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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.

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.

This study aims to understand how midwifery students view ethical rights concerning the usage of reproductive technologies.

A series of focus groups were conducted with midwifery students who were asked to discuss four novel scenarios highlighting some of the most controversial issues on the ethics of assisted reproductive technologies. The sample consisted of third-year students studying at the Department of Midwifery of a university in the fall semester of the 2020–2021 academic year. In total, 60 students aged between 20 and 23 participated in the study (mean age 21.5 years).

Four scenarios that may be encountered in the use of assisted reproductive techniques were presented to the students. These scenarios were about IVF treatment, using the preimplantation gender identification technique, surrogate mother and using frozen zygotes. Four themes were identified from the analysis of the focus group data related to all four scenarios. These themes were: female reproduction, sex selection, surrogacy and reproductive cloning.

This study reveals what midwifery students consider essential components of assisted reproduction techniques, focusing on the professional attributes of shared decision-making. The results suggest that student midwives are sensitive to the range of ethical dilemmas associated with the increased use of technology in human reproduction, and construct distinct bound arise in relation to what is considered of benefit or good to the mother, parents, the child and to society. They also expressed their opposition to the excessive use of technological intervention, preferring instead to maintain a more naturalistic approach to reproduction.

Developments regarding the use of artificial intelligence (AI) in transportation systems, one of the important stakeholders of tourism, are remarkable. However, no review thus far has provided a comprehensive overview of research on AI in transportation systems.

To fill this gap, this study uses the VOSviewer software to present a bibliometric review of the current scientific literature in the field of AI-related tourism research. The theme of AI in transportation systems was explored in the Web of Science database.

The original search yielded 642 documents, which were then filtered by parameters. For publications related to AI in transportation systems, the most cited documents, leading authors, productive countries, co-occurrence analysis of keywords and bibliographic matching of documents were examined. This report shows that there has been a recent increase in research on AI in transport systems. However, there is only one study on tourism. The country that contributed the most is China with 298 studies. The most used keyword in the documents was intelligent transportation system.

The bibliometric analysis of the existing work provided a valuable and seminal reference for researchers and practitioners in AI-related in transportation system.

Small businesses are facing evolving environments, with a resulting need to shift their traditional approaches toward new business models (BMs). Many face difficulties within this transition process due to their specific resource constraints. Based on this, incremental changes to the BM – business model transition (BMT) – are proposed as comprising a suitable framework for entrepreneurial small businesses.

This study conducts a systematic literature review (SLR) to cover a broad range of relevant literature within a final sample of 89 articles. The SLR method was chosen to integrate research in a systematic, transparent and reproducible way. For qualitative analysis and framework derivation, the study draws on a thematic ontological analysis.

The broad search criteria, focusing on BM, incremental BM changes and small businesses, pave the way for a comprehensive overview of multiple research streams of BM concepts (e.g. digital and sustainable BM). The main contribution of this work is the resulting holistic BMT framework, comprising the main parts BM innovation, external antecedents (transition of environment, entrepreneurial ecosystem), internal antecedents (dynamic capabilities, entrepreneurial orientation, resilience, strategy) and output (firm performance).

The framework provides guidance for entrepreneurs and entrepreneurial managers to implement and complete BMT in small businesses. Furthermore, the presented paper sets a future research agenda focusing on small businesses structured according to the derived framework.

This study provides the first SLR of existing BM concepts with a small-business specific perspective on BMI and a focus on various incremental BM changes.

Social media is widely used to capture citizens' opinions and topics deemed important. The importance or interest social media users attribute to a topic is traditionally measured by tweet frequency. This approach is practical but overlooks other user engagement tools such as retweets, likes, quotes, and replies. As a result, it may lead to a misinterpretation of social media signals. This paper aims to propose a method that considers all user engagement indicators and ranks the topics based on the interest attributed by social media users.

A multi-criteria decision-making framework was proposed, which calculates the relative importance of user engagement tools using objective (information entropy) and subjective (Bayesian Best-Worst Method) methods. The results of the two methods are aggregated with a combinative method. Then, topics are ranked based on their user engagement levels using Multi-Objective Optimization by Ratio Analysis.

The proposed approach was used to determine citizens' priorities in transport policy, and the findings are compared with those obtained solely based on tweet frequency. The results revealed that the proposed multi-criteria decision-making framework generated more comprehensive and robust results.

The proposed method provides a systematic way to interpret social media signals and guide institutions in making better policies, hence ensuring that the demands of users/society are properly addressed.

This study presents a systematic method to prioritize user preferences in social media. It is the first in the literature to discuss the necessity of considering all user engagement indicators and proposes a reliable method that calculates their relative importance.

Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability.

This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration.

In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation.

The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient.

This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.