Decision making in highway construction: a systematic review and future directions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Afiqah R. Radzi ◽  
Rahimi A. Rahman ◽  
Shu Ing Doh
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Decision Support ◽  
Construction Projects ◽  
Highway Construction ◽  
The Body ◽  
Decision Criteria ◽  
Future Directions ◽  
Content Type ◽  
Decision Making Models

Purpose Various approaches have emerged to assist practitioners in making more informed decisions in highway construction projects. However, industry practitioners are still using subjective ways to make decisions. Also, researchers have developed tools and techniques with similar objectives. Lack of information on what has been developed might lead to those issues. Therefore, this paper aims to review trends of evolution, pinpoint strengths and gaps in the literature and identifies potential future directions for decision-making research in highway construction projects. Design/methodology/approach A systematic review was conducted on published articles on decision-making in highway construction projects using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) technique. Findings The analysis of 101 articles revealed that existing decision-making research in highway construction projects targets improvements in four areas: feasibility, conceptual, detailed scope and detailed design. The four areas consist of sixteen subthemes that are detailed in this study. In addition, most research involved developing decision support tools and systems as well as decision-making models, techniques and frameworks. Lastly, several research areas have emerged, such as adding more decision criteria including those with uncertainties, expanding existing decision-making models into decision support systems, benchmarking decision criteria between different sample populations and exploring inter-and intra-relationships between decision criteria. Originality/value This paper provides an overview of existing research on decision-making in highway construction projects. Also, it reveals research gaps in the body of knowledge to point out directions for future research. Finally, industry practitioners can use the findings to develop strategies for effective decision-making processes.

BIM-enabled construction innovation through collaboration: a mixed-methods systematic review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hui Liu ◽  
Miroslaw J. Skibniewski ◽  
Qianqian Ju ◽  
Junjie Li ◽  
Hongbing Jiang
Keyword(s):  
Systematic Review ◽  
Mixed Methods ◽  
Conceptual Framework ◽  
Construction Projects ◽  
The Body ◽  
Information Modeling ◽  
Content Type ◽  
Body Of Knowledge ◽  
Building Information ◽  
Innovative Capabilities

PurposeThis study aims to explore the innovative capabilities of building information modeling (BIM) in construction projects. The objectives are to construct an inclusive conceptual framework of BIM-enabled construction innovation, identify the status and trends of innovation-related research in BIM publications, synthesize research pertaining to BIM-enabled construction innovation and discover core research requirements in the related body of knowledge.Design/methodology/approachThis study proposes a comprehensive theoretical framework, named innovation pyramid, comprising context, actor, artifact, process, structure and innovative task for exploring and analyzing the innovative capability of BIM in construction projects. Accordingly, mixed methods were used to perform a systematic review of research on the topic of BIM-enabled construction innovation.FindingsThe findings reveal that BIM innovation-related articles have predominantly considered BIM as an innovation from a technological standpoint, while the innovative capabilities of BIM have remained under-researched with a fragmented research focus. Fertile grounds for research have emerged and call for research pertaining to entities of “structure” and “innovative task” as well as interaction, interrelations and mutually adjusting effect among the entities.Practical implicationsThe framework proposed may be useful for subsequent research design and for assisting project management practitioners in the use of BIM to achieve innovation more efficiently.Originality/valueThis research provides an insight into the innovative capabilities of BIM based on the BIM–collaboration–construction innovation logic chain. It contributes to the body of knowledge by devising an inclusive conceptual framework of BIM-enabled construction innovation, synthesizing the state of the art and exposing the research needs in this area.

Four-pronged decision support framework for implementing industrialized construction projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ibrahim Yahaya Wuni ◽  
Geoffrey Qiping Shen ◽  
Adedayo Johnson Ogungbile ◽  
Jonathan Zinzi Ayitey
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Construction Projects ◽  
Organizational Factors ◽  
Construction Time ◽  
Stringent Requirement ◽  
Data Set ◽  
Content Type ◽  
Decision Support Framework ◽  
Decision Making Factors

