Credible Framework Research Articles

Understanding the social return on investment of physical activity and sport: developing an international consensus

ABSTRACT There is growing demand from policy makers and practitioners to understand and measure the social impact of physical activity and sport (PAS) driven by the needs to justify investments from funders, improve decision-making of PAS managers, and produce robust and defensible evidence to underpin international and national PAS policy. Social return on investment (SROI) has emerged as a credible framework for measuring the non-financial impact of PAS; however, there is a lack of agreement about what and how social outcomes should be measured and valued. This article presents a research project that aims to address this gap through a systematic review and three-round Delphi study. The review identified five domains of social impact, and the Delphi study achieved consensus across 29 statements relating to health, education, crime, social capital, and well-being. The next stage of the project is to establish the most appropriate valuation techniques for capturing the monetary value of social outcomes from PAS across the domains. When complete, this research should encourage a more standardized approach to social impact measurement, which will help PAS stakeholders to articulate the social value of the sector more consistently.

Enhancing Speaker Credibility: Looking to Critical Literacy’s “Power” Through Strategic Presentation Skills

The concept of speaker credibility is proposed as mitigation to address two issues of confidence and anxiety, and gender differences, gathered from anecdotal feedback of business communication students. This article reviews the definition of speaker credibility and draws on two components—presentation skills and power—from Kenton’s source credibility model. It then discusses the two issues of confidence and anxiety, and gender differences. A speaker credibility framework is outlined from reviewing research on three specific presentation skills and proposing power from Janks’s critical literacy. Limitations and future research include testing the framework’s validity discussed at the end.

Navigating Credibility and Approachability in Conflict Zones: Insights from Fieldwork in Nigerian Communities Facing Eco-Violence

This article contributes to the literature by proposing an expanded “framework for credibility and approachability,” extending the framework’s applicability in conflict-affected societies. The credibility and approachability framework aids researchers in comprehending and evaluating their fieldwork experiences, enabling them to articulate their experiences clearly and insightfully. Drawing on the reflexive experiences of a diaspora-based researcher who used this framework to prepare for fieldwork in Nigeria, the article illustrates the framework’s components plus the added “bearability” component. The experiences were borne out of a study with 54 participants across focus groups in communities affected by eco-violence in the Nigerian Middle Belt. The researcher’s positionality of “betweenness” is also discussed, highlighting the complexities of conducting research as an academic “homecomer” in communities located in conflict-affected areas.

A Credibility Framework for Extreme Value-at-Risk

Value-at-risk estimates derived from extreme value data by fitting fat-tailed distributions can be so large that their validity is open to question. In this paper, an objective criterion, and a framework from which it was developed, are presented in order to decide whether or not a fitted distribution is inappropriate for the purpose of value-at-risk calculation. That criterion is based on established extreme value theory (principally the Pickands-Balkema-deHaan Theorem), which is used to calculate a sequence of reference value-at-risk estimates using Generalised Pareto distributions. Those estimates are used to develop a closed-form formula for calculating a theoretical ’maximum’ value-at-risk. The method is validated by generating 100 random data sets and testing them against the framework for varying input parameter values. Approximately 75% of those cases passed the validation test.

Design of TAM-based framework for credibility and trend analysis in sharing economy: Behavioral intention and user experience on Airbnb as an instance

Sharing economy redefines the meaning of share. Thanks to it, products provided by suppliers may have rather different standards due to their subjective consciousness. This situation brings high pre-purchase uncertainties to consumers, therefore, trust between suppliers and consumers then becomes a key to succeed in the era of sharing economy. Airbnb, one of the platforms that best describes the concept of sharing economy, is taken as an example in this study. Our team designs a series of scenarios and assumptions that follow the criteria of the Technology Acceptance Model (TAM) to find out various factors that affect customer behavioral intentions and prove that trust is the most important factor in the Sharing economy. Both parties, including host and user on the platform, are considered as subjects, and a three-year-long questionnaire test is implemented to collect data from end-users in order to reach an objective conclusion. Partial Least Squares-Structural Equation Modeling is then applied to verify the hypothesis. In addition, consumption is a continuous action, personal experience may also affect trust in the Airbnb and even consumption propensity. Therefore, Multi-Group Analysis (MGA) is used to explore the impact of consumer experience differences on trust and purchase intention. Finally, the results show that the ease of use of the Airbnb Platform has a greater impact on consumer attitude than all of the information on Airbnb, and then have a positive impact on overall behavioral intentions.

