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This study aims to explore the relationships amongst football fans’ travel motivations (FFTMs), their satisfaction (SAT), their perceived destination image (PDI) and their behavioural intentions (BIs). On the other hand, the mediating effects of SAT on the relationships among FFTMs, PDI and BIs are analyzed.

An approach based on a quantitative research method was used, and the data were gathered from Italian and British tourists who visited Istanbul, aiming to attend the Champions League Final match of Manchester City versus Inter Milan.

Based on 277 applicable surveys, Smart-PLS was conducted to test the conceptual model. The results indicated positive and meaningful relationships amongst FFTMs, SAT, PDI and Bis. Moreover, the results also demonstrated that the effect of FFTMs and PDI on BIs is mediated by SAT.

This research makes a contribution to the football tourism literature by first examining the theory of planned behaviour in conjunction with FFTMs, SAT, PDI and BIs. Furthermore, the findings of this study could offer valuable insights to assist tourism marketers in gaining a deeper understanding of FFTMs, BIs, SAT and PDI.

本研究探讨了足球迷的旅行动机、满意度 (SAT)、感知目的地形象 (PDI) 和旅游后行为(BI) 之间的关系。 另一方面, 分析了 SAT 对 FFTMs、PDI 和 BIs 之间关系的中介效应。

采用定量研究方法, 数据收集对象为前往伊斯坦布尔观看曼城对阵国际米兰的欧洲冠军联赛决赛的意大利和英国游客。

基于 277 份调查问卷, 采用Smart-PLS对概念模型进行了检验。 结果表明, 足球迷的旅行动机、满意度、目的地形象感知及旅游后行为之间存在积极且有意义的关系。此外, 结果还表明, FFTMs 和 PDI 对 BIs 的影响是由 SAT 介导的。

这项研究首先将计划行为理论与 FFTMs、SAT、PDI 和 BIs 结合起来进行检验, 为足球旅游文献做出了贡献。

Este estudio explora las relaciones entre las motivaciones de viaje de los aficionados al fútbol (FFTM), su satisfacción (SAT), su imagen percibida del destino (PDI) y sus intenciones de comportamiento (BI). Por otra parte, se analizan los efectos mediadores de la SAT en las relaciones entre las FFTM, la PDI y las BI.

Se adoptó un enfoque de investigación cuantitativa y se recopilaron datos de turistas italianos y británicos que visitaron Estambul con el objetivo de asistir al partido de la final de la Liga de Campeones entre el Manchester City y el Inter de Milán.

Sobre la base de 277 encuestas aplicables, se llevó a cabo un PLS-Smart para probar el modelo conceptual. Los resultados indicaron relaciones positivas y significativas entre los FFTM, el SAT, el PDI y los BI. Además, los resultados también demostraron que el efecto de los FFTM y el PDI sobre las BI está mediado por el SAT.

Esta investigación contribuye a la literatura sobre el turismo futbolístico al examinar por primera vez la Teoría del Comportamiento Planificado en conjunción con los FFTM, el SAT, el PDI y las BI. Además, los resultados de este estudio podrían ofrecer ideas valiosas para ayudar a los profesionales del marketing turístico a comprender mejor los FFTM, los BI, el SAT y el PDI.

Postpandemic efforts to rebuild have steered the global economy toward a more sustainable trajectory. It is imperative to acknowledge the pressing need for further enhancements in the sustainable development of the tourism industry. This study aims to examine the influence of personal factors, including environmental concern, cultural interest, travel lifestyle and involvement, on tourist satisfaction and revisit intention, using the theory of planned behavior (TPB) as its framework.

The data was gathered through surveys conducted in three of Türkiye’s most famous slow travel destinations: Seferihisar, Gökçeada and Akyaka. The analysis was carried out using SPSS and SmartPLS software, with subsequent structural model testing.

This study presents an extended model that incorporates four individual factors, tourist satisfaction, TPB and revisit intention. All hypotheses have been rigorously tested, and the model accounts for 60.4% of the variance in revisit intention. The findings are comprehensively discussed in this article, supported by relevant theoretical frameworks.

