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There are many factors that determine consumers’ satisfaction. Specifically, the current study examines how political-economic views affect the perception of public services. This study also aims to extend the relationship between public service satisfaction and political-economic opinion from an empirical perspective.

The analysis process is carried out with the Microdataset of the Life Satisfaction Survey. Independent sample t-test which compares individual public service satisfaction ratings and ordinal probit regression models assesses the impacts of political-economic attitude on public service satisfaction.

According to the findings, household size and gender impact public service satisfaction. Again, service satisfaction diminishes as the education level rises. Moreover, a person’s political-economic view affects their public service satisfaction. The study has the potential to literature in terms of determining society’s political-economic view on public services with these empirical results.

The study’s use of the state as a point of reference and quantitative and qualitative evaluation of the service exchange between the citizen and the state is a significant difference in the literature. Also, unlike the other studies, this one used microdata to test the relationship between the political-economic type and the level of satisfaction with public services at different levels. It is thought that future studies on the determinants of public service satisfaction, to be carried out in different country samples, will contribute to the field.

This study has implications on whether the perception of public service varies according to partisanship status.

This study has implications on whether the perception of public service varies according to partisanship status.

This study determines the interaction between the political-economic typology derived from microdata and the satisfaction level variables related to public services offered at different levels. It also evaluates how public service satisfaction differs regarding personality traits and political-economic attitudes.

COVID-19, like many previous crises, proved once more that some hospitality and tourism organizations are more crises resilient than others. Despite increasing frequency and magnitude of crises, little is known about the features of crises resilient organizations and mitigation strategies they adopt. If the characteristics of such resiliency are identified, those strengths might be targeted. Hence, the purpose of this study is to identify characteristics of crises resilient organizations by analyzing the interface between different organizational characteristics, recovery strategies they adopted and impacts of COVID-19 on individual hospitality and tourism organizations.

A global sample of 202 respondents from 20 countries and four continents, representing different sectors of the hospitality and tourism industry, participated in the survey. Descriptive analysis and cluster analysis were used to rank the items and group hospitality and tourism organizations based on their crises resiliency.

Service quality, loyal customers, branding, high paid in capital, domestic market base, hygiene and safety image, information and communication technology adoption, product and market diversification and restructuring debts emerged as major characteristics and strategies of crises resilient organizations. Using cluster analysis, four different groups of organizations were identified. Based on the impacts of COVID-19 on these organizations, Cluster-1 emerged as significantly more crises resilient, whereas Cluster-4 organizations were significantly more vulnerable to crises. Their characteristics and mitigation strategies they adopted were discussed.

The paper not only identified features of crises resilient organizations and successful mitigation strategies but also measured their impact on various performance indicators. Future studies might use characteristics, mitigation strategies and performance indicators identified in this study.

Based on the findings, tourism organizations would focus on strengthening characteristics and implementing strategies that make crises resilient organizations. Public bodies and destination management would also set their decision criteria based on these findings to create a more resilient tourism industry.

This research not only identifies how hospitality and tourism organizations are affected by COVID-19 but also how these impacts change based on different organizational characteristics and strategies. Understanding which organizational characteristics affect the crises vulnerability of hospitality and tourism organizations might inform risk and crises management literature and structural design elements in tourism businesses, hence offer both theoretical and practical implications.

Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation operations, induce a significant economic impact. Despite the increasing academic attention to the field, literature still fails to match the needs of and opportunities in the growing industrial practices. In particular, the literature can grow upon the ideas on sustainability, Industry 4.0 and collaboration, which shape future practices not only in logistics but also in many other industries. This review has the potential to enhance and accelerate the development of relevant literature that matches the challenges confronted in industrial problems. Furthermore, this review can help to explore the existing methods, algorithms and techniques employed to address this problem, reveal directions and generate inspiration for potential improvements.

This study provides a literature review on VAPs, focusing on quantitative models that incorporate any of the following emerging logistics trends: sustainability, Industry 4.0 and logistics collaboration.

In the literature, sustainability interactions have been limited to environmental externalities (mostly reducing operational-level emissions) and economic considerations; however, emissions generated throughout the supply chain, other environmental externalities such as waste and product deterioration, or the level of stakeholder engagement, etc., are to be monitored in order to achieve overall climate-neutral services to the society. Moreover, even though there are many types of collaboration (such as co-opetition and vertical collaboration) and Industry 4.0 opportunities (such as sharing information and comanaging distribution operations) that could improve vehicle allocation operations, these topics have not yet received sufficient attention from researchers.

