Credibility Factor Research Articles

Theory of Behaviour dalam Virtual Interactivity untuk Meningkatkan Purchase Intention

With the growing evolution of social media, influencers have become an important intermediary between influencers and their audiences through the content they create, which can increase the role of social media as a marketing tool. The beauty industry faces challenges such as buyer disappointment after purchasing ']bnvc products reviewed by influencers, and the existence of influencers who accept endorsements of inauthentic products, causing losses to companies with genuine products and also deceiving their audiences by becoming a marketing medium for inauthentic products. Positive perceptions of the attractiveness of celebrity influencers have the potential to influence purchase intention. This research uses PSB Theory to analyze factors such as celebrity influencer's credibility, celebrity influencer attractiveness, attitude, virtual interactivity, brand awareness, and brand loyalty. It is hoped that the results of this research can become a basis for maximizing purchase intention through the factors of celebrity influencer's credibility, celebrity influencer attractiveness, attitude, virtual interactivity, brand awareness and brand loyalty

The Relationship between Credibility Factors and Perceived Facebook Credibility among Facebook Users

The Relationship between Credibility Factors and Perceived Facebook Credibility among Facebook Users

The Impact of Authenticity and Credibility Factors on Consumer Behavior in the Sustainable Fashion Industry on Weibo--Taking Micro-Influencers and Mega-Influencers as Examples

This study investigates the comparative influence of micro-influencers against mega-influencers on consumer behavior within the sustainable clothing industry on Weibo, and tries to reveal how authenticity and credibility factors shape purchasing decisions. This study utilizes qualitative research through semi-structured interviews with 8 participants (influencers and consumers) to highlight the integral key functions of influencers authenticity and marketing strategies in the sustainable fashion sector. It is found that micro-influencers who are believed to be genuine and more trustworthy, affect consumer buying decisions more than macro-influencers who have a wide reach but may not be seen as genuine enough. The study emphasizes the significance of strategic relationships with influencers, highlighting the imperative process of aligning with influencers whose values resonate with the brand and the audience. Nonetheless, the research realizes the limitations, namely, the small sample size and focus on a specific social media platform and proposes other studies to consider a wide population and different social media platforms.

Premium Estimation of General Insurance Contracts Using Buhlmann Credibility Model

Insurance coverage is reliant on appropriate premium determination, a focus addressed in this study through the application credibility theory. The aim was to compute short-term insurance premiums by leveraging authentic data from general insurance contracts as published in the IRA annual reports spanning from 2013 to 2021. The study employed the Buhlmann credibility model to derive net credible premiums for 13 non-life insurance contracts, assuming constant changes in business volumes. The estimation of credibility premiums was conducted by initially calculating within and between-portfolio variance with an aim of determining these premiums through linear estimation approach with the help of the credibility premium formula. The results revealed consistent credibility factors across all contracts, although other influencing factors were neglected. Therefore, it was highly recommended that an appropriate credibility model alongside other factors that influence premium estimation be considered to enhance the accuracy of premium estimates. Moreover, embracing heterogeneity over homogeneity is advised to better reflect individual risk profiles. The research underscores the importance of effective premium determination in insurance firms, as premiums constitute their primary revenue. Stakeholders, including insurers and regulators, are encouraged to integrate this approach and other relevant factors to enhance pricing accuracy and overall sector practices.

SAIRIgRg: A rumor-debunking propagation model considering credibility factor in large-scale rumor spreading

In this study, we collected and processed Weibo posts from official debunking accounts and found that user-following relationships can influence the dynamics of message propagation. Building upon the Susceptible, Aware, Infected, Recovered (SAIR) model with memory decay and user reinforcement, we develop the SAIRIgRg model to address the practical scenario of government debunking in the context of large-scale rumor spreading, considering the credibility factor. Through simulations on a real-world Twitter-directed network dataset, where different nodes with varying in-degree and out-degree sizes were chosen as debunking nodes, we analyzed the spread of rumors and debunking information. We discovered that there is little correlation between the initial in-degree and out-degree sizes of nodes and the effectiveness of debunking dissemination. Nodes with smaller average path lengths may not effectively suppress rumors through debunking efforts. Conversely, when debunking is conducted on nodes with larger average path lengths, the higher credibility of debunking messages leads to stronger suppression of rumors and shorter lifespans for the rumors. Additionally, this study conducted a comparison between early and late official debunking. It was discovered that when the spreading of rumors reaches a certain size and intensity, even though early debunking may not influence the lifespan of the rumors, it can greatly reduce the number of users affected by the rumors.

