Search results

This paper aims to explore the current condition of the Big Data concept with its related barriers, drivers, opportunities and perceptions in the architecture, engineering and construction (AEC) industry with an emphasis on facilities management (FM).

Following a comprehensive literature review, the Big Data concept was investigated through two scoping workshops with industry experts and academics.

The value in data analytics and Big Data is perceived by the industry, yet the industry needs guidance and leadership. Also, the industry recognises the imbalance between data capturing and data analytics. Large IT vendors’ developing AEC industry-focused analytics solutions and better interoperability among different vendors are needed. The general concerns for Big Data analytics mostly apply to the AEC industry as well. Additionally, however, the industry suffers from a structural fragmentation for data integration with many small-sized companies operating in its supply chains. This paper also identifies a number of drivers, challenges and way-forwards that calls for future actions for Big Data in FM in the AEC industry.

The nature of data in the business world has dramatically changed over the past 20 years. This phenomenon is often broadly dubbed as “Big Data” with its distinctive characteristics, opportunities and challenges. Some industries have already started to effectively exploit “Big Data” in their business operations. However, despite many perceived benefits, the AEC industry has been slow in discussing and adopting the Big Data concept. Empirical research efforts investigating Big Data for the AEC industry are also scarce. This paper aims at outlining the benefits, challenges and future directions (what to do) for Big Data in the AEC industry with an FM focus.

Commemorating the 15th year anniversary of discourse, knowledge dissemination in architecture and urbanism through the contributions published in Archnet-IJAR: International Journal of Architectural Research, since March 2007, this article aims to capture, unpack and categorize the key content of published research outputs during the last five years into knowledge spaces.

While referring to key statistics of various recognized databases in order to highlight the journal growth, development and performance, the approach to the analysis is inspired by Crysler's Writing Spaces: Discourses of Architecture, Urbanism and the Built Environment. This is established through a preliminary conceptual content analysis that enables the development of specific content categories representing knowledge spaces based on the overall contributions to the journal since its inception in 2007 and then mapping the recent contributions, developed over the past five years (2017–2021), to these knowledge spaces. The thrust of the analysis is to instigate a structured understanding of Archnet-IJAR role in the development and dissemination of knowledge in architecture and urbanism.

The examination of the content and the analysis reveal two broad categories of knowledge spaces: established and evolving. Established knowledge spaces are recognized in terms of theorizing architectural and urban production; the public realm and assessment of designed environments; housing, the informal and the vernacular; urban heritage and historic environments; and architectural and urban politics. Evolving knowledge spaces were acknowledged in terms of architectural education and design pedagogy; collaborative planning and community design; architectural and urban sustainability and resilience; health, wellbeing and engaging with nature; and COVID-19 spatial and pedagogical implications. Characterized by clear definition and at the same time transparent borders, the identified knowledge spaces have the potential of generating further possibilities for future knowledge spaces.

In addition to a holistic analysis based on the scrutiny of contributions as they progressed from submissions to reviews to publishing, future work would involve more systematization, in-depth engagement with metadata and should benefit from IT applications and data mining software packages.

This article is regarded as a cognizance platform and an enabling mechanism for researchers and future contributors to identify the unique particularities of their research, the nature of the content they aim to develop and the way in which that content may contribute to one or more knowledge spaces.

Establishing an understanding of the knowledge spaces which represent contributions published in Archnet-IJAR, the knowledge spaces identified demonstrate diversity and plurality; diversity in ontological interpretations of the nature of reality and plurality and pluri-epistemology in terms of how methods are pursued and the way in which such interpretations are developed, recorded, documented and communicated. These are knowledge spaces of possibilities and anticipation of growth, evolution and development.