİ'lerin Yeni Teknolojiler (Yapay Zeka, Blokzincir, Makine Öğrenmesi ve Nesnelerin İnterneti) ile Dijital Dönüşümü ve Başarı Faktörleri

Year 2024, Volume: 13 Issue: 3, 1192 - 1218, 30.09.2024

Hüseyin Fatih Atlı

https://doi.org/10.15869/itobiad.1400182

Abstract

Ülke ekonomilerinde önemli bir yer tutan küçük ve orta ölçekli işletmeler (KOBİ) tedarik zinciri yapısında daha fazla yaygınlaşması karmaşık ve rekabetçi bir iş ortamında ülke ekonomilerinin gelişiminde oldukça önemlidir. Bununla birlikte KOBİ’ler Sürdürülebilir Kalkınma Hedeflerinin (SDG) sağlanması için önemli katkıları olabileceği gibi gıda KOBİ'leri tarım sektöründe tarımsal verimlilik üzerinde de dolaylı etkileri olabilir. Birleşmiş Milletler Gıda ve Tarım Örgütü (FAO) ve buna benzer uluslararası organizasyonlar buna yol açabilecek uygulamaları desteklemektedir. KOBİ'ler, çalışan sayısı, yıllık cirosu veya yıllık bilanço toplamı belirli bir eşiğin altında olan işletmelerdir. KOBİ’ler ekonomik yaşama olumlu katkılar sağlamasının yanı sıra insanların en temel ihtiyaçları olan gıda ürünleri için gıda arzını da sağlayarak önemli bir fonksiyonu yerine getirmektedirler. Rekabetçi ve karmaşık bir iş ortamında, uygun stratejilerin uygulanması KOBİ'lerin gelişimini ilerletmek için özellikle önemli bir çabadır. Bu makale, tarım & gıda pazarlamasında KOBİ'lerin yeni teknolojiler ile dijital dönüşümünü ve başarı faktörlerini analiz etmiştir. Çalışmada, Web of Science, Scopus ve Google Scholar gibi önemli veri tabanları aday gösterilerek sistematik analiz yöntemi önerilmiştir. Araştırma amacına uygun olarak doğrulanmış anahtar kelimeler kullanılarak farklı literatür platformlarından elde edilen makaleler gözden geçirilmiştir. Araştırma sonuçları, KOBİ’lerin başarı faktörlerini ve yeni teknolojileri benimsemelerinin tarım & gıda pazarlamasını da tüm yönleriyle etkileyeceğini doğrulamaktadır. Bu nedenle KOBİ’ler için stratejiler belirlenirken tüm bu faktörler de dikkate alınarak yeni teknolojilerin tüm süreçlere entegre edilmesine daha çok önem verilmelidir.

Keywords

Tarımsal Pazarlama, Yapay Zeka, Blokzincir, Makine Öğrenmesi, Nesnelerin İnterneti, KOBİ

Ethical Statement

Bu çalışmanın hazırlanma sürecinde bilimsel ve etik ilkelere uyulduğu ve yararlanılan tüm çalışmaların kaynakçada belirtildiği beyan olunur.

Supporting Institution

Bu araştırmayı desteklemek için dış fon kullanılmamıştır.

Digital Transformation and Success Factors of SMEs with New Technologies (Artificial Intelligence, Blockchain, Machine Learning and Internet of Things) in Agriculture & Food Marketing

Abstract

The greater prevalence of small and medium-sized enterprises (SMEs), which have an important place in country economies, in the supply chain structure is very important in the development of country economies in a complex and competitive business environment. However, while SMEs can make significant contributions to achieving the Sustainable Development Goals (SDGs), food SMEs can also have indirect effects on agricultural productivity in the agricultural sector. Food and Agriculture Organization of the United Nations (FAO) and similar international organizations support practices that may lead to this. SMEs are businesses whose number of employees, annual turnover or annual balance sheet total is below a certain threshold. In addition to making positive contributions to economic life, SMEs also fulfill an important function by providing food supply for food products, which are people's most basic needs. In a competitive and complex business environment, implementing appropriate strategies is a particularly important effort to advance the development of SMEs. This article analyzed the digital transformation and success factors of SMEs with new technologies in agriculture & food marketing. In the study, a systematic analysis method was proposed by nominating important databases such as Web of Science, Scopus and Google Scholar. Articles obtained from different literature platforms were reviewed using validated keywords in accordance with the research purpose. Research results confirm that SMEs' success factors and adoption of new technologies will affect all aspects of agriculture & food marketing. Therefore, when determining strategies for SMEs, more importance should be given to integrating new technologies into all processes, taking into account all these factors.

Keywords

Agricultural Marketing, Artificial Intelligence, Blockchain, Machine Learning, Internet of Things, SME

