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Feasibility studies and their effects on the success or failure of investment projects. “Najaf governorate as a model”

  • Bashar Rasheed M. Alhamami EMAIL logo , Yasser Sahib Nassar and Laith Mashkoor Rasheed Qendeel
Published/Copyright: September 28, 2023
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Abstract

A feasibility study is considered a strategic tool, a critical principle, and an essential stage of the success of the investment project, and it is regarded as an essential point in the success or failure of the investment project. Therefore, feasibility studies are among the most critical elements of the success of investment projects. The purpose of this study is to find out the reality of the feasibility study in the various departments of the state and its impact on the success or failure of investment projects, in addition to studying, identifying, and analyzing the factors that affect the feasibility study in investment projects. In this research, 23 influential factors were collected from site surveys, interviews with engineers and experts, and previous research in the Arab world. These factors are grouped into five categories: political and legal aspects, economic and financial, consultancy, owner, and contractor. A questionnaire survey of 70 respondents was distributed among different experts. A statistical analysis was done using SPSS and Excel packages. The results accomplished from the survey revealed the significant factors that affect the feasibility study (ranked respectively), namely, the absence of a clear investment policy (86%), the existence of obstacles (85.71%), slow and complicated routine procedures (84%), lack of experience and field knowledge (82.29%), and failure to accurately meet the scientific (79.71%) These findings could help the construction professionals to improve the feasibility study and project performance in Iraq.

1 Introduction

Many studies and research in this field have shown that one of the most important reasons for the failure of public and private investment projects is the weak awareness of the authorities responsible for the investment of the importance of feasibility studies and their leniency in providing the conditions and foundations that must be prepared and considered as one of the formal requirements for granting investment licenses as well as the absence of standards based on which the investor is differentiated. The research originality of this research is the study and analysis of the reality of stalled investment projects in Najaf and the study of its main reasons.

Early in the 1960s, the terms “feasibility study” and “feasibility analysis” were coined in the accounting and economic sciences to describe examinations and thorough reviews to ascertain the viability of various investment options by calculating the advantages and disadvantages to extract measurements for each option [1]. The feasibility study’s findings, coupled with a detailed implementation plan, assist in choosing a specific project that fulfills the project’s stated objectives [2,3]. When a particular course of action is evaluated for suitability in a given situation with restricted resources, a real estate analyst can confidently say that defined objectives will be achieved [4].

The following studies serve as the frameworks for the dimensions of business viability in this article: (market, economic, financial, technical, environmental, legal, schedule, and administrative). These investigations represent the basic categories of feasibility studies, which are crucial to any framework [5,6]. Any building process has a variety of variables and notions that could have both positive and negative consequences [7,8]. These variables, which have varying degrees of effects (up or down), are detailed in a preliminary feasibility study in an organized building [9,10]. The feasibility study thoroughly examines the project’s viability, considering all relevant technical, financial, legal, and scheduling considerations [11]. A feasibility study collects and organizes all the information required to create a successful company [12]. Today, it is one of the most significant tools for strategic planning. Also, the feasibility study is a powerful tool for strategically managing projects in various economic and investment activities, enabling investors to make decisions throughout the project’s lifespan with the least amount of risk (uncertainty) possible [13].

Feasibility studies were created based on economic theory to assist in investing decisions with a certain amount of risk and/or uncertainty. This idea results from several internal and external future-related variables that may affect choices [14,15]. The government may finance more than 96% of domestic construction projects in Iraq. Due to construction project funding, more central and local government control of all local project schedules is required [16].

This study aims to analyze the relationship between the failure of investment projects for the study sample and the unreality of economic feasibility studies prepared by the investor. As well as to analyze the failure of many projects to identify the causes of this stumbling block in the Najaf governorate and find solutions. Therefore, this study is important in raising awareness among engineers of the importance of the feasibility study and the extent of its impact on the success or failure of investment projects.

2 Research problem

Due to the failure of many investment projects in Iraq, which may lead to weak opportunities for growth and development, the failure of these projects leads to the loss of other alternative options that can be exploited to avoid wasting human, financial, and other resources. Poor planning of investment projects, failure to adopt scientific methods to choose between investment alternatives and investors, granting investment licenses without fully and accurately providing the requirements for granting these licenses, and many obstacles that get out of control. Therefore, it is necessary to have real feasibility studies that simulate the reality of investment projects.

