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    <publishedYear>2022</publishedYear>
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    <volume>84</volume>
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    <title language="eng">A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance</title>
    <abstract language="eng">The adoption of residential photovoltaic systems (PV) is seen as an important part of the sustainable energy transition. To facilitate this process, it is crucial to identify the determinants of solar adoption. This paper follows a meta-analytical structural equation modeling approach, presenting a meta-analysis of studies on residential PV adoption intention, and assessing four behavioral models based on the theory of planned behavior to advance theory development. Of 653 initially identified studies, 110 remained for full-text screening. Only eight studies were sufficiently homogeneous, provided bivariate correlations, and could thus be integrated into the meta-analysis. The pooled correlations across primary studies revealed medium to large correlations between environmental concern, novelty seeking, perceived benefits, subjective norm and intention to adopt a residential PV system, whereas socio-demographic variables were uncorrelated with intention. Meta-analytical structural equation modeling revealed a model (N = 1,714) in which adoption intention was predicted by benefits and perceived behavioral control (R2 = .280), and benefits in turn could be explained by environmental concern, novelty seeking, and subjective norm (R2 = .641). Our results imply that measures should primarily focus on enhancing the perception of benefits. Based on obstacles we encountered within the analysis, we suggest guidelines to facilitate the future aggregation of scientific evidence, such as the systematic inclusion of key variables and reporting of bivariate correlations.</abstract>
    <parentTitle language="eng">Energy Research &amp; Social Science</parentTitle>
    <identifier type="issn">2214-6326</identifier>
    <identifier type="doi">10.1016/j.erss.2021.102339</identifier>
    <enrichment key="opus.import.data">@articleSchulte.2022b, author = Schulte, Emily and Scheller, Fabian and Sloot, Daniel and Bruckner, Thomas, year = 2022, title = A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance, pages = 102339, volume = 84, issn = 22146296, journal = Energy Research &amp; Social Science, doi = 10.1016/j.erss.2021.102339</enrichment>
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    <author>Emily Schulte</author>
    <author>Fabian Scheller</author>
    <author>Daniel Sloot</author>
    <author>Thomas Bruckner</author>
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  <doc>
    <id>3910</id>
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    <pageFirst>207</pageFirst>
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    <title language="eng">Enhancing Understanding of Geographical Adoption Patterns of Residential Rooftop Photovoltaic Using a Consumer Segmentation Model—A Case Study in Saxony, Germany</title>
    <abstract language="eng">This paper addresses two issues in spatial research on residential PV adoption: First, spatial analyses typically do not differentiate between households who have decision power over their rooftop, and households who do not, possibly causing indistinct results. Second, household characteristics like environmental attitudes and innovativeness are not accounted for sufficiently, despite their proven relevance for adoption decisions. We performed a statistical analysis with an innovative spatial data set of Saxony (Germany) in which households of (semi-) detached houses were analyzed separated from the remainder, and household characteristics were included through the Sinus-milieu model. PV saturation in subgroups of the sample was compared using the Mann-Whitney U test. Results show that PV saturation is high in affluent zip-codes with high shares of (semi-) detached houses, and is higher in rural than in urban areas. The presence of environmentally concerned households (Post-Materialists) is positively, and the presence of innovative households (Leaders) is negatively associated with PV saturation. Our results show that household characteristics beyond socio-economic measures are relevant to understand differences in PV saturation in the Saxonian zip-codes. The merits of distinguishing between decisive households and the remainder are less clear.</abstract>
    <abstract language="deu">Dieser Artikel befasst sich mit zwei Problemen in der wissenschaftlichen Analyse der räumlichen Verteilung von privaten Aufdach-Photovoltaikanlagen: Erstens wird bei räumlichen Analysen in der Regel nicht zwischen Haushalten, die Entscheidungsgewalt über ihr Dach haben, und Haushalten, die dies nicht haben, unterschieden, was zu unklaren Ergebnissen führen kann. Zweitens werden Haushaltsmerkmale wie Umwelteinstellungen und Innovativität nicht ausreichend berücksichtigt, obwohl sie nachweislich für die Entscheidung über Photovoltaikanlagen relevant sind. Dazu haben wir eine statistische Analyse mit einem innovativen räumlichen Datensatz aus Sachsen (Deutschland) durchgeführt, in der die Haushalte in Ein- und Zweifamilienhäusern getrennt von den übrigen Haushalten analysiert wurden und Haushaltsmerkmale durch das Sinus-Milieu Modell einbezogen wurden. Die PV-Sättigung in Untergruppen der Stichprobe wurde mit dem Mann-Whitney-U-Test verglichen. Die Ergebnisse zeigen, dass die PV-Sättigung in wohlhabenden Postleitzahlen mit einem hohen Anteil an Ein- und Zweifamilienhäusern hoch ist, und in ländlichen Gebieten höher ist als in städtischen Gebieten. Der Anteil umweltbewusster Haushalte (Post-Materialisten) ist positiv und der Anteil innovativer Haushalte (Leaders) negativ mit der PV-Sättigung verbunden. Unsere Ergebnisse zeigen, dass Haushaltsmerkmale, die über sozioökonomische Merkmale hinausgehen, für das Verständnis der räumlichen Verteilung von Aufdach-Photovoltaikanlagen in den sächsischen Postleitzahlen relevant sind. Die Vorteile einer Differenzierung zwischen entscheidenden und den übrigen Haushalten sind weniger klar.</abstract>
