Skip to main content

PERSPECTIVE article

Front. Sustain., 22 December 2022
Sec. Quantitative Sustainability Assessment

Digital transformation for improving sustainable value of products and services from agri-food systems

\nRoosevelt Fabiano Moraes da Silva,,
&#x;Roosevelt Fabiano Moraes da Silva1,2,3*Matheus Papa,&#x;Matheus Papa1,2Ivan Bergier,,&#x;Ivan Bergier1,2,4Stanley Robson Medeiros de Oliveira,Stanley Robson Medeiros de Oliveira1,2Sergio Aparecido Braga da CruzSergio Aparecido Braga da Cruz1Luciana Alvim Santos RomaniLuciana Alvim Santos Romani1Silvia Maria Fonseca Silveira Massruh,Silvia Maria Fonseca Silveira Massruhá1,2
  • 1Empresa Brasileira de Pesquisa Agropecuária – Embrapa Agricultura Digital, Campinas, SP, Brazil
  • 2Faculdade de Engenharia Agrícola – FEAGRI, Universidade de Campinas – Unicamp, Campinas, SP, Brazil
  • 3Instituto Federal de Educação Ciência e Tecnologia do Mato Grosso do Sul – IFMS, Corumbá, MS, Brazil
  • 4Empresa Brasileira de Pesquisa Agropecuária – Embrapa Pantanal, Corumbá, MS, Brazil

Value is routinely concentrated at the final links of food production chains as a consequence of market failures or asymmetries that distribute wealth unevenly in agri-food supply systems. Otherwise, for products with a geographic origin, the share can be more equitably distributed by adding environmental, sociocultural or technological values to products associated with sustainable models. Protecting a geographic indication (GI) of value-added products requires complex collective rules of sui generis systems, certified trademarks or business practices, including the approval of protocols or even unfair protection suitlaws. These rules are created on multilevel legislations gathering intrinsic cultural, historical and economic features. As a result, GI schemes are typically costly thus preventing access of general smallholders in product-valued chains. Digital technologies like mobile applications have a promising role in minimizing these limitations along food production chains, from pre-production to production and post-production. The pervasive spread of mobile devices with useful built-in sensors can be therefore a major consequence of the digital transformation in agriculture by means of intuitive applications combined with high-level technologies such as cloud/edge computing and Application Programming Interfaces (APIs). In this article, we present a new perspective on the digital transformation of the agri-food sector that may fasten smallholders' inclusion and access in market ecosystems of value-added products with GI. Such perspective demands the understanding of stakeholders networks for customizing mobile applications for digital authentication of product GI. The approach can foster new compliance schemes as those embedded in Environmental, Social and Governance (ESG) market initiatives.

Introduction

The world's need for food has been growing annually, which demands innovation to increase the sustainability of chains of food production, distribution and consumption (Opara, 2003), in consonance with the United Nations Sustainable Development Goals—SGD (Hák et al., 2016). Therefore, major stakeholders in the agri-food sectors (producers, industries, technology, and business companies) have been encouraged to proactively seek for sustainable and transparent food delivery to people (Agnusdei and Coluccia, 2022).

At the same time, the agri-food sector is currently experiencing large-scale crises due to climate change and natural resources depletion (Brown et al., 2015; McGreevy et al., 2022), which is challenging those responsible for sustainably feeding a growing world population (Klerkx and Rose, 2020). Currently, our ability to map agribusiness through massive amounts of data, satellite imagery or unmanned aerial vehicles has powerful implications for public policy and business strategies, so the agri-food sector can, in principle, trace food origins and processing (Opara, 2003). Hence, making agri-food markets sustainable and competitive from small to large players is a big challenge because new digital technologies and production processes emerge every day, integrating stakeholders in more or less centralized topologies, which can accentuate or attenuate information failure (asymmetries) in production networks (Chen et al., 2022).

