Strategies for Integrating Quantitative Methods into Critical Social Acceptance Research

Sherren, Kate; Chappell, Ellen; Parkins, John R.

doi:10.1007/978-3-030-73699-6_2

Cited by 2 publications

(2 citation statements)

References 50 publications

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“…The instrument was designed to critically investigate LCA-aligned socioenvironmental priorities of energy host community residents in a place-based context, using approaches like forced tradeoffs and emotionally-grounded questions (e.g. asking participants to qualitatively describe their most and least favorite things about their natural environment and local community before proceeding to quantitative ranking and rating tasks) (Sherren et al 2021).…”

Section: Methodsmentioning

confidence: 99%

Results from a survey of life cycle assessment-aligned socioenvironmental priorities in US and Australian communities hosting oil, natural gas, coal, and solar thermal energy production

Grubert

2023

Environ. Res.: Infrastruct. Sustain.

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Large energy infrastructure is often socially and environmentally disruptive, even as it provides services that people have come to depend on. Residents of areas affected by energy development often note both negative and positive impacts. This reflects the multicategory nature of socioenvironmental outcomes and emphasizes the importance of careful and community-oriented decision making about major infrastructural transitions for processes like decarbonization. Quantitative tools like life cycle assessment (LCA) seek to collect and report comprehensive impact data, but even when successful, their value for decision support is limited by a lack of mechanisms to systematically engage with values-driven tradeoffs across noncommensurable categories. Sensitivity analyses designed to help decision makers and interested parties make sense of data are common in LCA and similar tools, but values are rarely explicitly addressed. This lack of attention to values – arguably the most meaningful set of decision inputs in such tools – can lead to overreliance on single issue (e.g., climate change impact) or proxy (e.g., monetized cost) outputs that reduce the value of holistic evaluations. This research presents results from preregistered hypotheses for a survey of residents of energy-producing communities in the United States (US) and Australia, with the goal of uncovering energy transition-relevant priorities by collecting empirical, quantitative data on people’s priorities for outcomes aligned with LCA. The survey was designed to identify diverse value systems, with the goal of making it easier for users to identify and consider value conflicts, potentially highlighting needs for further data collection, system redesign, or additional engagement. Notably, results reveal remarkably consistent priority patterns across communities and subgroups, suggesting that the common LCA practice of equal prioritization might be masking decision-relevant information. Although this effort was designed specifically to support research on energy transitions, future work could easily be extended more broadly.

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Section: Methodsmentioning

confidence: 99%

Results from a survey of life cycle assessment-aligned socioenvironmental priorities in US and Australian communities hosting oil, natural gas, coal, and solar thermal energy production

Grubert

2023

Environ. Res.: Infrastruct. Sustain.

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“…Technology acceptance is predominantly studied using methods such as surveys (Globisch et al, 2019; Schlüter and Weyer, 2019; Sherren et al, 2021), simulation (Kavianipour et al, 2021; Tarroja and Hittinger, 2021), and interviews (Ehrler and Hebes, 2012; Scherhaufer et al, 2017). More recent approaches analyze large data sets such as registrations of electric vehicles to examine the adoption rate (Illmann and Kluge, 2020).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Unlocking the potential of public opinions for niche development using acceptance mining

Digmayer

Jakobs

2023

Methodological Innovations

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This paper proposes a combination of text mining and acceptance research as a methodological approach (“acceptance mining”) to facilitate the development of innovative technologies in niches. At the example of recharging infrastructures for electric vehicles, the approach is explored on a sample of over 20,000 user comments collected from social media and discussion forums. The results indicate that acceptance mining provides valuable insights into the demands of the public during all phases of niche development which allow shaping niches in socially acceptable ways. In particular, the method reveals requirements and risks of niche-development measures such as shielding, nurturing, and empowering niches as perceived by the public. The results are discussed regarding the potentials of acceptance mining for developing innovations in niches as well as its limitations and possibilities for optimization. Acceptance mining and its application to a case study are especially of interest for researchers and practitioners involved in niche development; the study results provide valuable insights for professionals engaged in developing recharging infrastructures for electric vehicles.

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Strategies for Integrating Quantitative Methods into Critical Social Acceptance Research

Cited by 2 publications

References 50 publications

Results from a survey of life cycle assessment-aligned socioenvironmental priorities in US and Australian communities hosting oil, natural gas, coal, and solar thermal energy production

Results from a survey of life cycle assessment-aligned socioenvironmental priorities in US and Australian communities hosting oil, natural gas, coal, and solar thermal energy production

Unlocking the potential of public opinions for niche development using acceptance mining

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