Local and international scientific collaborations are crucial for innovation and sustainable development. However, there is a gap in understanding how these collaborations affect national innovation ecosystems. This study examines the dynamics of Triple Helix Relations, focusing on collaborations within Thailand and its international partnerships with the United States and China from 2006 to 2022. I use Shannon's mutual information, enhanced by Loet Leydesdorff, to analyze the synergy among various local sectors and conduct interviews with eighteen researchers and policymakers, utilizing Latour and Woolgar's cycle of credibility. The study delves deeply into the complexities of collaboration dynamics and motivations. The analysis reveals nuanced patterns of collaboration, spanning both within Thailand and across international boundaries. I distinguish collaborations based on the nationality of partners (Thai-China vs. Thai-U.S.) and subject areas (engineering, medicine, agricultural and biological sciences). The findings show significant variation in collaboration patterns depending on these factors. Universities are the main contributors to scientific publications, while the Thai government is more active in medicine and collaborations with the United States. Industry is more engaged in agricultural, biological sciences, and engineering, especially with China. One recurring theme that emerges from our interviews is the importance of relationship networks as significant assets in collaborative endeavors. Different credibility resources and networks yield varying levels of negotiation power and influence dynamics in different collaborative settings. Understanding these dynamics could assist smaller countries like Thailand in devising strategies to maximize the benefits of international collaborations. Despite the opportunities globalization presents, I observe a decline in local collaborative synergy among Thailand's three sectors, university, government, and industry. Local collaborations are mostly bilateral, indicating a need for greater involvement from the third sector to foster sustainable growth and development. This study demonstrates the use of STS concepts and various analytical tools, such as co-authored publications and Shannon's mutual information, to showcase collaboration trends and synergy among local sectors in Thailand. The study also includes case studies from diverse countries to consider different conditions affecting collaboration dynamics. Emphasizing recent data, the study aims to capture the evolving landscape of international and local scientific collaborations comprehensively. / Doctor of Philosophy / Scientific collaborations, both local and international, are vital for driving innovation and sustainability worldwide. However, there remains a significant gap in our understanding of how these collaborations impact national innovation ecosystems. This study examines the connections in research collaboration among local sectors within Thailand and the international collaborations involving Thailand, the United States, and China from 2006 to 2022. This study uses tools such as co-authored citations, Shannon's mutual information, and interviews with several researchers and policymakers to gain an understanding of research collaboration dynamics and motivations. I found that collaboration varies depending on the research partners involved and the areas of study. For example, universities publish most scientific papers in general, while the government is more active in medicine and with the United States. On the other hand, industry is more active in agriculture, biology, and engineering, especially when working with China. The interviews also showed that having connections with other researchers is crucial for successful collaborations. Different networks and credibility resources give different levels of power and influence in these partnerships. Understanding this can help smaller countries like Thailand make the most of their international collaborations. Despite the benefits of working globally, it is noticed that local collaborations in Thailand are decreasing, mainly sticking to bilateral partnerships between sectors. This shows the need for more involvement from different sectors to promote sustainable economic growth. The study also shows how using different tools helps us understand collaboration trends better. By looking at real-life examples from different countries, this study hope to provide a clear picture of how scientific collaborations are changing over time.

Yes / Expert knowledge elicitation lies at the core of judgmental forecasting—a domain that relies fully on the power of such knowledge and its integration into forecasting. Using experts in a demand forecasting framework, this work aims to compare the accuracy improvements and forecasting performances of three judgmental integration methods. To do this, a field study was conducted with 31 experts from four companies. The methods compared were the judgmental adjustment, the 50–50 combination, and the divide-and-conquer. Forecaster expertise, the credibility of system forecasts and the need to rectify system forecasts were also assessed, and mechanisms for performing this assessment were considered. When (a) a forecaster’s relative expertise was high, (b) the relative credibility of the system forecasts was low, and (c) the system forecasts had a strong need of correction, judgmental adjustment improved the accuracy relative to both the other integration methods and the system forecasts. Experts with higher levels of expertise showed higher adjustment frequencies. Our results suggest that judgmental adjustment promises to be valuable in the long term if adequate conditions of forecaster expertise and the credibility of system forecasts are met.

Non-professional investors often rely on information obtained from social media to make investment decisions. Extant literature has not examined the most effective strategy for the target company to counter the rumors so that investors will be more willing to continue investing in the target firm. Drawing on source credibility theory and the moral intensity model, I propose that the most effective strategy would vary given different agents who are selected to counter the rumor. After conducting a 2 x 3 (counter-rumor source x counter-rumor strategy) experiment with 272 non-professional investors recruited from Amazon Mechanical Turk, my study shows that when an internal agent (e.g., the CEO) acts as a counter-rumor source, shareholders are more willing to invest in the company when the internal agent utilizes a denial strategy rather than a reassociation or a questioning strategy. In contrast, when an external agent (e.g., a famous food blogger) serves as the counter-rumor source, the external agent can also use a questioning strategy in addition to a denial strategy to motivate shareholders to be more willing to invest in the company; however, the external agent still needs to avoid from engaging a reassociation strategy. Moderated serial-mediation analysis shows that the persuasiveness of the counter-rumor information and investors' perceived rumor intensity serially mediate the effect of counter-rumor source on investors' willingness to invest, and this effect is conditioned on the different strategy used to counter the rumor. Overall, the main effect of counter-rumor source suggests that external agents are perceived as more persuasive, which leads investors to perceive less rumor intensity, making them more willing to invest in the target company. The results of my paper can thus inform companies' social media policy.

