Digital innovation hubs as a tool for boosting biomass valorisation in regional bioeconomies: Andalusian and South-East Irish case studies

Macias Aragonés, Marta et al. Article Digital innovation hubs as a tool for boosting biomass valorisation in regional bioeconomies: Andalusian and South-East Irish case studies Journal of Open Innovation: Technology, Market, and Complexity Provided in Cooperation with: Society of Open Innovation: Technology, Market, and Complexity (SOItmC) Suggested Citation: Macias Aragonés, Marta et al. (2020) : Digital innovation hubs as a tool for boosting biomass valorisation in regional bioeconomies: Andalusian and South-East Irish case studies, Journal of Open Innovation: Technology, Market, and Complexity, ISSN 2199-8531, MDPI, Basel, Vol. 6, Iss. 4, pp. 1-25, https://doi.org/10.3390/joitmc6040115 This Version is available at: https://hdl.handle.net/10419/241501 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. 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If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by/4.0/ Journal of Open Innovation: Technology, Market, and Complexity Article Digital Innovation Hubs as a Tool for Boosting Biomass Valorisation in Regional Bioeconomies: Andalusian and South-East Irish Case Studies Marta Macias Aragonés1,*, Gloria de la Viña Nieto 1, María Nieto Fajardo 1, David Páez Rodríguez 1, James Gaffey 2, Jennifer Attard 2, Helena McMahon 2, Pat Doody 3, Judit Anda Ugarte 4, Mª Natividad Pérez-Camacho 5, Mª Sol Cuenca Martín5, Antonio JoséGiráldez Morales 4and Filippo Giancarlo Martinelli 6 1Fundación Corporación Tecnológica de Andalucía (CTA), 41092 Sevilla, Spain; [email protected] (G.d.l.V.N.); [email protected] (M.N.F.); [email protected] (D.P.R.) 2Circular Bioeconomy Research Group, Shannon Applied Biotechnology Centre, Institute of Technology Tralee, V92 CX88 Tralee, Ireland; [email protected] (J.G.); [email protected] (J.A.); [email protected] (H.M.) 3Intelligent Mechatronics and RFID Centre, Institute of Technology, V92 CX88 Tralee, Ireland; [email protected] 4Consejería de Agricultura, Ganadería, Pesca y Desarrollo Sostenible, 41013 Sevilla, Spain; [email protected] (J.A.U.); [email protected] (A.J.G.M.) 5Tragsatec Andalucía, 41016 Sevilla, Spain; [email protected] (M.N.P.-C.); [email protected] (M.S.C.M.) 6Irish Bioeconomy Foundation—National Bioeconomy Campus (Former Lisheen Mine), E41 R622 Moyne, Ireland; [email protected] *Correspondence: [email protected]; Tel.: +34-607-53-95-72 Received: 14 July 2020; Accepted: 9 October 2020; Published: 14 October 2020   Abstract: Regional bioeconomy development is directly linked to the availability and access to bioresources. Therefore, it is necessary to trigger opportunities for information and communications technologies (ICTs), the Internet of things (IoT) and Industry 4.0 solutions to increase the efficiency of high potential value biomass supply chains, improving this way the accessibility of bioresources. This study aims to present the results achieved through the development of Digital Innovation Hubs (DIHs) as a tool able to boost biomass valorisation, reshaping regional bioeconomy. The objective was to shape these DIHs and assess how stakeholders could be engaged and benefit from such initiatives. This has been attained through the design and implementation of DIHs in two case-study regions, Andalusia (Spain) and south-east Ireland (Ireland). The approaches and results for stakeholders’ engagement, barrier mitigation, DIH structure and activities are presented. So far, more than 100 stakeholders have been engaged, more than 50 business opportunities have been promoted and a set of support services and events have been carried out. Main lessons learned are (1) about the relevance of understanding the needs of stakeholders, (2) impact is bigger when relevant regional industries (rather than academia/technology providers) discuss the technologies they have integrated and how these have improved efficiency or added value to their processes, and (3) about the importance of the communication plan and a well-formed DIH service definition. Keywords: bioeconomy; ICT; supply chain; regional development; bioresources; stakeholder 1. Introduction The biomass sector is strategically of high relevance for the economy in the European Union (EU) [ 1 ]. Biomass potential can be applied for its utilisation in food and feed, fibres, energy and J. Open Innov. Technol. Mark. Complex. 2020,6, 115; doi:10.3390/joitmc6040115 www.mdpi.com/journal/joitmc J. Open Innov. Technol. Mark. Complex. 2020,6, 115 2 of 25 fuels and materials. According to a recent study, if, by 2020, 20% of chemical products and oil-based products in Europe were replaced by bioproducts, 34 MMT (million metric tons) of biomass would be necessary. By 2030, 30% would need at least 50 MMT while 48 MMT of biomass will be required to produce conventional biofuels, with up to 80 MMT required to produce bio-based power and heat [ 2 ]. The current total EU biomass utilisation for food, feed and materials is 1100 MMT. Moreover, costs of feedstock are often higher in Europe than other jurisdictions due to regulations, climatic conditions and/or higher labour and operating costs [ 3 ]. These aspects make ensuring that the growing demand for biomass in Europe can be met by local supply challenging, especially from the sustainability point of view. Specifically, environmental aspects such as water scarcity and biodiversity, techno-economic aspects and social aspects (e.g., changing demographics and policy agendas) need to be considered. Addressing such a complex challenge requires, as well, to take into account the potential that information and communications technologies (ICTs) offer, but also the disruptive effects they can have on the current practices and habits of value chain actors, such as material extractors, material processors, manufacturers, retailers and users. These effects are related to changes in working procedures, behavioural aspects (e.g., communication channels) and the need for workers to learn about and adapt to these new technologies, among others. As Flak J. states [ 4 ], despite the general views about new technologies, which are seen as too expensive or rather complicated, needing not only an economic investment but also a newer skilled workforce, novel applications or tools are usually user-friendly. In fact, ICT providers are commonly willing to assist customers from the initial phase, installation and implementation and further corrective phases. Most solutions are nowadays price-competitive, adapted to the several needs and scales of operation. These types of benefits should be demanded in order to make a worthwhile investment. Moreover, in the biomass sector, different value chains characteristics exist in contrast to the ones in other industries which, consequently, opens a need for specific types of information and data management systems. There is the possibility of designing tools for a specific stage in a value chain. Flak J. has reviewed a long-list of technologies applicable to biomass value chains. For example, it can be of interest to monitor field conditions (soil humidity, pH, rainfalls, wind), growth rate or ripeness to help farmers to maximize the production by, for instance, indicating a need for fertilisation or an optimal time for harvesting. Another option includes monitoring of the fleet while maintaining efficient customer communication to provide a high standard in the food value chain by tracking the location of the logistics and service management. Meanwhile, Flak, J. [ 4 ] states the existence of technologies to be applied throughout the entire supply chain. There are identification labels and environment sensors for humidity or temperature which can be utilised at any stage, assuring the quality and safety of a given agri-food product, while also boosting the reliability of storage or the logistics