Search results

Workplace well-being has emerged as an important aspect in the field of health care. Therefore, this paper aims to investigate the role of managerial coaching on nurses’ well-being through psychological ownership and organizational identity.

The authors approached 284 nurses working in both public and private hospitals (between December 2019 and February 2020) on convenience basis, and data were collected through an online questionnaire-based survey.

The data were analyzed using AMOS version 24 and structural equation modeling confirmed psychological ownership and organizational identity as explanatory variables between managerial coaching and well-being.

The study used self-reported data using convenience sampling which may raise a question on causality. The findings suggest the management to consider the importance of managerial coaching in shaping positive workplace behaviors of employees.

Drawings on social exchange theory, this study extends past studies to examine the mediating roles of psychological ownership and organizational identification between managerial coaching and workplace well-being among nurses. The study has theoretical and practical implications.

This study aims to examine university students’ acceptance of e-learning systems in Pakistan. A Web-based learning system is a new form of utilizing technological features. Although, developed countries have initiated and established the concept for e-learning, developing countries require empirical support to implement e-learning.

This paper further explains a conceptual model that is based on the technology acceptance model (TAM). Earlier theories such as the theory of reasoned action (TRA), theory of planned behaviour (TPB) and decomposed theory of planned behaviour (DTPB) have been conducted on user behavioural intention (BI). TAM is considered as the most relevant framework in a Web-based context. To analyse the present study’s hypothesized model, structural equation modelling (SEM) has been used to statistically analyse self-reported sample data from 424 university students.

The results revealed that TAM, with the combination of new constructs, explains university students’ acceptance of the e-learning system reasonably well. Additionally, work life quality (WLQ) and facilitating conditions (FC) have a greater influence on the BI and the actual use (AU) of the e-learning system, respectively.

The study has also provided valuable implications for academics and practitioners for ways to enhance the acceptance of the e-learning system in the higher education of Pakistan.

How does the interplay between entrepreneurship policies and both formal and informal gender equality affect women’s inclination towards self-employment in contrast to men?

This study introduces and validates a comprehensive multi-level model underpinned by symbolic interactionism, institutional theory, and the nuances of gendered institutions. Employing innovative analytical techniques and leveraging data from 66 countries, we scrutinize how formal and informal gendered institutional arrangements either inhibit or facilitate an environment favorable to women’s entrepreneurial activities.

Significantly, our research delves into the nuanced effects of specific entrepreneurship policies across diverse nations. While these policies can bridge the gendered resource gap, a profound understanding of broader gender dynamics is crucial for fostering an inclusive entrepreneurial landscape.

Our insights advocate for a more integrated approach to bolster women’s participation in entrepreneurship, thus furthering their socio-economic progression.

This study’s objectives are twofold; first, this paper aims to explore the determinants of perceived benefit and perceived risk of Islamic Fintech. Second, this study examines the influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic Fintech.

The sample of 350 was distributed among the respondents, while a usable sample of 321 was retained for the analysis. The study performed a self-administration survey to collect the sample data while the hypothesized model was tested using SmartPLS.

The results revealed that perceived benefit and perceived risk were significant and positively influenced by their factors. Moreover, perceived benefits showed a positive and significant impact on trust. However, perceived risk had a negative and significant impact on trust. The results also found a strong positive and significant relationship between trust and intention to adopt Islamic Fintech.

The outcome of this research may be used to develop strategies for Fintech and enables the financial sector to attain economies of scale in the world.

This paper aims to examine the relationship between trade and economic growth using data of UAE economy for the period of 1974-2011.

The bounds testing is applied for testing the cointegration relationship between the variables. The rolling window approach has been used to analyze the stability of long run coefficients.

The empirical analysis shows the presence of cointegration between trade and economic growth. Furthermore, exports have positive, but imports have negative effect on economic growth. The rolling window approach confirms the stability of long-run estimates.

This paper provides new insights for policymakers to use trade as economic tool for sustainable economic development.

This paper makes a unique contribution to the literature with reference to UAE, being a pioneering attempt to investigate the relationship between trade and economic growth by using long time series data and applying more rigorous techniques like time varying rolling window analysis.

The main purpose of this study is to examine the damage behavior of flexural members under different loading conditions. The finite element model is proposed for the prediction of modal parameters, damage assessment and damage detection of flexural members. Moreover, the analysis of flexural members has been done for the sensor arrangement to accurately predict the damage parameters without the laborious work of experimentation in the laboratory.

Beam-like structures are structures that are subjected to flexural loadings that are involved in almost every type of civil engineering construction like buildings, bridges, etc. Experimental Modal Analysis (EMA) is a popular technique to detect damages in structures without requiring tough and complex methods. Experimental work conducted in this study concludes that a structure experiences high changes in modal properties once when cracking occurs and then at the stage where cracks start at the critical neutral axis. Moreover, among the various modal parameters of the flexural members, natural frequency and mode shapes are the viable parameters for the damage detection.

