Exploring strengths and weaknesses of bioethanol production from bio-waste in Greece using Fuzzy Cognitive Maps

Konti, Aikaterini; Damigos, D.

doi:10.1016/j.enpol.2017.09.053

Cited by 26 publications

(12 citation statements)

References 23 publications

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“…Mental models have been used to identify the similarities and differences in the perception of various stakeholders, engaged in various challenges of renewable energy development, such as the solar energy [42], the wind energy [43], the bioethanol [44], and the future of hydrogen-based transport [45]. For instance, Konti & Damigos [44] recruited nine experts on the bioethanol for the construction of their cognitive maps. From the nine maps, they identified 65 variables including barriers (such as "economic crisis (increased cost)") and drivers (such as "incentives for the private sector (e.g., tax reduction)") for the production and use of bioethanol from biowaste in Greece.…”

Section: Mental Models: the Theory And The Applicationmentioning

confidence: 99%

“…From the nine maps, they identified 65 variables including barriers (such as "economic crisis (increased cost)") and drivers (such as "incentives for the private sector (e.g., tax reduction)") for the production and use of bioethanol from biowaste in Greece. They also highlighted that some issues are dominant for most of the experts but some others depend on the area of interest/expertise of each expert [44]. For example, experts from the local government sector consider as crucial the factors influencing the waste management system (legislation, organization, control), omitting or neglecting the technical aspects of the bioethanol production process.…”

Section: Mental Models: the Theory And The Applicationmentioning

confidence: 99%

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Mental Model Analysis of Biogas Energy Perceptions and Policy Reveals Potential Constraints in a Japanese Farm Community

2019

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Biogas systems are complex and involve many local stakeholders who produce and utilize energy and digestate. If the systems are managed properly, they offer environmental and socioeconomic benefits to the community. However, further expansion may be challenging when differences in values and perspectives exist among stakeholders. This study analyzed perceptions among local biogas stakeholders by using a mental model approach. A local community in a northern Japanese island was chosen as a case study, and 22 stakeholders were asked to develop individual mental models of the biogas system. We found that many stakeholders shared the cognitive benefits of biogas, while there were perception differences regarding digestate use. Arable farmers mentioned technical and non-technical constraints for accepting digestate, while dairy and non-farmers were ambivalent about these demand-side constraints. This perception difference may lead to potential obstacles for future expansion of biogas systems in the region. Therefore, biogas policy should incorporate actions for better usage of digestate. These include the mandatory planning of digestate use when designing a new biogas plant, as well as actions to improve the attractiveness of digestate for arable farmers. These findings are useful for other livestock-intensive areas where the number of biogas plants is rapidly increasing but digestate management is yet organized.

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Section: Mental Models: the Theory And The Applicationmentioning

confidence: 99%

Section: Mental Models: the Theory And The Applicationmentioning

confidence: 99%

Mental Model Analysis of Biogas Energy Perceptions and Policy Reveals Potential Constraints in a Japanese Farm Community

2019

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“…As graphical and "fuzzy" numerical representations of people's mental models, FCM structural elements may be compared among farmers and quantitatively analyzed. Structural characteristics such as the number of factors, number of connections between them, and the density of connections can be calculated and combined with other data sets for further analysis (Ozesmi and Ozesmi, 2004;Misthos et al, 2017;Konti and Damigos, 2018). Analysis can also examine "driving" or "transmitting" concepts-those that affect other concepts or factors in the map but are not themselves affected by other factors (e.g., in the case of farming "weather" would generally be considered a driver).…”

Section: Fuzzy Cognitive Mappingmentioning

confidence: 99%

Farmer Mental Models of Biological Pest Control: Associations With Adoption of Conservation Practices in Blueberry and Cherry Orchards

Bardenhagen

Howard

Gray

2020

Front. Sustain. Food Syst.

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Conservation practices in agriculture-such as biological pest control, provision of pollinator habitat and cover cropping-may provide ecosystem services that are beneficial to both farmers and wildlife. Despite these benefits, however, their use is not yet widespread and the factors that may limit adoption are not well-understood. In this study we tested potential associations between farmers' beliefs about ecosystem services and their management practices using data collected from questionnaires and cognitive maps from 31 Michigan blueberry and cherry farmers describing their farming systems. We found that farmers who included key biological pest control concepts in their mental model representations reported the use of more conservation practices, and/or participation in conservation programs, than those who did not. In addition, the timing of management practices was a more central factor in the mental models of farmers who included both natural predators and beneficial insects than those omitting these factors. Finally, the farmers who included those two factors showed higher degrees of systems thinking based on mental model metric analysis. We suggest that outreach emphasizing the relationships between ecosystem services and the factors farmers view as most important may positively influence communication and potential of adoption of conservation practices and preventative pest management strategies.

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“…Tablo 1. Bazı BBH uygulama alanları (FCMs implementations) Yayınlar Uygulama Alanı [5], [6] Siyasal ve Sosyal Bilimler [7], [8], [9], [10], [11] Sağlık [12], [13], [14] Mühendislik [15], [16], [17] İş [18], [19] Üretim Sistemleri [20], [21], [22], [23] Çevre ve Tarım [24], [21], [25] Bilgi Teknolojileri [26], [27], [28]…”

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A novel approach for institutionalization analysis based on fuzzy cognitive maps

Erkan

Uygun

Kiraz

2018

Sakarya University Journal of Science

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Nowadays, it becomes very important to know the level of institutionalization and as a result what improvements they can make for organizations. Though there are many conceptual studies of institutionalization in the literature, there is no study based on numerical methods that can provide a foresight about institutionalization. In this paper, a new model has been proposed by determining concepts that are effective on institutionalization from literature and expert opinions. Firstly, the relationships between the concepts are taken from the experts linguistically. Linguistic expressions are converted to numerical values using the center of gravity method (COG) used in fuzzy logic applications. Then, three different scenarios were investigated by using the Fuzzy Cognitive Maps (FCMs) algorithm and the future states of the concepts were determined and interpreted. In the first scenario, an organization with poorly managed organizational concepts was considered. The institutionalization tendency in this organization has reached to 0,027 value which is the estimation calculated by FCM algorithm in the future. The second scenario and the third scenario represents a midlevel and good organization respectively. Institutionalization tendency values were 0.97 for the second and third scenarios. However, when the number of iterations representing the time period is examined, it is seen that the organization thought in the third scenario has reached this value before 9 iterations. This is because the organization in the third scenario is well managed in the current situation. With the developed model, the most effective concepts on institutionalization were also identified. It has been determined that the most important concepts affecting institutionalization are process management, information management and strategic management. Compared to the literature, the results seem to be consistent.

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Exploring strengths and weaknesses of bioethanol production from bio-waste in Greece using Fuzzy Cognitive Maps

Cited by 26 publications

References 23 publications

Mental Model Analysis of Biogas Energy Perceptions and Policy Reveals Potential Constraints in a Japanese Farm Community

Mental Model Analysis of Biogas Energy Perceptions and Policy Reveals Potential Constraints in a Japanese Farm Community

Farmer Mental Models of Biological Pest Control: Associations With Adoption of Conservation Practices in Blueberry and Cherry Orchards

A novel approach for institutionalization analysis based on fuzzy cognitive maps

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