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The aim of this research is to examine if building information modelling (BIM) is feasible as an information management platform to determine a financially and environmentally affordable housing refurbishment solution based on the life cycle cost (LCC) and LCC calculation.

A case study in conjunction with BIM simulation approach using BIM tools (Autodesk Revit and IES VE/IMPACT) was adopted to identify the feasibility of BIM for the simultaneous formulation of LCC and life cycle assessment in housing refurbishment.

This research reveals that BIM is a suitable for the information management platform to enable construction professionals to consider trade-off relationship between LCC and life cycle assessment simultaneously, and determine the most financially and environmentally affordable refurbishment solution. The interoperability issues in data exchange among different BIM tools and unstandardized BIM object libraries with incomplete data sets of construction materials are recognised as the major shortcomings in a BIM system. Essential remedial actions to overcome the shortcomings in the current BIM tools are identified.

Actual housing information and various refurbishment materials for the BIM simulation are limited.

This research contributes to supporting construction professionals to prepare practical BIM adoption for the integration of the LCC and life cycle assessment that can significantly improve early decision-makings on sustainable housing refurbishment.

This research will contribute to providing proper remedial actions to overcome the shortcomings in the current BIM tools, and insights for construction professionals to understand the implication of BIM-embedded housing refurbishment.

The purpose of this study is to identify building information modelling (BIM) input data sets within a BIM-embedded housing refurbishment process and enable construction professionals to use BIM as an information management platform for housing refurbishment projects.

A hypothetical case study using BIM tools for a housing refurbishment project is adopted to identify BIM input data sets to create a housing information model within a BIM system. Reliability of the research outcome is examined by conducting a comparative analysis between existing and simulated research outcomes.

This research identifies essential BIM input data sets during the early design phase. The importance of a well-integrated housing information model containing accurate as-built condition, cost and thermal performance information is essential to use BIM for housing refurbishment. BIM can be feasible for housing refurbishment when an information-enriched housing information model is constructed. Furthermore, the capability of BIM that can enable key project stakeholders to determine the most affordable refurbishment solution among various alternatives is identified as BIM can provide reliable cost estimations and thermal performance of refurbishment alternatives at the early design stage.

The examined refurbishment processes and input data sets are confined to the early design phases as BIM use for housing refurbishment is limited.

This research will contribute to use BIM for housing refurbishment by providing essential BIM input data sets and BIM-embedded refurbishment processes.

This research reveals primary housing information data sets and BIM-embedded refurbishment processes at the early design phase.

The purpose of this paper is to identify primary housing information data set to make an informed decision for key stakeholders to determine the most cost effective refurbishment solution among various alternatives in a building information modelling (BIM) system.

A building simulation approach in conjunction with a hypothetical case study using BIM software (Autodesk Revit) was adopted to identify primary housing information data set and to examine how housing information data set is processed within a BIM system.

Housing information data set such as physical dimensions, energy performance, associated costs, risk level, weather data and other relevant data should be prepared at the outset of a project to determine the most cost effective refurbishment solution. Furthermore, BIM can enable both clients and construction professionals to make informed decisions about diverse climate risk resistant options by providing reliable cost estimations of them at the early design stage.

Actual housing information for the BIM simulation is limited, and as a result, hypothetical housing information based on the UK Government data were used instead.

This research will provide essential housing information data set to utilize BIM effectively and efficiently for refurbishing climate risk vulnerable housing.

This research explores possibility to utilize BIM for climate risk mitigation in the housing sector, and reveals primary housing information data set for BIM to develop a climate resistant housing refurbishment solution.

The purpose of this paper is to analyse international political economy (IPE) thought in Korea during its pre-modern and colonial eras.

It divides these eras into three periods. The first period is the eighteenth century, in which Silhak arose. The second is the mid- and late nineteenth century, a time characterised by conflicts between Wijeong-cheoksa and Gaehwa thoughts. The final period is that of colonial Korea under imperial Japan, and during this time economic nationalist movements were pursued while Marxist theories were also introduced to the country.

This research shows that IPE thoughts analogous to Western economic liberalism and economic nationalism did emerge endogenously in Korea when its environment was similar to those in which these Western thoughts arose, although in ways that reflected Korea’s peculiar situations of the times. This study also demonstrates that the “economic” thoughts of the Koreans in these periods were shaped largely by their political thoughts.

This research contributes to the building of a more “globalised” intellectual history of classical IPE thought.