Pushing the boundaries of the quarantine model: Philosophical concerns and policy implications

The quarantine model, recently proposed by Pereboom and Caruso, is one of the most influential models developed to date in the context of criminal justice. The quarantine model challenges the very idea of criminal punishment and asserts that nobody deserves punishment on a fundamental level. Instead, in order to deal with offenders, it proposes a series of incapacitation measures based on public safety concerns. In this article, we examine several objections to the quarantine model that demonstrate how, in our view, it can be improved. These mainly pertain to (2.1) the difficulty of reliably identifying dangerous individuals and consequently the need to base confinement decisions on probability, and (2.2) the potential for the quarantine model not to properly deter certain crimes. Three additional objections are raised with respect to (3.1) the rights that are potentially suppressed in the quarantine model; (3.2) the role of “genetic justice”; and (3.3) the difficulty it faces accommodating reasons-responsiveness. Whereas these objections do not constitute knock-down arguments against the quarantine model, they highlight issues that invite closer scrutiny, at least if it is to be considered as a credible framework for the development of viable policies in criminal justice.

A Systematic Review of Generative AI and (English Medium Instruction) Higher Education

This systematic review investigates the current state of research on Generative Artificial Intelligence (GenAI) and its implications for (EMI) Higher Education. The study employs a methodology based on an evidence-informed and theoretically credible framework to answer two research questions: (1) What studies of relevance to (EMI) Higher Education have been published thus far, considering the most recent developments of GenAI? and (2) Which key areas are currently lacking in extant literature and in need of further scholarly exploration in this regard in (EMI) Higher Education research? The results of the study reveal a limited number of pertinent publications, indicating a sparse scholarly landscape with a dearth of work on the implications of Generative AI in EMI Higher Education. Based on these findings, preliminary recommendations have been made to guide future research in this area. This study contributes to the literature by highlighting the need for further research on the potential of GenAI to enhance the teaching and learning experience in (EMI) Higher Education and provides a theoretical framework to guide future research. These findings may inform researchers and educators interested in exploring how GenAI may be leveraged from different educational perspectives.

Explainable tweet credibility ranker: A comprehensive credibility solution

It is observed that previous credibility assessment studies missed some important concepts of credibility. Their data was self-extracted and annotated only on the basis of basic human perception. Their decision was not explainable and led to dissatisfaction. The study attempted to accomplish all these objectives through an explainable and comprehensive credibility solution. The solution adheres to all necessary concepts of credibility presented in the microblog credibility framework and ranks the tweet from 0 to 5. The decision is also explainable to the user. The standard dataset is used with further credibility ranking, which is done by the experts using guided annotation. Despite the known trade-off that exists between accuracy and explainability, we have used all those models which produce high accuracy but our solution is also explainable. Light GBM performed the best. Results are also compared with baselines, which demonstrate that our method produced good results with an Acc. of 99.4.

