bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does the board diversity impact bank performance in the MENA countries? A multilevel study
Authors: Issa Ayman , Yousef Hesham , Bakry Ahmed , Hanaysha Jalal Rajeh , Sahyouni Ahmad 
Published: March 2021

PurposeThe purpose of this study is to examine the impact of board diversity (e.g. nationality, gender and educational level) on financial performance for a sample of banks listed in 11 countries in the Middle East and North Africa region.Design/methodology/approachThis paper uses the system generalized method of moments estimation approach on the data of banks listed in the MENA countries over the period 2011–2018 to investigate the relationship between board diversity and financial performance. Also, the findings are supported by additional robustness tests, including ordinary least squares, fixed and random effect techniques.FindingsThe empirical results show that there is a significant relationship between board diversity and financial performance in banks. Specifically, the findings demonstrate that board diversity related to nationality has a significant positive impact on bank performance. The findings also show an insignificant association between gender and educational level diversity and bank performance. The robustness analysis supports the findings of the baseline model.Practical implicationsThe study provides multi-country evidence on the importance of board diversity in the MENA region and it sheds light on possible tracks for future reforms aimed at enhancing the effectiveness of the board’s functions.Originality/valueThis paper extends the existing literature by providing empirical evidence on the association between board diversity and financial performance of banks in the MENA countries. This paper also provides preliminary evidence on the importance of board diversity to influence financial performance.
The effect of ESG on value creation from mergers and acquisitions. What changed during the COVID-19 pandemic?
Authors: Tampakoudis Ioannis , Noulas Athanasios , Kiosses Nikolaos , Drogalas George 
Published: March 2021

Purpose
The purpose of this study is to investigate the relationship between environmental, social and governance (ESG) performance and shareholder wealth in the context of mergers and acquisitions (M&As) before and during the coronavirus (COVID-19) pandemic.

Design/methodology/approach
This paper uses a sample of 889 completed M&As announced by US firms between 1 January 2018 and 31 July 2020. Announcement abnormal returns are estimated using an event study methodology and the relation of ESG performance to shareholder value creation is tested with univariate and multivariate cross-sectional regressions.

Findings
This study provides evidence for a significant negative value effect of ESG performance for the shareholders of acquiring firms during the entire sample period. The negative effect appears to be stronger, as the onset of the COVID-19 crisis. This suggests that, during the pandemic-driven economic turmoil, the costs of sustainability activities outweigh any possible gains, providing evidence in support of the overinvestment hypothesis.

Research limitations/implications
The results of the study have important implications for firms, investors and policymakers. Firms should be more cautious with regard to extensive investments in ESG activities, particularly during economic turmoil. For shareholders, the results suggest that ESG engagement is not a resilience factor in an exogenous shock such as the COVID-19 pandemic. In terms of policymaking, the sustainability disclosure framework should remain voluntary allowing firms to report material ESG-related issues. The main limitation of the study is related to data availability regarding ESG performance.

Originality/value
To the best of the knowledge, this is the first study that investigates the effect of ESG performance on shareholder value in the market for corporate control before and during the COVID-19 pandemic.
Reflecting on knowledge management as an enabler of innovation in project-based construction firms
Authors: Sergeeva Natalya , Duryan Meri 
Published: March 2021

Purpose
This paper aims to explore the ways innovation becomes enabled through knowledge management and sharing which has important implications for establishing and sustaining the culture of innovative thinking in project-based construction firms. This study adopts a reflective practitioner perspective to explore this relationship.

Design/methodology/approach
In total, 30 semi-structured interviews were conducted with the construction sector professionals whose roles are most relevant in the connection between innovation and knowledge management. Thematic analysis and cognitive mapping techniques were used to analyse the interview data.

Findings
The research findings indicate that due to the complexity of project-based construction firms, a more holistic approach to knowledge management and organisational learning at the firm level is required. This would enable a culture of continuous and coordinated knowledge flow that facilitates innovation and continuous improvement in project-based firms.

Practical implications
This paper has important implications for practising managers in project-based construction firms. By better understanding the ways organisational knowledge can be managed to become an enabler of innovation would allow to build and enhance firms’ innovative capabilities, individual and team competencies. There is a real need for innovation knowledge managers as formal job positions in the construction sector.

Originality/value
This study contributes to construction innovation and project management research and practice by providing insights into establishing and sustaining the culture of learning and innovative thinking.
Dynamic interaction of urban development and rural–urban migration: an application of integrated urban metabolism analysis tool (IUMAT) for sustainable city planning
Authors: Roy Neha Chhabra , Thangaraj Viswanathan 
Published: March 2021

Purpose
This study aims to gauge the effect of rural–urban migration and its challenges on the urban development of Bengaluru. This study examines the driving forces behind urbanization and its impact on social, economic and environment areas. The research helps to establish the sustainable city planning, after evaluation of specific challenges of zones, and this mitigation will optimize government investment and reduce cost.

