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The aim of this paper is to make an attempt to find good values of onsite–offshore team strength; number of hours of communication between business users and onsite team and between onsite and offshore team to reduce cost and improve schedule for re-engineering projects in global software development environment.

The system dynamics technique is used for simulation model construction and policy run experimentation. The experts from Indian software outsourcing industry were consulted for model construction, validation and analysis of policy run results in both co-located and distributed software development environment.

The study results show that there is a drop in the overall team productivity in outsourcing environment by considering the offshore options. But the project cost can be reduced by employing the offshore team for coding and testing work only with minimal training for imparting business knowledge. The research results show that there is a potential to save project cost by being flexible in project schedule.

The study found that there could be substantial cost saving for re-engineering projects with a loss of project schedule when an appropriate onsite–offshore combination is used. The quality and productivity drop, however, were rather small for such combinations. The cost savings are high when re-engineering work is sent to offshore location entirely after completion of requirement analysis work at onsite location and providing training to offshore team in business knowledge The research findings show that there is potential to make large cost savings by being flexible in project schedule for re-engineering projects.

The software project manager can use the model results to divide the software team between onsite and offshore location during various phases of software development in distributed environment.

The study is novel as there is little attempt at finding the team distribution between onsite and offshore location in global software development environment.

The purpose of this paper is to set out to identify key team factors associated with the fast implementation of capital projects. Although scholars theorise that project success depends as much on the effective management of project personnel as on technical management, the project literature is virtually silent on which team practices are pivotal.

Using a model‐based quantitative research design, the impact of team management variables on the speed of two different phases of capital project implementation were examined: project execution and project construction. Multi‐method data collection included 252 individual surveys, archival documents, and whole team interviews conducted at the closeout of 56 capital projects implemented in four continents by 15 Fortune 500 companies in the process industries.

Empirical analysis revealed that only some of the variables predicted from other literatures (project manager – PM continuity, cross‐functional team integration, and PM incentives) were significantly linked to fast schedule outcomes. Some key drivers differed according to temporal phase.

Limitations of this study included its cross‐sectional design, modest sample size and sampling frame, but the findings clearly demonstrate the value of further research into key team factors for project success.

The results suggest that strategic management of project personnel can drive project speed. Phase‐linked key team practices are identified for improving time performance in capital projects.

This study breaks new ground by exploring whether key team practices are generic and phase‐specific, and by identifying specific team drivers of speed for two capital project phases using objective outcome measures.

Traditionally, progress in detail engineering in construction projects is reported based on estimates and manual input from the disciplines in the engineering team. Reporting progress on activities in an engineering schedule manually, based on subjective evaluations, is time consuming and can reduce accuracy, especially in larger and multi-disciplinary projects. How can progress in detail engineering be reported using BIM and connected to activities in an engineering schedule? The purpose of this paper is to introduce a three-step process for reporting progress in detail engineering using building information modeling (BIM) to minimize manual reporting and increase quality and accuracy.

The findings of this paper are based on the studies of experiences from the execution of projects in the oil and gas industry. Data are collected from an engineering, procurement and construction (EPC) contractor and two engineering contractors using case study research.

In the first step, control objects in building information models are introduced. Statuses are added to control objects to fulfill defined quality levels related to milestones. In the second step, the control objects with statuses are used to report visual progress and aggregated in an overall progress report. In the third step, overall progress from building information models are connected to activities in an engineering schedule.

Existing research works related to monitoring and reporting progress using a BIM focus on construction and not on detail engineering. The research demonstrates that actual progress in detail engineering can be visualized and reported through the use of BIM and extracted to activities in an engineering schedule through a three-step process.

The purpose of this paper is to find good values of onsite-offshore team strength; number of hours of communication between business users and onsite team and between onsite and offshore team so as to reduce project cost and improve schedule in a global software development (GSD) environment for software development project.

This study employs system dynamics simulation approach to study software project characteristics in both co-located and distributed development environments. The authors consulted 14 experts from Indian software outsourcing industry during our model construction and validation.

The study results show that there is a drop in overall team productivity in outsourcing environment by considering the offshore options. But the project cost can be reduced by employing the offshore team for coding and testing work only with minimal training for imparting business knowledge. The research results show that there is a potential to save project cost by being flexible in project schedule.

