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Informed by acoustic design standards, the built environments are designed with single reverberation times (RTs), a trade-off between long and short RTs needed for different space functions. A range of RTs should be achievable in spaces to optimise the acoustic comfort in different aural situations. This paper proclaims a novel concept: Intelligent passive room acoustic technology (IPRAT), which achieves real-time room acoustic optimisation through the integration of passive variable acoustic technology (PVAT) and acoustic scene classification (ASC). ASC can intelligently identify changing aural situations, and PVAT can physically vary the RT.

A qualitative best-evidence synthesis method is used to review the available literature on PVAT and ASC.

First, it is highlighted that dynamic spaces should be designed with varying RTs. The review then exposes a gap of intelligently adjusting RT according to changing building function. A solution is found: IPRAT, which integrates PVAT and ASC to uniquely fill this literature gap.

The development, functionality, benefits and challenges of IPRAT offer a holistic understanding of the state-of-the-art IPRAT, and a use case example is provided. Going forward, it is concluded that IPRAT can be prototyped and its impact on acoustic comfort can be quantified.

This study explored the current and desired use of web-search, particularly for health information, by adults with intellectual disability.

The authors surveyed 39 participants who were in supported employment or attending day centers in Australia. The survey, delivered through structured interviews, increased participation with data in a form of the participants' narratives. The responses were analyzed through a form of thematic analysis.

This study's results present the participants' daily health information interests, approaches to finding information and expectations for self-sufficiency. Participants' interest was in information to stay healthy rather than purely clinical information. The participants were keen to use online information in, accessible as well as entertaining and engaging formats. Supporting others close to the participants was the prominent intention of participants' health information access. Participants showed aspirations for an autonomous life by wanting to learn how to search.

The findings of this study provide some avenues for consumer health information access to be respectful and inclusive of users with intellectual disability, both from an accessible design perspective as well as from a learning and support standpoint.

This study complements other human–computer interaction (HCI) studies which observe how adults with intellectual disability can be supported to engage with web search; this study offers the adults' verbalized perspectives on how adults wish to interact with web searching for health information, nuanced by adults' existing abilities and support needs.

Several post-disaster housing extension and modification studies have indicated that owner-driven modification behavior relates to socio-economic and livelihood factors. This study aims to clarify housing extension patterns and examine the relationships among spatial characteristics, sociocultural factors, livelihood factors and housing extensions. This research also highlights the implications of post-disaster housing design for indigenous communities.

An indigenous community case study was conducted using a literature review. Moreover, interview surveys and housing measurements were implemented based on purposive sampling to diversify interviewees’ backgrounds and the extent of housing extensions.

This study confirms that housing extensions are closely related to the number of household members and their associated functions and cultural and livelihood factors that were ignored during the design stage. Furthermore, the housing extension process was confirmed to match households’ economic recovery. A post-disaster housing implementation framework for the indigenous population is proposed.

This research only targeted one indigenous community with a limited number of interviewees and samples because of the connection with households.

The study’s proposed resilience post-disaster housing framework can be used to develop post-disaster housing design guidelines, which can benefit policymaking. The proposed participatory concept can be further adopted in future disaster risk-reduction programs.

This study uniquely focuses on the pre- and post-disaster housing layout and the livelihood of an indigenous community. It offers valuable insights for post-disaster reconstruction planners and practitioners.

This study aims to explore the dimensional structure of hotel digital intelligence capability and develop a measurement scale.

This study adopts qualitative and quantitative approaches to conduct an exploratory inquiry into the structural dimensions of hotel digital intelligence capability with the help of grounded theory. Based on this, several questionnaires were developed to test the measurement scale and verify its validity.

The results reveal that hotel digital intelligence capability comprises four dimensions: data collection and processing capability, customer service personalization capability, digital intelligence decision support capability and sustainable development capability. The measurement scale consists of four factors and 13 items, with reliability and validity tests demonstrating ideal levels.

This study not only provides a new perspective to understand hotel digital intelligence capability but also develops a corresponding measurement scale, laying a solid theoretical basis for hotel managers to scientifically evaluate this capability to achieve sustainable competitive advantage.

本研究旨在探索酒店数智化能力的维度结构，并开发其测量量表

本研究采用定性和定量的方法，对酒店数智化能力的结构维度进行探索性研究。在此基础上，编制了调查问卷以检验量表并验证其有效性

研究结果表明，酒店数智化能力包括四个维度：数据收集与处理能力、客户服务个性化能力、数智化决策支持能力以及可持续发展能力。测量量表由四个因子和13个条目组成，信度和效度测试表明其达到了理想水平

本研究不仅为理解酒店数智化能力提供了新的视角，还开发了相应的测量量表，为酒店管理者科学评估该能力以实现可持续竞争优势奠定了坚实的理论基础

The purpose of the study is to fill a gap in the literature on mathematical production planning (joint balancing and sequencing) in the fashion industry. It considers in particular situations of mass customization, made-to-measure or small lot sizes.

The paper develops a mathematical model based on product options and attributes instead of fixed variants. It proposes an easy-to-use genetic algorithm to solve the resulting optimization problem. Functionality and performance of the algorithm are illustrated via a computational study.

An easy-to-implement, yet efficient algorithm to solve the multi-objective implementation of a problem structure that becomes increasingly relevant in the fashion industry is proposed. Implementation of the algorithm revealed that the algorithm is ideally suited to generate significant savings and that these savings are impervious to problem and thus company size.

The solutions from the algorithm (Pareto-efficient frontier) offer decision-makers more flexibility in selecting those solutions they deem most fitting for their situation. The computational study illustrates the significant monetary savings possible by implementing the proposed algorithm to practical situations.

In contrast to existing papers, for the first time, to the best of the author’s knowledge, the focus of the joint balancing and sequencing approach has been applied in the fashion instead of the automotive industry. The applicability of the approach to specific fields of the fashion industry is discussed. An option and attributes-based model, rarely used in general assembly line sequencing per se, is used for more flexibility in representing a diverse set of model types.