Search results

This paper aims to demonstrate the need for a structured business process improvement effort needed while restructuring organisational processes within a construction company. Through the longitudinal study, the study also highlights the importance of a continuous improvement initiative to sustain such an improvement effort.

The research followed an action research and the case study approach using semi-structured interviews and group workshops within the case organisation. Overall, six departments were analysed, 35 interviews with senior and middle managers were conducted, existing business process documents were studied and processes were documented. The data were compiled using a process modelling software and Business Process Markup Notation methodology. Additionally, a longitudinal analysis following the completion of process modelling exercise was carried out over a period of eight years.

The overall study highlights the importance of business process management (BPM) for construction organisations. The case study also demonstrated that even smaller business units and its processes affected the overall value chain in a major way and the importance to analyse the process interdependencies between organisational units.

The main limitation of the research was that it is based on a single-case-study company based in the UK. More research is needed with other organisations with different work practices and culture and geographic location.

Primarily, the research outlines specific steps taken during a structured process improvement exercise in a construction company, including procedures for collecting data, developing process maps and analysis of data. The longitudinal study highlights the challenges in sustaining such an initiative. For practitioners, strengths and weaknesses of various process improvement methods and a detailed description of a BPM implementation can be used as a guideline for future projects. From a research point of view, the paper highlights the need for deeper and long-term analysis of such initiatives and the importance of immersion of researchers within the environment.

The paper provides deeper insights into the structured process improvement exercise within a construction company. Second and more importantly, the longitudinal study is one of its kind in the construction industry to shed light on the factors affecting sustainability of such initiatives.

This paper's aim is to provide a fresh perspective on how to address process improvement and information technology (IT) in an integrated fashion in order to improve the efficiency of the construction process.

This paper looks at the problems associated with the “conventional” way of addressing IT within construction, and suggests improvements based on integrating three core organisational resources: people, process and technology.

The existing view that IT on its own brings organisational benefits leads to only marginal improvements in organisational efficiency if not resulting in negative impact. However, by correctly integrating people, process and IT initiatives, significant benefits can be achieved.

This paper provides value by providing a conceptualisation for addressing people, process and technology within the construction sector.

This research aims to develop an approach to assess the reliability of integrated construction supply chains via an integrated model of building information modelling (BIM) and the lean supply chain (LSC). It reflects the synergistic workflow between BIM and LSC as a novel approach to improve the reliability of construction projects.

This research evaluates the reliability of the BIM-LSC approach through a combination of entropy theory, set pair analysis (SPA), and Markov chains (EESM). An exploratory survey was conducted to collect data from 316 industry professionals experienced in BIM and LSC. Subsequently, multiple cycles of calculations were performed with indirect data inputs. Finally, a reliability evaluation index is established for the BIM-LSC approach and potential applications are identified.

The results show that the EESM model of BIM-LSC developed in this study can handle not only supply chain reliability evaluation at a given state but also the prediction of reliability in supply chain state transitions due to changing project conditions. This is particularly relevant to the current environment of the construction project, which is characterised by an increasing level of complexity in terms of labour, technology, and resource interactions.

Future research could consider the accuracy and validity of the proposed model in real-life scenarios with by considering both quantitative and qualitative data across the entire lifecycle of projects.

The research offers a model to evaluate the reliability of the BIM-LSC approach. The accuracy of BIM supply chain reliability analysis and prediction in an uncertain environment is improved.

The BIM-LSC reliability evaluation and prediction presented in this study provides a theoretical foundation to enhance understanding of the BIM-LSC in the construction project context.

The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations.

The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic.

The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper.

Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis.

First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data.

As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.