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In artificial intelligence, the optical character recognition (OCR) is an active research area based on famous applications such as automation and transformation of printed documents into machine-readable text document. The major purpose of OCR in academia and banks is to achieve a significant performance to save storage space.

A novel technique is proposed for automated OCR based on multi-properties features fusion and selection. The features are fused using serially formulation and output passed to partial least square (PLS) based selection method. The selection is done based on the entropy fitness function. The final features are classified by an ensemble classifier.

The presented method was extensively tested on two datasets such as the authors proposed and Chars74k benchmark and achieved an accuracy of 91.2 and 99.9%. Comparing the results with existing techniques, it is found that the proposed method gives improved performance.

The technique presented in this work will help for license plate recognition and text conversion from a printed document to machine-readable.

The security of the stored biometric template is itself a challenge. Feature transformation techniques and biometric cryptosystems are used to address the concerns and improve the general acceptance of biometrics. The purpose of this paper is to provide an overview of different techniques and processes for securing the biometric templates. Furthermore, the paper explores current research trends in this area.

In this paper, the authors provide an overview and survey of different features transformation techniques and biometric cryptosystems.

Feature transformation techniques and biometric cryptosystems provide reliable biometric security at a high level. There are many techniques that provide provable security with practical viable recognition rates. However, there remain several issues and challenges that are being faced during the deployment of these technologies.

This paper provides an overview of currently used techniques for securing biometric templates and also outlines the related issues and challenges.

This study aims to explore the factors that influence young green actual consumption behavior (GACB) by examining the relational and technological aspects that are dependent on technology and youth green buying intention (GBI). Additionally, this study endeavors to examine the moderating effect of adolescent green organizational citizenship behavior (OCB) on the association between young consumer GBI and young GACB.

The data for this study was collected from a sample of 282 university students located in the southern region of China. A time lag approach was used in this study, with data being gathered during two separate intervals spaced apart by duration of two months.

The findings of this study demonstrate that both technological and relational factors play a significant role in predicting young consumer GBI, which in turn predicts young GACB. Additionally, the results indicate that GBI is a crucial facilitator in the investigation. Furthermore, the results reveal that young green OCB serves as a significant moderator, enhancing the association between young consumer GBI and young consumer GACB.

The present study provides a novel perspective on the examination of how technology and relational factors impact young consumers, offering a deeper understanding of their intentions and actual consumption behavior. The findings of this study offer both theoretical and practical implications for academics, policymakers, senior managers and practitioners, providing valuable insights into the field.

This study examines the impact of trade openness, human capital, public expenditure and institutional performance on unemployment in various income groups of Organization of Islamic Cooperation (OIC) countries.

Traditional panel data methodologies neglect the issue of cross-sectional dependence and provide ambiguous outcomes. A novel approach, “dynamic common correlated effects (DCCE)”, is utilized in this study to tackle with aforementioned issue. Pooled mean group (PMG) estimation is also applied to verify the robustness of the findings.

The long-run estimates show that trade openness has a significant and negative relationship with the unemployment rate in overall and lower-income OIC economies and a positive correlation with unemployment in higher-income OIC countries. Public expenditure is negatively and significantly correlated with unemployment in higher-income and overall OIC economies. Moreover, human capital reduces unemployment in higher-income and overall OIC countries while increases unemployment in lower-income OIC economies.

The research tends to endorse the argument for continuous trade openness policy along with efficient use of public expenditure and improved institutional performance to reduce unemployment in OIC countries.

The DCCE approach in this research considers heterogeneity and cross-sectional dependence between cross-sectional units and thus gives robust outcomes.

Outstanding features such as thermal conductivity and superior electrical conductivity of nanofluids unfold a new window in the context of their extensive applications in engineering and industrial domains. The purpose of this study to simulate numerically the magneto-nanofluid flow and heat transfer over a curved stretching surface. Heat transport is explored in the presence of viscous dissipation. At the curved surface, the convective boundary condition is adopted. Three different nanoparticles, namely, copper, aluminium oxide and titanium dioxide are taken into consideration because of easily available in nature.

