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    斯

    斯塔万格大学

    University of Stavanger
    院校EST. 2005
    1.3万论文总数
    26.5万引用总数

    论文量&引用量时间轴

    机构学者

    排序
    Terje Aven
    Terje Aven
    Institutt for Sikkerhet, Okonomi og Planlegging, Det Teknisk- Naturvitenskapelige Fakultet, Universitetet i Stavange
    论文:363引用:0H-index:0
    Muk Chen Ong
    Muk Chen Ong
    Institutt for Maskin, Bygg og Materialteknologi, Det Teknisk-Naturvitenskapelige Fakultet, University of Stavanger
    论文:267引用:0H-index:0
    Chunming Rong
    Chunming Rong
    Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger;BitYoga;Dataunitor
    论文:243引用:0H-index:0
    Kjell Hausken
    Kjell Hausken
    Faculty of Social Sciences, University of Stavanger
    论文:217引用:0H-index:0
    Chandima Ratnayake Mudiyanselage
    Chandima Ratnayake Mudiyanselage
    Institutt for Maskin, Bygg Og Materialteknologi, Det Teknisk-Naturvitenskapelige Fakultet, University of Stavanger;Department of Engineering Science and Safety, University of Tromsø
    论文:214引用:0H-index:0
    Arild Saasen
    Arild Saasen
    Institutt for energi- og petroleumsteknologi, Det teknisk- naturvitenskapelige fakultet, Universitetet i Stavanger
    论文:157引用:0H-index:0
    Malcolm Andrew Kelland
    Malcolm Andrew Kelland
    Institutt for Kjemi, Biovitenskap Og Miljøteknologi,Det Teknisk-Naturvitenskapelige Fakultet, University of Stavanger
    论文:156引用:0H-index:0
    Frank Asche
    Frank Asche
    School of Forest, Fisheries, and Geomatics Sciences, University of Florida;School of Forestry Resources and Conservation, University of Florida;Department of Industrial Economics, University of Stavanger;Institute for Sustainable Food Systems, University of Florida
    论文:152引用:0H-index:0
    Trygve Eftestøl
    Trygve Eftestøl
    Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Stavanger
    论文:148引用:0H-index:0

    论文(10000)

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    1Applying Strength of Knowledge Schemes in Practice: Insights from Risk Professionals
    Eivind Lorentzen-Styr, Kjartan Bjørnsen,Terje Aven

    Strength of knowledge (SoK) judgments are a key component in characterising risks from an uncertainty-based risk perspective. A commonly applied assessment scheme for this purpose involves evaluating the SoK based on several criteria: the reasonableness of assumptions, the availability and reliability of data, the degree to which phenomena are understood, the level of expert agreement, and the extent to which the knowledge has been scrutinised. The applicability of this scheme has been widely discussed and debated in the risk research literature. However, less attention has been given to its actual use and to risk practitioners' evaluations. In Norway, many practitioners regularly apply the SoK scheme to address real-world risk problems, as various public and private sectors have incorporated it into their risk assessment standards and guidance documents. In this paper, we examine how 22 risk practitioners use the SoK scheme and assess its utility. The study aims to provide insights into the challenges and benefits of applying the SoK scheme in practical contexts, thereby enhancing its applicability for practitioners and informing its ongoing development within the research community. Key findings relate to the scheme’s practical value in structuring uncertainty assessments and informing risk management, alongside identified needs for improved guidance to support consistent judgment and effective communication.

