Cost overrun has remained a key risk of construction projects that can be prevented by utilizing new technologies. This paper aims to identify the gap in the literature, which can potentially be addressed by using digital tools and technologies, by reviewing the current and state of the art practices. The paper presents the results of a systematic and critical content reviews on cost overruns, to address the question of what factors are affecting the cost overrun. This paper also reviews how building information modeling (BIM) in conjunction with other tools, such as the common tools in the Asia and Asia Pacific regions, are used for cost estimation and monitoring. The paper presents the results of the content review, including their contributions and limitations, which are also used to set key directions for future investigations. A total of 176 papers was identified to develop the construction cost management (CCM) dataset. The method was a mix of systematic reviews, including co-authorship network analyses, co-occurrence analytical map development covering 5671 keywords, and content analysis including theme identification and a critical review of selected papers. The paper critically reviewed 63 selected papers from CCM, which are divided into four clusters based on their scopes: BIM adoption for cost estimation and quantity surveying; BIM implementation for a bill of quantity, risk paths, and cost overruns; cost control and management; and, finally, BIM, virtual design, and value management. A trend analysis using a set of 16 themes (e.g., 3D model, BIM, Decision, Energy, and Life Cycle) for all the papers over the past ten years was developed. The content of each cluster of papers was reviewed based on the frequency of the selected themes in each cluster. The content of each cluster of papers was also reviewed critically and gaps were identified, so a set of directions for future investigations are presented.

This paper examines the nexus between economic growth and energy consumption shock, over the period 1990-2020, in Iran. We employ a Bayesian vector autoregressive (BVAR) with new prior functions, which will give results more acceptable consequences...

The certainty about retirement income is dependent on the longevity and the selected investment policy by individuals during their working years. Attention to longevity and investment risks is of high significance in making enough income for retirees. In this research, the impact of the objective formulation selection on investment decisions has been investigated. Two functions including terminal wealth objective formulation and retirement income objective formulation are applied to investigate these decisions. Based on the investment alternatives, 5 asset classes including Equity, Certificate of deposit (cash), real estate investment trust (REIT), gold coin, and foreign exchange have been selected for investment. According to the complexity of modeling in the aforementioned functions, the Metaheuristic Genetic algorithm has been used. The results are indicative of the importance of objective formulation selection. The retirement income objective function has the nature of more wealth accumulation and more control over economic and market turbulences through higher cooperation in investment and as a result, it has been recommended as the optimal function.

It has been widely stated in the theoretical literature that political connections increase the value of organizations. Political connections may have both a positive and negative effect on the performance of the bank. Politically connected banks may have better access to financing, timely liquidity support from the central bank or banks which are connected with other political organizations and reduction in the pressure of legal authorities if such a reduction is possible, such as the easy passage of legal inspection. A politically connected bank can also use communications to exchange assistance to achieve the organization's goals. Therefore, answering the question of whether banks' political connections have a positive or negative impact on their financial performance cannot be answered with certainty. This study attempts to investigate the effects of interactions between politically connected CEO (PCCEO), independent directors, and credit risk of banks in an emerging country context where corporate governance systems appear weak. In this study, to collect the required data, we use the information database of Codal publishers for the listed banks in the Tehran Stock Exchange and the information existing in the performance report of the Iranian banks for public banks that collected by the Iran Banking Institute. For the investigation of this issue, we employ the SGMM method (System Generalized Method of Moments) or in other words, dynamic GMM approach, and we find politically connected boards to exert significant influence on credit risk.