Potential Influencing Factors Related to Digitalization of Construction-Phase Information Management by Project Owners

Jahanger, Qais K.; Louis, Joseph; Trejo, David; Pestana, Catarina

doi:10.1061/(asce)me.1943-5479.0000903

Cited by 15 publications

(6 citation statements)

References 23 publications

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“…The Jordanian construction sector also experiences such delays in implementing digitalization (Alabbadi, 2022;Alweshah, 2022). However, it is necessary to identify such obstacles that limit digitalization implementation ( Jahanger, et al, 2021b).…”

Section: Literature Review Background and Overview Of The Constructio...mentioning

confidence: 99%

“…However, it is necessary to identify the factors that limit the successful implementation of DCIM. Considering this, Jahanger, et al (2021b) identified a series of factors that hinder the implementation of DCIM. Adequate support from institutions, the system's adequacy to business needs, the degree of the project's complexity, and financial requirements were the main factors behind DCIM delay implementation.…”

Section: Technology Adoption In the Construction Industry As Part Of ...mentioning

confidence: 99%

“…Accordingly, administrative policies must be taken to encourage and support digitalization implementation in construction. Jahanger, et al (2021b) considered the factors based on the organization as the most crucial factors that should focus on adopting and implementing digitalization in construction. Bajpai and Misra (2021) considered that the absence of management commitment toward adoption and implementation had the highest impact on the rest of the barriers and adoption of digitalization in construction.…”

Section: Barriers To Adopting Digitalization In the Jordanian Constru...mentioning

confidence: 99%

“…Attempts to adopt digitalization have faced many international barriers that prevent its implementation. It should be noticed here that most studies (Nitithamyong and Skibniewski, 2006;Dossick and Sakagami, 2008;Lu, et al, 2014;Sweis, 2015) have focused on the contractor's adoption while neglecting other project parties ( Jahanger, et al, 2021a;2021b). Based on that, research must be continued to reveal the critical barriers from all project parties' perspectives, especially in countries such as Jordan, which has a recent experience in digitalization.…”

Section: Introductionmentioning

confidence: 99%

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Barriers to the Adoption of Digitalization in the Construction Industry: Perspectives of Owners, Contractors, and Contractors

Abu-Khader

2023

CEB

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Construction organizations are moving toward adopting digitalization in response to Industry 4.0. However, the slow adoption of digitalization has been observed. This study aimed to assess the level of digitalization adoption and evaluate the barriers to adopting digitalization in the Jordanian construction industry by all project parties in the public and private sectors. The study targets were achieved through a structured questionnaire using SPSS software for analysis through the following statistical tests: Normality test, Mann-Whitney U, Kruskal-Wallis H, and Exploratory Factor Analysis (EFA). Most respondents used software at the design stage, and less than half did not use any software during the finishing stage. Regarding the barriers, twenty barriers to adopting digitalization were identified and grouped into five factors according to their importance: barriers related to the nature and system of the construction company, barriers related to the project parties, financial barriers, barriers related to system characteristics, and barriers related to construction project characteristics. Decision-makers should take the necessary measures to overcome such barriers depending on their importance. Previous studies have focused on the contractor's adoption of digitalization while neglecting other parties. This contributed to the full adoption of digitalization from the contractor side, with a noticeable delay from other project parties. This study focused on revealing the most critical barriers to adopting digitalization in the Jordanian construction industry from all project parties' perspectives based on their ranks. Furthermore, the study recommends effective strategies to overcome barriers as an update of past research.

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Section: Literature Review Background and Overview Of The Constructio...mentioning

confidence: 99%

Section: Technology Adoption In the Construction Industry As Part Of ...mentioning

confidence: 99%

Section: Barriers To Adopting Digitalization In the Jordanian Constru...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Barriers to the Adoption of Digitalization in the Construction Industry: Perspectives of Owners, Contractors, and Contractors

Abu-Khader

2023

CEB

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“…Previous adoption studies have found that contractors are ahead of adoption, compared to project owners (Jahanger et al 2021) or designers (Murguia et al 2021a). Moreover, BIM is first adopted by large contractors, before spreading to smaller contractors and designers (Hong et al 2020).…”

Section: Introductionmentioning

confidence: 99%

BIM Adoption among Contractors: A Longitudinal Study in Peru

Murguia

Vasquez

Demian

et al. 2023

J. Constr. Eng. Manage.

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Building Information Modelling (BIM) adoption in construction remains a challenge, yet no empirical studies were conducted to gauge adoption behaviours changes over time. Such a longitudinal study of BIM adoption would be particularly significant at this pivotal point in the history of construction, as it undergoes a worldwide digital transformation. In some contexts, BIM adoption has been led by contractors without policy intervention; thus, contractors' adoption behaviours must be understood before policymakers enact top-down interventions for public construction in entire supply chains. Two cross-sectional datasets were collected in 2017 (N=303) and 2020 (N=171) in Lima to evaluate changes in a modified Technology Adoption Model (TAM) regarding BIM Adoption. Confirmatory Factor Analysis (CFA), Structural Equation Modelling (SEM), and Analysis of Variance (ANOVA) were used to analyse the data. This study shows that contractors adopt BIM if they believe that BIM helps to improve project performance, rather than their own individual performance. Similarly, contractors are concerned with the easiness of implementing BIM in firms and projects rather than the ease of learning BIM. Overall, Perceived Usefulness to Project, Perceived Ease of Implementation, and Intention to Use BIM had a significant change between 2017 and 2020. Although BIM implementation increased from 25% to 39% at the project level, the adoption at the user level has not significantly changed. This finding suggests that contractors value supply chain/project level implementation benefits rather than successful individual adoption. The results also show that contractors rely on in-house BIM teams or outsourced consultants to carry out BIM-related tasks. However, this would depict a within-firm digital divide between BIM teams and site management. The results are discussed in the context of national change as a BIM policy for public construction was announced by the Peruvian government in 2019. The findings of this research may be used by decision-makers to target specific groups of professionals on educational programmes. Policymakers could use the findings to inform roadmaps for BIM adoption in Peru and similar countries.

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Multi-objective optimization for improved project management: Current status and future directions

Guo

Zhang

2022

Automation in Construction

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Potential Influencing Factors Related to Digitalization of Construction-Phase Information Management by Project Owners

Cited by 15 publications

References 23 publications

Barriers to the Adoption of Digitalization in the Construction Industry: Perspectives of Owners, Contractors, and Contractors

Barriers to the Adoption of Digitalization in the Construction Industry: Perspectives of Owners, Contractors, and Contractors

BIM Adoption among Contractors: A Longitudinal Study in Peru

Multi-objective optimization for improved project management: Current status and future directions

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