Figure 1 depicts the interconnections of the following sections highlighting the new perspectives on the digital transformation in the agri-food sector that may fasten smallholders' inclusion in market ecosystems by adding digital value to rural products.

FIGURE 1
www.frontiersin.org

Figure 1. Flowchart of sections interconnections.

The ease of access of smallholders to mobile applications potentially increases “glocal” (Svensson, 2001; Deblonde, 2015) economic, environmental and sociocultural values for rural products and services, particularly those assisted by protocols aiming at mitigating market asymmetries. In addition, digital transformation can provide organized data and metadata for public and private audits and compliance, which can also be interesting for academic research and commercial innovation aimed at studying and improving the sustainability of products and services with “glocal” values.

Market asymmetries in food production systems

A valuable resource in business is information, essential for the pursuit of the main goals of business transactions and necessary for collaboration and the elimination of inefficiencies. Despite its importance, many companies do not want or cannot share confidential data that could be beneficial to all links in production chains and regulating institutions (Michalski et al., 2018). Thus, market asymmetries occur in a network when one of the parties involved in the business has preferential access to information (Ullah et al., 2020), thereby acquiring advantages from better fitness among the network nodes (Perera et al., 2017). There are many aspects that influence market asymmetries, such as private information about demands, costs, quality and even barriers not evident in the whole system (Vosooghidizaji et al., 2020). That provides new research opportunities to develop responsible digital innovation (Deblonde, 2015) with different approaches and mechanisms to reduce these symmetries and maximize the access and distribution of information in agribusiness network systems.

As with other businesses, agri-food markets evolve in such a way that fitness advantages (Bianconi and Barabási, 2001; Perera et al., 2017) inherently tend to lead to asymmetries in specific linkages that affect the global food system as a whole. Therefore, in connection with many SDG (Hák et al., 2016), overcoming these asymmetries by bringing together and including marginalized smallholders in large market networks with socio-environmental responsibility emerges as a major challenge for the sustainability of current and future generations (Yatsenko et al., 2019; McGreevy et al., 2022). The availability of authenticated and up-to-date information about market operations is at the core of a product efficiency system. For agri-food market chains, the higher self-consciousness of these systems increase the level of food reliability, the trust in network intermediation, and the compliance with sustainability standards. Nonetheless, small and medium-sized rural producers, especially in emerging economies, rarely seek to engage in such systems particularly due to large complexity and high costs of authentication and certification services, which result in a feedback loop that reinforces market failures and asymmetries (Sun and Wang, 2019; Chen et al., 2022). Information digitization and the use of accessible and emerging digital technologies could reduce the aforementioned market failures, making the distribution of information and value more equitable for sustainable production models such as Environmental, Social and Governance (ESG) financial initiatives. In particular, reputation and insurance effects are important mechanisms through which ESG performance can influence stock prices. In fact, ESG effects are considerably pronounced among firms with low human capital and poor image and in high-impact regions (Li et al., 2022).

Under these spotlights, the emergence of opportunities with political and economic will for innovation in ESG business models seems reasonable. In this article, we focus on the perspective of the most promising digital solution that can facilitate marginalized farmer's access to Geographical Indication (GI) protocols as an alternative to minimize asymmetries in food markets with a focus on SGD 1, 2, 8, 9, 10, 12, and 17 (Hák et al., 2016).

World system of GI

A GI is an intellectual property mechanism that can be applied to both products and services, characterized by the place of origin where they were collected, produced or manufactured, which must involve elements of environmental, historical specificities, and sociocultural aspects of these places (Medeiros et al., 2016). In general, GI is currently seen and conceived as a protection system, a marketing tool, a rural development device and a means of conservation or preservation of the Earth's natural capital (Chen, 2021).

The use and protection of a GI is not nevertheless a simple task, whether for a value-added product or service, as it requires those involved to comply with complex collective rules of sui generis systems, certified trademarks and business practices. This complex system must also include compliance with specific protocols, environmental protection laws, as well as national and international (multilevel) legislations addressing cultural, historical and economic features that are important and intrinsic to the process. With such bureaucratic and complicated processes, GI schemes often end up as expensive as complicated to attend, which make it difficult to access chains of value-added products and services duly indicated by most smallholders.

