Search results

1 – 10 of over 2000
Article
Publication date: 28 February 2024

Dat Tien Doan, Tuyet Phuoc Anh Mai, Ali GhaffarianHoseini, Amirhosein Ghaffarianhoseini and Nicola Naismith

This study aims to identify the primary research areas of modern methods of construction (MMC) along with its current trends and developments.

Abstract

Purpose

This study aims to identify the primary research areas of modern methods of construction (MMC) along with its current trends and developments.

Design/methodology/approach

A combination of bibliometric and qualitative analysis is adopted to examine 1,957 MMC articles in the Scopus database. With the support of CiteSpace 6.1.R6, the clusters, leading authors, journals, institutions and countries in the field of MMC are examined.

Findings

Offsite construction, inter-modular connections, augmenting output, prefabricated concrete beams and earthquake-resilient prefabricated beam–column steel joints are the top five research areas in MMC. Among them, offsite construction and inter-modular connections are significantly focused, with many research articles. The potential for collaboration, among prominent authors such as Wang, J., Liu, Y. and Wang, Y., explains the recent rapid growth of the MMC field of research. With a total of 225 articles, Engineering Structures is the journal that has published the most articles on MMC. China is the leading country in this field, and the Ministry of Education China is the top institution in MMC.

Originality/value

The findings of this study bear significant implications for stakeholders in academia and industry alike. In academia, these insights allow researchers to identify research gaps and foster collaboration, steering efforts toward innovative and impactful outcomes. For industries using MMC practices, the clarity provided on MMC techniques facilitates the efficient adoption of best practices, thereby promoting collaboration, innovation and global problem-solving within the construction field.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Book part
Publication date: 24 August 2023

Timo Paumen, David P. Kroon and Svetlana N. Khapova

While Merger & Acquisition (M&A) activity has reached unprecedented levels over recent years, M&A failure rates remain high. Yet, there is growing evidence that private equity…

Abstract

While Merger & Acquisition (M&A) activity has reached unprecedented levels over recent years, M&A failure rates remain high. Yet, there is growing evidence that private equity funds show high success rates. As little is known about the differences between different types of buyers, and only scant information exists on private equity funds’ operations, we inductively explore the reasons for their outperformance. In this qualitative study, we identify three characteristics (i.e., organizational set-up, private equity investors’ professional identities, and an integrative work approach), which we brought together into a theoretical framework that explains how private equity professionals can enable better M&A performance. Finally, our findings underline the effectiveness of specific incentivization approaches applied in private equity funds.

Book part
Publication date: 29 May 2023

Simona Andreea Apostu, Maria Denisa Vasilescu and Kiran Sood

Introduction: One of the main goals of the 2030 Agenda for Sustainable Development is to represent gender equality due to its essential role in sustainable progress. At the same…

Abstract

Introduction: One of the main goals of the 2030 Agenda for Sustainable Development is to represent gender equality due to its essential role in sustainable progress. At the same time, the balance between women and men in management is explicitly mentioned as a desideratum, given that more women in leadership roles positively impact business performance and sustainability.

Purpose: The study investigates the dynamic relationship between gender inequalities in management positions and sustainable competitiveness. Our contribution is twofold: we examine this interrelationship and its causality.

Methodology: We used panel data of 350 observations for 2012–2021, and we employ a Vector Auto-Regression model and Granger causality method to examine the relationship between the gender gap in management and sustainable competitiveness. The panel VAR for analysing the impulse response function was enriched using Monte Carlo simulations with 5% and 95%.

Findings: The results highlighted that a bidirectional causality between the gender gap in management and sustainable competitiveness is manifested in the European countries. Our results are similar to other studies found in the literature, with gender equality and sustainability positively associated. As an element of originality, our study demonstrates that gender equality in management contributes to sustainable performance, and, on the other hand, a more competitive and sustainable environment contributes to eliminating the gap between men and women in management.

