Advances in Civil Engineering
Volume 2021 (2021), Article ID 6696203, 24 pages
https://doi.org/10.1155/2021/6696203

Review Article

A Review of Employer-Caused Delay Factors in Traditional and Building Information Modeling (BIM)-Enabled Projects: Research Framework

Mohammad Barqawi,¹ Heap-Yih Chong,¹ and Emil Jonescu²

¹School of Design and the Built Environment, Curtin University, GPO Box U1987, Perth, WA 6845, Australia
²Principal Research and Development, Hames Sharley, Subiaco, WA 6008, Australia

Correspondence should be addressed to Heap-Yih Chong; heap-yih.chong@curtin.edu.au

Received 9 November 2020; Revised 25 March 2021; Accepted 28 March 2021; Published 23 April 2021

Academic Editor: Yinshan Tang

Copyright © 2021 Mohammad Barqawi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Construction delays are considered a common worldwide problem. Previous studies have investigated construction delay factors from the perspectives of different project stakeholders. However, a thorough analysis of such delays on different types of construction projects in different geographies is still lacking, precisely the effect of employers’ delays in traditional and building information modeling (BIM)-enabled projects. This research proposes a research framework to address potential employer-caused delay factors in traditional and BIM-enabled projects. A cross-sectional literature search was carried out to review construction delay factors and employer-caused delay factors in traditional and BIM-enabled projects. The study found that: (a) a research gap exists in traditional construction delay studies in specific continents and project types as well as in BIM-enabled project studies, (b) delay aspects have not been addressed or have been partially addressed in previous studies, and (c) a relationship model between employer-caused delay factors and success factors can be developed by studying the effects of BIM barriers and implementation strategies. This paper is the first to present a comprehensive review on delay factors and tender a novel framework to address employer-caused delay factors in both traditional and BIM-enabled projects.

1. Introduction

Construction delay is a significant problem for the construction industry. Hence, construction delay factors and their causes have received considerable attention from both academia and industry. A delayed project is defined as a project doest not adhere to its planned timetable [1]. Delays occur in most construction projects, and the length of the delay varies for each project, ranging from a few days to several years. Shebob et al. [1] support this attestation, stating that projects are rarely completed within the specified time.

Many previous studies have reviewed construction delays in different contexts and countries around the globe. For example, Abinayasri et al. [2] conducted a survey in India’s Erode district on delay factors in the construction industry. Orangi et al. [3] proposed a framework to address construction delays in pipeline projects and similar infrastructure projects in Victoria, Australia. Mahamid [4] attempted to identify a risk matrix for factors causing construction delays in Palestinian road projects from the employer’s perspective. Khair et al. [5] studied construction delays in Sudanese road projects and proposed a management framework to address and reduce the delays.

The employer can be defined as the entity that enters into a contract with a contractor to carry out specific construction tasks or projects. The employer commonly appoints a representative for the running of the project. The employer is always responsible for making payments to the contractor, provided the work is finished on or before the completion time. In this research, the reference to the employer, employer’s personnel, employer’s corporation, and employer’s representative all shall mean the same. The most common factors for the employer’s delays include lack of previous experience, delay in delivering the site to the contractor, delay in giving the order to commence or cease work, and delay in the approval of schedules.

Despite the growing importance of addressing construction delay while taking all associated aspects into account, it is still considered that construction delay aspects, employer-caused delay factors, and delay characteristics have been discussed previously without carrying out an in-depth review that can help in filling the research gaps in previous studies. The research gaps are as follows: very few or no studies have been conducted on some type of projects, sufficient construction delay studies have not been conducted in some continents, and an appropriate framework is not available to completely address construction delay. Building information modeling (BIM) is an essential aspect that the employer always initiates. In most cases, BIM helps the employer address construction delays such as those arising from the order and design changes. However, BIM implementation barriers should also be considered to study their influence on the success factors for addressing employer-caused delay factors in BIM-enabled projects.

2. Literature Review

2.1. Employer-Caused Delays in Construction Projects

A delay in completing a project can have adverse consequences on the project performance and all parties involved in the project. Contractors may be subjected to undesirable bank interests on borrowed investment money because the contractor’s payments may be held up owing to project delays [6].

Delays can be classified according to the delayed source, that is, the party that causes the delay. Some delays are caused by the employer and are hence called employer-caused delays. Other delays are caused by both the employer and the contractor simultaneously. The employer and the contractor are, many times, responsible for concurrent delays. The concurrent delays might happen when the contractor and employer delays occur simultaneously on the critical path of delay with a separate but parallel chain of activities [7]. In other cases, the employer and contractor delays might not coincide; such employer delays might be classified under excusable delays by the contractor or delays caused by the employer that implement entitlement for the contractor’s prolongation cost [8].

Moreover, delays may not be caused by either of them, and this results in what is called third-party delays, such as those caused by coercive forces or wars [9]. The current paper concentrates on the causes of delays associated with the employer. The reasons for employer-caused delays in construction projects vary because each study would have had a specific perception and a particular classification procedure for identifying these reasons following the study’s nature. Employer-caused delays may be directly attributed to the employer or attributed to another party representing the employer, such as the employer’s agents [9] (e.g., the consulting engineer).

Compensable delays are one of the delays that the employer mainly causes. These delays are caused by the employer directly, through one of its agents or its representative in the construction project. These delays may also result from an error caused by the employer or any negligence by the employer, leading to a delay in the end time agreed upon in the contract. When a compensable delay occurs, the contractor can request for an extension of time or monetary compensation for damages occurring because of the delay. Ibironke et al. [10] found that one of the reasons that may lead to the occurrence of compensable delays is the changes that are made by the employer through the implementation of different working conditions or the suspension of work. Tumi et al. [11] clarified that these reasons also include delay in reviewing and approving design documents, poor communication and coordination between project parties, slowness of the employer in making important decisions, and employer-caused delay in payments due to financial difficulties. In some cases, the documents that the employer provides to the contractor may be incomplete, incorrect, or contain anomalies that will affect the course of work [12].

Tahera and Pandey [13] inferred that the employer’s organizational problems are considered fundamental reasons for delaying construction projects. These problems are mainly associated with late payment and lack of planning experience. Samarah and Bekr [14] found that continuous design changes are a significant factor causing Jordan’s project delays. They added that design errors also contribute to the delay in the implementation of projects. Hasan et al. [15] emphasized that employer-caused delays in approving timetables, continuous interference in the contractor’s work, and changes in construction requirements are fundamental reasons for the delayed completion of projects. They clarified that the employer might make adjustments and changes to the work during implementation, which will impact the contractor in terms of financial compensation or the time required for project completion. Agu and Ibe [16] found that employer-caused delay in adopting design documents, delay in revising design documents, and changes in orders are essential factors that extend the period required to complete a Nigerian project. Aziz [17] and Ezeldin and Abdel-Ghany [18] agreed that delay in the approval of design documents also contributes to project delay because work can start only when the documents are received. Marzouk and Abdelaty [19], Haq et al. [20], and Abdellatif and Alshibani [21] found that a weakness in the employer’s ability to make decisions affects the progress of the project.