The implication of the study is that the project management team should be careful not to keep high percentage of manpower at offshore location in distributed software environment. A large offshore team can increase project cost and schedule due to higher training overhead, lower productivity and higher error proneness. In GSD, the management effort should be to keep requirement analysis and design work at onsite location and involves the offshore team in coding and testing work.

The software project manager can use the model results to divide the software team between onsite and offshore location during various phases of software development in distributed environment.

The study is novel as there is little attempt at finding the team distribution between onsite and offshore location in GSD environment.

The purpose of this paper is to develop a risk management framework, combined with Six Sigma tool and techniques, to help handle the undesired effects that can occur during the project execution. There exist various risk management methodologies but none of them provide an efficient framework and tools to handle undesired effects. In this paper, the goal is to assist practitioners in management of risks.

The author defines a new risk management framework on the basis of critical review of previous research applied in the industry related to different manufacturing, construction, HR, Marketing, IT and other domains. The strengths and weaknesses of these methods have been compared through empirical analysis based on real‐life case studies.

An enhanced framework is developed for handling, management and analysis of risk associated with the projects. An extended model is presented by combining the previous risk management methodologies with Six Sigma methodologies, in order to achieve both improvement and minimization of risks simultaneously. The risk management framework defined in project management lacks compatibility and enhancement with the handling in real‐time projects. By combining a number of methodologies, after critical study of related frameworks, it has been possible to devise a framework which has proved to be beneficial.

The model defined in the paper is based on implementation and approvals from the management and takes time for implementation of Six Sigma. Currently the enhanced model is implemented in a single process in a real‐time industry to validate the model. A through study and knowledge of processes with data is required in order to implement the model.

The proposed model achieves higher organizational performance by motivation and training of its employees handling large‐scale projects. This has increased the knowledge of persons by minimizing the barrier to change management; hence, achieving organizational excellence and project management with ease.

The methodology will help organizations, especially in the manufacturing industry, to minimize the risks in both pre‐execution and post‐execution of projects. It enables overall improvement of organization with total product management, root cause analysis, project management knowledge areas and combination of Six Sigma tools. It also makes the knowledge management concept possible within the framework, to maintain the flow of knowledge throughout the organization. It has decreased dependency on a single person and promotes team management concepts with shared work values.

The purpose of this paper is to report on the development of a collaborative Heritage Building Information Modelling (HBIM) of a 19th-century multi-building industrial site in the UK. The buildings were Grade II listed by Historic England for architectural and structural features. The buildings were also a key element of the industrial heritage and folklore of the surrounding area. As the site was due to undergo major renovation work, this project was initiated to develop a HBIM of the site that encapsulated both tangible and intangible heritage data.

The design of the research in this study combined multiple research methods. Building on an analysis of secondary data surrounding HBIM, a community of practice was established to shape the development of an HBIM execution plan (HBEP) and underpin the collaborative BIM development. The tangible HBIM geometry was predominantly developed using a scan to BIM methodology, whereas intangible heritage data were undertaken using unstructured interviews and a focus group used to inform the presentation approach of the HBIM data.

The project produced a collaboratively generated multi-building HBIM. The study identified the need for a dedicated HBEP that varies from prevailing BIM execution plans on construction projects. Tangible geometry of the buildings was modelled to LOD3 of the Historic England guidelines. Notably, the work identified the fluid nature of intangible data and the need to include this in an HBIM to fully support design, construction and operation of the building after renovation. A methodology was implemented to categorise intangible heritage data within a BIM context and an approach to interrogate these data from within existing BIM software tools.

The paper has presented an approach to the development of HBIM for large sites containing multiple buildings/assets. The framework implemented for an HBEP can be reproduced by future researchers and practitioners wishing to undertake similar projects. The method for identifying and categorising intangible heritage information through the developed level of intangible cultural heritage was presented as new knowledge. The development of HBIM to bring together tangible and intangible data has the potential to provide a model for future work in the field and augment existing BIM data sets used during the asset lifecycle.

The purpose of this paper is to study how the project owner role is described in the literature, and how the role is carried out in practice. In particular, the author studies the project owner role in relation to project execution and benefit realization.

Based on a literature review, the author proposes a model for the relationships between the project owner, project manager and the operation of project delivery. The author then uses the model to describe the empirical results derived from a mapping of project owner responsibilities in a set of Norwegian information technology projects.