The basic flow equations are framed in terms of curvilinear coordinates. The modelled partial differential equations are transformed into a system of non-linear ordinary differential equations by means of appropriate similarity transformation. The subsequent non-linear system of equations is then solved numerically by using the Runge–Kutta–Felhberg method with the shooting scheme via bvp4c MATLAB built-in function. Impacts of various physical parameters on velocity, pressure and temperature distributions, local skin-friction coefficient, local Nusselt number and wall temperature are portrayed through graphs and tables followed by a comprehensive debate and physical interpretation.

Graphical results divulge that augmenting values of the magnetic parameter cause a decline in velocity profiles and stream function inside the boundary layer. The magnitude of the pressure function inside the boundary layer reduces for higher estimation of curvature parameter, and it is also zero when the curvature parameter goes to infinity. Furthermore, the temperature is observed in a rising trend with growing values of the magnetic parameter and Biot number.

This research study is very pertinent to the expulsion of polymer sheet and photographic films, metallurgical industry, electrically-conducting polymer dynamics, magnetic material processing, rubber and polymer sheet processing, continuous casting of metals, fibre spinning, glass blowing and fibre, wire and fibre covering and sustenance stuff preparing, etc.

Despite the huge amount of literature available, but still, very little attention is given to simulate the flow configuration due to the curved stretching surface with the convective boundary condition. Very few papers have been examined on this topic and found that its essence inside the boundary layer is not any more insignificant than on account of a stretching sheet. A numerical comparison with the published works is conducted to verify the accuracy of the present study.

The purpose of this paper is to examine the association between abusive supervision and knowledge hiding behaviors. The authors further investigate how abusive supervision is linked with knowledge hiding behaviors, and why some subordinates, unlike others, tend to engage in more knowledge hiding behaviors in response to abusive supervision. The authors propose that interpersonal justice mediates the relationship between abusive supervision and knowledge hiding behaviors, and that Islamic work ethics (IWE) weaken the hypothesized relationship between abusive supervision and knowledge hiding behaviors.

The data were gathered in three time lags from 224 respondents working in the hospitality industry of Pakistan.

The results reveal that the abusive supervision is positively associated with a knowledge hiding behaviors. This relationship is mediated by perceptions of interpersonal justice, but the IWE moderated this relationship such that in the presence of high levels of IWE, the impact of abusive supervision on knowledge hiding behaviors is weak.

Employees’ values and beliefs can serve as a safeguard against reactions to abusive supervision. The impact of abusive supervision on employees’ behaviors may be minimized by building their ethical values around Islamic principles.

To the best of the knowledge, this is the first study to examine the relationship between abusive supervision and knowledge hiding behaviors. The authors integrate displaced aggression and social exchange theory with the IWE literature to offer new insights in-to the mechanisms and boundary conditions associated with the relationship between abusive supervision and knowledge hiding behaviors.

In this communication, a theoretical simulation is aimed to characterize the Darcy–Forchheimer flow of a magneto-couple stress fluid over an inclined exponentially stretching sheet. Stokes’ couple stress model is deployed to simulate non-Newtonian microstructural characteristics. Two different kinds of thermal boundary conditions, namely, the prescribed exponential order surface temperature (PEST) and prescribed exponential order heat flux, are considered in the heat transfer analysis. Joule heating (Ohmic dissipation), viscous dissipation and heat source/sink impacts are also included in the energy equation because these phenomena arise frequently in magnetic materials processing.

The governing partial differential equations are transformed into nonlinear ordinary differential equations (ODEs) by adopting suitable similar transformations. The resulting system of nonlinear ODEs is tackled numerically by using the Runge–Kutta fourth (RK4)-order numerical integration scheme based on the shooting technique. The impacts of sundry parameters on stream function, velocity and temperature profiles are viewed with the help of graphical illustrations. For engineering interests, the physical implication of the said parameters on skin friction coefficient, Nussult number and surface temperature are discussed numerically through tables.