Based on the above discussion, it is well understood that the employer plays a critical role in decision-making on project delays and the appropriate extension of the time required to complete the project. Thus, this study focuses on reviewing employer-caused delay factors and establishing a research framework to address the delay caused by the employer in BIM-enabled projects.

2.2. Potential Employer-Caused Delays in BIM-Enabled Projects

BIM is an essential technology-based process where digital data models are utilized in a virtual space to facilitate the high-quality management of different aspects of construction projects, including delays. Nowadays, construction delay management throughout the life cycle of a project is positively influenced by BIM technology. However, the risk of delay in BIM-enabled projects is still substantial. For instance, Chien et al. [22] studied the critical risk factors for BIM-enabled projects. They clarified that the risks of implementing BIM successfully at a project site could be categorized as technical, management, environmental, financial, and legal. Besides, inadequate project experience, lack of software compatibility, and model management difficulties are the top three risk factors that influence BIM projects’ proper implementation. Thus, it can be concluded that although BIM technology helps to reduce construction delay, the risks of successfully implementing BIM should be carefully considered during the project life cycle to ensure successful BIM implementation.

Ho et al. [23] proposed using BIM technology to share construction information; they presented on how to use BIM in construction knowledge-sharing management. Accordingly, they proposed a BIM knowledge management system for the engineers and project managers. Moreover, Ganbat et al. [24] have mapped the relationship between International Construction Projects (ICPs) risks and BIM to improve using BIM in the construction industry. The outcome of their paper showed that BIM could help to improve communication management and mitigate risks by removing the language barriers among the project’s stakeholders. Azhar et al. [25] stated that despite the advantages of implementing BIM in construction projects and the rapid growth of BIM adoption, several developing countries face various challenges and obstacles that hinder BIM implementation making it a lengthy task. BIM barriers can be perceived differently depending on two different viewpoints: BIM users and nonusers [26]. Elhendawi et al. [27] identified 38 BIM barriers, classified under six groups: “Personal,” “BIM processes,” “Business,” “Technical,” “Organization,” and “Market.” Among these barriers, the following are directly related to delay due to problems in BIM implementation: legal and contractual challenges, time and cost to train new users, cost implications at the outset of BIM implementation, unclear benefits, uncertainty regarding return on investment, lack of contractual arrangements, lack of BIM specialists, difficulties in managing the transition from existing systems to BIM, and drastic changes in the organizational chart and workflow due to recent BIM implementation. Ya’acob et al. [28] classified BIM implementation risks under four categories: “Technology,” “Management,” “Financial,” and “Legal.” The main barriers that may increase employer-caused delay are the lack of BIM skilled personnel or expertise, the lack of funds, cost challenges, high initial investment costs, unclear levels of responsibility, and risks involving dispute-settlement mechanisms.

In summary, although it has been confirmed that BIM implementation ultimately benefits construction projects, there are still many risks and barriers related to many project parties that can weaken the advantages gained from BIM implementation at construction, including the advantages of delay control. Moreover, because the employer plays a leading role in BIM implementation, it is essential to thoroughly study the employer-caused delays in construction projects and the effects of BIM barriers on these delays.

The relationship between the employer and the BIM implementation has been deliberated in many previous kinds of literature. For instance, Dakhil et al. [29] illustrated that employers are an essential entity to promote using BIM in construction projects. However, they mentioned that BIM’s implementation and execution are commonly avoided from being more extensively accepted throughout the construction market by the employers’ worries and concerns and the absence of a complete understanding of the advantages of BIM. Thus, they suggested that the employer organization establish the required competencies and administrative staff to support the BIM execution. According to a Smart Market Report study in 2011, customers can play an essential function in the BIM execution procedure; that is, employers’ need can incentivize the market to begin carrying out BIM [30]. However, the employer’s worries and concerns and a lack of complete understanding of BIM advantages have barred adopting BIM in many projects [29].

3. Review Approach

This paper presents the outcome of a holistic review of construction project delays with particular emphasis on employer-caused delay factors. Moreover, it proposes establishing a relationship between employer-delay factors and their relevant BIM implementation strategy factors and BIM barriers to the employer-caused delay factors. A systematic research methodology is adopted, consisting of a five-step approach to developing the proposed research framework model. Figure 1 summarizes the steps used in this research to establish a research framework to address employer-caused delay factors. In this figure, the following principal research aspects are presented briefly: countries and project types used to identify research gaps, population and sample sizes used in previous studies, critical features used for previous mapping papers, employer-caused delay factors, and the proposed delay aspects.

Figure 1: Research map.

In the first step, a population range in selected database engines is determined by conducting a comprehensive search for construction delay research papers. A representing number of target research papers for each continent is identified based on the paper’s year and the representing sample size suggested by Hogg et al. [31]. The databases selected for the search are Google Scholar, Scopus, and Web of Science (WOS); duplicate data are visually excluded. Khoshnava et al. [32] conducted a scientific comparison of the WOS and Scopus. They found that the WOS provides reliable coverage of many previous studies dating as far back as 1990; in contrast, Scopus covers many papers but is limited to recent ones.

The continents included in the search are Asia, Africa, Oceania, Europe, North/Central America, and South America, all of which have countries with significant construction projects. The search engine keywords are carefully selected to ensure the maximum coverage of construction delay research papers; the main keywords used are “Construction,” “Employer,” “Client,” “Owner,” “Delay,” “Factor,” “Element,” “Cause,” “Reason.” The full description of the keywords is shown in Figure 2. The collected data are further refined to ensure their relevance to the study subject and to ensure that no reviews are repeated. The refinement is carried out at the end of every search. A minimum of five separate searches is conducted in Scopus. Data refinement is carried out for relevance, repetition, and further exploration. However, it is essential to note that the researchers have checked visually, in every search iteration, the research papers’ list considering the main keywords’ synonyms, the country, and the study’s continent.

Figure 2: Search methodology to estimate population/sample size for target research papers.

The strategy used in searching for the research papers related to the subject is as follows to ensure that comprehensiveness is achieved for this review: firstly, the combination of the main search words has been interchanged into five arrangements during the search in the main engines; secondly, for every iteration of search (in the five combinations of the main words), the researcher checked the list of research papers that is related to the subject visually to ensure comprehensiveness. However, it should be noted that the search is limited only to research papers (no theses or reports are included) between 2007 and 2021.

