Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review

Liu, Qiurui; Ma, Yanfang; Chen, Lin; Pedrycz, Witold; Skibniewski, Mirosław J.; Chen, Zhen-Song

doi:10.1016/j.inffus.2024.102423

Cited by 8 publications

(3 citation statements)

References 148 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fake reviews or spam reviews can have a significant negative impact on review quality. With the advent of the AI-generated content (AIGC) era, a large amount of machine-generated text, image, and video information may pose new challenges to the authenticity and credibility of online reviews [64]. Future research could investigate how to effectively identify and filter out low-quality or fraudulent content, and how the presence of such content may affect consumer perceptions and behaviors.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Online Review Helpfulness and Information Overload: The Roles of Text, Image, and Video Elements

Wang,

Che,

et al. 2024

JTAER

Self Cite

View full text Add to dashboard Cite

Online reviews have become an important source of information for consumers, significantly influencing their purchasing decisions. However, the abundance and variety of review formats, especially the mix of text, image, and video elements, can lead to information overload and hinder effective decision-making. This study investigates how different review formats and their combinations affect the perceived helpfulness of reviews. We develop a comprehensive framework to analyze the interactions between text, image, and video elements and their impact on the helpfulness of reviews. We collect and code 8693 online reviews from JingDong Mall Mallacross six product categories, including both experience products and search products, and use multiple regression analysis to test our hypotheses. Our results show that textual review elements significantly increase review helpfulness. However, their effectiveness decreases as the amount of information increases, indicating cognitive overload. Text reviews are more prone to contribute to information overload, while visual elements such as images and videos generally do not contribute to information overload in the coexistence of text, image, and video reviews. Imagery components have a minimal effect on review helpfulness. Video elements are relatively short, which may not be sufficient to convey useful information. We also find that the impact of review formats varies between experience products and search products, and that star ratings moderate the alignment of textual or imagery components with consumer expectations. We conclude that the hybrid of text, image, and video elements in online reviews plays a crucial role in shaping consumer decision-making and information overload. Our research contributes to the literature on online reviews and information overload while providing practical implications for online retailers, review platforms, and consumers to optimize review formats, star ratings, and product types to facilitate informed purchase decisions.

show abstract

Section: Limitations and Future Researchmentioning

confidence: 99%

Online Review Helpfulness and Information Overload: The Roles of Text, Image, and Video Elements

Wang,

Che,

et al. 2024

JTAER

Self Cite

View full text Add to dashboard Cite

show abstract

“…This progression from the simplest form of prefabrication, using basic structural components, through more complex modular constructions highlights the incremental advancements in prefabrication techniques that enhance efficiency, reduce delays, and mitigate environmental impacts across the construction industry. Recent studies in MiC and construction supply chain management (CSC) have highlighted a series of significant challenges necessitating in-depth research [3,[6][7][8][9]. These works underline the critical need for resilient CSC frameworks capable of mitigating impacts from disruptions, a common feature in today's dynamic construction environments [10].…”

Section: Introductionmentioning

confidence: 99%

“…This transparency is essential for making informed decisions quickly, improving operational efficiency and reducing delays. AI can also facilitate predictive analytics, enabling potential delays or problems to be anticipated before they occur [8].…”

Section: Introductionmentioning

confidence: 99%

Multi-Agent Simulation Approach for Modular Integrated Construction Supply Chain

Attajer,

Mecheri

2024

Applied Sciences

View full text Add to dashboard Cite

The shift from traditional on-site to off-site construction marks a significant evolution in the construction industry, characterized by increasing levels of prefabrication. These advancements enhance construction efficiency, reduce lead times, and mitigate environmental impacts, leading to modular integrated construction (MiC). However, MiC presents complex supply chain challenges, particularly in the transportation of prefabricated components and fully integrated modules. This study addresses these challenges by employing a multi-agent simulation using AnyLogic to optimize MiC transport logistics. The simulation models the interactions of various agents involved in the MiC process to improve operational efficiency and reduce costs. Results demonstrate that using three vehicles per supplier minimizes total transport costs, effectively balancing fixed and variable expenses while eliminating penalties for project delays. The findings highlight the cost efficiency of MiC, showing potential savings due to centralized assembly and optimized logistics. These significantly reduce material transportation and related costs, contributing to the overall efficiency and sustainability of construction projects. These insights underscore the value of multi-agent simulation in addressing the complexities of MiC supply chains.

show abstract

Advancing modular construction through circular economy: Insights from semi-automated PRISMA analysis and topic modeling

Ly,

Le,

Hoang Nhat Nguyen

et al. 2024

Journal of Building Engineering

View full text Add to dashboard Cite

Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review

Cited by 8 publications

References 148 publications

Online Review Helpfulness and Information Overload: The Roles of Text, Image, and Video Elements

Online Review Helpfulness and Information Overload: The Roles of Text, Image, and Video Elements

Multi-Agent Simulation Approach for Modular Integrated Construction Supply Chain

Advancing modular construction through circular economy: Insights from semi-automated PRISMA analysis and topic modeling

Contact Info

Product

Resources

About