Multidimensional credibility: A new approach based on joint distribution function

Abstract In the traditional multidimensional credibility models developed by Jewell ((1973) Operations Research Center, pp. 73–77.), the estimation of the hypothetical mean vector involves complex matrix manipulations, which can be challenging to implement in practice. Additionally, the estimation of hyperparameters becomes even more difficult in high-dimensional risk variable scenarios. To address these issues, this paper proposes a new multidimensional credibility model based on the conditional joint distribution function for predicting future premiums. First, we develop an estimator of the joint distribution function of a vector of claims using linear combinations of indicator functions based on past observations. By minimizing the integral of the expected quadratic distance function between the proposed estimator and the true joint distribution function, we obtain the optimal linear Bayesian estimator of the joint distribution function. Using the plug-in method, we obtain an explicit formula for the multidimensional credibility estimator of the hypothetical mean vector. In contrast to the traditional multidimensional credibility approach, our newly proposed estimator does not involve a matrix as the credibility factor, but rather a scalar. This scalar is composed of both population information and sample information, and it still maintains the essential property of increasingness with respect to the sample size. Furthermore, the new estimator based on the joint distribution function can be naturally extended and applied to estimate the process covariance matrix and risk premiums under various premium principles. We further illustrate the performance of the new estimator by comparing it with the traditional multidimensional credibility model using bivariate exponential-gamma and multivariate normal distributions. Finally, we present two real examples to demonstrate the findings of our study.

The experience of shared decision-making for people with asthma: A systematic review and metasynthesis of qualitative studies.

To identify, describe and synthesise the views and experiences of adults living with asthma regarding shared decision-making (SDM) in the existing qualitative literature METHODS: We conducted a comprehensive search of 10 databases (list databases) from inception until September 2023. Screening was performed according to inclusion criteria. Tools from the Joanna Briggs lnstitute were utilised for the purposes of data extraction and synthesis in this study. The data extraction process in this study employed the Capability, Opportunity and Motivation Model of Behaviour (COM-B model) as a framework, and a pragmatic meta-aggregative approach was employed to synthesise the collected results. Nineteen studies were included in the metasynthesis. Three synthesised themes were identified: the capability of people living with asthma, the opportunities of people living with asthma in SDM, and the motivation of the people living with asthma in SDM. We have identified specific factors influencing people living with asthma engaging in SDM. The findings of this study can serve as a basis for the implementation of SDM in people living with asthma and provide insights for the development of their SDM training programs. The ConQual score for the synthesised findings was rated as low. To enhance confidence, future studies should address dependability and credibility factors. This review contemplates the implementation of SDM from the perspective of people living with asthma, with the aim of providing patient-centred services for them. The results of this review can benefit the implementation of SDM and facilitate information sharing. It offers guidance for SDM skills training among adults living with asthma, fosters a better doctor-patient relationship and facilitates consensus in treatment decisions, thereby enabling personalised and tailored medical care. Three nursing graduate students participated in the data extraction and integration process, with two students having extensive clinical experience that provided valuable insights for the integration.

Role of Parasocial Interaction and Credibility in Beauty Influencer to Improve Purchase Intention

Beauty brand owners are trying to increase the sales growth rate, which has been unstable due to the COVID-19 pandemic. This study explores the intention to purchase beauty products through the role of beauty influencers by examining parasocial interaction and credibility factors. Eight hypotheses were tested and analyzed using a structural equation model. The study showed that parasocial interaction and credibility positively impact purchase intention. Meanwhile, only social attractiveness influences parasocial interaction, while physical and social attractiveness affects credibility.