The scientific contribution of this study is twofold: (1) This study analyses decision models of each reviewed article in terms of decision variable, constraint and assumption sets, objectives, modeling and solving approaches, the contribution of the article and the way that any of sustainability, Industry 4.0 and collaboration aspects are incorporated into the model. (2) The authors provide a discussion on the gaps in the related literature, particularly focusing on practical opportunities and serving climate-neutrality targets, carried out under four main streams: logistics collaboration possibilities, supply chain risks, smart solutions and various other potential practices. As a result, the review provides several gaps in the literature and/or potential research ideas that can improve the literature and may provide positive industrial impacts, particularly on how logistics collaboration may be further engaged, which supply chain risks are to be incorporated into decision models, and how smart solutions can be employed to cope with uncertainty and improve the effectiveness and efficiency of operations.

The paper aims to reveal the intellectual structure of studies on artificial intelligence (AI) in the fields of tourism and hospitality. Evaluations regarding the intellectual structure have been made based on co-author, co-word and citation.

The study is exploratory in nature. The study, using bibliometric analysis, provides a Web of Sciences (WOS) overview. The data has been obtained from the WOS database by coding as “artificial intelligence” and “tourism” and “hospitality.” VOSviewer program has been used to obtain and analyze the data.

The findings of the research show that studies on the use of AI in tourism and hospitality have become very popular, especially in the last 4 years. The authors of the study are working in the tourism and hospitality fields and have a high h-index. Generally, in current AI studies in tourism, topics such as robot, automation, ChatGPT, technology adoption and mechanical learning are studied. It has also been determined that topics related to the future of destinations and literature reviews are also discussed.

Although this paper examines all studies identified as a result of filtering, the analysis is limited to 195 studies. However, due to the widespread use of AI in tourism-related studies recently, bibliometric analysis has been made with extensive filtering. As studies on the subject become more widespread in the coming years, it would be useful to repeat similar studies by filtering with more specific quotas.

There are a few similar studies on the subject in the field. However, these studies need to be repeated at certain periods. This paper contributes to monitoring the literature of AI studies, which are new to use in tourism and hospitality, and to the formation of a theoretical framework on the subject.

This study aims to explore the relationships between career competencies and job search self-efficacy via the serial multiple mediation effect of career adaptability and self-perceived employability within multiple theoretical frameworks.

This study adopts a cross-sectional design to collect data at a specific point in time and employs self-report questionnaires to collect data from participants. In total, 302 students from the “management and organization department” in a vocational school of a public university completed the survey forms. To test the hypothesized model, a serial multiple mediation analysis was performed using structural equation modeling (SEM) via SPSS (Statistical Package for Social Sciences) AMOS (Analysis of Moment Structures).

The results indicated that career competencies, career adaptability, job search self-efficacy and self-perceived employability all had significant and positive relationships. Additionally, the relationship between career competencies and job search self-efficacy was serially mediated by career adaptability and self-perceived employability as anticipated.

Considering the growing importance of the subject of how universities might better prepare their graduates for the job market, the study's findings have important policy implications. University students should also be provided with career management resources, specifically adaptation resources, to help them navigate their individual characteristics and transfer more successfully into the existing job market. This is the cause of the need for constant planning, adaptation, assessment and evaluation of career competencies in current labor markets.

The study contributes to international career development and vocational education research by filling a gap in the literature by demonstrating that job search self-efficacy, which is a predictor of job search behavior, can be promoted by career competencies, career adaptability and self-perceived employability. These findings are particularly significant because they highlight the importance of career-related knowledge, skills and abilities in engaging university students seeking employment in a developing country with a highly competitive labor market.

Cryptocurrencies are becoming increasingly attractive as alternatives to traditional currencies. Although many retailers accept cryptocurrencies as a means of payment in online shopping, consumers’ cryptocurrency adoption intention in online shopping (CCAI) is still low. This study aims to investigate the influence of attitudes, subjective norms, consumer trust, financial literacy and fear of missing out (FOMO) on CCAI.

A quantitative research approach was followed using a consumer survey. Hypothesized relationships were tested through regression and mediation analyses.

The results revealed that consumers could accept cryptocurrencies as a means of payment in online shopping. Attitudes, subjective norms, consumer trust and financial literacy directly and positively influence CCAI, while they indirectly affect CCAI through the mediating impact of FOMO.

Marketing managers should improve consumers’ knowledge about cryptocurrencies and trust in online shopping to increase CCAI. Social media marketing can be appropriate, while the advertising content can address keeping up with others and staying connected.

This study addresses a critical gap in the literature by empirically examining the antecedents of CCAI within an original conceptual model based on the theoretical framework provided by the theory of planned behavior. Attitudes, subjective norms, trust and financial literacy influence CCAI, where FOMO plays a significant role as a mediator.