Details

Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy
Type: Book
ISBN: 978-1-80382-555-7

Keywords

Book part
Publication date: 20 November 2023

Tahani Aldosemani

HyFlex course design is an effective instructional course design that combines active and transformative learning techniques. HyFlex course design encourages active learning by…

Abstract

HyFlex course design is an effective instructional course design that combines active and transformative learning techniques. HyFlex course design encourages active learning by focusing on interactive activities, discussions, and collaboration. It also allows learners to collaborate effectively and flexibly as a community, providing peer support and opportunities for authentic dialogue and learning experiences. HyFlex course design provides the opportunity for transformative learning through its ability to offer personalized educational experiences to individuals. It facilitates greater customization of the learning experience, allowing individual learners to access tailored educational modules, offer personalized educational experiences to individuals, and effectively develop and build independent and critical thinking skills. This conceptual review, supported by implications from HyFlex literature and triangulated with experts' views undertaking a Delphi study, facilitates understanding the current state of research in HyFlex course design and future application strategies. Existing research has identified HyFlex courses as a promising means of engaging students in active learning. Allowing students to learn through flexibly predesigned mixed online and in-person experiences enables higher levels of student autonomy and supports students in taking more ownership of their learning. This approach can facilitate an understanding of how HyFlex courses can improve active learning practices in higher education. The review study findings identify the reported alignment issues and challenges, suggest four strategies and actions for policymakers and stakeholders, and provide a suggested research agenda for bridging identified research gaps.

Future research can provide evidence of the benefits of HyFlex course design and how flexible course design can address the challenges of traditional face-to-face courses, such as reduced student engagement, lack of student-centered approaches, and limited support for different learning styles. Further research can focus on strategies that can be used to promote active learning in HyFlex courses. Moreover, research can investigate how this kind of course design can equip educators with the skills and knowledge needed to design and implement effective and meaningful active learning experiences. Finally, research can assess the potential impact of HyFlex course design on student outcomes, including performance, satisfaction, and engagement.

Details

Active and Transformative Learning in STEAM Disciplines
Type: Book
ISBN: 978-1-83753-619-1

Keywords

Article
Publication date: 14 October 2022

Yiwen Li, Zhihai Dong, Junyan Miao, Huifang Liu, Aleksandr Babkin and Yunlong Chang

This paper aims to anticipate the possible development direction of WAAM. For large-scale and complex components, the material loss and cycle time of wire arc additive…

Abstract

Purpose

This paper aims to anticipate the possible development direction of WAAM. For large-scale and complex components, the material loss and cycle time of wire arc additive manufacturing (WAAM) are lower than those of conventional manufacturing. However, the high-precision WAAM currently requires longer cycle times for correcting dimensional errors. Therefore, new technologies need to be developed to achieve high-precision and high-efficiency WAAM.

Design/methodology/approach

This paper analyses the innovations in high-precision WAAM in the past five years from a mechanistic point of view.

Findings

Controlling heat to improve precision is an effective method. Methods of heat control include reducing the amount of heat entering the deposited interlayer or transferring the accumulated heat out of the interlayer in time. Based on this, an effective and highly precise WAAM is achievable in combination with multi-scale sensors and a complete expert system.

Originality/value

Therefore, a development direction for intelligent WAAM is proposed. Using the optimised process parameters based on machine learning, adjusting the parameters according to the sensors’ in-process feedback, achieving heat control and high precision manufacturing.

Article
Publication date: 15 December 2023

Muhammad Arif Mahmood, Chioibasu Diana, Uzair Sajjad, Sabin Mihai, Ion Tiseanu and Andrei C. Popescu

Porosity is a commonly analyzed defect in the laser-based additive manufacturing processes owing to the enormous thermal gradient caused by repeated melting and solidification…

Abstract

Purpose

Porosity is a commonly analyzed defect in the laser-based additive manufacturing processes owing to the enormous thermal gradient caused by repeated melting and solidification. Currently, the porosity estimation is limited to powder bed fusion. The porosity estimation needs to be explored in the laser melting deposition (LMD) process, particularly analytical models that provide cost- and time-effective solutions compared to finite element analysis. For this purpose, this study aims to formulate two mathematical models for deposited layer dimensions and corresponding porosity in the LMD process.

