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The purpose of this study is to evaluate how Qatar Airways’ sponsorship of FC Barcelona affects Qatar’s sports diplomacy and brand awareness. It focuses on the sponsorship’s demand strategy and takes into account the opinions and attitudes of Spanish nationals toward Qatar and Qatar Airways.

To assess this, a survey of 434 Spanish nationals from 17 different regions from four zones (North, South, Center, and East) in Spain between November 3, 2022 and November 21, 2022 was conducted using a strata sampling method.

We argue that Qatar Airways’ sponsorship of FC Barcelona serves to improve Qatar’s recognition and national reputation in Spain. We also found that there is a need for consistent sponsorship and marketing efforts in sports diplomacy to better fulfill public diplomacy aims. Overall, this paper concludes that Qatar Airways’ sponsorship of FC Barcelona positively contributes to the country’s sports diplomacy despite significant challenges.

The major contribution of this study to the literature is the discussion of the role of sports sponsorships in the recognition of the sponsor, which was assessed through conducting a quantitative analysis of public opinion in the sponsored team’s host country.

Mega construction projects (MCPs), which play an important role in the economy, society and environment of a country, have developed rapidly in recent years. However, due to frequent social conflicts caused by the negative social impact of MCPs, social risk control has become a major challenge. Exploring the relationship between social risk factors and social risk from the perspective of risk evolution and identifying key factors contribute to social risk control; but few studies have paid enough attention to this. Therefore, this study aims to systematically analyze the impact of social risk factors on social risk based on a social risk evolution path.

This study proposed a social risk evolution path for MCPs explaining how social risk occurs and develops with the impact of social risk factors. To further analyze the impact quantitatively, a social risk analysis model combining structural equation model (SEM) with Bayesian network (BN) was developed. SEM was used to verify the relationship in the social risk evolution path. BN was applied to identify key social risk factors and predict the probabilities of social risk, quantitatively. The feasibility of the proposed model was verified by the case of water conservancy projects.

The results show that negative impact on residents’ living standards, public opinion advantage and emergency management ability were key social risk factors through sensitivity analysis. Then, scenario analysis simulated the risk probability results with the impact of different states of these key factors to obtain management strategies.

This study creatively proposes a social risk evolution path describing the dynamic interaction of the social risk and first applies the hybrid SEM–BN method in the social risk analysis for MCPs to explore effective risk control strategies. This study can facilitate the understanding of social risk from the perspective of risk evolution and provide decision-making support for the government coping with social risk in the implementation of MCPs.

The purpose of this study is to explore the role of direct public engagement in shaping the sustainability image of nuclear energy in the UAE and the Arabian Gulf region. The study aims to measure the conflicting viewpoints of stakeholders, particularly the local community, regarding nuclear energy's dependability, cost-effectiveness, safety and environmental friendliness. The study also seeks to assess the effectiveness of direct stakeholder engagement strategies in enhancing public confidence in nuclear energy as a safe and sustainable source of electricity.

This study uses a quantitative-methods research design and used a sample of 318 participants. The SPSS AMOS application was used to conduct a structural equation model analysis. The purpose of this analysis is to examine the relationships among variables that constitute the key constructs of the study. In addition, confirmatory factor analysis was used to assess the reliability of the testing approach. Various fit indices and measurements, such as chi-square ratio, degrees of freedom, GFI, CFI and RMSEA, were used to evaluate the adequacy of the model.

The study finds that the construct “Direct Stakeholder Engagement (DSE)” has a positive effect on the dependent variables “Trust in Nuclear Sustainability (TNS)” and “Perception of Nuclear Energy as Safe (PNE)” with a probability value of (0.003, p < 0.05). Therefore, the hypothesis of the study is deemed acceptable. Hence, it can be concluded that each of the foregoing variables (DSE1, 2, 3, 4 and 5) and (TNS1, 2, 3, 4 and 5) with (PNE1, 2 and 3) have been observed and analysed in this study, and based on this analysis, it is plausible that the public's trust in nuclear sustainability and their acceptance of nuclear energy as a safe source of their nation's electricity can be positively affected by direct stakeholder engagement.

The study's findings have implications for policymakers and managers of nuclear power plants in the UAE and the Arabian Gulf region. The study provides insights into effective stakeholder engagement strategies that can enhance public participation and confidence in nuclear energy. The study's recommendations highlight the importance of incorporating public opinion in policymaking and management practices to address conflicting viewpoints and enhance public trust in nuclear sustainability. The study's findings also contribute to the ongoing discourse on nuclear sustainability and provide insights into the role of direct public engagement in shaping public perception of nuclear energy.

