bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of structural response using convolutional neural network: application to the Suramadu bridge
Authors: Pamuncak Arya Panji , Salami Mohammad Reza , Adha Augusta , Budiono Bambang , Laory Irwanda 
Published: May 2021

PurposeStructural health monitoring (SHM) has gained significant attention due to its capability in providing support for efficient and optimal bridge maintenance activities. However, despite the promising potential, the effectiveness of SHM system might be hindered by unprecedented factors that impact the continuity of data collection. This research presents a framework utilising convolutional neural network (CNN) for estimating structural response using environmental variations.Design/methodology/approachThe CNN framework is validated using monitoring data from the Suramadu bridge monitoring system. Pre-processing is performed to transform the data into data frames, each containing a sequence of data. The data frames are divided into training, validation and testing sets. Both the training and validation sets are employed to train the CNN models while the testing set is utilised for evaluation by calculating error metrics such as mean absolute error (MAE), mean absolute percentage error (MAPE) and root mean square error (RMSE). Comparison with other machine learning approaches is performed to investigate the effectiveness of the CNN framework.FindingsThe CNN models are able to learn the trend of cable force sensor measurements with the ranges of MAE between 10.23 kN and 19.82 kN, MAPE between 0.434% and 0.536% and RMSE between 13.38 kN and 25.32 kN. In addition, the investigation discovers that the CNN-based model manages to outperform other machine learning models.Originality/valueThis work investigates, for the first time, how cable stress can be estimated using temperature variations. The study presents the first application of 1-D CNN regressor on data collected from a full-scale bridge. This work also evaluates the comparison between CNN regressor and other techniques, such as artificial neutral network (ANN) and linear regression, in estimating bridge cable stress, which has not been performed previously.
Identifying an unknown potential term in the fourth-order Boussinesq–Love equation from mass measurement
Authors: Huntul M.J. , Tamsir Mohammad 
Published: May 2021

PurposeThe inverse problem of identifying the time-dependent potential coefficient along with the temperature in the fourth-order Boussinesq–Love equation (BLE) with initial and boundary conditions supplemented by mass measurement is, for the first time, numerically investigated. From the literature, the authors already know that this inverse problem has a unique solution. However, the problem is still ill-posed by being unstable to noise in the input data.Design/methodology/approachFor the numerical discretization, the authors apply the Crank–Nicolson finite difference method along with the Tikhonov regularization for finding a stable and accurate approximate solution. The resulting nonlinear minimization problem is solved using the MATLAB routine lsqnonlin. Both exact and numerically simulated noisy input data are inverted.FindingsThe present computational results demonstrate that obtained solutions are stable and accurate.Originality/valueThe inverse problem presented in this paper was already showed to be locally uniquely solvable, but no numerical identification has been studied yet. Therefore, the main aim of the present work is to undertake the numerical realization. The von Neumann stability analysis is also discussed.
On the relation between the crude oil market and pandemic Covid-19
Authors: Shaikh Imlak 
Published: May 2021

PurposeThe crude oil market has experienced an unprecedented overreaction in the first half of the pandemic year 2020. This study aims to show the performance of the global crude oil market amid Covid-19 and spillover relations with other asset classes.Design/methodology/approachThe authors employ various pandemic outbreak indicators to show the overreaction of the crude oil market due to Covid-19 infection. The analysis also presents market connectedness and spillover relations between the crude oil market and other asset classes.FindingsOne of the essential findings the authors report is that the crude oil market remains more responsive to pandemic fake news. The shock of the global pandemic panic index and pandemic sentiment index appears to be more promising. It has also been noticed that the energy trader's sentiment (OVX and OIV) was measured at a too high level within the Covid-19 outbreak. Volatility spillover analysis shows that crude oil and other market are closely connected, and the total connectedness index directs on average 35% contribution from spillover. During the initial growth of the infection, other macroeconomic and political events remained to favor the market. The second phase amidst the pandemic outbreak harms the global crude oil market. The authors find that infectious diseases increase investor panic and anxiety.Practical implicationsThe crude oil investors' sentiment index OVX indicates fear and panic due to infectious diseases and lack of hedge funds to protect energy investments. The unparalleled overreaction of the investors gauged in OVX indicates market participants have paid an excessive put option (protection) premium over the contagious outbreak of the infectious disease.Originality/valueThe empirical model and result reported amid Covid-19 are novel in terms of employing a news-based index of the pandemic, which are based on the content analysis and text search using natural processing language with the aid of computer algorithms.
The firm growth-cash flow sensitivity: do financial constraints matter?
Authors: Rashid Abdul , Hersi Mahir Ahmed 
Published: May 2021