References

• Abraham, F., & Schmukler, S. L. (2017). Addressing the SME finance problem. World Bank Research and Policy Briefs, (120333).
• Abor, J., & Quartey, P. (2010). Issues in SME development in Ghana and South Africa. International research journal of finance and economics, 39(6), 215-228.
• Aday, S., & Aday, M. S. (2020). Impact of COVID-19 on the food supply chain. Food Quality and Safety, 4(4), 167-180.
• Afonso, H., & do Rosário Cabrita, M. (2015). Developing a lean supply chain performance framework in a SME: a perspective based on the balanced scorecard. Procedia engineering, 131, 270-279.
• Agus, P., Ratna Setyowati, P., Arman, H. A., Masduki, A., Innocentius, B., Priyono Budi, S., & Otta Breman, S. (2020). The effect of implementation integrated management system ISO 9001, ISO 14001, ISO 22000 and ISO 45001 on Indonesian food industries performance. Test Engineering and Management, 82(20), 14054-14069.
• Ahi, P., & Searcy, C. (2013). A comparative literature analysis of definitions for green and sustainable supply chain management. Journal of cleaner production, 52, 329-341.
• Akalın, G., & Dilek, S. (2007). Belirsizlik altında firma kararlarının incelenmesi. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 23(2).
• Ali, I., Nagalingam, S., & Gurd, B. (2017). Building resilience in SMEs of perishable product supply chains: enablers, barriers and risks. Production Planning & Control, 28(15), 1236-1250.
• Ali, M. H., Chung, L., Kumar, A., Zailani, S., & Tan, K. H. (2021). A sustainable Blockchain framework for the halal food supply chain: Lessons from Malaysia. Technological Forecasting and Social Change, 170, 120870.
• Ali, M. H., Suleiman, N., Khalid, N., Tan, K. H., Tseng, M. L., & Kumar, M. (2021). Supply chain resilience reactive strategies for food SMEs in coping to COVID-19 crisis. Trends in food science & technology, 109, 94-102.
• Ali, S. M., Moktadir, M. A., Kabir, G., Chakma, J., Rumi, M. J. U., & Islam, M. T. (2019). Framework for evaluating risks in food supply chain: Implications in food wastage reduction. Journal of cleaner production, 228, 786-800.
• Aniqoh, N. A. F. A., & Hanastiana, M. R. (2020). Halal food industry: challenges and opportunities in Europe. Journal of Digital Marketing and Halal Industry, 2(1), 43-54.
• Arenas-Jal, M., Suñé-Negre, J. M., Pérez-Lozano, P., & García-Montoya, E. (2020). Trends in the food and sports nutrition industry: A review. Critical reviews in food science and nutrition, 60(14), 2405-2421.
• Arvanitoyannis, I. S., Kotsanopoulos, K. V., & Savva, A. G. (2017). Use of ultrasounds in the food industry–Methods and effects on quality, safety, and organoleptic characteristics of foods: A review. Critical reviews in food science and nutrition, 57(1), 109-128.
• Asioli, D., Aschemann-Witzel, J., Caputo, V., Vecchio, R., Annunziata, A., Næs, T., & Varela, P. (2017). Making sense of the “clean label” trends: A review of consumer food choice behavior and discussion of industry implications. Food Research International, 99, 58-71.
• Atkins, P., & Bowler, I. (2016). Food in society: economy, culture, geography. Routledge.
• Atlam, H. F., Azad, M. A., Alassafi, M. O., Alshdadi, A. A., & Alenezi, A. (2020). Risk-based access control model: A systematic literature review. Future Internet, 12(6), 103.
• Atlı, H. F. (2024a). Safety of agricultural machinery and tractor maintenance planning with fuzzy logic and MCDM for agricultural productivity. International Journal of Agriculture Environment and Food Sciences, 8(1), 25-43.
• Atlı, H. F. (2024b). Digital marketing in the agricultural sector and digital transformation in agricultural marketing. Sandra Trzcińska (Ed.), Tokyo 8th International Conference on Innovative Studies & Contemporary Scientific Research Congress (134-140). Tokyo – Japan. Liberty Academic Publishers, NY, USA.
• Attia, A., & Essam Eldin, I. (2018). Organizational learning, knowledge management capability and supply chain management practices in the Saudi food industry. Journal of Knowledge Management, 22(6), 1217-1242.
• Attia, A., & Salama, I. (2018). Knowledge management capability and supply chain management practices in the Saudi food industry. Business Process Management Journal, 24(2), 459-477.
• Aydin, H., Eser, Z., & Korkmaz, S. (2018). The psychological effects of fast food consumption on body image emotions. British Food Journal, 120(10), 2236-2249.
• Ayuso, S., Roca, M., & Colomé, R. (2013). SMEs as “transmitters” of CSR requirements in the supply chain. Supply Chain Management: An International Journal, 18(5), 497-508.
• Baker, P., Russ, K., Kang, M., Santos, T. M., Neves, P. A., Smith, J., ... & McCoy, D. (2021). Globalization, first-foods systems transformations and corporate power: a synthesis of literature and data on the market and political practices of the transnational baby food industry. Globalization and health, 17(1), 58.
• Balfaqih, H., Nopiah, Z. M., Saibani, N., & Al-Nory, M. T. (2016). Review of supply chain performance measurement systems: 1998–2015. Computers in industry, 82, 135-150.
• Banaeian, N., Mobli, H., Nielsen, I. E., & Omid, M. (2015). Criteria definition and approaches in green supplier selection–a case study for raw material and packaging of food industry. Production & Manufacturing Research, 3(1), 149-168.
• Banomyong, R., & Supatn, N. (2011). Developing a supply chain performance tool for SMEs in Thailand. Supply chain management: an international journal, 16(1), 20-31.
• Bär, K., Herbert-Hansen, Z. N. L., & Khalid, W. (2018). Considering Industry 4.0 aspects in the supply chain for an SME. Production Engineering, 12, 747-758.