Design/methodology/approach

In this study, analytical models have been proposed. Initially, deposited layer dimensions, including layer height, width and depth, were calculated based on the operating parameters. These outputs were introduced in the second model to estimate the part porosity. The models were validated with experimental data for Ti6Al4V depositions on Ti6Al4V substrate. A calibration curve (CC) was also developed for Ti6Al4V material and characterized using X-ray computed tomography. The models were also validated with the experimental results adopted from literature. The validated models were linked with the deep neural network (DNN) for its training and testing using a total of 6,703 computations with 1,500 iterations. Here, laser power, laser scanning speed and powder feeding rate were selected inputs, whereas porosity was set as an output.

Findings

The computations indicate that owing to the simultaneous inclusion of powder particulates, the powder elements use a substantial percentage of the laser beam energy for their melting, resulting in laser beam energy attenuation and reducing thermal value at the substrate. The primary operating parameters are directly correlated with the number of layers and total height in CC. Through X-ray computed tomography analyses, the number of layers showed a straightforward correlation with mean sphericity, while a converse relation was identified with the number, mean volume and mean diameter of pores. DNN and analytical models showed 2%–3% and 7%–9% mean absolute deviations, respectively, compared to the experimental results.

Originality/value

This research provides a unique solution for LMD porosity estimation by linking the developed analytical computational models with artificial neural networking. The presented framework predicts the porosity in the LMD-ed parts efficiently.

Article
Publication date: 3 March 2023

Lazhar Tlili, Chelbi Anis and Mokhles Bouazizi

This paper deals with a particular type of leasing contracts according to which an equipment is leased for free with the condition for the lessee to purchase a predetermined…

Abstract

Purpose

This paper deals with a particular type of leasing contracts according to which an equipment is leased for free with the condition for the lessee to purchase a predetermined minimum quantity of consumables during each leasing period. Maintenance actions are performed by the lessor and borne by him. Imperfect preventive maintenance is carried out every t time units throughout the leasing period. Minimal repairs are performed following equipment failures. At the end of the leasing period, an overhaul which restores the equipment to “as good as new” state is performed. The equipment is leased many times during its life cycle. The purpose of this paper is to determine the values of the decision variables for the lessor, which are the preventive maintenance (PM) period and the minimum quantity of consumables to be sold to ensure profit.

Design/methodology/approach

A mathematical model is developed to express the expected maintenance cost per time unit incurred by the lessor as well as his expected profit over the equipment life cycle. The optimal PM period minimizing the maintenance cost is determined first. Then, given the corresponding minimum maintenance cost, the minimum quantity of consumables (the lessor's break-even point) to be purchased by the lessee is computed. A numerical example and a sensitivity study are presented, and the obtained results are discussed.

Findings

The outcome of this work is supposed to help the lessors determining two key values to be included in each leasing contract, namely: (1) the periodicity according to which they will commit to perform preventive maintenance actions such that their average total cost of maintenance is minimized, (2) the minimum quantity of consumables that the lessee must commit to purchasing during the leasing period. This quantity must be between the break-even point and the maximum quantity associated with the capacity of the equipment.

Practical implications

Practically, the objective of this work is first to determine the optimal strategy to be adopted by the lessor in terms of effort relating to PM and second to determine the minimum quantity of consumables that the lessee must purchase during the leasing period such as profit is insured for the lessor.

Originality/value

This type of leasing (for free) has not been addressed in the literature particularly when considering maintenance strategies.

Details

Journal of Quality in Maintenance Engineering, vol. 29 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 15 February 2024

Wenbo Ma, Kai Li, Wei-Fong Pan and Xinjie Wang

The purpose of this paper is to construct an index for systemic risk in China.

Abstract

Purpose

The purpose of this paper is to construct an index for systemic risk in China.

Design/methodology/approach

This paper develops a systemic risk index for China (SRIC) using textual information from 26 leading newspapers in China. Our index measures the systematic risk from 21 topics relating to China’s economy and provides narratives of the sources of systemic risk.

Findings

SRIC effectively predicts changes in GDP, aggregate financing to the real economy and the purchasing managers’ index. Moreover, SRIC explains several other commonly used macroeconomic indicators. Our risk measure provides a helpful monitoring tool for policymakers to manage systemic risk.

Originality/value

The paper construct an index of systemic risk based on the information extracted from newspaper articles. This approach is new to the literature.