Future research avenues could delve into the evolution of slow tourism in both developed and developing countries, assess disparities in revisit intentions between slow tourism and mass tourism destinations and investigate the prospects of sustainable tourism development in the postpandemic era.

The authors use the TPB to examine individual factors, tourist satisfaction and revisit intentions, aiming to build an extended model to gain a deeper understanding of the slow tourist decision-making process.

This paper aims to examine the reaction of energy inflation to geopolitical risks in the European Economic Area between 1990 and 2015.

This study applies the nonparametric time-varying coefficient panel data model with fixed effects. In addition, to further reveal potential tail effects that may not have been captured by conditional mean-based regressions, the method of moments quantile regression was also used.

The findings of this study are as follows: first, as European countries get exposed to geopolitical tensions, it is expected that energy prices will surge. Second, the ability of geopolitical risk to trigger energy inflation in recent times is not as powerful as it used to be. Third, countries with a lower inflation rate, when exposed to geopolitical risks, experience smaller increases in energy inflation compared to countries with a higher inflation rate.

The findings of this study lead us to the conclusion that transitioning from nonrenewable to renewable energy use is one channel through which the sampled countries can battle the energy inflation, which geopolitical risks trigger. A sound macroeconomic policy for inflation control is a complementary channel through which the same goal can be achieved.

Given the increasing level of energy inflation and geopolitical risks in the world today, this study is an attempt to reveal the time-varying characteristics of the relationship between these variables in European countries using a nonparametric time-varying coefficient panel data model and method of moments quantile regression with fixed effects.

This paper aims to investigate the influence of health beliefs and trust by senior adults as associated with the perceived ease of use and perceived usefulness, for the acceptance of smart technology with a focus on smartwatch technology.

Structural equation modeling is used to conceptualize the model using survey data collected from 243 randomly selected senior adults 60+ years of age.

This paper presents that perceived usefulness, perceived ease of use, trust and health belief are direct and indirect predictors of senior adults’ technology acceptance and intention to use smartwatch technology.

The study reveals the moderator effect of social influence on relation between perceived usefulness, perceived ease of use and intention to use. The authors highlight the effect of health belief and trust on perceived usefulness and perceived ease of use and the role of intention to use smartwatch technology.

The authors contribute bridging developers of health technologists and senior adults as end-user perspectives. For marketing of health-care technology products, specifically smartwatch, to seniors, a focus on health beliefs and trust is essential to build, maintain and improve perceived usefulness and perceived ease of use.

The present study contributes empirical evidence to the literature on factors affecting the acceptance of the smartwatch technology by senior adults.

Integrating and advancing social sustainability is foundational to achieving the urban sustainable development goals. Given the rapid transformation of cities in the Mediterranean region, this study sought to assess residents' evaluation of social sustainability in two socio-spatially diverse neighbourhoods of metropolitan Istanbul.

A questionnaire survey, adapted from an empirically well-tested and robust social sustainability framework, was used to collect data from 197 residents from Balat and Rasimpasa neighbourhoods in Metropolitan Istanbul. The study then employed quantitative analytical techniques such as independent sample t-tests and Pearson correlation to analyse the sample data.

In both neighbourhoods, accessibility and participation were ranked the highest and lowest dimensions of social sustainability, respectively. However, the t-test analysis revealed a statistically significant difference between the two neighbourhoods regarding social networking and interaction, safety and security and participation. The differences align with emerging studies on urban social sustainability in the Mediterranean and European cities that when considered from urban spatial contexts, significant differences emerge from a social network and safety perspective.

Our study invites urban planners and policy makers attention to and emphasise on lowly evaluated social sustainability dimensions such as participation in their efforts to promote sustainable urban development at the neighbourhood level. We reason that opening the decision-making process to include diverse voices and experiences of residents through participatory workshops might offer opportunities for context-specific, citizen-led urban planning and design strategies that are socially sustainable.