3 The reality of stalled construction projects in Najaf Governorate

The province of Al-Najaf is one of the province’s religious and touristic allies, agriculturally and economically, as thousands of visitors from inside and outside Iraq flock to it daily. Therefore, the province urgently needs to develop infrastructure and investment projects [17].

After the issuance of Investment Resolution No. 13 of 2006 regarding the formation of the investment commission in the province of Najaf, this commission began to grant investment licenses. As of 2008, it led to increased investment projects in Najaf [17]. However, after implementing many of these investment projects, it was found that there was a delay and stopping or stumbling of many investment projects due to many obstacles and problems that directed the implementation of these investment projects. In this research, stopped and stalled projects were identified and classified according to all projects from 2008 to 2022, in addition to categorizing them according to project cost and project area [17].

3.1 Classification of the total projects with the identification of stalled and registered projects according to the project registration

Table 1 shows all the projects registered in the Investment Commission for the province of Najaf, focusing on the stalled projects. Table 1 also illustrates that the highest percentage of stalled projects was in the year 2019, and this is because it was the beginning of the Corona pandemic and its adverse effects on investment projects. Also, in 2014, there was an apparent increase in the stalling of investment projects due to the events of ISIS in most Iraqi governorates.

Table 1

Total and stalled projects by year [17]

Years Total projects Stalled projects % stalled from total
2008 11 8 72.73
2009 27 19 70.37
2010 62 45 72.58
2011 57 43 75.44
2012 28 21 75
2013 4 2 50
2014 5 4 80
2015 22 13 59.10
2016 7 5 71.43
2017 30 17 56.67
2018 15 10 66.67
2019 16 14 87.5
2020 20 15 75
2021 15 11 73.34
2022 5 4 80
Total 324 231 71.30

3.2 Stalled investment projects according to the cost of the investment project

When the decision-maker lacks a clear vision or an accurate assessment of the project’s cost, the investment cost is one of the most critical variables influencing whether the project is established. In addition, it is one of the most critical causes of projects stumbling and failing. According to the cost of the investment projects, Table 2 lists the halted investment projects.

Table 2

Total and stalled projects, according to the cost of the project [17]

Projects cost $ Total projects Stalled projects % stalled from total
Less than 50,000,000 189 111 58.73
50,000,001–100,000,000 15 11 73.34
100,000,001–150,000,000 4 3 75
150,000,001–200,000,000 3 3 100
More than 200,000,000 14 12 85.71
Total 225 140 62.20

It was noted from Table 2 that the highest default rate according to the cost of the investment project is projects less than 50,000,000 due to a large number of registered projects, which number 189, due to poor follow-up and monitoring of projects due to the lack of follow-up and supervision committees on investment projects.

3.3 Stalled investment projects according to the area of the investment project

Stalled projects will be classified according to the area of the investment project and determine the extent to which the area affects the success or failure of the investment project. Table 3 shows the volume of investment projects implemented in the Al-Najaf Governorate. Table 3 shows that the area of the project has a significant impact on the success or failure of the investment project.

Table 3

The area of investment projects according to the area of the project from 2008 to 2022 [17]

The project area Total projects Stalled projects Stalled % from total
Less than 10,000 M2 131 70 53.44
10,000 M2 ≤ 20,000 M2 20 14 70
20,000 M2 ≤ 30,000 M2 10 6 60
30,000 M2 ≤ 40,000 M2 9 5 55.56
40,000 M2 ≤ 50,000 M2 2 2 100
50,000 M2 ≤ 60,000 M2 1 1 100
60,000 M2 ≤ 70,000 M2 0 0 0
70000 M2 ≤ 80000 M2 2 2 100
80,000 M2 ≤ 90,000 M2 0 0 0
90,000 M2 ≤ 100,000 M2 4 4 100
100,000 M2 ≤ 110,000 M2 0 0 0
110,000 M2 ≤ 120,000 M2 2 2 100
More than 120,000 M2 44 36 82.81
Total 225 142 63.00

4 Research methodology

This study is based on a site survey that attempts to gather all the required information effectively. Twenty-three influencing factors in feasibility studies were collected through an open questionnaire for experienced engineers and consultants, in addition to surveys from the archives of some engineering departments and previous studies. The components surveyed were divided into five primary sections: (1) political and legal; (2) economic and financial factors; (3) advisory factors; (4) owner factors; (5) contractor factors.

