bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gender differences in job dissatisfaction in a developing country
Authors: Monte Paulo Aguiar do 
Published: May 2019

PurposeThe purpose of this paper is to investigate the relationship between job dissatisfaction and gender using an objective behavioural measure variable for dissatisfaction.Design/methodology/approachA monthly household panel structure was drawn from the Brazilian labour market, and a variety of econometric methodologies was applied.FindingsThis finding contradicts most articles published on the subject and corroborates the theoretical argument that women tend to be more risk-averse than men in the rates of labour turnover.Research limitations/implicationsThere are no sample surveys to address issue directly, thereby restricting the analyses to an individual study case. The concept of relative dissatisfaction is adopted, which can lead to either underestimation or overestimation, although this possibility has not been proven according to the sensitivity analysis applied.Originality/valueThe paper contributes to the literature by carrying out the first empirical analysis on the relationship between job satisfaction and gender using a categorial variable, which minimises the bias of subjectivity (psychological factors) since it is associated with employees’ attitude (what they do) rather than their opinion (what they say) about job dissatisfaction. The paper uses appropriate econometric methods to measure job dissatisfaction. The results differ from most published articles on the subject.
A welding seam identification method based on cross-modal perception
Authors: Li Xinde , Li Pei , Khyam Mohammad Omar , He Xiangheng , Ge Shuzhi Sam 
Published: May 2019

Purpose
As an automatic welding process may experience some disturbances caused by, for example, splashes and/or welding fumes, misalignments/poor positioning, thermally induced deformations, strong arc lights and diversified welding joints/grooves, precisely identifying the welding seam has a great influence on the welding quality. This paper aims to propose a robust method for identifying this seam based on cross-modal perception.

Design/methodology/approach
First, after a welding image obtained from a structured-light vision sensor (here laser and vision are integrated into a cross-modal perception sensor) is filtered, in a sufficiently small area, the extended Kalman filter is used to prevent possible disturbances to search for its laser stripe. Second, to realize the extraction of the profile of welding seam, the least square method is used to fit a sequence of centroids determined by the scanning result of columns displayed on the tracking window. Third, this profile is then qualitatively described and matched using a proposed character string method.

Findings
It is demonstrated that it maintains real time and is clearly superior in terms of accuracy and robustness, though its real-time performance is not the best.

Originality/value
This paper proposes a robust method for automatically identifying and tracking a welding seam.
The role of audit committee attributes in corporate sustainability reporting
Authors: Buallay Amina , Al-Ajmi Jasim 
Published: May 2019

PurposeThe purpose of this paper is to analyze the extent to which sustainability reporting by banks in the Gulf Cooperation Council (GCC) is affected by the attributes of audit committees.Design/methodology/approachThe research is positivist and quantitative, based on a cross-sectional and time series analysis of 59 banks from 2013 to 2017. A multivariate model is used to investigate the impact of selected audit committee attributes (financial expertise, size, members’ independence and meeting frequency) on sustainability reporting. The model is built on agency, legitimacy, resources and stakeholders theories.FindingsIn contrast to the hypothesis, the authors report a negative association between financial expertise and sustainability reporting. Members’ independence and meeting frequency play a positive role in determining the extent of disclosure. The control variables (bank size, age and auditor type) are positively associated with corporate sustainability reporting.Research limitations/implicationsThe main limitations of this study are related to the chosen attributes of audit committee and do not consider the board’s attributes. However, the authors believe these limitations do not affect the findings. Future research that includes more attributes when they became available will offer more insights into the role of audit committees on sustainability disclosure of financial institutions. Overcoming these limitations may make the results more generalizable.Practical implicationsThe results of this study have important implications for regulators, bank management, investors and creditors. For regulators, in the countries of the GCC and in countries like them, the findings reveal the importance of disclosure requirements. The development of disclosure requirements is likely to improve corporate sustainability reporting and reduce variations in the extent of disclosure among banks. Banks could use these results to improve their reporting to outsiders. For creditors and investors, the study improves their awareness of the importance of corporate social responsibility, corporate governance and environmental information on credit and investment decisions and encourages banks to improve their disclosures of non-financial information.Originality/valueThis research makes a contribution to the scarce literature on sustainability reporting by banks, especially in an environment where capital markets lack active institutional investors, where regulators play the dominant role in determining the extent of disclosure and where banks are the main source of external finance for the corporate sector.
The role of district leaders for organization social capital
Authors: Hooge Edith H. , Moolenaar Nienke M. , van Look Karin C.J. , Janssen Selma K. , Sleegers Peter J.C. 
Published: May 2019