Purpose Industrialized construction (IC) is promoted to address some of the ills associated with the processes and products of the traditional construction approach. With several successful projects, IC is progressively becoming a preferred alternative construction approach and spurred the interest of contractors, developers and housing authorities in the technology. Increasingly, these stakeholders are keen to ascertain the compatibility and feasibility of using IC in their projects. This paper aims to develop a knowledge-based decision support framework for implementing industrialized construction projects (ICPs) that can facilitate better and informed decision-making when deciding to implement ICPs. Design/methodology/approach A comprehensive literature review was implemented to recruit 40 decision support factors (DSFs) and grouped into project requirements, location and site attribute, labour considerations and organizational factors. A 3-member expert panel validated the relevance of 35 DSFs, which became candidates for a structured questionnaire survey of experts in 18 countries. Statistical techniques are used to evaluate and prioritize the DSFs, leading to the development of a conceptual framework. Findings Statistical analysis revealed 33 significant DSFs. The top five most significant factors that could influence the decision to implement IC in a project include a stringent requirement for project quality control, suitability of the design for IC, organizational readiness and competencies in ICPs, client receptivity to IC and the need to minimize field construction time. A framework of project requirements, location and site attributes, labour considerations and organizational factors was proposed as decision support. Practical implications The proposed framework may help to inform decision-making regarding the implementation of IC in a project. It has wider applicability because it includes technical, managerial and operational aspects of and the required competencies for IC, which are shared between project types and territories. The prioritized DSFs could be used as a guide when implementing IC, especially in countries where bespoke decision support systems cannot be developed. Originality/value The paper delineated the most important DSFs that are shared between IC project types and territories and can be used to investigate the compatibility of using IC in a proposed project. This research constitutes the first exclusive attempt at delineating, quantifying and ranking the sets of decision-making factors, drawing on international data set and contributes to the empirical checklist of DSFs for ICPs.

scholarly journals Decision support systems for sustainable logistics: a review and bibliometric analysis

2017 ◽  
Vol 117 (7) ◽  
pp. 1376-1388 ◽  
Author(s):  
Fahham Hasan Qaiser ◽  
Karim Ahmed ◽  
Martin Sykora ◽  
Alok Choudhary ◽  
Mike Simpson
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Bibliometric Analysis ◽  
Social Impact ◽  
Support Systems ◽  
Bottom Line ◽  
Content Type ◽  
Sustainable Logistics

Purpose Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges associated with decision making in sustainable logistics. The purpose of this paper is to explore the current state of the research in the domain of DSS for logistics while considering sustainability aspects. Design/methodology/approach A systematic review approach using a set of relevant keywords with several exclusion criteria was adopted to identify literature related to DSS for sustainable logistics. A total of 40 papers were found from 1994 to 2015, which were then analyzed along the dimensions of publishing trend, geographic distribution and collaboration, the most influential journals, affiliations and authors as well as the key themes of identified literature. The analysis was conducted by means of bibliometric and text mapping tools, namely BibExcel, gpsvisualizer and VOSviewer. Findings The bibliometric analysis showed that DSS for sustainable logistics is an emerging field; however, it is still evolving but at a slower pace. Furthermore, most of the contributing affiliations belong to the USA and the UK. The text mining and keyword analysis revealed key themes of identified papers. The inherent key themes were decision models and frameworks to address sustainable logistics issues covering transport, distribution and third-party logistics. The most prominent sustainable logistics issue was carbon footprinting. Social impact has been given less attention in comparison to economic and environmental aspects. The literature has adequate room for proposing more effective solutions by considering various types of multi-criteria decision analysis methods and DSS configurations while simultaneously considering economic, environmental and social aspects of sustainable logistics. Moreover, the field has potential to include logistics from wide application areas including freight transport through road, rail, sea, air as well as inter-modal transport, port operations, material handling and warehousing. Originality/value To the best of the authors’ knowledge, this is the first systematic review of DSS for sustainable logistics using bibliometric and text analysis. The key themes and research gaps identified in this paper will provide a reference point that will encourage and guide interested researchers for future study, thus aiding both theoretical and practical advancements in this discipline.

scholarly journals Decision support tools to improve cancer diagnostic decision making in primary care: a systematic review

2019 ◽  
Vol 69 (689) ◽  
pp. e809-e818 ◽  
Author(s):  
Sophie Chima ◽  
Jeanette C Reece ◽  
Kristi Milley ◽  
Shakira Milton ◽  
Jennifer G McIntosh ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Decision Making ◽  
Decision Support ◽  
Cost Effectiveness ◽  
Cancer Diagnosis ◽  
Decision Support Tools ◽  
Diagnostic Decision ◽  
Support Tools ◽  
Diagnostic Decision Making