Besides, a similar systematic search is conducted using BIM as the subject in the field of construction. The population range in the same selected database engines is determined. The search engine keywords are carefully chosen to ensure the maximum coverage of the concerned subject; the main keywords used are “Construction,” “Delay,” “Factor,” “Element,” “Employer,” “Owner,” “Client,” “Causes,” “Reason,” “Building Information Modeling,” and “BIM.”

4. Data Analysis

Tables 1 and 2 summarize the data collected for each continent in terms of the research papers related to construction delay and BIM construction delay.

Table 1: Population size for papers related to construction delay in traditional projects.

Continent
Population (Scopus)
Population (WOS)
Population (Google Sc.)
Refined population

Africa
16
8
28
52

Asia
56
30
99
185

Europe
5
1
2
8

Oceania
3
1
0
4

South America
2
2
0
2

Central and North America
1
2
2
5

Table 2: Population size for papers related to BIM construction delay.

Continent
Population (Scopus)
Population (WOS)
Population (Google sc.)
Refined population

Africa
1
0
1
2

Asia
18
9
3
30

Europe
2
2
0
4

Oceania
0
0
0
0

South America
1
1
0
2

Central and North America
0
0
0
0

Based on Hogg et al. [30], a sufficient representing sample was required to review and identify the targeted research gaps. Table 3 presents the target size calculated for each continent for the number of research papers considered to sufficiently represent the total number of comprehensive research papers related to construction delay and BIM-related construction delay.

Table 3: Sample sizes for papers related to construction delay and BIM construction delay.

Continent
Sample size for papers related to construction delay
Sample size for papers related to BIM construction delay

Africa
15
2

Asia
38
31

Europe
5
4

Oceania
2
0

South America
2
1

Central and North America
1
0

In the second step, a preliminary mapping was conducted for 38 research papers related to BIM construction delays. Table 4 indicates that the target research papers related to BIM address the employer-caused delay factors from a limited viewpoint. For instance, Khoshnava et al. [32] studied BIM’s potential application in construction disputes and conflicts. They addressed the factors of the employer’s failure to respond on time, discrepancies in contract documents, and reluctance to check for constructability. Marzouk and Abdelaty [19] addressed employer-caused delay factors on the delay in interim payments, variations in orders, and the employer’s lack of construction experience.

Table 4: Employer-caused delay factors in previous BIM papers.

Author (year)
Continent
Project type
Employer-caused delay factors

Ham et al. [33]; Mehran [34]; Btoush and Harun [35]; Li et al. [36]; Latiffi et al. [37]; Bui [38]; Ma et al. [39]; Jia et al. [40]; Zhang et al. [41]
Asia
Buildings
Not attended

Tanoli et al. [42]
Asia
Underground utilities
Not attended

Macariola and Silva [43]; Mamter et al. [44]; Al-Ashmori et al. [45]; Telaga [46]; Pilyay and Shilova [47]; Tahir et al. [48]; Musa et al. [49]; Hamada et al. [50]; Hatmoko et al. [51]; Won et al. [52]; Chou and Yang [53]; Chou and Chen [54]
Asia
Not identified
Not attended

Hatem et al. [55]; Gardezi et al. [56]; Charehzehi et al. [57]
Asia
Not identified
Partially attended

Alenazi and Adamu [58]
Asia
Infrastructure
Partially attended

Shin et al. [59]
Asia
Railway
Not attended

Zhou et al. [60]
Asia
Tunnels
Not attended

Liao et al. [61]
Asia
Buildings
Partially attended

Li et al. [62]
Asia
Railway
Not attended

Vitásek and Matějka [63]; Galić et al. [64]
Europe
Buildings
Not attended

Grzyl et al. [65]
Europe
Not identified
Not attended

Bensalah et al. [66]
Africa
Railway
Not attended

Kekana et al. [67]
Africa
Not identified
Not attended

Aladag et al. [68]
Asia/Europe
Buildings
Partially attended

De Matos and de Oliveira Miranda [69]
South America
Public construction
Partially attended

A detailed mapping was carried out for 59 selected research papers from the topographic area, delay aspects, and project type to understand and establish the research gaps in the previous studies’ construction delay. This holistic review aims to understand the existing research gaps in construction delay for new research studies. However, as proposed in this research, one of the futuristic studies establishes the model relationship between the construction delay and the success factors in the areas of lack of research, type of projects, or the delay aspects (refer to Tables 5 and 6).

Table 5: Mapping of delay factors in different continents for the delay aspects in the targeted research papers in the traditional projects.

Authors
Continent
Aspects of delay factors

Oceania
Asia
South America
Central and North America
Europe
Africa
Total number of factors
Caused by employer
Caused by consultant
Caused by contractor/sub-contractor
Caused by authorities
Project phases
Managerial aspects
Social aspects
Technical aspects
Financial aspects
Contractual aspects
Environmental aspects

Al-Hazim and Abu Salem [71]

√

20
8
4
7
1
×
P
N
P
P
P
P

Emam et al. [72]

√

88
×
17
40
×
×
P
N
P
P
P
N

Samarah and Bekr [14]

√

55
17
11
20
2
×
P
P
P
P
P
P

Motaleb and kishk [73]

√

×
×
×
×
×
×
×
×
×
×
×
×

Muhwezi et al. [74]

√
81
15
18
27
3
×
P
P
P
P
P
P

Shah [75]
√
√

√
×
×
×
×
×
×
P
N
N
N
N
N

Khan [76]

√

70
26
20
28
3
×
P
N
P
P
P
P

Rahimipour and Shahhosseini [77]

√

10
×
×
×
×
×
P
N
P
P
P
P

Upadhyay et al. [78]

√

6
×
×
×
×
×
P
N
P
N
P
N

Tawil et al. [79]

√

126
21
26
39
5
×
P
N
P
P
P
P

Oshodi Olalekan and Rimaka [80]

√

√
27
5
5
14
1
×
P
N
P
P
P
P

Amoatey et al. [81]

√
37
7
7
16
3
×
P
N
P
P
P
P

Rauzana [82]

√

×
×
×
×
×
×
×
×
×
×
×
×

Shehu et al. [83]

√

×
×
×
×
×
×
×
×
×
×
×
×

Pai and Bharath [84]

√

73
9
15
14
3
×
P
P
P
P
P
P

Gajare and Attarde [85]

√

26
2
3
4
1
×
P
N
P
P
P
P

Kamanga and Steyn [86]

√
72
18
12
29
N
×
P
N
P
P
P
P

Bekr [87]