• Baregheh, A., Rowley, J., & Sambrook, S. (2009). Towards a multidisciplinary definition of innovation. Management decision, 47(8), 1323-1339.
• Bauer, M., van Dinther, C., & Kiefer, D. (2020). Machine learning in SME: an empirical study on enablers and success factors.
• Bell, J., & Loane, S. (2013). ‘New-wave'global firms: Web 2.0 and SME internationalisation. In New Developments in Online Marketing (pp. 33-49). Routledge.
• Berry-Johnson, J., (2020), “What is a Small and Mid-size Enterprise (SME)?”, Small and Mid-size Enterprise (SME). Retrieved from https://www.investopedia.com/terms/s/smallandmidsizeenterprises.asp
• Beske, P., Land, A., & Seuring, S. (2014). Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature. International journal of production economics, 152, 131-143.
• Bhalerao, K. (2018). A study of artificial intelligence in small and medium enterprises. Indian Journal of Training and Development, 39-42.
• Bhalerao, K., Kumar, A., Kumar, A., & Pujari, P. (2022). A study of barriers and benefits of artificial intelligence adoption in small and medium enterprise. Academy of Marketing Studies Journal, 26, 1-6.
• Bigliardi, B., & Galati, F. (2013). Innovation trends in the food industry: The case of functional foods. Trends in Food Science & Technology, 31(2), 118-129.
• Bordonaba‐Juste, V., & Cambra‐Fierro, J. J. (2009). Managing supply chain in the context of SMEs: a collaborative and customized partnership with the suppliers as the key for success. Supply Chain Management: An International Journal, 14(5), 393-402.
• Bourlakis, M., Maglaras, G., Aktas, E., Gallear, D., & Fotopoulos, C. (2014). Firm size and sustainable performance in food supply chains: Insights from Greek SMEs. International journal of production Economics, 152, 112-130.
• Brammer, S., Hoejmose, S., & Marchant, K. (2012). Environmental management in SME s in the UK: Practices, pressures and perceived benefits. Business strategy and the environment, 21(7), 423-434.
• Buttriss, J. L. (2013). Food reformulation: the challenges to the food industry. Proceedings of the Nutrition Society, 72(1), 61-69.
• Caballero-Morales, S. O. (2021). Innovation as recovery strategy for SMEs in emerging economies during the COVID-19 pandemic. Research in international business and finance, 57, 101396.
• Carbajal, L. M. B., Tovar, L. A. R., & Zimmerman, H. F. L. (2017). Model of associativity in the production chain in Agroindustrial SMEs. Contaduría y administración, 62(4), 1118-1135.
• Cardozo, E., Velásquez de Naime, Y., & Monroy, R. (2012, July). La definición de PYME en América: Una revisión del estado del arte Definition of SMEs in Latin America: A review of the state of the art. In 6th International Conference on Industrial Engineering and Industrial Management (pp. 1345-1352).
• Chai, J., Liu, J. N., & Ngai, E. W. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert systems with applications, 40(10), 3872-3885.
• Chandon, P., & Wansink, B. (2012). Does food marketing need to make us fat? A review and solutions. Nutrition reviews, 70(10), 571-593.
• Che Senik, Z., Scott-Ladd, B., Entrekin, L., & Adham, K. A. (2011). Networking and internationalization of SMEs in emerging economies. Journal of International Entrepreneurship, 9, 259-281.
• Chong, M. Y., Chin, J. F., & Loh, W. P. (2013). Lean ıncıpıence spıral model for small and medıum enterprıses. International Journal of Industrial Engineering, 20.
• Ciliberti, F., De Haan, J., De Groot, G., & Pontrandolfo, P. (2011). CSR codes and the principal-agent problem in supply chains: four case studies. Journal of Cleaner Production, 19(8), 885-894.
• Clapp, J. (2020). Food. John Wiley & Sons.
• Clohessy, T., & Acton, T. (2019). Investigating the influence of organizational factors on blockchain adoption: An innovation theory perspective. Industrial Management & Data Systems, 119(7), 1457-1491.
• Colin, M., Galindo, R., & Hernández, O. (2015). Information and communication technology as a key strategy for efficient supply chain management in manufacturing SMEs. Procedia Computer Science, 55, 833-842.
• Corbet, S., Lucey, B., Urquhart, A., & Yarovaya, L. (2019). Cryptocurrencies as a financial asset: A systematic analysis. International Review of Financial Analysis, 62, 182-199.
• Croxton, K. L., Garcia-Dastugue, S. J., Lambert, D. M., & Rogers, D. S. (2001). The supply chain management processes. The international journal of logistics management, 12(2), 13-36.
• Dangayach, G. S., & Deshmukh, S. G. (2001). Manufacturing strategy: literature review and some issues. International journal of operations & production management, 21(7), 884-932.
• Davis, B., (2016), What is a Business? - Definition, Characteristics & Examples. (2016, January 4). Retrieved from https://study.com/academy/lesson/what-is-a-business-definition-characteristics-examples.html
• Davis, B., Lockwood, A., Pantelidis, I. S., & Alcott, P. (2018). Food and beverage management. Routledge.
• Davies, J. (2019). From severe to routine labour exploitation: The case of migrant workers in the UK food industry. Criminology & criminal justice, 19(3), 294-310.
• Demirgüneş, B. K., & Özsaçmacı, B. (2016). Exploring the effect of consumers’ food-related decision making styles on national brand vs. store brand choice. International Journal of Marketing Studies, 9(1), 46-64.
• Denktaş Şakar, G., Yildirim, E., & Mansuroglu, E. (2018). Value creation in project cargo logistics: a Delphi study. Journal of ETA Maritime Science, 6(3), 255-274.
