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In 2022, the International Network for Quality Assurance (QA) Agencies in Higher Education (INQAAHE) published the new guidelines by adding three QA modules in response to the changing higher education landscape. The paper aims to investigate the transformative focus of quality assurance in higher education globally as well as Asian response to three new QA modules according to the INQAAHE ISGs.

The research conducted a quantitative approach for data collection. An on-line survey was conducted to perceive QA practices, perceptions toward new emerging QA modules and challenges encountered. In total, there were 26 responses from 18 territories with 22 QA agencies. A total of 13 out of them have a national qualifications framework in place.

Three are three major findings in the study. First, national policy and criteria and standards in distance education have been developed in the majority of Asian nations. Second, non-signatories of the Tokyo Convention had a higher proportion of having related policies, regulations and criteria in CBHE and distance education. Third, national policies and regulations; and lack of professional staff are two common challenges implementing QA in new types of providers.

The findings are of value for policymakers, QA agencies and universities to advocate the new QA model as a systematic approach in response to changing higher education landscape in the post pandemic era.

The evolution of crowd intelligence is a mainly concerns issue in the field of crowd science. It is a kind of group behavior that is superior to the individual’s ability to complete tasks through the cooperation of many agents. In this study, the evolution of crowd intelligence is studied through the clustering method and the particle swarm optimization (PSO) algorithm.

This study proposes a crowd evolution method based on intelligence level clustering. Based on clustering, this method uses the agents’ intelligence level as the metric to cluster agents. Then, the agents evolve within the cluster on the basis of the PSO algorithm.

Two main simulation experiments are designed for the proposed method. First, agents are classified based on their intelligence level. Then, when evolving the agents, two different evolution centers are set. Besides, this paper uses different numbers of clusters to conduct experiments.

The experimental results show that the proposed method can effectively improve the crowd intelligence level and the cooperation ability between agents.

This paper proposes a crowd evolution method based on intelligence level clustering, which is based on the clustering method and the PSO algorithm to analyze the evolution.

The aim of this paper is to analyze the interrelationship between film-induced tourism and visits to theme parks by tourists and examine the most viewed movies worldwide (2010–2022) which are related with theme parks and their attractions.

The methodology used in this study is a set of qualitative and quantitative indicators for measuring the most visited theme parks worldwide and the most viewed movies that have allowed to answer the research questions.

This research provides a new contribution to tourism and entertainment industries. Results have shown that film-induced tourism can be the perfect marketing tool to attract more tourists to theme parks through movies and their real or fictional characters represented in films such as Marvel, Minions, Avatar, Harry Potter and Disney, amongst many others. These famous characters are part of theme park’s rides to attract tourists to visit film theme parks These rides allow users to travel in a fantasy experience and interact with film characters of cartoons or fictions. There is a high correlation between film-induced tourism and theme parks’ attractions. Film-induced tourism provides great benefits to the society, theme parks, cinemas and tourist destinations. Indeed, movies help to increase the number of visitors to theme parks. In 2019, 215 million people visited the top 20 theme parks worldwide analyzed in this study, this figure is quite lucrative to entertainment and tourism sectors, local and regional economies where these theme parks are localized.

This study presents the importance of theme parks at tourist destinations because theme parks are an extension of movies, thus is, the end of the physical perfect experience at theme parks which began in a movie seat or on your TV/videogame/PC screens.

本文的主要目的是分析电影引起的旅游和游客参观主题公园之间的相互关系, 并研究与主题公园及其景点有关的全球最受欢迎的电影（2010-2022年）。

本研究使用的方法是一套定性和定量的指标来衡量全球访问量最大的主题公园和观看次数最多的电影, 使我们能够回答本研究中提出的问题。

这项研究为旅游和娱乐业提供了新的贡献, 结果表明, 电影引起的旅游可以成为完美的营销工具, 通过电影及其影片吸引更多的游客到主题公园。通过电影和他们在电影中所代表的真实或虚构的人物, 如漫威、小人、阿凡达、哈利波特、迪斯尼等, 主题公园。这些著名人物是主题公园景点的一部分, 以吸引游客参观与电影有关的景点。这些景点让游客有一个幻想的体验, 并与卡通人物互动。电影引起的旅游和主题公园景点之间存在着高度的相关性。我们必须认识到, 电影引发的旅游为社会、主题公园、电影院和旅游目的地提供了巨大的利益。事实上, 电影有助于增加主题公园的游客数量。2019年, 有2.15亿人参观了本研究中分析的世界前20大主题公园, 这个数字对于娱乐和旅游部门、这些主题公园所在的地方和区域经济来说是相当有利可图的。

本研究揭示了主题公园在旅游目的地的重要性, 因为这些旅游景点是电影的延伸, 也就是说, 主题公园及其基于电影和动画的景点是游客在主题公园生活体验的最后一部分, 而这种体验是从电影院的座位上、电视、视频游戏或电脑屏幕前开始的。

El principal desafío de este artículo es analizar la interrelación entre el turismo inducido por las películas y las visitas a los parques temáticos por parte de los visitantes, y examinar las películas más vistas en todo el mundo (2010-2022) relacionadas con los parques temáticos y sus atracciones.

