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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.

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.

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.

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.

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.

This study aims to explore whether digital platform capabilities (integration and reconstruction) affect technological innovation through knowledge bases in the dimensions of breadth and depth and the moderating role of organisational routines updating.

Hierarchical regression, mediation effect test macro and bootstrap were conducted to empirically analyse two waves of longitudinal survey data from 179 Chinese technology firms.

Results confirmed that knowledge bases (breadth and depth) mediated the effect of digital platform capabilities (integration and reconstruction) on technological innovation and that updating of organisational routines moderated the relationship between knowledge bases and technological innovation.

These findings offer guidance to firms that aim to achieve technological innovation and advantages, highlighting the importance of digital platform capabilities, knowledge bases and organisational routines updating.

Advancing from existing digital strategies and firm innovation literature, the authors provide a new perspective (knowledge bases) to respond to the information technology (IT) paradox and understand the role of digital platform capabilities in improving technological innovation.

The general attitude of the ancient theatre conservation strategies and policies is still concerned primarily with their architectural physical appearance without considering their authentic scientific acoustical qualities. The paper attempts to illustrate and discuss how to enhance their acoustic heritage to arouse the audience's interest and needs. Thus, supporting their reconstruction based on recent acoustical research and community needs-related concerns and opportunities for ancient theatre's modern use.

It is based on reviewing the main issues related to reconstruction in the international charters and conventions and how to infuse ancient theatres with their full role. It discusses the dilemma and debates regarding the theatre stage wall, colonnade (portico) restoration and anastylosis. Is it sufficient enough to recover the theatre sound volume? Or to rethink for full physical reconstructions of these missing related acoustical theatre architectural elements to their original level and layout as in ancient times in parallel to their virtual reconstruction?

The cultural significance of the authentic theatre's acoustical qualities needs to reform the conservation strategies and policies for a more flexible and resilient approach. It should be postulated, re-examined and advocated parallel to their 3D virtual reconstruction in the related international charters and conventions.

The paper's implications are not immediate; it is far-reaching. It suggests the importance of acoustics in analysing historic theatre performance venues and reforming conservation strategies and approaches. This issue is especially critical for architects, conservators, the heritage community and the public audience.

Recommendations are made for potential bold reconstruction actions that may be taken to achieve further sustainability, comfort, and permeability in modern theatre-use performances. Their physical reconstruction for improving the performance of contemporary theatre use regarding retaining the acoustic cultural significance should be more flexible and resilient in the charters.

This study aims to examine how and when digital platform capabilities drive technological innovation from a strategic information perspective, regarding information flow and information quality as mediators and business intelligence analytics as a moderator.

This study engaged corporate executives in surveys and obtained 182 firm data and then tested the hypotheses using linear regression models and the robustness using the structural equation model.

Digital platform capabilities drive corporate technological innovation through access to strategic information, i.e. strategic information mediates between digital platform capabilities and technological innovation. Business intelligence analytics increases the influence of strategic information on technological innovation.

This study underlines the importance for companies to construct digital platform capabilities to access strategic information to achieve technological innovation and the role of business intelligence analytics in processing strategic information.

This study finds a new perspective, strategic information, to explain the mechanisms by which digital platform capabilities drive firms’ technological innovation. In addition, the robustness of the resource-based view in understanding digital platform capabilities is stressed.

The purpose of this paper is to review the application of digital holography in studies of the corrosion of metallic materials.

Digital holography is used for in situ observation of the dynamic processes at the electrode | electrolyte interface and on the electrode surface during the corrosion dissolution of metallic materials.

Digital holography is an effect method to in situ observe the corrosion processes, and it can provide a direct experimental foundation for studying the corrosion mechanism.

Even though there are several challenges, digital holography will play a significant role in studying corrosion processes.

This paper aims to propose a system to acquire images automatically for digital reconstruction of heritage artifacts using a six-degree of freedom industrial manipulator.

A virtual environment is created using Robot Studio® software to integrate the trajectory and differential motion of the robot manipulator and the motion of camera while acquiring images. A new area similarity matrix method is proposed to reduce the number of images required for digital reconstruction using Autodesk Recap® software. Real-time experiments have been performed using objects such as minion, ultimaker robot and cube. Evaluation of the digital reconstruction is conducted using the contour area matching method.

The number of images required for reconstruction based on area similarity matrix method is reduced to 63 per cent when compared with the random selection method. Quality parameters such as surface area, volume, number of defect holes, vertices and faces are enhanced for the proposed method.

Digital reconstruction of large-sized heritage artifacts cannot be performed in this setup. But this can be overcome by fixing the manipulator on a mobile platform or overhead crane. This paper does not discuss the reconstruction of partially damaged heritage artifacts, which could be accomplished based on deep learning techniques.

Using this approach, off-the-shelf heritage artifacts and large-scale objects can be reconstructed digitally with a minimum number of images and without compromising the quality of original models.

To the best of the authors’ knowledge, area similarity-based approach in 3D digital reconstruction by coupling the kinematics of an industrial manipulator and camera is proposed for the first time. A fully automated digital reconstruction technology to preserve valuable heritage artifacts has been developed. It also highlights the space constraints of the industrial manipulator in digital reconstruction.

