Search results

Recent advancements in the field of organizational psychology have transformed the employees’ perceptions related to the reactions of the employment relationship. The main aim of the study is to explore the consequences of psychological contracts among the nursing staff and how to provide better patient care and quality service in the health-care system as nurses play a pivotal role in the context of Pakistan. Significantly, this study attempts to bridge the research gap by exploring consequences of psychological contracts. Drawing on the social exchange theory, this study examined the psychological contracts of nurses and their reactions to the perceived violation.

This research adopted a qualitative method and was based on an exploratory approach. Data were collected through in-depth semi-structured interviews from 21 nurses working in public, private and charity hospitals in Karachi, Pakistan. The thematic content analysis is employed for the analysis of data by using NVivo software.

The study identified the relational and transactional elements related to the psychological contract of nurses who predominantly consisted of supervisor support, autonomy, tangible/intangible rewards and trust. The intrinsic motivation which relates to their devotion to work was found as an additional element to balance their psychological contract. This research also establishes that the psychological contract of nurses is being violated in their work settings.

By highlighting the importance of psychological contract breach, the findings demonstrate that health-care institutions should take measures to cope with psychological contract breach issues at the workplace.

This study contributes to the body of knowledge by exploring psychological contract breach. Substantially, there are rare studies conducted on psychological contract breach among nurses in developing country context (Pakistan). However, this study adds to the previous studies related to the psychological contract of nurses in the context of Pakistan by using social exchange theories. Finally, this study enables the management of healthcare to balance the psychological contract issues effectively.

The purpose of this study is to evaluate the effect of some internal features that influence the efficiency of non-bank financial institutions (NBFIs) in Bangladesh.

The study selected the top 15 Dhaka Stock Exchange (DSE)-listed NBFIs according to purposive sampling. The study period was from 2016 to 2020. Secondary data were collected from annual reports. The cost-to-income ratio was a dependent variable that was used as a proxy of operational efficiency. The ordinary least square regression technique was applied to measure the impact of firm-specific factors on efficiency.

Results showed that number of employees, branch number, firm size and deposit ratio have a significant effect on efficiency at 5% level. The number of branches and employees showed a negative impact, whereas firm size and deposit ratio showed a positive effect on the firms' efficiency. The deposit ratio is negatively related because deposit interest expenses were more than offset by interest income generation through the conversion of deposits into loans.

The study has practical and policy implications on NBFIs' managers, employees, shareholders, depositors, clients, regulatory authorities and government as efficiency enhancement would bring financial soundness.

This study shed light on some firm-specific factors that can be changed to increase operational efficiency or reduce the cost-to-income ratio. The novelty of the study is that it identified some significant associations between firm-specific factors and the operational efficiency of NBFIs.

Nonlinear mixed-convective entropy optimized the flow of hyperbolic-tangent nanofluid (HTN) with magnetohydrodynamics (MHD) process is considered over a vertical slendering surface. The impression of activation energy is incorporated in the modeling with the significance of nonlinear radiation, dissipative-function, heat generation/consumption connection and Joule heating. Research in this area has practical applications in the design of efficient heat exchangers, thermal management systems or nanomaterial-based devices.

Suitable set of variables is introduced to transform the PDEs (Partial differential equations) system into required ODEs (Ordinary differential equations) system. The transformed ODEs system is then solved numerically via finite difference method. Graphical artworks are made to predict the control of applicable transport parameters on surface entropy, Bejan number, Sherwood number, skin-friction, Nusselt number, temperature, velocity and concentration fields.

It is noticed from present numerical examination that Bejan number aggravates for improved estimations of concentration-difference parameter a_2, Eckert number E_c, thermal ratio parameter ?_w and radiation parameter R_d, whereas surface entropy condenses for flow performance index n, temperature-difference parameter a_1, thermodiffusion parameter N_t and mixed convection parameter ?. Sherwood number is enriched with the amplification of pedesis-motion parameter N_b, while opposite development is perceived for thermodiffusion parameter. Lastly, outcomes are matched with formerly published data to authenticate the present numerical investigation.

To the best of the authors' knowledge, no investigation has been reported yet that explains the entropic behavior with activation energy in the flowing of hyperbolic-tangent mixed-convective nanomaterial due to a vertical slendering surface.

The purpose of this review paper is to address the substantial challenges of the outdated exoskeletons used for rehabilitation and further study the current advancements in this field. The shortcomings and technological developments in sensing the input signals to enable the desired motions, actuation, control and training methods are explained for further improvements in exoskeleton research.