PurposeAlthough it is assumed that school district governance by districts leaders can impact schools’ capacity to improvement and educational quality, there is little systematic evidence to support this claim. The purpose of this paper is to discuss how governance goals and interventions affect school districts’ social capital.Design/methodology/approachThe empirical enquiry used quantitative data on district leaders enacting governance as perceived by their school principals. These data were collected among 399 school principals of 23 Dutch school districts in elementary education, using a survey. Social network data on social capital within school districts were collected using a social network survey among educational administrators (i.e. district leaders, central office administrators and school principals). Additionally, examples of the relation between school district social capital and governance at six school districts were described.FindingsResults suggest that district leaders can promote the organizational social capital of their school districts through focusing on educational goals. In addition, the findings show that they can reinforce their impact by using interventions varying in coercion level, of which offering support to school principals appears to be “a golden button” to make organizational social capital thrive.Research limitations/implicationsLimitations to the study are the generalizability of the findings (they can be questioned because “convenience sampling” was used) and warrant a longitudinal design to examine how organization social capital develops over time.Originality/valueThe study is unique as it addresses the impact district leaders may have on their districts’ social capital by focusing on social network approach in the study of school district governance.
Principal support of student psychological needs and a functional instructional core
Authors: Adams Curt M. , Olsen Jentre J. 
Published: May 2019

Purpose
Limited attention to messages transmitted between principals and teachers led to the general question for this study: is principal support of student psychological needs related to functional social conditions within the instructional core? Therefore, the purpose of this paper is to define principal support of student psychological needs and explain its leadership function through the lens of conversation theory. Without much empirical evidence to draw from, a theoretical argument for how principal support of student psychological needs might influence the features of the teaching and learning environment is advanced then tested empirically.

Design/methodology/approach
Hypotheses were tested using a non-experimental, correlational research design based on ex-post facto data collected from teachers and students in 93 schools in a metropolitan city of the USA. Data were collected in the spring of 2017 from randomly sampled teachers and students in the 93 schools. Usable responses were received from 1,168 teachers, yielding a response rate of 66 percent. A total of 4,523 students received surveys and usable responses were received from 3,301, yielding a response rate of 73 percent. Multi-level modeling was used to analyze the data.

Findings
Principal support of student psychological needs was related to school-level differences in faculty trust in students, collective teacher efficacy and student perceived autonomy support. Leadership practices surrounding professional development and instructional coherence had moderately strong, positive relationships with the outcome variables; however, the strength of these relationships diminished when principal support was included in the analysis.

Originality/value
The argument in this study proposes that principal–teacher conversations enhance leadership practices and support a vibrant and engaging instructional core when intentional messages build mental representations that enable teachers to understand sources of optimal student growth. Such use of conversation extends the functionality of principal–teacher interactions beyond that of teacher control and toward an ongoing sense-making and learning process.
Effectiveness of CFRP composites on compression flange of structural I-beam
Authors: Jagtap Prashant Rangrao , Pore Sachin M. 
Published: May 2019

Purpose
This study aims to use carbon fiber-reinforced polymer (CFRP) laminates to strengthen the compression flange of structural I-beam so as to avoid local failure of compression flange and to take a load to its full capacity. Light weight beam (LB) 100 at 5.1 kg/m and LB 115 at 8.1 kg/m are used for this purpose. The compression flange of a beam is well prepared to ensure a rust-free surface so as to achieve proper bonding between the flange and fiber sheet to avoid de-bonding at the time of testing. A flange of the beam is strengthened using CFRP sheets applied to it with the help of adhesive. The beam with CFRP is cured in air for 48 h before testing. Experiments are performed in a loading frame of 100 T capacity. Results show that the load carrying capacity of the strengthened beam increased by 25-30 per cent compared to the control beam (non-strengthened), and the local failure of the compression flange due to the applied load is totally avoided. The elastic behavior of the strengthened beam is also increased compared to the non-strengthened beam, which gives a higher yield point.

Design/methodology/approach
Different methods exist for strengthening various structures. Use of CFRP appears to be an excellent solution. Vast research has been conducted on the use of CFRP for strengthening and retrofitting of steel structures. The load carrying capacities of steel beams can be increased by strengthening their compression flange by using CFRP and avoiding the local failure of beams at early stages.