A risk and credibility framework for in silico clinical trials of medical devices

Background and objectiveThe use of in silico clinical trials (ISCTs) to generate clinically-relevant data on new medical devices is an emerging area of regulatory research. Interest in ISCTs stems from recognized challenges in acquiring sufficient clinical data and the continued maturation of in silico technologies. There is currently no guidance in place for evaluating the credibility of ISCT applications. The objective of this work was to adapt an existing risk-based credibility framework specifically for ISCT applications, and demonstrate its utility on a contemporary case study. MethodsExpanding on guidance currently in place for assessing the risk of traditional modeling applications of medical devices and demonstrating model credibility through benchtop validation activities, a framework is proposed to (1) evaluate the model risk for ISCT applications based on the independent factors of scope, coverage, and severity, and (2) assess the credibility of clinical validation activities based on consideration of the clinical comparator, the validation model, the agreement between the two, and the applicability of the clinical validation activities to the ISCT application. ResultsThe resulting framework spans across the range of ISCT applications that may be envisioned, as well as the variety of clinical datasets that can be used to demonstrate model credibility. Credibility factors reflect the expected clinical variability in the validation comparator and validation model, the statistical power of the comparator, the rigor of agreement between the comparator and model in terms of both inputs and outputs, and the overall similarity of the device in the validation activities to the device within the intended ISCT. When applied to a high-risk case study, the framework reveals that planned clinical validation activities require additional rigor in order to achieve the credibility targets, enabling an assessment of the validation effort relative to the potential benefit prior to investing in the validation studies. DiscussionAn objective and risk-based framework for establishing credibility requirements for ISCT applications is a critical step in advancing ISCT from theory to practice. The proposed framework enforces that appropriate validation of ISCT applications requires evidence that the intended clinical environment is accurately represented. The framework will contribute to reducing uncertainty amongst technical, clinical, and regulatory constituents on ISCT applications, and promote rational adoption.

Perseverance, partnerships and passion: ingredients for successful local government policy to promote healthy and sustainable diets

BackgroundLocal government authorities are well-placed to invest in evidence-based food policies that promote a population-wide shift to healthy and sustainable diets. This study describes the contextual factors that facilitated or impeded policy-making related to healthy and sustainable diets within a ‘best-performing’ local government in Victoria, Australia.MethodsGuided by the Consolidated Framework for Implementation Research (CFIR), data from semi-structured interviews with individuals involved in developing the City of Greater Bendigo’s Food System Strategy were analysed using the seven-stage Framework Method.ResultsSemi-structured interviews (n = 24) were conducted with City of Greater Bendigo employees (n = 15) and key stakeholders working for local organisations (n = 6) or at a state or national level (n = 3). Interviewees mostly held positions of leadership (n = 20) and represented diverse areas of focus from health (n = 7), food systems (n = 4) and planning and public policy (n = 3). Data analysis revealed 12 cross-cutting themes; eight facilitating factors and four impeding factors. Facilitating factors included perseverance, community engagement, supportive state policy, effective leadership, a global platform and networks, partnerships, workforce capacity and passion, and the use of scientific evidence. Impeding factors included access to secure, ongoing financial resources, prohibitive state and federal policy, COVID-related disruptions to community engagement and competing stakeholder interests. Overall, this study suggests that the City of Greater Bendigo’s success in developing an evidence-based local food system policy is built upon (i) a holistic worldview that embraces systems-thinking and credible frameworks, (ii) a sustained commitment and investment throughout the inner-setting over time, and (iii) the ability to establish and nurture meaningful partnerships with community groups, neighbouring local government areas and state-level stakeholders, built upon values of reciprocity and respect.ConclusionsDespite insufficient resourcing and prohibitive policy at higher levels of government, this ‘best performing’ local government in Victoria, Australia developed an evidence-based food system policy by employing highly skilled and passionate employees, embracing a holistic worldview towards planetary health and harnessing global networks. Local government authorities aspiring to develop integrated food policy should nurture a workforce culture of taking bold evidence-informed policy action, invest in mechanisms to enable long-standing partnerships with community stakeholders and be prepared to endure a ‘slow-burn’ approach.