Heritage or historic building information modelling (BIM), often referred to as HBIM, is becoming an established feature in both research and practice. The advancement of data capture technologies such as laser scanning and improved photogrammetry, along with the continued power of BIM authoring tools, has provided the ability to generate more accurate digital representations of heritage buildings which can then be used during renovation and refurbishment projects. Very often these representations of HBIM are developed to support the design process. What appears to be often overlooked is the issue of conservation and how this can be linked to the BIM process to support the conservation management plan for the building once it is given a new lease of life following the refurbishment process. The paper aims to discuss these issues.

The paper presents a review of the context of conservation and HBIM, and then subsequently presents two case studies of how HBIM was applied to high-profile renovation and conservation projects in the UK. In presenting the case studies, a range of issues is identified which support findings from the literature noting that HBIM is predominantly a tool for the geometric modelling of historic fabric with less regard for the actual process of renovation and conservation in historic buildings.

Lessons learnt from the case studies and from existing literature are distilled to develop a framework for the implementation of HBIM on heritage renovation projects to support the ongoing conservation of the building as an integral part of a BIM-based asset management strategy. Five key areas are identified in the framework including value, significance, recording, data management and asset management. Building on this framework, a conceptual overlay is proposed to the current Level 2 BIM process to support conservation heritage projects.

This paper addresses the issue of HBIM application to conservation heritage projects. Whilst previous work in the field has identified conservation as a key area, there is very little work focusing on the process of conservation in the HBIM context. This work provides a framework and overlay which could be used by practitioners and researchers to ensure that HBIM is fully exploited and a more standardised method is employed which could be used on conservation heritage renovation projects.

Digital tools have been used to document cultural heritage with high-quality imaging and metadata. However, some of the historical assets are totally or partially unlabeled and some are physically damaged, which decreases their attractiveness and induces loss of value. This paper introduces a new framework that aims at tackling the cultural data enrichment challenge using machine learning.

This framework focuses on the automatic annotation and metadata completion through new deep learning classification and annotation methods. It also addresses issues related to physically damaged heritage objects through a new image reconstruction approach based on supervised and unsupervised learning.

The authors evaluate approaches on a data set of cultural objects collected from various cultural institutions around the world. For annotation and classification part of this study, the authors proposed and implemented a hierarchical multimodal classifier that improves the quality of annotation and increases the accuracy of the model, thanks to the introduction of multitask multimodal learning. Regarding cultural data visual reconstruction, the proposed clustering-based method, which combines supervised and unsupervised learning is found to yield better quality completion than existing inpainting frameworks.

This research work is original in sense that it proposes new approaches for the cultural data enrichment, and to the authors’ knowledge, none of the existing enrichment approaches focus on providing an integrated framework based on machine learning to solve current challenges in cultural heritage. These challenges, which are identified by the authors are related to metadata annotation and visual reconstruction.

This article presents a case study on the Heritage Building Information Modeling (H-BIM) application in a historic village in Bursa, Turkey. The study addresses how tailor-made and highly structured H-BIM approaches can effectively be implemented in preservation applications for historic vernacular buildings in the rural architecture context.

Using inexpensive digital photogrammetry techniques tightly combined with an object-oriented BIM ontology, parametric meta-modeling and object/system propagation methods, the study employed a holistic H-BIM approach for capturing the materiality, building object behaviors and indigenous construction principles of a characteristic vernacular house that were synthesized in a parametric H-BIM model. The followed stages, steps and connected methods were systematized and articulated in a prototypical H-BIM implementation framework.

The study findings suggested that the developed parametric H-BIM approach can return effective results with the combined use of low-cost and practical digital photogrammetry with BIM methods. The flexibility and adaptability of the parametric H-BIM implementation framework facilitated the synthesis of a comprehensive H-BIM model and allowed an in-depth evaluation of local architectural heritage with its physical, spatial and environmental characteristics. The proposed H-BIM approach also provided significant documentation and system-specific assessment benefits for preserving the vernacular examples which are prone to extinction especially due to structural and systemic deterioration.

The study proposes a feasible, practical and replicable H-BIM implementation methodology for vernacular preservation applications. The knowledge-embedded H-BIM approach, flows and techniques presented in this study provide a holistic and systematic H-BIM framework – with the integrated use of digital photogrammetry and parametric meta-modeling methods – that has the potential for the democratization of H-BIM applications in education and practice.

Across the architecture, engineering and construction industry, the application of building information modelling (BIM) as a digital technology for architectural heritage is becoming increasingly relevant. However, scholarly research on the application of BIM for architectural heritage is still in its infancy stage and the research gaps and future directions of this research area are still unclear. This paper therefore aims to fill this gap by using a systematic and robust review using a mixed-method approach to show the gaps of research for BIM and architectural heritage and point to new directions for future works.

The study includes a quantitative scientometric analysis and mapping and a qualitative study. A total of 354 articles related to BIM and architectural heritage were analysed using a combination of quantitative and qualitative tools. The qualitative study consists of a systematic literature review supported by data collected from stakeholder and training workshops on digital technologies and BIM for heritage.

Findings from this study reveal the gaps in the field of heritage and BIM research according to retrieved articles from different countries and journals. Furthermore, emerging domains for future research were identified and these included: as-built modelling and 3D reconstruction; conservation, preservation and management; documentation; maintenance and restoration; virtual technology and simulation.

The common research challenges were identified as an integrated outcome of the findings revealed from the scientometric mapping and qualitative review and resulted in key BIM and heritage research priority recommendations relevant to researchers within this field.