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The primary objective of the current study is to unveil this relatively new phenomenon in the context of travel and tourism. In line with this purpose, the study provides a comprehensive overview of the concept of digital nomadism through a tourism perspective, discusses the relationship between digital nomadism, travel and tourism, examines the opportunities and threats of digital nomadism, and finally uncovers its transformative impact.

This conceptual study examined secondary data, i.e. existing literature. In this data, the focus has been on the tourism aspect of the digital nomad phenomenon.

The results suggest that digital nomadism introduces a novel perspective on the nature of travel and tourism mobility, along with a distinct tourist typology characterized by unique traits. Moreover, the results indicate that, while digital nomadism contributes to the local economy and cultural change on the one hand, it poses challenges in terms of regulations and taxation on the other. In this context, one can conclude that legislators should establish regulations for the employment of digital nomads, while managers should engage in activities that attract potential digital nomads on an international scale.

The study comprehensively reviews relevant literature in various ways, conducts a conceptualization of digital nomad tourists and makes a noteworthy theoretical contribution within the context of tourism. It addresses the gaps in the existing literature, particularly in specific contexts such as the legal status of digital nomads, taxation, prevention of gentrification, cultural exchanges, identity transformation and the impact on travel and tourism.

Demand for fishery products rich in protein, vitamins, minerals and omega fatty acids has been increasing daily to meet the world population's increasing nutritional request, estimated to be 7.6 billion. Despite aquatic products' positive effects on human health, their consumption in Turkey has decreased over time and is currently lower than most countries with 6.3 kg per capita. The reason why fish consumption in Turkey is less than in other countries is the more preference for terrestrial production. Therefore, it was aimed to determine the consumption habits of consumers in Turkey's coastal region.

This study was carried out between Feb–March 2018 to determine the consumption habits of aquatic products; 28 areas in the coastal regions of Turkey random were selected, 650 volunteer consumers were randomly selected to answer a set of 25 questions. The survey results were evaluated by Chi-square analysis.

From the survey results, 81.4% of the respondents prefer to consume fish from the natural environment. Additionally, from the consumers, there was no statistical difference between natural (81.4%) and aquaculture (85.4%) fish taste (p = 0.05). It was found that 63% of the participants consumed fish meat once a week, with an average per capita consumption of 17.50 ± 2.34 and 10.50 ± 1.66 kg for fish and other seafood consumption, respectively. As a result, it was estimated that fish products were consumed at the desired level in the provinces examined. Accordingly, individuals need to be more conscious and encouraged to increase the consumption of seafood.

Because Turkey's seafood consumption is still held in coastal regions in this article are the limitations of this article results. In the future, the difference between inland and coastal regions for fish consumption needs to be explored further.

The article says exports of fish / fisheries products have gradually decreased due to the global COVID-19 crisis, but producers / markets will have to target the domestic market more and sales with TL will come to the fore. As a result, it was estimated that fish products were consumed at the desired level in the studied provinces. Accordingly, it has been revealed that individuals should be more conscious and encouraged to increase their consumption of seafood.

Through this research, the consumption of fisheries consumption preferences of individuals in Turkey's coastal regions uncovered.

On the other hand, since Turkey's aquaculture and fisheries sector attaches great importance to foreign sales (exports), domestic consumption amounts are low, and the issue of increasing this is an issue that has remained in the background for the producer. However, during the COVID-19 pandemic period, it was well understood that the closing of the customs gates partially and/or completely and the export figures becoming scanty will cause the end of 2020 and 2021 to be more troublesome in this sense. Therefore, producers/markets will have to target the domestic market more, and sales with TL (Turkish Lira) will come to the fore, various campaigns and price reductions will be made during some special hours during the day in order to increase sales in domestic market.

This study aims to reveal consumer perceptions towards organic food, particularly emphasizing the confusion and vagueness in the public eye.

