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Discussion of religion and education continues to evoke conceptions of confessional teaching; however, research and educational practices in recent decades illustrate an expanded understanding that relates to the teaching of, about, and from religion across formal and non-formal educational spaces in secular and religious spheres. An expanded understanding also illustrates various intersections between religion and education that extend beyond religious or non-sectarian instruction, to include everything from the recognition and accommodation of religious student identities in K-12 public school settings, to the internationalization of religious higher education. Drawing on the Comparative and International Education Society’s Religion & Education Special Interest Group’s programing and activities, this paper aims to present a brief summary of trends observed both in research and practice concerning religion and education among educators worldwide, and highlights the place of religion in our growing recognition of intersectionality, one that occurs between academics and the community.

Since its development by Tinbergen (1962), the gravity model of international trade has widely been applied to analyse the effect of various factors on trade relationships between countries. Past studies on trade gravity vary not only in the mix of model variables but also in how they have come into the analysis. This study reviews existing literature on bilateral trade with an aim to identify influential predictors such as changes of trade policy and national development strategy and highlight important yet understudied factors such as transport and logistics infrastructure, and sustainable development. To demonstrate the needs to examine these critical factors across industry sectors, the study presents the case of textiles and clothing (T&C) production and trade between China and its trading partners as an illustration. Through the literature review, it shows how the gravity model can be applied to address current issues in international trade arena such as the potential trade war between the US and China, China’s Belt and Road Initiative (BRI), and other important factors shaping global T&C trade. This study offers future research directions for analysis of global trade in the T&C industry and contributes to the wider literature of international business and trade.

Chinese tourists have become the greatest driving force behind global tourism. An increasing number of luxury fashion brands regard these tourists as a potentially significant segment of status-conscious consumers. Yet a limited number of marketing studies have addressed the significance of the intrinsic motivation that drives these tourist consumers to consume luxury goods. This study investigates the significant intrinsic factors that affect the luxury goods buying behavior of tourist consumers. Data are collected from 284 tourist consumers and analyzed by using the exploratory factor analysis (EFA) and cluster analysis. The EFA purified the measurement instruments to four factor attributes, namely, self-satisfaction, possession obsessiveness, status consciousness and personal differentness. The cluster analysis identified three groups of tourist consumers with distinctive behavioral segmentation criteria: ‘shopping hedonists’, ‘ego-defended achievers’ and ‘conspicuous fashionistas’. These findings provide managerial implications for building sustainable luxury businesses and competitive strategies tailored for tourist consumers.

With growing concern about sustainable development and increased awareness of environmental issues, digital technologies (DTs) are gaining prominence and becoming a promising trend to improve productivity, sustainability and project performance in the construction industry. Nonetheless, the uptake of DTs in the construction industry has been limited and plagued with roadblocks. This study aims to identify critical barriers for construction organisations to adopt DTs and to demonstrate relationships between organisational characteristics and the perceived DTs adoption barriers.

This study adopted an explanatory sequential design by combining the advantages of quantitative and qualitative data. Data collection methods include literature review, a pilot study, questionnaire survey, and semi-structured interviews. Questionnaire data were analysed by using SPSS and multivariate regression technique. The interview data were processed by using content analysis to validate and supplement findings from the questionnaire.

Based on the survey and interview results, eight critical barriers were identified: the three top critical barriers are (1) “status quo industry standards”, (2) “lack of client interest” and (3) “lack of financial need/drive for using DTs”. The eight critical barriers were further classified into technical, environmental, and social dimensions to determine the major constructs that hinder DTs adoption. A theoretical framework articulating critical barriers with underlying components and root causes was also proposed. Furthermore, by using multivariate regression analysis, a model was developed to link the organisational characteristics with barriers to DTs adoption.

By referring to the framework and the model developed, academics, industry practitioners, and decision makers can identify pivotal areas for improvement, make informed decisions and implement remedial measures to remove the barriers to digitalisation transformation.

This study contributes to the literature on construction innovations by investigating barriers to DTs adoption holistically as well as perceptions of the impact of organisational attributes on these barriers. It establishes the groundwork for future empirical research into the strategic consolidation of movement of DTs adoption and diffusion.

The present study aims to suggest a new approach to hotel quality rating, specifically designed for the business travel segment, where the evaluation of surveyed consumers (business travelers) does not necessarily reflect the priority of customers (corporate travel departments [CTDs]).

Preliminarily, the authors defined key areas (domains), exploring what was done by quality certifiers recognized worldwide. Then, each domain quality was considered as a latent variable measured by a set of observable attributes (sub-domains) surveyed by a professional assessor. A continuous, fine-grained, composite indicator (CI) for quality was finally obtained by a weighted average of the domain (latent) quality measures. Weights were endogenously determined by data envelopment analysis.

The suggested CI shows both the existence of large quality disparities within the same star rating and a relevant bias in the internet reviews. A “soundproofed” room, a front desk open 24 h with sufficient staff and an adequate urban context are necessary features of any business hotel.

Data came from a professional assessor’s database; therefore, the authors could only consider a three-domains measurement model. The database is mainly composed of three- and four-star hotels in Italy; nonetheless, these accommodations are the most widespread in the Italian corporation hotel programs, preserving the practical utility of the results.

This study provides a transparent (replicable) evaluation protocol that is of potential use in the most popular models for quality measurement; any assessor can use it to underline its impartiality to CTD and assessed hotels.