INTRODUCTION
The agricultural sector plays a significant role in global and regional development. However, despite its strategic importance, too little attention is still paid to building the key elements in creating value and establishing sustainable practices in business processes . The key elements of strategic planning, decision-making, and management in complex systems such as agriculture are (i) using and integrating the emerging digital technologies; (ii) the circular approach and participation; (iii) transferring the knowledge and the appropriate policies into agricultural business process practices1-6. An approach that combines these key features improves the business performance5 but also creates sustainable agricultural value1. The framework for sustainable value creation in the agricultural sector1 focuses on activities creating value currently and in the future, and it includes maintaining the internal environment but also emphasizes simultaneous interaction with the external surrounding. Therefore, the integration of the following nine aspects: cooperation; inclusion; financing; diversification; communication; policies; knowledge with entrepreneurship; and production enables the creation of sustainable values. The key tool for the integration of these aspects is the data sharing (either as re-using of the open data or as contractual sharing), enabled by the effective data governance7-14. Sustainable data-based value creation is a common approach that allows different stakeholders to influence decisions at different governmental levels of a complex structure2. In this research, we focused the circular perspective of the agricultural data ecosystem on the cooperation of all stakeholders and investigated data sharing needs based on the key characteristics and role of individual stakeholders in the sector and their role in the supply and demand for data. Cooperation and collaboration between the stakeholders in the agricultural sector through engagement, motivation and capacity to act together enables economic opportunities and ensures equal access to information and resources. It also contributes to the promotion of best management practices, the ones crucial for sustainable development and promoting effective resource management3-5,14,15-17. However, despite the focus on joint planning and management in agricultural operations, at the moment the effective cooperation remains limited2. The reasons are the complexity of the agricultural system, the large number of stakeholders with different perspectives, interests, values and concerns regarding business processes2 which operate in an ecosystem where data and information exchange is lacking or is decentralized6. The open data ecosystem is a concept developed by emerging governments to encourage sharing and reuse of data, and as such includes key components which are policies for legal context, standards for interoperability, and an access network available for all stakeholders in the ecosystem18,19. Open data ecosystem performance can be observed through three types of output indicators, namely data supply, data governance and user characteristics18. Open governmental data is an important part of the agricultural data ecosystem, however, creating value in this sector requires also a significant portion of different contractual data sharing14. This research contributes to the usage and value elucidation of open and shared data in the agricultural data ecosystem by defining and prioritizing the stakeholders through queries of open source databases, by discovering the data needs based on the stakeholder groups and alliances as well as the assigning the level of influence for the data supply in this data rich sector. The revealing of the potential for the development of data supply, taking into account stakeholder relations, will enable the development of a more resilient and sustainable ecosystem fo4r agricultural data sharing in Croatia. In the Croatian agricultural sector, data are often vague, scattered or not easily accessible20, and in many cases when farmers (SMEs) are to obtain management, market or2 other information, they rely on informal channels such as a personal network of agricultural contacts (personal account and spoken-information). The farmers' associations, governmental and business advisory services do not yet recognize the valuable potential of the data, therefore, it is important to understand the groups of stakeholders and their relationships in the agricultural open data ecosystem in order to address the needs and problems of the data and information exchange and to formulate strategies and recommendations for further sector development. The objectives of this research are as follows: 1) to identify all present and potential stakeholders in the agricultural open data ecosystem in Croatia and categorize them into key groups, 2) to define data sharing in this ecosystem, based on relationships between stakeholders and their role in the supply and demand for data, 3) to add to the knowledge of the key elements of the agricultural open data ecosystem in Croatia and prioritize further research.