• Dey, P. K., Malesios, C., De, D., Chowdhury, S., & Abdelaziz, F. B. (2019). Could lean practices and process innovation enhance supply chain sustainability of small and medium‐sized enterprises?. Business Strategy and the Environment, 28(4), 582-598.
• Dilek, S. (2016). Enformasyon ve bilgiye dayali yeni ekonomi. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 11(1), 87-91.
• Dilek, S., Kesgingöz, H., Konak, A., Halıcıoğlu, S. (2018). Factors Affecting Economic Literacy. Afro Eurasian Studies, 7(1), 7-47.
• Dini, M., Ferraro, C. A., & Gasaly, C. (2007). Pymes y articulación productiva. Resultados y lecciones a partir de experiencias en América Latina. CEPAL.
• Dora, M., Kumar, M., Van Goubergen, D., Molnar, A., & Gellynck, X. (2013). Operational performance and critical success factors of lean manufacturing in European food processing SMEs. Trends in food science & technology, 31(2), 156-164.
• Dossou, P. E. (2018). Impact of Sustainability on the supply chain 4.0 performance. Procedia Manufacturing, 17, 452-459.
• Dunn, E. C. (2015). Privatizing Poland: Baby food, big business, and the remaking of labor. Cornell University Press.
• Eakin, H., Sweeney, S., Lerner, A. M., Appendini, K., Perales, H., Steigerwald, D. G., ... & Bausch, J. C. (2018). Agricultural change and resilience: Agricultural policy, climate trends and market integration in the Mexican maize system. Anthropocene, 23, 43-52.
• EC (European Commission), (2014), Evaluation of the user guide to the SME Definition, By the European Commission, Directorate-General for Enterprise and Industry. Retrieved from https://ec.europa.eu/docsroom/documents/5766/attachments/1/translations/en/renditions/pdf
• ESCAP, U. (2018). SDG 12: Responsible consumption and production: ensure sustainable consumption and production patterns.
• Faisal, M. N. (2010). Analysing the barriers to corporate social responsibility in supply chains: an interpretive structural modelling approach. International Journal of Logistics: Research and Applications, 13(3), 179-195.
• Fortunati, S., Morea, D., & Mosconi, E. M. (2020). Circular economy and corporate social responsibility in the agricultural system: Cases study of the Italian agri-food industry. Zemedelska Ekonomika, 66(11), 489-498.
• Frej, E. A., Roselli, L. R. P., Araújo de Almeida, J., & de Almeida, A. T. (2017). A multicriteria decision model for supplier selection in a food industry based on FITradeoff method. Mathematical Problems in Engineering, 2017, 1-9.
• Friedman, N., & Ormiston, J. (2022). Blockchain as a sustainability-oriented innovation?: Opportunities for and resistance to Blockchain technology as a driver of sustainability in global food supply chains. Technological Forecasting and Social Change, 175, 121403.
• Galvez, J. F., Mejuto, J. C., & Simal-Gandara, J. (2018). Future challenges on the use of blockchain for food traceability analysis. TrAC Trends in Analytical Chemistry, 107, 222-232.
• Garcia-Garcia, G., Stone, J., & Rahimifard, S. (2019). Opportunities for waste valorisation in the food industry–A case study with four UK food manufacturers. Journal of Cleaner Production, 211, 1339-1356.
• Gellynck, X., Vermeire, B., & Viaene, J. (2007). Innovation in food firms: contribution of regional networks within the international business context. Entrepreneurship & Regional Development, 19(3), 209-226.
• George, S. (2014). How the other half dies. In Classic and Contemporary Readings in Sociology (pp. 266-271). Routledge.
• Gherghina, Ș. C., Botezatu, M. A., Hosszu, A., & Simionescu, L. N. (2020). Small and medium-sized enterprises (SMEs): The engine of economic growth through investments and innovation. Sustainability, 12(1), 347.
• Girotto, F., Alibardi, L., & Cossu, R. (2015). Food waste generation and industrial uses: A review. Waste management, 45, 32-41.
• Goldberg, I. (2012). Functional foods: designer foods, pharmafoods, nutraceuticals. Springer Science & Business Media.
• Grimm, J. H., Hofstetter, J. S., & Sarkis, J. (2014). Critical factors for sub-supplier management: A sustainable food supply chains perspective. International journal of production economics, 152, 159-173.
• Halloran, A., Clement, J., Kornum, N., Bucatariu, C., & Magid, J. (2014). Addressing food waste reduction in Denmark. Food policy, 49, 294-301.
• Hanaysha, J. R. (2022). Impact of social media marketing features on consumer's purchase decision in the fast-food industry: Brand trust as a mediator. International Journal of Information Management Data Insights, 2(2), 100102.
• Haskaraca, G., Arslan, Y., Ayhan, Z. (2022). Evaluation of factors affecting consumers' poultry meat consumption habits and perceptions and poultry breeding processes. GIDA (2022) 47 (6) 1014-1031
• He, X., Deng, H., & Hwang, H. M. (2019). The current application of nanotechnology in food and agriculture. Journal of food and drug analysis, 27(1), 1-21.
• Hermann, M., Pentek, T., & Otto, B. (2016, January). Design principles for industrie 4.0 scenarios. In 2016 49th
• Hawaii international conference on system sciences (HICSS) (pp. 3928-3937). IEEE.
• Hobbs, J. E. (2020). Food supply chains during the COVID‐19 pandemic. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 171-176.
• Holt Giménez, E., & Shattuck, A. (2011). Food crises, food regimes and food movements: rumblings of reform or tides of transformation?. The Journal of peasant studies, 38(1), 109-144.
• Huang, X., Tan, B. L., & Ding, X. (2015). An exploratory survey of green supply chain management in Chinese manufacturing small and medium-sized enterprises: Pressures and drivers. Journal of Manufacturing Technology Management, 26(1), 80-103.