For torsional mode, drop in natural frequency is high for higher damages as compared to low levels. This is because of the opening and closing of cracks in modal testing. When damage occurs in the structure, there is a reduction in the magnitude of the FRF plot. The measure of this drop can also lead to damage assessment in addition to damage detection. The natural frequency of the system is the most reliable modal parameter in detecting damages. However, for damage localization, the next step after damage assessment, mode shapes can be more helpful as compared to all other parameters.

Effect on Dynamic Properties of Flexural Members during the Progressive Deterioration of Reinforced Concrete Structures is studied.

This paper aims to address the need for a more in-depth empirical investigation of exploring the link between the adoption of corporate social responsibility (CSR) practices and different aspects of customer behavior in a developing country. This paper develops a research framework and assesses the mediating role of trust, customer-company identification (CCI) and electronic-service quality (E-SQ) between customer perceptions of CSR and customer loyalty.

Working with a sample of 280 banking customers in Pakistan, partial least square based structural equation modeling is used to test the conceptual model.

Surprisingly, results suggest that CSR is not directly related to customer loyalty, which is contradictory to previously established findings conducted in developed countries. Thus, confirming a full mediation of CCI, E-SQ and trust in enhancing the effect of CSR on customer loyalty. The study also confirms that CSR is positively related to E-SQ, and E-SQ also directly affects CCI.

Banks should adhere to honest CSR practices and effectively communicate and advertise these practices to increase awareness and knowledge among the customers. Similarly, banks should advance in technological expertise to generate customer identification, which then leads to their loyalty.

Previous studies conferred short-term customer’s reactions, such as purchase intention and brand image. Still, this research discusses the long-term effect of CSR on customer behavior, such as the loyalty of the customers. Moreover, this is the pioneer study that investigates how CSR actions influence customer perceptions about E-SQ and how electronic services affect customer identification with a bank.

This study aims to investigate the factors that determine the customer adoption of Islamic banking in Pakistan.

This paper aims to use a sample of 540 Islamic bank customers located in the biggest city of Pakistan (Karachi). This study is based on the diffusion of innovation (DOI) theory and analyzed the role of five attributes (compatibility, relative advantage, complexity, observability and trialability) along with the consumer awareness about the customer adoption of Islamic banking. Additionally, the present research also considers Islamic banking as a new idea (innovation) in Pakistan under the framework of DOI theoretical assumptions. The exploratory and confirmatory factor analyses are applied to the sample data. The theoretical framework is then tested using structural equation modeling.

The findings of the study revealed that all five attributes of the DOI theory are positively and significantly related to the customer adoption of Islamic banking. The customer awareness also proved its importance in the hypothesized model by representing a positive and significant relationship.

The present study provides a useful guideline for the Islamic bank managers and the academicians to better understand the customer adoption of Islamic banking.

The aim of the current study is to recommend and compare the estimates of finite element model (FEM), analytical model, and artificial neural networks (ANN) model for capturing the LCC of FCSC members. A database comprising 325 FCSC columns was constructed from previous studies to propose FEM and ANN models while the analytical model was proposed based on a database of 712 samples and encasing mechanics of steel tube and FRP wraps. The concrete damage plastic model was used for concrete along with bilinear and linear elastic models for steel tube and FRP wraps, respectively. Analytical and ANN models effectively considered the lateral encasing mechanism of FCSC columns for accurate predictions.

The study aimed to compare the prediction accuracy of finite element (FEM), analytical, and artificial neural network (ANN) models for the load-carrying capacity (LCC) of fiber reinforced polymer (FRP)-encased concrete-filled steel tube (CFST) compression members (FCSC). A database of 325 FCSC columns was developed for FEM and ANN models, while the analytical model was based on 712 samples, utilizing encasing mechanics of steel tube and FRP wraps. FEM used a concrete damage plastic model, bilinear steel tube, and linear elastic FRP models. Statistical accuracy was evaluated using MAE, MAPE, R², RMSE, and a 20-index across all models.

Based on the experimental database, the FEM presented the accuracies in the form of statistical parameters MAE = 223.76, MAPE = 285.32, R² = 0.94, RMSE = 210.43 and a20-index = 0.83. The analytical model showed the statistics of MAE = 427.229, MAPE = 283.649, R2 = 0.8149, RMSE = 275.428 and a20-index = 0.73 while ANN models portrayed the predictions with MAE = 195, MAPE = 229.67, R² = 0.981, RMSE = 174 and a20-index = 0.89 for the LCC of FCSC columns.

Although various investigations have already been performed on the prediction of the load-carrying capacity (LCC) of fiber reinforced polymer (FRP)-encased concrete-filled steel tube (CFST) compression members (FCSC) using small and noisy data, none of them compared the accuracy of prediction of different modeling techniques based on a refined large database.