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The purpose of this paper is to examine the dynamic relationship between oil exports, non-oil exports, imports and economic growth in the Organization of Petroleum Exporting Countries (OPEC), covering the period 1972-2013 by using panel data analysis.

The results from the dynamic panel data methods are as follows: there exists the cross-sectional dependence on each variable. According to the cross-sectionally augmented panel unit root tests, all variables are stationary at the first difference. Westerlund and Edgerton (2007) LM Bootstrap cointegration test shows that there is a long-term relationship between variables.

The results obtained by the Common Correlated Effects (CCE) estimator indicate that the increase in oil exports has a positive impact on the GDP of all countries, while the increase in oil exports has a negative impact on the non-oil exports of some countries.

In this study, the relationship between oil exports, economic growth, imports and non-oil exports of the 12 OPEC member countries is tested by considering the cross-sectional dependence between 1972 and 2013. In the study, the authors found a positive relationship as a result of researching the impact of oil exports on economic growth in the frame of CCE panel estimations results.

In order to understand interactions a_w vs equilibrium moisture content (EMC) in fortified coconut powder, moisture sorption isotherms were constructed under different storage conditions in order to predict the changes in their physical, chemical and microbiological properties that occur during storage and processing, which are unique to each food.

For which the moisture sorption isotherms were determined at three different temperatures (15, 25 and 35 °C), in a range of water activity from 0.1 to 0.90. Nine models, namely, the GAB, BET, Oswin, Smith, Halsey, Henderson, Chung and Pfost, Peleg and Caurie equations, were fitted to the sorption data. Various statistical tests were adopted as criteria to evaluate the fit performance of the models.

Of the models tested, the Peleg model gave the best fit to experimental data (R² = 0.997; R_MSE = 0.276), across the full range of water activities and at different temperatures. Humidity of the monolayer (m_o) was found between 2.54 and 2.34%, a fundamental parameter to define the storage and control conditions, given that it is considered the value at which the product is more stable. The net sorption isosteric heat (Q_st) increased to maximum and then diminished with increased moisture content (X_w); maximum values were obtained in the X_w interval between 0.48 and 2.87% (db), being between 35.72 and 99.26 kJ/mol, where the maximum value indicates coverage of the strongest bond sites and higher adsorbate-adsorbent interaction.

These results provide reliable experimental data on water absorption isotherms of the CP + FAC important to determine optimal processing, storing and packaging conditions.

Introduction: Just as the tourism event begins with the human element, it again ends with the human element. Therefore, the existence, behaviours and attitudes of the human factor is an issue that should be prioritised much more when compared to other sectors. Consumer behaviour involves certain decisions, activities, ideas or experiences that meet the needs and desires of the consumer. Prior to these actions, consumer behaviour is concerned with all the activities directly related to the attainment, consumption and disposition of the products and services. In this chapter, touristic consumer behaviour, consumer choice and behaviour of the relevant destination, and the management of the destination choice process are presented.

Aim: The chapter aims to reveal how important it is to know the consumer’s destination choice behaviour in both ensuring that the consumer has had a satisfied holiday during the holiday process, and that employers and employees, as service providers, experience the peace and pride of providing a good and quality service. Knowing the behaviour patterns of potential consumers and developing their marketing activities accordingly will provide great convenience to service marketers in the future.

Method: To do this a literature review has been carried out on the issues of destination choice behaviour and tourist travel behaviour.

Result: Tourist behaviour is the most significant indicator or predictor of future tourist behaviour. Considering the social role of the tourist, the behaviour of a tourist can also be an indicator of the behaviour of others. With their behaviours, tourists determine the norms of social behaviour within the context of tourism. These norms are also followed by other consumers such as engaging in tourist behaviour, as well as those who have not travelled yet. Tourist behaviour is the context of the consumer behaviour in the purchasing and abandoning the tourist services.

Implication: The characteristics of the consumer, their past experiences, the level of influence from other consumers, etc. In the future, knowing the behaviour patterns of potential consumers and developing their marketing activities in this direction will provide great convenience to service marketers.

Originality of Study: In the study, it is desired to draw attention to the importance of knowing consumer behaviours in their destination selection. Therefore, this study is thought to be useful in future studies, especially in terms of shedding light on the consumer behaviours and roles that play a role in determining the factors that play a role in destination selection.

