Formation of the composition of programs for the knowledge–intensive industry development using bacterial optimization algorithms and fuzzy logic methods

Today the knowledge–intensive industry development is carried out by the programs that combine a set of innovation and investment projects aimed at achieving a single goal and implemented in general constraints. The presence of a larger number of project characteristics (in particular, terms, resources, performers, etc.), which must be taken into account when forming the composition of the program, leads to the formulation of the problem of multicriteria optimization. As its solution, it is proposed to use an algorithm of bacterial optimization, supplemented by a procedure for forming initial positions using fuzzy logic methods.

Analyzing Cost and Schedule Growths of Road Construction Projects, Considering Project Characteristics

The development of road infrastructure is closely related to national competitiveness and presents significant socioeconomic impacts. However, road construction involves a large budget and is vulnerable to political, economic, social, and project-specific risks, which often result in cost overruns and schedule delays. Assessing the gap between the final performance and the planned performance, and providing feedback to similar projects in the future is essential for successful project planning and management. The aim of this study is to empirically analyze the cost and schedule growth of road construction projects, considering project characteristics. Using the national-level project performance data, the primary goal is to answer, “Do project characteristics influence the road project performance? If so, how different is the performance because of the project characteristics?” To this end, this study analyzes the cost and schedule growth of 423 road construction projects, considering five project characteristics: facility type, construction type, bid type, contract type, and project size. Non-parametric tests (the Mann–Whitney U test and the Kruskal–Wallis test) are used to analyze the differences between sample groups. The results demonstrate (1) better management of the performance of the highway when compared to the national and provincial roads; (2) higher schedule growth of the expansion and renovation than that of the new construction; (3) lower cost growth of the design-build method (turnkey and alternative) than the design-bid-build methods (qualification examination and lowest price); and (4) relatively larger cost and schedule growth for projects over $50 million than those of smaller projects. These results present empirical references from the Korean construction industry that can help construction-related entities (clients, design consultants, and contractors) to estimate and manage the cost and schedule buffers of future projects by considering different project characteristics. Discussions and suggestions connected with the findings are also provided. Future research will continue to shed light on the critical factors affecting the cost and schedule growth.

Ecology Projects and Participatory Budgeting: Enhancing Citizens’ Support

In contemporary times, a large number of ecology projects are put on the public agenda through participatory budgeting. There is variation in the support they receive from citizens, but until now we have not known what drives this support. This article aims to identify the factors that could determine the support for ecology projects in participatory budgeting. It includes all 36 projects on ecology, which passed the technical eligibility check, submitted to the participatory budgeting in Cluj-Napoca (Romania) between 2017 and 2019. We use quantitative analysis to test the extent to which five project characteristics have an effect on the public support for the ecology projects: the requested budget, the type of project, the number of arguments, the use of jargon, and images and videos in addition to text descriptions. The results show that citizens take the environmental matters seriously and do not vote for schematic projects that are limited in scope and which have limited contribution to the general welfare.

A System Dynamics Analysis of Value Creation in Project Context

The focus of this paper is on analyzing the value creation dynamics in the project implementation phase. By value creation, we mean the activities, processes, and strategies that the project team uses to increase benefits and/or reduce costs in the project. By synthesizing the literature on project management and system dynamics, we developed a simulation model with various structures underlying project dynamics. We considered four structures that influence project realized value: project team features, project characteristics, project controls and value creation processes, and project remedial actions due to ripple effects. The resulting model can systematically examine the interplay of value creation processes: work progression, rework, redesign and innovation, and rescheduling. We used the model to explain how the project team’s capability, motivation, and speed of making the best-for-project decisions ensure that the value creation goals are met. We simulate various scenarios that show the significance of the processes and their influencing structures on the realized value. The results present how endogenous and exogenous drivers of system behavior unfold over time and provide a richer understanding of the effect of various model structures such as project complexity and uncertainty on value creation.

U.S. Transportation Agencies’ Trends of Using Construction Engineering and Inspection Consultants and In-House Staff

State transportation agencies (STA) are relying on needs-based construction, engineering, and inspection (CEI) consultants as a primary solution to their staffing deficits. While other studies have examined the reasons STAs hire CEI consultants at an agency level, prior research has not identified potential patterns between project characteristics and STA staffing choices. A national survey was administered to examine how the use of CEI consultants differs by project type, work type, complexity level, and the authority level of inspectors. A rigorous model-building variety of Chi-squared analyses, Cochran’s Q tests, McNemar tests, and binomial logistic regression models were used to analyze the data. This research found that STAs are more likely to use consultants on projects with utilities, drainage, roadway, and/or grading because they either do not have enough staff in-house or do not have the experience in-house to complete these projects. Additionally, most STAs do not grant senior inspector consultants the same authority level as their in-house counterparts. Generally, this research indicates that socio-economic and political factors have both short- and long-term effects on staffing choices in public transportation projects and studying project characteristics might help shed more light on the effects of these decisions. Specifically, the results indicate a need for both the private and public sectors to collaborate and share knowledge to preserve institutional knowledge within agencies. These results suggest that further research into staffing trends and project characteristics is warranted.

Sustainable Construction and Financing—Asset-Backed Securitization of Expressway’s Usufruct with Redeemable Rights

Asset-backed securitization will greatly promote the sustainability of infrastructure construction and financing. However, there are quite limited researches conducted in this field. Given the project characteristics of infrastructure project securities, this paper proposes the issuance steps of redeemable asset-backed notes (ABN) based on the infrastructure project’s usufruct as the basic asset. Taking the expressway franchise as an example, the issuing scale and coupon rate of the redeemable ABN are determined by the expected cash flow of the expressway, the term structure of random interest rates, and the option-adjusted spread (OAS). In addition, this research analyzes the duration, convexity, and OAS.