La metodología utilizada en este estudio es un conjunto de indicadores cualitativos y cuantitativos para medir los parques temáticos más visitados a nivel mundial y las películas más vistas que nos han permitido responder a las preguntas planteadas en esta investigación.

Esta investigación proporciona una nueva contribución a las industrias del turismo y el entretenimiento. Los resultados han demostrado que el turismo inducido por el cine puede ser la herramienta de marketing perfecta para atraer más visitantes a los parques temáticos a través de películas y sus personajes reales o ficticios representados en películas como Marvel, Minions, Avatar, Harry Potter, Disney, entre muchos otros. Estos personajes famosos son parte de las atracciones de los parques temáticos para atraer a los visitantes a visitar las atracciones relacionadas con las películas. Estas atracciones permiten a los visitantes tener una experiencia de fantasía e interactuar con personajes de películas de dibujos animados o ficción. Existe una alta correlación entre el turismo inducido por el cine y las atracciones de los parques temáticos. Debemos reconocer que el turismo inducido por el cine ofrece grandes beneficios a la sociedad, parques temáticos, cines y destinos turísticos. De hecho, las películas ayudan a aumentar el número de visitantes a los parques temáticos. En 2019, 215 millones de personas visitaron los 20 parques temáticos más importantes del mundo analizados en este estudio, esta cifra es bastante lucrativa para los sectores de entretenimiento y turismo, y la economía local y regional donde se encuentran estos parques temáticos.

Este estudio revela la importancia de los parques temáticos en los destinos turísticos, dado que estas atracciones turísticas son una extensión de las películas, es decir, los parques temáticos y sus atracciones basadas en películas y animaciones son la parte final de una experiencia vivida por los visitantes en dichos parques y que comenzó en un asiento de cine, frente a su TV, un videojuego, o pantalla de ordenador.

Global climate change speeds up ice melting and increases flooding incidents. China launched a sponge city policy as a holistic nature-based solution combined with urban planning and development to address flooding due to climate change. Using Weibo analytics, this paper aims to study public perceptions of sponge city.

This study collected 53,586 sponge city contents from Sina Weibo via Python. Various artificial intelligence tools, such as CX Data Science of Simply Sentiment, KH Coder and Tableau, were applied in the study.

76.8% of public opinion on sponge city were positive, confirming its positive contribution to flooding management and city branding. 17 out of 31 pilot sponge cities recorded the largest number of sponge cities related posts. Other cities with more Weibo posts suffered from rainwater and flooding hazards, such as Xi'an and Zhengzhou.

To the best of the authors’ knowledge, this study is the first to explore the public perception of sponge city in Sina Weibo.

This paper applies the decomposition method proposed by Wang et al. (2013), together with the multi-national input-output tables from World Input-Output Database (WIOD) to estimate the value-chain transition in East Asian production network. Specifically, we calculate and examine the domestic value-added absorbed abroad, foreign value-added embodied in country’s gross exports, and vertical specialization measures to explore the relative positions of major East Asian countries in the global production chain over the period of 1995-2011. The analyses are at country-aggregate, country-sector, bilateral-aggregate and bilateral-sector levels. Based on our results, we answer the important question of whether Taiwan and South Korea have used China’s production chains as an intermediary to re-export their products to other countries in the world. Furthermore, we answer the question that over the 1995-2011 periods, have Taiwan and South Korea exploited cheap labor from China to add value to their products before re-exported them to the rest of the world?

In this paper the authors aim to argue that the existence of a strong corporate governance mechanism (a formal credibility-enhancing mechanism) and the presence of a more trustworthy-looking CEO (an informal credibility-enhancing mechanism) are substitutes.

By using machine-learning-based facial-feature-point detection technique, the authors construct a proprietary facial-trustworthiness database for a large-scale of CEOs in the US listed companies. First, the authors manually search for qualifying CEO image from websites and annual reports. Second, by following the neuroscience and psychology literature, the authors use the machine-learning-based face detector to identify the facial features in the CEO photos to calculate a rich and reliable set of facial-trustworthiness measures. The authors then construct a composite facial-trustworthiness index for each CEO. After obtaining accounting data, the authors’ final sample comprises 16,201 firm-year observations for 3,186 CEOs in the sample period of 2000-2018.

The results of the authors’ regression analyses show a negative association between board monitoring intensity and CEOs' facial trustworthiness, indicating that board directors may factor CEOs' facial trustworthiness into their monitoring decisions. Moreover, the authors find that these results are mainly driven by CEOs whose tenure is below the third quartile (i.e. eight years). The authors further find stronger results for externally hired CEOs than internally promoted CEOs. Finally, the authors’ results remain robust when using change models or subsample of CEO photos in recent years.