Design/methodology/approach
Bengaluru is used as a study area to examine the interaction of migration and urban development. The study covers the period between 2011 and 2019. Panel data analysis is applied to measure the effect of urban development indicators on urban migration. The authors applied the integrated urban metabolism analysis tool to quantify the urban development indicators and identified the most critical areas for migrants. Later, authors proposed mitigation measures based on alternate scenario approach.

Findings
The authors found that there is a mixed effect of urban migration on urban development across various zones in Bengaluru. Besides, the authors suggest how planned collaboration should play a significant role in urban planning and optimize city planning judiciously. Effective mitigation measures should be developed based on zone-specific core issues, and practical trainings, research, public awareness campaigns and skill up-gradation of migrants would enhance the socio-economic and environmental conditions.

Research limitations/implications
The study will support the ongoing and upcoming initiatives launched by the Government of India i.e. Awas Yojna, Atmanirbhar Bharat and Swach Bharat.

Practical implications
The structured city planning suggested in the study will help to save wastage of resources and cost and time of developers and policymakers. This will also help to upgrade the status of migrants and enhance the ambience of city around social, economic and environment fronts.

Originality/value
The first of its kind of innovative model mapped in the study area establishes a link between strategic city planning under rural–urban migration and urban development.
M2R-Net: deep network for arbitrary oriented vehicle detection in MiniSAR images
Authors: Han Zishuo , Wang Chunping , Fu Qiang 
Published: March 2021

Purpose
The purpose of this paper is to use the most popular deep learning algorithm to complete the vehicle detection in the urban area of MiniSAR image, and provide reliable means for ground monitoring.

Design/methodology/approach
An accurate detector called the rotation region-based convolution neural networks (CNN) with multilayer fusion and multidimensional attention (M2R-Net) is proposed in this paper. Specifically, M2R-Net adopts the multilayer feature fusion strategy to extract feature maps with more extensive information. Next, the authors implement the multidimensional attention network to highlight target areas. Furthermore, a novel balanced sampling strategy for hard and easy positive-negative samples and a global balanced loss function are applied to deal with spatial imbalance and objective imbalance. Finally, rotation anchors are used to predict and calibrate the minimum circumscribed rectangle of vehicles.

Findings
By analyzing many groups of experiments, the validity and universality of the proposed model are verified. More importantly, comparisons with SSD, LRTDet, RFCN, DFPN, CMF-RCNN, R3Det, SCRDet demonstrate that M2R-Net has state-of-the-art detection performance.

Research limitations/implications
The progress in the field of MiniSAR application has been slow due to strong speckle noise, phase error, complex environments and a low signal-to-noise ratio. In addition, four kinds of imbalances, i.e. spatial imbalance, scale imbalance, class imbalance and objective imbalance, in object detection based on the CNN greatly inhibit the optimization of detection performance.

Originality/value
This research can not only enrich the means of daily traffic monitoring but also be used for enemy intelligence reconnaissance in wartime.
Exploring the relationship between failure factors and stakeholder coordination performance in high-rise building projects: empirical study in the finishing phase
Authors: Do Sy Tien , Nguyen Viet Thanh , Dang Chau Ngoc 
Published: March 2021

PurposeThis study aims to discover the impact of failure factors on stakeholder coordination performance (SCP) in the finishing phase of high-rise building projects.Design/methodology/approachFirstly, this study identifies potential failure factors affecting coordination performance as well as criteria for measuring SCP in the finishing phase of high-rise building projects. Afterwards, a survey questionnaire is designed to collect data from high-rise building projects in Vietnam. Using the factor analysis method, the study discovers the failure constructs. A structural equation model is then built to uncover the relationships between failure constructs and SCP.FindingsThe study identified four failure constructs which could significantly affect SCP, namely traditional adversarial relationship (TAR), incompetent parties (IP), poor project planning and organization (PPO) and delays of parties toward construction works (DP). The developed model indicated that TAR, PPO and IP significantly affected stakeholders' coordination performance in the finishing phase of high-rise building projects.Originality/valueThe results of the study fill the gap in knowledge by discovering the causal relationships between failure constructs and SCP in high-rise building projects. The results might provide an initial guideline for stakeholders during the finishing phase of high-rise building projects to enhance their coordination performance.
Multi-phase lattice Boltzmann (LB) simulation for convective transport of nanofluids in porous structures with phase interactions
Authors: Xing Z.B. , Han Xingchao , Ke Hanbing , Zhang Q.G. , Zhang Zhiping , Xu Huijin , Wang Fuqiang 
Published: March 2021

Purpose
A combination of highly conductive porous media and nanofluids is an efficient way for improving thermal performance of relevant applications. For precisely predicting the flow and thermal transport of nanofluids in porous media, the purpose of this paper is to explore the inter-phase coupling numerical methods.