√

65
17
11
25
×
×
P
N
P
P
P
P

Al-Emad and Nagapan [88]

√

81
22
20
33
3
×
P
P
P
P
P
P

Suksai et al. [89]

√

18
1
0
16
0
×
P
N
P
P
P
N

Islam and Trigunarsyah [90]

√

√
53
7
7
10
3
×
P
N
P
P
P
P

Van et al. [91]

√

31
×
×
×
×
×
P
N
P
P
P
P

Zou et al. [92]

√

25
3
4
14
1
×
P
N
P
P
P
P

Addo [93]

√
57
×
×
×
×
×
P
N
P
P
P
×

Dontul et al. [94]

√

11
4
0
7
0
×
P
N
P
P
P
×

Senouci et al. [95]

√

×
×
×
×
×
×
×
N
×
×
×
×

Samarghandi et al. [96]

√

36
12
10
8
6
×
P
N
P
P
P
P

Assbeihat [97]

√

45
6
8
20
2
×
P
N
P
P
P
P

Megha and Rajiv [98]

√

59
9
7
9
3
×
P
P
P
P
P
P

Alamri et al. [99]

√

60
12
11
15
4
×
P
P
P
P
P
P

Khattri et al. [100]

√

58
×
×
×
×
×
N
N
P
N
N
P

Alhajri and Alshibani [101]

√

23
6
3
11
1
P
P
P
P
P
P
P

Kim et al. [102]

√

33
11
10
9
2
×
P
N
P
P
P
P

Sohu et al. [103]

√

73
×
×
×
×
×
P
N
P
P
P
N

Al Hadithi [104]

√

64
6
19
13
0
×
P
N
P
P
P
P

Tumi et al. [11]

√
43
18
14
18
×
×
P
N
P
P
P
P

Akogbe et al. [105]

√
35
4
14
10
1
×
P
N
P
P
P
P

Alinaitwe et al. [106]

√
22
5
3
11
0
×
P
N
P
P
P
P

Famiyeh et al. [107]

√
58
9
14
12
5
×
P
N
P
P
P
P

Damoah and kumi [108]

√
34
13
10
10
2
×
P
N
P
P
P
P

Olawale and Sun [109]

√

20
6
4
6
3
×
P
N
P
P
P
P

Zidane and Andersen [110]

√

11
6
5
5
0
×
P
N
P
N
P
N

Gunduz et al. [111]

√

83
12
8
10
3
×
P
N
P
P
P
P

Zidane and Andersen [112]

√

33
12
9
16
1
×
P
P
P
P
P
P

Maués et al. [113]

√

30
6
9
9
1
×
P
N
P
P
P
N

Ballesteros-Pérez et al. [114]

√

×
×
×
×
×
×
×
×
×
×
×
×

Tafazzoli and Shrestha [115]

√

17
4
3
8
1
×
P
N
P
P
P
P

Wang et al. [116]

√

37
14
8
16
×
×
P
N
P
P
P
×

Abbasi et al. [117]

√

50
10
10
21
0
×
P
N
P
F
P
N

Arantes and Ferreira [118]

√

47
9
7
26
2
×
P
P
P
P
N
P

Muneeswaran et al. [119]

√

49
11
8
30
0
×
P
N
P
P
P
N

Bajjou and Chafi [120]

√
49
5
4
13
1
×
P
P
P
P
P
P

Bagaya and Song [121]

√
27
5
4
6
1
×
P
N
P
P
P
N

Prasad et al. [122]

√

62
11
9
28
1
×
P
N
P
F
P
N

Alaghbari et al. [70]

√

32
8
8
8
1
×
P
P
P
P
P
P

Oshungade and kruger [123]

√
48
8
11
6
0
×
P
N
P
P
P
P

Ansah [124]

√
15
5
0
7
0
×
N
N
N
P
N
N

Pall et al. [125]
√

63
13
10
23
1
×
P
P
P
P
P
P

Ravisankar and Anandakumar [126]

√

50
11
12
24
1
×
P
P
P
P
P
P

Hiyassat et al. [127]

√

62
11
3
11
5
×
P
P
P
P
P
P

×: delay factors are not listed in the research paper context; N: delay factors are not identified; P: delay factors are partially identified in the context of the paper; F: delay factors are fully identified.

Table 6: Mapping of delay factors for different types of projects in traditional projects.

Authors
Project type

Residential buildings
Commercial buildings
Industrial buildings
Private
Public
Airports
Oil and gas
Other infrastructure
Modular structures
Power projects
Water/sewer/irrigation
General

Al-Hazim and Abu Salem [71]

√

√

Emam et al. [72]

√

Samarah and Bekr [14]

√

Motaleb and kishk [73]

√

Muhwezi et al. [74]

√

√

Shah [75]

√

Khan [76]

√

Rahimipour and Shahhosseini [77]

Upadhyay et al. [78]

√

Tawil et al. [79]

√

Oshodi Olalekan and Rimaka [80]

√

Amoatey et al. [81]
√

√

Rauzana [82]

√

Shehu et al. [83]

√

Pai and Bharath [84]

√

Gajare and Attarde [85]

√

Kamanga and Steyn [86]

√

√

Bekr [87]

√

Al-Emad and Nagapan [88]

√

Suksai et al. [89]
√
√

Islam and Trigunarsyah [90]

√

Van et al. [91]

√

√

Zou et al. [92]

√

Addo [93]

√

Dontul et al. [94]

√

Senouci et al. [95]

√

Samarghandi et al. [96]

√

Assbeihat [97]

√

Megha and Rajiv [98]
√

Alamri et al. [99]

√

Khattri et al. [100]

√

Alhajri and Alshibani [101]

√

Kim et al. [102]

√

Sohu et al. [103]

√

Al Hadithi [104]

√

Tumi et al. [11]

√

Akogbe et al. [105]

√

Alinaitwe et al. [106]

√

Famiyeh et al. [107]
Educational buildings

Damoah and kumi [108]

√

Olawale and Sun [109]

√

Zidane and Andersen [110]

√

Gunduz et al. [111]

√

Zidane and Andersen [112]

√

Maués et al. [113]
√

Ballesteros-Pérez et al. [114]

√

Tafazzoli and Shrestha [115]

√

Wang et al. [116]
√
√
√

Abbasi et al. [117]

√

Arantes and Ferreira [118]

√

Muneeswaran et al. [119]

√

Bajjou and Chafi [120]

√

Bagaya and Song [121]

√

Prasad et al. [122]
√
√
√

√
√

Alaghbari et al. [70]

√

Oshungade and kruger [123]

√

Ansah [124]

√

Pall et al. [125]