First, to the best of the authors’ knowledge, this is the first study that adopts a large sample to provide systematic evidence on the directors' use of facial trustworthiness. This study extends the literature by documenting the impacts of CEOs' individual characteristics on the board monitoring intensity. Second, the results of this study emphasized the important role of perceptions based on executives' facial appearance in firm valuation, executive compensation and audit fee, and by presenting empirical evidence that CEOs' facial trustworthiness affects board monitoring intensity. Third, this study responds to the call for research on personalized trust by Hsieh et al. (2020).

Current methods for flow field reconstruction mainly rely on data-driven algorithms which require an immense amount of experimental or field-measured data. Physics-informed neural network (PINN), which was proposed to encode physical laws into neural networks, is a less data-demanding approach for flow field reconstruction. However, when the fluid physics is complex, it is tricky to obtain accurate solutions under the PINN framework. This study aims to propose a physics-based data-driven approach for time-averaged flow field reconstruction which can overcome the hurdles of the above methods.

A multifidelity strategy leveraging PINN and a nonlinear information fusion (NIF) algorithm is proposed. Plentiful low-fidelity data are generated from the predictions of a PINN which is constructed purely using Reynold-averaged Navier–Stokes equations, while sparse high-fidelity data are obtained by field or experimental measurements. The NIF algorithm is performed to elicit a multifidelity model, which blends the nonlinear cross-correlation information between low- and high-fidelity data.

Two experimental cases are used to verify the capability and efficacy of the proposed strategy through comparison with other widely used strategies. It is revealed that the missing flow information within the whole computational domain can be favorably recovered by the proposed multifidelity strategy with use of sparse measurement/experimental data. The elicited multifidelity model inherits the underlying physics inherent in low-fidelity PINN predictions and rectifies the low-fidelity predictions over the whole computational domain. The proposed strategy is much superior to other contrastive strategies in terms of the accuracy of reconstruction.

In this study, a physics-informed data-driven strategy for time-averaged flow field reconstruction is proposed which extends the applicability of the PINN framework. In addition, embedding physical laws when training the multifidelity model leads to less data demand for model development compared to purely data-driven methods for flow field reconstruction.

Labour productivity in construction has fallen behind other industries in most of the world and has declined continuously for decades. Although several scholarly research projects have been conducted to salvage the prevalent low labour productivity in construction, contractors in the construction industry have continued to grapple with the devastating impact of low productivity. The purpose of this study is to determine key areas of focus necessary to promote productivity growth in construction.

Bibliometric and scientometric assessments were conducted to map the existing construction labour productivity (CLP) studies and establish key focus areas in the research domain. The keywords “Construction Productivity” OR “Construction Labour Productivity” OR “Construction Labor Productivity” OR “Construction Worker Productivity”.

Emerging trends in the CLP research field are reported. The study also determined the most productive authors and collaboration among authors, most productive journals, most active regions and publications with the highest impact in CLP research.

Documents published in the Scopus database were considered for analysis because of the wider coverage of the database. Journal and conference articles written in English language represent the inclusion criteria, while articles in press, review, book chapters, editorial, erratum, note, short survey and data paper were excluded from analysis. The study is also limited to documents published from 2012 to 2021.

The study brought to the awareness of the industry practitioners and other construction stakeholders, the key knowledge areas that are critical to promoting productivity growth in construction.

Except bibliometric analysis, previous research studies have used different approaches to investigate productivity in construction. The study presented future research directions through the emerging knowledge areas identified in the study.

This study examined the effectiveness of a 4.5-day service leadership program for students from Chinese universities using objective outcome evaluation. The participants were assessed before and after the program, with two post-test measurements (immediate assessment and assessment 12 days after the completion of class learning). At pretest and two posttest time points, the participants completed a questionnaire measuring positive youth development, service leadership qualities and beliefs, and life satisfaction. Results showed that students’ performance in both the immediate posttest and follow-up test was better than that in the pretest. Despite the limitations of the one-group pretest-posttest design, results suggest that the curricular-based service leadership program was effective to promote students’ positive youth development, service leadership qualities and beliefs, as well as life satisfaction, and the effectiveness maintained a short period after the class had ended. While the existing findings are promising, these findings should be replicated in the future.

In recent years, the proliferation of free trade agreements (FTA) has led to rapid economic boons and political security among nations. This study investigates whether the percentage of expats or permanent foreign residents plays a role in deciding which countries to partner with in bi-lateral FTAs. Previously, the reasons for FTA formation were believed to be primarily based upon economic, geographic, and political reasons. However, through the use of social network analysis, a larger picture can be mapped which allows for a more comprehensive understanding of key players in the current state of FTA formation in relation to the immigrant network that they share between them. More specifically, through computerized social network analysis, centrality can be calculated to determine the key players and the most central immigrant populations. When analyzing both the immigrant centrality in relation to FTA centrality, it becomes evident that there is a high correlation between the two factors. Thus, the findings highlight that immigration trends can be used as a predictor of FTA formation. As a result, it emphasizes the weight of immigration policy on the formation of bi-lateral FTAs.