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The purpose of this study is to improve understanding of the role of the family as NEET determinants in a country with free education in a Mediterranean or Southern European welfare state, so that the authors can contribute to policy recommendations and offer suggestions for future studies.

The authors used TurkStat (2021) household workforce statistics microdata (TurkStat permit number 10484) for multinomial logistic regression. These microdata are the most detailed data representation of all households in Turkey in 2021, representing all household members (n = 635.159) and young people aged 15–24 years (n = 88.974) in Turkey. Of the data on youth, those not in education or employment constituted the NEET sample (n = 21,729). The authors also used the 2014–2020 household workforce statistics microdata (TurkStat permit number 3188) to explain the proportional changes between the status of NEETs in past years and today.

The age factor (20–24) and long-term unemployment in men and marital status (for married and divorced) in women are of critical importance for the risk of being NEET. Compulsory education is the most influential factor in reducing the risk of NEET for both genders. The estimations of logistic regression models showed significantly that the increase in the education level of parents decreased the probability of NEET in the household. In particular, the gains of mothers after compulsory education (university, postgraduate education) increased the probability of young people in the household being NEET compared to the education levels of fathers.

The authors make two contributions with this study. First, the authors discuss current microdata and NEET determinants in Turkey, which is the subject of limited research and has one of the highest rates of NEET in the 15–29-years age category (28.7%) in the OECD (2021). Second, the authors are the first to examine parental education or employment for NEETs in Turkey. Findings from the study allow comparison of Turkey and southern European welfare regime countries and fill the gap in the literature on NEET and parent relationship in Turkey with a strong and up-to-date dataset.

In the field of tourism, numerous studies have been conducted on tourists' food experiences. However, more studies are needed to comprehend tourists' dining experience in unique cuisines. Thus, the main purpose of this study was to examine the components of tourists' dining experiences related to palace cuisine foods.

In this study, a qualitative approach was adopted to capture the components of tourists' dining experiences. The online narratives of tourists (n = 911) who had experienced Ottoman palace cuisine in Istanbul were obtained from an online travel platform (TripAdvisor) and analyzed using content analysis.

Seven main components were revealed: perceived authenticity, perceived service quality, knowledge, a sense of royalty, food specialties and attributes, a memorable experience and a sense of awe.

By identifying components of the palace cuisine dining experience and their relevant importance, the findings of this study can increase service providers' knowledge and facilitate their jobs. To be able to meet the expectations of tourists experiencing the palace cuisine, service providers can improve their services by considering research results.

Results revealed that obtained six dimensions were parallel with previous studies on food experience; however, this study uncovered a previously unexplored dimension named a sense of royalty. This can be shown as the unique contribution of this study to the tourist food experience literature.