PurposeThe paper examines the differential effect of liquidity constraints on corporate growth using unbalanced panel data for 457 Pakistani firms over the period 2010–2017.Design/methodology/approachThe study uses the probability of a financial unconstrained index constructed by estimating the endogenous regression model. This approach provides a time-varying measure of financial position for all firm-year observations and takes into account the different degrees of liquidity constraints that a company faces in attaining funds from external markets. It is derived from a multivariate selection equation that simultaneously accounts for all-important features of the underlying company identified in the literature. The cash flow variable has then interacted with various groups of dummy variables for financial constraint, which allows the coefficient of cash flow to vary across firm-year observations in the different liquidity constraint categories. The two-step system-GMM estimator is applied to estimate the main empirical model.FindingsThe results of the study provide evidence of the heterogeneity in firms' growth sensitivity to internal funds, depending on the degree of liquidity constraints. Financing growth through internal funds is found to be essential for both liquidity unconstrained and constrained corporates. However, it is observed that the coefficient of cash flow is greater for firms that do not have access to external financing and it eventually decreases with reductions in the magnitude of liquidity constraints, making the least constrained corporates' growth less responsive to internal funds. The results further indicate that smaller and younger firms show higher responsiveness of growth to internal funds. This finding is mainly attributed to financial market imperfections that make external funding difficult for them.Practical implicationsThe results suggest that financially constrained firms should expand their corporate size more than the magnitude of positive income shocks they encounter. The study also suggests important policy implications for liquidity-constrained firms to carefully concentrate on their financing strategies to enhance their growth. By improving the corporate's capacity for production, corporates can achieve a faster effect of a potential positive income shock on their growth.Originality/valueThis paper contributes to the literature by constructing a financial constraint index by running the endogenous regression model. It also contributes by investigating the differential impact of credit constraints on firms' growth in Pakistan and how corporate size and age affect firm growth when financial constraints and investment opportunities are controlled.
Credit risk in dual banking systems: does competition matter? Empirical evidence
Authors: Ali Mohsin , Khattak Mudeer Ahmed , Alam Nafis 
Published: May 2021

PurposeThe study of credit risk has been of the utmost importance when it comes to measuring the soundness and stability of the banking system. Due to the growing importance of Islamic banking system, a fierce competition between Islamic and conventional banks have started to emerge which in turn is impacting credit riskiness of both banking system.Design/methodology/approachUsing the system GMM technique on 283 conventional banks and 60 Islamic banks for the period of 2006–2017, this paper explores the important impact of size and competition on the credit risk in 15 dual banking economies.FindingsThe authors found that as bank competition increases credit risk seems to be reduced. On the size effect, the authors found that big Islamic banks are less risky than big conventional banks whereas small Islamic banks are riskier than small conventional banks. The results are robust for different panel data estimation models and sub-samples of different size groups. The findings of this paper provide important insights into the competition-credit risk nexus in the dual banking system.Originality/valueThe paper is specifically focused on credit risk in dual banking environment and tries to fill the gap in the literature by studying (1) do the Islamic and conventional banks exhibit a different level of credit risk; (2) does competition in the banking system impact the credit risk of Islamic and conventional banks and finally (3) do the big and small banks exhibit similar levels of credit risk.
How does ownership by corporate managers affect R&D in the UK? The moderating impact of institutional investors
Authors: Hassanein Ahmed , Marzouk Mahmoud , Azzam Mohsen Ebied A.Y. 
Published: May 2021

PurposeThis paper tests for a positive, a negative and a nonlinear relationship between the share of ownership controlled by firm managers and the management decision to invest in research and development (R&D). Likewise, it examines whether or not institutional investors induce corporate managers with ownership stakes to spend on R&D.Design/methodology/approachIt examines a sample of the United Kingdom (UK) Financial Times Stock Exchange (FTSE) all-shares firms over a longitudinal period from 2009 to 2018. The R&D is measured by the natural logarithm of a firm's R&D spending and a firm's R&D expenditure scaled by its total assets at the end of the year. The results are estimated using the year/industry fixed effects as well as the firm fixed effects.FindingsThe results show a positive effect on R&D spending at a lower level of managerial ownership, and a negative impact at a higher managerial ownership level. The findings jointly suggest an inverse U-shaped nonlinear relationship between ownership by firm managers and management decisions on R&D spending. The results also demonstrate that the effect of institutional investors' ownership on R&D spending decisions is observable only at a lower level of managerial ownership and disappears at a higher level.Practical implicationsThe results shed the light on the role of managerial ownership in promoting firm innovation. They suggest an optimal level of equity ownership by corporate managers that maximizes R&D spending, implying that firms can effectively manage their R&D spending by restructuring their managerial ownership to maintain an appropriate level of managerial ownership to align managerial interests with shareholder interests by either increasing it to the optimal level or decreasing it when it becomes above this level. The findings also support the limited degree of monitoring and the long-term perspective offered by institutional investors in the UKOriginality/valueThe study provides new evidence on the non-monotonic effect of the share of ownership controlled by firm managers on R&D spending decisions. It also expands the growing body of literature and contributes to the debate on the effectiveness of institutional investors in the UK.
Combinatorial analysis of eco-innovation drivers in slaughterhouses
Authors: Pacheco Dias Marcelo Fernandes , Souza Braga Juliany 
Published: May 2021

