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This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management processes creates difficulties in both the complexity of the analysis and in performing risk assessments that are based on the manual (human analyst) assessment methods. Thus, analysts require methods that can be automated and that can incorporate on-going operational data on a regular basis.

The approach taken to address the identification of supply chain risk within an operational setting is based on aspects of multiobjective decision analysis (MODA). The approach constructs a risk and importance index for supply chain elements based on operational data. These indices are commensurate in value, leading to interpretable measures for decision-making.

Risk and importance indices were developed for the analysis of items within an example supply chain. Using the data on items, individual MODA models were formed and demonstrated using a prototype tool.

To better prepare risk mitigation strategies, analysts require the ability to identify potential sources of risk, especially in times of disruption such as natural disasters.

This study aims to examine how the initial ambiguity of COVID-19 contributed to tourists' intentions for visiting a once-viral outbreak site in the future.

The present study (N = 248) used partial least-squares structural equation modeling (PLS-SEM) to examine whether perceptions of ambiguity and mismanagement of COVID-19 are indirectly related to intentions to travel to Wuhan in a post-pandemic world through perceptions of risk and tourism value. Further, whether the model effects differed as a function of individual safety orientation was examined.

Perceptions of COVID-19 risk and tourism value serially mediated the effects of perceived COVID-19 ambiguity on post-pandemic travel intentions. Safety orientation did not moderate any paths. Perceived risk was a negative direct correlate of post-pandemic travel intentions.

The current study's strength is rooted in its specific targeting of post-pandemic travel intentions to Wuhan—the first city to experience a widescale outbreak of COVID-19 and subsequent international stigma—compared to general travel inclinations.

The purpose of this study is to investigate the impact of terrorist attacks on the volatility and returns of the stock market in Tunisia.

The employed sample comprises 1250 trading day from the Tunisian stock index (Tunindex) and stock closing prices of 64 firms listed on the Tunisian stock market (TSM) from January 2011 to October 2015. The research opts for the general autoregressive conditional heteroscedasticity (GARCH) and exponential generalized conditional heteroscedasticity (EGARCH) models framework in addition to the event study method to further assess the effect of terrorism on the Tunisian equity market.

The baseline results document a substantive impact of terrorism on the returns and volatility of the TSM index. In more details, the findings of the event study method show negative significant effects on mean abnormal returns with different magnitudes over the events dates. The outcomes propose that terrorism profoundly altered the behavior of the stock market and must receive sufficient attention in order to protect the financial market in Tunisia.

Very few evidence is found on the financial effects of terrorism over transition to democracy cases. This paper determines the salient reaction of the stock market to terrorism during democratic transition. The findings of this study shall have relevant implications for stock market participants and policymakers.

In this study the authors aim to comprehensively investigate the determinants of voting behavior in Turkey, with a specific focus on the dynamics of the center-periphery debate. Mainly, the authors focus on regional voting patterns during the period that is dominated by the Justice and Development Party (JDP/AKP) in the elections. The authors apply the random effects generalized least squares (GLS) methodology, and analyze electoral data covering four pivotal parliamentary elections (2007, 2011, 2015 and 2018) across all 81 provinces (NUTS III regions). The authors individually examine voting dynamics of the four major parties in parliament: the JDP/AKP, the Republican People's Party (RPP/CHP), the Nationalist Movement Party (NMP/MHP) and the Peoples' Democratic Party (PDP/HDP). The authors contribute to a comprehensive understanding of how socioeconomic cleavages, economic performance, party alignment and social dynamics shape voter preferences in the Turkish context, thereby addressing gaps in the existing literature.

This research employs an ecological study of Turkish NUTS III sub-regions, covering national elections from 2007 to 2018. The authors utilize the random effects GLS method to account for heteroscedasticity and time effects. The inclusion of the June and November 2015 elections enables a comprehensive analysis of the evolving dynamics in Turkish voting behavior. The results remain robust when applying pooled OLS and fixed effect OLS techniques for control.

The study's findings reveal that economic performance, specifically economic growth, plays a pivotal role in the sustained dominance of the JDP/AKP party. Voters closely associate JDP preference with economic growth, resulting in higher voting shares during periods of economic prosperity. Along with economic growth; share of agriculture in regions' GDP, female illiteracy rate, old population rate, net domestic migration, terrorism and party alignment are also influential factors in the Turkish case. Furthermore, differences among sociocultural groups, and East–West dichotomy seem to be important factors that reveal the impact of social cleavages to understand electoral choice in Turkey.