This study's originality lies in its focus on the UAE and the Arabian Gulf region, where nuclear energy is a critical source of electricity. The study contributes to the limited research on stakeholder engagement and public perception of nuclear energy in the region. The study's novel framework of stakeholder engagement, tailored to cultural dimensions, provides insights into effective engagement strategies that can enhance public participation and confidence in nuclear energy. The study's quantitative-methods research design also provides a comprehensive understanding of the conflicting viewpoints of stakeholders, enhancing the understanding of the role of direct public engagement in shaping public perception of nuclear energy.

Measuring and understanding the dynamics of democracy as well as democratic attitudes of people have become a big challenge for every democratic state. The study proposes the investigation of middle-class peoples’ attitudes towards democracy in Pakistan.

The study employs a deductive approach based on cross-sectional data from Pakistan’s middle-class people. The researchers use a survey questionnaire through a convenience sampling technique. Finally, the study utilizes 1854 samples to conclude the findings.

The evidence confirms that trust in public institutions and political engagement positively and significantly impact peoples’ democratic attitudes. In addition, the investigation witnessed the preference for democracy also supports understanding middle-class peoples’ democratic attitudes.

The study would provide an endorsement for politicians of Pakistan to perceive the inclination of middle-class people towards democracy. The study would guide the researchers and policymakers and intellectualize the middle-class peoples’ opinions and attitudes. Moreover the study would support reflecting the public confidence in decision making and ability to deliver. Finally the study findings would contribute to the literature of political science and democracy to understand democratic attitudes mainly focusing on middle-class populations.

This study empirically confirms the Pakistani middle-class peoples’ attitudes towards democracy.

The purpose of this paper is to develop a novel integrated risk assessment method from the system perspective to evaluate the risk of the cross-regional mega construction project (CMCP). Furthermore, this paper aims to confirm the core risk source factors and refine the risk management strategies of CMCPs through a case study.

Based on the analysis of the risk system of CMCPs, the concept model and risk assessment principles of integrated risk assessment were confirmed. The risk source factors and project objectives of the CMCP were identified from a literature review, export interview and case analysis. According to the vulnerability theory, the integrated risk assessment model was developed by involving vulnerabilities, threats, objectives and interaction of those factors synthetically. Then, ZW high-speed railway from China was analyzed to verify the feasibility and effectiveness of the proposed method.

As a result, 12 threat factors and 12 vulnerability factors were identified. Based on the case study, the main external threat comes from T13 (conflicts of interest between local governments) and T23 (harsh natural environment); the most easily exploited internal vulnerabilities were V11 (complexity of technology), V13 (lack of experience in technical application), V21 (inadequate experience) and V23 (lack of interest coordination mechanism). Moreover, the economic objective was most affected.

It is essential to develop an interest coordination mechanism for CMCPs. The harsh natural environment is a critical factor, but it also promotes technological innovation and iteration. Public opinions in different regions are critical for CMCPs, and more emphasis should be placed on public opinion surveys of CMCPs. Moreover, diverse and flexible environmental protection strategies should apply in CMCPs.

This research has the following three contributions. First, based on vulnerability theory, an integrated risk assessment approach of CMCPs is developed, which enriches the risk measurement method system and provides inspiration for future research on risk in the construction industry. Second, the risk sources of CMCPs are identified from the perspective of vulnerability and threat to provide clear guidance for the risk management of CMCPs. Third, the core risk source factors and management strategies confirmed by the case study will be beneficial for various governments in different regions and project managers to optimize the project management scheme, as they are transferable management experiences.

This study evaluates how publicly available archival documents shaped online discussions about allegations that thousands of children were kidnapped during the 1950s in Israel, known as the Yemenite children’s affair. It examines if access to historical records leads to more informed and rational public discourse, especially on social media.

Using content analysis, this study examines Facebook posts from media outlets, politicians, NGOs and public groups between 2016 and 2021 to understand how the Israeli State Archives’ release of over 300,000 documents affected support of the kidnapping.

Despite extensive archival information debunking the kidnapping theory, public opinion and discourse largely continued to support it. This suggests a complex interaction between information availability, preexisting beliefs, echo chambers and group allegiances, suggesting that access to factual data alone may not effectively challenge established beliefs in online public settings.

Since data were collected only from Facebook, our conclusions cannot be generalized to other platforms. The study relies only on publicly accessible data and does not establish causality between exposure to information and shifts in opinion. Our findings show that disclosing archival information does not significantly benefit public political discourse on contentious topics but also point to the advantages of mediating information by politicians, NGOs and journalists.

As a unique case study, this research contributes to understanding the role of historical archives in digital-age public discourse. It highlights their potential and limitations in facilitating informed debate and deliberation, emphasizing the complexity of influencing established beliefs with factual data.