• Hutchings, J. B. (Ed.). (2011). Food colour and appearance. Springer Science & Business Media.
• Ilbiz, E. and Durst, S. (2019). The appropriation of blockchain for small and medium-sized enterprises. Journal of Innovation Management, 7(1), 26–45.
• Imenda, S. (2014). Is there a conceptual difference between theoretical and conceptual frameworks? Journal of Social Sciences, 38(2), 185-195.
• Inyang, B. J. (2013). Defining the role engagement of small and medium-sized enterprises (SMEs) in corporate social responsibility (CSR). International business research, 6(5), 123.
• Jaafreh, A. B. (2018). The effect factors in the adoption of Internet of Things (IoT) technology in the SME in KSA: An empirical study. International Review of Management and Business Research, 7(1), 135-148.
• Jagtap, S., Garcia-Garcia, G., & Rahimifard, S. (2021). Optimisation of the resource efficiency of food manufacturing via the Internet of Things. Computers in Industry, 127, 103397.
• Kalogiannidis, S. (2020). Covid impact on small business. International Journal of Social Science and Economics Invention, 6(12), 387-391.
• Karaçam, Z. (2013). Sistematik derleme metodolojisi: Sistematik derleme hazırlamak için bir rehber. Dokuz Eylül Üniversitesi Hemşirelik Fakültesi Elektronik Dergisi, 6(1), 26-33.
• Kayabasi, A., & Mtetwa, T. (2016). Impact of marketing effectiveness and capabilities, and export market orientation on export performance: Evidence from Turkey. European Business Review, 28(5), 532-559.
• Khan, S. A. R., Godil, D. I., Jabbour, C. J. C., Shujaat, S., Razzaq, A., & Yu, Z. (2021). Green data analytics, blockchain technology for sustainable development, and sustainable supply chain practices: evidence from small and medium enterprises. Annals of Operations Research, 1-25.
• Kian Chong, W., Shafaghi, M., & Leing Tan, B. (2011). Development of a business‐to‐business critical success factors (B2B CSFs) framework for Chinese SMEs. Marketing Intelligence & Planning, 29(5), 517-533.
• Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering.
• Koloszár, L. (2018). Opportunities of Lean thinking in improving the competitiveness of the Hungarian SME sector. Management and Production Engineering Review.
• Kong, D. (2012). Does corporate social responsibility matter in the food industry? Evidence from a nature experiment in China. Food Policy, 37(3), 323-334.
• Kongolo, M. (2010). Job creation versus job shedding and the role of SMEs in economic development. African journal of business management, 4(11), 2288.
• Kot, S. (2018). Sustainable supply chain management in small and medium enterprises. Sustainability, 10(4), 1143.
• Kotsanopoulos, K. V., & Arvanitoyannis, I. S. (2017). The role of auditing, food safety, and food quality standards in the food industry: A review. Comprehensive reviews in food science and food safety, 16(5), 760- 775.
• Kull, T. J., Kotlar, J., & Spring, M. (2018). Small and medium enterprise research in supply chain management: The case for single‐respondent research designs. Journal of Supply Chain Management, 54(1), 23-34.
• Kumar Bhardwaj, A., Garg, A., & Gajpal, Y. (2021). Determinants of blockchain technology adoption in supply chains by small and medium enterprises (SMEs) in India. Mathematical Problems in Engineering, 2021, 1-14.
• Kumar, R., & Kumar Singh, R. (2017). Coordination and responsiveness issues in SME supply chains: a review. Benchmarking: An International Journal, 24(3), 635-650.
• Kumar, R., Singh, R. K., & Shankar, R. (2015). Critical success factors for implementation of supply chain management in Indian small and medium enterprises and their impact on performance. IIMB Management review, 27(2), 92-104.
• Kurtuluş, S., Karapinar, E., & Özkan, E. (2019). Organik ürün tüketicilerinin tipolojisi: gönüllü sadelik, çevre bilinci ve değerler açısından pazar bölümlerinin incelenmesi. Tüketici ve Tüketim Araştırmaları Dergisi, 11(1), 107-142.
• Lacey, F. M., Matheson, L., & Jesson, J. (2011). Doing your literature review: Traditional and systematic techniques. Doing Your Literature Review, 1-192.
• Lang, T., & Heasman, M. (2015). Food wars: the global battle for mouths, minds and markets. Routledge.
• Leandro, A., Pacheco, D., Cotas, J., Marques, J. C., Pereira, L., & Gonçalves, A. M. (2020). Seaweed’s bioactive candidate compounds to food industry and global food security. Life, 10(8), 140.
• Lee, S. M., Kim, S. T., & Choi, D. (2012). Green supply chain management and organizational performance. Industrial Management & Data Systems, 112(8), 1148-1180.
• Lekkakos, S. D., & Serrano, A. (2016). Supply chain finance for small and medium sized enterprises: the case of reverse factoring. International Journal of Physical Distribution & Logistics Management, 46(4).
• Lin, C. S. K., Pfaltzgraff, L. A., Herrero-Davila, L., Mubofu, E. B., Abderrahim, S., Clark, J. H., ... & Luque, R. (2013). Food waste as a valuable resource for the production of chemicals, materials and fuels. Current situation and global perspective. Energy & Environmental Science, 6(2), 426-464.
• Liñán, F., & Fayolle, A. (2015). A systematic literature review on entrepreneurial intentions: citation, thematic analyses, and research agenda. International entrepreneurship and management journal, 11, 907-933.
• Liu, F., Rhim, H., Park, K., Xu, J., & Lo, C. K. (2021). HACCP certification in food industry: Trade-offs in product safety and firm performance. International Journal of Production Economics, 231, 107838.