This study contributes to the existing literature by offering a comprehensive multidimensional analysis of electoral behavior in Turkey, focusing on the JDP/AKP dominance period. The main contribution of this study is its multidimensional perspective on the power bases of all main parties, considering key voter choice theories (cleavages, party alignment and retrospective economic performance voting) that have not been systematically analyzed in prior research. The main research question of this study is to examine which factors affect voting behavior in Turkey and how the dynamics of center-periphery or eastern-western region voting behavior under the JDP hegemony can be explained. The contribution of this study consists not only in its empirical testing of panel data approaches but also in its comprehensive analysis of four major political parties. Building upon existing studies in the literature, this research seeks to extend the understanding of voting dynamics for the four main parties in the parliament — JDP/AKP, RPP/CHP, NMP/MHP and PPDP/HDP — by delving into their dynamics individually, thereby expanding the scope of previous studies. This study aims to make a contribution by not only empirically testing panel data approaches but also conducting a comprehensive analysis of four major political parties. Furthermore, the separate inclusion of the 2015 elections and utilization of a panel data approach enrich the analysis by capturing the evolving dynamics of Turkish voting behavior. The study underscores the significance of socioeconomic factors, economic performance and social cleavages for voters' choices within the context of a dominant party rule.

The purpose of this study is to cover the change that happened in the American foreign policy toward Iran by changing the American leadership from Obama to Trump. In addition to its coverage for the Iranian foreign policy toward the Arab region during the presidency period of Obama in the USA and also during the presidency period of Trump, to discover whether a change has happened in the Iranian foreign policy toward the Arab region is a result of the change in the American foreign policy or not. This can be discovered by concentrating on Yemen, Syria and Iraq, taking into consideration the Iranian and American national interests in the Arab region, as well as the regional role of Iran and its intervention in the Arab region.

This study was based on the analytical method of the foreign policy that is based on analyzing facts and events, as well as analyzing the roles and interests within the framework of the states’ foreign policy. This method was used in the study for the purpose of analyzing the impact of the change in the American leadership from Obama to Trump on the US foreign policy toward Iran in the light of the American interest; in addition to the Iranian foreign policy toward the Arab region (Yemen, Syria and Iraq) in the presidency period of both Obama and Trump in light of the regional role of Iran and its passion to achieve its national interest.

The study concluded that the change in the American foreign policy toward Iran is a result of the change of the American leadership from Obama to Trump by the American interest requirements in accordance to the respective of both of them. The change in the American policy led to a change in the trends of the Iranian foreign policy toward the Arab region in the term of the regional Iranian role. Under the American and Iranian convergence in the period of Obama, the Iranian role in the Arab region was limited to what could achieve its national interest and what did not threaten the American interest, especially after Iran had guaranteed that the USA is by its side. In the framework of the American and Iranian confrontation under Trump’s current presidency, the Iranian role has expanded in the Arab region, where Iran has intensified its intervention in Yemen, Syria and Iraq politically and militarily. Iran became more threatening to the American interest, as it became a means of pressure to the USA under Trump’s ruling in the purpose of changing its position toward it.

The importance of the study stems from the fact that it is seeking to analyze the change of the American foreign policy toward Iran within the period of two different presidential years of Obama and Trump, whereas, their trends were different in dealing with Iran between rapprochement and hostility toward it, on the basis of the American interest. In addition to testing whether this change in the American foreign policy toward Iran has been accompanied by a change in the Iranian foreign policy toward the Arab region.

The current study investigates perceptions of street harassment from a linguistic perspective. With regard to the theory of speech acts, some may deem street remarks as compliments instead of catcalls. There is a lack of linguistic research regarding the issue conducted with a Bruneian demographic. This study recognises the difference in the use of language by men and women and aims to find whether there is a difference in their perceptions of street remarks.

A method of triangulation between questionnaire surveys and focus group interviews was carried out to actualise these aims. Thirty-two female and thirty-two male respondents from the survey were used to conclude quantitative findings, whereas three male and three female participants were recruited for the focus group interview. Data were analysed through a t-test and discourse analysis consecutively.

Quantitative data (p = 0.398) reveal that both men and women perceive street remarks almost equally as a form of street harassment. However, qualitative data reveal that male language and behaviour portray a more positive and tolerant attitude.

This study provides evidence of the difference in perceptions between men and women towards street harassment.

This study explores a relatively unexplored area, that is investigating street remarks in a non-Western context, where the demographic could have different perceptions towards street remarks.

This study aims to highlight the dimensions of the rivalry over the regional role between two regional powers in the Middle East, and the impact of local, regional and international pressures of the Syrian crisis on the role performance of the competing forces.