Search platforms such as Web of Science, IEEE, Scopus and PubMed were used to collect the literature. The total number of recent articles referred to in this review paper with relevant keywords is filtered to 143.

Exoskeletons are getting smarter often with the integration of various modern tools to enhance the effectiveness of rehabilitation. The recent applications of bio signal sensing for rehabilitation to perform user-desired actions promote the development of independent exoskeleton systems. The modern concepts of artificial intelligence and machine learning enable the implementation of brain–computer interfacing (BCI) and hybrid BCIs in exoskeletons. Likewise, novel actuation techniques are necessary to overcome the significant challenges seen in conventional exoskeletons, such as the high-power requirements, poor back drivability, bulkiness and low energy efficiency. Implementation of suitable controller algorithms facilitates the instantaneous correction of actuation signals for all joints to obtain the desired motion. Furthermore, applying the traditional rehabilitation training methods is monotonous and exhausting for the user and the trainer. The incorporation of games, virtual reality (VR) and augmented reality (AR) technologies in exoskeletons has made rehabilitation training far more effective in recent times. The combination of electroencephalogram and electromyography-based hybrid BCI is desirable for signal sensing and controlling the exoskeletons based on user intentions. The challenges faced with actuation can be resolved by developing advanced power sources with minimal size and weight, easy portability, lower cost and good energy storage capacity. Implementation of novel smart materials enables a colossal scope for actuation in future exoskeleton developments. Improved versions of sliding mode control reported in the literature are suitable for robust control of nonlinear exoskeleton models. Optimizing the controller parameters with the help of evolutionary algorithms is also an effective method for exoskeleton control. The experiments using VR/AR and games for rehabilitation training yielded promising results as the performance of patients improved substantially.

Robotic exoskeleton-based rehabilitation will help to reduce the fatigue of physiotherapists. Repeated and intention-based exercise will improve the recovery of the affected part at a faster pace. Improved rehabilitation training methods like VR/AR-based technologies help in motivating the subject.

The paper describes the recent methods for signal sensing, actuation, control and rehabilitation training approaches used in developing exoskeletons. All these areas are key elements in an exoskeleton where the review papers are published very limitedly. Therefore, this paper will stand as a guide for the researchers working in this domain.

This work aims to concentrate on the mixed convection of the stagnation point flow of ternary hybrid nanofluids towards vertical Riga plate. Aluminum trioxide (Al₂O₃), silicon dioxide (SiO₂) and titanium dioxide (TiO₂) are regarded as nanoparticles, with water serving as the base fluid. The mathematical model incorporates momentum boundary layer and energy equations. The Grinberg term for the viscous dissipation and the wall parallel Lorentz force coming from the Riga plate are taken into consideration in the context of the energy equation.

Through the use of appropriate nonsimilar transformations, the governing system is transformed into nonlinear nondimensional partial differential equations (PDEs). The numerical method bvp4c (built-in package for MATLAB) is used in this study to simulate governing equations using the local non-similarity (LNS) approach up to the second truncation level.

Numerous graphs and numerical tables expound on the physical properties of the nanofluid temperature and velocity profiles. The local Nusselt correlations and the drag coefficient for pertinent parameters have been computed in tabular form. Additionally, the temperature profile drops while the velocity profile increases when the mixed convection parameter is included to oppose the flow.

The fundamental goal of this work is to comprehend how ternary nanofluids move towards a vertical Riga plate in a mixed convective domain with stagnation point flow.

Given innovation's significance, this research examines the link between empowered leadership and frugal innovation. The research also explores how collaborative cultures and organizational commitment mediate empowered leadership's effect on frugal innovation.

Quantitative method is used with the approach of hierarchical regression to test the hypotheses with data obtained from Pakistani small- and medium-sized enterprises (SMEs) through the questionnaire from 288 participants.

The results of this study show that empowered leadership has a considerable impact on the firm's capacity for frugal innovation. Additionally, this study shows that organizational commitment and collaborative culture significantly moderate the association between empowering leadership and frugal innovation.

Future studies should examine mediating factors, including employment experience, education and perceived organizational support, and moderating variables like employee psychological empowerment and leadership styles.

This research advises SMEs in developing nations to utilize frugal innovation since they cannot afford to spend extensively on technologies that add creativity and innovation to goods and services.

This study advances how leadership both directly and indirectly helps organizations strengthen their capacity for frugal innovation through the mediating roles of collaborative culture and organizational commitment.