    <parentTitle language="eng">Zeitschrift für Energiewirtschaft</parentTitle>
    <identifier type="issn">0343-5377</identifier>
    <identifier type="doi">10.1007/s12398-022-00329-0</identifier>
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    <author>Emily Schulte</author>
    <author>Fabian Scheller</author>
    <author>Thomas Bruckner</author>
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  <doc>
    <id>3911</id>
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    <publishedYear>2022</publishedYear>
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    <title language="eng">Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies</title>
    <abstract language="eng">Although single empirical studies provide important insights into who adopts a specific LCT for what reason, fundamental questions concerning the relations between decision subject (= who decides), decision object (= what is decided upon) and context (= when and where it is decided) remain unanswered. In this paper, this research gap is addressed by deriving a decision framework for residential decision-making, suggesting that traits of decision subject and object are determinants of financial, environmental, symbolic, normative, effort and technical considerations preceding adoption. Thereafter, the decision framework is initially verified by employing literature on the adoption of photovoltaic systems, energy efficient appliances and green tariffs. Of the six proposed relations, two could be confirmed (financial and environmental), one could be rejected (effort), and three could neither be confirmed nor rejected due to lacking evidence. Future research on LCT adoption could use the decision framework as guidepost to establish a more coordinated and integrated approach, ultimately allowing to address fundamental questions.</abstract>
    <parentTitle language="eng">Energy Research &amp; Social Science</parentTitle>
    <identifier type="issn">2214-6326</identifier>
    <identifier type="doi">10.1016/j.erss.2021.102313</identifier>
    <enrichment key="opus.import.data">@articleSchulte.2022e, author = Schulte, Emily and Scheller, Fabian and Pasut, Wilmer and Bruckner, Thomas, year = 2022, title = Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies, pages = 102313, volume = 83, issn = 22146296, journal = Energy Research &amp; Social Science, doi = 10.1016/j.erss.2021.102313</enrichment>
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    <author>Emily Schulte</author>
    <author>Fabian Scheller</author>
    <author>Wilmer Pasut</author>
    <author>Thomas Bruckner</author>
  </doc>
  <doc>
    <id>3904</id>
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    <publishedYear>2022</publishedYear>
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    <language>deu</language>
    <pageFirst>21</pageFirst>
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    <title language="deu">Beschreibung der realen Fallstudien als Forschungsobjekt für die modellbezogenen Analysen</title>
    <parentTitle language="deu">Agentenbasierte Modellierung urbaner Transformationsprozesse. Smart Utilities And Sustainable Infrastructure Change</parentTitle>
    <identifier type="isbn">9783832554132</identifier>
    <identifier type="doi">10.30819/5413.02</identifier>
    <enrichment key="opus.import.data">@incollectionScheller.2022d, author = Scheller, Fabian and Schulte, Emily and Johanning, Simon and Geyler, Stefan and Moritz, Marie and Bruckner, Thomas, title = Beschreibung der realen Fallstudien als Forschungsobjekt für die modellbezogenen Analysen, pages = 21–38, publisher = Logos Verlag Berlin, isbn = 9783832554132, editor = Johanning, Simon and Scheller, Fabian and Kühne, Stefan and Bruckner, Thomas, booktitle = Agentenbasierte Modellierung urbaner Transformationsprozesse, year = 2022, doi = 10.30819/5413.02</enrichment>
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    <author>Fabian Scheller</author>
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    <author>Simon Johanning</author>
    <author>Stefan Geyler</author>
    <author>Marie Moritz</author>
    <author>Thomas Bruckner</author>
    <series>
      <title>Studien zu Infrastruktur und Ressourcenmanagement</title>
      <number>Band 12</number>
    </series>
  </doc>
  <doc>
    <id>3926</id>
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    <publishedYear>2022</publishedYear>
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    <title language="eng">PVactVal: A Validation Approach for Agent-based Modeling of Residential Photovoltaic Adoption</title>
    <abstract language="eng">Agent-based simulation models are an important tool to study the effectiveness of policy interventions on the uptake of residential photovoltaic systems by households, a cornerstone of sustainable energy system transition. In order for these models to be trustworthy, they require rigorous validation.However, the canonical approach of validating emulation models through calibration with parameters that minimize the difference of model results and reference data fails when the model is subject to many stochastic influences. The residential photovoltaic diffusion model PVact features numerous stochastic influences that prevent straightforward optimization-driven calibration.From the analysis of the results of a case-study on the cities Dresden and Leipzig (Germany) based on three error metrics (mean average error, root mean square error and cumulative average error), this research identifies a parameter range where stochastic fluctuations exceed differences between results of different parameterization and a minimization-based calibration approach fails.Based on this observation, an approach is developed that aggregates model behavior across multiple simulation runs and parameter combinations to compare results between scenarios representing different future developments or policy interventions of interest.</abstract>
