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Article
Publication date: 6 February 2024

Chi Zhang, Kun He, Wenjie Zhang, Ting Jin and Yibin Ao

To further promote application of BIM technology in construction of prefabricated buildings, influencing factors and evolution laws of willingness to apply BIM technology are…

Abstract

Purpose

To further promote application of BIM technology in construction of prefabricated buildings, influencing factors and evolution laws of willingness to apply BIM technology are explored from the perspective of willingness of participants.

Design/methodology/approach

In this paper, a tripartite game model involving the design firm, component manufacturer and construction firm is constructed and a system dynamics method is used to explore the influencing factors and game evolution path of three parties' application of BIM technology, from three perspectives, cost, benefit and risk.

Findings

The government should formulate measures for promoting the application of BIM according to different BIM application willingness of the parties. When pursuing deeper BIM application, the design firm should pay attention to reducing the speculative benefits of the component manufacturer and the construction firm. The design firm and the component manufacturer should pay attention to balancing the cost and benefit of the design firm while enhancing collaborative efforts. When the component manufacturer and the construction firm cooperate closely, it is necessary to pay attention to balanced distribution of interests of both parties and lower the risk of BIM application.

Originality/value

This study fills a research gap by comprehensively investigating the influencing factors and game evolution paths of willingness of the three parties to apply BIM technology to prefabricated buildings. The research helps to effectively improve the building quality and construction efficiency, and is expected to contribute to the sustainability of built environment in the context of circular economy in China.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 25 June 2024

Zhicai Yu, Lili Wang, Yiwei Shao, Yun Liu, Yuhang Zhao, Yi Qin, Yingzi Zhang and Hualing He

This study aims to fabricate a novel electromagnetic interference (EMI) shielding composite aerogel with both thermal insulation and high temperature warning functions.

Abstract

Purpose

This study aims to fabricate a novel electromagnetic interference (EMI) shielding composite aerogel with both thermal insulation and high temperature warning functions.

Design/methodology/approach

An emerging bio-based polypyrrole (PPy) gel/Fe3O4/calcium alginate (PFC) EMI shielding composite aerogel was prepared by freeze-drying and in situ polymerization method. First, Fe3O4/calcium alginate (CA) aerogel was obtained by freeze-drying the Fe3O4/CA mixture. Then, PPy/Fe3O4/CA was obtained by synthesizing PPy on the surface of CA/Fe3O4 aerogel through in situ polymerization. Finally, PPy/Fe3O4/CA was immersed in porphyrin solution (cross-linking agent) to get the final PFC EMI shielding composite aerogel.

Findings

Due to the matched impedance between Fe3O4 and PPy, the EMI shielding performance of PFC composite aerogel can reach up to −8 dB. In addition, the PFC EMI shielding composite aerogel also shows excellent self-extinguishing and thermal insulation properties. After leaving the flame, the burning PFC aerogel is quickly extinguished. When the PFC aerogel is placed on the heating plate at 230 °C, the temperature on the side of the aerogel away from the heating plate is only 90.3 °C after 5 min of heating. The electrical resistance of the PFC composite aerogel can be reduced from 3.62 × 104 O to 5 × 102 O to trigger the warning light after 3 s of exposure to the alcohol lamp flame. This reversible thermal resistance response characteristic can be used to give an early warning signal when the PFC encounters high temperature or flame.

Originality/value

This work provides a novel strategy for designing a multifunctional EMI shielding composite aerogel with repeatable high temperature warning performance. This PFC composite aerogel shows potential applications in the prevention of material combustion in high temperature electromagnetic environments.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

Keywords

Article
Publication date: 16 September 2024

Weiwei Yue, Yuwei Cao, Shuqi Xie, Kang Ning Cheng, Yue Ding, Cong Liu, Yan Jing Ding, Xiaofeng Zhu, Huanqing Liu and Muhammad Shafi

This study aims to improve detection efficiency of fluorescence biosensor or a graphene field-effect transistor biosensor. Graphene field-effect transistor biosensing and…

Abstract

Purpose

This study aims to improve detection efficiency of fluorescence biosensor or a graphene field-effect transistor biosensor. Graphene field-effect transistor biosensing and fluorescent biosensing were integrated and combined with magnetic nanoparticles to construct a multi-sensor integrated microfluidic biochip for detecting single-stranded DNA. Multi-sensor integrated biochip demonstrated higher detection reliability for a single target and could simultaneously detect different targets.