Credibility assessment of computational models according to ASME V&V40: Application to the Bologna Biomechanical Computed Tomography solution

Background and objectiveWhen a computational model aims to be adopted beyond research purposes, e.g. to inform a clinical or regulatory decision, trust must be placed in its predictive accuracy. This practically translates into the need to demonstrate its credibility. In fact, prior to its adoption for regulatory purposes, an in silico methodology should be proven credible enough for the scope. This has become especially relevant as, although evidence of the safety and efficacy of new medical products or interventions has been traditionally provided to the regulator experimentally, i.e., in vivo or ex vivo, recently the idea to inform a regulatory decision in silico has made its way in the regulatory scenario. While a harmonised technical standard is currently missing in the EU regulatory system, in 2018 the ASME issued V&V40–2018, where a risk-based framework to assess the credibility of a computational model through the performance of predefined credibility activities is provided. The credibility framework is here applied to Bologna Biomechanical Computed Tomography (BBCT) solution, which predicts the absolute risk of fracture at the femur for a subject. BBCT has recently been the object of a qualification advice request to the European Medicine Agency. MethodsThe full implementation of ASME V&V40–2018 framework on BBCT is shown. Starting from BBCT proposed context of use the whole credibility plan is presented and the credibility activities (Verification, Validation, Applicability) described together with the achieved credibility levels. ResultsBBCT risk is judged medium, and the credibility levels achieved considered acceptable. The uncertainties intrinsically present in the material properties assignment affected BBCT predictions to the highest extent. ConclusionsThis work provides the practical application of the ASME V&V40–2018 risk-based credibility assessment framework, which could be applied to demonstrate model credibility in any field and support future regulatory submissions and foster the adoption of In Silico Trials.

How to Gain Confidence in the Results of Internal Risk Models? Approaches and Techniques for Validation

The development of risk models for managing portfolios of financial institutions and insurance companies requires, both from the regulatory and management points of view, a strong validation of the quality of the results provided by internal risk models. In Solvency II, for instance, regulators ask for independent validation reports from companies who apply for the approval of their internal models. We analyze here various ways to enable management and regulators to gain confidence in the quality of models. It all starts by ensuring a good calibration of the risk models and the dependencies between the various risk drivers. Then, by applying stress tests to the model and various empirical analyses, in particular the probability integral transform, we can build a full and credible framework to validate risk models.

Literature Review: Learning Through Game-Based Technology Enhances Cognitive Skills

Purpose: The goal of this study was to determine that video games can have a variety of effects on players, including improving working memory, cognitive flexibility, planning, spatial memory, emotions, and recognition through Digital Game-Based Learning Theoretical framework: Recent research has indicated positive outcomes for student performance and engagement in digital gaming in education with a significant impact on intrinsic motivation, game mechanics, and the learning process as a whole, with scientifically confirmed favourable consequences. DGBL is a recent creation, thus there is still a lot to research and discover about it. Design/methodology/approach: This study's objective was to gather and evaluate all empirical studies on improving cognitive abilities through game technology that had been published between 2000 and 2023. The author discusses a number of earlier research to investigate how game-based learning affects the growth of cognitive skills. 75 journal articles and 10 conference papers are examined by the author. The author also looks at three books about game-based learning. The author condenses his investigations into 58 articles by contrasting the various research gaps and approaches. The 58 articles included in this study were chosen from 30 reputable journals and provided trustworthy information as well as empirical evidence for further examination of the results of the 58 studies. These papers all drew their information from reliable sources with high indexes. Findings: According to the findings of this study, game-based learning should become an important tool and e-resource for future learning in universities, particularly in academic libraries. This research backs up previous findings that game based will play an important role in learning in the future. Research, Practical & Social implications: We Suggest that more studies on game-based learning need to be conducted in the future to produce an effective learning environment based on credible frameworks and ideas. Originality/value: The results indicate that the number of publications is growing and a consistent research framework and procedures for conducting reliable video game research must be developed. When arbitrary information is necessary to advance toward the objective of the game; the context in which the game is used. The study conclusions may be used as a general guideline to create a game-based technology model by indulging all the game elements and through that game-based technology the user will be tested to understand the enhancement of cognitive ability. This study may present the reader with further intriguing study subjects.