Previous studies have not fully accounted for how various socio-spatial contexts at the neighbourhood level shape differential evaluation of social sustainability. This paper extends the emerging work on urban social sustainability by situating residents’ evaluation of social sustainability indicators across two unique neighbourhoods with gridded and organic spatial characteristics in Istanbul. This paper is an important addition to ongoing work on how spatial organisation of neighbourhoods can influence experiences of social sustainability from an urban planning and design perspective.

This research aims to reveal the working principles of the decision mechanism that affects the use of neural implant acceptance and to discuss the leading role of digital literacy in this mechanism. In addition, it aimed to examine the theoretical connections of the research model with the conservation of resources (COR) and technology acceptance model (TAM) theories in the discussion.

The authors collected data from 300 individuals in an organization operating in the health sector and analyzed the data in the Smart Partial Least Squares (PLS) 3.3.3. This way, the authors determined the relationships between the variables, the path coefficients and the significance levels.

The study has found that strong digital literacy skills are linked to positive emotions and attitudes. Additionally, maintaining a positive mindset can improve one's understanding of ethics. Ethical attitudes and positive emotions can also increase the likelihood of adopting neural implants. Therefore, it is crucial to consider both technical and ethical concerns and emotions when deciding whether to use neural implants.

The research results determined the links between the cognitive, emotional and ethical factors in the cyborgization process of the employees and gave original insights to the managers and employees.

1. Determination of antecedents that affect individuals' acceptance of neural implant use.

2. Application to 300 individuals working in a health organization.

3. Path analysis using the least squares method via Smart PLS 3.3.3

4. Significant path coefficients among digital literacy, positive emotions, attitude, ethical understanding and acceptance of neural implant use.

Determination of antecedents that affect individuals' acceptance of neural implant use.

Application to 300 individuals working in a health organization.

Path analysis using the least squares method via Smart PLS 3.3.3

Significant path coefficients among digital literacy, positive emotions, attitude, ethical understanding and acceptance of neural implant use.

The objective of this study is to investigate the concept of “earthquake resistance” in high-rise buildings and assess the current level of structural strength in the areas where these structures are situated. The study aims to identify and implement necessary measures to enhance resilience in these areas. A comprehensive literature review was conducted to develop a conceptual framework focusing on earthquake resistance's meanings, stages and physical elements to achieve these goals.

This study focuses on Istanbul, a city known for its high earthquake risk, specifically targeting the Atasehir district. The research utilizes the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method to evaluate urban resilience parameters. Additionally, the Fuzzy TOPSIS (Preference Ranking Technique by Similarity) method is employed to analyze the location of five buildings in Atasehir, using criterion weights derived from this methodology.

The findings indicate that resilience varies depending on the distance of the buffers. Moreover, the amount and quality of urban equipment in the study areas have a significant impact on the earthquake resistance level of the surrounding areas where high-rise buildings are situated. Building upon this analysis, the study suggests the implementation of measures aimed at augmenting the quantity and quality of urban facilities in the study areas, consequently enhancing urban resilience.

The originality and value of this study lie in its examination of seismic resilience within the context of high-rise buildings and the identification of necessary measures to increase resilience in areas where these structures are prevalent. By focusing on Istanbul, a city with a high earthquake risk, and specifically selecting the Atasehir district as the study area, this research provides a comprehensive conceptual framework for understanding urban resilience and its physical components. Moreover, the study offers a fresh perspective on urban resilience by highlighting the influence of tall buildings on the surrounding areas. Ultimately, it provides practical recommendations for architects, urban planners and other stakeholders to improve regional earthquake resilience.

The purpose of this paper is to analyze the relationship of the organization and whether employees in the companies operating in the textile sector receive leadership support when they experience depression.

