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The purpose of this paper is to predict the machining performance of electrical discharge machining of Ti-13Nb-13Zr (TNZ) alloy, a promising biomedical alloy, using artificial neural networks (ANN) models.

In the research, three major performance characteristics, i.e. the material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR), were chosen for the study. The input parameters for machining were the voltage, current, pulse-on time and pulse-off time. For the ANN model, a two-layer feedforward network with sigmoid hidden neurons and linear output neurons were chosen. Levenberg–Marquardt backpropagation algorithm was used to train the neural networks.

The optimal ANN structure comprises four neurons in input layer, ten neurons in hidden layer and one neuron in the output layer (4–10-1). In predicting MRR, the 60–20-20 data split provides the lowest MSE (0.0021179) and highest R-value for training (0.99976). On the contrary, the 70–15-15 data split results in the best performance in predicting both TWR and SR. The model achieves the lowest MSE and highest R-value for training in predicting TWR as 1.17E-06 and 0.84488, respectively. Increasing the number of hidden neurons of the network further deteriorates the performance. In predicting SR, the authors find the best MSE and R-value as 0.86748 and 0.94024, respectively.

This is a novel approach in performance prediction of electrical discharge machining in terms of new workpiece material (TNZ alloys).

This study aims to examine the effect of a high commitment work system (HCWS) on employee well-being and the mediating role of organizational support and work–life balance.

Using structural equation modeling (SEM) for analysis, a quantitative approach was adopted to collect data from the 235 employees from the public sector in the United Arab Emirates (UAE).

Results show that HCWSs have a significant influence on organizational support and employee work–life balance. Therefore, there is a significant positive effect on employee well-being. The consequence of HCWS on well-being is not mediated by organizational support. Organization and work–life balance do not support the idea of reducing the negative effects of high-commitment work systems on well-being. There is a significant influence of work–life balance on employee behaviors to have well-being.

Managers can devise a strategy to involve the employees to join participating in decision-making. The research advances knowledge of how HCWS improves employee well-being and emphasizes the significance of organizational support in the environment of public organizations. Organizations are expecting to develop new strategies that help employees engage with their environment and increase their confidence. In this perspective, the present study has identified a crucial key factor of HCWS affecting of organization support and employee work–life balance, which can help propelling employees well-being. The research expands the knowledge of the organizational and cultural elements that influence employee behavior and performance in this setting by evaluating the effects of HCWS on employee well-being in the UAE.

This study aims to empirically investigate the pathway to financial management behavioural intentions (FMBI) from Islamic perspectives, through dimensions of Islamic financial literacy (IFL; Islamic financial knowledge [IFK], financial skills [FS] and self-efficacy [SE]) based on an extension to the theory of planned behaviour (TPB) model.

Data was collected via a self-administered questionnaire by 300 millennials (Muslims) working in Malaysia. Structural equation modelling was used for data analysis purposes by using SmartPLS.

The results present the positive and significant influence of IFK on financial attitude (FA), FS on the elements of FA, subjective norm (SN), perceived behavioural control (PBC) and perceived moral obligation (PMO), SE on FA, FS on the elements of FA, SN and PBC. Furthermore, PBC and PMO were strong predictors of FMBI from an Islamic standpoint.

The findings successfully contribute to the theoretical extension of the TPB model via dimensions of IFL (IFK, FS and SE) as predictors of FA, SNs, PBC and PMO. Besides, this study provides some new insights of millennial Muslims concerning IFL and financial management from Islamic beliefs.

The aim of this study is to measure the mediating effect of emotional intelligence on job satisfaction and firm performance of small business and to identify the critical success constructs and significant path of emotional intelligence in relation to job satisfaction and firm performance.

This study provides an analysis of the relevant literature that has been published on the renowned journal of small business. This study’s theoretical framework and constructs were developed based on prior research of emotional intelligence in small business. Along with, data were gathered from 355 respondents, with a valid response rate of 73.95%. This study used the SEM-PLS to measure the validity of the theoretical framework and test the hypothesis.

This study revealed that infrastructure, leadership and management, salary, working hours, working environment and emotional intelligence are very crucial for job satisfaction and firm performance. Emotional intelligence mediated the relationship between five job satisfaction factors (working hours, organizational infrastructure, leadership and management, working environment, salary and other benefits) and firm performance. Thus, this study can contribute to enhancing firm performance and developing a new dimension of small business.

The result of this study will assist the researchers and service providers in understanding the mediating effect of emotional intelligence on job satisfaction and firm performance of small businesses. Thereby, policy formulation in the era of training of employees, leadership and technology-based services orientation will assist to in enhancing opportunities for small businesses and upholding sustainable business.

To the best of the authors’ knowledge, this study is the first to analyze the link of the mediating effect of emotional intelligence on job satisfaction and firm performance of small business.

This study aims to examine the impact of transformational leadership on leadership effectiveness and the mediating effect of emotional skills in this relationship.

The study used quantitative methodology, collecting data from 350 respondents from the Lebanese context. The data were analysed using AMOS for structural equation modelling.

Results indicated that transformational leadership positively impacts leadership effectiveness, and this relationship is partially mediated by emotional skills. Specifically, adaptability, assertiveness and relationship management partially mediate the relationship of transformational leadership to leadership effectiveness. The findings suggest that leaders who possess emotional skills, especially those related to adaptability, assertiveness and relationship management, can be more effective in their roles by inspiring and motivating their followers through transformational leadership.

The study relies on self-reported data, which can introduce potential biases such as social desirability bias and subjectivity. The study uses a cross-sectional design, which hinders establishing causal relationships or examining changes over time.

This study highlights the significance of transformational leadership on leadership effectiveness and its potential benefits on emotional skills as a mediator in this relationship.

The research is unique and provides potential contribution to the Lebanese context.