BackgroundThe diagnosis of cancer in primary care is complex and challenging. Electronic clinical decision support tools (eCDSTs) have been proposed as an approach to improve GP decision making, but no systematic review has examined their role in cancer diagnosis.AimTo investigate whether eCDSTs improve diagnostic decision making for cancer in primary care and to determine which elements influence successful implementation.Design and settingA systematic review of relevant studies conducted worldwide and published in English between 1 January 1998 and 31 December 2018.MethodPreferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials were searched, and a consultation of reference lists and citation tracking was carried out. Exclusion criteria included the absence of eCDSTs used in asymptomatic populations, and studies that did not involve support delivered to the GP. The most relevant Joanna Briggs Institute Critical Appraisal Checklists were applied according to study design of the included paper.ResultsOf the nine studies included, three showed improvements in decision making for cancer diagnosis, three demonstrated positive effects on secondary clinical or health service outcomes such as prescribing, quality of referrals, or cost-effectiveness, and one study found a reduction in time to cancer diagnosis. Barriers to implementation included trust, the compatibility of eCDST recommendations with the GP’s role as a gatekeeper, and impact on workflow.ConclusioneCDSTs have the capacity to improve decision making for a cancer diagnosis, but the optimal mode of delivery remains unclear. Although such tools could assist GPs in the future, further well-designed trials of all eCDSTs are needed to determine their cost-effectiveness and the most appropriate implementation methods.

Productivity monitoring in building construction projects: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wesam Salah Alaloul ◽  
Khalid M. Alzubi ◽  
Ahmad B. Malkawi ◽  
Marsail Al Salaheen ◽  
Muhammad Ali Musarat
Keyword(s):  
Systematic Review ◽  
Construction Projects ◽  
Small Sample ◽  
Machine Learning Algorithms ◽  
Building Construction ◽  
Content Type ◽  
Construction Productivity ◽  
Automated Monitoring ◽  
Monitoring Tools ◽  
Meta Analyses

PurposeThe unique nature of the construction sector makes it fall behind other sectors in terms of productivity. Monitoring construction productivity is crucial for the construction project's success. Current practices for construction productivity monitoring are time-consuming, manned and error prone. Although previous studies have been implemented toward reducing these limitations, a gap still exists in the automated monitoring of construction productivity.Design/methodology/approachThis study aims to investigate and assess the different techniques used for monitoring productivity in building construction projects. Therefore, a mixed review methodology (bibliometric analysis and systematic review) was adopted. All the related publications were collected from different databases, which were further screened to get the most relevant based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria.FindingsA detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. Also, it was observed that current studies did not cover all the complex construction job sites and they were applied based on a small sample of construction workers and machines separately.Originality/valueThis review paper contributes to the literature on construction management by providing insight into different productivity monitoring techniques.

Value co-creation: a review of literature and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Victor Saha ◽  
Praveen Goyal ◽  
Charles Jebarajakirthy
Keyword(s):  
Systematic Review ◽  
Future Research ◽  
Review Of Literature ◽  
Relevant Research ◽  
Research Papers ◽  
Future Directions ◽  
Content Type ◽  
Extant Literature ◽  
Future Research Agenda ◽  
Theoretical Perspectives

Purpose The purpose of this paper is to present a systematic review of the available literature on value co-creation (VCC) and provide insightful future directions for research in this domain. Design/methodology/approach The extant literature on VCC has been reviewed by collecting relevant research papers based on certain specified delimiting criteria. A total of 110 research papers have been analysed to gain useful insights into VCC literature. Findings The study analyses the literature on VCC and provides a clear distinction between VCC and its closely related constructs in the literature. The study also draws significant insights from the VCC literature based on some specific parameters. Some frequently used theoretical perspectives have been discussed in the study, thus pointing towards a few alternative theories that can be used for future research. Finally, specific trends emerging from the literature have been discussed that provide a comprehensive understanding of the research inclinations of this concept, along with future scopes of research in the VCC domain. Research limitations/implications The papers were selected for this study based on some delimiting criteria. Thus, the findings cannot be generalised for the entire research on VCC. Originality/value This paper fulfils the need for a systematic review of the extant literature on VCC. The study synthesises literature and bibliography on VCC from 2004 to 2019 to benefit both academics and practitioners and gives some directions to advance this domain of literature.