Design/methodology/approach

In this study, the authors integrated graphene field-effect transistor biosensing and fluorescent biosensing, combined with magnetic nanoparticles, to fabricate a multi-sensor integrated microfluidic biochip for the detection of single-stranded deoxyribonucleic acid (DNA). Graphene films synthesized through chemical vapor deposition were transferred onto a glass substrate featuring two indium tin oxide electrodes, thus establishing conductive channels for the graphene field-effect transistor. Using π-π stacking, 1-pyrenebutanoic acid succinimidyl ester was immobilized onto the graphene film to serve as a medium for anchoring the probe aptamer. The fluorophore-labeled target DNA subsequently underwent hybridization with the probe aptamer, thereby forming a fluorescence detection channel.

Findings

This paper presents a novel approach using three channels of light, electricity and magnetism for the detection of single-stranded DNA, accompanied by the design of a microfluidic detection platform integrating biosensor chips. Remarkably, the detection limit achieved is 10 pm, with an impressively low relative standard deviation of 1.007%.

Originality/value

By detecting target DNA, the photo-electro-magnetic multi-sensor graphene field-effect transistor biosensor not only enhances the reliability and efficiency of detection but also exhibits additional advantages such as compact size, affordability, portability and straightforward automation. Real-time display of detection outcomes on the host facilitates a deeper comprehension of biochemical reaction dynamics. Moreover, besides detecting the same target, the sensor can also identify diverse targets, primarily leveraging the penetrative and noninvasive nature of light.

Details

Sensor Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 7 May 2024

Pingping Hou, Zheng Qian, Meng Xin Hu, Ji Qi Liu, Jun Zhang, Wei Zhao, Xiao Li, Yong Wang, HongYan Huang and Qian Ping Ran

The purpose of this study is to explore the interfacial adhesion between superhydrophobic coatings FC-X (X = 1%, 2%, 3%, 4% and 5%) and the concrete substrate, along with the…

Abstract

Purpose

The purpose of this study is to explore the interfacial adhesion between superhydrophobic coatings FC-X (X = 1%, 2%, 3%, 4% and 5%) and the concrete substrate, along with the impact of FC-X on the water repellency characteristics of the concrete substrate.

Design/methodology/approach

One synthetic step was adopted to prepare novel F-SiO2 NP hybrid fluororesin coating. The impact of varying mass fractions of F-SiO2 NPs on the superhydrophobicity of FC-X was analyzed and subsequently confirmed through water contact angle (WCA) measurements. Superhydrophobic coatings were simply applied to the concrete substrate using a one-step spraying method. The interfacial adhesion between FC-X and the concrete substrate was analyzed using tape pasting tests and abrasion resistance measurements. The influence of FC-X on the water repellency of the concrete substrate was investigated through measurements of water absorption, impermeability and electric flux.

Findings

FC-4% exhibits excellent superhydrophobicity, with a WCA of 157.5° and a sliding angle of 2.3°. Compared to control sample, FC-X exhibits better properties, including chemical durability, wear resistance, adhesion strength, abrasion resistance, water resistance and impermeability.

Practical implications

This study offers a thorough investigation into the practical implications of enhancing the durability and water repellency of concrete substrates by using superhydrophobic coatings, particularly FC-4%, which demonstrates exceptional superhydrophobicity alongside remarkable chemical durability, wear resistance, adhesion strength, abrasion resistance, water resistance and impermeability.

Originality/value

Through the examination of the interfacial adhesion between FC-X and the concrete substrate, along with an assessment of FC-X’s impact on the water repellency of the concrete, this paper provides valuable insights into the practical application of superhydrophobic coatings in enhancing the durability and performance of concrete materials.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

Keywords

Article
Publication date: 27 August 2024

Ömer Tuğsal Doruk

This study aims to explore a novel framework for housing price bubbles in the Turkish economy during the pandemic. It examines the probability of housing bubble formation relative…

Abstract

Purpose

This study aims to explore a novel framework for housing price bubbles in the Turkish economy during the pandemic. It examines the probability of housing bubble formation relative to the pre-pandemic period and identifies possible determinants of housing bubbles in the Turkish economy.

Design/methodology/approach

In this study, a two-stage novel estimation method is applied. In the first stage, bubble periods are identified through the right-tailed supremum augmented Dickey–Fuller test. In the second stage, the determinants of these bubbles are identified, and the housing bubble determinants during the COVID-19 pandemic are compared to the pre-pandemic period.

Findings

The findings indicate that there is an asset price bubble in the housing market during the pandemic period. Furthermore, mortgage credit expansion, mortgage credit rates and the depreciation of the Turkish Lira against the USD could increase housing bubble formation. However, housing sector sales to foreign investors do not contribute to housing bubble formation during the pandemic in the Turkish housing market.