efficiency. There is another group consisting of information and communications technology (ICT) tools such as online databases and platforms. These ICT tools can be of crucial importance when forming new supply chains and/or optimising those already existing. For instance, they may include mapping data of the available and potential bioresources, websites with specific knowledge or its providers, contact medium for stakeholders and even online trading platforms. In fact, it is highlighted the numerous opportunities within the biomass supply chains of interest to stakeholders. The large volume and diverse nature of the data that those proposed technologies could manage, including both structured and non-structured data, calls for specific integration and management procedures to make the most of the new economic opportunities based on information, data and cognitive technologies. For instance, Vlachokostas, C. [ 5 ] identifies a need in the waste sector regarding the production of energy from waste biomass. As energy demand increasingly grows all over the world, non-reusable and non-recyclable waste streams are to be used in the correspondent value chain to produce energy, thus, fulfilling this demand. In this frame, Vlachokostas, C. [ 5 ] identifies that management of waste and energy supply chains, through interactions between technological solutions, can be provided in several pathways, varying depending on the chosen criteria and characteristics. Therefore, the ICT provides a path that closes the gap J. Open Innov. Technol. Mark. Complex. 2020,6, 115 3 of 25 between producing efficient energy and most importantly, forms the basis for residents’ empowerment and professionals’ motivation to adopt eco-friendlier behavioural patterns. Industry 4.0 approaches (the trend towards automation and data exchange in manufacturing technologies)couldbringnovelsolutionsthatcouldcontributetounlockingEuropeanbiomasspotential, as well. Thus, it becomes of paramount importance to boost opportunities for the introduction of ICT to increase efficiencies, particularly advanced ICT like the Internet of things (IoT) or Industry 4.0 approaches, and to enhance the sustainability of biomass supply chains for the bio-based industry. IoT is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction [ 6 ]. Since sustainable feedstock supply chains will permit the creation of sustainable bio-based value chains, biomass supply chain digitalization could serve as an engine for the economic development of rural areas. With regards to ICT spread and digitisation, in 2016, the European Commission (EC) launched the first industry-related initiative of the Digital Single Market package [ 7 ]. Building on and complementing the various national initiatives for digitising industry, the Commission acted to trigger further investments in the digitisation of industry and support the creation of better framework conditions for the digital industrial revolution. One of the more important pillars of the Digitising European Industry [ 7 ] effort is the activity dedicated to developing a network of Digital Innovation Hubs (DIHs) [ 8 ]. Since 2016, a lot of DIHs have emerged, as well as EC initiatives such as the DIHs catalogue [ 9 ] and the DIH Academy [ 10 ]. In addition, 500 M € from the H2020 budget (H2020 is the acronym for Horizon 2020, the EU funding programme for research and innovation) have been allocated between 2015 and 2020 to support the development of DIHs. It is the Commission’s ambition that all companies should have a DIH within their region through which they should be able to access competences in order to digitise their organisations and their products and services [ 11 ]. For instance, a study has been developed in Italy in order to promote digitalisation in companies. The Italian study sheds light on the role of Italian DIHs in connecting small and medium enterprises (SMEs) to different knowledge sources. Its DIH system has a high number of industrial and artisan associations that act as coordinators. These actors are profoundly embedded in local territories and benefit from high levels of recipient trust. Some of the study’s findings pointed out the importance of DIHs in facilitating the connections between the actors involved in the digital transformation process. Additionally, the study concludes stating that DIHs act as external enabling factors that foster connections with other companies and institutions fostering the development of innovation ecosystems [12]. ICT tools are already playing a role in forestry [ 13 , 14 ], and in the Swedish smart industry [ 15 ], and serve as examples for the bio-based industry supply chain. Woo, H. emphasises in his study that forest residue availability might be uncertain and there is a high risk of wrong decision making in the biomass supply chain [ 16 ], particularly, using electronic systems, such as geographic information system (GIS, a conceptualized framework that provides the ability to capture and analyze spatial and geographic data), Global Navigation Satellite System (GNSS, this refers to a constellation of satellites providing signals from space that transmit positioning and timing data to GNSS receivers; The receivers then use this data to determine location), and various kinds of sensors related to forest harvesting. The contributions of these tools to forest operation are wide and various. One of the most important applications was integrating ICT and GPS/GNSS on-board systems on modern forest machines. This allowed one to ensure multiple benefits to the forest operation field [ 17 ]. In addition, UAS (Unmanned Aerial Systems) technology has been introduced to measure biomass availability with reduced cost and time. Given the rising public awareness of bioenergy, a precise biomass estimation tool to support biomass industries is needed to make the most efficient use of biomass resources [ 16 ]. The adoption of this kind of technology through the development of DIHs and how this relates to Smart Specialisation Strategies (S3) in European regions has been assessed by the Joint Research Centre (JRC), the European Commission’s science and knowledge service. This assessment points out that there are synergetic place-based relationships of DIHs and S3, with DIHs being the policy outcome of an S3 process or an active actor participating in S3 entrepreneurial J. Open Innov. Technol. Mark. Complex. 2020,6, 115 4 of 25 discovery processes and implementing parts of S3 [ 18 ]. It can also be concluded that the use of DIHs as actors or initiatives can support digitalisation and the development of the surrounding innovation ecosystems in concrete territorial contexts [19]. Within this context, the purpose of the work presented herein is to develop a DIH as a tool for boosting biomass valorisation in a regional bioeconomy through the identification of feasible opportunities for ICT to improve the efficiency and sustainability of supply chains, enabling this way the regional cooperation between biomass suppliers and technology providers. The DIH covers several supply chains handling different kinds of biomass coming from multiple bio-resources so the impact can be of significance for the bio-based industries, and the full bio-based sector existing in European regions. The general structure that follows a DIH focused on boosting biomass valorisation includes competence centres as the core organisations in the DIH general structure, interacting with the rest of stakeholders. Competence centres can be universities, research and technology organisations (RTOs) or incubators. These competence centres are used as the main knowledge transfer vectors from which other stakeholders in the DIH will benefit. Other stakeholders considered in the DIH general structure can be from the primary sector as farmers and agri-business; from the secondary sector as industry advisors, consultants, ICT developers or start-ups or from the