Search results

The purpose of this paper is to develop an adaptive fuzzy controller for STATCOM to damp low-frequency inter-area oscillation over wide operating range using wide area signals in multimachine power system.

In this paper tuneable fuzzy model is proposed where the parameters of the fuzzy inference system are tuned by using the adaptive characteristic of the artificial neural network. Based on back propagation algorithm and method of least square estimation, the fuzzy inference rule base is tweaked according to the data from which they are modelled. The wide area control signals, for the proposed controller, available in the power system are selected on the basis of eigenvalue sensitivity defined in terms of participation factor.

The effectiveness of the proposed controller with wide area signals is tested on two test cases, namely, two area network and IEEE 12 bus benchmark system. The comparative analysis of the proposed adaptive fuzzy controller is carried out with conventional STATCOM controller along with fuzzy-and neural-based supplementary controller all using selected wide area signals. The results show that neural network tuned fuzzy controller leads to better system identification and have enhanced damping characteristics over wide operating range.

In the available literature, numerous researchers have indicated the use of fuzzy logic controller and neural controller along with their hybrid schemes as STATCOM controller for improving the dynamics of the multimachine power system using local signals. The main contribution of the paper is in using the hybrid intelligent control scheme for STATCOM using wide area signals. The advantage of proposed scheme is that the performance of well-designed fuzzy system can be enhanced with the same training data that are used for designing a neural controller thus giving enhanced performance in comparison to individual intelligent control scheme.

This study aims to examine the impact of workplace safety (WPS) on employee retention (ER) in the health-care sector in Azad Jammu and Kashmir (AJ&K), Pakistan. At the same time, a mediation relationship through job satisfaction (JS) and employee loyalty (EL) was also tested.

Structured questionnaires were used to collect the data from 300 doctors, using purposive sampling technique analysed using partial least squares (Smart-PLS 3).

This study’s findings supported all hypotheses, such as WPS has a significant positive relationship with ER. In addition, a mediation relationship between JS and EL was also confirmed. Furthermore, a serial mediation effect of JS and EL between WPS and ER was also confirmed in this study.

This study might not fit organisations from other regions due to regional norms. In the future, this study’s model may be tested on other regions and segments of the health-care sector, such as nurses, management staff and support staff.

The present study is unique because it is based on a newly formulated framework, WPS → JS → EL → ER, under the social exchange theory, which has not been tested before.

In a safe environment, doctors will feel relaxed, stay longer and provide better services; resultantly, patients will get better treatment.

This study tested the sequential mediation effect through JS and EL for the first time in ER, which was missing previously, to the best of the authors’ knowledge. This will add more insights to the safety-retention literature in health-care settings. Furthermore, this study is also the first attempt to explore the relationship between WPS and ER in the health-care sector in AJ&K.

The purpose of this paper is to provide a structured literature review on knowledge management (KM) and KM strategy in environmental sustainability practices of logistics service providers. The paper highlights the nature and scope of existing research and identifies areas for future research.

The study consists of a systematic review of existing research regarding KM in sustainable logistics. In all, 38 refereed research papers formed the basis of analysis. This methodology allows for the minimization of researcher bias and the maximization of reliability and replicability.

The literature review made possible the identification of three basic elements through which building-up appropriate KM approaches and KM strategies in the area of environmental sustainability by third-party logistics service companies will be enhanced: customer relationship management, quality of human resources and the adoption of information and communication technology tools and systems.

This study may not have enabled a complete coverage of all articles in the field of KM in the context of environmental sustainability practices of logistics service companies. Yet, it seems reasonable to assume that the review process covered a large share of studies available. The main research implications deriving from the study concern research methods, analysis of factors hampering/supporting the implementation of KM in practices related to environmental sustainability, development of measures to demonstrate the impact of KM on sustainability practices and role of different stakeholders in the implementation of KM in environmental sustainability practices.

To the best of the authors ' knowledge, no systematic literature review on this topic has previously been published in academic journals.

The purpose of this paper is to explore the flow of Cu-water and Ag-water nanofluids past a vertical Riga plate. The plate is infinite in height and has zero normal wall flux through its surface. Influence of thermal radiation, slip, suction and chemical reaction on the flow characteristics are reported.

Non-dimensional forms of the flow governing equations are obtained by means of a set of similarity transformations. Numerical solution is obtained with the help of fourth-fifth-order Runge–Kutta–Fehlberg method with shooting procedure. Comparison of solution profiles of Cu-water and Ag-water nanofluids are presented graphically and with the help of tables. Influence of pertinent parameters on skin friction and heat transfer rate is also reported.