METHODOLOGY AND MATERIALS
Stakeholder analysis (SA) is an approach used to define and understand a complex network of actors focusing on identifying key stakeholders, assessing their interests and needs, and clarifying how they can impact sustainability and improve processes in a particular research field21,22. This research is based on the stakeholder methodology approach developed by Grimle and Chan22,23, where they consider the stakeholder analysis as a powerful tool for analysing the situation of the field, formulating policies, and developing programs based on an approach of understanding the observed system, changing it, identifying key actors or stakeholders and assessing their interests in the system. Lelea et al. conducted a transdisciplinary study in the field of agricultural and food systems where they developed a methodology for stakeholder analysis24. Figure 1 shows the four steps of the information collection, classification and validation analysis used for stakeholder analysis in the agricultural data sharing ecosystem in Croatia. In our research we have focused on the selecting of an activity system in agricultural sector and centering the issue to be addressed to data sharing. In the stakeholder’s analysis we have focused to identify and characterize the actors based on the initial categorization of the stakeholder groups (Figure 2): (i) Agricultural producers/ farmers; (ii) Management and support organisations; (iii) Consumer organisations/ consumers; (iv) Researchers and scientists and (v) Suppliers. These groups were the basis for selecting the participants for our research24. Identification of stakeholders in key groups was made based on the on-line queries. Stakeholder characterisation and the research of their roles in data supply and demand in the sector, as well as a proposal for integration and their potential contribution to the development of a collaborative network and data sharing model, were obtained from the queries, direct observations and interviews. Stakeholder interviews were conducted as an important source of qualitative information in this stakeholder analysis25. Validation of stakeholders as data providers was carried out by this research group based on information collected from interviews and direct observation.
Step 1: Identifying stakeholders Open access repositories of scientific and professional publications were chosen for the initial stakeholder identification. Digital Academic Archives and Repositories (Dabar) and the Portal of Croatian scientific and professional journals – Hrčak were queried for scientific publications. Professional journals from Hrčak were searched by field, focusing on the journals in the field of agriculture (section: “agronomy”). The complex query: "stakeholder" OR "persons" OR "actors" OR "agriculture" OR "agriculture business" OR "farms" OR "agriculture sector" OR "agriculture area" OR "agriculture field" AND "open data" was used for search of the national databases Hrčak and Dabar26. As shown in Table 1, a search based on a complex query in the Hrčak database resulted in a total of 63 literature sources. This query did not yield a result in the Dabar database, i.e. it resulted in 0 articles found. Therefore, a simplified query was used in Dabar with the keywords “agriculture” and “stakeholders” and resulted in 18 literature sources. In the Hrčak database, a search of professional journals resulted in 24 journals in the field of agriculture. An important aspect of stakeholder analysis is based on differentiating and classifying stakeholders according to their roles in the ecosystem. This form of categorization enables the grouping of stakeholders according to similar characteristics in order to identify those of strategic importance9. Identification of relationships between all stakeholders can help determine how stakeholders could engage in an open data ecosystem for policy implementation, support the decision-making of sustainable development, and manage business processes. Building on the defined basic categorization of stakeholder groups in the agricultural sector in Croatia26 the stakeholders identified in the queries were classified and the new grouping was used in further data supply influence assessment and alliance flow chart production encompassing also the data demand side, as well as for the final prioritization (Figure 2). influence To identify the basic characteristics and roles of individual stakeholders in the agricultural data ecosystem, to investigate their data requirements, as well as the data that are the result of their work, field research was performed including direct observation and semi-structured interviews with the following questions (in Croatian): 1) What is your role, as a stakeholder, in the agricultural sector? 2) Which of the 5 stakeholder groups do you have the most cooperation and interaction with? Can you specify? 3) Do you share your management/business/product data with any of the 5 stakeholder groups? Can you specify to whom and how? 4) From the stakeholders identified in question 2, do you require/use any data sets and can you specify? Would it be useful to you to get some data for your business from some other entity you are currently not cooperating with? A breakdown of the main stakeholder groups (Figure 2) provided the structure for interviewing the representatives of the five stakeholder groups. In total, 24 interviews were used for validation: 5 interviews per group of stakeholders were performed with representatives of Agriculture producers/Farmers, the group of Suppliers and the group of Customer Organization/Consumer; and 3 interviews per group of stakeholders were performed with representatives of Management and Support Organizations, as well as the Researchers/Scientists from the field of agricultural sciences. The additional 3 representatives were interviewed from the group of other stakeholders after the classification of the query results. Characteristics and roles of stakeholders were additionally supplemented with 15 sets of direct observations for the 10 of the interviewed stakeholders (3 from Management and Support Organizations, 3 from Suppliers, 2 from