Design/methodology/approach
Based on the lattice Boltzmann (LB) method, this study combines the convective flow, non-equilibrium thermal transport and phase interactions of nanofluids in porous matrix and proposes a new multi-phase LB model. The micro-scale momentum and heat interactions are especially analyzed for nanoparticles, base fluid and solid matrix. A set of three-phase LB equations for the flow/thermal coupling of base fluid, nanoparticles and solid matrix is established.

Findings
Distributions of nanoparticles, velocities for nanoparticles and the base fluid, temperatures for three phases and interaction forces are analyzed in detail. Influences of parameters on the nanofluid convection in the porous matrix are examined. Thermal resistance of nanofluid convective transport in porous structures are comprehensively discussed with the models of multi-phases. Results show that the Rayleigh number and the Darcy number have significant influences on the convective characteristics. The result with the three-phase model is mildly larger than that with the local thermal non-equilibrium model.

Originality/value
This paper first creates the multi-phase theoretical model for the complex coupling process of nanofluids in porous structures, which is useful for researchers and technicians in fields of thermal science and computational fluid dynamics.
Reaction of users as potential victims of information security breach
Authors: Janjarasjit Suparak , Chan Siew H. 
Published: March 2021

Purpose
The purpose of this study is to examine whether users’ perceived moral affect explains the effect of perceived intensity of emotional distress on responsibility judgment of a perpetrator and company, respectively, in an ill and good intention breach.

Design/methodology/approach
Participants completed a questionnaire containing items measuring their perceived intensity of emotional distress, perceived moral affect and responsibility judgment of a perpetrator and company, respectively.

Findings
The results support the mediating hypothesis on responsibility judgment of a perpetrator regardless of intention. The mediating hypothesis is also supported in an ill intention breach in responsibility judgment of a company. However, the mediating effect is not observed in a good intention breach when users assess a company’s responsibility.

Originality/value
The findings support the notion that users use the consequentialism approach when assessing a perpetrator’s responsibility because they focus on the victims’ emotional distress and discount a perpetrator’s intent, resulting in similar mediating effect of perceived moral affect in an ill and good intention breach. The results also indicate that perceived moral affect increases the negative effect of perceived intensity of emotional distress on responsibility judgment of a company, suggesting that users may exhibit empathetic feelings toward a company and perceive it as a victim of an ill intention breach. The lack of mediating effect in responsibility judgment of a company in a good intention breach may be attributed to the diminished effect of a perpetrator’s feelings of regret, sorrow, guilt and shame for causing emotional distress to the victims.
Toward travel pattern aware tourism region planning: a big data approach
Authors: Han Qiwei , Abreu Novais Margarida , Zejnilovic Leid 
Published: March 2021

PurposeThe purpose of this paper is to propose and demonstrate how Tourism2vec, an adaptation of a natural language processing technique Word2vec, can serve as a tool to investigate tourism spatio-temporal behavior and quantifying tourism dynamics.Design/methodology/approachTourism2vec, the proposed destination-tourist embedding model that learns from tourist spatio-temporal behavior is introduced, assessed and applied. Mobile positioning data from international tourists visiting Tuscany are used to construct travel itineraries, which are subsequently analyzed by applying the proposed algorithm. Locations and tourist types are then clustered according to travel patterns.FindingsMunicipalities that are similar in terms of their scores of their neural embeddings tend to have a greater number of attractions than those geographically close. Moreover, clusters of municipalities obtained from the K-means algorithm do not entirely align with the provincial administrative segmentation.
An intelligent framework for analyzing supply chain resilience of firms in China: a hybrid multicriteria approach
Authors: Zhang Zuopeng (Justin) , Srivastava Praveen Ranjan , Eachempati Prajwal , Yu Yubing 
Published: March 2021