Simplified digital GI for smallholders to minimize market asymmetries

Food and other rural products registered with a digital GI have emerging implications such as the development of gastronomy-oriented tourism, which positively affects other economic gears (Pamukçu et al., 2021). For instance, consumers of the Italian eucalyptus honey consider the GI an important factor for sustaining the product consumption (Palmieri et al., 2022). In general, members of the European Community are the most interested in protecting GI assets. The Brazilian GI is in a process of expansion and consolidation, indicating an economic perspective for typical products and services of particular locations or regions that preserve traditions and cultural specificities (Gonçalves et al., 2019). Actually, in Brazil there are several examples of GI as shown by the Ministry of Agriculture, Livestock and Food Supply,1 with nine international and nearly 70 national GI registers.

The widespread adoption of information technology and communication in protected GI of products and services, associated with ESG protocols, is a promising future for reducing asymmetries in agri-food markets, therefore creating suitable digital cyberspaces for long-term sustainable development. In turn, the amplification of cyberspaces potentially increases the fitness (Bianconi and Barabási, 2001; Perera et al., 2017) of smallholder nodes in real national and international agri-food network systems (Sgroi, 2021).

Therefore, this perspective article conjectures that public policies that ensure broad access to easy, intuitive, and low-cost digital technologies to smallholders, should become commonplace (Deblonde, 2015). Particularly those technologies based on mobile (smartphone) applications and Application Program Interfaces (APIs), GI initiatives, conforming to ESG initiatives for rural products and services. These are current demands in line with global markets and people moving toward rational consumption of products and services (Li et al., 2022; O'Hearn et al., 2022; Palmieri et al., 2022).

Discussion

Smallholders with no access to digital technology have problems in complying with protocols that potentially add “glocal” value for their products and services. On the other hand, that makes it difficult for large companies (the network hubs) to access and share market value in the market ecosystems of smallholders. The mental map in Figure 2 summarizes these issues arising from the lack of digital technology of information and communication for improving market dynamics.

FIGURE 2
www.frontiersin.org

Figure 2. Mental map of current smallholders access to the market ecosystem.

The technology embedded in mobile devices is here envisaged as a major driver of the agri-food digital transformation. Information and communication technology works toward a greater integration between producers and large companies, as shown in Figure 3, helping in the growth, efficiency and valorization of products and services with the digital certification of origins in rural areas (França et al., 2020).

FIGURE 3
www.frontiersin.org

Figure 3. Mental map of smallholders access to the market ecosystem with digital transformation.

Currently, much of the satellite-based technologies, such as CMOS and GNSS sensors (GPS/GLONASS/GALILEO/COMPASS), are incorporated into smartphones, thus accessible and useful in everyday life of people. A clear example of digital disruption induced by the massive use of sensors embedded in smartphones can be seen in the transportation sector (Heiskala et al., 2016). Similarly, digital applications development for mobile devices in the agri-food sector might be the triggering of a digital transformation that maximizes national and international agri-food systems performances looking at “glocal” sustainability.

Digital transformation is primarily responsible for a drastic reduction in transaction costs by shortening the mean pathlength among network nodes in the market ecosystems (dotted line in Figure 3), therefore strengthening trustful ties between node stakeholders, and for an enhancement of compliance with environmental and sociocultural values, paving the way for a convergence between collective and private interests. In the future, the main link between both smallholders and large companies to the market ecosystems may consolidate as the dotted line in Figure 3 via digital transformation.

The key elements of the digital transformation for the success of initiatives that seek to combine IG and ESG in the agri-food sector are associated with the acquisition of authenticated digital data and metadata from smartphones and data accessibility via APIs. Two examples of Brazilian initiatives are presented in Romani et al. (2020) and Bergier et al. (2021). Both innovations rely on making public and private accesses of agri-food data and metadata via API, namely the AgroAPI2platform, an initiative of the Brazilian Agricultural Research Corporation and partners.