This chapter explains the role and potential of colour and lighting as two important elements of the service atmosphere in tourism and hospitality service encounters. The chapter first explains the importance of colour and lighting in services from the perspective of customers’ sensory perceptions. Then, the chapter provides examples to demonstrate how psychological/neuro-marketing tools of Eye Tracker and Facial Recognition, Galvanic Skin Response (GSR) and Heart Rate (HR) can be used to understand the role of colour and lighting in customer satisfaction in tourism and hospitality service encounters. Based on this perspective, the study offers recommendations to design service environments in terms of colour and lighting.

The aim of this article is to examine in depth the digital nomad lifestyle and its effects in the context of tourism and to create a perspective for the future by taking into account the findings of the articles in the thematic issue.

The theme question is examined through a review of the main findings and outcomes of this issue.

The digital nomad lifestyle stands out as an alternative form of tourism to traditional tourism models. Digital nomads are interested in cultural heritage and are effective in destination marketing just as social media influencers are. Gastronomic preferences and security perceptions of digital nomads play an important role in destination selection. Although digital nomads start out with a desire for independence and freedom, they want to come together with their peers in order to meet their social needs.

This article will serve as a significant resource for understanding the digital nomad lifestyle and for predicting future tourism trends.

Work and societal values were examined through a 72‐item survey for a sample of nearly six hundred managers, business owners, and professionals in Turkey. Factor analyses revealed eleven work value dimensions and eleven societal value dimensions. A second order factor analysis revealed nine meta‐dimensions among which indigenous concepts of cynical fatalism and under‐ambitious work deserve further attention. Findings also validate comparatively well‐established notions such as paternalism and trust.

The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI).

Leveraging a novel methodological approach, the study curates a corpus of 364 documents from Scopus spanning 2022 to 2024. Using the term frequency-inverse document frequency (TF-IDF) and structural topic modeling (STM), it quantitatively dissects the thematic essence of the ethical discourse in generative AI across diverse domains, including education, healthcare, businesses and scientific research.

The results reveal a diverse range of ethical concerns across various sectors impacted by generative AI. In academia, the primary focus is on issues of authenticity and intellectual property, highlighting the challenges of AI-generated content in maintaining academic integrity. In the healthcare sector, the emphasis shifts to the ethical implications of AI in medical decision-making and patient privacy, reflecting concerns about the reliability and security of AI-generated medical advice. The study also uncovers significant ethical discussions in educational and financial settings, demonstrating the broad impact of generative AI on societal and professional practices.

This study provides a foundation for crafting targeted ethical guidelines and regulations for generative AI, informed by a systematic analysis using STM. It highlights the need for dynamic governance and continual monitoring of AI’s evolving ethical landscape, offering a model for future research and policymaking in diverse fields.

The study introduces a unique methodological combination of TF-IDF and STM to analyze a large academic corpus, offering new insights into the ethical implications of generative AI across multiple domains.

The authors examine whether Turkish fund managers employ liquidity timing along with market return timing, and if additional economic and market factors could affect their timing abilities, to help explain the contradictory results in literature vis-a-vis market timing ability.

The authors apply panel data analyses, with interaction terms and incorporating structural breaks, to monthly data for 96 out of 131 Turkish variable mutual funds which have available data for the sample period of 2011–2018. The authors employ the Amihud (2002) illiquidity measure to study market liquidity timing ability along with how additional economic and market factors affect this ability.

The authors find liquidity timing to be the performance enhancing method employed by Turkish variable fund managers in conjunction with market timing and that evidence for market timing may depend on whether structural breaks, that may be present in returns, are incorporated in the analysis. The authors also find that economic, technology and market-related factors affect timing abilities of fund managers.

Conclusions are for Turkey, for the sample period studied, and for the control factors selected based on literature.

It is important to understand the role of market liquidity in making investment decisions and the paper contributes toward an understanding of how managers design their timing strategies in order to enhance portfolio performance, as well as the impact of additional factors on their ability to time market returns and liquidity. This is also important for evaluating fund managers' performance in terms of contribution to portfolio value.

To the authors knowledge this is the first study on Turkish markets to employ liquidity timing in the context of panel data analyses using interaction terms, as well as structural breaks, to distinguish the extent of liquidity timing from return timing, while incorporating the effect of additional factors on timing ability.