tertiary sector as governments, investors or innovation brokers. As explained above, a DIH can play a role both horizontally, by providing digitalisation support to all sectors, and vertically, by leading or taking part in processes of mobilising stakeholders towards innovation. In this sense, a DIH can act as a policy outcome of an S3 process, or an actor implementing parts of S3 [ 18 ]. In this case, the main aim of the work is to act vertically, by bringing together leading experts and support networks in order to develop DIHs to examine opportunities for ICT, IoT and Industry 4.0 to act horizontally, i.e., in this case, to increase the efficiency of high potential biomass supply chains. The geographical scope for this study was south-east Ireland (Ireland) and Andalusia (Spain), which have served as testbed locations (case studies) for the development of DIHs for biomass mobilisation. In 2016, the EU selected six “model demonstrator regions” (MDRs) in Europe to lead the way towards sustainable chemical production [ 20 ]. The selected case studies are two of these high potential model demonstrator regions. During the work that was conducted, the hubs provided access to the best knowledge, information and technology to promote opportunities for ICT, IoT and Industry 4.0 to be integrated into high potential biomass value chains, supporting this way, on the one hand, the development of the EU bioeconomy by facilitating greater availability of competitively priced and sustainable biomass, and on the other hand, the creation of new cross-sector interconnections in bio-based economy clusters. The DIH involving biomass and ICT suppliers also contributes to the reduction of biomass losses and costs associated with feedstock supply logistics compared with similar existing benchmark supply chains. The resulting introduction of ICT in the biomass feedstock supply chain for the bio-based industry in other regions contributes to the sustainability and efficiency in the long term along all bioeconomy regions, highlighting the importance of DIH formation as creating regional structures for the development of the bioeconomy through cooperation and mobilisation of the main actors at a regional level which can be replicated in other regions. It can be considered that DIHs could be pointed out as a new collaboration model that triggers the development of open innovation ecosystems by the way they are defined and implemented (following a multi-stakeholder, multi-sectoral approach and having a competence centre as a link to innovation, promoting this way new knowledge flows). Finally, it is worth mentioning other approaches that can be found in the literature regarding how to boost transformation through digitalisation using an open innovation approach. For example, the dedicated innovation systems discussed by Pyka [ 21 ] were developed as a tool to support the transformation towards sustainability by creating income opportunities and employment in the knowledge-based digital bioeconomy. Other knowledge areas such as the ceramics sector and its digital transformation have also been addressed, in this case from the Industry 4.0 perspective [22]. J. Open Innov. Technol. Mark. Complex. 2020,6, 115 5 of 25 2. Materials and Methods The framework for this study is the European project ICT-BIOCHAIN (ICT Tools in Efficient Biomass Supply Chains for Sustainable Chemical Production), funded by the Bio-Based Industries Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme with grant agreement No 792221. During the lifetime of the ICT-BIOCHAIN project, the following reports have been produced: “Assessment of current ICT, IoT and Industry 4.0 Solutions in European biomass utilisation” [ 23 ] and a “Validation report of the platform prototype per each region-specific data model”[ 24 ]. This information, togetherwith aregionalbaseline definitionexercise[ 25 ], DIH knowledge transfer events, demonstration days and business opportunities, has been used when developing and dynamizing the DIHs. All this information by means of public deliverables or project materials (videos and project platform) can be found on the project website [26]. Herein, a summary of the main aspects for DIH implementation for each region (south-east Ireland and Andalusia) will be described while differences will be highlighted for a comprehensive understanding of the main steps and methods. In order to secure a process for the establishment of two pilot Digital Innovation Hubs for biomass supply chain development, several objectives were set as follows: (1) To identify the baseline for the implementation of the DIH, determining the current regional situation of ICT, IoT and Industry 4.0 adoption in biomass value chains and potential barriers. (2) To identify and engage main stakeholders to be involved in the DIHs in each region as this will allow for the development of a network of stakeholders covering all essential aspects of a DIH. (3) To articulate and set-up the structure of DIHs in the selected MDR; the structure definition of DIH in each region is performed by establishing a hub manager, steering committee and competence centre. (4) To prepare a set of documents and communication tools that will support further day-to-day activities of the DIH. (5) To enable extensive knowledge transfer on ICT, IoT and Industry 4.0 within model demonstrator regions: transfer best practice technologies and offer practical demonstrations of relevant ICT, IoT and Industry 4.0 opportunities for biomass mobilisation through a designated demonstration day. (6) To identify high potential opportunities based around specific ICT, IoT and Industry 4.0 functions and develop innovation partnerships around these opportunities to turn these into investment-ready opportunities. The process for the implementation of a regional DIH is shown in Figure 1, covering the six objectives summarised above. Now each stage of the process methodology will be explained, and each objective fulfilled. In this methodology, the term “stakeholders” refers to the people from society, industry, academia or administration involved in the hub, benefiting from its activity. First, regional baselines were defined in both regions of study (south-east Ireland and Andalusia). The regional baseline definitions consisted of the assessment of both regional contexts in terms of mapping the utilisation of ICT, IoT and Industry 4.0 tools in biomass supply chains. This allowed the definition of the starting point for the DIHs’ implementation. This work is published partially [ 4 ]. Once this was done, barriers towards DIH development were identified. The aim was to design the DIH structure, related activities and the stakeholders’ engagement plan so these barriers could be addressed. This was carried out by a working group composed of a regional organization (central node for DIH development) and a regional facilitator (in charge of stakeholder outreach and operational capacity). In addition, several meetings between the case study regions’ representatives were held. This helped the exchange of experiences and knowledge sharing as well as the identification of common barriers. J. Open Innov. Technol. Mark. Complex. 