√

Ravisankar and Anandakumar [126]

√

Hiyassat et al. [127]

√

In the third step, groups and relevant delay factors of employer-caused delays are established. Previously, researchers categorized the construction delay factors in different ways and groups. For instance, Alaghbari et al. [70] grouped the delay factors into categories according to how they operate contractually: “Excusable and compensable,” “Nonexcusable, and noncompensable,” and “Concurrent.” Subsequently, the construction delay factors were categorized based on the various aspects of delay, such as social, technical, and financial. Therefore, in the present study, the delay aspects are categorized according to the following proposed aspects:

(i)Managerial aspects mainly fall under (but are not limited to) the following types: leadership and staff management, planning capacity, and communication skills.(ii)Social coordination aspects mainly fall under (but are not limited to) the following types: construction culture, import of foreign labor, and laborers’ ability to speak the local language.(iii)Technical aspects mainly fall under (but are not limited to) the following types: construction experience, qualifications, and skills in using planning software, construction equipment technology, BIM technology, design defects, and construction defects.(iv)Financial aspects mainly fall under (but are not limited to) the following types: procurement, client fund, client payments, letter of the purchase order and its financial procedure, sub-contractor payments, cost of materials, cost of hiring skilled laborers, indirect cost, prolongation cost, and cash flow variations and changes.(v)Contractual aspects mainly fall under (but are not limited to) the following types: contractual capacity/knowledge, knowledge of contractual obligations, breach of contract, and claims.

Tables 7 and 8 present a timeline summary analysis (for the targeted research papers) to evaluate the research gaps of addressing the construction delay and the employer delays in traditional and BIM-enabled projects from 2007 until 2021. The review shows that the BIM researchers are increasingly interested in BIM technology’s influence in addressing or reducing the construction delays or the employer construction delays. Moreover, the table also shows that the gap to address the construction delays or the employer delay from a holistic perspective is continuing. Considering the data summary presented in Table 7, traditional projects are still showing research gaps related to partial addressing for the delay aspects; these research gaps still existing are: (1) gap in addressing the construction delay from a holistic perspective; (2) gap in reviewing the construction delays and the employer delay in some specific projects such as airports. For BIM projects, it is noticeable by reviewing the data summary presented in Table 8 that the BIM research papers became more interested in the BIM benefits in addressing the construction delays, including the employer delays.

Table 7: A timeline progress review for construction delay aspects addressed in the previous studies for traditional projects.

Year period
Research papers (traditional projects)
Review/progress discussion

2007–13
Zou et al. [92]; Tumi et al. [11]; Olawale and Sun [109]; Motaleb and Kishk [73]; Oshodi Olalekan and Rimaka [80]; Pai and Bharath [84]; Kamanga and Steyn [86]; Akogbe et al. [105]; Alinaitwe et al. [106]
Tumi et al. [11] in 2009 have included almost 18 employer-related delay factors such as improper planning, lack of effective communication, design errors, date of notice to proceed, and project management issues. However, for the targeted research papers between 2007 and 2013, employer-related delay factors have been either not considered or considered partially with regard to managerial aspects, social aspects, technical aspects, financial aspects, contractual aspects, and environmental aspects.

2014–16
Muhwezi et al. [74]; Rahimipour and Shahhosseini [77]; Tawil et al. [79]; Amoatey et al. [81]; Shehu et al. [83]; Gajare and Attarde [85]; Bekr [87]; Khan [76]; Al-Emad and Nagapan [88]; Dontul et al. [94]; Suksai et al. [89]; Van et al. [91]; Kim et al. [102]; Gunduz et al. [111]; Ballesteros-Pérez et al. [114]; Emam et al. [72]; Samarah and Bekr [14]; Shah [75]; Upadhyay et al. [78]; Rauzana [82]; Addo [93]; Senouci et al. [95]; Samarghandi et al. [96]; Assbeihat [97]; Megha and Rajiv [98]; Khattri et al. [100]; Alhajri and Alshibani [101]
It is still a fact that the employer-caused delay aspects have been either not addressed or partially addressed. For instance, Muhwezi et al. [74] have considered 15 employer-caused delay factors such as corruption tendencies, change orders, delay in payments, and delay in approving design documents.

2017–18
Al-Hazim et al. [71]; Islam and Trigunarsyah [90]; Alamri and Amoudi [99]; Sohu et al. [103]; Famiyeh et al. [107]; Maués et al. [113]; Tafazzoli and Shrestha [115]; Wang et al. [116]; Al Hadithi [104]; Damoah and Kumi [108]; Zidane and Andersen [110]; Zidane and Andersen [112]
It is still a fact that the employer-caused delay aspects have been either not addressed or partially addressed. For instance, Wang et al. [116] have reviewed the construction delay in the Chinese building projects in which 14 employer-caused delay factors have not been considered, such as employer interference, employer variations/changes in scope, and defective materials provided by the employer.

2019–21
Abbasi et al. [117]; Arantes and Ferreira [118]; Muneeswaran et al. [119]; Bajjou and Chafi [120]
The number of employer delay factors (the targeted research papers between 2019 and 2021) are 10, 9, 11, and 5. Abbasi et al. [117] have managed to address the financial delay factors aspects in total. They managed to address the delays in financial factors such as “problems in financing and providing sufficient and stable cash flow during the construction phase and financial problems and delays in payments for completed work.”

Table 8: A timeline progress review for construction delay aspects addressed in the previous studies for BIM-enabled projects.

Year period
Research papers (BIM-enabled projects)
Review/progress discussion

2007–13
Latiffi et al. [36]; Kulatunga et al. [128]; Mahamid [4]; Tan and Ghazali [129]; Oshodi Olalekan and Rimaka [80]; Sutrisna [130]; Motaleb and Kishk [73]; Gardezi et al. [56]; Shebob et al. [1]; and Tumi et al. [11]
BIM-related research target papers between 2007 and 2013 have not reviewed the construction delay in all aspects. For instance, Latiffi et al. [36] have considered reviewing the BIM application in Malaysian construction, but they did not consider the subject of the construction delay in BIM applications

2014–16
Ma et al. [39]; Zhang et al. [41]; Kekana et al. [67]; and Aladag et al. [68]
Slight progress in considering the construction delay factors and the employer-related delay factors is noticed for the BIM-enabled project. For instance (for targeted papers for the years between 2014–2016), Aladag et al. [68] have considered some of the employer delay factors that complicate or obstruct using BIM in controlling employer delays, such as lack of employer demand and motivation to use BIM and additional cost arising from the BIM use. However, the level of consideration for the employer delay factors in BIM-enabled projects is still partial

2017–18
Ham et al. [33]; Maués et al. [113]; Btoush & Harun [35]; Bui [38]; Jia et al. [40]; Won et al. [52]; Hamada et al. [50]; Wang et al. [116]; Chou and Yang [53]; Chou and Chen [54]; Charehzehi et al. [57]; Alenazi and Adamu [58]; Li et al. [62]; Li et al. [62]; Grzyl [65]; and De Matosand de Oliveira Miranda [69]
More advancement progress in the construction delay factors and the employer-related delay factors are noticed for the BIM-enabled project. For instance, Hatem et al. [55], Charehzehi et al. [57], and Liao et al. [61] have considered the employer-delay factors in the BIM research papers, which are concerning the construction delay.