Originality/value

To the best of the author’s knowledge, this is the first study to address the relative determinants of housing bubbles in an emerging market context during the pandemic.

Details

International Journal of Housing Markets and Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 1 August 2024

Muhammed Baykal, Ahu Yazıcı Ayyıldız and Erdogan Koc

This study aims to investigate the influence of customer satisfaction and brand loyalty on hotel guests’ repurchase intentions when they experience consumer confusion.

Abstract

Purpose

This study aims to investigate the influence of customer satisfaction and brand loyalty on hotel guests’ repurchase intentions when they experience consumer confusion.

Design/methodology/approach

A quantitative research method was used in the study and the data were collected through a survey. A survey was used to collect data from 406 hotel guests staying at four and five-star hotels. The structural equation model was used to test the influence of consumer confusion on hotel guests’ repurchase intentions.

Findings

The findings of the study show that while consumer confusion has a negative effect on hotel guests’ repurchase intentions, customer satisfaction and brand loyalty have a positive influence on their repurchase intentions. Customer satisfaction and brand loyalty tend to have a partial mediating role in the relationship between consumer confusion and repurchase intention.

Practical implications

The findings show the need for the hotel management to provide simple, concise, yet sufficient information enabling tourists to differentiate their offerings to reduce confusion.

Originality/value

Previous research has largely neglected the role of guests’ loyalty and satisfaction with the hotel brand. This research shows that guests’ loyalty and satisfaction with the hotel brand play an important role in terms of the repurchase intention and in reducing confusion.

Details

International Journal of Contemporary Hospitality Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 4 June 2024

Desta Jatana and Azmeraw Ayehu Tesfahun

Agricultural production in Ethiopia is largely dependent on seasonal rainfall. This has made the agriculture-based economy of the country extremely vulnerable to the impacts of…

Abstract

Purpose

Agricultural production in Ethiopia is largely dependent on seasonal rainfall. This has made the agriculture-based economy of the country extremely vulnerable to the impacts of climatic change. To reduce this risk, the government has introduced strategies that promote irrigation as a key policy priority. Despite this, there has been limited empirical evidence on the impact of practicing small-scale irrigation on household income. This study was, therefore, conducted to examine the impact of access to small-scale irrigation on farm-household income in GannaBossa district, Ethiopia.

Design/methodology/approach

A multistage stratified random sampling technique was adopted to select 289 study participants. The data were analysed using both descriptive and inferential data analysis techniques. Propensity score matching (PSM) and logit regression were applied to analyse the impact of irrigation utilization on farm households’ income and identify factors influencing farm households’ decisions about irrigation-utilization, respectively.

Findings

The results of the study indicated that access to irrigation has a positive and significant impact on farm-household income. Estimates of the PSM model also confirmed that the mean income of irrigating households is significantly higher than that of non-irritating households. Further analysis of the results of the regression model revealed that amongst the hypothesized predictors of irrigation utilization, family size, soil fertility status, access to credit, access to extension services and access to the market were found to be positive and significant determinants of irrigation utilization, while distance to a water source was found to be a negative and significant predictor of irrigation utilization.

Practical implications

The results of the study can inform development practitioners on how expanding access to irrigation can serve as one key driver in enhancing growth in agricultural productivity, increasing household income and contributing to the alleviation of rural poverty in areas with irregular rainfall and a high risk of drought.

Originality/value

Given the country’s irrigation potential and policy priorities, such empirical evidence informs decision-makers to make informed decisions regarding prioritizing irrigation interventions and expanding access and management in Ethiopia.

Details

International Journal of Social Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0306-8293

Keywords

Article
Publication date: 15 December 2023

Zehui Bu, Jicai Liu and Jiaqi Liu

Emotions, understood as evolving mental states, are pivotal in shaping individuals“' decision-making, especially in ambiguous information evaluation, probability estimation of…

Abstract

Purpose

Emotions, understood as evolving mental states, are pivotal in shaping individuals“' decision-making, especially in ambiguous information evaluation, probability estimation of events, and causality analysis. Public–private partnership (PPP) projects represent a confluence of “economic–environmental–social” dimensions, wherein stakeholder behavior follows the sequential progression of “cognition–emotion–action.” Consequently, comprehending the effects of emotional shifts on stakeholder's decision-making processes is vital to fostering the sustainability of PPP projects.