4.1 Design of the questionnaire

Three sections comprise the questionnaire: General information on the respondents is provided in the first section. Specialization, current employment, years of experience, academic credentials, and a union degree are also included. Selecting the proper choice yields the answer. Seven questions about the significance of the feasibility study on construction investment projects are included in the second section. The elements influencing the success or failure of the feasibility studies are represented in five tables in the third part. When designing the questionnaire, the arithmetic mean scale is combined with a five-point Likert scale [18].

The scale, therefore, ranges from (1 very low) to (5 very high). After reviewing and auditing to check its efficacy and suitability for construction projects in Iraq, a second evaluation was conducted to confirm the uniformity of the questionnaire’s answers [18]. Twenty-three criteria affecting feasibility studies for investment projects in Najaf were included in the original questionnaire. A pilot test (pilot study) was undertaken before the questionnaire was made available to ensure it was structured more gradually and appropriately in a straightforward manner. Six arbitrators (of the degree of expert engineer) get the questionnaire’s questions to use their competence to make the necessary corrections for omission and addition to arrive at the final version.

4.2 Sample size

Engineers who work as operational directors, project managers, project coordinators, construction managers, site managers, site engineers, superintendents, estimators, supervisors, and so on make up the sample of the target in the search. They are employed by both government and private contractor businesses in Iraq. Equations (1) and (2), which have been used by a number of researchers, including by Khaleel and Nassar [18], can be utilized to obtain a statistically representative sample of the target.

(1) n = m 1 + m 1 N .

The population’s sample size is unlimited (m), but the population’s sample size is constrained (N). Equation (2) is applied as follows to determine the value of m:

(2) m = Z 2 × p × ( 1 p ) E 2

Here, Z indicates the degree of confidence (for instance, 2.92, 1.575, and 2.245 reflect the values of the confidence levels when 99, 95, and 90%, respectively); P is the level of contrast (0.5) between the components of the target sample; E stands for the chosen maximum error point. The estimated value m is the clear application of equation (1) When the sample size is not given, the significance level is set at 5% with a confidence level of 95%.

m = ( 1.96 ) 2 × 0.50 × ( 1 0.50 ) ( 0.05 ) 2 385 .

4.3 Data collection

Engineers employed in both the public and private sectors and across various industries make up the research’s target sample. Using equation (3), one can determine the necessary sample size among the 90 engineers N = 90 to complete the task of the entire target sample [18]:

(3) n = 385 1 + 385 1 90 73 .

Forms containing 90 questionnaires were sent to guarantee that the necessary sample size (73 samples) was obtained. The ratio (73% from the 90 Dispatcher questionnaires) is represented by the number of (73 questionnaires) timely submitted forms. After revision, 70 questionnaires were utilized in the analysis, representing 81.2% of the 100 dispatcher questions. Three questionnaires were removed because they were improperly filled out, bringing the total to participate to 70 questionnaires. Use the (relative importance index, RII) in accordance with the following equation (4), [18,19] to assess the data:

(4) RII % = 5 × ( n 5 ) + 4 × ( n 4 ) + 3 × ( n 3 ) + 2 × ( n 2 ) + 1 × ( n 1 ) 5 × ( n 1 + n 2 + n 3 + n 4 + n 5 ) ,

where n1 is the number of respondents (R) who chose “little effect,” “little effect,” and “very high effect,” and n5 is the number of respondents who chose “very high effect.” These five expressions, in contrast, are defined as follows by equal intervals. (10.0 = little effect (LE), 20.0 = some effect (SE), 40.0 = average effect (AE), 60.0 = high effect (HE), 80.0 = very high effect (VHE), and 100 = very high effect).

4.4 Measuring the consistency of the questionnaire

In this study, the “Factors Affect Groups” questionnaire’s stability is evaluated using the stability coefficient (Cronbach’s alpha) Ca [18,19]. Ca should have a value between 0 and 1, where the closer to one the value, the higher the stability, and vice versa. As shown in Table 4, the Ca value for this section was 0.9, which shows a strong questionnaire’s validity and reliability since Ca must be more than 0.7.