This study aims to model the important flow response quantities over a shrinking wedge with the help of response surface methodology (RSM) and an artificial neural network (ANN). An ANN simulation for optimal thermal transport of incompressible viscous fluid under the impact of the magnetic effect (MHD) over a shrinking wedge with sensitivity analysis and optimization with RSM has yet not been investigated. This effort is devoted to filling the gap in existing literature.

A statistical experimental design is a setup with RSM using a central composite design (CCD). This setup involves the combination of values of input parameters such as porosity, shrinking and magnetic effect. The responses of skin friction coefficient and Nusselt number are required against each parameter combination of the experimental design, which is computed by solving the simplified form of the governing equations using bvp4c (a built-in technique in MATLAB). An empirical model for Cf_x and Nu_x using RSM and ANN adopting the Levenberg–Marquardt algorithm based on trained neural networks (LMA-TNN) is attained. The empirical model for skin friction coefficient and Nusselt number using RSM has 99.96% and 99.99% coefficients of determination, respectively.

The values of these matrices show the goodness of fit for these quantities. The authors compared the results obtained from bvp4c, RSM and ANN and found them all to be in good agreement. A sensitivity analysis is performed, which shows that Cf_x as well as Nu_x are most affected by porosity. However, they are least affected by magnetic parameters.

This study aims to simulate ANN and sensitivity analysis for optimal thermal transport of magnetic viscous fluid over shrinking wedge.

The prime objective of this study is to examine the impact of sight cues and corporate social responsibility (CSR) activities of the Islamic banks on loyalty by improving the corporate image (CI) of the Islamic banks. This study also examines the mediating effect of a CI along with moderating impact of religion and collectivism on loyalty.

The data were obtained through the purposive sampling method by distributing questionnaires among the customers of Islamic banks. A total of 550 questionnaires were surveyed from six full-fledged commercial Islamic banks and eight Islamic windows of the commercial bank in Pakistan using variance-based structural equation modelling (partial least squares) to test the hypothesis.

The results of the study reflected that sight cues and CSR activities have a significant impact on CI and keeping the customer’s loyalty. Additionally, religion and collectivism also moderate the relationship between CI and loyalty.

From a managerial perspective, the study finding exhibits the significant effect, both directly and indirectly, of religiosity on the loyalty intention of the customers of Islamic banks. Hence, persuading the client that the bank is in complete compliance with (Shariah) will forestall their clients switching to another bank.

This study is unique in its nature because it revealed the factors that lead to customer loyalty towards Islamic banks. The study found sight cues and CSR are the new indicators used to build CIs of Islamic banks.

This study investigates the mediating role of brand love in two important relationships: first, corporate social responsibility (CSR)–word-of-mouth (WoM) intentions and second, corporate ability (CA)–WoM relationships.

Data were collected with a sample of 359 respondents, and partial least squares-based structural equation modeling was utilized for data analysis.

The research reveals interesting findings as brand love fully mediates the CSR–WoM relationship, whilst it partially mediates the CA–WoM relationship.

The results demonstrate that cellular service firms should strive to create brand love. This is because CSR investments can be diligently translated into WoM intentions through brand love.

The proposal and validation of brand love as a mediator in CSR–WoM and CA–WoM relationships in the cellular service context of a South Asian market is the key contribution of this research.

This paper aims to contribute to the field of social entrepreneurship by exploring the interrelationships among the antecedents of social entrepreneurial intention (SEI) through the lens of Mair Noboa model (MNM). In recent years, many researchers have applied the antecedents of MNM to determine SEI. However, interrelationship among these antecedents has not been a focus of enquiry despite the repeated scholarly calls.

Applying quantitative methodology, the data was collected from a Web-based survey distributed across Bangladesh (N = 412). Data analysis was carried out based on the covariance-based structural equation modelling technique to confirm the hypotheses. The final measurement and structural models met all the requirements for reliability, model fit, convergent validity and discriminant validity. The proposed hypotheses were tested based on direct relationships and mediating effects.

The findings suggested that interrelationships among these antecedents do increase individuals’ intentions to become social entrepreneurs.

This paper fills an important knowledge gap by exploring the interrelationships among moral obligation, empathy, perceived social support and social entrepreneurial self-efficacy. This paper stressed identifying whether the SEI enhances through the interrelationships among these antecedents or not. The study findings bring new theoretical and practical implications on the role of empathy, moral obligation, perceived social support and social entrepreneurial self-efficacy.