The development of new tools and the analysis of agri-food networks depend on data that are often not collected or publicly available (Valerio et al., 2020). AgroAPI is an API platform for accessing data, information and models in order to add value to the agricultural ecosystem. A variety of applications (apps and web systems) can be developed from the APIs available in AgroAPI, which provide decision support to farmers. The platform contributes to expanding the digital transformation in the field, strengthening the principles of Digital Agriculture (Romani et al., 2020).

Future perspectives

Digital transformation is a one-way route to uncover currently hidden innovations that can promote the integration of ESG and GI of rural products and services but can also open new frontiers to the study and analysis of complex agri-food networks. For instance, cloud/edge computing and API can be integrated in blockchain (Yano et al., 2020) and artificial intelligence (Patrício and Rieder, 2018) applications. As a result, digital transformation in the agri-food sector, and the associated gains of scientific knowledge on these changes, can substantially contribute to the elaboration of useful guidelines for public policies and for decision-making to the fair and responsible trade in agri-food systems.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Funding

This work has been partially funded by CNPq (137708/2019-0, 124814/2020-4, 155617/2021-4, and 440011/2020-5) and Embrapa (22.16.05.021 and 23.16.05.007) R&D grants.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Footnotes

References

Agnusdei, G. P., and Coluccia, B. (2022). Sustainable agri-food supply chains: bibliometric, network and content analyses. Sci. Total Environ. 824, 153704. doi: 10.1016/j.scitotenv.2022.153704

PubMed Abstract | CrossRef Full Text | Google Scholar

Bergier, I., Papa, M., Silva, R., and Santos, P. M. (2021). Cloud/edge computing for compliance in the Brazilian livestock supply chain. Sci. Total Environ. 761, 143276. doi: 10.1016/j.scitotenv.2020.143276

PubMed Abstract | CrossRef Full Text | Google Scholar

Bianconi, G., and Barabási, A.-L. (2001). Competition and multiscaling in evolving networks. Europhys. Lett. 54, 4.436. doi: 10.1209/epl/i2001-00260-6

CrossRef Full Text | Google Scholar

Brown, M., Antle, J., Backlund, P., Carr, E., Easterling, B., Walsh, M., et al. (2015). Climate change, Global Food Security and the US Food System. Availabe online at: http://www.usda.gov/oce/climate_change/FoodSecurity2015Assessment/FullAssessment.pdf. doi: 10.7930/J0862DC7 (accessed November 30, 2022).

Chen, N. H. (2021). Geographical indication labelling of food and behavioural intentions. Br. Food J. 123, 4097–4115. doi: 10.1108/BFJ-06-2020-0552

CrossRef Full Text | Google Scholar

Chen, W., Zhang, L., Jiang, P., Meng, F., and Sun, Q. (2022). Can digital transformation improve the information environment of the capital market? Evidence from the analysts' prediction behaviour. Account. Finance 62.2, 2543–2578. doi: 10.1111/acfi.12873

CrossRef Full Text | Google Scholar

Deblonde, M. (2015). Responsible research and innovation: building knowledge arenas for glocal sustainability research. J. Responsible Innov. 2.1, 20–38. doi: 10.1080/23299460.2014.1001235

CrossRef Full Text | Google Scholar

França, R. S., Ziviani, F., and de Muylder, C. F. (2020). Agricultural digitalisation and digital transformation: the future of agricultural competitive excellence in the 4.0 Environment. Braz. J. Dev. 6, 7240–7260. doi: 10.34117/bjdv6n2-140

CrossRef Full Text | Google Scholar

Gonçalves, L. A. S., Almeida, B. A., and Bastos, E. M. S. (2019). Panorama das indicações geográficas no Brasil. Rev. Desenvolv. Econ. 3, 41. doi: 10.21452/rde.v3i41.5805

