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Building information modelling (BIM) is not without risk, as the greater reliance on information technology has associated technical risks. Thus, the purpose of this paper is to assess the perceptions of the users of BIM regarding the likelihood of emergence of technical risks which might influence the successful application of BIM, to facilitate the successful implementation of BIM in the construction industry.

The primary data were collected via a questionnaire to document the BIM risks, where 105 responses were recorded from constructors, consultants, cost consultants and other professionals from the UK construction industry. Subsequently, the analysis of the results was driven by univariate and inferential statistics (ANOVA) to assess the perception of risk emergence.

The study found the most likely technical risks that might emerge from BIM application. These risks are complexity of transferring modelling data from one program to another, lack of understanding of the BIM for the different software platforms, interoperability shortcomings, failure to discover errors in the model and risks of different software platforms.

The results will certainly intensify the discussion about BIM risks, risk allocation and all other aspects that are related to BIM contractual processes. Also, the compiled list of risks will help stakeholders in assessing financial implications that may result from BIM application.

Important technical risks have been identified in the application of BIM. This renders a new understanding of the risks that might influence the successful application of BIM. The respondents generally agreed on the importance of the following risks: “complexity of transferring modelling data between programs from one program to another”, “lack of understanding of the BIM for the different software platforms”, “interoperability shortcomings”, “failure to discover errors in the model” and “risks of different software platforms”, which are in line with current literature.

Although crowdsourcing has gained significant attention and is being used by numerous companies to develop new products and solve practical issues, the performance of crowdsourcing is not optimistic. The purpose of this paper is to develop a validated risk profile of crowdsourcing and investigate the relationships among different types of risks and those between risks and performance in crowdsourcing.

Based on the quantitative data collected from 136 crowdsourcing participants in China, two dimensions (i.e. social system and technical system risks) and five sub-dimensions (i.e. crowdsourcer, relationship, crowdsourcee, complexity, and requirement) of crowdsourcing risks are developed and validated. A theoretical model that integrates crowdsourcing risks and performance is developed. The technique of partial least squares is employed to assess the measurement model and test the hypotheses.

The empirical evidence determines the positive association of social system risks with technical system risks, which in turn negatively affect crowdsourcing performance. Specifically, relationship risk is positively affected by crowdsourcer and crowdsourcee risks, and these risks positively affect requirement and complexity risks. However, requirement and complexity risks negatively affect crowdsourcing performance.

This study explores the interrelationship between various risks and the relationship between risk and performance in the context of crowdsourcing by integrating risk-based view with socio-technical theory. Systematic but different risk mitigation strategies should be designed in crowdsourcing to manage risks and enhance performance.

The purpose of this paper is to present a framework to devise a system for ranking of traditional project delivery methods, regarding their suitability, against the varying levels of mega project attributes.

The proposed system employs input and output interfaces and a granular (fuzzy rule base) component for estimating the subjective levels of risks, opportunities, and constraints and then mapping them to a decision matrix. A questionnaire has been designed (using the SurveyGizmo® platform) to collect the perceptions of the various project stakeholders and use them. A total of 127 stakeholders completed the survey form in full.

The survey data were used to calibrate the fuzzy logic model of the granular component. The envisioned system computes, for each possible delivery method, an index that reflects the suitability (of the corresponding delivery method) on an ordinal scale.

The devised decision support system is likely to lessen the dependency of “accurate decision” on “the experience of the decision-makers.” It will also enable ranking the various project delivery methods based on the various project and stakeholder attributes that are likely to affect the project risks, opportunities and constraints.

The purpose of this paper is to follow the general question, how technical rebreather divers ensure their survival during performing of highly demanding dives – and what organisations could learn from these practices. As one form of complex adaptive system, technical divers perform different routines before and during the dive. These practices are formally trained and also informally mediated and developed. After investigating theoretical concepts like high reliability organising, Safety-I and -II as well as organisational resilience management, the authors scope on the existing risk and resilience practices in technical rebreather diving. Finally, the insights of the empirical research are used to make the transfer to the field of management studies – and ask relevant questions regarding their applied resilience intelligence.

The empirical research is analysed by applying Hollnagel’s Functional Resonance Analysis Method (FRAM) which leads to the reconstruction of an extended resilience management model for technical rebreather diving. The model development bases on a field study which comprised 300 hours of observations.

The findings are depicted in an FRAM model that exactly shows how technical divers perform high reliability operations and thus manages and increase the resilience of their socio-technical system.

Research results show the depicted model and the potential learnings for organisations and organisational resilience. However, the research remains inductive and is qualitative. Deductive and quantitative research would enrich and complete the picture.

The research is informative and offers an interdisciplinary but comprehensive bridge between the specific high reliability organisations/resilience practice of technical divers and the potential learnings for organisations. Companies can take the identified categories and mechanisms to match them to their own resilience activities.

Increasing organisational resilience means to increase societal resilience and thus sustainability. The research aims to support this interdisciplinary learning process.

The originality lies in the research object itself (technical diving practices), that never has been researched with an FRAM before. It is an interesting, comprehensive and interdisciplinary show case that is used to derive practical considerations for companies to strengthen their organisational resilience.