Grid Side Distributed Energy Storage Cloud Group End Region Hierarchical Time-Sharing Configuration Algorithm Based on Multi-Scale and Multi Feature Convolution Neural Network

There is instability in the distributed energy storage cloud group end region on the power grid side. In order to avoid large-scale fluctuating charging and discharging in the power grid environment and make the capacitor components show a continuous and stable charging and discharging state, a hierarchical time-sharing configuration algorithm of distributed energy storage cloud group end region on the power grid side based on multi-scale and multi feature convolution neural network is proposed. Firstly, a voltage stability analysis model based on multi-scale and multi feature convolution neural network is constructed, and the multi-scale and multi feature convolution neural network is optimized based on Self-Organizing Maps (SOM) algorithm to analyze the voltage stability of the cloud group end region of distributed energy storage on the grid side under the framework of credibility. According to the optimal scheduling objectives and network size, the distributed robust optimal configuration control model is solved under the framework of coordinated optimal scheduling at multiple time scales; Finally, the time series characteristics of regional power grid load and distributed generation are analyzed. According to the regional hierarchical time-sharing configuration model of “cloud”, “group” and “end” layer, the grid side distributed energy storage cloud group end regional hierarchical time-sharing configuration algorithm is realized. The experimental results show that after applying this algorithm, the best grid side distributed energy storage configuration scheme can be determined, and the stability of grid side distributed energy storage cloud group end region layered time-sharing configuration can be improved.

Influencers' “organic” persuasion through electronic word of mouth: A case of sincerity over brains and beauty

AbstractDespite the growing importance of influencers' word‐of‐mouth through audiovisual content, little is known about its effect on consumers' brand evaluation, purchase intentions, and decisions. Drawing on Ohanian's source credibility framework, we conducted two studies across different influencers, product categories, and respondents' gender and tested the hypotheses using covariance‐based and partial least square structural equation modeling. Study 1 focuses on a mega‐influencer of cosmetic and beauty brands and predominantly involves female respondents. The findings show that the influencer's attractiveness affects perceptions about source expertise and source trustworthiness but not brand attitude, while source expertise predicts source trustworthiness, and both mediate the effect of source attractiveness on brand attitude. In contrast, brand attitude predicts purchase intention and mediates the impact of source credibility dimensions. Study 2 focuses on various influencers of hedonic products (lifestyle, fashion, and beauty). The results confirm the influence of source attractiveness and expertise on source trustworthiness, which ultimately predicts consumer purchase decisions. This study reveals the interdependencies between different source constructs, contributing to source credibility theory. Furthermore, we show that the effect of source dimensions that are relevant in the celebrity endorsement literature, such as source attractiveness, do not directly influence consumers' intentions and decisions in the context of influencers' electronic word of mouth. Finally, the two studies confirm that only influencers perceived as honest and sincere can influence consumers' purchase decisions.

Credibility assessment of municipal climate change adaptation plans using the ex-ante method: A case study of Poland

Adaptation to climate change is becoming a commonly understood necessity, therefore more and more cities are beginning to develop adaptation plans. The effects of planned actions remain an unknown for a long time, thus the quality and credibility of developed plans are of special importance. The goal of this work is to determine the credibility of 44 municipal adaptation plans (MAP) developed in 2015–2019 by the largest Polish cities as part of a governmental program. Further objectives include indicating the weak and strong points of adaptation planning, attempting to explain the causes of different assessment results of adaptation plans for particular cities, and evaluating the usability of the Adaptation Policy Credibility (APC) framework in Polish conditions. It was found that institutional support for adaptation planning had a highly positive effect. All the cities which joined the project developed highly credible plans, but the quality of these plans varied. The weak points of planning in Polish cities include its regulatory nature and the related legislation, past performance, funding, consistency, equity and justice, and public opinion. On the other hand, the strong points of planning in Polish cities include network membership, adaptation options, and taking uncertainty into consideration. Important aspects also include directing future research towards the development of a method for assessing the implementation of planned actions.

