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This study aims at introducing a claim management model based on building information modeling (BIM) for claims that can be visualized in BIM models.

Based on the results of a questionnaire survey, 10 claims were identified as claims that can be visualized in BIM models (named hard claims in this study). Then, a BIM-based claim management model was developed and used in a case study.

A BIM-based claim management model is represented. The claim management process through this model consists of four steps: (1) extracting project information, identifying conditions prone to claim and storing them into a relational database, (2) automatically connecting the database to building information model, (3) simulation of the claims in building information model and (4) final calculations and report.

The proposed model can provide benefits to parties involved in a claim, such as early identification of potential claims, large space for data storage, facilitated claim management processes, information consistency and improved collaboration.

There are a few studies on providing solutions to claim management based on BIM process. Hence, the original contribution of this paper is the attempt to set a link between BIM and claim management processes.

Claim formation is a fact and a regular occurrence in construction industry projects and often leads to a waste of money and time for organizations. Organizations can, however, reduce and control claims by promoting an integrated claim management system and improving productivity in the results of the claims. Establishing a claim management office is one of the ways to help organizations achieve this.

Based on library research, expert opinion and analysis of organizations' contracts as case studies and identifying the root causes of the claim, this paper proposes a claim management office maturity model and determines its levels.

This paper proposes a claim management office maturity model and also determines its levels. The general structure of this model is based on three parameters: “characteristics of each level,” “requirements of each level” and “transition period of each level” in five levels, where the first level is the most basic level and level five is the highest level of the implementation of a claim management office in the organization.

It can be clearly emphasized that this research is one of the first research studies that has dealt with the issue of claim management office in the construction industry and has proposed the model of maturity and development of claim management office in the organization. The use of numerous and experienced experts in achieving the results and case organizations to develop this research has increased the value and credibility of this research. This study also helps to improve the level of claim management in construction industry organizations so that these organizations can implement each level of claim management maturity model in the organization according to their competence and need for claim management. And by implementing it correctly, solve or reduce the problems of claim management in the organization and their projects.

In the construction industry, various parties are involved in a project. Consequently, claims and disputes are inevitable in this industry. This paper aims to develop Integrated project delivery (IPD) practices including early involvement of stakeholders and multiparty contracts which its combination with advanced technologies such as blockchain can lead to better dispute management and improve the whole construction process.

Based on literature review, the alternative dispute resolution (ADR) for IPD contacts were identified, and three formats of IPD contracts were selected, and the dispute resolution process of them has been analyzed. Then, based on blockchain review, a conceptual blockchain-based dispute management (BDM) model was generated for ADR in IPD. Model validation was done by an interview. Experts were asked to compare the BDM model with the traditional system regarding the ADR duration.

Analyses of the collected data from the experts demonstrated that the BDM model has better function in terms of time and cost for ADR process when the project is facing serious and considerable number of disputes. The relation between blockchain technology (BCT) and building information modeling (BIM) has been examined through a framework, and the ability of the proposed model for administrating dispute resolution process has been verified using four different scenarios of construction claims that show the system can run successfully.

The current study proposes a truthful model, reliable framework to address the problem of project dispute management in IPD contracts. The system combines the ability to being unchangeable and the reliability characteristics of BCT with informative and automation aspects of BIM together to improve dispute resolution issue in the IPD system.

In view of the fact that claim payouts account for about 70 per cent of annual direct costs in non-life insurance companies and that claims-handling staff sums up to 10-20 per cent of all employees, an optimal claims management environment is of strategic importance. The purpose of this paper is twofold, i.e. on the one hand, the authors introduce a standardized claims management process model and, on the other hand, they apply process benchmarks to various operational parameters.

The proposed claims management process landscape comprises current industry standards for claims handling from a theoretical perspective, supported by practice insights from the industry. Our model aims to reflect the most important claims processing activities. The claims-handling work flow is structured into five core steps, namely, notification, registration, coverage audit, settlement and closing of the claim. For these core steps, the authors differentiate between three claim complexity categories and their associated back-office levels. In the second part of the paper, the authors assess the industry’s claims-handling efficiency. The authors benchmark industry processes with reference to detailed claims management data from 11 insurers in Germany and Switzerland.

The benchmarks are based on the previously defined claims management model and are applied separately to the three retail business lines of car, property and liability insurance. We measure claim process times (cycle times) as well as claim quantities and average claim payouts at different levels. Overall, within each business line, more than 30 data points are gathered from each respondent insurer. This allows us to compare the process performance of different insurance companies and to describe significant differences in their process patterns. Furthermore, principal findings are derived from descriptive statistics as well as ad hoc data analyses.

The paper seeks to contribute to the discussion of how different insurance companies perform in claims management and to define best practice. Our findings are relevant to academics and practitioners alike.