CrossRef Full Text | Google Scholar

Hák, T., Janouškov,á, S., and Moldan, B. (2016). Sustainable development goals: a need for relevant indicators. Ecol. Indic. 60, 565–573. doi: 10.1016/j.ecolind.2015.08.003

CrossRef Full Text | Google Scholar

Heiskala, M., Jokinen, J. P., and Tinnilä, M. (2016). Crowdsensing-based transportation services—an analysis from business model and sustainability viewpoints. Res. Transp. Bus. Manag. 18, 38–48. doi: 10.1016/j.rtbm.2016.03.006

CrossRef Full Text | Google Scholar

Klerkx, L., and Rose, D. (2020). Dealing with the game-changing technologies of Agriculture 4.0: how do we manage diversity and responsibility in food system transition pathways? Glob. Food Sec. 24, 100347. doi: 10.1016/j.gfs.2019.100347

CrossRef Full Text | Google Scholar

Li, Z., Feng, L., Pan, Z., and Sohail, H. M. (2022). ESG performance and stock prices: evidence from the COVID-19 outbreak in China. Humanit. Soc. Sci. Commun. 9, 1–10. doi: 10.1057/s41599-022-01259-5

PubMed Abstract | CrossRef Full Text | Google Scholar

McGreevy, S. R., Rupprecht, C. D., Niles, D., Wiek, A., Carolan, M., Kallis, G., et al. (2022). Sustainable agrifood systems for a post-growth world. Nat. Sustain. 5, 1011–1017. doi: 10.1038/s41893-022-00933-5

CrossRef Full Text | Google Scholar

Medeiros, M. L., Passador, C. S., and Passador, J. L. (2016). Implications of geographical indications: a comprehensive review of papers listed in CAPES' journal database. Rev. Adm. Inov. 13, 315–329. doi: 10.1016/j.rai.2016.09.002

CrossRef Full Text | Google Scholar

Michalski, M., Montes-Botella, J. L., and Narasimhan, R. (2018). The impact of asymmetry on performance in different collaboration and integration environments in supply chain management. Supply Chain Manag. 23, 33–49. doi: 10.1108/SCM-09-2017-0283

CrossRef Full Text | Google Scholar

O'Hearn, M., Gerber, S., Cruz, S. M., and Mozaffarian, D. (2022). The time is ripe for ESG+ nutrition: evidence-based nutrition metrics for environmental, social, and governance (ESG) investing. Eur. J. Clin. Nutr. 1–6. doi: 10.1038/s41430-022-01075-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Opara, L. U. (2003). Traceability in Agriculture and Food Supply Chain: A Review of Basic Concepts, Technological Implications, and Future Prospects. Availble online at: https://agris.fao.org/agris-search/search.do?recordID=FI2016100260 (accessed November 30, 2022).

Palmieri, N., Stefanoni, W., Latterini, F., and Pari, L. (2022). Italian consumer preferences for eucalyptus honey: an exploratory study. Sustainability 14, 7741. doi: 10.3390/su14137741

CrossRef Full Text | Google Scholar

Pamukçu, H., Saraç, Ö., Aytugar, S., and Sandikçi, M. (2021). The effects of local food and local products with geographical indication on the development of tourism gastronomy. Sustainability 13, 6692. doi: 10.3390/su13126692

CrossRef Full Text | Google Scholar

Patrício, D. I., and Rieder, R. (2018). Computer vision and artificial intelligence in precision agriculture for grain crops: a systematic review. Comput. Electron. Agric. 153, 69–81. doi: 10.1016/j.compag.2018.08.001

