The Use of the Adoption Prediction Outcome Tool to Help Communities Improve the Transition Towards the Implementation of Nature-Based Solutions

López-Maciel, Max; Roebeling, Peter; Llewellyn, Rick; Figueiredo, Elisabete; Mendonça, Rita; Mendes, Rúben; Matos, Fábio André; Bastos, Maria Isabel

doi:10.1007/978-3-031-06825-6_192

Cited by 3 publications

(7 citation statements)

References 16 publications

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“…With the help of the web-based software tool ADOPT), which was developed in cooperation with the University of South Australia, the probable degree of adoption and diffusion of innovations through the target group of Bavarian dairy farmers can be predicted and evaluated [26,27]. In addition to predicting a possible adoption rate and the maximum diffusion in practice, ADOPT provides a weighting of various factors that influence innovation diffusion.…”

Section: Methodsmentioning

confidence: 99%

Prediction of the Spatial and Temporal Adoption of an Energy Management System in Automated Dairy Cattle Barns in Bavaria—“CowEnergySystem”

Bader,

Stumpenhausen,

Bernhardt

2024

Energies

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In view of rising global demand, energy is becoming a significant cost factor in industry and society. In addition to the global players China, India, and the USA, Africa will also become a driver of the world’s primary energy demand in the future due to the rapidly growing developing countries. In addition to the armed conflicts in Ukraine and the Middle East, global energy markets are tense and volatile due to inflation and higher borrowing costs. Because of society’s desire to phase out the use of fossil fuels, the use of renewable energies is increasingly taking center stage worldwide and especially in Germany. Rural areas and agriculture, especially energy-intensive livestock farms, are particularly affected by this development and are therefore faced with additional economic challenges. Additional energy can be generated by using photovoltaic systems on the roofs of farm buildings or by utilizing the liquid manure from livestock farming in biogas plants. For these farms, such alternative sources of energy could open previously untapped potential and additional synergies for using their own inexpensive energy on the farm or supplying surplus electricity directly to the public grid as a market participant. Agriculture could thus serve as an actor in a decentralized energy supply and thus build up regional energy networks. However, intelligent electricity storage concepts and a corresponding energy management system (EMS) are essential to be able to utilize the potential for renewable energy generation at all, to coordinate both internal production processes and the varying energy demand and supply on the electricity grid. As agricultural production processes differ greatly from farm to farm and region to region, the introduction of an energy management system is strongly dependent on user acceptance. The purpose of this study is to use the web-based software tool ADOPT (CSIRO 2018) to predict the level of acceptance and the duration of the market launch of an EMS based on the region of Bavaria. Individual important influencing factors for the subsequent regional marketing concept are also identified.

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Section: Methodsmentioning

confidence: 99%

Prediction of the Spatial and Temporal Adoption of an Energy Management System in Automated Dairy Cattle Barns in Bavaria—“CowEnergySystem”

Bader,

Stumpenhausen,

Bernhardt

2024

Energies

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“…ADOPT is a web-based model developed by the Commonwealth Scientific and Industrial Research Organisation (CISRO) along with other Australian laboratories and academic institutions [30,32,33]. Although ADOPT was originally designed for the agricultural sector [34], the principles underpinning ADOPT are non-agricultural specific [32] and, hence, ADOPT has also recently been applied to assess, for example, the factors influencing the adoption of solar photovoltaic systems [35].…”

Section: The Adoption and Diffusion Outcome Prediction Tool (Adopt)mentioning

confidence: 99%

“…For this purpose, an online survey was provided to private house/property owners in the urban area of Eindhoven. The information was analyzed with general descriptive statistics and used in the specialized adoption prediction model ADOPT [30] to assess the potential adoption and diffusion of green roofs by private house/property owners in Eindhoven. The results allow us to understand the factors that most affect the adoption and diffusion of green roofs in the case study area.…”

Section: Introductionmentioning

confidence: 99%

“…This study goes beyond, López-Maciel et al [30], who assessed the potential for the adoption of green roofs in Eindhoven in two separate workshops with experts from the Technical University of Eindhoven and the Municipality of Eindhoven by employing a survey setting targeted towards private house/property owners in the urban area of Eindhoven. The main difference between these two approaches is that the survey setting directly involved potential adopters, while the workshop setting involved experts who were considered representatives of potential adopters.…”