• Loader, K. (2015). SME suppliers and the challenge of public procurement: Evidence revealed by a UK government online feedback facility. Journal of Purchasing and Supply Management, 21(2), 103-112.
• Ma, J., Sun, D. W., Pu, H., Cheng, J. H., & Wei, Q. (2019). Advanced techniques for hyperspectral imaging in the food industry: Principles and recent applications. Annual review of food science and technology, 10, 197-220.
• Mahalik, N. P., & Nambiar, A. N. (2010). Trends in food packaging and manufacturing systems and technology. Trends in food science & technology, 21(3), 117-128.
• Mahjoub, Y. I., Hassoun, M., & Trentesaux, D. (2022). Blockchain adoption for SMEs: opportunities and challenges. IFAC-PapersOnLine, 55(10), 1834-1839.
• Mahmood, K., Lanz, M., Toivonen, V., & Otto, T. (2018). A performance evaluation concept for production systems in an SME network. Procedia CIRP, 72, 603-608.
• Maimaiti, M., Zhao, X., Jia, M., Ru, Y., & Zhu, S. (2018). How we eat determines what we become: opportunities and challenges brought by food delivery industry in a changing world in China. European journal of clinical nutrition, 72(9), 1282-1286.
• Malesios, C., Dey, P. K., & Abdelaziz, F. B. (2020). Supply chain sustainability performance measurement of small and medium sized enterprises using structural equation modeling. Annals of Operations Research, 294, 623-653.
• Malhotra, R., & Temponi, C. (2010). Critical decisions for ERP integration: Small business issues. International Journal of Information Management, 30(1), 28-37.
• Masotti, F., Cattaneo, S., Stuknytė, M., & De Noni, I. (2019). Airborne contamination in the food industry: An update on monitoring and disinfection techniques of air. Trends in food science & technology, 90, 147-156.
• Mathiyazhagan, K., Govindan, K., NoorulHaq, A., & Geng, Y. (2013). An ISM approach for the barrier analysis in implementing green supply chain management. Journal of cleaner production, 47, 283-297.
• Matt, D. T., & Rauch, E. (2020). SME 4.0: The role of small-and medium-sized enterprises in the digital transformation. Industry 4.0 for SMEs: Challenges, opportunities and requirements, 3-36.
• McKinsey. (2014). The Internet of Things: Sizing up the opportunity, 2014. Retrieved from: http://www.mckinsey.com/insights/high_tech_telecoms _internet /the_internet_ o_things_sizing_up_ the_opportunity.
• Merugula, S., Dinesh, G., Kathiravan, M., Das, G., Nandankar, P., & Karanam, S. R. (2021, March). Study of blockchain technology in empowering the SME. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 758-765). IEEE.
• McClements, D. J., & Rao, J. (2011). Food-grade nanoemulsions: formulation, fabrication, properties, performance, biological fate, and potential toxicity. Critical reviews in food science and nutrition, 51(4), 285- 330.
• Minarelli, F., Raggi, M., & Viaggi, D. (2015). Innovation in European food SMEs: determinants and links between types. Bio-based and Applied Economics, 4(1), 33-53.
• Mofokeng, T. M., & Chinomona, R. (2019). Supply chain partnership, supply chain collaboration and supply chain integration as the antecedents of supply chain performance. South African Journal of Business Management, 50(1), 1-10.
• Monteiro, C. A., Cannon, G., Moubarac, J. C., Levy, R. B., Louzada, M. L. C., & Jaime, P. C. (2018). The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public health nutrition, 21(1), 5- 17.
• Monteiro, C. A., Levy, R. B., Claro, R. M., Castro, I. R. R. D., & Cannon, G. (2010). A new classification of foods based on the extent and purpose of their processing. Cadernos de saude publica, 26, 2039-2049.
• Monteiro, C. A., Moubarac, J. C., Cannon, G., Ng, S. W., & Popkin, B. (2013). Ultra‐processed products are becoming dominant in the global food system. Obesity reviews, 14, 21-28.
• Moodie, R., Stuckler, D., Monteiro, C., Sheron, N., Neal, B., Thamarangsi, T., ... & Casswell, S. (2013). Profits and pandemics: prevention of harmful effects of tobacco, alcohol, and ultra-processed food and drink industries. The lancet, 381(9867), 670-679.
• Mourad, M. (2016). Recycling, recovering and preventing “food waste”: Competing solutions for food systems sustainability in the United States and France. Journal of Cleaner Production, 126, 461-477.
• Mourtzis, D., Vlachou, E. & Milas, N. (2016). Industrial big data as a result of IoT adoption in manufacturing. Procedia CIRP, 55, 290–295.
• Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Decentralized Business Review, 21260.
• Namagembe, S., Ryan, S., & Sridharan, R. (2019). Green supply chain practice adoption and firm performance: manufacturing SMEs in Uganda. Management of Environmental Quality: An International Journal, 30(1), 5-35.
• Nestle, M. (2019). Food politics: How the food industry influences nutrition and health. University of California Press.
• Once, S., & Turan, N. (2019). Auditing in agricultural sales cooperatives and unions. Journal of Advanced Research in Social Sciences and Humanities, 4(5), 166-174.
• Onurlubaş, E., & Öztürk, D. Tüketici Perspektifinden Makarna: Alışkanlıklar, Tercihler ve Seçimleri Etkileyen Faktörler. Gaziosmanpaşa Bilimsel Araştırma Dergisi, 12(3), 140-159.
• Ormazabal, M., Prieto-Sandoval, V., Puga-Leal, R., & Jaca, C. (2018). Circular economy in Spanish SMEs: challenges and opportunities. Journal of cleaner production, 185, 157-167.
• Ozturk, D., & Tekin, M. (2020). The Effect of Supply Chain Management on Business Performance: An Application in Food Sector. Research Journal of Business and Management, 7, 56-66.