Results reveal that the skin friction coefficient is more prominent in the case of Ag-water nanofluid for an increase in thermal radiation and volume fraction. The role of suction and slip is to increase velocity but decrease the temperature in both nanofluids. Temperature and velocity of both nanofluids increase as volume fraction and thermal radiation values are augmented. Heat transport increases with thermal radiation. Region near the plate experiences rise in nanoparticle concentration with an increase in chemical reaction parameter.

A complete investigation of the modeled problem is addressed and the results of this paper are original.

This study intends to find the industries that have leveraged Robotic Process Automation (RPA) technology and elucidate the extent of the adoption of RPA in various industry domains with benefits. The identification of tasks eligible for RPA itself is a challenge. Therefore, the study further brings out the challenges faced in various industry verticals and postulates the future direction of research and applications in RPA.

The study focuses on articles from popular databases such as SCOPUS, Web of Science and Google scholar. PRISMA methodology is used for systematic literature review and 113 papers are shortlisted for study. Three questions are framed to carry out the review and set the research direction.

It is evident from this study that RPA has been widely used in banking and related areas with moderate use in healthcare and manufacturing leading to operational efficiency and productivity. However, there are a lot more opportunities in other domains that need to be taped by leveraging technology advancements and a research agenda has been devised by postulating future directions.

The study brings out a new comprehensive perspective as regards RPA implementation across domains. There is no promising study found that gathers three-dimensional aspects of the meta-themes applications, benefits and challenges. The study summarizes the research agenda and projects the industry domains that have not yet explored, the benefits of RPA. This will be a good reference article for those who develop RPA techniques and organizations that have plans to go for RPA.

This research explores the determinants and consequences of salesperson polychronicity in a business-to-business (B2B) sales environment. Additionally, the study examined the link between the antecedents and consequences of salesperson polychronicity using resistance to change (RC) and manager trust in salesperson (MT) as moderators.

A conceptual framework was developed by testing eight hypotheses based on data collected from 378 salesperson-manager dyads.

The authors find that opening leader behavior is positively associated with salesperson polychronicity, while closing leader behavior negatively influences salesperson polychronicity. In addition, salesperson polychronicity positively affects service recovery performance and customer-directed organizational citizen behaviors (OCB). Finally, the RC and MT significantly and positively moderate the linkage between the antecedents and consequences of salesperson polychronicity.

This study is original because this is the first study to address polychronicity as an individual trait in a B2B environment where multitasking behavior is of paramount importance.

The purpose of this paper is to highlight the studies of momentum and transmission of heat on mixed convection boundary layer Darcy‒Forchheimer flow of Casson liquid over a linear extending surface in a porous medium. The belongings of homogeneous‒heterogeneous retorts are also affianced. The mechanism of heat transmission is braced out in the form of Cattaneo‒Christov heat flux. Appropriate restorations are smeared to revolutionize coupled nonlinear partial differential equations conforming to momentum, energy and concentration of homogeneous‒heterogeneous reaction equations into coupled nonlinear ordinary differential equations (ODEs).

Numerical elucidations of the transmogrified ODEs are accomplished via a dexterous and trustworthy scheme, namely optimal homotopy analysis method. The convergence of planned scheme is exposed with the support of error table.

The exploration of mixed convection Darcy‒Forchheimer MHD boundary layer flow of incompressible Casson fluid by the linear stretched surface with Cattaneo‒Christov heat flux model and homogeneous‒heterogeneous reactions is checked in this research. Imitations of the core subsidized flow parameters on velocity, temperature and concentration of homogeneous‒heterogeneous reactions solutions are conscripted. From the recent deliberation, remarkable annotations are as follows: non-dimensional velocities in x_a− and x_b− directions shrink, whereas the non-dimensional temperature upsurges when the Casson fluid parameter ameliorates. Similar impact of Casson fluid parameter, magnetic parameter, mixed convection parameter, inertia parameter, and porosity parameter is observed for both the components of velocity field. An escalation in magnetic parameter shows the opposite attitude of temperature field as compared with velocity profile. Similar bearing of Casson fluid parameter is observed for both temperature and velocity fields. Enhancement in concentration rate is observed for growing values of (N_s) and (Sc), and it reduces for (k₁). Both temperature and concentration of homogeneous‒heterogeneous upturn by mounting the magnetic parameter. Demeanor of magnetic parameter, Casson fluid parameter, heat generation parameter is opposite to that of Prandtl number and thermal relaxation parameter on temperature profile.

In many industrial and engineering applications, the current exploration is utilized for the transport of heat and mass in any system.

As far as novelty of this work is concerned this is an innovative study and such analysis has not been considered so far.