PurposeThe paper aims to identify the most supply chain resilient company suitable for the customized preferences of partner firms in the context of the Chinese supply chain framework during the COVID-19 pandemic.Design/methodology/approachA hybrid multicriteria model, i.e. Fuzzy Analytical Hierarchy Process (AHP), was used to assign weights to each criterion, which was subsequently analyzed by three approaches, namely Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory), and Evaluation Based on Distance from Average Solution (EDA), to rank the top ten companies in descending order of supply chain resilience. Further, sensitivity analysis is performed to identify the consistency in ranking with variation in weights. The rankings are validated by a novel Ensemble Ranking algorithm and by supply chain domain experts.FindingsThe rankings suggest the company “China Energy Construction Group Tianjin Electric Power Construction Co., Ltd” is the most feasible and resilient company, presenting interesting findings to partner firms, and Bosch is the least reliable supply chain company of the ten firms considered, thus presenting interesting findings to partner companies.Practical implications“Crisis Management Beforehand” is most critical in the current pandemic scenario. This implies that companies need to first prioritize taking proactive steps in crisis management followed by the need to minimize the “Expected impact of pandemic.” Performance factors also need to be regulated (sales, supply chain rank and financial performance) to maintain the company's overall reputation. Considering the consistent performance of the China Energy Construction Group Tianjin Electric Power Construction Co., Ltd., it is recommended as the most reliable supply chain firm to forge strategic partnerships with other supply chain stakeholders like suppliers and customers. On the other hand, Bosch is not recommended as a supply chain reliable company and needs to improve its crisis management capabilities to minimize the pandemic impact.Originality/valueThe paper aims to identify the most supply chain resilient company suitable for the customized preferences of partner firms in the context of the Chinese supply chain framework during the COVID-19 pandemic. The rankings suggest the company “China Energy Construction Group Tianjin Electric Power Construction Co., Ltd” is the most feasible and resilient company, presenting interesting findings to partner firms, and Bosch is the least reliable supply chain company of the ten firms considered, thus presenting interesting findings to partner companies.
Investigation and modeling of lean six sigma barriers in small and medium-sized industries using hybrid ISM-SEM approach
Authors: Singh Mahipal , Rathi Rajeev 
Published: March 2021

Purpose
Lean six sigma (LSS) has attained a prominent position in mature organizations but small- and medium-sized enterprises (SMEs) are struggling in the proper implementation of LSS in their core business. This study aims to make a comprehensive analysis of LSS implementation barriers in SMEs so that LSS execution can be much fluent in SMEs.

Design/methodology/approach
This research work is carried out based on investigation of LSS barriers through extensive literature review. For validating the identified barriers, a questionnaire survey was conducted, and out of 400 samples, 260 responses received back. The collected responses are analyzed statistically and found 16 significant barriers. The finalized barriers are modeled using interpretive structural modeling (ISM) and clustered them through matrice d’impacts croisés-multiplication appliquée a un classement (MICMAC) analysis. Furthermore, to check the consistency of results, ISM-MICMAC outcomes are validated through structural equation modeling (SEM).

Findings
The result reveals that 16 LSS implementation barriers are finalized through expert’s opinion and validated through statistical reliability test with Cronbach’s alpha value of 0.820. The ISM model reveals that the management relevant barriers are exhibiting the leading role to influence the implementation of LSS in SMEs. Moreover, the obtained results validated through SEM are found in good agreement.

Research limitations/implications
During pairwise comparisons, there may be some prejudice and subjectivity as human judgments are engaged.

Practical implications
This study provides impetus to practitioners and consultant for the initiation of LSS in the business organization through tackling the LSS barriers as per their driving and dependence power.

Originality/value
In the past, limited studies had explored the LSS barriers, but a few studies analyzed the mutual relationship between barriers. No such study is reported in literature that validates the mutual interaction model of LSS barriers. Hence, this paper presents the original research work of identification and modeling of barriers associated with LSS implementation in SMEs through hybrid ISM-SEM approach.
The effect of preload force on damping in tendon-driven manipulator
Authors: Zhang Yudong , He Leiying , Wu Chuanyu 
Published: March 2021

Purpose
The purpose of this paper is to study the preload range of tendon-driven manipulator and the relationship between preload and damping. The flexible joint manipulator (FJM) with joint flexibility is safer than traditional rigid manipulators. A FJM having an elastic tendon is called an elastic tendon-driven manipulator (ETDM) and has the advantages of being driven by a cable and having a more flexible joint. However, the elastic tendon introduces greater residual vibration, which makes the control of the manipulator more difficult. Accurate dynamic modeling is effective in solving this problem.

Design/methodology/approach
The present paper derives the relationship between the preload of the ETDM and the friction moment through the analysis of the forces of cables and pulleys. A dynamic model dominated by Coulomb damping is established.

Findings
The linear relationship between a decrease in the damping moment of the system and an increase in the ETDM preload is verified by mechanics analysis and experiment, and a curve of the relationship is obtained. This study provides a reference for the selection of ETDM preload.

Originality/value
The method to identify ETDM damping by vibration attenuation experiments is proposed, which is helpful to obtain a more accurate dynamic model of the system and to achieve accurate control and residual vibration suppression of ETDM.