2020,6, 115 6 of 25 Figure 1. Process methodology for implementation of a regional DIH. The articulation of both the DIH structures and the stakeholder engagement plan definition were conducted in parallel. The DIH structures were designed to allow easy DIH management and operation while involving the required knowledge and providing direct contact with stakeholders. The main components of each DIH are a hub manager assisted by a competence centre and a steering committee with three bioresource advisors (one per value chain of study in each region) and one technology and one business advisor. The designed structure can be observed in Figure 2as follows. Figure 2. DIH general structure. Stakeholder involvement was performed by the development of a network database containing relevant stakeholders within the two Digital Innovation Hubs for sustainable biomass mobilisation. The network included regional ICT developers, technology providers and all stakeholders from the biomass supply chain. Relevant actors such as public bodies, academia, platforms and associations were included. In fact, this network was constantly enlarged during the project lifetime by participants coming from the various events being offered. Once participants from the network were identified, communications were maintained in order to explain to them the concept of a Digital Innovation Hub, the benefits that participating in such an initiative could have for them, etc. Communication and documentation were customised to each type of stakeholder, particularising the key messages to be delivered. Different channels were employed such as emails, phone calls, face to face or online meetings, focusgroupsandthematicworkshops. Thishelpedtomaximisethechancesforstakeholdercommitment. After the structure of the DIH and communications to stakeholders were defined, actions to accomplish stakeholder engagement started while in the meantime the DIH was being consolidated (recruitmentandconfirmationoftheparticipationofadvisorsandrelevantroles). Oncetheconsolidation phase was over, the DIHs’ dynamisation was carried out: enabling extensive knowledge transfer on ICT, IoT and Industry 4.0 within model demonstrator regions by launching events in both MDRs, transferring best-practice technologies. Practical demonstrations of relevant ICT, IoT and Industry 4.0 J. Open Innov. Technol. Mark. Complex. 2020,6, 115 7 of 25 opportunities for biomass mobilisation through a knowledge transfer and designated demonstration days were offered, concluded with investment days where financial support was available to finalise the partnerships among biomass and technology providers. Activities foreseen for DIHs’ dynamisation can be found in Figure 3as described above and which finally covers objectives 5 and 6. Figure 3. Events foreseen for DIHs’ dynamisation. IoT—Internet of things (IoT). Regarding these four events, the same approach was followed in both regions. Events shaping was done using an event proposal template to gather all relevant information about resources to be used, agenda, targeted stakeholders and potential risks to be considered. For each event, a satisfaction survey (feedback form) was prepared and provided to the participants, allowing information retrieval for further events shaping and for business opportunities spotting. In addition, at each event, all attendees were asked to complete a questionnaire about ICT adoption status to allow for the identification of stakeholders that might need advice on the best technologies available for them. 3. Results As explained in the methodology section, several results have been produced during the lifetime of the ICT-BIOCHAN project which will be exposed as follows in this order: (1) baseline definition of both regions for the implementation of the DIHs, determining the current regional situation of ICT, IoT and Industry 4.0 adoption in biomass value chains; (2) potential barriers to be encountered when implementing a DIH; (3) stakeholder engagement plan; (4) DIH structure definition; (5) DIH activities and events; and (6) establishment of value chain coalitions to foster regional development. 3.1. Baseline Definition The baseline definition was considered the starting point for the development and implementation of ICT-BIOCHAIN activities regarding the DIH in both regions, south-east Ireland and Andalusia. The information regarding the regional situation of ICT, IoT and Industry 4.0 adoption in biomass value chains as published by J. Flak, 2020 [ 4 ] and the information about the regions which will allow a comprehensive understanding of this article were compiled. An overview of the two case-study regions is provided in the following paragraphs. The south-east Ireland region is centred on the site of the former lead/zinc mine in Lisheen. Recently, the Lisheen site has undergone surface and underground rehabilitation being reconverted to Ireland’s National Bioeconomy campus located at the heart of Ireland’s agri-food sector. The agri-food sector in Ireland is responsible for significant employment, producing substantial volumes of outputs with formidable financial value, and playing a role in feeding an ever-growing global population. Main opportunities have been found in the agri-food and forestry value chains. The residues which arise from their processing include whey residues from cheese or casein production; dairy fat from milk processing; spent mushroom compost and stalk cut-offs from mushroom production; various sludges from wastewater treatment; food crop residues from apple, potato, and other food processing; lignocellulose from the wood processing sector; spent grains from the brewing and distilling industry; animal by-product from meat processing and manures from the livestock sector. The biomass potential identified in Ireland as a whole amount is >2 MMT (million metric tons) of tillage crops; 1.2 MMT of J. Open Innov. Technol. Mark. Complex. 2020,6, 115 8 of 25 straw; 37 MMT of livestock waste; 550,000 MT (metric tons) animal by-products; >100,000 MT spent mushroom compost; >160,000 MT brewers’ grains and circa 1 MMT underutilized wood residues per year [ 27 ]. In the framework of the present study, three value chains were selected, namely, whey, horticulture and lignocellulose as the main focuses of the project and so the DIH was defined according to this selection. Andalusia is in the south of Spain and has a unique bioeconomy potential since it features a large agricultural sector. Over 44.3% of its surface area and 8.4% of its workforce are dedicated to this sector [ 28 ], and Andalusia’s agri-food industry is one of the main economic drivers of the region [ 29 ]. It is extended all over the Andalusian area and is widely present in rural areas. Waste products and oils, derived from the olive groves (pruning, mill leaf, olive pomace, olive marc and olive pit) are a large and attractive feedstock for new value chains. The fact that Andalusia is the major olive producer worldwide and olive oil bio-based industries are well developed could result in economies of scale or build on specific oil refining expertise which allow it to be more competitive than other European regions. Banias G. et al. [30] reviewed the environmental impacts dragged from the life cycle of olive oil. He stated that the use of chemical products (pesticides, fertilizers) cause significant burden to the environment since they are oil-friendly compounds and, for that reason, are easily detected in the oil of the olives. Moreover, the use of such products is also responsible for the pollution of groundwater and the erosion of soil. Large quantities of water are also required for irrigation purposes. More specifically, to produce 1 L of extra virgin olive oil, 433.6 g of fuel and 3900 L of water are consumed. For the cultivation of one acre of olive grove, 64.8 MJ is required. Fertilizing and spreading the insecticides require 247 MJ and 3317 MJ per ton of olives, respectively. A medium-sized mill receives 10–20 tons of olives per day and produces 0.5 and 1.5 m 3 olive mill wastewater per ton of olives. The water used either for washing the olives or before the centrifugation further increases the liquid wastes’ production, which may reach 54 L of water for a litre of extra virgin olive oil produced. The production of olive oil also includes energy and fuel consumption. Specifically, 1493 kJ is consumed for each ton of processed olives and 158.2 kg CO 2 are emitted. The processes to reduce olive’s bitter taste are most responsible for the increased emissions. Additionally concerning are packaging wastes impact and transport emissions [ 30 ]. Fruit and vegetables are important because