• Pagotto, M., & Halog, A. (2016). Towards a circular economy in Australian agri‐food industry: an application of input‐output oriented approaches for analyzing resource efficiency and competitiveness potential. Journal of Industrial Ecology, 20(5), 1176-1186.
• Partanen, J., Kohtamäki, M., Patel, P. C., & Parida, V. (2020). Supply chain ambidexterity and manufacturing SME performance: The moderating roles of network capability and strategic information flow. International Journal of Production Economics, 221, 107470.
• Pervan, M., Pervan, I., & Ćurak, M. (2017). The influence of age on firm performance: Evidence from the Croatian food industry. Journal of Eastern Europe Research in Business and Economics, 2017(1), 1-10.
• Poirier, E., Staub-French, S., & Forgues, D. (2015). Embedded contexts of innovation: BIM adoption and implementation for a specialty contracting SME. Construction innovation, 15(1), 42-65.
• Popkin, B. M., & Reardon, T. (2018). Obesity and the food system transformation in Latin America. Obesity Reviews, 19(8), 1028-1064.
• Posada, L. M. L., & Hernández, G. C. (2006). Análisis de las dinámicas culturales al interior de un cluster empresarial. Estudios Gerenciales, (99), 13-37.
• Potter, N. N., & Hotchkiss, J. H. (2012). Food science. Springer Science & Business Media.
• Pride, W., Hughes, R., & Kapoor, J. (2014). Foundations of Business, 4e. Stamford, CT: Cengage Learning, 220.
• Quayle, M. (2003). A study of supply chain management practice in UK industrial SMEs. Supply Chain Management: An International Journal, 8(1), 79-86.
• Quinton, S., Canhoto, A., Molinillo, S., Pera, R., & Budhathoki, T. (2018). Conceptualising a digital orientation: antecedents of supporting SME performance in the digital economy. Journal of Strategic Marketing, 26(5), 427-439.
• Quoquab, F., Mohamed Sadom, N. Z., & Mohammad, J. (2020). Driving customer loyalty in the Malaysian fast food industry: The role of halal logo, trust and perceived reputation. Journal of Islamic Marketing, 11(6), 1367- 1387.
• Rakshit, S., Islam, N., Mondal, S., & Paul, T. (2022). Influence of blockchain technology in SME internationalization: Evidence from high-tech SMEs in India. Technovation, 115, 102518.
• Reisch, L., Eberle, U., & Lorek, S. (2013). Sustainable food consumption: an overview of contemporary issues and policies. Sustainability: Science, Practice and Policy, 9(2), 7-25.
• Rezaee, M. J., Yousefi, S., Valipour, M., & Dehdar, M. M. (2018). Risk analysis of sequential processes in food industry integrating multi-stage fuzzy cognitive map and process failure mode and effects analysis. Computers & Industrial Engineering, 123, 325-337.
• Rizos, V., Behrens, A., Van der Gaast, W., Hofman, E., Ioannou, A., Kafyeke, T., ... & Topi, C. (2016). Implementation of circular economy business models by small and medium-sized enterprises (SMEs): Barriers and enablers. Sustainability, 8(11), 1212.
• Rizou, M., Galanakis, I. M., Aldawoud, T. M., & Galanakis, C. M. (2020). Safety of foods, food supply chain and environment within the COVID-19 pandemic. Trends in food science & technology, 102, 293-299.
• Saguy, I. S., & Sirotinskaya, V. (2014). Challenges in exploiting open innovation's full potential in the food industry with a focus on small and medium enterprises (SMEs). Trends in Food Science & Technology, 38(2), 136-148.
• Sahin, O., & Nasir, S. (2022). The effects of status consumption and conspicuous consumption on perceived symbolic status. Journal of Marketing Theory and Practice, 30(1), 68-85.
• Sahota, A. (2010). The Global Market for Organic Food & Drink1. In The world of organic agriculture (pp. 53- 57). Routledge.
• Scarborough, N. M. (2012). Effective small business management: An entrepreneurial approach. Prentice Hall.
• Schlosser, E. (2012). Fast food nation: The dark side of the all-American meal. Houghton Mifflin Harcourt.
• Schug, D., (2017). “How food manufacturers can use technology to manage supply chains.” Supply Chain.
• Retrieved from https://www.foodengineeringmag.com/articles/96411-how-food-manufacturers-can-use- technology-to-manage-supply-chains
• Scuotto, V., Caputo, F., Villasalero, M., & Del Giudice, M. (2017). A multiple buyer–supplier relationship in the context of SMEs’ digital supply chain management. Production Planning & Control, 28(16), 1378-1388.
• Shah Alam, S., & Mohamed Sayuti, N. (2011). Applying the Theory of Planned Behavior (TPB) in halal food purchasing. International journal of Commerce and Management, 21(1), 8-20.
• Shields, J., & Shelleman, J. M. (2015). Integrating sustainability into SME strategy. Journal of Small Business Strategy (archive only), 25(2), 59-78.
• Singh, R. K., Luthra, S., Mangla, S. K., & Uniyal, S. (2019). Applications of information and communication technology for sustainable growth of SMEs in India food industry. Resources, Conservation and Recycling, 147, 10-18.
• Sinha, N., Garg, A. K., & Dhall, N. (2016). Effect of TQM principles on performance of Indian SMEs: the case of automotive supply chain. The TQM Journal, 28(3).
• Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of business research, 104, 333-339.
• Song, H., Yang, X., & Yu, K. (2020). How do supply chain network and SMEs’ operational capabilities enhance working capital financing? An integrative signaling view. International Journal of Production Economics, 220, 107447.
• Song, H., Yu, K., Ganguly, A., & Turson, R. (2016). Supply chain network, information sharing and SME credit quality. Industrial Management & Data Systems, 116(4), 740-758.