The purpose of this paper is to evaluate the role of corporate social responsibility (CSR) on small and medium-size enterprises’ (SMEs') performance by exploring the role of mediating variables such as brand trust (BT) and brand loyalty (BL) in the context of an emerging market.

Based on a extend literature review on CSR, BT and BL studies, the authors evaluate the impact of those construct on SMEs’ performance in an emerging market. The paper follows a quantitative approach. In total, 247 responses were collected from 300 samples. The Smart Partial Least Squares SEM (version) was used to analyze the data of the SMEs of Vietnam in the year 2020.

The findings revealed significant and positive relationships among the variables in the model, such as CSR and firm performance (FP), CSR and BT, CSR and BL, as well as the mediating effect of BT and BL between CSR and firm performance.

First, the sample was composed of small business from different segments, thus the respondents' perspective about CSR can differ according the impact of the business on society. Therefore, future studies could address businesses from a single segment to get a deeper understanding of their knowledge and involvement with CSR. Second, a cross-cultural study in emerging countries can be a rich venue for future research. Third, this study was developed through a quantitative approach; thus, the future research can apply qualitative approach or mixed methods to extend the study findings.

Managerial level of firm should prioritize noneconomic-related CSR; however, those will ultimately drive financial indicators of FP. The result is reasonable because firm simultaneously keeps committed with its stakeholders by delivering the committed qualification, transparency in operation and consistency in communication, environment respect, employee development and social welfare integrated directly into business activities. Those will result in creating love, trust and admiration from stakeholder, customers for brand and firms will get their engagement and support in many ways. This implication suggests that firm should incorporate CSR strategy into their core business activities and practice properly toward its stakeholders.

This study contributes to the CSR literature in emerging context by shedding light on the roles of CSR in FP with the mediation roles of BT and BL. Most CSR studies focused on Western context as developed economy, thus less attention has been paid for emerging economy. While there is increasing interest CSR in Vietnam, traditional culture and its distinctive economic and political structure has had a great influence on CSR in Vietnam. Thus, this study is important and meaningful for business practitioners, investors, shareholders and policymakers toward sustainable development for firms and Vietnam as a whole.

To the best of the authors’ knowledge, this is the first study that explores the mediating role of BT and BL between CSR and FP for SMEs. The findings of this study may be of great implications to entrepreneurs, top management with respect to strategic perspectives to drive their businesses and to improve their FP in a sustainable direction in contexts of emerging markets. In addition, this finding may be of great interest to motive SMEs' managers to engage with CSR actions where those businesses are situated during and after the COVID-19 pandemic. By that understanding, Government may consider for policy reforms/innovation/groundbreaking to leverage businesses to promote their strengths toward sustainable development in the new economic settings. The findings of this study may be of significant contribution to SMEs in Vietnam and in others in emerging economies.

This study analyses the prevalent coronavirus disease (COVID-19) epidemic using machine learning algorithms. The data set used is an API data provided by the John Hopkins University resource centre and used the Web crawler to gather all the data features such as confirmed, recovered and death cases. Because of the unavailability of any COVID-19 drug at the moment, the unvarnished truth is that this outbreak is not expected to end in the near future, so the number of cases of this study would be very date specific. The analysis demonstrated in this paper focuses on the monthly analysis of confirmed, recovered and death cases, which assists to identify the trend and seasonality in the data. The purpose of this study is to explore the essential concepts of time series algorithms and use those concepts to perform time series analysis on the infected cases worldwide and forecast the spread of the virus in the next two weeks and thus aid in health-care services. Lower obtained mean absolute percentage error results of the forecasting time interval validate the model’s credibility.

In this study, the time series analysis of this outbreak forecast was done using the auto-regressive integrated moving average (ARIMA) model and also seasonal auto-regressive integrated moving averages with exogenous regressor (SARIMAX) and optimized to achieve better results.

The inferences of time series forecasting models ARIMA and SARIMAX were efficient to produce exact approximate results. The forecasting results indicate that an increasing trend is observed and there is a high rise in COVID-19 cases in many regions and countries that might face one of its worst days unless and until measures are taken to curb the spread of this disease quickly. The pattern of the rise of the spread of the virus in such countries is exactly mimicking some of the countries of early COVID-19 adoption such as Italy and the USA. Further, the obtained numbers of the models are date specific so the most recent execution of the model would return more recent results. The future scope of the study involves analysis with other models such as long short-term memory and then comparison with time series models.

A time series is a time-stamped data set in which each data point corresponds to a set of observations made at a particular time instance. This work is novel and addresses the COVID-19 with the help of time series analysis. The inferences of time series forecasting models ARIMA and SARIMAX were efficient to produce exact approximate results.