Crowdsourcing food delivery represents great potential for future development and expansion of the restaurant business. Accordingly, job performance and retention of delivery workers are critical for success. Therefore, this paper aims to investigate how to enhance crowdsourced delivery workers’ job performance and intent to continue working by applying the sociotechnical systems theory.

The data analysis was conducted using responses obtained from crowdsourced food delivery workers. A structural equation model was developed to verify the hypothesized relationships. To test the proposed moderating roles of a three-dimensional concept of social capital within the research model, multi-group analyses were implemented.

This study confirmed the significant relationships between crowdsourcing risks related to workers’ low job commitment and technical systems, attributing to reduced job performance and intent to continue working. Results documented that social systems including networks, trust and shared vision mitigated the negative impact of the perceived difficulty and complexity of technical systems and job performance.

Although technology has contributed significantly to the effectiveness of online food delivery, the literature has mainly focused on its benefits and has ignored the critical aspects derived from a virtual and technology-based workplace. This gap was addressed by verifying the important roles of social factors (networks, trust and shared visions) in reducing the negative impacts of technology-driven risks (perceived difficulty of task requirements and technology complexity) within the crowdsourcing food delivery context.

Effective management of risk and knowledge is critical to ensure the success of industry–university collaboration (IUC) projects. However, the intricate dynamics through which these factors influence the performance of IUC projects have yet to be fully investigated. The purpose of this study is to explore the interplay between risk management and knowledge management capabilities and their impact on IUC project performance.

A model was constructed and evaluated through the examination of a sample of 188 collaborative innovation projects located in the United Arab Emirates (UAE), utilizing structural equation models (SEM) and hierarchical regression analysis.

The findings indicate that social system risk, technical system risk and project management risk have a negative impact on the performance of university–industry collaboration (UIC) projects, while cultural, technical and structural knowledge management capabilities can mitigate the negative impact of these risks on the performance of IUC projects.

The study concludes with three recommendations aimed at improving the management of UIC projects, including the establishment of a distinct and precise management strategy, the deployment of a comprehensive and systematized management methodology and the adoption of a balanced management framework.

The originality and value of this study lie in its exploration of the interplay between risk management and knowledge management capabilities in IUC projects. While previous studies have examined either risk management or knowledge management in IUC projects separately, this study provides a comprehensive analysis of both factors and their combined impact on project performance. The study also contributes to the literature by highlighting the specific risks and knowledge management capabilities that are most relevant to the context of IUC projects in the UAE. The practical recommendations offered by the study can help project managers and stakeholders to improve the success of collaborative innovation projects.

The purpose of this paper is to analyse project risks in Ghana’s real estate construction industry in terms of likelihood of occurrence, severity of impact and controllability.

A quantitative research approach was used in this study to address the research objective. The study population consisted project managers, architects, surveyors and contractors from 17 members of the Ghana Real Estate Developers Association (GREDA) in Ghana. Random stratified sampling technique was used to select 97 participants from these firms. A structured questionnaire was used to collect primary data, whereas descriptive statistics were used to present findings.

All risks identified have some level of likelihood of occurrence, extent of severity of impact and controllability. Market risks, technical risks and environmental risks are more likely to occur. Market risks, technical risks and environmental risks had the highest severity of impact. Financial risks, market risks, managerial risks and technical risks are the most controllable. Among all risks, environmental risks are the direst because they have high likelihood of occurrence and severity of impact but very low controllability. Real estate construction firms (developers) are therefore expected to prioritize remedy of environmental risks.

The study is based on self-reported perception of project parties on the likelihood, severity of impact and controllability of real estate project risk factors. Firms outside of GREDA were not included in the survey. Therefore, generalisation of these risk factors for the entire construction industry should be done with caution.

The research results show that Ghanaian real estate developers are aware of the existence of the risks which impact on the performance of the industry. To effectively and efficiently manage these risk factors, project parties must understand the likelihood of occurrence, severity of impact and controllability of the risk factors, as well as individual firm’s responsibilities and capabilities to manage them. Such knowledge helps project managers to prioritise risks in managing them in the face of scarce resources. From an academic research perspective, the paper contributes to a conceptual risk assessment framework for the real estate industry.

The paper’s main contributions relate to the introduction of real estate construction sector-specific factors to project risk management modelling.

This research explores the implications for risk management of “People Risk.” In particular how online digital behaviors, particularly from young people entering the workplace for the first time, might impact on the work setting and how risk management might mitigate impact on the employee and organization.

A mixed methods approach was used to consider these implications and draws from a number of data sources in the United Kingdom including a database of self-review data around online safety policy and practice from over 2000 schools, a survey of over 1000 14–16 year olds and their attitudes toward sexting, and a survey of over 500 undergraduate students. In addition the work considers existing risk management approaches and the models therein and how they might be applied to people risk.

The dataset analyzed in this exploration show an education system in the United Kingdom that is not adequately preparing young people with an awareness of the implications of digital behavior in their lives and the survey data shows distorted social norms that might have serious consequences in the workplace.

This research should raise concerns for managers in the workplace who need to be aware of the changes in “normal” behavior and how these potentially harmful practices may be mitigated in the workplace.

The research provides a strong evidence base for a change in “acceptable” social behavior by children and young people alongside an education system not promoting effective awareness. These two datasets combined highlight potential new risks to the workplace.