The construction industry is undergoing a transformative shift driven by the integration of cutting-edge technologies and innovative management practices. One of the most critical aspects in this sector—bidding and contractor selection—stands to benefit enormously from these advancements. This Research Topic aims to explore novel models and methodologies that can enhance the efficiency, transparency, and sustainability of construction bidding processes.
This Research Topic invites multidisciplinary contributions that address the modernization of construction bidding by leveraging tools such as real-time data analytics, artificial intelligence, machine learning, blockchain, and Building Information Modeling (BIM). It will particularly focus on the development and application of multi-criteria decision-making (MCDM) methods and decision support systems (DSS) that facilitate rational, data-driven choices in contractor selection and project planning.
In parallel, the Research Topic encourages the use of scientometric and bibliometric tools to map the intellectual landscape, emerging trends, and collaborative networks in the field. These analyses will help identify knowledge gaps and future research directions while supporting the development of innovative, evidence-based frameworks.
We welcome original research articles, reviews, and case studies that address topics including, but not limited to:
- Innovative bidding models and algorithms for contractor selection - Integration of AI and real-time analytics into bidding and procurement workflows - Blockchain and smart contract applications in transparent bidding - Sustainability-oriented bidding frameworks aligned with the UN SDGs - Network and scientometric analysis of research trends in construction bidding - Decision support tools and MCDM techniques for optimized project planning - Economic, social, and environmental benefits of digitized bidding processes - International collaboration strategies and policy perspectives in construction procurement
This forward-looking Research Topic seeks to set new benchmarks in construction management by redefining how bidding processes are designed and executed. Contributions that demonstrate real-world impact, interdisciplinary collaboration, and relevance to sustainable development goals are especially encouraged.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Review
Keywords: Construction Bidding, Decision Support Systems, Multi-Criteria Decision-Making (MCDM), Real-Time Data Analytics, Transparency in Procurement
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.