Section: Introductionmentioning

confidence: 99%

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Adoption and Diffusion of Nature-Based Solutions by Property Owners in Urban Areas: The Case of Green Roofs in Eindhoven, The Netherlands

López-Maciel,

Roebeling,

Llewellyn

et al. 2023

Resources

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This article explores general concepts related to the diffusion of innovations theory (DoI) and its use regarding the adoption of nature-based solutions, specifically green roofs, in urban areas by private house/property owners in the city of Eindhoven (Netherlands). Given the gap in knowledge on the potential for the adoption of green roofs by private house/property owners as well as barriers and enablers to their implementation from the DoI perspective, we used a model for predicting the adoption of innovations (ADOPT). Results show that the predicted peak adoption level is 3% and that the time to peak adoption level is 17 years. However, the level of adoption can be significantly enhanced by increasing profit benefit (i.e., cost savings) in the years that they are used (+19 percent points adoption), reducing risk exposure (+17 percent points adoption), and improving ease and convenience (+15 percent points adoption), while the time to peak adoption level can be reduced by enhancing relevant and existing skills and knowledge (−3 years), simplifying trialability and innovation complexity (−2 years), and increasing observability (−1 year). Hence, key factors affecting the adoption of green roofs by private house/property owners have been identified, contributing to the formulation of urban climate change adoption strategies.

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“…Another activity related to the UNaLAb project was the use of the Adoption and Diffusion Outcome Prediction Tool (ADOPT) (Available at: https://adopt.csiro.au/, accessed on 8 December 2022) on multiple occasions to measure the level of adoption and time to peak adoption of green roofs in the City of Eindhoven [27]. Initially, the study was conducted in a participatory workshop setting in the City of Eindhoven, including stakeholders from academia and local government, to compare participants' responses.…”

Section: The Unalab Approach and Covid-19mentioning

confidence: 99%

Participatory Action Research Challenges Amidst the COVID-19 Pandemic: A Review and Comparison across Two European Projects

et al. 2023

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The Coronavirus Disease 2019 (COVID-19) pandemic that spread through the world in 2020 had a major effect on academia. Research projects relying on participatory methods and action research approaches were especially harmed by the restrictions and changes the situation imposed. This study performs a rapid literature review to identify common themes in the narratives of published studies concerning the difficulties of carrying-out participatory research during the COVID-19 pandemic. Perceptions and experiences of the authors of these studies are compiled and summarized. Additionally, insights and lessons learned from two projects in which the authors of this study participated are discussed and used to establish a comparison with the common challenges found in the literature. Over 90% of authors experienced challenges related to digitalization and methodological changes, 70% encountered difficulties with organizational and operational aspects of research, and over 30% felt that personal challenges, as well as issues with participatory aspects of research, were significant. On a positive note, almost 40% of authors from our sample recognize that the pandemic also brought unexpected benefits, such as a reduction in logistical expenses, and the creation of new opportunities for participation. This study adds to the growing body of literature regarding the effects of the COVID-19 pandemic on the research community. Additionally, it comments on the adaptation of participatory action research methods for added sustainability and social inclusion in the face of global crises.

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The Use of the Adoption Prediction Outcome Tool to Help Communities Improve the Transition Towards the Implementation of Nature-Based Solutions

Cited by 3 publications

References 16 publications

Prediction of the Spatial and Temporal Adoption of an Energy Management System in Automated Dairy Cattle Barns in Bavaria—“CowEnergySystem”

Prediction of the Spatial and Temporal Adoption of an Energy Management System in Automated Dairy Cattle Barns in Bavaria—“CowEnergySystem”

Adoption and Diffusion of Nature-Based Solutions by Property Owners in Urban Areas: The Case of Green Roofs in Eindhoven, The Netherlands

Participatory Action Research Challenges Amidst the COVID-19 Pandemic: A Review and Comparison across Two European Projects

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