Technological Capabilities of Departments of Transportation for Digital Project Management and Delivery

Dadi, Gabriel B.; Nassereddine, Hala; Taylor, T. H.; Griffith, Rogers C.; Ramadan, Bassam

doi:10.17226/26738

Cited by 10 publications

(6 citation statements)

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“…While security and privacy was only investigated for four technologies, it can be noticed that the factor had a relative increase over time and was investigated in all Blockchain studies. This factor is expected to gain even more momentum as more industry research and legal discussions are being tailored towards confidentiality, integrity, fraud, theft, risks when accessing common platforms, data ownership and governance, and security breaches [140][141][142]. This also becomes especially important with technologies that create, store, and share sensitive and private information like Blockchain which encompasses digital ledgers and financial transactions [143].…”

Section: Technology Decision-making Factorsmentioning

confidence: 99%

Determining Decision-Making Factors for Technology Adoption in the Construction Industry

Bou Hatoum,

Nassereddine

2024

Artificial Intelligence

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Construction organizations have been undergoing major efforts as the industry acknowledges the need to improve and change its traditional business-as-usual model. Inspired by the wave of technological advancement brought forward by the fourth industrial revolution (i.e., Industry 4.0 or its construction counterpart known as Construction 4.0), the need to investigate and successfully exploit technologies has never been more critical for construction researchers and practitioners. One research topic that remains limited pertains to the organizational aspect of successful technology adoption and the impact on the business environment in which the organization operates. To address the gap, the study utilizes the Technology-Organization-Environment (TOE) framework and synthesizes the existing research corpus to develop a comprehensive list of 23 decision-making factors for construction organizations to evaluate when adopting technologies. The study also offers an overview of existing research on the adoption of Construction 4.0 technologies, proposes 97 potential measures to evaluate the factors, and provides a discussion of the research trends. Accordingly, findings from this study can lay the foundation for decision-making processes and frameworks as technology adoption research grows and change efforts expand across the construction industry.

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Section: Technology Decision-making Factorsmentioning

confidence: 99%

Determining Decision-Making Factors for Technology Adoption in the Construction Industry

Bou Hatoum,

Nassereddine

2024

Artificial Intelligence

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“…In the construction industry, while many attribute low productivity to craft workers, any problems are more likely to be caused by the lack of adequate supervision and failure of frontline supervisors to provide the necessary planning, information, support, and motivation (Howell, 1999). Frontline supervisors have a critical responsibility of ensuring safe and healthy work practices, and they create the missing communication link between management and the craft workforce (Uwakweh, 2005;Oswald and Lingard, 2019;Ramadan et al, 2022). Multiple studies have extensively highlighted the importance and major influence frontline supervisors have on construction productivity (Liberda et al, 2003;Hewage et al, 2011;Gerami Seresht and Fayek, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, recent trends show that the construction workforce has been aging rapidly, aggravating the labor shortage challenge and negatively impacting project performance in terms of cost, schedule, and safety (Taylor et al, 2016). Additionally, the construction industry lacks workforce diversity, particularly gender diversity, where women make up only 4% of the construction craft workforce in the US (US Bureau of Labor Statistics, 2021; Ramadan et al, 2022). Furthermore, the industry has not been able to consistently attract and retain skilled workers due to industry image problems, insufficient training, and an aging workforce (Tucker et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

“…Radio Frequency Identification (RFID) chip tracking facilitates the control of construction processes throughout the lifecycle of a project using the efficient tracking of construction materials, resources, equipment, components, and systems (Valero et al, 2015). Building Information Modeling (BIM) has been found to allow faster, more efficient, and more accurate planning and construction, increasing productivity as well as cost and time savings, and enabling simultaneous contribution to the system from all project stakeholders (Guo et al, 2017;Torres et al, 2018;Dadi et al, 2022). Artificial intelligence has helped contribute to the improvement of services and business operations, and improved automation processes of companies to give them a competitive advantage (Abioye et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Impact of technology use on workforce performance and information access in the construction industry

Ramadan

Nassereddine

Taylor³

et al. 2023

Front. Built Environ.

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For decades, labor shortage has been a consistent struggle in the construction industry. At the same time, technological innovations have played a central role in the growth and development of an increasingly diverse construction industry. Existing research indicates that technological adoption is crucial for enhancing project productivity. Despite the importance and potential benefits of technology use, no research has yet studied how technology use on-site impact the worker’s performance and the difficulty of the process to access needed information. The objective of this paper is to analyze and understand the impact of on-site technology use on 1) the self-evaluated performance record (including safety, attendance, quality, productivity, and initiative), and 2) the difficulty of the process to access information, of construction workers and frontline supervisors in the construction industry. To achieve the research objective, 2,780 construction craft workers and frontline supervisors were surveyed using an online questionnaire. The survey participants were asked to self-evaluate 1) their work personal performance record (including safety, attendance, quality, productivity, and initiative), and 2) the difficulty of the process to receive or get access to information. The participants were additionally asked to specify whether different listed information technologies, material technologies, and equipment technologies are used on site. The collected data was then analyzed. Key findings indicate that the on-site use of several technologies had statistically significant impact in increased worker performance and information access. This study contributes to the body of knowledge by empirically quantifying the impact of on-site technology use on worker performance and information access in the construction industry.

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“…These six practices are data collection, data handling, data flow, data transfer, data governance, and data integration (12). This can be achieved by improving the state DOTs' technological capabilities by adopting emerging technologies (13).…”

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confidence: 99%

Departments of Transportation Efforts to Digitize Ancillary Transportation Asset Data: A Step Toward Digital Twins

Ammar

Maier²,

Catchings

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The mission of state Departments of Transportation (DOTs) has evolved, and their perception has shifted from focusing on constructing new assets to managing and maintaining existing transportation assets and optimizing asset performance. In response to this change, state DOTs began adopting a “transportation asset management” approach, an intensive data-driven decision-making process to maintain and extend the serviceability of transportation assets throughout their lifecycle. However, state DOTs continue to face challenges in conducting cross-asset system analysis and integrating data across systems throughout the asset lifecycle. Conversely, emerging technologies, namely Digital Twins, have the potential to leverage the value of asset data and transform data into valuable insights to inform decision-making. The definition of Digital Twins in the infrastructure industry is inconsistent, and the transition toward a digitized built environment—a preliminary step required for a successful implementation of Digital Twins—has not been investigated. Thus, this paper presents the burning platform for the need for Digital Twins and defines the concept. Additionally, this study investigates the current practices of state DOTs toward the digital transition of their transportation asset data and contextualizes the DOTs’ maturity in the advancement of digital processes. This paper focuses on ancillary asset systems, particularly Roadside, Electronic, and Drainage Asset systems. A web-based survey was developed and distributed to state DOTs for data collection. For each asset, the perceived timeline for digitization was investigated, and three variables related to data digitization were explored: data format, data level of detail, and data collection technique.

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Technological Capabilities of Departments of Transportation for Digital Project Management and Delivery

Cited by 10 publications

References 0 publications

Determining Decision-Making Factors for Technology Adoption in the Construction Industry

Determining Decision-Making Factors for Technology Adoption in the Construction Industry

Impact of technology use on workforce performance and information access in the construction industry

Departments of Transportation Efforts to Digitize Ancillary Transportation Asset Data: A Step Toward Digital Twins

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