of the high volumes of vegetable remains involved in intensive horticulture. For forest feedstocks, lignocellulosic value chains could be established towards paper, composites, polymers or chemicals. Furthermore, due to its sunny climate and intensity of solar irradiation (because of Andalusia’s southern location), cost-effective algae cultures are a promising feedstock and a huge opportunity for high-quality proteins and bioactive compounds production [ 31 ]. The biomass potential identified in Andalusia includes more than 8 MMT of agricultural waste (of which over 2 MMT correspond to the olive oil industry and nearly 3 MMT to several cereals). There are also 12.1 MMT of livestock waste; around 6.3 MMT of industrial waste; just over 320,000 MT of forest biomass and 1.6 MMT of urban waste. In addition, Andalusia has a capacity of biofuel production of 1.3 MMT per year plus nearly 1800 MW of thermal power and >250 MW of electric power from biomass and >30 MW from biogas [ 32 ]. In the framework of the present study, three value chains were selected, namely, olive and olive oil waste, horticulture waste and algae which were used as well for the definition of DIH components as explained in next section. Regarding ICT, IoT and Industry 4.0, both regions have several solutions available in the market that aim to make farmers’ work easier. These products are usually focused on retrieving data and handling them in order to make the most out of available information. This goes from traceability and information availability for the consumer/biomass buyer to integration of information with weather forecast and plagues information in order to reach cost- and resource-efficient planification and management of crops and farms. Nevertheless, there is no relevant outstanding solution related to biomass logistics, thus, demonstrating a clear gap towards the sector’s full digitalization. Concerning the past experiences with DIHs in each region, both have previously conducted several interesting initiatives that serve as foundations for the developed DIHs. In the case of south-east Ireland, the most relevant past initiatives are the Manufacturing Industry Digital Innovation Hub, J. Open Innov. Technol. Mark. Complex. 2020,6, 115 15 of 25 members of the newly established DIH groups, as well as other bioeconomy opportunities involving biomass. The aim of these events was to disseminate these practices in the respective regions and, therefore, promote the use of ICT, IoT and Industry 4.0 solutions within the biomass sector and encourage their integration. The Andalusian demonstration day included visits to three sites in the province, as well as a speech from one relevant biomass actor (agri-food sector). A coach service was hired for the day to transport the participants between the three sites. The first site visit was at EMASESA-E.D.A.R El Copero (Dos Hermanas). Although EMASESA is the local public wastewater treatment company, it has implemented a co-digestion plant where it receives wastes from organisations in the surrounding areas (especially agri-food wastes such as tomato waste, olive mill waste, etc.) and conducts a co-digestion process together with the sludge. By adding agri-food waste, the co-digestion yield and overall process performance are improved. The second site visit was the Instituto de la Grasa that belongs to the Consejo Superior de Investigaciones Cient í ficas (CSIC-Consejo Superior de Investigaciones Cient í ficas, campus Univ. Pablo de Olavide, Dos Hermanas). It has an olive mill pilot plant that is used by companies in order to investigate potential blends. It also has an additional facility for biomass treatment and analysis. The final site visit was the olive mill cooperative Ole í cola El Tejar (Marchena). Specifically, its biomass storage and treatment plant were visited. There, C í tricos del And é valo (Garc í a Carri ó n Industrial Group) provided a presentation about its biomass management strategy (citrus fruits biomass). A total of 26 people attended the event, coming from different sectors and profiles, having public administration, academia and the private sector represented. At the end of the demo day, participants were asked to fill in a feedback form. The results showed all of the event aspects were mostly rated as “very good”, thus, showing that, overall, the participants were highly satisfied with the organisation of the day. About the number of contacts, four participants made up to five contacts while the rest of the participants made between two and four, with some outliers that made a bigger number. Furthermore, participants were next asked about whether they had spotted a cooperation opportunity and 10 of them answered positively. Other topics that the participants were interested in for future events include access to funding and further knowledge exchange. Finally, participants were asked how they found out about the event, with email the most voted one. This is probably since, prior to an event invitation, a “save the date” email was sent in advance. The Irish demonstration day included three site visits on technology being used within the biomass sector and, therefore, benefiting the bioeconomy. The first site visit was at a Coillte forest. Coillte is the Irish state forestry organisation and is considered to be the most technologically advanced forestry organisation in the country. With the following two site visits being in County Limerick, Coillte selected a nearby and suitable forest to give their demonstration. The demonstration involved an overview of their “Connected Forests” system which includes a forest inventory and an earth observation programme to support strategic and tactical planning. The second site visit was to Celignis Analytical, a biomass analysis laboratory. During the visit, Celignis demonstrated their near-infrared spectroscopy rapid biomass analysis which uses custom models and proprietary software, as well as their provision of biomethane potential data for anaerobic digestion. The final site visit and technology demonstration was to BHSL Hydro. BHSL Hydro is an agro-tech company for the poultry industry and showed their remote monitoring and control systems as well as their patented Fluidised Bed Combustion Technology which converts poultry manure into heat and electricity for use on the farm. The total number of attendees was 21. Representatives were present from governmental entities as well as from companies in the technology sector, research organisations and consultancies. At the end of the demo day, participants were asked to fill out a feedback form. The results showed all of the aspects of the event were rated either “good” or “excellent”, with just one participant marking the networking opportunities as “average”, thus, showing that, overall, the participants were highly satisfied with the organisation of the day. All the participants made at least one new contact, but the majority made three new contacts on the day, with a maximum of four new contacts. Other topics that J. Open Innov. Technol. Mark. Complex. 2020,6, 115 16 of 25 the participants would have liked to hear about during the day included local-level opportunities, marine biorefinery technologies for macroalgae, food-waste-related technologies (e.g., sensors), farming technologies and water recovery technologies, as well as wastewater valorisation opportunities, such as a biological fuel cell technology. Finally, concerning how the participants found out about the event, email was the most voted approach. At the same time, however, several people found out about the event through various means, which shows the importance of simultaneously using several different methods for event dissemination. 