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Magnesium-aluminum layered double hydroxides (LDH) with a platelet-like morphology were synthesized through a modified co-precipitation method. The purpose of this paper is to investigate calcined Mg-Al-CO₃ LDH (CLDH) as chloride ion traps.

The morphology and chemical composition of the synthesized materials were studied through UHR-SEM, EDS, FT-IR and XRD. The chloride ion adsorption was confirmed by XRD; the characteristic diffraction peaks of the reconstructed LDH structure were revealed, similar to the one before the thermal treatment process. The effect of varying the experimental conditions on the chloride ion adsorption, such as the initial target-ion concentration, the adsorbent material dosage, the solution temperature and the solution pH was also investigated.

The experimental data fitting revealed that the Langmuir equation is a better model on the basis of correlation coefficients (R²) and that the pseudo-second kinetic model can satisfactorily describe the chloride ion uptake.

The ability of Mg-Al CLDH to recover their layered structure upon exposure to aqueous sodium chloride solutions with concentrations up to 0.3 M (10,636 mg/L) through the chloride adsorption and the simultaneous rehydration process is clearly demonstrated.

In the competitive e-marketplace today, sellers are using an increasing number of signals to entice customers to make online purchases. However, how differential these signals are in terms of their capacity to improve sales performance has not yet been investigated. The paper aims to discuss this issue.

Drawing on signaling theory and grounded in the context of China’s largest e-marketplace, Taobao, this study investigated the different effects of five commonly used signals on the sales performance of e-marketplace sellers.

The authors find that warranty has the highest effect on sales performance, followed by overall rating, mean detailed seller rating, percent of positives, and web site quality.

First, this study builds on signaling theory and contributes to the e-marketplace literature by providing new insights into how specific signals differentially affect sales performance in the e-marketplace (with evidence from a large-scale empirical analysis). Second, the study extends the applicability of signaling theory to the e-marketplace domain by incorporating distinctive features of the e-marketplace into the original signaling theory. Finally, the findings lend practical support to e-marketplace sellers’ investment decisions on signals and provide guidelines for deployment of such signals.

Mobile devices used in educational settings are usually employed within a collaborative learning activity in which learning takes place in the form of social interactions between team members while performing a shared task. The authors aim to introduce MobiTOP (Mobile Tagging of Objects and People), a mobile annotation system that allows users to contribute and share geospatial multimedia annotations via mobile devices.

Field observations and interviews were conducted. A group of trainee teachers involved in a geography field study were instructed to identify rock formations by collaborating with each other using the MobiTOP system. The trainee teachers who were in the field were guided by their lab counterparts on the tasks required to identify the rock formations.

Participants were able to appreciate the fieldwork task as it augmented their classroom lessons. The system allowed them to communicate with one another in order to meet the objectives of the study. However, there were some technical difficulties in relation to the affordance of the mobile and web applications that affected the usefulness of the applications.

This study reports the design and implementation of a mobile annotation system that was evaluated in an actual classroom setting. The results of this work have implications for both mobile applications design and mobile learning.

The purpose of this paper is to investigate the extent to which Web 2.0 applications are prevalent in government web sites, the ways in which Web 2.0 applications have been used in government web sites, as well as whether the presence of Web 2.0 applications correlates with the perceived quality of government web sites.

Divided equally between developing and advanced economies, a total of 200 government web sites were analysed using content analysis and multiple regression analysis.

The prevalence of seven Web 2.0 applications in descending order was: RSS, multimedia sharing services, blogs, forums, social tagging services, social networking services and wikis. More web sites in advanced countries include Web 2.0 applications than those in developing countries. The presence of Web 2.0 applications was found to have a correlation with the overall web site quality, and in particular, service quality.

This paper only covers government web sites in English. Emerging genres of Web 2.0 applications such as mashups and virtual worlds have not been included. Moreover the data were drawn solely from the public domain.

Decision makers and e‐government web developers may benchmark their own efforts in deploying Web 2.0 applications against this study. The numerous exemplars cited here serve as a springboard to generate more ideas on how Web 2.0 applications could be used and harnessed to improve the overall quality of government web sites.

This paper unites two research interests: Web 2.0 and web site quality. It also extends previous studies by investigating the suite of Web 2.0 applications found in government web sites around the world.

Fault tree analysis (FTA) is a technique widely used in the study of the reliability of industrial systems and to quantify risks associated with potentially hazardous systems. Most of the studies carried out are related to how to construct a fault tree and how to carry out qualitative and quantitative analysis. However, this paper studies an approach for prioritisation and optimum resource allocation by making use of the FTA technique. The basic idea is to develop a simple procedure for the ranking of basic elements in the complex system, so that maximum increase in reliability can be achieved. We compare our approach with the existing basic event importance measures, and show that the simple approach is easy to apply and provides ranking that is similar to other more complicated approaches. In addition, the new ranking approach can be used at the initial stages of fault tree construction as it does not require the whole fault tree to be completely developed.

Bayesian approaches have been widely applied in construction management (CM) research due to their capacity to deal with uncertain and complicated problems. However, to date, there has been no systematic review of applications of Bayesian approaches in existing CM studies. This paper systematically reviews applications of Bayesian approaches in CM research and provides insights into potential benefits of this technique for driving innovation and productivity in the construction industry.

A total of 148 articles were retrieved for systematic review through two literature selection rounds.