    2027Reliability Engineering & System Safety(2027)
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    2Extending Beyond “strength of Knowledge”: Introducing “strength of Justification” Judgments in Risk Assessment
    Terje Aven,Roger Flage, Eivind Lorentzen-Styr

    In recent years, considerable efforts have been made to better incorporate knowledge aspects into risk assessment. A variety of methods have been proposed, drawing on diverse attributes and both qualitative and quantitative approaches and methods. A central concept in this development is the “strength of knowledge” (SoK), which evaluates the strength of the knowledge base underpinning probability and risk judgments. This paper critically examines the SoK concept and argues for methodological advancement by expanding the focus beyond the mere strength of the supporting knowledge to also encompass the quality of the transformation process from that knowledge into the final probability and risk judgments. To address this, a new concept – “strength of justification” (SoJ) – is introduced. SoJ integrates both the quality of the knowledge itself and the rigor of the transformation steps leading to the probability and risk judgments. By adopting the SoJ framework, the paper derives enhanced methods for characterizing individual uncertainty judgments, as well as overall risk descriptions, offering a more comprehensive approach to assessing and communicating risk.

    2027Reliability Engineering & System Safety(2027)
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    3Tourists' Knowledge, Interest, Experience and Satisfaction with an Eco-Certified Whale Watching Tour
    Aaron Tkaczynski,Jinghua Xie

    Tourists increasingly express interest in choosing experiences that minimise environmental harm, yet it remains unclear if they actively choose eco-certified tours or how their environmental interest and/or knowledge shape their evaluations. This study investigates how tourists' knowledge and interest in whale watching, whale protection and environmentally responsible practices influence their recognition of and satisfaction with an eco-certified whale watching tour. Using 499 survey responses collected in British Columbia in 2024 and analysed with a logit model, the findings show that only half of tourists knew their tour was eco-certified, and that knowledge and interest function as distinct constructs. Interest strongly influences tourists' evaluation of environmentally responsible experiences, whereas knowledge, not interest, significantly predicts recognition of eco-certification. Satisfaction is driven primarily by the core wildlife outcome of seeing whales rather than tourists' prior knowledge, interest or experience with these practices. Although limited to one destination, these results suggest that eco-certification is a weak cognitive signal and that operators and destination marketers should prioritise strategies that foster tourist interest and engagement rather than relying solely on factual sustainability information.

    2026JOURNAL OF VACATION MARKETING(2026)引用:57
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    4District-level Drivers of Voter Turnout: Evidence from a Longitudinal Study in Turkey
    Tevfik Murat Yildirim

    A growing body of research points to heterogeneity in the predictors of turnout and highlights the importance of longitudinal designs in exploring within-country variation as a remedy. Building on this perspective, the present study examines the determinants of district-level voter turnout in Turkey using a panel dataset covering all provinces across 18 general elections between 1950 and 2023. Leveraging the country's unique variation in institutional and socioeconomic structure across time and space, results based on the Mundlak regression show that compulsory voting, socioeconomic development, and democratizing elections are associated with higher turnout, while political fragmentation and larger party systems are linked to lower turnout. Surprisingly, elections held under majoritarian systems experienced higher turnout than those under PR. Findings from additional analyses further suggest that higher levels of wasted votes, driven by the 10% national electoral threshold, may have dampened voter turnout in PR elections in the more recent decades, particularly in some districts. Overall, these findings suggest that voter turnout is a function of both local-level contextual factors and aggregate-level institutional features.

    2026PARTY POLITICS(2026)引用:50
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    5The Role of Student Cooperation in Intentions to Quit Higher Education
    Benjamin Saestad Beyene,Lene Vestad,Edvin Bru

    High university dropout rates have negative outcomes for both students and society. Supportive student cooperation may play an important role in preventing intentions to quit by promoting engagement and reducing loneliness among students. There is a need for more knowledge about the association of student cooperation, academic engagement, loneliness, and intentions to quit. This study, therefore, examined the association between student cooperation and intentions to quit via emotional and behavioral engagement and loneliness. These associations were tested by using latent structural equation modelling with data from a survey conducted among 356 first-year students. The results indicated two separate paths from student cooperation to intentions to quit, one via emotional engagement and the other via loneliness. The findings thus suggest that facilitating cooperation may prevent students' intentions to quit by enhancing emotional engagement and reducing feelings of loneliness.

    2026JOURNAL OF COLLEGE STUDENT RETENTION-RESEARCH THEORY & PRACTICE(2026)引用:47
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