The author defines a project owner type 1 as a project owner that is focused on the business case and has responsibility for both project delivery and benefit realization. This project owner is the type described in most of the literature. The author further defines a project owner type 2 as a project owner that is mainly concerned with supporting the project manager and enabling project delivery. This is the type of project owner found in the empirical study.

The author identified a mismatch between the project management literature and observed practice.

There is a need to clarify the type of project owner role referred to in different contexts. Different project owners will have a different set of incentives and priorities. It is important to make sure that both investment costs and benefits (i.e., the complete business case), are seen in close relation to each other and not as separate undertakings.

There is a need for a distinction between two types of project owners. This study proposes a framework for the description, analysis and implementation of project governance, with a special focus on the project owner role.

Standardizing the development, planning and construction of public building projects can contribute to timely and efficient project delivery. This is especially relevant when there are urgent needs for capacity. The purpose of this paper is to share the experiences from the development of standardized concepts for school extensions and prison building in Norway.

The research questions posed in this paper are on the interaction between public entities project delivery models and standardizing building types and the construction method. To investigate the research questions, the paper presents the findings from two case studies: school and prison development and construction projects. It is based on a literature review, semi-structured interviews, document studies and quantitative data on time and cost for the planning and construction phases.

Standardization and use of modularized building systems can contribute to shortened delivery time by reducing the duration of both the planning and construction phase. The most significant time reduction resulted from less time spent on quality assurance of cost estimates prior to the funding of the projects. Project costs increased in the school case, but were reduced in the prison case. An important challenge faced in both cases is a shallow pool of capable suppliers; the actors have approached the challenge with different strategies, yet neither actor has been successful in their attempts.

The paper provides empirical data to add to the collective knowledge on the project management aspects of using standardized project delivery models and standardized (modular) building. However, by emphasizing the interaction between project delivery models and standardization of the planning and execution of the projects, additional insight into the benefits and challenges are highlighted.

The purpose of this paper is to show that project success is dependent on the project management approach selected, relative to the challenges posed by the project, and to develop an analytical model for analyzing the performance of the project organization.

The research is based on literature review, model development, interviews, and case studies.

The findings define two different approaches in project management: The prescriptive approach focusses on the formal qualities of the project organization, including governing documentation and procedures. The adaptive approach focusses on the process of developing and improving a project organization, project culture and team commitment. The two approaches have been identified through studies of three different case projects. An analytical model, referred to as the Pentagon model, has been applied for analyzing the performance of the project organization and explaining the project management approach. The model focusses on five different organizational aspects: structure, technologies, culture, social relations and networks, and interaction.

The research is limited to megaprojects and to project management success.

It is suggested that project teams consider and select their project management approach at project initiation, and accordingly decide on relevant success factors to focus on. The adapted Pentagon model can be applied to develop the project management organization and assess its performance in the course of project delivery.

The contribution of the research is the application of the analytical model, and the identification as well as illustration of the prescriptive, vs adaptive management approach.

This paper aims to deal with the selection of the sustainability-oriented Green Lean Six Sigma (GLS) project for the manufacturing industry in the complex decision-making environment. Moreover, the study also proposes a GLS implementation framework for improved organizational performance.

GLS project selection has been done based on the six sustainability-oriented criteria formed from 17 sub-criteria (found from the literature and developed by authors). The weights of the criteria have been determined through the entropy method. The projects have been ranked based on the criteria through the advanced decision-making approach: grey relation analysis (GRA). The results of the study were validated using best worst method and sensitivity analysis.

It has been found that the productivity-related criterion is the most significant among other criteria with entropy weight of 0.2721. GRA has been used in this research work to rank the potential GLS projects in a manufacturing industry based on six sustainability criteria, to select a project that exhibits the maximum potential for sustainable improvement. The machine shop has been found as the most significant GLS project with grey relation grade of 0.4742.

The present study facilitates practitioners and industrial managers to implement an inclusive GLS approach for improved sustainability dynamics through effective GLS project selection and implementation framework.

With increased globalized competition in recent times, new projects are being considered as the foundation stone for organizational success. The decision-making becomes quite complex to select an effective project due to the intriguing nature of various criteria, sub-criteria and different aspects of sustainability. To the best of the authors’ knowledge, the present study is the first of its kind that provides ways for the selection of sustainability-oriented GLS projects.