Purpose
Literature on eco-innovation brings insights that help to understand which factors trigger innovation focused on sustainability in companies. However, when analyzing the studies that comprise such drivers, it appears that most of them were focused only on describing them in isolation. Therefore, this study aims to understand which are the combinations of drivers that favor the adoption of eco-innovation in slaughterhouses located in the Brazilian state of Rio Grande do Sul.

Design/methodology/approach
This study has used the crisp-set qualitative comparative analysis (csQCA) as the data analysis technique, in addition to the previous application of Most Similar Different Outcome/Most Different Same Outcome (MSDO/MDSO).

Findings
This study identified eight internal and external drivers that explain the differences in performance of eco-innovative and non-innovative slaughterhouses. These drivers generate 13 combinations of factors capable of favoring the adoption of five types of eco-innovation.

Research limitations/implications
A limitation identified was the difficulty to obtain information held by companies on environmental issues. In addition, in each company the authors only approached one respondent.

Practical implications
The use of combinations is identified by companies and governmental and non-governmental organizations to promote eco-innovation in slaughterhouses.

Originality/value
This study may be considered original for its contribution to the improvement of eco-innovation literature by describing how the drivers identified combine to favor the adoption of certain types of eco-innovation. In addition, the authors also made an original use of csQCA, linked with MSDO/MDSO, in the field of eco-innovation.
Audit committee disclosure tone and earnings management
Authors: Al-Shaer Habiba , Zaman Mahbub 
Published: May 2021

PurposeThis paper examines the effect of audit committee (AC) reporting, measured by the tone of audit committee disclosures, in improving financial reporting quality as proxied by earnings management.Design/methodology/approachThe authors focus on the textual properties of AC reports, particularly the tone of AC disclosure, and their impact on financial reporting quality proxied using real and accruals-based earnings management. For additional analysis, the authors use a financial reporting index and matched sample. The analysis is based on a sample of UK FTSE 350 firms.FindingsThe analysis suggests that AC reports are not boilerplate but varied in language. The authors find AC reporting is negatively associated with both real and accruals-based earnings management. In our additional tests, the authors find a positive association between financial reporting quality index and reporting tone.Research limitations/implicationsOverall, this paper provides baseline evidence for future research and policy making and reveals that ACs reporting what they have done increases transparency and impacts on reporting quality.Practical implicationsOverall, this paper suggests that the tone of AC reports seems to convey information that affects the communication function of AC reporting and thereby helps to improve reporting quality.Originality/valueThough the importance of AC disclosures in improving reporting quality is well recognised in policy guidelines and governance recommendations, no study has employed computer-based textual analysis of AC reports and investigated the effect of AC disclosure tone and the role it can play in achieving higher reporting quality.
A systematic review of construction workers’ health and safety research in India
Authors: Chellappa Vigneshkumar , Srivastava Vasundhara , Salve Urmi Ravindra 
Published: May 2021

PurposeConstruction workers’ health and safety (CWHS) research in India has not gained much attention among researchers. This study aims to review articles related to CWHS research in India using a science mapping approach.Design/methodology/approachA total number of 64 journal articles published between 2004 and 2019 were extracted from the Scopus database using keywords including “construction safety,” “occupational health,” “ergonomics in construction,” etc. VOSviewer software was used to examine the influential keywords, documents, sources and authors in the field of CWHS.FindingsThe study found that most of the current work focuses on safety management, safety climate, safety performance, musculoskeletal disorders and behavior-based safety. The result indicates no theoretical basis for the theories and learning methods for the existing studies.Practical implicationsThe findings open up a research gap that researchers explore to enhance workers’ health and safety within the Indian construction environment.Originality/valueThe paper is the first article to provide a better understanding of current research in the field of CWHS in India by analyzing its growth through the science mapping approach.
Production pressures in the building sector of the construction industry: a systematic review of literature
Authors: Neale Jack , Gurmu Argaw 
Published: May 2021

Purpose
The building sector of the construction industry incorporates a precipitous and volatile nature with poor safety conditions being prevalent, owing to its inability to determine an appropriate trade-off between productivity and safety. This disproportionate trade-off produces production pressures, which contribute poorly to construction performance, by encouraging workers to prioritise their working productivity ahead of safety. The purpose of this study is to investigate the impacts of production pressures in the building sector and propose mitigation strategies accordingly.