Table 4

Reliability and validity of factors affect groups

Factors affect group No. of factors Reliability* Validity**
Political and legal factors 5 0.91 0.95
Economic and financial factors 5 0.9 0.948
Consultant factors 7 0.89 0.9433
Owner factors 3 0.87 0.933
Contractor factors 3 0.92 0.96
Total factors affect group 23 0.9 0.95

*(Cronbach’s Alpha, Ca), ** Validity = √Ca.

5 Results and discussion

In this study, 23 factors influencing the success or failure of investment projects were identified and arranged according to the relative importance index, along with eight factors demonstrating the significance of feasibility studies in construction investment projects. These variables have been divided into five groups and are listed in a single table. These programs were used to find the research’s findings:

  1. According to the participants, questionnaire responses, and frequency data, SPSS version 22 is used to determine the relative importance index and Cronbach’s alpha of effect strength (ranging from 1 to 5) for each factor.

  2. MS Excel 2015 software to apply the equation for calculating the important factor.

5.1 Political and legal factors

The “political and legal group” was divided based on the relative importance index and the rankings of the five factors, as shown in Table 5. With an RII of 88.57%, Table 5 reveals that the respondents ranked “Absence of a clear investment policy and location delivery” as the most crucial factor influencing them in this group. This result comes in first. While this group ranked first, the factor of “Constantly changing labor and raw materials wages” is the component that has the most negligible impact on feasibility studies in this group, with an RII of 71.43%.

Table 5

Ranking political and legal factors

Political and legal factors 5 4 3 2 1 No MR RII Rank
Slow and complicated routine procedures from the concerned government agencies 35 20 10 4 1 70 4.200 84.000 3
The existence of obstacles and problems in the land allocation and site handover procedures 36 22 9 2 1 70 4.286 85.714 2
Absence of a clear investment policy and site delivery 40 20 10 0 0 70 4.429 88.571 1
Constantly changing labor and raw materials wages 15 15 35 5 0 70 3.571 71.429 5
Chaos and lack of planning 20 17 33 0 0 70 3.826 76.600 4
Result of political and legal group Degree of effect Mean RII% Rank
VHE 4.06 81.25 1

5.2 Economic and financial factors

Table 6 categorizes the three components under the “economic and financial group” based on their relative relevance indices and rankings. According to Table 6, where the RII rate reached 79.143%, survey respondents evaluated “instability of exchange rates between the local and foreign currency” as the most crucial factor impacting feasibility studies in this group. With an RII of 67.71%, this group ranks fifth for the factor “Failure to accurately forecast all the financial expenses incurred by the project during the construction period,” which is the least significant factor affecting workers’ productivity in this group.

Table 6

Ranking of economic and financial factors

Economic and financial factors 5 4 3 2 1 No. R MR RII Rank
Delay in financing and banking facilities for the project, which encourages investment activity 18 10 39 3 0 70 3.614 72.286 2
The absence of appropriate and soft financing means that it encourages construction activity 12 15 38 5 0 70 3.486 69.714 3
Instability of exchange rates between the domestic and foreign currency 27 17 22 4 0 70 3.957 79.143 1
The inability of these projects to obtain the necessary financing for investment 17 10 31 12 0 70 3.457 69.143 4
Failure to accurately forecast all the financial expenses incurred by the project during the construction period 11 11 42 6 0 70 3.386 67.714 5
Result of economic and financial group Degree of effect Mean RII% Rank
HE 3.58 71.60 4

5.3 Consultant factors

As indicated in Table 7, the seven factors’ relative relevance index and rankings were categorized within the “Consultant factor group.” With an RII of 82.3%, the survey respondents ranked “lack of experience and field expertise” as the most crucial variable influencing feasibility studies in this group. In contrast, the least important factor affecting the feasibility study in this group, with an RII of 57.714%, was a “lack of knowledge of the hazards involved with the project.” This team came in second.