Design/methodology/approach

The paper utilizes rank-dependent expected utility and evolutionary game theory to systematically examine the influence of emotional factors on stakeholders' behavior and decision-making processes within PPP projects. The paper integrates three emotional state functions—optimism, pessimism and rationality—into the PPP framework, highlighting the intricate interactions among the government, private sector, surrounding public and the media. Furthermore, the paper amalgamates the evolutionary pathways of environmental rights incidents with the media's role. Through equilibrium analysis and numerical simulation, the paper delves into the diverse interplay of emotions across different phases of the environmental rights incident, assessing the impact of these emotions on the evolutionary game's equilibrium results.

Findings

Emotions significantly influence the microlevel decisions of PPP stakeholders, adapting continually based on event dynamics and media influences. When the private sector demonstrates optimism and the surrounding public leans toward rationality or pessimism, the likelihood of the private sector engaging in speculative behavior escalates, while the surrounding public refrains from adopting a supervisory strategy. Conversely, when the private sector is pessimistic and the public is optimistic, the system fails to evolve a stable strategy. However, when government regulation intensifies, the private sector opts for a nonspeculative strategy, and the surrounding public adopts a supervisory strategy. Under these conditions, the system attains a relatively optimal state of equilibrium.

Originality/value

The paper develops a game model to examine the evolutionary dynamics between the surrounding public and private sectors concerning environmental rights protection in waste incineration PPP projects. It illuminates the nature of the conflicting interests among project participants, delves into the impact of emotional factors on their decision-making processes and offers crucial perspectives for the governance of such partnerships. Furthermore, this paper provides substantive recommendations for emotional oversight to enhance governance efficacy.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 22 August 2024

Jiawei Liu, Zi Xiong, Yi Jiang, Yongqiang Ma, Wei Lu, Yong Huang and Qikai Cheng

Fine-tuning pre-trained language models (PLMs), e.g. SciBERT, generally require large numbers of annotated data to achieve state-of-the-art performance on a range of NLP tasks in…

32

Abstract

Purpose

Fine-tuning pre-trained language models (PLMs), e.g. SciBERT, generally require large numbers of annotated data to achieve state-of-the-art performance on a range of NLP tasks in the scientific domain. However, obtaining fine-tuning data for scientific NLP tasks is still challenging and expensive. In this paper, the authors propose the mix prompt tuning (MPT), which is a semi-supervised method aiming to alleviate the dependence on annotated data and improve the performance of multi-granularity academic function recognition tasks.

Design/methodology/approach

Specifically, the proposed method provides multi-perspective representations by combining manually designed prompt templates with automatically learned continuous prompt templates to help the given academic function recognition task take full advantage of knowledge in PLMs. Based on these prompt templates and the fine-tuned PLM, a large number of pseudo labels are assigned to the unlabelled examples. Finally, the authors further fine-tune the PLM using the pseudo training set. The authors evaluate the method on three academic function recognition tasks of different granularity including the citation function, the abstract sentence function and the keyword function, with data sets from the computer science domain and the biomedical domain.

Findings

Extensive experiments demonstrate the effectiveness of the method and statistically significant improvements against strong baselines. In particular, it achieves an average increase of 5% in Macro-F1 score compared with fine-tuning, and 6% in Macro-F1 score compared with other semi-supervised methods under low-resource settings.

Originality/value

In addition, MPT is a general method that can be easily applied to other low-resource scientific classification tasks.

Details

The Electronic Library , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 13 August 2024

Erfan Heidari and Mahmoud Reza Saghafi

This qualitative case study explores the challenges that architecture students encounter in grasping the concept of fair PA. The study also delves into the students' viewpoints on…

Abstract

Purpose

This qualitative case study explores the challenges that architecture students encounter in grasping the concept of fair PA. The study also delves into the students' viewpoints on this matter and the strategies they utilize to navigate it.

Design/methodology/approach

Around 29 architecture students took part in the PA process. Data was gathered by observing PA sessions and conducting interviews with students. The data was then analyzed using the thematic method.

Findings

The study uncovers fairness challenges from the perspective of architecture students, such as concerns regarding collusion, power dynamics within friend groups, limitations of participatory culture, and overwhelming responsibility. The study suggests that a multistage PA process can be an effective approach to addressing fairness challenges. Furthermore, it sheds light on the obstacles that architecture students face in comprehending fairness and their viewpoints and tactics regarding fairness during PA.

Practical implications

The findings indicate that increasing students' engagement in learning activities during the critique and assessment process in the DS can enhance their understanding of fairness in PA and boost their satisfaction with final course grades.

Originality/value

This study investigates the relationship between architecture students' engagement and assessment fairness, by focusing on the role of perceived fair PA within design studio settings.

Details

Journal of Applied Research in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-7003

Keywords

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