The study is based on using “the role approach” as an analytical frame to benefit by the application of the theory of role. This approach allows the possibility of linking various analytical levels, both in clarifying the relationship between internal and external factors and showing the interaction between elements of perception, abilities and behavior.

The international pressures shall remain governing the frame of competition among the roles of the regional powers, through determining the course of competition and its direct impact on its results.

This study examines the phenomenon of regional rivalry between two distinct and competing regional powers, in a turbulent environment in the wake of the Arab Spring crises, which created opportunities and challenges for regional powers, especially in Syria, where it intersected with the interests and policies of major and regional powers.

Social networks (SNs) have recently evolved from a means of connecting people to becoming a tool for social engineering, radicalization, dissemination of propaganda and recruitment of terrorists. It is no secret that the majority of the Islamic State in Iraq and Syria (ISIS) members are Arabic speakers, and even the non-Arabs adopt Arabic nicknames. However, the majority of the literature researching the subject deals with non-Arabic languages. Moreover, the features involved in identifying radical Islamic content are shallow and the search or classification terms are common in daily chatter among people of the region. The authors aim at distinguishing normal conversation, influenced by the role religion plays in daily life, from terror-related content.

This article presents the authors' experience and the results of collecting, analyzing and classifying Twitter data from affiliated members of ISIS, as well as sympathizers. The authors used artificial intelligence (AI) and machine learning classification algorithms to categorize the tweets, as terror-related, generic religious, and unrelated.

The authors report the classification accuracy of the K-nearest neighbor (KNN), Bernoulli Naive Bayes (BNN) and support vector machine (SVM) [one-against-all (OAA) and all-against-all (AAA)] algorithms. The authors achieved a high classification F1 score of 83\%. The work in this paper will hopefully aid more accurate classification of radical content.

In this paper, the authors have collected and analyzed thousands of tweets advocating and promoting ISIS. The authors have identified many common markers and keywords characteristic of ISIS rhetoric. Moreover, the authors have applied text processing and AI machine learning techniques to classify the tweets into one of three categories: terror-related, non-terror political chatter and news and unrelated data-polluting tweets.

The COVID-19 pandemic, which appeared in China in late 2019, has affected the world psychologically, socially and economically in 2020. Tourism is one of the areas where the effects of COVID-19 have been felt most clearly. The study aims to determine the effect of negative problem orientation (NPO) and perceived risk related to the COVID-19 pandemic on travel and destination visit intention.

This study employed a convenience and probabilistic sampling method for collecting data from 531 respondents using an online questionnaire. Partial least square structural equation modeling (PLS-SEM) was used for testing research model.

According to the findings, NPO and perceived risk related to the pandemic were found to have direct and indirect effects on the travel behavior of tourists. The results of this research provide theoretical and practical implications for hospitality and travel businesses on topics such as the psychological effects of the pandemic and the travel behaviors of tourists.

It is estimated that the pandemic will also affect tourist behavior due to its effects on human psychology. For this reason, a study conducted in the context of tourist behavior theories is expected to contribute to the literature, managers and future of the tourism.

This study aims to investigate city branding as a post-pandemic COVID-19 outcome factor on brand satisfaction, brand experience, perceived risk and revisit intention. In addition, this research contributes to the discussion of post-COVID-19 city branding that needs to be considered in the development of future tourism marketing.

A quantitative approach was used with PLS-SEM statistical analysis and a 263-tourist sample. The study was conducted on tourists from Malang Regency in Indonesia by distributing questionnaires modified from previous studies in a similar context.

The results of this study found that there were significant influences of city brand personality on brand experience, brand satisfaction, brand experience on perceived risk, brand satisfaction on revisit intention and perceived risk on revisit intention. This study also presents the mediating role.

The study was only conducted on a small regency in Indonesia, and therefore the results cannot be generalized for other cities over the world.

The proposed study model suggests that stakeholders must seek to socialize services to potential tourists, so that tourists can understand the description of tourism activities that can be enjoyed during the COVID-19 pandemic and the way they travel in the future.

Understanding the determinant factors of city branding post-COVID-19 was valuable for developing marketing strategies to cope with intense competition among the city.

This study emphasizes the determinants of COVID-19 perceived risk and revisit intentions as explained in the tourism marketing literature by considering the role of brand satisfaction, brand experience and city brand personality which significantly contribute to build the city competitiveness. Therefore, various creative strategies should be implemented to promote the city as well as escalate tourist visits without ignoring the pandemic’s risks.