Details

China Finance Review International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-1398

Keywords

Article
Publication date: 5 April 2022

Yanting Huang, Sijia Liu and Yuqing Liang

This paper aims to explore the effect of fairness concerns on supply chain members' optimal decisions and profits, to compare their profits under different policies, and to…

Abstract

Purpose

This paper aims to explore the effect of fairness concerns on supply chain members' optimal decisions and profits, to compare their profits under different policies, and to investigate the impact of each policy on members, consumers, and the environment with fairness concerns.

Design/methodology/approach

Considering government policies and fairness concerns in recycling management, this paper develops five recycling and remanufacturing decision models (anarchy policy model, reward-penalty mechanism model, recycling investment subsidies model, government tax model, and fund subsidy system model). In each model, the manufacturer and the online platform form the Stackelberg game. This research further discusses comprehensive environmental benefits and consumer surplus under five scenarios.

Findings

First, the fairness concerns of the online platform inhibit the recovery rate and supply chain members' profit while increasing the platform's utility. Second, fairness concerns increase the profit gap between the manufacturer and online platform, and the higher the degree of fairness concerns, the greater the profit gap; however, the four policies reduce the profit gap. Finally, when there are fairness concerns, environmental taxes damage the interests of supply chain members and consumers, but are most beneficial to the environment; recycling investment subsidies are on the contrary; the fund subsidy system depends on the relative size of the treatment fund and the subsidy fund.

Originality/value

This paper provides useful insights on how to regulate government policy to improve supply chain management with fairness concerns.

Details

Kybernetes, vol. 52 no. 9
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 12 January 2024

Lipeng Pan, Yongqing Li, Xiao Fu and Chyi Lin Lee

This paper aims to explore the pathways of carbon transfer in 200 US corporations along with the motivations that drive such transfers. The particular focus is on each firm’s…

Abstract

Purpose

This paper aims to explore the pathways of carbon transfer in 200 US corporations along with the motivations that drive such transfers. The particular focus is on each firm’s embeddedness in the global value chain (GVC) and the influence of environmental law, operational costs and corporate social responsibility (CSR). The insights gleaned bridge a gap in the literature surrounding GVCs and corporate carbon transfer.

Design/methodology/approach

The methodology comprised a two-step research approach. First, the authors used a two-sided fixed regression to analyse the relationship between each firm’s embeddedness in the GVC and its carbon transfers. The sample consisted of 217 US firms. Next, the authors examined the influence of environmental law, operational costs and CSR on carbon transfers using a quantitative comparison analysis. These results were interpreted through the theoretical frameworks of the GVC and legitimacy theory.

Findings

The empirical results indicate positive relationships between carbon transfers and GVC embeddedness in terms of both a firm’s position and its degree. From the quantitative comparison, the authors find that the pressure of environmental law and operational costs motivate these transfers through the value chain. Furthermore, CSR does not help to mitigate transfers.

Practical implications

The findings offer insights for policymakers, industry and academia to understand that, with globalised production and greater value creation, transferring carbon to different parts of the GVC – largely to developing countries – will only become more common. The underdeveloped nature of environmental technology in these countries means that global emissions will likely rise instead of fall, further exacerbating global warming. Transferring carbon is not conducive to a sustainable global economy. Hence, firms should be closely regulated and given economic incentives to reduce emissions, not simply shunt them off to the developing world.

Social implications

Carbon transfer is a major obstacle to effectively reducing carbon emissions. The responsibilities of carbon transfer via GVCs are difficult to define despite firms being a major consideration in such transfers. Understanding how and why corporations engage in carbon transfers can facilitate global cooperation among communities. This knowledge could pave the way to establishing a global carbon transfer monitoring network aimed at preventing corporate carbon transfer and, instead, encouraging emissions reduction.

Originality/value

This study extends the literature by investigating carbon transfers and the GVC at the firm level. The authors used two-step research approach including panel data and quantitative comparison analysis to address this important question. The authors are the primary study to explore the motivation and pathways by which firms transfer carbon through the GVC.

Details

Sustainability Accounting, Management and Policy Journal, vol. 15 no. 2
Type: Research Article
ISSN: 2040-8021

Keywords

1 – 10 of over 2000