Bayesian approaches have been widely applied to safety management and risk management. The Bayesian network (BN) was the most frequently employed Bayesian method. Elicitation from expert knowledge and case studies were the primary methods for BN development and validation, respectively. Prediction was the most popular type of reasoning with BNs. Research limitations in existing studies mainly related to not fully realizing the potential of Bayesian approaches in CM functional areas, over-reliance on expert knowledge for BN model development and lacking guides on BN model validation, together with pertinent recommendations for future research.

This systematic review contributes to providing a comprehensive understanding of the application of Bayesian approaches in CM research and highlights implications for future research and practice.

The purpose of this study is to explore a sustainable hierarchical framework for the business environment in smart cities. However, this hierarchical framework must consider unnecessary attributes and interrelationships between criteria to capture the difference between smart cities and traditional cities.

Hence, the fuzzy set theory is used for screening unnecessary attributes, the decision-making and trial evaluation laboratory (DEMATEL) is applied to manage the complex interrelationships among the aspects and attributes and interpretive structural modeling (ISM) is used to divide the hierarchy and construct a hierarchical theoretical framework. Ultimately, this research is applied to develop a sustainable hierarchical framework of the business environment in smart cities.

The results show that traditional social problems are still at the core of business environment development in smart cities, new smart opportunities may be discovered, but they are still limited by traditional social factors, the economy is still the main aspect of the business environment and there are still obstacles to solving social problems with smart technologies.

This theoretical hierarchical framework aims to guide smart cities toward sustainability. This study also proposes creating a predictable business environment by improving administrative efficiency, transparency, social mobility and infrastructure services and cultivating new business opportunities with intelligent technology.

The construction industry is considered one of the most dangerous industries especially in developing countries such as Egypt. Although safety in Egypt is regulated by mainly four pivotal legislations, namely, Law No. 12 (2003) and Ministerial Decrees No. 211, 126 and 134, construction accident records in Egypt are high. Accordingly, this paper aims to develop a framework to activate the health and safety regulations in the Egyptian construction industry.

To achieve this aim, a research methodology consisting of a literature review and a survey questionnaire was developed to accomplish three objectives. First, a literature review was used to identify the causes of site accidents and strategies adopted in different countries to improve and enforce safety, safety roles of stakeholders. Second, a survey questionnaire was conducted with a representative sample of large- and medium-sized construction firms in Egypt to examine their perception of the causes of site accidents. Finally, a framework was developed to activate the health and safety regulations in the Egyptian construction industry.

The research identified 16 causes of construction site accidents. These causes were classified into three categories based on the party responsible for the occurrence of site accidents, namely, workers, organization management and government. Results of data analysis showed that “lack of housekeeping” and “lack of governmental inspection for safety” were ranked the highest causes of site accidents in the Egyptian construction industry, whereas “inefficiency of old safety equipment or no safety equipment at all” and “reluctance to input resources for safety” were ranked the least causes.

This research provides valuable information about the nature of the construction industry with a particular focus on site accidents, causes and impacts of construction site accidents. The study highlighted the safety roles of the Egyptian Governmental bodies in Egypt to improve and enforce safety. The research tackled a topic that received scant attention in construction literature especially in the Egypt context. The framework presented in this paper represents a synthesis that is important and adds value to the knowledge in a manner that has not previously occurred in the Egyptian construction industry.

Quality management in construction has received increasing attention in recent years. Numerous studies have been carried out which have highlighted the factors affecting quality of construction. Each study has contributed to identifying factors affecting quality. However, there is little published work that comprehensively addresses the factors specifically affecting the quality of Hong Kong public housing, which has long been criticized as having poor quality performance. This paper aims to identify the factors affecting the quality outcomes of public housing projects.

Potential quality attributes affecting quality performance was identified from the literature. A five‐page questionnaire was then developed to determine how these identified factors affect the quality scores of public housing projects. Factor analysis and multiple regression analysis were used to examine the data obtained from the questionnaire survey.

Analysis of 54 cases indicated that the project manager's experience in running public housing projects was the most important factor affecting the quality scores. Other important factors include a proactive quality culture; the extent of using direct skilled labour; a comprehensive subcontract inspection system; the competency of site labour, and the client's emphasis on quality, safety and environment.

The empirical results were based locally in Hong Kong, however, the lessons learnt are generally applicable. For future research the methodology adopted can be replicated elsewhere to facilitate international comparison of quality practices.

A predictive model for quality performance has been developed. The findings can assist project managers to better manage public housing projects and achieve higher quality performance.

The purpose of this article is to examine, appraise and highlight the significance of promoting innovation in aid of industrial development.

A comprehensive range of published literature is critiqued first to understand why industrial development constitutes a major objective of a country's economic strategy and government policy. Then, through a theoretical review of industrial policy works, relevant issues (e.g. how efficient industrial development sustains economic growth) are highlighted for discussion. For instance, the importance of private sector‐led industrial development and the need to adopt a primary focus on innovation‐driven industrial policy.

By drawing lessons from the developed world, the article explains why industrial policy‐making must address the pursuit of innovation as a prime mover of economic development; and further outlines the role of government in innovation‐driven industrial policy. As a case study, evolutionary perspectives of Singapore's industrialisation process are elaborated to illustrate a government's role in industrial policy‐making.

Future research could provide better guidance to address new emergent challenges of industrial policy‐making.

The discussion on industrial policy issues raised in this article is expected to be of interest to policy makers, industry planners, academic researchers and business practitioners.

This article offers insights into effective industrial policy‐making for developing nations that may help to transform their economies.