Design/methodology/approach
A systematic review of literature was conducted, and secondary data were extracted from peer-reviewed journal papers. The data was then analysed to achieve the objectives of this study.

Findings
The main causes of production pressures are tight construction schedules, ineffective management and construction rework. Furthermore, the negative effects of production pressures are increased levels of stress in employees, reduced craftsmanship, encouraging accident-prone environments and decreasing employee’s safety behaviour. Effective mitigation strategies in relation to scheduling, leadership, communication and motivation were proposed. Finally, a causal loop diagram of production pressures in the building sector was developed.

Originality/value
This research will assist in creating a safer working environment within the building sector, by providing useful information regarding the severity of production pressures and suggesting mitigation strategies that can be implemented in the construction projects.
Demographic changes and savings behavior: the experience of a developing country
Authors: Rezaei Ebrahim 
Published: May 2021

PurposeThis paper aims to disclose the savings behavior of Iran's economy in the context of demographic transition.Design/methodology/approachEmploying a version of Ramsey-Cass-Koopmans growth model, this paper benefits from a broad range of data and variables which are mainly taken from the Central Bank of Iran's database. The study uses actual and calculated data to produce analogous simulated data. The data cover the 1970–2015 period. This long period provides an opportunity to simulate more valid time series. It is worth noting that due to the severe economic sanctions imposed on the Iran's economy, particularly after 2017, some most recent data have been obliterated from the sample.FindingsThe results, stemming from the simulated model, hint that; firstly, the population variable is a notable determinant of the savings rate. Secondly, the effects of a slump in the population growth rate would attenuate the savings level significantly. Thirdly, other pragmatic steps could be taken to redress the fallout of the demographic changes.Research limitations/implicationsThere are some limitations in providing broad data related to economic sectors in Iran. The savings data, for instance, are available as an aggregated time series, and if the authors had wide data of household level, they would have been able to build more detail-based model. Similar to this issue of lack of households’ income-based data, some measures such as high or low levels as well as detailed demographic data could be helpful in sophisticated household level resulting. In addition, the complex relationship between the government and social security (pension) funds, in terms of financing part of government's budget deficit by these funds, thwarts a typical researcher in using comprehensive and transparent government expenditure data in their research. In other words, the possible positive or negative role of the funds, as a related issue to the demographic changes, cannot simply be determined in the model. It might be possible after necessary corrections are carried out in the mentioned relations.Originality/valueIn fact, the problem statement in this paper is to discern how the population aging can impact the saving rates on the one hand, and to what extent its repercussion can be modified by the other theoretical-based determinants on the other. In fact, the underlying argument of the present research arises from the stylized facts concerning prognosticates of the future evolutions of the world's population. To that end, the study will use Iran's economic and demographic data.
Imported feminism: problematizing the Westernized image of the feminist in Arab social media
Authors: Magdy Ramy , Mikhael Maries , G. Hussein Yassmine 
Published: May 2021

Purpose
This paper aims to analyze the discourse of Arab feminism social media pages as a form of real-time new media. This is to be conducted culturally to understand the Westernized character these pages tend to propagate and the politico-cultural significations of such a propagation.

Design/methodology/approach
Using visual and content analysis the paper analyzes both the written and visual contents of two popular Arab feminist Facebook pages, “Thory” and “Feminist doodles” to explore its culture relevance/Westernization via the categories of “re-employing the binary second wave feminism, the historical relevance and the Westernized tone of both pages.

Findings
The pages showed a tendency toward second wave, Westernized, anti-orient feminism. Such importation of feminism made the pages’ message not only a bit irrelevant but also conceptually violent to a large extent. Starting from alien contexts, the two pages dislocate the Arab women experiences of their situation for the sake of comprehending and adapting to heavily Westernized images.

Originality/value
The paper contributes to the ongoing debate over the gender issue in the Arab context after 2011, what it originally offers is discussing the cultural relevance of popular feminist Facebook pages claiming to represent the everyday struggles of the Arab women. In addition, it shows the impact of real-time media on identity formulation.