Researchers/Scientists, and 2 from Agriculture producers/Farmers) and the randomly selected 5 additional representatives from each of the stakeholder groups. All available sources, including official web sites and on-line available documents, were reviewed for (i) the data needs, (ii) data sharing and (iii) data sharing possibilities. Step 3: Validation of information gathered on stakeholders and data supply and demand Qualitative data from the interviews were used to extract the information on data needs and data sharing of the stakeholders and stakeholder groups. Also for the data opening and sharing supply assessment and to formulate the alliance's flowchart. The alliances flowchart contains information on the stakeholder group relevance in the system, the data supply influence and the alliances derived from the interviews, direct observation and the query results. Current data supply influence assessment was estimated on a scale of 1 to 3, where (i) 1 is considered as stakeholder data openness or sharing not known or exceptional; (ii) 2 is considered as stakeholder data known to share, some data known to be open; (iii) 3 is considered as stakeholder relevant open data supplier or data sharer. The interview results and the direct observation from the previous research step were used for this assessment according to this research group's judgment. Scoring results were included in the alliances flowchart to distinguish the groups assessed as relevant data suppliers, as well as to distinguish a specific stakeholder relevant in the stakeholder group, but scoring low as data supplier. Query results provided the number of the references in common for specific stakeholders and stakeholder groups. This information was used as an indicator of the stakeholder interactions and supplemented the interview and observation information for the final alliances flowchart. The level of importance of each stakeholder and stakeholder group used for the alliances flowchart was derived from the frequencies of the queried references shown in Table 2. Based on the collected data, the relations between stakeholders were constructed27,28,29. Step 4: Analysis of the level of the stakeholder importance with respect to current data supply Finally, to discover the relevant priority groups for further focus in open data ecosystem maturation, we have imposed the level of the stakeholder importance (derived from the number of the query references) to the level of the stakeholder influence to the data supply24.RESULTS
Key stakeholders in Croatia The content of the found articles was analysed, and special emphasis has been placed on identifying specific stakeholders operating in or in relation to the agriculture sector. All stakeholders identified in the articles are classified to the key stakeholder groups as shown in Table 2. Additional group (Others) was formed containing the stakeholders that could not be classified to the one of the initial five stakeholder groups at all, or exclusively.
Table 2. Identified stakeholders in the agricultural data ecosystem in Croatia
Agriculture producers/Farmers |
owners of agricultural land30,31 milk producers32 animal breeders, cattle breeders33 vegetable producers36 forestry entrepreneurs37 fish farmers, fishermen38 producers of organic agriculture products39 flower producers40 wine and winery producers41 energy plantations42 family farms, local farms, rural holdings39,43 processors of agricultural products (milk, meat, fruits, vegetables)44 mushroom growing45 |
Suppliers |
manufacturers of technological solutions and mechanization in agriculture46 hatcheries, rearing parent stock47 seedling growers48 manufacturers of plant protection products45,48 agriculture machinery market49 agricultural cooperatives49 forest owners31 landowners31 |
Management and Support Organization |
Ministry of Agriculture; Croatian Agency for Agriculture and Food; Agency for Payments in Agriculture, Fisheries and Rural Development50,51 Croatian Agricultural Advisory Service52 national training providers in the agricultural sector37 agriculture local action groups41 developed agencies in rural development and agriculture41 independent consultants in agriculture41 agriculture producers cooperatives and local creators of agricultural programs53 issuers of certificates in agriculture54 Croatian Meteorological and Hydrological Service55 meteorological stations56 the institutional Animal Care and Ethics Committee50 State Geodetic Administration57 Croatian Veterinary Institute, veterinary institute58 Croatian Agricultural Society48,59 Croatian Society of Plant Sciences45 |
Consumer Organizations/Consumers |
business entities in tourism60 private accommodation, hotels61 organized gastronomic events62 local population, household39 buyers of agricultural products49 |
Researches and Scientists |
educational institutions34,39: Faculty of Agriculture4549, Faculty of Agrobiotechnical Sciences45 editorial boards of professional journals students of agriculture and agronomy46 laboratory centres58 researchers51, research organizations63, multidisciplinary research teams64 forestry experts37 organizers of educational programs39 |
Others |
owners of organic gardens and ecovillages39 hunting and hunting tourist centres65 school gardens48 media: agricultural portals, web pages39 employees in agriculture54 |
DISSCUSION AND FUTURE WORK