As a key outcome, it is noted that the augmented Chandrasekhar number, porosity parameter and Forchhemeir parameter diminish the stream function as well as the velocity profile. The behavior of the Darcian drag force is similar to the magnetic field on fluid flow. Temperature profiles are generally upsurged with the greater magnetic field, couple stress parameter and porosity parameter, and are consistently higher for the PEST case.

The findings obtained from this analysis can be applied in magnetic material processing, metallurgy, casting, filtration of liquid metals, gas-cleaning filtration, cooling of metallic sheets, petroleum industries, geothermal operations, boundary layer resistors in aerodynamics, etc.

From the literature review, it has been found that the Darcy–Forchheimer flow of a magneto-couple stress fluid over an inclined exponentially stretching surface with heat flux conditions is still scarce. The numerical data of the present results are validated with the already existing studies under limited cases and inferred to have good concord.

The literature on supply chain risk management (SCRM) has investigated a multitude of supply chain risks. This paper aims to make a case for the importance of managing the risk of knowledge loss in the supply chain management (SCM) function and incorporating knowledge loss as a critical risk within the SCRM process.

This paper adopts a knowledge-based view of the SCRM process and attempts to bring to light insights based on a synthesis of the relevant literature. The authors conducted a systematic literature review of peer-reviewed articles published between 1998 and 2019. Further, a case study was conducted to illustrate the significance of the risk of knowledge loss in the SCM function in terms of how it operates and why it has such a significant impact on performance.

Knowledge loss is a relatively neglected type of supply chain risk that can be added to the existing typologies. This paper argues that knowledge loss in the SCM function has the propensity to significantly impact the performance of the focal firm, exacerbate other types of supply chain risk and impede risk mitigation efforts. We put forth several strategies that supply chain managers can adopt to mitigate the risk of knowledge loss in their function.

This paper generates an exploratory opening that could pave the way for a systematic theory of knowledge loss as a supply chain risk and future empirical research. The study culminates in a number of important insights and initiatives for supply chain managers to recognize and manage the risk of knowledge loss.

This paper argues for the importance of incorporating the risk of knowledge loss in SCRM research and practice. It also provides an examination of some promising angles for future research in SCRM from a knowledge-based perspective.

By taking the theory of entrepreneurial legacy as the baseline, this study explores the various aspects of succession planning in indigenous family businesses especially the role of female family members in succession and conflicts in family businesses.

The study is qualitative in nature and adopts narrative inquiry to explore the aspects of succession planning. In doing so, the study utilizes an in-depth interviewing technique with nine participants who run their family-owned firms which are mostly in their second or third generation for analysis.

The findings are concurrent with the literature that indicates a lack of strategic succession planning although ordinary or natural succession does occur in some firms. The study also reports a lack of consideration for female members in succession, daughters in particular, for traditional family firms (FFs) in contrast to entrepreneurial FFs.

The study has many implications for family-owned firms in Pakistan as they need to align their family business with the theory of entrepreneurial legacy and its three strategic activities in order to ensure the longevity of their business.

Exploring how succession planning takes place in family indigenous family businesses and what is the role of female family members in succession and conflicts in family businesses are original contributions of this study.

The purpose of this study was to examine a moderated mediation model of job dissatisfaction and workplace social support in the relationship between work–life conflict and turnover intentions.

Data were collected in a cross-sectional survey of 220 police investigation officers. Partial least squares structural equation modeling was applied for data analysis.

Empirical findings of study indicate that work–life conflict enhances employee turnover intentions by creating job dissatisfaction. However, workplace social support buffers this effect and reduces turnover intentions by weakening the effect of work–life conflict on job dissatisfaction.

This study contributes to personnel management and organizational psychology literature by explaining how workplace social support can affect the mediating process of job dissatisfaction through which the relationship between work–life conflict and turnover intentions is determined. The limitations are related to external validity, single source data and cross-sectional nature of data.

Organizational leaders and practitioners can take insights from the findings of this study that if workplace social support prevails at a level greater than work–life conflict, it will nullify or suppress the effect of work–life conflict on turnover intentions by reducing job dissatisfaction.

The originality value of this study is that it has addressed the scarcity of testing boundary conditions of the indirect effect of work–life conflict on turnover intentions through job dissatisfaction.