3.5.3. Business Opportunities Support Aside from the different events that were organised, direct actions involving stakeholders were organised to promote regional business opportunities development. Both DIHs have the following knowledge and expertise, which were made available to the different stakeholders: (1) biomass availability, (2) value chain expertise, (3) technology solutions, (4) contacts and networks and (5) funding advice. Both DIHs used this knowledge to support potential stakeholders with relevant business ideas that brought the biomass and technology sectors together. This work was done by first identifying relevant stakeholders (thanks to the feedback forms and questionnaires provided at the events), contacting them and providing them with the necessary support. Around 60 business opportunities were promoted and supported in total for the two case studies. Moreover, in the case of the Andalusian DIH, a set of preparatory actions targeting start-ups and SMEs were conducted. Specifically, two webinars were organised: the first one was devoted to the exchange of knowledge regarding State of the Art (SoA) ICT, IoT and Industry 4.0 solutions, while the second one was devoted to providing knowledge about how to prepare a pitch for investors. As for the Irish DIH, any successful cross-sectorial business coalitions were again contacted in order to invite them to a regional investment day. This day involved an outline of the funding opportunities available to the stakeholders as well as personalised advice on suitable funding calls for each idea, which was passed on through one-on-one meetings with a dedicated DIH representative. Finally, and as a direct result of the feedback gathered from stakeholders at the demo and investment days about the need of having a complete overview of all available funding related to ICT, agri-food and bioeconomy, a “funding brochure” (Figure A1, please see the Appendix A) was produced by the Irish regional partners in cooperation with the Irish government [ 35 ]. This document adds up to the information provided in the Report on Regional and EU Funding Mechanisms to exploit innovations in the Digital Biobased Economy produced in the frame of the ICT-BIOCHAIN project where European, national (Spain and Ireland) and regional (Andalusia and south-east Ireland) private and public funding opportunities are mapped. Both documents were disseminated among stakeholders in order to catalyse and support the development of the business opportunities promoted in both DIHs. 3.6. Value Chain Coalitions and Regional Development The trans-disciplinary, cross-sectorial and technology transfer elements of the two developed DIHs are reflected by several aspects: (1) diverse disciplines of knowledge are integrated—ICT, IoT, Industry 4.0, agriculture, food, forestry, biotechnology, mathematical modelling and optimization, logistics, sustainability assessment methodologies and economics; (2) different biomass types are included—vegetable residues and by-products from the agri-food sector, olive-mill-related biomass and algae (Andalusia), lactose whey for the production of biochemicals/bioplastics, horticulture residues (mushroom, apple pomace, tomato pomace, potato residues) for production of biochemicals and lignocellulosic materials (straw and forestry residues) for bio-based applications (in south-east Ireland); (3) DIHs include organizations from diverse industrial sectors (sizes and types), regional administration, clusters, research centres, universities, NGOs, etc. and (4) measures taken from the innovation management paradigm were considered in the hub design to create interconnections supported on promotion of knowledge and technology transfer. J. Open Innov. Technol. Mark. Complex. 2020,6, 115 17 of 25 Figures 8and 9summarize the eight new cross-sector interconnections in the DIHs that were created. Not only were cross-interactions created between each biomass sector, ICT, IoT and Industry 4.0, but also between biomass sectors as combinations of biomass supply chains that were also assessed in the DIHs (e.g., combination of straw and forestry residues as part of a combined lignocellulose supply chain). Hence, DIHs allowed the creation of three cross-sector interconnections by region between the biomass sector, ICT, IoT and Industry 4.0 plus one interconnection per combined biomass supply chain. These interconnections have had an impact in the day-to-day activities of the DIHs as they trigger new business model development; increase the contact with investors, companies and academia and, from a global point of view, increase the competitiveness of the private sector at a regional level and in the bio-based economy. Figure 8. Cross-sector interconnections created in the frame of the DIH, Andalusia (Spain). Please note that for the sake of clarity, interconnections created by combined biomass supply chains are not depicted. Figure 9. Cross-sector interconnections created in the frame of the DIH, south-east Ireland (Ireland). Please note that for the sake of clarity, interconnections created by combined biomass supply chains are not depicted. 3.7. Summary of the Outcomes of the Approach Table 1presents an overview of the outcomes of the approach for regional DIHs’ implementation developed as a result of the ICT-BIOCHAIN project. J. Open Innov. Technol. Mark. Complex. 2020,6, 115 18 of 25 Table 1. Summary of main outcomes of the proposed approach for DIHs’ development. Stage/Action Main Outcomes for the Two Case Studies Baseline definition Current regional situation of ICT, IoT and Industry 4.0 adoption in biomass value chains Barriers identification Barriers Mitigation Toolbox DIH structure definition Structure defined: hub manager, steering committee and competence centre. This structure has been particularized for each case study Stakeholder engagement plan Four main aspects to be considered have been identified: stakeholder characterisation by profiling, customized communication materials, production of key messages and identification of preferred communication channels DIHs activities (events) and stakeholder engagement More than 100 people from different organisation profiles (private sector, public administration, academia, NGOs) have been involved. Events as main tool for DIHs’ dynamisation Value chains coalitions and regional development Successful business case in Ireland: (1) cross-sectorial business coalition was formed between a biomass consultancy and a technology company, (2) second successful cross-sectorial business coalition was formed between a mushroom co-operative and a technology research organisation, (3) third successful cross-sectorial business coalition was formed between a biorefinery company and a technology research organisation. Successful business case in Spain: (1) rural development consultancy company, (2) rural development group was connected to a technology provider and cooperation was already established with a large dairy and food company located in the geographical area of the rural development group, (3) third business case arose at the demo day where a technology provider spotted an opportunity after listening to the speaker’s presentations where they identified some of their challenges and needs—the identified speaker was a wastewater treatment company. 