Findings
The load carrying capacity of a beam strengthened with CFRP increased by 25-30 per cent compared to the non-strengthened beam. In addition, the elastic behavior of the strengthened beam is also improved.

Originality/value
The compression flange of the steel beam is strengthened using different layers of CFRP strips to avoid the local failure, and its deflection is observed using linear variable deformation transducer.
Energy efficiency for cooling buildings in hot and dry regions using sol-air temperature and ground temperature effects
Authors: Mostafaeipour Ali , Goudarzi Hossein , Sedaghat Ahmad , Jahangiri Mehdi , Hadian Hengameh , Rezaei Mostafa , Golmohammadi Amir-Mohammad , Karimi Parniyan 
Published: May 2019

Purpose
In hot and dry climates, air conditioning accounts for a large portion of total energy consumption; therefore, this paper aims to investigate the impact of sol-air temperature and ground temperature on the loss of cooling energy in hot and dry regions of Iran.

Design/methodology/approach
In line with this objective, the values of sol-air temperature along different directions and ground temperature at different depths were assessed with respect to climatic data of Yazd City. The impact of sol-air temperature and ground temperature on the rate of heat loss was investigated. So, energy loss of the walls aligned to four primary directions was calculated. This process was repeated for a 36 m2 building with three different shape factors. All analyses were conducted for the period from May to September, during which buildings need to be cooled by air conditioners.

Findings
Numerical analyses conducted for hot and dry climate show that sol-air temperature leads to a 41-17 per cent increase in the wall’s energy loss compared with ambient temperature. Meanwhile, building the wall below the surface leads to a significant reduction in energy loss. For example, building the wall 400 cm below the surface leads to about 74.8-79.2 per cent energy saving compared with above ground design. The results also show that increasing the direct contact between soil and building envelope decreases the energy loss, so energy loss of a building that is built 400 cm below the surface is 53.7-55.3 per cent lower than that of a building built above the surface.

Originality/value
The impact of sol-air temperature and ground temperature on the cooling energy loss of a building in hot and dry climate was investigated. Numerical analysis shows that solar radiation increases heat loss from building envelope. Soil temperature fluctuations decrease with depth. Heat loss from building envelope in an underground building is lower than that from building envelope in a building built above the ground. Three different shape factors showed that sol-air temperature has the maximum impact on square-shaped plan and minimal impact on buildings with east-west orientation.
Advantages and potential challenges of data management in e-maintenance
Authors: Razmi-Farooji Arian , Kropsu-Vehkaperä Hanna , Härkönen Janne , Haapasalo Harri 
Published: May 2019

Purpose
The purpose of this paper is twofold: first, to understand data management challenges in e-maintenance systems from a holistically viewpoint through summarizing the earlier scattered research in the field, and second, to present a conceptual approach for addressing these challenges in practice.

Design/methodology/approach
The study is realized as a combination of a literature review and by the means of analyzing the practices on an industry leader in manufacturing and maintenance services.

Findings
This research provides a general understanding over data management challenges in e-maintenance and summarizes their associated proposed solutions. In addition, this paper lists and exemplifies different types and sources of data which can be collected in e-maintenance, across different organizational levels. Analyzing the data management practices of an e-maintenance industry leader provides a conceptual approach to address identified challenges in practice.

Research limitations/implications
Since this paper is based on studying the practices of a single company, it might be limited to generalize the results. Future research topics can focus on each of mentioned data management challenges and also validate the applicability of presented model in other companies and industries.

Practical implications
Understanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges.

Originality/value
The so-far literature on e-maintenance has been studied with narrow focus to data and data management in e-maintenance appears as one of the less studied topics in the literature. This research paper contributes to e-maintenance by highlighting the deficiencies of the discussion surrounding the perspectives of data management in e-maintenance by studying all common data management challenges and listing different types of data which need to be acquired in e-maintenance systems.
Aircraft turbines time-to-failures process modeling using RBF NN
Authors: Al-Garni Ahmed Z. , Abdelrahman Wael G. , Abdallah Ayman M. 
Published: May 2019

Purpose
The purpose of this paper is to formulate a specialized artificial neural network algorithm utilizing radial basis function (RBF) for modeling of time to failure of aircraft engine turbines.