Influence of Psychological Capital on Innovation Capacity: An Empirical Study on Banking Institutions

The capacity for innovation is a key component required for companies to generate added value and to expand into new markets. In this regard, it is important to find factors that improve the capacity for innovation. One such credible factor is psychological capital. This article aims to examine the influence of psychological capital on innovation capacity. An empirical study, based on data collected from 520 employees of banking institutions in Peru, was carried out to this end. Our results revealed the positive and significant influence of psychological capital on innovation capacity. Based on dimensions of psychological capital, it was found that self-efficacy and optimism positively influenced the capacity for radical innovation. Likewise, optimism and hope were found to positively influence the capacity for incremental innovation, but resilience had no positive influence on either radical innovation or incremental innovation. This work provides business leaders with a deeper understanding of psychological factors that are deemed necessary to promote and improve innovation capacity in companies.

Robust pose graph optimization against outliers using consistency credibility factor

Robust pose graph optimization against outliers using consistency credibility factor

Modeling and simulation credibility assessments of whole-body finite element computational models for use in NASA extravehicular activity applications

Computational finite element (FE) models are used in suited astronaut injury risk assessments; however, these models’ verification, validation, and credibility (VV&C) procedures for simulating injuries in altered gravity environments are limited. Our study conducts VV&C assessments of THUMS and Elemance whole-body FE models for predicting suited astronaut injury biomechanics using eight credibility factors, as per NASA-STD-7009A. Credibility factor ordinal scores are assigned by reviewing existing documentation describing VV&C practices, and credibility sufficiency thresholds are assigned based on input from subject matter experts. Our results show the FE models are credible for suited astronaut injury investigation in specific ranges of kinematic and kinetic conditions correlating to highway and contact sports events. Nevertheless, these models are deficient when applied outside these ranges. Several credibility elevation strategies are prescribed to improve models’ credibility for the NASA-centric application domain.

A Study on Mindfulness in Sustainable and Virtuous Management during Work from Home

Mindfulness is the founding capacity for a person to take up any activity, including employment. Mindfulness optimizes the productivity. Healthy mind relieves the stress and support qualitative thinking. Fresh mind supports novelty in thinking and as well in execution of thoughts. Modern work culture has been struggling for increasing the percentage of mindfulness through various activities like yoga, gym, paid vacation etc. COVID-19 pandemic has created a new work culture in the name of work from home. During the adaptation to new work culture, they were facing some challenges. While overcoming these challenges and settle themselves, they found that work from home is facilitating mindfulness. Accordingly, the demand is growing for hybrid work culture. This empirical analysis shows the Adaptability, Accessibility, Admissibility, Feasibility, Flexibility and Interoperability as the beneficial factors for the employees and organizations. There is a significant impact on mindfulness through environmental factors, credibility factors, work from home, sustainable factors, whereas organizational factors are insignificant. Mindfulness has been enjoyed by the employees during work from home life in spite of the challenges. The difficulties faced by the employees during work from office, have been transformed into advantages towards mindfulness. Work from home has created certain challenges like work-life balance, extended working hours etc. but a scientific approach may resolve the concerned challenges. Work from home with mindfulness is facilitating the employees to overcome the challenges by adopting new technologies and strategies.

Screening of accident scenarios of hydrogen refueling stations based on HyRAM+ and Latin hypercube sampling

Due to the boom in hydrogen energy, risk assessment for hydrogen refueling station (HRS), which is as an infrastructure to supply hydrogen energy, is increasingly important. It is also crucial to screen out accident scenarios with low probabilities and low harms. This study theoretically focuses on an accident scenarios screening method for HRS based on Hydrogen Plus Other Alternative Fuels Risk Assessment Models (HyRAM+) and Latin hypercube sampling (LHS). According to the unit division of process flow in HRS, accident scenarios were preliminarily screened by accident consequence frequencies and maximum leakages. By comparing credible factor C and Potential Loss of Life (PLL), accident scenarios were screened secondly to obtain maximum credible accident scenario (MAS). The uncertainties of hydrogen leak, leak isolation, ignition possibilities, and the occupant positions were considered using LHS method for accident consequence frequencies and PLL. The assessment results for one HRS indicate that consequence frequencies of jet fire and explosion may be underestimated by HyRAM+. Moreover, MASs of jet fire and explosion were determined by complete rupture of the pipeline of the hydrogen compressor unit and explosion has a more significant impact on property loss than jet fire.