CrossRef Full Text | Google Scholar

Perera, S., Bell, M. G., and Bliemer, M. C. (2017). Network science approach to modelling the topology and robustness of supply chain networks: a review and perspective. Appl. Netw. Sci. 2, 1–25. doi: 10.1007/s41109-017-0053-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Romani, L. A. S., Bariani, J. M., Drucker, D. P., Vaz, G. J., Mondo, V. H. V., Moura, M. F., et al. (2020). Role of research and development institutions and agtechs in the digital transformation of agriculture in Brazil. Revista Ciência Agronômica. 51, 1–8. doi: 10.5935/1806-6690.20200082

CrossRef Full Text | Google Scholar

Sgroi, F. (2021). Food traditions and consumer preferences for cured meats: role of information in geographical indications. Int. J. Gastron. Food Sci. 25, 100386. doi: 10.1016/j.ijgfs.2021.100386

CrossRef Full Text | Google Scholar

Sun, S., and Wang, X. (2019). Promoting traceability for food supply chain with certification. J. Clean. Prod. 217, 658–665. doi: 10.1016/j.jclepro.2019.01.296

CrossRef Full Text | Google Scholar

Svensson, G. (2001) “Glocalization” of business activities: a “glocal strategy” approach. Manag. Decis. 39, 6–18. doi: 10.1108/EUM0000000005403.

Ullah, A., Arshad, M., Kächele, H., Khan, A., Mahmood, N., Müller, K., et al. (2020). Information asymmetry, input markets, adoption of innovations and agricultural land use in Khyber Pakhtunkhwa, Pakistan. Land Use Policy 90, 104261. doi: 10.1016/j.landusepol.2019.104261

CrossRef Full Text | Google Scholar

Valerio, V. C., Walther, O. J., Eilittä, M., Cissé, B., Muneepeerakul, R., Kiker, G. A., et al. (2020). Network analysis of regional livestock trade in West Africa. PLoS ONE15, e0232681. doi: 10.1371/journal.pone.0232681

PubMed Abstract | CrossRef Full Text | Google Scholar

Vosooghidizaji, M., Taghipour, A., and Canel-Depitre, B. (2020). Supply chain coordination under information asymmetry: a review. Int. J. Prod. Res. 58, 1805–1834. doi: 10.1080/00207543.2019.1685702

CrossRef Full Text | Google Scholar

Yano, I., Castro, A., Cançado, G. M. A., and Silva, F. C. (2020). “Storing data of sugarcane industry processes using blockchain technology,” in: XL Encontro Nacional de Engenharia de Produção - Contribuições da Engenharia de Produção para a Gestão de Operações Energéticas Sustentáveis. Foz do Iguaçu, Paraná, Brasil, 20-23, Oct. 2020. Available online at: https://www.alice.cnptia.embrapa.br/bitstream/doc/1126140/1/PC-Storing-data-ENEGEP-2020.pdf (accessed November 30, 2022).

Yatsenko, ?. M., Yatsenko, O. V., Nitsenko, V. S., Butova, D. V., and Reva, O. V. (2019). Asymmetry of the development of the world agricultural market. Financ. Credit Act. Probl. Theory Pract. 3, 423–434. doi: 10.18371/fcaptp.v3i30.179821

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: digital inclusion, data accessibility, ESG, geographic indication, traceability

Citation: Silva RFMd, Papa M, Bergier I, Oliveira SRMd, Cruz SABd, Romani LAS and Massruhá SMFS (2022) Digital transformation for improving sustainable value of products and services from agri-food systems. Front. Sustain. 3:1048701. doi: 10.3389/frsus.2022.1048701

Received: 19 September 2022; Accepted: 05 December 2022;
Published: 22 December 2022.

Edited by:

Carlo Ingrao, University of Bari Aldo Moro, Italy

Reviewed by:

Mahak Sharma, Birla Institute of Management Technology, India

Copyright © 2022 Silva, Papa, Bergier, Oliveira, Cruz, Romani and Massruhá. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Roosevelt Fabiano Moraes da Silva, yes cm9vc2V2ZWx0LnNpbHZhJiN4MDAwNDA7aWZtcy5lZHUuYnI=

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.