Design/methodology/approach
The model uses training failure data collected from operators of turboprop aircraft working in harsh desert conditions where sand erosion is a detrimental factor in reducing turbine life. Accordingly, the model is more suited to accurate prediction of life of critical components of such engines. The used RBF employs a closest neighbor type of classifier and the hidden unit’s activation is based on the displacement between the early prototype and the input vector.

Findings
The results of the algorithm are compared to earlier work utilizing Weibull regression modeling, as well as Feed Forward Back Propagation NN. The results show that the failure rates estimated by RBF more closely match actual failure data than the estimations by both other models. The trained model showed reasonable accuracy in predicting future failure events. Moreover, the technique is shown to have comparatively higher efficiency even with reduced number of neurons in each layer of ANN. This significantly decreases computation time with minimum effect on the accuracy of results.

Originality/value
Using RBF technique significantly decreases the computational time with minimum effect on the accuracy of results.
Adaptive prediction model for effective electrical machine maintenance
Authors: D. Ganga , V. Ramachandran 
Published: May 2019

Purpose
The purpose of this paper is to propose an optimal predictive model for the short-term forecast of real-time non-stationary machine variables by combining time series prediction with adaptive algorithms to minimize the error and to improve the prediction accuracy.

Design/methodology/approach
The proposed model is applied for prediction of speed and controller set point of three-phase induction motor operating on closed loop speed control with AC drive and PI controller. At Stage 1, the trend of the machine variables has been extracted and added to auto-regressive moving average (ARMA) time series prediction. ARMA prediction has been carried out using different combinations of AR and MA methods in order to make prediction with less Mean Squared Error (MSE).

Findings
The prediction error indicates the inadequacy of the model to estimate the data characteristics, which has been resolved at the subsequent stage by cascading an adaptive least mean square finite impulse response filter to the time series model. The adaptive filter receives the predicted output including training data and iteratively adjusts its coefficients for zero error convergence.

Research limitations/implications
The componentized data prediction based on time series and cascade adaptive filter algorithm decomposes the non-stationary data characteristics for predictive maintenance. Evaluation of the model with different combination of time series algorithms and parameter settings of adaptive filter has been carried out to illustrate the performance of the prediction model. This prediction accuracy is compared with existing linear adaptive filter prediction using MSE as comparison index. The wide margin in the MSE values substantiates the prediction efficiency of the proposed model for machine data.

Originality/value
This model predicts the dynamic machine data with component decomposition at high accuracy, which enables to interpret the system response under dynamic conditions efficiently.
Photophysical property, electronic structure and solid-state packing of O-heterocyclic annulated perylene diimide
Authors: Li Wenjing , Wang Qi , Ma Yongshan , Jiang Tianyi , Zhu Yanyan , Shao Yuanyuan , Sun Cuizhen , Wu Junsen 
Published: May 2019

PurposeSelf-organization has been regarded as a tool for the synthesis of well-defined organic nanostructures. Heterocyclic annulated perylene diimides are the subjects of considerable current research studies. The purpose of this study is to reveal the photophysical property, electronic structure and solid-state packing of O-heterocyclic annulated perylene diimide.Design/methodology/approachAsymmetrically five-membered O-heterocyclic annulated perylene diimide (OAPDI) was synthesized. Structure and purity of OAPDI were confirmed by1H NMR,13C NMR, IR and mass spectral techniques. Photophysical properties of OAPDI were studied using UV–vis absorption and fluorescence in both solution (CHCl3) and solid state. Scanning electron microscopic and atomic force microscopy were used to characterize the surface morphology of OAPDI. Conducting properties of the OAPDI were evaluated by current–voltage measurements. The compounds geometries were also optimized at 6-31G* using density functional theory.FindingsThe UV–vis absorption and fluorescence spectra of OAPDI in solution are blue-shifted in comparison with that of unsubstituted perylene bisimide. Solid-state UV–vis measurements of OAPDI indicate that it is capable of forming highly ordered structure. The non-covalent interactions, electrostatic attraction and p-p stacking moieties of OAPDI synergistically guide assembly and domain growth while maintaining the interpenetrating network of nanofibers in the solid film. The OAPDI gave higher current at −2.0 V (0.68µA) and 4.0 V (1.0µA).Originality/valueThis study will be helpful for exploring feasible routes to acquire soluble perylene diimides and well-defined organic nanostructures. Furthermore, such molecular tailoring approach would be helpful for designing and synthesizing novel organic semiconductive materials with excellent charge-transporting and light-emitting capabilities.