Underlying factors for successful project management to construct sustainable built assets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marios Stanitsas ◽  
Konstantinos Kirytopoulos
Keyword(s):  
Project Management ◽  
Construction Projects ◽  
Sustainability Indicators ◽  
The Body ◽  
Senior Management ◽  
Sustainable Construction ◽  
Online Questionnaire ◽  
Content Type ◽  
Theoretical Contribution ◽  
Sustainable Economic Growth

PurposeThis study aims to investigate the underlying factors that give rise to the set of sustainability indicators which are used for the implementation of sustainable construction projects and eventually the production of sustainable built assets.Design/methodology/approachTo accomplish the purpose of this research, an online questionnaire survey was administered to a sample of 200 experts. By employing the statistical method of exploratory factor analysis (EFA), five distinct dimensions (factors) of stakeholders' attitudes were revealed.FindingsThe findings indicate that the sustainability indicators are based on five underlying factors, namely (1) sustainable competitiveness; (2) stakeholder engagement; (3) sustainable economic growth; (4) social sustainability; and (5) resource conservation and environmental policy.Research limitations/implicationsMore studies would be welcome to verify the underlying factors revealed in this paper.Practical implicationsThe knowledge of the underlying factors enables senior management to maintain a balance of choices during the project management (PM) phase in order to implement and deliver sustainable construction projects. Furthermore, the findings deepen the understanding toward sustainable PM practices by providing insights on its core attributes.Originality/valueAs a theoretical contribution to knowledge, this study enhances the body of knowledge by revealing the underlying factors that give rise to the predefined set of the 82 sustainability indicators which are used to enable sustainable construction projects. In practice, the findings aid senior management in adopting strategies that enhance the delivery of sustainable construction projects.

Influence of age and gender on decision-making models and leadership styles of non-profit executives in Texas, USA

2016 ◽  
Vol 24 (2) ◽  
pp. 186-203 ◽  
Author(s):  
Francis C. Uzonwanne
Keyword(s):  
Decision Making ◽  
Leadership Styles ◽  
Leadership Style ◽  
Business Strategies ◽  
Rational Decision ◽  
Content Type ◽  
Non Profit ◽  
Rational Decision Making ◽  
Significant Difference ◽  
Decision Making Models

Purpose The purpose of this study is to fill the gap by investigating the relationship between age and other demographics on decision-making and leadership styles of executives in the non-profit sector. Design/methodology/approach This study is a quantitative research using correlation analysis and analysis of variance. The quantitative approach establishes facts, makes predictions and tests stated hypothesis and used the Pearson correlation coefficient, the ANOVA and the two-way analysis of variance. This study used surveys to collect data. Findings H1 states that there will be no significant difference in the decision-making models used among non-profit organizational leaders (rational, intuitive, dependent, spontaneous and avoidant) based on demographic variables: gender and age. H2 states that there will be no significant difference in the leadership style used among non-profit organizational executives (selling, telling, delegating and participating) and different dimensions of demographic variables: gender and age. Research limitations/implications This study explored the relationship between the demographics, age and gender and the decision-making models (rational, intuitive, dependent, spontaneous and avoidant) and leadership styles (selling, telling, delegating and participating) of executives in non-profit organizations. The age of the executives also showed to be important factors that influenced executive’s leadership styles and decision-making models as well. Practical implications Rational decision-making as reflected to in this study has been used by older, possibly more experienced non-profit executives. This model is favorable towards making decisions on complicated issues. The final choice rational decision-makers select will maximize the outcome; it is assumed that the decision-maker will choose the alternative that rates the highest and get the maximum benefits (Robbins and Decenzo, 2003, pp. 141-142). The researcher suggests that non-profit executives, especially the younger executives, should attend management and leadership conferences that focus on rational decision-making models as concerns business strategies and making the best choices based on possible alternatives. Social implications Rational decision-making as reflected to in this study has been used by older, possibly more experienced non-profit executives. This model is favorable towards making decisions on complicated issues. The final choice rational decision-makers select will maximize the outcome; it is assumed that the decision-maker will choose the alternative that rates the highest and get the maximum benefits (Robbins and Decenzo, 2003, pp. 141-142). The researcher suggests that non-profit executives, especially the younger executives, should attend management and leadership conferences that focus on rational decision-making models as concerns business strategies and making the best choices based on possible alternatives. Originality/value This is an original piece of research that contributes to the literature on leadership style.

