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This paper aims to investigate the optimization of window and shading designs to reduce the building energy consumption of a standard office room while improving occupants' comfort in Tehran and Auckland.

The NSGA-II algorithm, as a multi-objective optimization method, is applied in this study. First, a comparison of the effects of each variable on all objectives in both cities is conducted. Afterwards, the optimal solutions and the most undesirable scenarios for each city are presented for architects and decision-makers to select or avoid.

The results indicate that, in both cities, the number of slats and their distance from the wall are the most influential variables for shading configurations. Additionally, occupants' thermal comfort in Auckland is much better than in Tehran, while the latter city can receive more daylight. Furthermore, the annual energy use in Tehran can be significantly reduced by using a proper shading device and window-to-wall ratio (WWR), while building energy consumption, especially heating, is negligible in Auckland.

To the best of the authors' knowledge, this is the first study that compares the differences in window and shading design between two cities, Tehran and Auckland, with similar latitudes but located in different hemispheres. The outcomes of this study can benefit two groups: firstly, architects and decision-makers can choose an appropriate WWR and shading to enhance building energy efficiency and occupants' comfort. Secondly, researchers who want to study window and shading systems can implement this approach for different climates.

This study explores the role of digital visualization technology, specifically virtual reality (VR), in assessing daylight visual comfort, a critical aspect of indoor environmental quality (IEQ) in built environment.

A systematic literature review was conducted following PRISMA guidelines on articles published between 2019 and 2023, sourced from Scopus, ScienceDirect, Emerald Insight and Sage. A total of 17 articles were selected for final analysis. The study classifies factors affecting users’ emotions and behavioral responses in immersive virtual environments using the stimulus-organism-response (S-O-R) framework from environmental psychology.

The review reveals that most VR studies on visual comfort and lighting focus predominantly on office environments, highlighting a significant research gap in residential contexts where daylighting strategies differ considerably. The analysis identifies four major clusters of factors—window properties, light properties, natural properties and spatial properties—that influence emotional, physiological, cognitive and perceptual responses, leading to behavioral outcomes such as energy consumption, productivity and lighting preferences.

The experimental designs, protocols and measurement tools from the selected studies are analyzed to recommend best practices for future research. This research offers strategic insights for conducting empirical studies using VR to assess daylight visual comfort in buildings.

This study extends the S-O-R framework by proposing a conceptual model linking key elements of visual comfort in residential settings to users’ emotions and behavioral responses. This model serves as a foundation for future VR-based experiments on indoor daylight visual comfort evaluation.

Service quality is an established research area in the services marketing literature and is an integral component in an Islamic economy driven by halal service sectors. Despite its importance and the rapidly changing service environment, there has yet to be a comprehensive study of service quality research across halal industries. The purpose of this study is to systematically review the existing literature on service quality in halal industries to provide a state-of-the-art understanding and identify opportunities in this research area.

Guided by the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol and the theories, contexts, characteristics and methods (TCCM) framework, this paper reviews 78 journal articles from the Web of Science database which features service quality as an underpinning theory in the context of halal economies.

Findings indicate that since the first study in 2010, service quality research in halal industries has concentrated on consumers in the Islamic finance sector who are served primarily by human service agents. Most studies are focused on halal industries in Muslim countries. Several papers adopt the SERVQUAL model while others develop more novel service quality scales for halal industries. Culture, technology and faith-related factors are key drivers of halal service quality. While few papers study the antecedents and moderators of service quality in halal industries, religiosity was found to be a significant variable in several papers reviewed.

The global Islamic economy will continue to be driven by halal services. This review will provide managers with an appreciation of service quality across different halal industries. Researchers can use the results of this review to guide future studies and contribute toward the development of this research area.

To the best of the author’s knowledge, this paper is the first to comprehensively map the antecedents, dimensions, outcomes and moderators of service quality across halal industries and provides managers with a strategic understanding of service quality across the halal economy. This study develops a conceptual model and concludes with a research agenda to advance halal service quality research.

This study aims to examine the impact of using ChatGPT on the Halal tourism experience. It examines the relationships among Halal-friendly travel motivations and satisfaction, revisit intention and electronic word-of-mouth (e-WoM) while testing the moderating effect of ChatGPT on the relationship between satisfaction and revisit intention.

This study employed a quantitative methodology. Using purposive sampling techniques, it approached about 800 tourists (from November 2023 to January 2024) from several halal tourism destinations in Indonesia. A total of 395 usable surveys were analyzed to test the relationships and moderation effects by SEM.

The study indicates that Halal-friendly travel motivations positively impact Muslim tourist satisfaction, which in turn influences e-WoM and revisit intention. Importantly, ChatGPT significantly moderates the relationship between satisfaction and revisit intention, thereby strengthening tourist loyalty for those using the AI tool.

The study’s findings provide practical guidelines for halal tourism providers to enhance Halal-compliant services and incorporate ChatGPT as an AI tool to boost Muslim travelers’ satisfaction, drive e-WoM and increase revisit intentions. AI technology gives Halal tourism companies an advantage in offering customized, immediate support, which leads to Muslim visitors becoming loyal.

The study fills a significant gap in the Halal tourism literature by examining AI’s impact on the market. It expands the Expectation-Confirmation Theory (ECT), the push-pull theory and word-of-mouth models in Halal tourism. It also contributes to AI adoption in Halal tourism by addressing how modern AI tools can influence tourist behaviors, improve satisfaction and encourage repeat visits.