Design science research in construction management: multi-disciplinary collaboration on the SightPlan system

Tommelein, Iris D.

doi:10.1080/01446193.2020.1718723

Cited by 6 publications

(7 citation statements)

References 32 publications

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“…Meanwhile, the DSR has found application within the built environment research field, such as in a study by Tommelein (2020), who applied the DSR methodology to develop a SightPlan framework that can model the various strategic decisions of each stakeholder and modifies it towards arriving at a more holistic construction site layout plan. Others include the development of a planning and control model for prefabricated buildings (Kensek, 2012) and a labour workspace analysis tool (Schumacher et al, 2016).…”

Section: Methodsmentioning

confidence: 99%

Cloud-based sustainability assessment (CSA) system for automating the sustainability decision-making process of built assets

Olawumi

Chan

2022

Expert Systems with Applications

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Section: Methodsmentioning

confidence: 99%

Cloud-based sustainability assessment (CSA) system for automating the sustainability decision-making process of built assets

Olawumi

Chan

2022

Expert Systems with Applications

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“…DSR concerns itself with the designing and making of artefacts to fulfill a purpose, testing and validating that those artefacts serve the intended purpose and do not have unintended consequences, and then improving the artefacts as needed (March and Smith, 1995). Design science research (DSR) is driven by field problems or opportunities because it believes instrumental knowledge is developed by deep engagement with these real-life problems or opportunities (van Aken et al, 2016). DS has been applied in multiple domains related to this paper, including construction management (Tommelein, 2020;Voordijk, 2009), construction informatics (Chu et al, 2018;Fang et al, 2018), information systems (March and Smith, 1995;Peffers et al, 2007) and operations management (van Aken et al, 2016).…”

Section: Design Science Researchmentioning

confidence: 99%

“…Design science research (DSR) is driven by field problems or opportunities because it believes instrumental knowledge is developed by deep engagement with these real-life problems or opportunities (van Aken et al, 2016). DS has been applied in multiple domains related to this paper, including construction management (Tommelein, 2020;Voordijk, 2009), construction informatics (Chu et al, 2018;Fang et al, 2018), information systems (March and Smith, 1995;Peffers et al, 2007) and operations management (van Aken et al, 2016). Hartmann and Trappey (2020) have called for researchers in advanced engineering informatics to approach problems in a "bottom up manner closely involving engineering practitioners" while making use of social science methods to help formalize and validate knowledge.…”

Section: Design Science Researchmentioning

confidence: 99%

Section: Departurementioning

confidence: 99%

“…To accomplish this, we follow a design science research (DSR) methodology. DSR is driven by deep engagement with the real-life problems or opportunities of potential users (van Aken et al, 2016). By providing a structured approach to designing a solution to fulfill a purpose, testing and validating that the solution does serve the intended purpose and then improving the solution as needed (March and Smith, 1995), DSR represents one method to conduct "bottom-up" engineering informatics research in conversation with engineering practitioners (Hartmann and Trappey, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

From crowd to cloud: simplified automatic reconstruction of digital building assets for facility management

Selvakumaran

Hall

2022

JFM

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Purpose The purpose of this paper is to investigate the feasibility of an end-to-end simplified and automated reconstruction pipeline for digital building assets using the design science research approach. Current methods to create digital assets by capturing the state of existing buildings can provide high accuracy but are time-consuming, expensive and difficult. Design/methodology/approach Using design science research, this research identifies the need for a crowdsourced and cloud-based approach to reconstruct digital building assets. The research then develops and tests a fully functional smartphone application prototype. The proposed end-to-end smartphone workflow begins with data capture and ends with user applications. Findings The resulting implementation can achieve a realistic three-dimensional (3D) model characterized by different typologies, minimal trade-off in accuracy and low processing costs. By crowdsourcing the images, the proposed approach can reduce costs for asset reconstruction by an estimated 93% compared to manual modeling and 80% compared to locally processed reconstruction algorithms. Practical implications The resulting implementation achieves “good enough” reconstruction of as-is 3D models with minimal tradeoffs in accuracy compared to automated approaches and 15× cost savings compared to a manual approach. Potential facility management use cases include the issue and information tracking, 3D mark-up and multi-model configurators. Originality/value Through user engagement, development, testing and validation, this work demonstrates the feasibility and impact of a novel crowdsourced and cloud-based approach for the reconstruction of digital building assets.

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Design, development, and evaluation of a virtual reality game-based application to support computational thinking

Agbo

Oyelere

Suhonen

et al. 2022

Education Tech Research Dev

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Computational thinking (CT) has become an essential skill nowadays. For young students, CT competency is required to prepare them for future jobs. This competency can facilitate students’ understanding of programming knowledge which has been a challenge for many novices pursuing a computer science degree. This study focuses on designing and implementing a virtual reality (VR) game-based application (iThinkSmart) to support CT knowledge. The study followed the design science research methodology to design, implement, and evaluate the first prototype of the VR application. An initial evaluation of the prototype was conducted with 47 computer science students from a Nigerian university who voluntarily participated in an experimental process. To determine what works and what needs to be improved in the iThinkSmart VR game-based application, two groups were randomly formed, consisting of the experimental (n = 21) and the control (n = 26) groups respectively. Our findings suggest that VR increases motivation and therefore increase students’ CT skills, which contribute to knowledge regarding the affordances of VR in education and particularly provide evidence on the use of visualization of CT concepts to facilitate programming education. Furthermore, the study revealed that immersion, interaction, and engagement in a VR educational application can promote students’ CT competency in higher education institutions (HEI). In addition, it was shown that students who played the iThinkSmart VR game-based application gained higher cognitive benefits, increased interest and attitude to learning CT concepts. Although further investigation is required in order to gain more insights into students learning process, this study made significant contributions in positioning CT in the HEI context and provides empirical evidence regarding the use of educational VR mini games to support students learning achievements.

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Design science research in construction management: multi-disciplinary collaboration on the SightPlan system

Cited by 6 publications

References 32 publications

Cloud-based sustainability assessment (CSA) system for automating the sustainability decision-making process of built assets

Cloud-based sustainability assessment (CSA) system for automating the sustainability decision-making process of built assets

From crowd to cloud: simplified automatic reconstruction of digital building assets for facility management

Design, development, and evaluation of a virtual reality game-based application to support computational thinking

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