4. Discussion Creating local associative initiatives to promote innovation is a world-wide recognised best practise [ 36 ]. The integration of companies and universities in technology parks or techno-business incubators facilitates the configuration of a network with high potential for the generation of business opportunities and jobs which are focused on the acquisition of knowledge and the generation, transfer and commercialisation of technology. The concentration and interaction of companies and universities within the environment of a technology park usually add status and reputation to an area which individual members would fail to attain by themselves. Science and technology parks generate the ideal conditions for the necessary interaction between innovative companies and knowledge generation centres. The new orientation of innovation towards networking and shared knowledge encourages a productive network creation which can be more competitive and has greater access to cutting-edge technologies. DIHs are, however, easier to structure and get into operation; can gather interest from stakeholders belonging to different clusters, universities and technological parks at local/regional levels and have a clear focus to promote innovation and competitiveness by applying ICT solutions. Aspects related to DIH shaping and operation are presented by Hervas-Oliver et al. [37]. Specifically, their results show that DIH policy can be aimed at promoting collaborative platforms, encouraging place-based initiatives and promoting open innovation among all sorts of local/regional actors. In order to do so, the DIH program would be based on interaction, bottom-up collaboration and cluster-like functioning so as to trigger the creation of alliances that account for local/regional contextual specificities and demands, promoting the mobilization of resources to solve spatially bounded problems. Furthermore, the Green Deal (GD) [ 38 ] is an integral part of the European Commission’s strategy to implement the United Nation’s 2030 Agenda and the sustainable development goals [ 39 ]. It is a new socio-economic growth strategy that aims to transform the EU into a fair and prosperous society, with a modern, resource-efficient and competitive economy, with no net emissions of greenhouse gases in 2050 and where economic growth is decoupled from resource use. “Mobilising industry for a clean J. Open Innov. Technol. Mark. Complex. 2020,6, 115 19 of 25 and circular economy” is one of the major objectives of the GD [ 38 ], which includes two challenges concerning digitisation of biomass value chains. The first challenge is to ensure industrial access to raw material as a strategic security question for Europe’s ambition to deliver the GD the supply of sustainable raw materials. Diversifying supply from both primary (like biomass) and secondary sources (like agri-food industrial side-streams, by-products and waste) is considered by the EC, therefore, one of the pre-requisites to make this transition happen. The second important challenge is to build awareness and engagement in the agri-food sector to put sustainability as their first priority; the EC will consider measures to improve resource efficiency and circular economy performance of this sector itself, from broadband networks to data centres and ICT devices, as digital technologies are a critical enabler for attaining the sustainability goals of the GD in many different sectors. The Commission is committed to exploring measures to ensure that digital technologies, such as artificial intelligence, 5G, cloud and edge computing and the Internet of things (Industry 4.0 approaches being a part of it), can accelerate and maximise the impact of policies to deal with climate change and protect the environment [38]. DIHs, as described in this article, can be pointed out as one of those industrial mobilising structures showing the capacity to accelerate and maximise the impact of digital technologies on the implementation of the GD by 2050. As has already been described, DIHs characterised in this article have been designed to address ICT sector acceleration for attaining the sustainability goals of the GD in many different sectors. By focusing on digitisation of key regional biomass value chain supplies, effectively engaging and activating networking and offering value chain building and support to all the key stakeholders involved in the agri-food sector, a contribution to sustainability acceleration can be reached, but only if DIHs of this type are fed and improved consistently by their private and public stakeholder members. In practical terms, the implementation of the herein presented DIH approach would allow one to make the most out of regional bioresources, especially in those regions where these are scattered (rural and coastal areas) and opportunities are lost since not enough volume can be achieved because of inefficient or complex logistics. This would have a direct impact in regional/local development, boosting the adoption of bioeconomy. The design process of the DIHs in the two case studies showed that, although both regions had the same goal (boosting biomass valorisation in the regional bioeconomy), the way DIHs have been designed slightly differ. This is due to the fact that the two case studies have different starting points and, in order to maximise the impact of the DIHs at the regional level, it was decided that integrating the DIHs in the local context was of utmost relevance. So, results and experience achieved show that DIH background should be always considered through early identification of existing local/regional DIHs and/or clusters, actions and public administrations acting as an umbrella and/or potential collaborators in similar areas, in order to establish, in the beginning, stable formal and operative connections with them. Ensuring multi-stakeholder engagement and mobilisation is key for the creation of an innovation ecosystem as reported in the LIFT Project (LIFT—Unleash the potential of CSAs results to contribute to sustainable and competitive Bio-Based Industries in Europe) Fact Sheet number 3 [ 40 ]. The LIFT Project is a European project where a total of 35 coordination and support action projects for a bio-based economy were mapped, their good practices analysed and common recommendations obtained and disseminated to be taken into account for future actions. Concerning DIH stakeholder engagement, it is very important to consider that each of them has different profiles, requiring different communication approaches (especially key messages). Furthermore, General Data Protection Regulation (GPDR) issues needed to be considered and implemented when contacting them. To stimulate stakeholders’ participation in the DIH, customised materials were produced stating the specific benefits of joining the DIHs for each stakeholder profile. These materials were produced in the local language, a key aspect in the communication strategy. The design of impactful awareness and communication strategies, tailoring the message to the different target audiences, has been reported as well in the LIFT Project Fact Sheet number 1 [ 41 ]. This customisation approach using innovative channels like large-scale J. Open Innov. Technol. Mark. Complex. 2020,6, 115 20 of 25 events or workshops, and tools like videos, dissemination materials, contests and social media just-on time-posts were used recurrently in the communications strategy presented in the methodology. Finally, the success of a region in terms of knowledge transfer depends on many factors, including its entrepreneurial initiative, the strategy of its universities and its public development policies. However, REUNE (a good practices online manual) best practice guidelines for academy and industry collaboration [ 42 ] showed that a key aspect for effective technology transfer consists of “generating transfer catalysts”. The world’s most advanced regions in this respect have encouraged and facilitated the creation of organisations and entities which act as effective catalysts in the dynamisation of collaboration between industries and universities for the development of innovation systems which are characterised by their strength and high levels of efficiency. DIHs must contribute to effective technology transfer by embracing this role. This aspect has been addressed in the investigations conducted through the participation of stakeholders in a technology transfer day. 5. Conclusions Two DIHs were developed in two European regions that acted as case studies, aiming to bring together leading experts and support networks, in order to trigger and support opportunities for ICT, IoT and Industry 4.0 applications for the efficiency of high potential biomass