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The purpose of this study is to enable the planning of construction projects with simultaneous consideration of time, cost and safety risks. It also aims to improve the decision-making process by evaluating the effectiveness of the Rao-2 algorithm in solving multi-objective time-cost-safety risk problems. In the end, this model is designed to support project managers in enhancing management approaches by addressing project challenges and constraints more efficiently.

In this study, the Rao-2 algorithm, along with Grey Wolf Optimization (GWO) and Whale Optimization algorithm (WOA), were improved using the crowding distance-based non-dominated sorting method. Rao-2 was first compared to GWO and WOA. Subsequently, it was compared with well-established algorithms in the literature, including genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE). The C-metric, hypervolume and spread metrics were employed for performance measurement. The performance of the algorithms was evaluated on four case studies consisting of 11, 13, 18 and 25 activities.

The results revealed that Rao-2 performs better than other algorithms as the number of activities increases, when compared using the Hypervolume, Spread and C-metric measures. In terms of performance measures, the GWO algorithm outperformed Rao-2 in some evaluation metrics for the instance involving 11 activities. However, as the number of activities grew, the Rao-2 method consistently generated higher-quality Pareto fronts and outperformed GWO and WOA in all evaluation metrics. The solutions generated by Rao-2 were also superior to those obtained from GA, PSO and DE in all case studies, further demonstrating the capability of our framework to produce a wide range of optimal solutions with high diversity across different case studies.

This research demonstrates that Rao-2 not only improves solution quality when generating Pareto fronts but also achieves better results with fewer function evaluations compared to GA, PSO and DE. The algorithm's efficiency makes it particularly well-suited for optimizing time, cost and safety risks in large-scale construction projects, which in turn positions Rao-2 as a better choice for such projects by producing superior results compared to other algorithms. By providing high-quality solutions with reduced computational demands, Rao-2 offers a faster and more resource-efficient tool for decision-making, contributing to advancements in both the theory and practice of construction project management.

This study aims to examine the outcome of an online project to inform preservice English language teachers regarding the United Nations’ Sustainable Development Goals (SDGs).

A qualitative research method was used to understand participants’ overall knowledge. In total, 30 preservice teachers were selected from a larger pool after considering their grade point averages, sex, university affiliations and geographical backgrounds to ensure a balanced distribution and diversity. Qualitative data were collected through written productions, video recordings and a postproject survey.

Findings revealed that preservice teachers deepened their understanding of SDGs and adopted a positive attitude toward SDGs while increasing their pedagogical awareness and knowledge of teaching English in response to SDGs. They also regarded literary texts as a valuable resource for teaching SDGs.

This study contributes to the literature by demonstrating that literary works are valuable for educating preservice teachers on integrating SDGs. A detailed overview of the project and its outcomes can guide practitioners and teacher educators in integrating SDGs into their education programs and English language teaching.

This study aimed to explore the adaptations and perspectives of hotel managers regarding green and smart hotel technologies within the context of sustainability.

A comprehensive literature review guided the formulation of this study, followed by face-to-face, semi-structured interviews with hotel managers. A total of 17 prepared questions were finalized after examination by two expert academicians. The responses were analyzed using qualitative research methodology and the results were weighted using the step-wise weight assessment ratio analysis (SWARA) method.

Interviews with sustainability and operational managers yielded insights into environmentally friendly practices and strategies such as reducing energy and water consumption, waste and chemical reduction, supporting local entrepreneurs and adopting smart technologies. These factors are crucial in eco-friendly hotels. According to the SWARA analysis, 'reducing energy consumption' is the most effective criterion.

This study offers insights into green and smart hotel management by focusing on the perspectives of hotel managers with a small sample. In future studies, research with larger samples on customer perspectives and the effect of hotel selection is recommended.

This study offers insights to hotel managers on energy conservation and customer satisfaction enhancement through green and technological applications. These technological applications can improve hotel service quality and provide personalized experiences, fostering customer loyalty.

This pioneering study focuses on the intersection of green and smart practices in hospitality. By intertwining the often separately discussed concepts of “green” and “smart,” this study presents a novel approach to the sustainability practices in the hospitality industry, holding a key position, especially in Turkey. Implementing these concepts can yield environmental and economic benefits, offering invaluable insights to hotel managers and policymakers into integrating smart technologies with sustainability.

The study was designed to investigate the moderating role of employee motivation as a mediator of psychological ownership in the relationship between nurses’ perception of participatory leadership and their organizational learning behaviors.

The study included 476 nurses working in a training and research hospital in the east of Turkey. This study, prepared in accordance with the Strobe checklist, was designed as a cross-sectional descriptive study. Data were collected using a demographic information form, a participative leadership scale, an organizational learning scale, a psychological ownership scale and a motivation scale. Correlation analyses and mediator model tests were performed to examine the relationship between these variables.

As a result, it was found that nurses’ perceptions of participative leadership positively and significantly affected organizational learning (r = 0.74; p < 0.01), participative leadership positively affected psychological ownership (r = 0.29; p < 0.01) and nurses’ psychological ownership positively and significantly affected organizational learning (r = 0.41; p < 0.01). In addition, it was found that nurses’ psychological ownership had a mediating role in the effect of participatory leadership perceptions on organizational learning (CI [0.030, 0.089]) and nurse motivation had a moderating role between psychological ownership and organizational learning (β = 0.168, 95% CI [0.064, 0.271]).

The study’s findings have practical implications for the Turkish health system and healthcare administrators. Administrators can significantly enhance organizational learning by implementing participative leadership training and fostering a sense of ownership among nurses. Empowering nurses to take charge of their learning and emphasizing the role of motivation can further drive organizational growth.