Optimal decisions for selling on an online group buying platform in a competitive fuzzy game environment

Online group buying platforms (OGBPs) as a new form of e-commerce, offer a new channel for vendors to provide discounts on assorted services through promotion, and attract new customers with the opportunity to experience their services. This paper is conducted based on genuine issues observed in OGBPs where a vendor decides to advertise its service by offering a discount coupon on an OGBP. Accordingly, we propose a fuzzy, dual-channel supply chain, with one OGBP and one vendor who sells her/his service through both offline and online channels. Considering the cognitive uncertainty of parameters in a supply chain, all parameters of the problem are specified as fuzzy variables based on experts’ opinions. This paper develops a demand function of online customers depending on online and offline prices, sales period on the OGBP and vendor's credibility. The vendor's credibility is also affected by service level and advertisements. Furthermore, in the competitive OGB market, two game structures, i.e., a centralized model and a decentralized model called as OGBP-leader Stackelberg, are considered under different refunding and revenue sharing scenarios of unredeemed coupons. By comparing these scenarios, the purpose of this paper is to examine the optimal approach for OGBP’s pricing strategy and vendor’s decisions. Expected value models are developed to evaluate how members decide commission price, online price, service quality, and sales period of a service in each scenario. According to the results, the vendor or OGBP that provide a full refund to the customers maximizes the expected profits compared to No-refund policy; sharing the entire revenue from the coupons sales with the vendor increases the commission price. This increases the online price and reduces the quality, sales period and expected profits; the vendor's generosity, meaning providing a refund to customers and earning revenue from redeemed coupons, is in favor of both the vendor and OGBP; and we investigate the impact of quality and credibility factors under a fuzzy environment on optimal profits.

Determinant Analysis of Muslim Communities Consuming Products Halal Labeled in Bangkalan Regency

Products labeled halal are products that have been declared halal according to Islamic law and stipulated by the Ministry of Religion through the Halal Product Assurance Agency (BPJPH) based on the results of an inspection by LPPOM MUI of the product in question, with this product labeled Halal it can meet market demands (consumers). ) universally. So if these demands can be met, economically, Indonesian business people will be able to become hosts in terms of the products being marketed. Not only that, having products labeled halal can protect the faith of consumers, especially those who are Muslim. This means that with labeling, Muslim consumers will no longer hesitate to consume something they need.Researchers used a Quantitative approach to conduct this research. This study aims to find out what factors influence Muslim communities to consume products labeled halal in Bangkalan Regency. There are several factors that can influence Muslim consumers to consume the halal label, such as religious factors, psychological factors, family factors, role and status factors, social factors, and cultural factors. The results of this research later we can find out what factors are more prominent among several existing factors that make the Muslim community in Bangkalan Regency consume products with a halal label.The results of this study from the ten initial factor variables used in this study, after analysis using factor analysis, three new factors were formed, namely: factor 1 is called the credibility factor, with the 3 members being religion, role and status, and social culture. Factor 2 is named as the knowledge factor, with the 5 members being Psychological, Family, Needs, Recommendations, Knowledge. Factor 3 is called a lifestyle factor, with the 2 members being health and lifestyle

Determinant Analysis of Muslim Communities Consuming Products Halal Labeled in Bangkalan Regency