Table 7

Ranking of consultant factors

Consultant factors 5 4 3 2 1 No. R MR RII Rank
Failure to accurately meet the scientific and technical requirements of economic feasibility studies 27 19 21 2 1 70 3.986 79.714 2
Incorrect assessment of project activity data 25 17 24 3 1 70 3.886 77.714 3
Misunderstanding of project objectives 15 20 29 4 2 70 3.600 72.000 6
Lack of experience and field knowledge 25 28 17 0 0 70 4.114 82.286 1
Misunderstanding of the stages and steps of conducting a feasibility study 27 19 21 2 1 70 3.986 79.714 2
Not understanding the risks associated with the project 6 8 35 14 7 70 2.886 57.714 7
Misunderstanding in the classification of project costs 18 18 30 3 1 70 3.700 74.000 4
Result of consultant group Degree of effect Mean RII% Rank
HE 3.737 74.74 2

5.4 Owner factors

According to Table 8, the three criteria are categorized inside the “Owner group” based on their relative relevance indices and rankings. According to respondents, “Lack of a period during the conceptual phase” had the most significant influence on this group’s feasibility study, according to Table 8, with an RII of 77.143%. In contrast, the factor “Failure to decide on the upper management is the component least affecting this group’s feasibility study The influence of the elements classified as (12) was ranked in terms of its impact among all the factors examined. This team came in second.

Table 8

Ranking of owner factors

Owner factors 5 4 3 2 1 No. R MR RII Rank
Lack of local feasibility study database 15 23 32 0 0 70 3.757 75.143 2
Lack of period during the conceptual stage 18 24 28 0 0 70 3.857 77.143 1
Failure to decide on the upper management 12 19 39 0 0 70 3.614 72.286 3
Result of owner group Degree of effect Mean RII% Rank
HE 3.743 74.857 2

5.5 Contractor factors

As indicated in Table 9, the seven factors’ relative relevance index and rankings were categorized within the “Consultant factor group.” With an RII of 72.571%, the survey respondents ranked “The lack of experience and competence of the company and its suitability for the project” as the most crucial variable influencing feasibility studies in this group. In contrast, the least important factor affecting the feasibility study in this group, with an RII of 66.857%, was “The emergence of disputes between the partners in a number of these projects due to the lack of an internal and basic system.” This team came in second.

Table 9

Ranking of contractor factors

Contractor factors 5 4 3 2 1 No. R MR RII Rank
The lack of experience and competence of the company and its suitability 12 20 38 0 0 70 3.629 72.571 1
Low efficiency of administrative and technical performance of project management 12 17 37 4 0 70 3.529 70.571 2
The emergence of disputes between the partners in a number of these projects due to the lack of an internal and basic system 12 14 30 14 0 70 3.343 66.857 3
Result of contractor group Degree of effect Mean RII% Rank
HE 3.5. 70.00 5

6 The 10 most influencing factors for a feasibility study (using the fishbone technique)

A cause-and-effect diagram, also known as an Ishikawa diagram or a fishbone diagram, is a visual tool for classifying potential sources of an issue to determine its root causes. The survey results are presented in Table 10 and Figure 1, along with the factors that impact productivity most. The factor that ranked tenth in the ranking was “Misunderstanding in the classification of project costs” and the value of its relative importance index (74.00%). It was discovered that the most influencing factor was the “Absence of a clear investment policy and site delivery” and the value of its relative importance index (86.00%).

Table 10

The 10 most influential factors in feasibility study

Rank Factors affect Degree of effect RII % Related group
1 Absence of a clear investment policy and site delivery VHE 86.00 Political and legal factors
2 The existence of obstacles and problems in the land allocation and site handover VHE 85.71 Political and legal factors
3 Slow and complicated routine procedures from the concerned government agencies VHE 84.00 Political and legal factors
4 Lack of experience and field knowledge VHE 82.29 Consultant factors
5 Failure to accurately meet the scientific and technical requirements of economic feasibility HE 79.71 Consultant factors
6 Failure to accurately meet the scientific and technical requirements of economic HE 79.71 Consultant factors
7 Instability of exchange rates between the domestic HE 79.14 Eco and financial factors
8 Lack of period during the conceptual stage HE 77.143 Owner factors
9 Lack of local feasibility study database HE 75.143 Consultant factors
10 Misunderstanding in the classification of project HE 74.00 Consultant factors
Figure 1 
               The ten most influential factors in feasibility study (using a fishbone technique).
Figure 1

The ten most influential factors in feasibility study (using a fishbone technique).

7 Classification of groups

The 23 factors identified were categorized into five groups. The order of these groups is related to the relative importance according to the evaluation of the engineers working in the construction sector in Iraq. Figure 2 shows that the most important group affecting the feasibility study in investment projects is the political, legal, economic, material, advisory, owner, and contractor groups.