    <parentTitle language="eng">18th International Conference on the European Energy Market (EEM)</parentTitle>
    <identifier type="isbn">978-1-6654-0896-7</identifier>
    <identifier type="doi">10.1109/eem54602.2022.9921039</identifier>
    <enrichment key="opus.import.data">@inproceedingsJohanning.2022, author = Johanning, Simon and Abitz, Daniel and Schulte, Emily and Scheller, Fabian and Bruckner, Thomas, title = PVactVal: A Validation Approach for Agent-based Modeling of Residential Photovoltaic Adoption, pages = 1–6, publisher = IEEE, isbn = 978-1-6654-0896-7, booktitle = 2022 18th International Conference on the European Energy Market (EEM), year = 2022, doi = 10.1109/eem54602.2022.9921039</enrichment>
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    <author>Simon Johanning</author>
    <author>Daniel Abitz</author>
    <author>Emily Schulte</author>
    <author>Fabian Scheller</author>
    <author>Thomas Bruckner</author>
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  <doc>
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    <publishedYear>2022</publishedYear>
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    <language>deu</language>
    <pageFirst>139</pageFirst>
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    <pageNumber>14</pageNumber>
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    <title language="deu">PVactVal: Ein Ansatz für die operationale Validierung von Aufdach-PV Diffusionsmodellen</title>
    <parentTitle language="deu">Agentenbasierte Modellierung urbaner Transformationsprozesse</parentTitle>
    <identifier type="isbn">9783832554132</identifier>
    <identifier type="doi">10.30819/5413.11</identifier>
    <enrichment key="opus.import.data">@incollectionJohanning.2022c, author = Johanning, Simon and Schulte, Emily and Abitz, Daniel and Scheller, Fabian and Bruckner, Thomas, title = PVactVal: Ein Ansatz für die operationale Validierung von Aufdach-PV Diffusionsmodellen, pages = 139–152, publisher = Logos Verlag Berlin, isbn = 9783832554132, editor = Johanning, Simon and Scheller, Fabian and Kühne, Stefan and Bruckner, Thomas, booktitle = Agentenbasierte Modellierung urbaner Transformationsprozesse, year = 2022, doi = 10.30819/5413.11</enrichment>
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    <author>Simon Johanning</author>
    <author>Emily Schulte</author>
    <author>Daniel Abitz</author>
    <author>Fabian Scheller</author>
    <author>Thomas Bruckner</author>
    <series>
      <title>Studien zu Infrastruktur und Ressourcenmanagement</title>
      <number>Band 12</number>
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  <doc>
    <id>3739</id>
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    <pageFirst>725</pageFirst>
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    <edition/>
    <issue>5</issue>
    <volume>31</volume>
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    <publisherName>Wiley Online Library Open Access</publisherName>
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    <belongsToBibliography>1</belongsToBibliography>
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    <title language="eng">Decreased mental health, quality of life, and utilization of&#13;
professional help in cancer patients with unexpressed needs:&#13;
A longitudinal analysis</title>
    <abstract language="deu">Background: Cancer patients' mental health and quality of life can be improved through professional support according to their needs. In previous analyses of the UNSAID study, we showed that a relevant proportion of cancer patients did not express their needs during the admission interview of inpatient rehabilitation. We now examine trajectories of mental health, quality of life, and utilization of professional help in cancer patients with unexpressed needs. Methods: We enrolled 449 patients with breast, prostate, and colon cancer at beginning (T0) and end (T1) of a 3‐week inpatient rehabilitation and 3 (T2) and 9 (T3) months after discharge. We explored depression (PHQ‐2), anxiety (GAD‐2), emotional functioning (EORTC QLQ‐C30), fear of progression (FoP‐Q‐SF), and global quality of life (EORTC QLQ‐C30) using structuring equation models. Furthermore, we evaluated self‐reports about expressing needs and utilization of professional help at follow‐up. Results: Patients with unexpressed needs (24.3%, n = 107) showed decreased mental health compared to other patients (e.g., depression: d T0 = 0.32, d T1‐T3 = 0.39). They showed a significant decline in global quality of life at discharge and follow‐up (d = 0.28). Furthermore, they had a higher need for support (Cramer's V T2 = 0.10, T3 = 0.15), talked less about their needs (Cramer's V T2 = 0.18), and made less use of different health care services at follow‐up. Conclusion: Unexpressed needs in cancer patients may be a risk factor for decreased mental health, quality of life, and non‐utilization of professional help in the long term. Further research should clarify causal relationships and focus on this specific group of patients to improve cancer care.</abstract>
    <parentTitle language="eng">Psycho-Oncology</parentTitle>
    <identifier type="doi">10.1002/pon.5856</identifier>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <author>Verena Heß</author>
    <author>Karin Meng</author>
    <author>Thomas Schulte</author>
    <author>Silke Neuderth</author>
    <author>Jürgen Bengel</author>
    <author>Hermann Faller</author>
    <author>Michael Schuler</author>
    <collection role="institutes" number="fas">Fakultät Angewandte Sozialwissenschaften</collection>
  </doc>
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