Products labeled halal are products that have been declared halal according to Islamic law and stipulated by the Ministry of Religion through the Halal Product Assurance Agency (BPJPH) based on the results of an inspection by LPPOM MUI of the product in question, with this product labeled Halal it can meet market demands (consumers). ) universally. So if these demands can be met, economically, Indonesian business people will be able to become hosts in terms of the products being marketed. Not only that, having products labeled halal can protect the faith of consumers, especially those who are Muslim. This means that with labeling, Muslim consumers will no longer hesitate to consume something they need.Researchers used a Quantitative approach to conduct this research. This study aims to find out what factors influence Muslim communities to consume products labeled halal in Bangkalan Regency. There are several factors that can influence Muslim consumers to consume the halal label, such as religious factors, psychological factors, family factors, role and status factors, social factors, and cultural factors. The results of this research later we can find out what factors are more prominent among several existing factors that make the Muslim community in Bangkalan Regency consume products with a halal label.The results of this study from the ten initial factor variables used in this study, after analysis using factor analysis, three new factors were formed, namely: factor 1 is called the credibility factor, with the 3 members being religion, role and status, and social culture. Factor 2 is named as the knowledge factor, with the 5 members being Psychological, Family, Needs, Recommendations, Knowledge. Factor 3 is called a lifestyle factor, with the 2 members being health and lifestyle

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.

Central Bank Independence: The Case of North African Central Banks

Abstract The independence of Central Banks is still considered to be a credibility factor in ensuring price stability. Thus, many central banks in transition countries have undergone a change in their statutes in order to achieve greater independence from governments. In this vein, within a decade, North African Central Banks have put in place a new institutional framework for their monetary policy. In this article, we will attempt to assess and measure the legal (de jure) and real (de facto) independence of these Central Banks (Morocco, Algeria, Libya, Tunisia, Egypt).

Accident scenarios screening for integrated energy supply stations

The number of hydrogen refuelling stations worldwide has increased to over 700 due to the rapid development of green hydrogen energy. The risk assessment of hydrogen refuelling stations is indispensable to prevent accidents, and its foundation is accident scenarios screening. Although the integrated energy supply station containing fuels such as hydrogen, compressed natural gas (CNG), methanol eliminates the need for building hydrogen refuelling stations separately, the risk assessment for these complex systems has not been comprehensively studied. This paper proposes a scenario screening approach for identifying potential hazards in multi-fuel integrated energy supply stations. The risk of the processing unit was evaluated, and the leakage scenarios were pre-screened to identify credible leakage scenarios that adhere to the principle of maximum credibility by considering the frequency of occurrence and severity of consequences in two parts. Based upon acquired credible leakage scenarios, secondary screening of possible accident consequences was conducted by calculating the value of the credible factor to obtain the final maximum credible accident scenarios (MAS). Credible factors are derived from the accident probability, consequence severity, population density and asset density. By comparing the values of the credible factors, the accident scenarios with a low probability or low severity were eliminated, and the accident scenarios with the highest credible factors of each unit were retained as the MAS that require further consequence simulation analysis. The results offer a crucial foundation for the consequences and risk assessment of integrated energy supply stations.

Towards Fake News Detection: A Multivocal Literature Review of Credibility Factors in Online News Stories and Analysis Using Analytical Hierarchical Process

Information and communication technologies have grown globally in the past two decades, expanding the reach of news networks. However, the credibility of the information is now in question. Credibility refers to a person’s belief in the truth of a subject, and online readers consider various factors to determine whether a source is trustworthy. Credibility significantly impacts public behaviour, and less credible news spreads faster due to people’s interest in emotions like fear and disgust. This can have negative consequences for individuals and economies. To determine the credibility factors in digital news stories, a Multivocal Literature Review (MLR) was conducted to identify relevant studies in both white and grey literature. A total of 161 primary studies were identified from published (white) literature and 61 were identified from unpublished (grey) literature. As a result, 14 credibility factors were identified, including “number of views”, “reporter reputations”, “source information”, and “impartiality”. These factors were then analysed using statistical tests and the Analytic Hierarchy Process (AHP) for decision-making to determine their criticality and importance in different domains.