Data were obtained from personnel working in textile companies in organized industrial zones located within five provinces: Istanbul, Ankara, Bursa, Izmir and Antalya (defined as industrial cities of Turkey). The reason for choosing these companies was related to the question of whether the mental state of the personnel may have had an impact on the success of the company, especially as the textile industry works with more manpower and knowledge due to the nature of the job. The moderation relationship of leadership support to the relationship of this situation on organizational culture and organizational commitment was analyzed using the SmartPLS program.

As a result of the analyzes, it was determined that the depression of the employees weakens the organizational commitment, thereby leading to a negative relationship within the organizational culture. But, with leadership support, the organizational commitment increases and the organizational culture is positively affected.

As the research was conducted in companies in the textile sector in Istanbul, this limitation should be taken into account in future research. In addition, as data is collected from white-collar employees in the administrative staff position (the sample group), this situation should also be taken into account. Considering the questions asked in the questionnaire, it is recommended that future research be conducted on blue-collar workers.

It can be concluded that the leadership role is an important factor for organizations to prevent employees from being depressed and employees should receive positive support to ensure organizational commitment. At the same time, it can be concluded that the organizational culture is positively affected if the depression of the employees has decreased.

The research is an original study in terms of investigating the relationship of depression status to the leadership support of employees working in textile companies in an environment where competition is consistently intense.

The purpose of this article is to develop a new model called strategy segmentation methodology (SSM) by combining the Kraljic portfolio matrix (KPM) and the supplier relationship model (SRM) so that the buyer company can effectively conduct its relations with its suppliers.

The importance weights of the criteria defining the dimensions of each model are calculated with the single-valued neutrosophic analytical hierarchy process (SVN-AHP) method. Subsequently, the derived importance weights are employed in the single-valued neutrosophic technique for order preference by similarity to ideal solution (SVN-TOPSIS) method to obtain the scores of the suppliers and their supplied items. In order to illustrate the feasibility of the proposed methodology, a case study in the machinery industry is performed with the related comparative analysis.

The implementation of SSM enables to formulate various strategies to manage suppliers taking into account the items they procure, their capabilities and performance and the supplier–buyer relationship strength. Based on the proposed strategies, it is concluded that the firm in the case study should terminate its relationship with six of its suppliers.

Although KPM has become the basis of purchasing strategies for various businesses, it neglects the characteristics of suppliers and the buyer–supplier relationship. In this study, KPM is integrated with the SRM approach presented by Olsen and Ellram (1997) to overcome these disadvantages of KPM. The novel integration of the two approaches enables the realization of a robust and reliable supplier classification model.

The present study investigates human behavioral and emotional experiences based on human-built environment interaction with a specific interest in urban graffiti displaying fear and pleasure-inducing facial expressions. Regarding human behavioral and emotional experience, two questions are asked for the outcome of human responses and two hypotheses are formulated. H1 is based on the behavioral experience and posits that the urban graffiti displaying fear and pleasure-inducing facial expressions elicit specified behavioral fear and pleasure responses. H2 is based on emotional experience and states that the urban graffiti displaying fear and pleasure-inducing facial expressions elicit specified emotional fear and pleasure responses.

The research design is developed as a multi-method approach, applying a lab-based experimental strategy (N:39). The research equipment includes a mobile electroencephalogram (EEG) and a Virtual Reality (VR) headset. The behavioral and emotional human responses concerning the representational features of urban graffiti are assessed objectively by measuring physiological variables, EEG signals and subjectively by behavioral variables, systematic behavioral observation and self-report variables, Self-assessment Manikin (SAM) questionnaire. Additionally, correlational analyses between behavioral and emotional results are performed.

The findings of behavioral and emotional evaluations and correlational results show that specialized fear and pleasure response patterns occur due to the affective characteristics of the urban graffiti's representational features, supporting our hypotheses. As a result, the characteristics of behavioral fear and pleasure response and emotional fear and pleasure response are identified.

The present paper contributes to the literature on human-built environment interactions by using physiological, behavioral and self-report measurements as indicators of human behavioral and emotional experiences. Additionally, the literature on urban graffiti is expanded by studying the representational features of urban graffiti as a parameter of investigating human experience in the built environment.