The analysis of key stakeholder groups in the Croatian agriculture data ecosystem provided identification and characterisation of stakeholders and their relationships inside the agriculture business processes, with several relevant outside connections in the group of Management and support. Our analysis included different perspectives in gathering the data, and only further participatory approach in stakeholder analysis would add valuable qualitative and quantitative data and aspect contribution if more stakeholder details are required24. This stakeholder analysis results should prove valuable in developing collaboration, joint projects, or policies, but also in solving sectoral business problems where the participatory approach is required24. In the further maturation of the agricultural data ecosystem in Croatia, both for the open governmental data and the data of the public endeavours as well as with developing the contractual sharing and the effective data governance, the critical findings of the underdeveloped relationships, need for better data supply should be taken into account7-14. Despite numerous initiatives for cooperation and data sharing between stakeholders in public and private sector at different levels, limited impact to sustainable value creation has been achieved in industries including agriculture, and unsustainable practices persist14,68,69. Expanding on the initiatives of open data ecosystem readiness and the ability to identify the different ways in which stakeholders share data, build sustainable practices and systems is crucial to the successful adoption and implementation of innovation. Successful integration of sustainability aspects into innovation requires the collective participation of different stakeholders, matching objectives among stakeholders, and also their expertise as well as specialized roles for clear transfer of added value within the ecosystem68,70,71. In order to abandon unsustainable practices and to adapt to new digital agricultural practices it is important that the Research and scientist as well as the Supplier group of stakeholders promote their data governance and commit to data opening and sharing in the agriculture data sector in Croatia. It is concerning no data flow was indicated in this research results between the Research and Supplier groups. Additional emphasis to importance of opening up the stakeholders mapped to the Research and scientist group in the agricultural sector in Croatia are the results of the interviews showing limited data flow from those stakeholders to the group of Agriculture producers and Farmers, as seen from the perspective of the interviewed smallholders. Especially when considering smallholders are the ones actually feeding the population72. Aside from the food production, the smallholders are the source of a large amount of high-value data for all other stakeholders in the agricultural data ecosystem in Croatia. In addition, their data needs, according to the interviews, are increasing given the persistent disruptions in the agricultural sector due to environmental, economic, and social global challenges72-74. Market data considering the prices and the demand are the Consumer stakeholder data important to the Agriculture Producers and Farmers group that are not enough open and re-usable. Also, group of Suppliers emphasized data needs, as they depend on market trends and the needs of agricultural producers, i.e. their survival depends on performance in the agricultural market. The data of the Croatian agricultural research sector is evidently not available to them and the contractual data sharing from the group of Agriculture producers and Farmers is evidently limited. Management and Support Organizations have/gather and open the most data according to the above results, but opening of this data is limited20 and more care should be given to data governance research in this group in order to boost the usability of this data for solving relevant sectoral problems. The strong open data outreach responsibility of this stakeholder group is even more pronounced by the fact that the effective cooperation required for sustainable value creation is lacking in the complex business systems, such as agriculture, which operate in an data ecosystem where data and information exchange is lacking or is decentralized6.
CONCLUSIONS
The agricultural sector in general is a mine of valuable data generated in agricultural processes, however, its’ potential to generate value is not yet exploited in the ecosystem of agricultural data in Croatia. The concept of smart and precise agriculture often referred to as the digital agriculture includes collecting and systematizing data from agricultural business processes, integrating, monitoring, analysing, and interpreting data, enabling the development of sustainable practices. To enable the transition to digital agriculture and the data to generate the value, it is necessary to strategically invest into maturation of agricultural data ecosystem (interaction of people, infrastructure, and processes) in Croatia working on the underdeveloped alliances by opening data of the identified key stakeholders. The Management and Support Organization group of stakeholders is recognised as the most important and most data influential one with the most responsibility in promoting open governmental data and open data of the public endeavours. The Agriculture producers/Farmers are the second most important and data influential stakeholder group providing data to and trough other stakeholder groups, primarily the corresponding ministry. The Suppliers group of stakeholders was characterized in this research as the one not connected well enough through the data flow with the other stakeholders. The group of Researches and Scientists in the agricultural sector in Croatia were characterized as not contributing enough to the open data ecosystem. The group of consumers is not reaching the producers with the data they require. Underdeveloped data flow relationships in the agricultural data ecosystem in Croatia could be built in a spontaneous process following the data opening of the key stakeholders and promoting data sharing initiatives of the early adopters. In that way, data opening in the agricultural data ecosystem in Croatia would be the driver of the effective cooperation creation required for sustainable value creation but also the adoption of the best management practices, sustainable solutions and digital development. Based on the emphasized requirements from the Research group for the Supply group, and all groups for the group of Agriculture producers and Farmers, as well as recorded importance of the word-of-mouth for the market information and food product availability, it is evident that the data supply of many stakeholders is underdeveloped. Future research focusing on data demands of the stakeholders could enable faster development and maturation of the agricultural data ecosystem in Croatia.