P60. Strengthening health systems globally for prevention and management of musculoskeletal health conditions: development of a global strategy using a three phased mixed methods design

<h3>BACKGROUND CONTEXT</h3> Global health estimates suggest the burden of musculoskeletal (MSK) impairments, especially spinal pain, will rise globally, painting a stark warning to health systems and economies. Health system strengthening efforts are urgently needed to improve the prevention and management of MSK impairments and arrest the global disability burden. <h3>PURPOSE</h3> To engage and consult with the MSK health and broader health and policy communities to inform the co-design of a blueprint for a global strategy. The purpose was to identify requisite components to guide later strategy development, adaptable for global-level and/or national-level health systems. <h3>STUDY DESIGN/SETTING</h3> A mixed-methods, three-phased design was utilized. The three phases included a qualitative study with international key informants (KIs) (phase 1); a scoping review of national health policies (phase 2); and a global eDelphi (phase 3). <h3>PATIENT SAMPLE</h3> Participants were recruited through intentional sampling of representatives of international organizations involved in MSK health care, health systems strengthening, and patient advocates (phase 1). In phase 3, open recruitment was leveraged through professional networks and social media. <h3>METHODS</h3> In phase 1, virtual semi-structured interviews were conducted and recorded. Verbatim transcripts were analyzed using grounded theory approach. Phase 2 was a scoping review of national health policies to identify MSK policy trends and foci across the 30 most populated nations. Text data were extracted from the documents and evaluated using content analysis to identify themes and subthemes. Phase 3, informed by phases 1–2, was a global two-round eDelphi where panelists rated and iterated a framework of priorities and detailed components/actions, including identification of essential actions. In round 1, feedback on the logic model and components was sought using quantitative ratings (analysed using the RAND UCLA approach) and free text fields. A revised framework was presented in round 2 where participants rated the overall framework for value and credibility using a Likert scale (1-5) and to identify elements that were ‘essential, desirable, or unsure.' <h3>RESULTS</h3> Phase 1: Thirty-one KIs representing 25 organizations were sampled from 20 countries (40% low- and middle-income (LMIC)). Inductively derived themes were used to construct a logic model consisting of 5 guiding principles, 8 strategic priority areas and 7 accelerators for action. Phase 2: Of the 165 documents identified, 41 (24.8%) from 22 countries (88% high-income countries) and 2 regions met the inclusion criteria. Eight overarching policy themes, supported by 47 subthemes, were derived, aligning closely with the logic model. Phase 3: 674 panelists from 72 countries (46% LMICs) participated in round 1 and 439 (65%) in round 2. Fifty-nine components were retained with 10 (17%) identified as essential for health systems globally and 15 (25%) identified specifically for LMICs. 97.6% and 94.8% of panelists agreed or strongly agreed the framework was valuable and credible for health systems strengthening. Ultimately, a framework of 8 pillars and 59 components was proposed. <h3>CONCLUSIONS</h3> An empirically derived framework, co-designed and strongly supported by multi-sectoral stakeholders, can now be used as a blueprint for global and country-level responses to improve musculoskeletal health and prioritize health system strengthening initiatives. Further exploration of issues and priorities relevant to LMICs and implementation monitoring are warranted. <h3>FDA DEVICE/DRUG STATUS</h3> This abstract does not discuss or include any applicable devices or drugs.