Figure 2 
               Relative important for all groups.
Figure 2

Relative important for all groups.

8 Conclusions and recommendations

The researcher came to a number of conclusions and made the following recommendations after reviewing the theoretical underpinnings of the study, reviewing the status of investment projects in the province of Najaf, and using the statistical results of the questionnaire to examine 23 factors influencing the success of the feasibility study:

  1. There were (231) stalled projects out of (324) total projects, a rate of (71.30%), which is a high percentage and shows that there were no meaningful feasibility studies conducted before the implementation of investment projects.

  2. It was found from the questionnaire analysis that the most influencing factors on feasibility studies are as follows:

    1. Absence of a clear investment policy and site delivery.

    2. The existence of obstacles and problems in the land allocation and site handover procedures

    3. Slow and complicated routine procedures from the concerned government agencies

    4. Lack of experience and field knowledge

    5. Failure to accurately meet the scientific and technical requirements of economic feasibility studies

    6. Instability of exchange rates between the domestic and foreign currency

    7. Lack of period during the conceptual stage

    8. A lack of a local database for feasibility studies and incorrect project cost classification.

    Furthermore, the 23 factors considered in the study were divided into five groups, which were ranked according to their relative importance index:

  3. Based on the results of this study, the following actions are recommended:

    1. Government agencies and the Investment Authority must spread and raise awareness among investors of the importance and usefulness of feasibility studies at the level of projects and the overall national economy.

    2. Dealing with stalled projects by a committee formed by government departments, the central government, and the Investment Authority to solve problems related to and causing stalled projects.

    3. Determine the powers between the Investment Authority and all other bodies and departments of the state to ensure noninterference in the powers and speed up the granting of licenses.

  1. Funding information: The authors state no funding involved.

  2. Conflict of interest: The authors state no conflict of interest.

  3. Data availability statement: Most datasets generated and analyzed in this study are in this submitted manuscript. The other datasets are available on reasonable request from the corresponding author with the attached information.

References

[1] Abou-Zeid A, Bushraa A, Ezzat M. Overview of feasibility study procedures for public construction projects in Arab countries. J King Abdulaziz Univ-Eng Sci. 2007;18(1):19–34.10.4197/Eng.18-1.2Search in Google Scholar

[2] Rumane AR. Quality management in construction projects. 2nd edn. London, Brighton, and Abingdon: Taylor & Francis; 2017. Vol. 2016. p. 1. 10.1201/9781315098425.Search in Google Scholar

[3] Barbero-Barrera MM, Santos AJC, Veiga MR. The appearance and luminous properties of lime and gypsum pastes: A comparative analysis of different measurement methods. Constr Build Mater. 2019;221:562–72.10.1016/j.conbuildmat.2019.06.010Search in Google Scholar

[4] Graaskamp JA. A rational approach to feasibility-analysis. Appraisal J. 1972;40(4):513.Search in Google Scholar

[5] Tazay A. Techno-economic feasibility analysis of a hybrid renewable energy supply options for university buildings in Saudi Arabia. Open Eng. 2021;11(1):39–55. 10.1515/eng-2021-0005.Search in Google Scholar

[6] C. B. “Bud” Johnston Library, “Business 2257 Feasibility Study”; 2016.Search in Google Scholar

[7] Mohammed SR, Naji HI, Ali RH. Impact of the feasibility study on the construction projects. IOP Conf Ser: Mater Sci Eng. 2019;518:22074.10.1088/1757-899X/518/2/022074Search in Google Scholar

[8] Anonymous “Financial feasibility studies for property development: Theory and practice”. Prop Manag. 2014;32(4):362–3.10.1108/PM-05-2014-0025Search in Google Scholar

[9] Ulubeyli GÇ, Bilir T, Artir R. Ceramic wastes usage as alternative aggregate in mortar and concrete. Period Eng Nat Sci (PEN). 2017;5(2):194–201.10.21533/pen.v5i2.115Search in Google Scholar

[10] Rey G, Ulloa C, Cacabelos A, Barragáns B. Performance analysis, model development and validation with experimental data of an ICE-based micro-CCHP system. Appl Therm Eng. 2015;76:233–44.10.1016/j.applthermaleng.2014.10.087Search in Google Scholar