• Sterne, J. A., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., ... & Higgins, J. P. (2019). RoB 2: a revised tool for assessing risk of bias in randomised trials. bmj, 366.
• Stević, Ž., Ulutaş, A., Korucuk, S., Memiş, S., Demir, E., Topal, A., & Karamaşa, Ç. (2023). Supply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID‐19 Pandemic Using the Novel
• Rough MCDM Model. Complexity, 2023(1), 3478719.
• Stonkute, E. (2015). A literature review on the linkage between supply chain challenges and key success factors for small and medium size enterprises. Organizacijø Vadyba: Sisteminiai Tyrimai, (74), 121.
• Sureka, A. (2020). 7 Practical Benefits of AI for SMEs You Need to Know. Retrieved from https://www.clariontech.com/platform-blog/7-practical-benefits-of-ai-for-smes-you-need-to-know.
• Tang, O., & Musa, S. N. (2011). Identifying risk issues and research advancements in supply chain risk management. International journal of production economics, 133(1), 25-34.
• Thun, J. H., Drüke, M., & Hoenig, D. (2011). Managing uncertainty–an empirical analysis of supply chain risk management in small and medium-sized enterprises. International Journal of Production Research, 49(18), 5511-5525.
• Timilsena, Y. P., Haque, M. A., & Adhikari, B. (2020). Encapsulation in the food industry: A brief historical overview to recent developments. Food and Nutrition Sciences, 11(6), 481-508.
• Tiwari, A. K., Nasreen, S., Shahbaz, M., & Hammoudeh, S. (2020). Time-frequency causality and connectedness between international prices of energy, food, industry, agriculture and metals. Energy Economics, 85, 104529.
• Tomlinson, P. R., & Fai, F. M. (2013). The nature of SME co-operation and innovation: A multi-scalar and multi- dimensional analysis. International Journal of Production Economics, 141(1), 316-326.
• Trienekens, J. H., Wognum, P. M., Beulens, A. J., & van der Vorst, J. G. (2012). Transparency in complex dynamic food supply chains. Advanced engineering informatics, 26(1), 55-65.
• Tripathy, S., Aich, S., Chakraborty, A., & Lee, G. M. (2016). Information technology is an enabling factor affecting supply chain performance in Indian SMEs: a structural equation modelling approach. Journal of Modelling in Management, 11(1), 269-287.
• Ünal, E., Urbinati, A., & Chiaroni, D. (2019). Managerial practices for designing circular economy business models: The case of an Italian SME in the office supply industry. Journal of manufacturing technology management, 30(3), 561-589.
• Ünal, S., Deveci, F. G., & Yildiz, T. (2019). Do we know organic food consumers? The personal and social determinants of organic food consumption. Istanbul Business Research (IBR), 48(1), 1-35.
• Vanderroost, M., Ragaert, P., Devlieghere, F., & De Meulenaer, B. (2014). Intelligent food packaging: The next generation. Trends in food science & technology, 39(1), 47-62.
• Van Hoof, B., & Thiell, M. (2014). Collaboration capacity for sustainable supply chain management: small and medium-sized enterprises in Mexico. Journal of Cleaner Production, 67, 239-248.
• Walker, T. R., McGuinty, E., Charlebois, S., & Music, J. (2021). Single-use plastic packaging in the Canadian food industry: Consumer behavior and perceptions. Humanities and Social Sciences Communications, 8(1), 1-11.
• Willenbacher, M., Scholten, J., & Wohlgemuth, V. (2021). Machine learning for optimization of energy and plastic consumption in the production of thermoplastic parts in SME. Sustainability, 13(12), 6800.
• Wisner, J. D. (2003). A structural equation model of supply chain management strategies and firm performance. Journal of Business logistics, 24(1), 1-26.
• Wognum, P. N., Bremmers, H., Trienekens, J. H., Van Der Vorst, J. G., & Bloemhof, J. M. (2011). Systems for sustainability and transparency of food supply chains–Current status and challenges. Advanced engineering informatics, 25(1), 65-76.
• Wong, L. W., Leong, L. Y., Hew, J. J., Tan, G. W. H., & Ooi, K. B. (2020). Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs. International Journal of Information Management, 52, 101997.
• Wooi, G. C., & Zailani, S. (2010). Green supply chain initiatives: investigation on the barriers in the context of SMEs in Malaysia. International Business Management, 4(1), 20-27.
• Xia, Y., Xu, T., Wei, M. X., Wei, Z. K., & Tang, L. J. (2023). Predicting chain’s manufacturing SME credit risk in supply chain finance based on machine learning methods. Sustainability, 15(2), 1087.
• Yıldırım, S., & Kantarcı, T. (2022). A review on sustainability policies of businesses: Recycling and waste reduction. Journal of Recycling Economy & Sustainability Policy, 1(1), 1-9.
• Zaridis, A., Vlachos, I., & Bourlakis, M. (2021). SMEs strategy and scale constraints impact on agri-food supply chain collaboration and firm performance. Production Planning & Control, 32(14), 1165-1178.
• Zhang, L., Hu, H., & Zhang, D. (2015). A credit risk assessment model based on SVM for small and medium enterprises in supply chain finance. Financial Innovation, 1(1), 1-21.
• Zhao, G., Liu, S., Lopez, C., Lu, H., Elgueta, S., Chen, H., & Boshkoska, B. M. (2019). Blockchain technology in agri- food value chain management: A synthesis of applications, challenges and future research directions. Computers in industry, 109, 83-99.
• Zhu, Y., Xie, C., Wang, G. J., & Yan, X. G. (2017). Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance. Neural Computing and Applications, 28, 41-50.
• Zhu, Y., Zhou, L., Xie, C., Wang, G. J., & Nguyen, T. V. (2019). Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. International Journal of Production Economics, 211, 22-33.