Abstract:Objectives: This paper present a thorough understanding of bid evaluation process and assessment of innovation in road construction industry. Methods/Analysis: The research articles reviewed are based on topics of bid evaluation process, evaluation of bids in road construction industry, the indicators and techniques of bids evaluation, process of Bid evaluation in countries, innovation in road industry, and indicators of innovation in the context of road construction industry. Findings: It is widely accepted t… Show more
“…So again, girls are deprived because chances are quite low for them to have some practical experience with construction or buildings design in comparison to the boys [15]. The main focus on how to transform the construction industry is through building relationships between the industry itself and universities [16,17]. In the education process, ways to motivate workers should also be included because having qualified manpower is very important for the achievement of quality [18].…”
Section: A Female Engineers In the Construction Industrymentioning
Abstract-Female engineers go through different stages during their professional careers due to natural life processes and factors. In developing countries, it is not rare for managers to avoid hiring female engineers, due to these factors and the conservative belief that construction is a male-dominated industry. In Bosnia and Herzegovina (B&H) there are a few studies that refer to the motivation in the construction industry, but none that refer to the position of women in the construction industry and their motivation based on the selected demographic factors. This study aims to fill this research gap, utilizing quantitative research methods. The sample included female engineers of different profiles, working in the construction industry, who were required to fulfill the Multidimensional Work Motivation Scale (MWMS). The five considered demographic factors are age, family status, number of children, education level, and professional experience. The results of this research showed that family status does not affect any motivation dimension, whereas professional experience affects all motivation dimensions except the identified regulations. External–material regulations consist the most influential motivation dimension for female engineers in the construction industry in B&H, whereas amotivation, and introjected regulations were the least. It is recommended for managers and human resources to use the findings of this research in order to keep the female construction engineers motivated and satisfied in their workplace or to know what motivation dimensions to use during the hiring process.
“…So again, girls are deprived because chances are quite low for them to have some practical experience with construction or buildings design in comparison to the boys [15]. The main focus on how to transform the construction industry is through building relationships between the industry itself and universities [16,17]. In the education process, ways to motivate workers should also be included because having qualified manpower is very important for the achievement of quality [18].…”
Section: A Female Engineers In the Construction Industrymentioning
Abstract-Female engineers go through different stages during their professional careers due to natural life processes and factors. In developing countries, it is not rare for managers to avoid hiring female engineers, due to these factors and the conservative belief that construction is a male-dominated industry. In Bosnia and Herzegovina (B&H) there are a few studies that refer to the motivation in the construction industry, but none that refer to the position of women in the construction industry and their motivation based on the selected demographic factors. This study aims to fill this research gap, utilizing quantitative research methods. The sample included female engineers of different profiles, working in the construction industry, who were required to fulfill the Multidimensional Work Motivation Scale (MWMS). The five considered demographic factors are age, family status, number of children, education level, and professional experience. The results of this research showed that family status does not affect any motivation dimension, whereas professional experience affects all motivation dimensions except the identified regulations. External–material regulations consist the most influential motivation dimension for female engineers in the construction industry in B&H, whereas amotivation, and introjected regulations were the least. It is recommended for managers and human resources to use the findings of this research in order to keep the female construction engineers motivated and satisfied in their workplace or to know what motivation dimensions to use during the hiring process.
“…The idea of sustainable development in the construction industry is used at different levels. For example, sustainable design [1,2], construction and use of a building as environmentally friendly in relation to the entire life cycle of buildings [3,4], application of the possibility of substitution of construction products [5,6] utilization of waste [7] or recycled material [8]. In addition, safety and sustainability are also connected.…”
“…The too low bid price of the OE caused an over-budget that could actually be utilized for other construction work [8]. Similarly, the OE that are too low from the Budget Ceiling also causes an excess of budget that can actually be utilized for other construction work [9,10].…”
The significant difference between the owner estimate (OE) and the winning bid price (COGS) is expected to cause non-optimal use of the budget for transportation infrastructure development which indirectly causes hampering the acceleration of regional economic growth in a region. This study aims to analyze the differences that occur using mathematical models and parametric statistical analysis. The analysis was carried out on all transportation infrastructure projects in the East Java region from 2017 to 2021, namely 464 projects. The results of the analysis showed that a simple linear regression model was chosen to be the model that best describes the relationship between the owner estimate (OE) and the winning bid price (COGS). Parametric statistical analysis shows that the level of difference between the two variables is still within reasonable limits.
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