2019–21
Al-Ashmori et al. [45]; Grzyl et al. [65]; Bui [38]; Hatmoko et al. [51]; Liao et al. [61]; Macariola and Silva [43]; Tanoli et al. [42]; Zhou et al. [60]
Liao et al. [61] have managed to review and study many construction barriers to implement BIM in the construction projects, such as “executives failing to recognize the value of BIM-based processes and needing training, Resistance to changes in corporate culture and structure.”

After the delay aspects were identified, a thorough review of the previous studies related to construction delays was considered to gather the employer-caused delay factors collectively. Thirty-one employer-caused delay factors were gathered and categorized, as listed in Table 9.

Table 9: Employer-caused delay factors sorted under the proposed delay aspects.

Delay group/delay aspect
Employer-caused delay factors

Managerial aspects
Delay in approving changes in the scope of work and specifications

Lack of communication between all parties, including the employer

Slowness in the decision-making process by the employer

Failure to treat delays during project implementation

Suspension of work by the employer

Unreasonable constraints imposed by the employer

The poor organizational structure of the employer’s organization

Delay in furnishing and delivering the site to the contractor by the employer

Lack of early planning for the project

Delay in supply of material by the employer

Delay in tendering system requirements

Social aspects
Delay in acquiring land from citizens

Bureaucratic hurdles in the employer’s organization

Technical aspects
Application of quality control based on foreign specifications

Lack of experience of the employer in construction projects

Irregular attendance in the weekly meeting

Wrong selection of site by the employer

Financial aspects
Delay in the progress of payments by the employer

Underestimation of the cost of projects

Insufficiency of the budget available with the employer

Improper investment criteria and feasibility study by the employer

Contractual aspects
Contract modifications and site changes by the employer

Type of project bidding and awarding

Unavailability of incentives for the contractor for finishing ahead of schedule

Ineffective delay penalties

Damaging penalties imposed on the contractor

Late contract awarding

Problems with claims

Delay by the employer in approving completed work (i.e., stage passing)

Claims arising from late compensation for land acquisition

Short original contract duration

In the fourth step, BIM implementation strategy factors were collected from the literature review, and BIM barriers or obstacles are also obtained. In this step, the BIM factors that specifically help employers address their delay and the delay risk are collected. Tables 10 and 11 list the BIM implementation strategy factors and BIM barrier factors gathered collectively from an overall review of 130 research papers on the use of BIM in construction. In the fifth step, the research framework is established based on the previous studies’ results. It is suggested that the relationships between the success factors and employer-caused delay factors be analyzed while defining hypothesis relationships to establish a proper understanding of the relationships between the employer-caused delay factors and their relevant success factors. This is suggested to ensure that the BIM implementation strategy and BIM barrier factors are considered in the present study.

Table 10: BIM implementation strategies for employer-caused delay factors.

BIM implementation strategy factors for employer-caused delay factors
References to previous studies (year)

Implementation of BIM by the employer to avoid design clashes
Latiffi et al. [37], Khoshnava et al. [32], Tahir et al. [48], Alenazi and Adamu [58], Crowther and Ajayi [131], Charehzehi et al. [57], and Jununkar et al. [132]

Implementation of BIM by the employer for early warning of delay through earned value analysis and connection of BIM to schedule
Sun et al. [133], Latiffi et al. [36], and Jununkar et al. [132]

Implementation of BIM by the employer for construction planning and management
Khoshnava et al. [32] and Tahir et al. [48]

Implementation of BIM by the employer to monitor the impact of changes on project progress
—

Implementation of BIM by the employer to reduce claims by utilizing a combination of responsibility matrix of claim causes and a five-dimensional BIM model for visualizing and foreseeing project areas having claims or even potential of claims
Marzouk and Abdelaty [19]

Implementation of BIM by the employer for schedule visualization
Khoshnava et al. [32] and Tahir et al. [48]

Implementation of BIM to support proper decision-making for any anticipated changes

Implementation of BIM by the employer to reduce project duration through various simulated proposals
Alenazi and Adamu [58]

Implementation of BIM by the employer to use algorithmic procedures to learn from previous problems and proactively identify same/similar problems later on in the project
Crowther and Ajayi [131]

Table 11: BIM barrier factors for employer-caused delay factors.

BIM barrier factors for employer-caused delay factors
References to previous studies (year)

Legal and contractual challenges (ownership of data and traditional procurement methodology)
Chien et al. [22], Eadie et al. [26], and Azhar et al. [25]

Cost implications at the outset of BIM implementation on purchase of software licenses, hardware upgrade, and training cost and time
Gerges et al. [134] and Matarneh and Hamed [135]

Uncertainty regarding benefits and return on investment
Azhar et al. [25]

Lack of contractual arrangements
Harrison and Thurnell [136] and Banawi [137]

Lack of BIM specialists
Bui [38] and Gerges et al. [134]

Difficulties in managing changes in BIM
Chien et al. [22] and Azhar et al. [25]

Drastic changes in the organizational chart and workflow because of BIM implementation
Volk et al. [138]

Figure 3 presents the proposed research model to establish an understanding of the relationships between the employer-caused delay factors and their success factors by considering the project benchmark characteristics (PBCs), external project environments (PEEs), BIM implementation strategy factors (BSFs), and BIM barrier factors (BBs) as moderators for the relationship model. The employer-caused delay model-success relationships form an essential part of the framework to address employer-caused delays; principally, the model illustrates the relationships among the delay-success data collected from a questionnaire that needs to be developed in the literature review. In principle, the moderator model tests whether the dependent and independent variables’ predicted relationship differs during interference by other independent variables. The moderator variables affect the strength or direction of the relationship outcome. PBCs and PEEs affect the relationship between success factors and project delays [128–130, 139]. The external environmental factor contains external factors that positively or negatively influence the project’s performance [140]. Moreover, according to several researchers, project size, project value, uniqueness of activities, project density, and project urgency are considered as major critical factors influencing project success [41, 83, 129, 130, 139]. Table 12 summarizes the factors of both the PBCs and PEEs moderator groups.