Pricing Longevity Bonds under a Credibility Framework with Limited Available Data

For annuity providers, a higher life expectancy is not always positive news, as it potentially implies increased future costs, since benefits must be provided over a longer period of time. The underlying risk behind the unexpected improvement in life expectancy is called longevity risk. One way to hedge this risk can be attained with the process of securitization through mortality risk securities. This process requires an accurate prediction of the future mortality dynamics with an appropriate mortality model. However, a major issue in mortality modeling is the limited number of available data for a given population. The purpose of this paper is to present a mortality model under the credibility regression framework, aiming to capture the future mortality trends, especially for population datasets of limited available observations. Then, we show how this approach can be incorporated into pricing longevity bonds with the Wang transform. To ensure transparency and applicability in our illustration, the longevity bond pricing is based on the mortality data of Greece.

Building patients’ trust in psychologists in online mental health communities

Sufferers’ mental illnesses experience changes in communication, cognition, and behavior, exposing differences in social behavior and relationships. Many who suffer from mental health problems notice that the reduced communication ability leads to social inclusion and distrust of others. Online Mental Health Communities (OMHCs) facilitate a new means of communication between patients and physicians. Based on the trust source credibility framework, trust transitivity theory, social resources and physician-patient interactions, this study aims to evaluate the factors that influence patients’ trust in OMHCs. We crawled the data from Haodf.com, the leading healthcare community platform in China, to study the factors that influence patients’ trust using the ordinary least squares regression method. 725 psychologists’ records were collected on 19 November, 2019, 20 December, 2019, and 20 May, 2020. Compared with face-to-face physician appointments, Chief Physicians are more likely to gain patients’ initial trust online. Further, psychologists’ integrity, online reputation, and group size have significant positive impact on the initial trust of patients. Similarly, patients’ online initial trust and efforts have significantly positive influences on their continuous trust online. To improve relationships between physicians and patients, physicians must strengthen their clinical abilities and be honest with patients. The findings of this study provide insights into the factors that influence patients’ trust in OMHCs.

Some results on quadratic credibility premium using the balanced loss function

PurposeThis paper generalizes the quadratic framework introduced by Le Courtois (2016) and Sumpf (2018), to obtain new credibility premiums in the balanced case, i.e. under the balanced squared error loss function. More precisely, the authors construct a quadratic credibility framework under the net quadratic loss function where premiums are estimated based on the values of past observations and of past squared observations under the parametric and the non-parametric approaches, this framework is useful for the practitioner who wants to explicitly take into account higher order (cross) moments of past data.Design/methodology/approachIn the actuarial field, credibility theory is an empirical model used to calculate the premium. One of the crucial tasks of the actuary in the insurance company is to design a tariff structure that will fairly distribute the burden of claims among insureds. In this work, the authors use the weighted balanced loss function (WBLF, henceforth) to obtain new credibility premiums, and WBLF is a generalized loss function introduced by Zellner (1994) (see Gupta and Berger (1994), pp. 371-390) which appears also in Dey et al. (1999) and Farsipour and Asgharzadhe (2004).FindingsThe authors declare that there is no conflict of interest and the funding information is not applicable.Research limitations/implicationsThis work is motivated by the following: quadratic credibility premium under the balanced loss function is useful for the practitioner who wants to explicitly take into account higher order (cross) moments and new effects such as the clustering effect to finding a premium more credible and more precise, which arranges both parts: the insurer and the insured. Also, it is easy to apply for parametric and non-parametric approaches. In addition, the formulas of the parametric (Poisson–gamma case) and the non-parametric approach are simple in form and may be used to find a more flexible premium in many special cases. On the other hand, this work neglects the semi-parametric approach because it is rarely used by practitioners.Practical implicationsThere are several examples of actuarial science (credibility).Originality/valueIn this paper, the authors used the WBLF and a quadratic adjustment to obtain new credibility premiums. More precisely, the authors construct a quadratic credibility framework under the net quadratic loss function where premiums are estimated based on the values of past observations and of past squared observations under the parametric and the non-parametric approaches, this framework is useful for the practitioner who wants to explicitly take into account higher order (cross) moments of past data.