This paper examines the determinants of corporate dividend policy in Jordan. The study uses a firm‐level panel data set of all publicly traded firms on the Amman Stock Exchange between 1989 and 2000. The study develops eight research hypotheses, which are used to represent the main theories of corporate dividends. A general‐to‐specific modeling approach is used to choose between the competing hypotheses. The study examines the determinants of the amount of dividends using Tobit specifications. The results suggest that the proportion of stocks held by insiders and state ownership significantly affect the amount of dividends paid. Size, age, and profitability of the firm seem to be determinant factors of corporate dividend policy in Jordan. The findings provide strong support for the agency costs hypothesis and are broadly consistent with the pecking order hypothesis. The results provide no support for the signaling hypothesis.

Purpose – The purpose of the research was to examine the process of new teacher evaluation policy development in South Korea, in order to gain insight into how a controversial policy could be established in education. Research questions were about the process of the policy development, political actors involved and their influences, and the meaning of teacher evaluation in the newly established teacher evaluation policy.Methodology – The study uses a qualitative and descriptive-analytical process from a hermeneutics perspective that views policy as text to be interpreted. This perspective allows policy to be connected to a larger social context through interpretations of text. The main data sources included policy documents, statements by various organizations, research reports, and public media artifacts produced between 2000 and 2012. For data analysis, constant comparison and content analysis methods were used.Findings – The findings show that the process of developing a teacher evaluation system demonstrated an unsuccessful attempt to apply the Habermasian notion of discursive democracy. Relevant stakeholders were invited to deliberate on the reform, but official meetings ended prematurely without consensus. In the end, the government proceeded without full support of any stakeholders. During the deliberation process, teacher organizations and parent groups demonstrated conflicting perspectives on teacher work and the new evaluation system only partially accommodated both perspectives. The effectiveness of the new evaluation system remains to be researched.Value – The policy development process and the evaluation system shown in this study should inform similar efforts in other contexts.

Total risk score (TRS) is considered one of the main indicators for risk evaluation. Several studies attempted to employ different types of risk indices for the evaluation of cost overrun causes. Hence, this study aims at performing a comparative analysis to evaluate the efficiency of three different approaches for TRS calculation.

Thirty-eight unique causes of cost overrun in urban-related construction projects were identified and a survey was conducted among construction professionals in Iran. The TRS for each cost overrun cause is calculated using single-attribute (SA), double-attribute (DA), and multiple-attribute (MA) approaches, and eventually, causes were ranked. Furthermore, principal component analysis (PCA), logistic regression analysis (LRA), and K-means clustering are utilized to compare the differences in the generated TRS using different approaches.

The results revealed that the TRS generated through the MA approach demonstrated the highest efficiency in terms of generating correlation between causes and their identified latent constructs, prediction capability, and classification of the influential causes in the same group.

The originality of this study primarily stems from the adoption of statistical approaches in the evaluation of the recently introduced TRS calculation approach in comparison to traditional ones. Additionally, this study proposed a modified application of the relative importance index (RII) for risk prioritization. The results from this study are expected to fulfill the gap in previous literature toward exploring the most efficient TRS calculation approach for those researchers and practitioners who seek to utilize them as a measure to identify the influential cost overrun causes.

This paper aims to identify the unidimensionality and reliability of 84 factors that influence the performance of construction projects and develop a confirmatory factor analysis (CFA) model.

The study adopted a deductive research approach and started by identifying the positive factors that influence construction project performance. This was followed by the modification of the identified factors. After that, a questionnaire was developed out of the factors for data collection. Exploratory factor analysis was used to establish the factor structure of the positive factors, and this was verified using CFA afterwards. A model fit analysis was performed to determine the goodness of fit of the hypothesised model, followed by the development of the confirmatory model.

The study demonstrated substantial correlation in the data, sufficient unidimensionality and internal reliability. In addition, the estimated fit indices suggested that the postulated model adequately described the sample data.

The paper revealed that performance can be enhanced if stakeholders identify and leverage the positive factors influencing performance. The paper suggests that project stakeholders, particularly government, project owners, consultants and construction firms, can improve project performance by critically examining economic and financial systems (EFS), regulation and policy-making systems (RPS), effective management practices (EMP) and project implementation strategies (PIS).

The contribution of this paper to the present literature is identifying the positive factors and developing the confirmatory factor model. The model comprised 42 positive variables under four indicators: EMP, RPS, PIS and EFS.