supply chains. DIH activities have, therefore, a strong impact at the regional level concerning the adoption and transition to a sustainable bio-based approach and could be pointed out as another successful tool in the frame of open innovation approaches and strategies. So far, more than 100 people from different organisation profiles (private sector, public administration, academia, NGOs) have been involved in the DIHs’ activities, benefiting from the promoted knowledge exchange and innovation and business opportunities’ development. The main lessons learned from these experiences are (1) to maximise the impact of the DIHs at the regional level, integrating the DIHs in the local context of digitisation actions and policies, is of utmost relevance; (2) understanding the needs of the industries participating is very relevant to become an effective bio-based economy DIH; (3) a demonstration day where the industry (rather than academia or technology providers) can discuss the technologies that they have integrated, and inform stakeholders about the way in which this technology has improved efficiency or added value to their process has a big impact and (4) communication and dissemination plans, as well as a well-formed DIH service definition, are important. On top of these, it is possible to draw some additional conclusions related to DIHs’ design and main actions planned and conducted when implementing the DIHs. It is important to highlight how the followed methodology for the establishment of DIHs in the two MDRs with backgrounds and future goals as different as south-east Ireland and Andalusia can be applied in both regions. Only by adapting several foundational structures but maintaining the core process equally can it be concluded that these findings highlight the possibility to replicate DIH formation in any region working on bioeconomy. As for the regional knowledge transfer days, there were several learnings, as well. (1) Stakeholders acknowledged wanting more time to continue discussing ideas amongst each other. For this reason, it is recommended to have the workshop earlier on in the day, so that participants can continue discussions during the lunch and the remaining coffee breaks. (2) For the Andalusian event, the participants’ name tags included not only the person’s name, but also their organisation, as well as different coloured dots corresponding to different profiles, i.e., whether they were from the biomass sector, IT sector, etc. This was not done during the Irish event, and feedback showed that the participants would have liked to see that information there since it facilitates networking. (3) For the local competence centre, a parallel session between research groups and project partners acting as an international competence centre of the DIH was organized. In this case, the success rate was moderated due to low local research groups’ participation and the difficulties found in guiding the conversations. Hence, it is proposed that the selection of a convenient date and a much more structured approach should be implemented in similar sessions. J. Open Innov. Technol. Mark. Complex. 2020,6, 115 21 of 25 In addition, throughout the planning of the two regional demonstration days, lessons to be taken into account to guarantee maximum success have been learned; they are that (1) it is recommended to ensure that the demonstrations are varied so as to attract people from different sectors and, therefore, engage various industries with the bioeconomy and (2) to continue distributing the questionnaires at each event will increase the number of responses and potentially vary the audience profile, making it possible to obtain new insights into opportunities for digitised bio-based economy value chain building. These lessons learned could be applied to workshops aiming for intersectoral collaboration and for technology transfer and innovation promotion, not necessarily framed in a regional DIH action plan. Moreover, other knowledge area workshops with these same objectives could benefit, as well, from the integration of these lessons learned when shaping them (e.g., digitisation of agri-food sector or lean manufacturing adoption by textile sector). Further research activities are foreseen in order to enlarge the DIH value chain coverage, enhancing this way the impact at a regional level. Specifically, the set of biomasses considered in the DIHs will be enlarged in the short-medium term, contributing as well to the sustainability of bioproduct markets. In the case of Andalusia, forestry and livestock will be considered the next target, while in the case of south-east Ireland, algae (marine and seaweed) and organic waste are going to be the next focus. In addition, limitations from the work presented herein can be addressed through future research studies along value-chain-specialised DIH formation. One of the drawbacks of these types of studies lies in the small number of DIHs currently existent and their relatively heterogeneous geographic distribution. A recommendation for further investigations in the field of DIH design and development may address not only DIHs’ perspectives, but analyse SMEs’ perceptions of the services that are offered to corroborate and expand the findings presented here, for example, considering a larger scale of DIHs differentiating per structure, sector and technology, examining also the partners’ view (e.g., large firms and universities). Briefly, conclusions and lessons learned from the experiences of DIH establishment are summarised below. • Firstly, in order to maximise the impact of the DIHs at a regional level, integrating the DIHs in the local context of digitization actions and policies is of utmost relevance. • Secondly, understanding the needs of the industries participating is very relevant to become an effective bio-based economy DIH. • Thirdly, to create a higher impact for the demonstration day, industry, rather than academia or technology providers, must discuss the technologies that they have integrated, and inform stakeholders about the way in which this technology has improved efficiency or added value to their processes. • Finally, the importance of communication and dissemination plans, as well as a well-formed DIH service definition, is crucial when establishing this type of structure to maximise the mutual benefit and collaborations. Author Contributions: M.M.A., G.d.l.V.N., M.N.F., D.P.R., J.G., J.A., H.M., P.D.; J.A.U., M.N.P.-C., M.S.C.M., A.J.G.M., F.G.M.; methodology, M.M.A., G.d.l.V.N., M.N.F., D.P.R., J.G., J.A., H.M., P.D.; J.A.U., M.N.P.-C., M.S.C.M., A.J.G.M., F.G.M.; investigation, M.M.A., G.d.l.V.N., M.N.F., D.P.R., J.G., J.A., H.M., P.D.; J.A.U., M.N.P.-C., M.S.C.M., A.J.G.M., F.G.M.; writing—review and editing, M.M.A., G.d.l.V.N., M.N.F., D.P.R., J.G., J.A., H.M., P.D.; J.A.U., M.N.P.-C., M.S.C.M., A.J.G.M., F.G.M. All authors have read and agreed to the published version of the manuscript. Funding: This research was funded by the Bio-based Industries Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 792221. Acknowledgments: Authors would like to acknowledge the support from ICT-BIOCHAIN project partners: Sustainable Innovations Europe S.L., Teknologian tutkimuskeskus VTT Oy, Industrial Biotechnology Innovation Centre (“IBioIC”)-University of Strathclyde and Fraunhofer gesellschaft zur foerderung der angewandten forschung E.V.-IML. Conflicts of Interest: The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript or in the decision to publish the results. J. Open Innov. Technol. Mark. Complex. 2020,6, 115 22 of 25 Appendix A J. Open Innov. Technol. Mark. Complex. 2020, 6, x FOR PEER REVIEW 23 of 26 Appendix A Figure A1. Map of funding sources available for the Irish DIH. Figure A1. Map of funding sources available for the Irish DIH. J. Open Innov. Technol. Mark. Complex. 2020,6, 115 23 of 25 References 1. 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