Figure 3: Conceptual model for success factors and employer-caused delay factors with moderators of BIM implementation strategy factors and BIM barrier factors.

Table 12: Moderator groups affecting relationship between delay and success factors.

Group
Item description

PBCs
The high value of the project

The large size of the project

Complexity and uniqueness of project activities

The urgency of the project outcome

Project type (new, existing, maintenance)

PEEs
Physical environment aspects such as location, soil works, and availability of proper infrastructure

Climate matters such as winds, rains, high humidity, and high temperature

Social and cultural interferences such as population demographics, educational levels, norms and values, and language and attitudes

Economic and financial aspects such as price and local currency value

Bureaucratic interference

5. Results and Discussion

5.1. Research Gaps in Terms of Continents and Project Types

Table 13 indicates that most of the papers are related to Asia (72.3% with +55.7% variance from the average). In comparison, the corresponding contributions are 20.3% (3.7% variance) for Africa, 1.6% (−15.0% variance) for Oceania, 3.1% (−13.5% variance) for Europe, 0.8% (15.8% variance) for South America, and 1.9% (−14.7% variance) for Central and North America. Even though most previous studies on construction delays were related to Asia and Africa, these studies have, in most cases, adopted similar approaches such as studying similar types of projects and addressing the same group of delay factors.

Table 13: Distribution percentages of population papers obtained in literature search.

Continent
Number of papers
Percentage per continent (%)
Linear variance from average (%)

Africa
52
20.3
+3.7

Asia
185
72.3
+55.7

Europe
8
3.1
−13.5

Oceania
4
1.6
−15.0

South America
2
0.8
−15.8

Central and North America
5
1.9
−14.7

Total
256
Average = 16.6
—

Table 14 seems to suggest a lack of research related to delays in the construction of airports, modular structures, oil and gas projects, power projects, and water/sewer/irrigation projects, with the percentages of papers on these projects being 0%, 0%, 2.8%, 2.8%, and 1.4%, respectively. The project type is not identified in 46.6% of the reviewed papers.

Table 14: Mapping project types for papers on construction delay.

Project type
Number of papers
Percentage (%)

Residential buildings
6
8.4

Commercial buildings
5
7.0

Industrial buildings
2
2.8

Private
1
1.4

Public
13
1.8

Airports
0
0

Oil and gas
2
2.8

Other infrastructure
7
9.8

Modular structures
0
0

Power
2
2.8

Water/sewer/irrigation
1
1.4

General
32
45

Total
71
—

This study has uncovered two crucial research gaps and insights from the comprehensive review. First, most of the previous studies on construction delays are from Asia. The common delay factors in Asia are mainly related to variations in orders, procurement problems, and financial difficulties. Specifically, variations in orders are the most common factor among the top 10 delay factors. The high incidence of variations in Asia orders is probably because the employers chose to commence the project early. At this time, the design drawings are not yet sufficiently detailed to prevent or reduce the need for future requirements, thereby leading to variations in orders during the construction stage. Africa has the second largest number of papers published on construction delay. Financial difficulty is the most common construction delay factor, followed by payment and material procurement delays. Financial difficulty ranks first, probably because of the lack of a proper funding system. In summary, the rankings of typical delay factors and their nature differ for each continent, mainly because of variations in the type and size of projects, construction methods, availability of precise construction specifications, construction cultures, quality standards, and funding methods.

5.2. Research Gaps in Terms of Delay Aspects

According to the proposed definitions, delay aspects are not adequately addressed by considering each aspect’s complete characteristics while identifying the matrix for the relevant delay factors obtained from studies. For example, most previous studies partially address the social aspect by considering an incomplete set of social delay factors in questionnaires. The delay factors in the reviewed papers do not cover all the phases from tendering to final construction. This scientific gap has encouraged the researchers of the present study to investigate the extent to which the previous studies have addressed the delay factors and to suggest an outline to address the gaps.

Table 15 summarizes the research gaps in the reviewed target papers concerning the delay aspects. For instance, environmental aspects are partially considered in most cases. For example, Muhwezi et al. [74] included the factor “Natural disasters (flood, hurricane, earthquake)” only, whereas Tawil et al. [79] only considered “Bad weather conditions” and “Natural disasters” under environmental aspects. Concerning contractual aspects, Muhwezi et al. [74] included incomplete contractual delay factors such as “Inadequate definition of substantial completion,” “Slowness in decision-making,” “Legal disputes between project participants,” and “Ineffective delay penalties.” Concerning technical aspects, for example, Khan [76] included the factors of “Inadequate planning and scheduling,” “Inadequate contractor experience,” “Lack of coordination at the site,” “Contractor’s lack of planning at preconstruction,” “Poor site management and supervision,” “Unsuitable management structure of the contractor,” “Lack of communication,” “Inappropriate overall organization structure,” “Poor managerial skills,” “Inadequate control over site resource allocation,” “Unsuitable leadership of contractor’s management,” and “Improper incentive policy.” Social aspects are also only partially considered. Muhwezi et al. [74] addressed social factors such as “Strike” and “Personal conflicts among the labor force.” In summary, this review highlights the collective scientific gaps in the research on delay factors for future consideration in a holistic study of delay factors.

Table 15: Summary of research gaps for construction delay factors.

Factor/aspect
Position
Summary of review

Environmental aspects
P, N, ×
Partially addressed, not addressed, not mentioned

Contractual aspects
P, N, ×
Partially addressed, not addressed, not mentioned

Financial aspects
P, N, ×
Partially addressed, not addressed, not mentioned

Technical aspects
P, N, ×
Partially addressed, not addressed, not mentioned

Managerial aspects
P, N, ×
Partially addressed, not addressed, not mentioned

Social aspects
P, N, ×
Partially addressed, not addressed, not mentioned

Project phases
×
Not mentioned

×: delay factors are not listed in the research paper context; N: delay factors are not identified; P: delay factors are partially identified in the paper’s context.

Many of the reviewed papers did not identify the respondent sample size, which might have affected the work quality and the results’ reliability. Amoatey et al. [81] briefly mentioned that they used a purposive sampling approach; however, they did not explain how the sample was determined. Alaghbari et al. [70] used simple random sampling without mentioning the mathematical model or the equation used in this regard.