The purpose of this study is to examine the impact of management altering its tone in communications on participants' perceptions of management credibility. Management's tone in communicating with participants was manipulated using communications from management under two treatment conditions. In period one of the study management's tone was manipulated within the management statement on internal controls as required by the Public Company Accounting Oversight Board's (PCAOB) Auditing Standards No. 2. In period one, participants had no knowledge of management's prior forecasting accuracy. Consistent with predicted hypotheses, the findings reveal that management can increase its credibility with participants by communicating its empathy, responsiveness, and understanding. Management's increased credibility was measured using both a validated credibility scale and by examining participants' reliance on management's forecasts. In period two of the study all participants had knowledge of management's forecast failure in period one. The results from period two found that tone could impact the rating of management's credibility when management had previously failed to meet a forecast but that tone had no impact on participant's changes in their earnings per share estimates after management had previously failed to meet a forecast.

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<p>Many industrial organizations invest heavily in modeling and simulation (M&S) to support the design process. The primary business motivation for M&S is as a cheaper and faster alternative for obtaining information towards a better understanding of system behavior or to help with decision making. However, M&S predictions are known to be inexact because models and simulations are mathematical approximations of reality. To ensure that models are applicable for their intended use, organizations must collect evidence that the M&S is credible. Verification, validation, and uncertainty quantification (VVUQ) are the established methods for collecting this evidence. Structured frameworks for building credibility in M&S through VVUQ methods exist in the scientific literature but these frameworks and methods are generally not well developed, nor well implemented in industrial environments. The core motivation of this work is to help make existing VVUQ frameworks more suitable for industry.</p> <p>As part of this objective, this work proposes a new credibility assessment that turns VVUQ results into an intuitive, numerical decision-making metric. This credibility assessment, called the Credibility Index, identifies the important aspects of credibility, extracts the relevant VVUQ results, and converts the results into an overall Credibility Index score (CRED). This CRED score is unique for each specific prediction scenario and serves as an easy-to-digest measure of credibility. The Credibility Index builds upon widely accepted definitions of credibility, well-established VVUQ frameworks, and decision theory.</p> <p>The Credibility Index has been applied to several prediction scenarios for two publicly available benchmark problems and one Rolls-Royce funded subsystem case; all examples relate to the aerodynamic design of turbine-engine compressors. The results from these studies show how the Credibility Index serves as a decision-making metric, supplements traditional M&S outputs, and guides VVUQ efforts. A product feedback study, involving model end-users in industry, compared the Credibility Index to three other established credibility assessments; the study provides evidence that CRED consistently captures all key aspects of information quality when informing end-users on the credibility of model predictions. Due to the industry partnership, this research already has multiple avenues of practical impact, including implementation of the structured VVUQ and credibility framework in an industrial toolkit and workflow. </p>

The aim of thesis is to evaluate the current practice of assessing the credibility of testimony in criminal proceedings and reflect on its current issues. In particular, it is necessary to resolve the question of the extent to the competence of an expert-psychologist in assessing process and the establishment of basic criteria according to which the experts proceed. I have chosen this topic because it's connecting criminal law and psychology which is important for society and a highly discussed in this time. Assessing the credibility is one of usual requests for expert psychologists from investigative, prosecuting and adjudicating bodies and it is also the most common, but often the most difficult part of psychological expertise. The thesis is composed of four chapters. The first chapter deals with the history of assessing the credibility. The second chapter describes the psychological expertise in criminal proceedings in our country and consists of four parts dealing with experts, expertise and evidence and evaluation of evidence in criminal procedure. The third chapter looks at assessing the credibility as a problem of professionals and it contains four parts. The first part defines the basis for assessing the credibility, the second part defines fundamental terms. The third part describes verbal and...

This thesis examines how female consumers’ self-esteem may impact an influencer’s ability to create a purchase through suggesting and testing a developed conceptual model. The Source credibility model, Similarity and Tie-strength were utilized as underlying theoretical frameworks. Five different independent variables were identified; Source- Attractiveness, Trustworthiness, Expertise, Similarity, and Tie-strength, which were evaluated in relation to the dependent variable; Purchase intention. Lastly, Self-esteem was introduced as a moderating variable. The goal with the conceptual model was to gain a deeper understanding of how a consumer’s self-esteem may affect their purchasing behavior, as well as which factors that may influence their purchase intention. A quantitative research method was used, and ten hypotheses were developed from the conceptual model.    To test the hypotheses and answer the research questions, a questionnaire was distributed with the use of snowball sampling. Overall, 1029 Swedish females who followed an influencer on a social media participated in the survey. It was stated in the results and the analysis that all five independent variables had a significant positive relation on the consumer’s purchase intention. However, data shows that a consumer’s self-esteem solely had a relation on two of the five independent variables; Trustworthiness &amp; Tie-strength. Trustworthiness was found to have a negative relation to the purchase intention, while Tie-strength was found to have a positive relation. A content analysis was conducted in order to identify other factors that the participants in the survey felt had a significant impact on why they followed their favorite influencer. The result of the content analysis identified two more factors that may impact the ability of an influencer to create a purchase. These were the Entertainment value and the Core values of the influencer.