[11] Mukherjee M, Roy S. Feasibility studies and important aspect of project management. Int J Adv Eng Manag. 2017;2(4):98.10.24999/IJOAEM/02040025Search in Google Scholar

[12] Cui C, Liu Y, Hope A, Wang J. Review of studies on the public-private partnerships (PPP) for infrastructure projects. Int J Proj Manag. 2018;36(5):773–94.10.1016/j.ijproman.2018.03.004Search in Google Scholar

[13] Heralova RS. Life cycle costing as an important contribution to feasibility study in construction projects. Procedia Eng. 2017;196:565–70.10.1016/j.proeng.2017.08.031Search in Google Scholar

[14] Halil FM, Nasir NM, Hassan AA, Shukur AS. Feasibility study and economic assessment in green building projects. Procedia – Soc Behav Sci. 2016;222:56–64.10.1016/j.sbspro.2016.05.176Search in Google Scholar

[15] Jia G, Ni X, Chen Z, Hong B, Chen Y, Yang F, et al. Measuring the maturity of risk management in large-scale construction projects. Autom Constr. 2013;34:56–66.10.1016/j.autcon.2012.10.015Search in Google Scholar

[16] Ahmed MN, Mohammed HA, Aswed GK, Alyhya WS. Investigating factors affecting feasibility study of construction projects in Iraq. Period Eng Nat Sci. September 2019;7(3):1209–17. http://pen.ius.edu.ba.10.21533/pen.v7i3.664Search in Google Scholar

[17] National Investment Commission, Najaf Investment Commission; 2023. www.najafinvsetmentcommission.gov.iq.Search in Google Scholar

[18] Khaleel TA, Nassar YS. Identification and analysis of factors affecting labour productivity in Iraq. MATEC Web of Conferences; January 2018. 10.1051/matecconf/201816202032.Search in Google Scholar

[19] Nassar YS. Explore and assess the risks of the project parties involved in the construction projects. J Glob Sci Res. 2021;6(12):1906–19.Search in Google Scholar

Received: 2023-03-31
Revised: 2023-05-09
Accepted: 2023-05-14
Published Online: 2023-09-28