This study aims to assess whether technological incentives inspire communities in the process of digital inclusion. The factors analyzed by the authors assess five dimensions: technology incentives, technology utilization, searching skills, social integration, and capabilities.

Data were collected from 329 respondents in 14 public libraries and analyzed using structural equation modeling to validate the proposed research model and its relationships with the factors the authors analyzed.

The results showed that technological incentives significantly impact on technology utilization, searching skills, social integration, and capabilities to support community digital inclusion in Pakistan.

Technological incentives to the community will lead to the improvement of network technology for things like online taxation, banking transactions, social integration, participation in government, and modern health and education benefits. In addition, technological incentives will also enhance information literacy and digital access, helping people improve cognitive skills and critical thinking and also helping to develop skills.

This research is based on raw data first collected from various people with different opinions from the Khyber Pakhtunkhwa public libraries. This study was conducted to gain a deeper understanding of the overall situation related to the use of technology in Pakistan and the complications involved.

This study examines the public participation in the implementation of the Historic Urban Landscape (HUL), a United Nations Educational, Scientific and Cultural Organization (UNESCO) approach for urban development. HUL has six Critical Steps and four Tools Categories relating to community engagement, knowledge and planning, regulatory system and financial instruments. The HUL public participation component has materialized variably across the adopting cities, challenged by the local implementation capacity. In response, we have singled out two research questions revolving around the participants’ characteristics and participation methods.

This study instrumentalizes case studies as a research methodology and thematic literature as a theoretical context. The HUL projects for Ballarat, Australia and Cuenca, Ecuador have been selected as sources of published information because they exhibit comparative differences in completing community engagement. We have compared the community engagement accounts of the two cities.

The Ballarat and Cuenca HUL project accounts point out to commonalities and variances in responding to the HUL public participation mandate. The findings for the participants’ characteristics involve project setting, participants categories and participants empowerment; the findings for the participation methods involve initial preparation, domestic and international expertise and public conversation.

The results of the study help define public participation practices in HUL project implementations. The results present an opportunity for city officials, HUL project planners and field administrators for making informed decisions particularly in relation to the two public participation domains, the participants’ characteristics and the engagement methods.

The purpose of this paper is to test the impact of selected characteristics of jobseekers on employers’ decisions regarding potential hires (direct and probabilistic signals). The main focus of the study is to test the impact of jobseekers’ participation in selected active labour market programmes on employers’ hiring decisions for three positions: unskilled worker, skilled worker and administrative employee. Other characteristics tested include age, gender, presence of children in the household, state of health, experience of short- and long-term unemployment and indebtedness.

This study analyses data from a representative survey of employers with five or more employees in the Czech Republic. The survey was conducted in December 2020 using stratified random sampling, combining online questionnaires and personal interviews. The study includes 1,040 employers and uses the factorial survey experiment (FSE) design.

The results of the FSE suggest that the perceived positive impact of completing one of the activation programmes depends on the position for which the candidate is being recruited. While for the unskilled job category, the completion of any of the tested schemes (training, subsidised jobs or public works) had a positive effect; for the skilled job category, only the training and subsidised jobs schemes had a positive effect; and for the administrative job category, public works programme even had a negative effect.

A somewhat limiting factor in the context of this study seems to be the definitions of the positions tested (unskilled and skilled workers and administrative staff). The decision-making of the respondents was somewhat restricted by such broadly defined categories. Typically, studies with FSE designs have a focus on a specific sector of the economy, which allows for a better definition of the positions or jobs under test. The relationship between position and the impact of individual characteristics is clearly a matter for further research.

The results of the study confirm that completion of the activation programme, as well as other candidate characteristics, constitute differentiating signals for employers that influence their hiring decisions. At the same time, there is evidence that the training programme and the subsidised jobs programme are effective in terms of increasing participants’ chances of employment.

The demand side should be included in the evaluation of activation policies. The design of the FSE provides an appropriate way to test the impact of activation measures on the decision-making of employers.

Purpose: The main purpose of the study is to understand the factors that facilitate correction behavior among individuals. In this study the authors examine the impact of self-perceived media literacy (SPML) and reflection on participants’ correction behavior.

Methods: Data for the study were collected from Amazon's MTurk using an online survey. Data were collected after a certificate of exemption was received by the Institutional Review Board in a research university in the United States (US) Qualtrics software was used to collect data. The total number of participants was 797.

Findings: The findings show that although both SPML and reflection are positively associated with rumor refutation, higher SPML alone is not enough. Reflective judgment is critical for individuals to take part in this behavior online, such that individuals with higher reflective judgment indicated that they refute rumors online, irrespective of their SPML score.

Originality: The authors tested the relationship of multiple variables with participants correction behavior. Although research shows the importance of social correction, there is not much knowledge about what facilitates actual misinformation correction.