The model and existing practice of the construction supply chain (CSC) in the United Kingdom (UK) and Australia was presented in this chapter. The policies and reports that support the practice of the CSC were examined in both countries. It was discovered from the review of literature that the UK has a more detailed report targeted at improving the CSC than Australia. However, both countries have a common factor affecting their CSC which originates from fragmentation experienced within their supply chain. Construction stakeholders in the UK and Australia believe that collaboration and integration are vital components for improving performance. The majority of the contractors in both countries embrace collaborative working for the sole purpose of risk sharing, access to innovation and response to market efficiency. However, most of the models developed for managing the CSC in the UK are built around building information modelling (BIM). Also, the reviewed studies show that supply chain management practice will be effective following the following principle: shared objectives, trust, reduction in a blame culture, joint working, enhanced communication and information-sharing. Finally, the UK has a more established framework and more CSC models compared to Australia.

In construction management, risks and claims are treated separately, but several studies tacitly acknowledge a strong link between the two. In this context, this research intends to investigate whether risks and claims have a causal relationship? Based on this causal relationship, a claim-based risk assessment model (C-RAM) is developed to quantify occurrences and cost implications of risks using project data.

First, the causal relationship between risks and claims is established through a conceptual framework for content analysis of the literature on risk management (RM) and claim management (CM). Then, a C-RAM is developed based on the content analysis of 234 claims from 24 settled arbitration awards.

Risks and claims are found to be two stages in the same chain of uncertain events that affect projects, subsequently revealing a causal relationship between risks and claims. Due to this causal relationship, claim documents become a potential source of risk information from past projects. Proposed C-RAM quantifies occurrences of risks with three parameters: number of projects in which a risk occurs, number of ways in which a risk occurs, and number of claims a risk causes if it occurs. Also, cost implications of risks are quantified as percentage of contract sums for interpretation as tangible values.

Though C-RAM is applicable to all types of claims, the results in this paper are based on impacts of risks in past projects that caused claims and reached to arbitration stage.

The causal relationship between risks and claims will encourage integration of knowledge on RM and CM which is currently treated separately. Practitioners can now visualize claims as cost implications of risks that occurred in projects. Further, C-RAM makes risk assessment (RA) more objective by quantifying the cost implications of risks as percentage of contract sums which can be readily used for contingency estimation.

The relationship between risks and claims, and the potential of claim documents as a source of project risk information, can initiate a new paradigm in RM research based on project data.

This study aims to examine the mutual influence of causes of variation orders (VOs), claims/disputes (CDs) on project performance (PP) and stakeholder performance (SP).

Firstly, this study identifies the VOs, the CDs, criteria for measuring the PP and criteria for measuring the SP. Then, a survey questionnaire is created to collect data from stakeholders in construction projects. Using the factor analysis method, this study discovers the constructs of the VOs, CDs, PP and SP. The relationships among the constructs are then uncovered using a structural equation model.

The research findings confirm that the VOs and CDs have a direct effect on the PP, as well as the PP’s effect on SP, whereas the VOs and CDs have no effect on the SP. It is strongly recommended that critical factors such as poor management, construction method change, design/scope problems, uncontrollable objective problems, impediment problems, lack of commitment among parties and lack of experience and competence of parties should be given special attention to improve the SP.

The results of the study fill the gap in knowledge by examining the mutual influence of the VOs, the CDs, the PP and the SP. Discovering the mutual influence will assist managers in improving the PP and the SP.

Successful risk management is influential in different phases of construction projects. It can play a critical role in reducing the possibility of claims as well as related disputes. The risk management knowledge area in large capital projects such as oil and gas is considered a questionable problem in the construction industry. The present study makes an effort to identify the importance of process groups in improving risk management performance.

This study is selected and ranked 36 factors leading to the claim in Iran's oil and gas industry through the Delphi method and a questionnaire. Factors categorized into a risk breakdown structure (RBS) include eight groups. Factors are linked to one of the process groups by a Delphi method. Finally, the relationship between RBS and the five process groups is analyzed using partial least squares structural equation modeling (PLS-SEM).

Findings showed that the planning process group had more confirmed factors than others. Most of the supported communications belonged to the contractor and the owner parties. Also, the cause of delay in the implementation phase due to the contractor performance had a higher relative importance index.

This article, from a project life-cycle perspective, considers the new structure between the risks leading to claims and the key parties to the project. It can be a good criterion for identifying risks and a timelier response to them before the risks turn into disagreements.

Several researchers have found that the value of stock declines at the announcement of a debt for equity swap. This decline is attributed to an information effect: the firm’s financial condition is worse than the market expected. Our research develops an alternative explanation. Using the theory that equity can be valued as an option on the firm, it is shown that, depending on the exchange ratio, a debt for equity swap will cause the price of the stock to decline. This theory is tested using a sample of firms that announced debt for common equity swaps. The theoretically predicted stock price reactions are consistent with the actually observed stock price reactions. Furthermore, the contingent claims model has better explanatory power than a simple model of dilution. Tests on the sensitivity to the assumptions of the option pricing model show that only the assumption of the time to expiration of the option significantly affects the results.

Industry interest in equity‐based contingent claims models for evaluating credit risky securities has recently surged. These methods assume away valuation uncertainty that exists in practice. This article explores the impact of valuation uncertainty on these contingent claims models, by analyzing how varying levels of model uncertainty bias default probability estimates obtained from standard contingent claims models.