As an important indicator of the quality of life of individuals, residential environments are continuing to evolve, due to the rapidly changing production–consumption relations. However, in this evolving process, the effect of the differentiated residential environments on the individuals' residential satisfaction remains unclear. This paper aims to measure the effects of the varying residential environments on the overall quality of urban life (QoUL) in Kayseri, one of the most developed cities in Central Anatolia.

It is based on empirical data on the quality of life in the different residential environments of Kayseri. The research method used stratified purposeful sampling, and the household survey data were analyzed using factor analysis, multiple regression and ANOVA statistical methods.

The most influential factors on the overall QoUL of individuals living in different Kayseri residential neighborhoods were satisfaction with neighborhood and city-level urban services, neighborhood relations and belonging factor groups. The critical finding obtained in this study is that residential satisfaction in low-rise and compact form housing areas in Kayseri is higher compared to residential satisfaction in high-rise neighborhoods. This result reveals that the high-rise building typology that is dominant in Turkey's big cities should be seriously questioned, and urban development policies should be re-evaluated.

The study was designed to produce baseline data so that future changes in residential conditions as perceived by the residents of Kayseri could be monitored to support decisions for residential areas.

Comparative case studies, particularly on low-rise versus high-rise environments, are scarce. As a result, this research contributes to the field of comparative studies on residential environments.

Introduction: When people need to take decisions, being economic decisions or otherwise, their decisions tend to rely on information the brain has already processed, and this includes the resources that the person has already invested. This is called sunk cost bias in the behavioural economics literature. On the other hand, mental practices could lead to the mental accounting bias, where people allocate a different value to a fixed amount of money, depending on circumstances.

Purpose: In this chapter, both biases mental accounting and sunk cost are investigated for the tourism industry in Turkey.

Methodology: The topic is researched through scenario-based questions and the Chi-square Automatic Interaction Detector (CHAID) method is applied.

Findings: As a result, it could be reported that people, regardless of gender, fall into sunk cost and mental accounting biases in decisions relating to their vacations. Mental accounting biases can be primarily explained using the scenario questions posed rather than gender, education, and income while sunk cost bias is explained by status, ‘being s university student’ and ‘income level’.

Practical implications: Rapid price changes in the tourism industry can disturb consumers who are mental accounting and sunk cost biased. So, they can change their holiday preferences or be dissatisfied with it and give negative feedback.

This study aimed to examine the financial risk-taking behaviors of adult individuals diagnosed with attention deficit hyperactivity disorder (ADHD).

The study was conducted with adults (n = 80) diagnosed with ADHD and healthy controls (n = 80). In order to measure risk-taking in the financial domain, the items in the investment and gambling sub-dimensions of the Domain-Specific Risk-Taking Scale (DOSPERT) were applied.

Adults with ADHD had higher investment and gambling risk-taking and expected benefits scores than the control group, and there was no difference between the two groups in terms of risk perceptions. In the regression analysis, there was a positive linear relationship between the investment and gambling risk-taking scores and the expected benefits scores in both groups. There was a negative linear relationship between investment risk-taking and risk perceptions scores only in the control group.

In terms of investment and gambling, both risk-taking and expected benefits are greater in individuals with ADHD. It has been observed that while healthy individuals take investment risks, they evaluate according to the expected benefits and risk perceptions, while individuals with ADHD make evaluations only according to the expected benefits, risk perceptions do not predict financial risk-taking in individuals with ADHD. When it comes to risk-taking related to gambling, both groups take risks only according to their expectations of benefits, not their perceptions of risk. The study provides outputs that can contribute to the literature in terms of the effects of ADHD diagnosis on financial decision-making processes in the context of risk-taking.

This study aims to reveal the food preferences and to define the typology of digital nomads as gastro-tourists. In this context, it is aimed to provide information on issues such as the importance of food culture in destination selection for digital nomads, food prices, local dishes, local food markets, religious restrictions, researching cultural cuisines, preparing meals and participating in gastronomic events.

Multiple qualitative methods were utilized in the research for this study. Digital nomads' comments, videos and semi-structured interviews constitute the data sources of the research, and the data obtained were analyzed by content analysis.

As a result of the study, it was seen that digital nomads do consider gastronomy in their destination selection, and five different gastro-tourist profiles were determined. These are Local Flavor Hunters, Gastronomy Adventurers, Budget-Conscious Food Lovers, Cultural Explorers and Health and Sustainability Focused People.

The theoretical contribution of the study is to provide information with regard to the food and beverage preferences of digital nomads and to contribute to filling a gap in the literature. The practical contribution of the study is to help formulate tourism marketing strategies in the destination and strategies for businesses in the tourism industry. Since digital nomads play important roles in destination promotion, it is important to determine their perspectives and typologies towards gastronomy. The results of the study will be useful for tourism industry components, such as academics, experts, travel businesses, tourism destinations and local food producers who research the tourism industry and travel trends.