Strategies to Improve Conceptual Cost Estimates Accuracy of Flyover Development in the Provincial Government of DKI Jakarta

This study identifies the dominant factors in the conceptual cost estimate process of flyover development in the Provincial Government of DKI Jakarta that affect accuracy, based on the relationship model between the conceptual cost estimation process of flyover development in the Provincial Government of DKI Jakarta with the accuracy. Furthermore, this study also develops strategies to improve the accuracy based on the dominant factors. Two parts of the method are used in this study. The first method is to obtain the dominant factors in estimating the conceptual cost of flyover development in the DKI Jakarta Provincial Government, which affects accuracy using the SEM-PLS method, which involved 151 respondents. Second, the method to obtain strategies to improve accuracy based on these dominant factors, using the gap analysis. The result shows that four dominant factors affect accuracy: information quality, project definition, cost information, and project characteristics. Improving strategies are obtained based on those identified dominant factors. The finding of this study suggests that these strategies can be compiled into the guideline of the conceptual cost estimate process, which can be a tool to assist relevant agency personnel in carrying out the stages in the process of conceptual cost estimation of flyover development.

Citizen science project characteristics: Connection to participants’ gains in knowledge and skills

Background Biodiversity is being lost rapidly and its conservation is thus one of the most urgent tasks today. For biodiversity conservation to be successful, the public needs to gain an awareness and understanding of biodiversity and its importance. Moreover, species experts are needed who have the skills necessary for identifying and recording biodiversity. Previous research showed that citizen science projects can contribute to educating the public about biodiversity. However, it is still unclear how project characteristics connect to participants’ knowledge and skills and how citizen science projects should be designed if they are to foster participants’ learning. Aim We aimed to investigate specific characteristics of biodiversity citizen science projects that could potentially influence participants’ learning. We explored the following project characteristics from both the project coordinators’ and the participants’ perspectives: information and training provided to participants, social interaction among participants, contact between participants and staff, and feedback and recognition provided to participants. Methods and results In order to examine the extent to which these project characteristics are connected to participants’ gains in knowledge and skills, we conducted a comprehensive study across 48 biodiversity citizen science projects in Europe and Australia. We found that participants’ perceived gains in knowledge and skills were significantly related to the five project characteristics as reported by the participants: information received by the participants, training received by the participants, social interaction among participants, contact between participants and staff, and feedback and recognition received by the participants. Conclusion We conclude that by deliberately designing citizen science projects to include features such as interaction and feedback, these projects could achieve higher learning outcomes for the participants. Thereby, suitable modes of communication between projects and their participants are crucial. We provide specific suggestions for the design of biodiversity citizen science projects and for future research on project characteristics and participant outcomes.

A hybrid method for matching analysis of construction project characteristics with operation and maintenance requirements

PurposeThe purpose of this study is to extract the real requirements of the owner (or users) for the construction project in the operation and maintenance stage completely and accurately and carry out the construction based on the requirements, to make the project status and operation and maintenance requirements (RO&M) consistent after delivered.Design/methodology/approachThis study creatively proposes the operation and maintenance functions deployment (OMFD) under RO&M. In addition, the OPAR (naming is made up of the initials of owners, project, analysis and result) model is constructed to fully identify the requirements of both owners and projects. In this study, three typical construction projects are taken as examples to calculate the correlation strength between project characteristics (PC) and operation and maintenance requirements through the Apriori algorithm, and order parameters are obtained from the cost chain.FindingsThis study found that there are significant differences in the correlation strength between 11 types of RO&M and PC, in which the “cost of types” (TC) correlation of residential housing and factory buildings is the largest, while the largest correlation demand of commercial buildings is “safety of types” (TS) and “system” (S). Simultaneously, through the calculation of order parameters, the most influential factors on project characteristics are obtained.Practical implicationsThis study could effectively help the owner (or users) to check whether the delivered project fully satisfy their real requirements and also extract the key technical points to realize RO&M, which can guide the accurate construction of the same type of projects.Originality/valueThis research establishes OPAR model to accurately identify the requirements of the project in the operation and maintenance stage and establishes the association rules between the requirements and the construction scheme, which is helpful for the project to construct under the expected requirements.

Identifying focus areas to decode the decision to litigate contractual disputes in construction

PurposeStrong and independent judiciary symbolizes transparency and impartiality in the dispute resolution process. However, litigation is often time-consuming and affects the working relationship between the disputants. In the construction context, where projects typically have a short life span of three to four years, dispute resolution through litigation induces unaffordable process delays. Despite the inherent challenges associated with litigation, it is observed that disputing parties resort to litigation. This behavior, called the litigation dilemma, ostensibly appears counterintuitive to rational decision-making.Design/methodology/approachThe study identifies 35 “decision to litigate” (DTL)-triggers from a review of the literature and court cases followed by expert interviews and groups them into thematic research domains using Exploratory Factor Analysis (EFA) followed by Confirmatory Factor Analysis (CFA).FindingsDTL studies in construction stands benefited through interdisciplinary research. “Presumptuous decision-making,” “construction project characteristics,” “milieu influence,” “interest in amicable resolution,” “positional focus” and “opportunism” are the six focus areas to decode the DTL in construction.Research limitations/implicationsThe study identifies factors that consolidate the knowledge from various fields with the substantive experience of construction professionals from across the world to help understand the dynamics behind the DTL in the context of contract-linked disputes in construction.Originality/valueThe findings from the domains of law, behavior, sociology and economics can help understand the above dilemma in the context of contractual disputes in construction. However, studies that explore the “decision to litigate” (DTL) contractual disputes in construction are limited, providing a vast scope for further research. The current study addresses a part of this gap.