5.3. Research Gaps for BIM in Terms of Employer-Caused Delay Factors

Few papers have addressed employer-caused delay factors using BIM. For instance, Btoush and Harun [35] published a paper on minimizing Jordanian construction projects’ delays using BIM technology. They introduced three leading delay causes in the Jordanian construction industry and the corresponding BIM strategies to mitigate them; for example, hiring BIM specialists to divide the design phase into sections to address poor design choices. However, employer-caused delay factors have not been addressed adequately. El-Hawary and Nassar [141] reviewed the effect of BIM on reducing or avoiding construction claim causes; here, they studied a limited number of employer-caused delay factors such as poor communication, changes in the scope of the project, slow decision-making, payment delay, and errors and defects in the contract. The present researchers have found 38 research papers related to BIM related to a specific country or continent; most of these papers address BIM subjects in Asian countries.

Figure 4 presents a comparative chart showing the number of employer-caused delay factors addressed in traditional and BIM-enabled target papers for continents worldwide. For instance, in papers from Asia, 26 employer-caused delay factors are found for traditional projects, whereas only 11 factors are found for BIM-enabled projects. Similarly, for papers from Africa, 18 employer-caused delay factors are found for traditional projects, whereas no factors are found for BIM-enabled projects. However, it is essential to note that the graph percentages are calculated concerning the total number of employer delay factors separately in each project type.

Figure 4: Percentage of employer-caused factors for traditional and BIM-enabled projects in different continents.

From the perspective of BIM barriers and implementation strategies, ten BIM implementation strategy factors and seven BIM barrier factors that are considered directly related to the employer are collected. We believe that these factors have a direct influence on the relationship between the employer-caused delay factors and their corresponding success factors and propose a model (Figure 3) in which the relationships between employer-caused delay factors and success factors can be identified along with the effects of the BIM implementation through a well-designed questionnaire for a sufficient sample size. However, it is also suggested that the model should be created for continents and project types that lack sufficient research, as identified earlier in the paper.

Overall, this paper reveals the research gaps for the specific continents. It also presents a conceptual structural equation model to study the employer-caused delay-success relationships in the continents where research gaps. In summary, the paper presents the first review of comprehensive literature on delay factors and employer-caused delay factors in the construction industry. The study findings are expected to help researchers and practitioners to cope with unforeseen challenges in construction projects, particularly in cross-national projects.

5.4. Research Framework

The research framework’s objective is to identify methods to minimize the effects of delays in construction projects. Particularly, the framework focuses on methods that can prevent or reduce employer-caused delays. It is worth mentioning that a majority of the previously proposed methods to reduce the delay have focused on various management tools, whereas some methods have placed the onus on using some directional procedures to control or reduce construction delay. Figure 5 illustrates the overall structure of the research framework, which is the first to address construction delay problems by studying the relationships between the delay and success factors related to the employer, reviewing the best tool to implement the success factors, and reviewing and measuring the implementation output.

Figure 5: Research framework.

This framework has modified and adopted Cooper’s [142] five-gate framework for significant new projects. This framework can be summarized in terms of the following main phases: scoping identification, concept development, framework development, framework evaluation, and final framework development. For each phase, the activity, analysis, and outcome should be identified to build a successful framework. The proposed framework adopts a combined methodology to establish a four-stage process to address the delay problem. Stage 1 involves data collection and the development of a delay-success relationship model; here, a questionnaire is used to collect data. Stage 2 involves an action plan to implement the success factors; here, a more convenient tool to implement the success factors is determined based on the questionnaire results. Stage 3 involves reviewing and evaluating the success factor implementation using the procedure suggested by Discenza and Forman [143] and Kikwasi [144]. Stage 4 involves the measurement of success based on the findings obtained from stage 2. The implementation stage is initiated only when the goals are achieved using the KPI method.

Finally, the influences of the BIM implementation strategy factors and BIM barrier factors on the delay-success model should be reviewed and studied based on their use as moderators for the model. The multivariate analysis of the variance method is proposed to establish the relationship between countries’ results and project types with the most research gaps.

5.5. The Theoretical and Practical Contribution to the Construction Industry

From the theoretical standpoint, this study managed to identify research gaps in some projects such as airports and modular structures from the theoretical perspective. Conducting a holistic review of the leading delay factors in these projects will add a momentous influence to minimize these projects’ delay. The limited studies in construction delays in Europe, Oceania, Central, and North America have uncovered a research avenue for academic researchers to investigate the construction delays in Australia, the United States of America, and the United Kingdom.

Given that construction delays are a typical phenomenon worldwide, many studies have discovered common reasons for construction delays. The proposed framework renders specific practical strategies to address delays in BIM-enabled projects. Identifying the delay-success relationships, constructing a delay-success correlation model, providing the most convenient action plan to implement success, and reviewing it will significantly contribute to the construction delay market to minimize or address the employer-caused delay in BIM-enabled projects.

6. Conclusion

The present study focuses on the problem of employer-caused delays. These delays have many consequences such as cost and time overruns, reduced quality of completed projects, and abandonment or cancellation of projects. All these consequences lead to additional budget or associated costs. This study successfully conducted a comprehensive review of construction delays caused by the employer in specific countries in different continents worldwide by thoroughly surveying 59 research papers related to construction delay and 38 research papers related to BIM delay. The study then developed a research framework to articulate the research gaps and establish a well-defined relationship between the employer-caused delay factors and success factors considering the effects of BIM implementation strategies and barriers. The framework establishes a delay-success model hypothesis considering the available moderators such as BIM implementation factors, BIM barriers, external environmental project factors, and project characteristic factors.

The study results show that some continents show a lack of published studies from construction, some project types are missing, and delay aspects are incompletely covered; all these gaps require further research in the future. This research’s findings can be generalized to cover all types of delay aspects, delay sources (i.e., employers, contractors, and consultants), and project types.

Airports, modular structures, and power projects have been identified in this research as project types for which no previous studies have been conducted. Most of the previous studies from the field of construction are from Asia and Africa; specifically, papers from these continents comprise 84% of the target papers. In comparison, papers from Oceania comprise only 3.1% of the total target papers (59 papers). The lack of previous studies related to BIM construction delay is also presented, which appears to be in some regions such as Oceania, Europe, and North America.

This paper has introduced a research framework for the BIM effects on project success from the perspective of employer-caused delay factors. The proposed framework is designed in three parts. It is expected to provide a new dimension to construction project management and serve as a guide for employers to address the challenges of delays caused by them more effectively. The management framework application will help minimize the delays, support effective project monitoring, and handle problems.

Certain limitations of this study need to be considered and clarified. The results and conclusions are limited to the scope of the target papers. New delay causes can be extracted from different scientific papers. Nevertheless, the target papers’ sample size has been selected correctly, reflecting the research results’ validity and importance. Besides, the findings are related only to papers published in English. Only published papers are considered; that is, theses, reports, and periodicals are excluded.

Data Availability

All data, models, and codes generated or used during the study appear in the submitted article.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

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