In total, 21 well-educated and relatively high-income consumers were selected as cases of the study. The knowledge about the organic food concept and organic food preferences were analyzed through the grounded theory analysis. In this analysis, ten categories which are shopping from the close circle, the product information attitude, do it yourself (DIY), true and false facts and dilemmas, information sources, the most preferred organic products, perception of organic food indicator, market place trends, organic food orientation reasons, and attitude toward the organic products/producers were detected as the main issues.

The authors chose the cases from well-educated people who have a relatively high income, and it is seen that the knowledge levels of consumers are low regarding organic foods. This low-level knowledge becomes apparent in confused and erroneous answers and actions. The confusion over the organic food concept and the institutional image appear as two main findings of the study. The authors named this false fact as organic confusion and dilemmas in this analysis. According to the study’s results, there is a considerable amount of confusion over healthy and natural food contexts.

This study aims to bring a comprehensive delineation to the general perception of the organic food concept in society. And it reveals a detailed feedback for the institutions and companies on how to solve organic food problems such as confusion, institutional image problem, and false facts. Although organic product knowledge is shown as a critical factor in many studies in the literature, the number of studies that examine this situation in depth is insufficient.

This study aims to provide a scientific framework for the selection of suitable substation technology in an electrical power distribution network.

The present paper focuses on adopting an integrated multi-criteria decision-making approach using the Delphi method, analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). The AHP is used to ascertain the criteria weights, and the TOPSIS is used for choosing the most fitting technology among choices of air-insulated substation, gas-insulated substation (GIS) and hybrid substation, to guarantee educated and supported choice.

The results reveal that the GIS is the most preferred technology by area experts, considering all the criteria and their relative preferences.

The current research has implications for public and private organizations responsible for the management of electricity in India, particularly the distribution system as the choice of substations is an essential component that has a strong impact on the smooth functioning and performance of the energy distribution in the country. The implementation of the chosen technology not only reduces economic losses but also contributes to the reduction of power outages, minimization of energy losses and improvement of the reliability, security, stability and quality of supply of the electrical networks.

The study explores the impact of substation technology installation in terms of its economic and environmental challenges. It emphasizes the need for proper installation checks to avoid long-term environmental hazards. Further, it reports that the economic benefits should not come at the cost of ecological degradation.

The present study is the first to provide a decision support framework for the selection of substation technologies using the hybrid AHP-TOPSIS approach. It also provides a cost–benefit analysis with short-term and long-term horizons. It further pinpoints the environmental issues with the installation of substation technology.

The purpose of this paper is to attempt the buckling analysis of a laminated composite skew plate using the C₀ finite element (FE) model based on higher-order shear deformation theory (HSDT) in conjunction with minimax probability machine regression (MPMR) and multivariate adaptive regression spline (MARS).

HSDT considers the third-order variation of in-plane displacements which eliminates the use of shear correction factor owing to realistic parabolic transverse shear stresses across the thickness coordinate. At the top and bottom of the plate, zero transverse shear stress condition is imposed. C₀ FE model based on HSDT is developed and coded in formula translation (FORTRAN). FE model is validated and found efficient to create new results. MPMR and MARS models are coded in MATLAB. Using skew angle (α), stacking sequence (Ai) and buckling strength (Y) as input parameters, a regression problem is formulated using MPMR and MARS to predict the buckling strength of laminated composite skew plates.

The results of the MPMR and MARS models are in good agreement with the FE model result. MPMR is a better tool than MARS to analyze the buckling problem.

The present work considers the linear behavior of the laminated composite skew plate.

To the authors’ best of knowledge, there is no work in the literature on the buckling analysis of a laminated composite skew plate using C₀ FE formulation based on third-order shear deformation theory in conjunction with MPMR and MARS. These machine-learning techniques increase efficiency, reduce the computational time and reduce the cost of analysis. Further, an equation is generated with the MARS model via which the buckling strength of the laminated composite skew plate can be predicted with ease and simplicity.