Knowledge-intensive entrepreneurship: a systematic review and future directions

2019 ◽  
Vol 17 (1) ◽  
pp. 50-67
Author(s):  
Caio Sousa ◽  
Luciana Soares Silva
Keyword(s):  
Systematic Review ◽  
Systematic Approach ◽  
Future Directions ◽  
Content Type ◽  
Future Studies ◽  
Knowledge Intensive ◽  
Relationship Of ◽  
The Relationship ◽  
Knowledge Intensive Entrepreneurship ◽  
Focal Issue

Purpose This study aims to propose a framework based on the main theoretical and empirical contributions present in the literature and articulate the main paths for future studies in knowledge-intensive entrepreneurship (KIE). Design/methodology/approach Using the systematic review method from a survey of 85 articles, related to the KIE focal issue, originated from the Web of Science, it was possible to exhaustively analyze the studies and to divide the theme into key categories. Findings The present research has raised the relationship of five categories to KIE conceptualizations; the data suggest that although the literature indicates a distancing from KIE research, there are multidisciplinary themes and approaches interlinked in the studies. Originality/value The systematic approach in the main theoretical and empirical contributions in KIE enabled us to relate five categories (entrepreneurs, innovation, internationalization, location and triple alliance), and finally, to understand the gaps suggested by the researchers.

Identifying enablers for coordination across construction supply chain processes: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qian Chen ◽  
Daniel Mark Hall ◽  
Bryan Tyrone Adey ◽  
Carl Thomas Haas
Keyword(s):  
Systematic Review ◽  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Construction Projects ◽  
Relevant Literature ◽  
Multiple Perspectives ◽  
Content Type ◽  
Chain Processes ◽  
Depth Analysis

PurposeManaging stakeholders' reciprocal interdependencies is always a challenging issue. Stakeholders need to find out different ways to communicate information and coordinate material flows during the supply chain processes. Many recent studies have advanced construction supply chain coordination from multiple perspectives. However, the field still lacks a comprehensive analysis to summarize existing research, to explicitly identify all the possible enablers for coordination and to investigate how the enablers can be carried out at the supply chain interfaces. To fill the gap, this study aims to conduct a systematic review in order to examine the relevant literature.Design/methodology/approachA systematic literature review process was conducted to identify and synthesize relevant publications (published in the past 20 years) concerning the coordination of construction supply chain functions. These publications were coded to link main research findings with specific enabler categories. In addition, how these enablers can be used at the interfaces across supply chain processes was reviewed with an in-depth analysis of reciprocal communications between stakeholders at design-to-production, production-to-logistics and production-to-site-assembly phases.FindingsThe coordination enablers were classified into three categories: (1) contractual enablers (including subtopics on relational contracts and incentive models), (2) procedural enablers (including subtopics on multiagent knowledge sharing systems and the last planner system) and (3) technological enablers (including subtopics on linked databases for design coordination, design for manufacturing software platforms and automated monitoring technologies). It was found that interfacing different functions requires a certain level of integration of stakeholders for quick response and feedback processes. The integration of novel contractual forms with digital technologies, such as smart contracts, however, was not adequately addressed in the state of the art.Research limitations/implicationsThe scope of the systematic review is limited to the static analysis of selected publications. Longitudinal studies should be further included to sharpen the inductions of enablers considering organizational changes and process dynamics in construction projects.Practical implicationsDifferent enablers for coordination were summarized in a concise manner, which provides researchers and project stakeholders with a reinforced understanding of various ways to manage reciprocal interdependencies at different supply chain interfaces.Originality/valueThis study constitutes an important input for research on the construction supply chain by illuminating the thematic topic of coordination from inductively developed review processes, which included a holistic framing of the emerging coordination enablers and their use across supply chain functions. Consequently, it closes some identified knowledge gaps and offers additional insights to improve the supply chain performance of construction projects.

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