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  35. Analysis and assessment of the human factor as a cause of occurrence of selected railway accidents and incidents
  36. Testing the way of driving a vehicle in real road conditions
  37. Research of dynamic phenomena in a model engine stand
  38. Testing the relationship between the technical condition of motorcycle shock absorbers determined on the diagnostic line and their characteristics
  39. Retrospective analysis of the data concerning inspections of vehicles with adaptive devices
  40. Analysis of the operating parameters of electric, hybrid, and conventional vehicles on different types of roads
  41. Special Issue: 49th KKBN - Part II
  42. Influence of a thin dielectric layer on resonance frequencies of square SRR metasurface operating in THz band
  43. Influence of the presence of a nitrided layer on changes in the ultrasonic wave parameters
  44. Special Issue: ICRTEEC - 2021 - Part III
  45. Reverse droop control strategy with virtual resistance for low-voltage microgrid with multiple distributed generation sources
  46. Special Issue: AESMT-2 - Part II
  47. Waste ceramic as partial replacement for sand in integral waterproof concrete: The durability against sulfate attack of certain properties
  48. Assessment of Manning coefficient for Dujila Canal, Wasit/-Iraq
  49. Special Issue: AESMT-3 - Part I
  50. Modulation and performance of synchronous demodulation for speech signal detection and dialect intelligibility
  51. Seismic evaluation cylindrical concrete shells
  52. Investigating the role of different stabilizers of PVCs by using a torque rheometer
  53. Investigation of high-turbidity tap water problem in Najaf governorate/middle of Iraq
  54. Experimental and numerical evaluation of tire rubber powder effectiveness for reducing seepage rate in earth dams
  55. Enhancement of air conditioning system using direct evaporative cooling: Experimental and theoretical investigation
  56. Assessment for behavior of axially loaded reinforced concrete columns strengthened by different patterns of steel-framed jacket
  57. Novel graph for an appropriate cross section and length for cantilever RC beams
  58. Discharge coefficient and energy dissipation on stepped weir
  59. Numerical study of the fluid flow and heat transfer in a finned heat sink using Ansys Icepak
  60. Integration of numerical models to simulate 2D hydrodynamic/water quality model of contaminant concentration in Shatt Al-Arab River with WRDB calibration tools
  61. Study of the behavior of reactive powder concrete RC deep beams by strengthening shear using near-surface mounted CFRP bars
  62. The nonlinear analysis of reactive powder concrete effectiveness in shear for reinforced concrete deep beams
  63. Activated carbon from sugarcane as an efficient adsorbent for phenol from petroleum refinery wastewater: Equilibrium, kinetic, and thermodynamic study
  64. Structural behavior of concrete filled double-skin PVC tubular columns confined by plain PVC sockets
  65. Probabilistic derivation of droplet velocity using quadrature method of moments
  66. A study of characteristics of man-made lightweight aggregate and lightweight concrete made from expanded polystyrene (eps) and cement mortar
  67. Effect of waste materials on soil properties
  68. Experimental investigation of electrode wear assessment in the EDM process using image processing technique
  69. Punching shear of reinforced concrete slabs bonded with reactive powder after exposure to fire
  70. Deep learning model for intrusion detection system utilizing convolution neural network
  71. Improvement of CBR of gypsum subgrade soil by cement kiln dust and granulated blast-furnace slag
  72. Investigation of effect lengths and angles of the control devices below the hydraulic structure
  73. Finite element analysis for built-up steel beam with extended plate connected by bolts
  74. Finite element analysis and retrofit of the existing reinforced concrete columns in Iraqi schools by using CFRP as confining technique
  75. Performing laboratory study of the behavior of reactive powder concrete on the shear of RC deep beams by the drilling core test
  76. Special Issue: AESMT-4 - Part I
  77. Depletion zones of groundwater resources in the Southwest Desert of Iraq
  78. A case study of T-beams with hybrid section shear characteristics of reactive powder concrete
  79. Feasibility studies and their effects on the success or failure of investment projects. “Najaf governorate as a model”
  80. Optimizing and coordinating the location of raw material suitable for cement manufacturing in Wasit Governorate, Iraq
  81. Effect of the 40-PPI copper foam layer height on the solar cooker performance
  82. Identification and investigation of corrosion behavior of electroless composite coating on steel substrate
  83. Improvement in the California bearing ratio of subbase soil by recycled asphalt pavement and cement
  84. Some properties of thermal insulating cement mortar using Ponza aggregate
  85. Assessment of the impacts of land use/land cover change on water resources in the Diyala River, Iraq
  86. Effect of varied waste concrete ratios on the mechanical properties of polymer concrete
  87. Effect of adverse slope on performance of USBR II stilling basin
  88. Shear capacity of reinforced concrete beams with recycled steel fibers
  89. Extracting oil from oil shale using internal distillation (in situ retorting)
  90. Influence of recycling waste hardened mortar and ceramic rubbish on the properties of flowable fill material
  91. Rehabilitation of reinforced concrete deep beams by near-surface-mounted steel reinforcement
  92. Impact of waste materials (glass powder and silica fume) on features of high-strength concrete
  93. Studying pandemic effects and mitigation measures on management of construction projects: Najaf City as a case study
  94. Design and implementation of a frequency reconfigurable antenna using PIN switch for sub-6 GHz applications
  95. Average monthly recharge, surface runoff, and actual evapotranspiration estimation using WetSpass-M model in Low Folded Zone, Iraq
  96. Simple function to find base pressure under triangular and trapezoidal footing with two eccentric loads
  97. Assessment of ALINEA method performance at different loop detector locations using field data and micro-simulation modeling via AIMSUN
  98. Special Issue: AESMT-5 - Part I
  99. Experimental and theoretical investigation of the structural behavior of reinforced glulam wooden members by NSM steel bars and shear reinforcement CFRP sheet
  100. Improving the fatigue life of composite by using multiwall carbon nanotubes
  101. A comparative study to solve fractional initial value problems in discrete domain
  102. Assessing strength properties of stabilized soils using dynamic cone penetrometer test
  103. Investigating traffic characteristics for merging sections in Iraq
  104. Enhancement of flexural behavior of hybrid flat slab by using SIFCON
  105. The main impacts of a managed aquifer recharge using AHP-weighted overlay analysis based on GIS in the eastern Wasit province, Iraq
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