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The purpose of the proposed model is to assist the e-business to predict the churned users using machine learning. This paper aims to monitor the customer behavior and to perform decision-making accordingly.

The proposed model uses the 2-D convolutional neural network (CNN; a technique of deep learning). The proposed model is a layered architecture that comprises two different phases that are data load and preprocessing layer and 2-D CNN layer. In addition, the Apache Spark parallel and distributed framework is used to process the data in a parallel environment. Training data is captured from Kaggle by using Telco Customer Churn.

The proposed model is accurate and has an accuracy score of 0.963 out of 1. In addition, the training and validation loss is extremely less, which is 0.004. The confusion matric results show the true-positive values are 95% and the true-negative values are 94%. However, the false-negative is only 5% and the false-positive is only 6%, which is effective.

This paper highlights an inclusive description of preprocessing required for the CNN model. The data set is addressed more carefully for the successful customer churn prediction.

The purpose of this paper is to develop a risk management framework, combined with Six Sigma tool and techniques, to help handle the undesired effects that can occur during the project execution. There exist various risk management methodologies but none of them provide an efficient framework and tools to handle undesired effects. In this paper, the goal is to assist practitioners in management of risks.

The author defines a new risk management framework on the basis of critical review of previous research applied in the industry related to different manufacturing, construction, HR, Marketing, IT and other domains. The strengths and weaknesses of these methods have been compared through empirical analysis based on real‐life case studies.

An enhanced framework is developed for handling, management and analysis of risk associated with the projects. An extended model is presented by combining the previous risk management methodologies with Six Sigma methodologies, in order to achieve both improvement and minimization of risks simultaneously. The risk management framework defined in project management lacks compatibility and enhancement with the handling in real‐time projects. By combining a number of methodologies, after critical study of related frameworks, it has been possible to devise a framework which has proved to be beneficial.

The model defined in the paper is based on implementation and approvals from the management and takes time for implementation of Six Sigma. Currently the enhanced model is implemented in a single process in a real‐time industry to validate the model. A through study and knowledge of processes with data is required in order to implement the model.

The proposed model achieves higher organizational performance by motivation and training of its employees handling large‐scale projects. This has increased the knowledge of persons by minimizing the barrier to change management; hence, achieving organizational excellence and project management with ease.

The methodology will help organizations, especially in the manufacturing industry, to minimize the risks in both pre‐execution and post‐execution of projects. It enables overall improvement of organization with total product management, root cause analysis, project management knowledge areas and combination of Six Sigma tools. It also makes the knowledge management concept possible within the framework, to maintain the flow of knowledge throughout the organization. It has decreased dependency on a single person and promotes team management concepts with shared work values.

In recent years, the fast growth of Islamic banks (IBs) has generated debates among policymakers and economists about the sustainability and performance of these institutions. This paper aims to undertake a comparative analysis of the financial performance of IBs and conventional banks (CBs) in Pakistan over the period 2008–2019 to evaluate how IBs are faring compared to their conventional peers.

This paper considers Financial Ratio Analysis (FRA) to analyse and compare the performance of the top-10 IBs and CBs operating in Pakistan. The sample includes five full-fledged IBs and five CBs which offer Islamic windows in Pakistan. The top-five performing CBs offering Islamic windows have been selected in this study.

The results show that IBs are better capitalized, less risky and have higher liquidity as compared to CBs. In contrast, the profits of IBs are found to be lower than those of CBs.

The study has provided an analysis of financial performance only for Pakistan. A cross-country analysis could be more representative of the performance of IBs.

The study infers that the size of the Islamic banking industry in Pakistan should be enhanced by opening new branches and promoting Islamic financial literacy.

The study assists investors, creditors, debtors and managers in making better decisions. It also provides the latest valuable information to regulators and policymakers that can be used to make rules and policies for the finance industry in Pakistan.

This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. The current shortcomings and outlook of the DF also have been highlighted. A DF is a state-of-the-art manufacturing facility that uses innovative technologies, including automation, artificial intelligence (AI), the Internet of Things, additive manufacturing (AM), SM, hybrid manufacturing (HM), sensors for real-time feedback and control, and a DT, to streamline and improve manufacturing operations.

This study presents a novel perspective on DF development using laser-based AM, SM, sensors and DTs. Recent developments in laser-based AM, SM, sensors and DTs have been compiled. This study has been developed using systematic reviews and meta-analyses (PRISMA) guidelines, discussing literature on the DTs for laser-based AM, particularly laser powder bed fusion and direct energy deposition, in-situ monitoring and control equipment, SM and HM. The principal goal of this study is to highlight the aspects of DF and its development using existing techniques.

A comprehensive literature review finds a substantial lack of complete techniques that incorporate cyber-physical systems, advanced data analytics, AI, standardized interoperability, human–machine cooperation and scalable adaptability. The suggested DF effectively fills this void by integrating cyber-physical system components, including DT, AM, SM and sensors into the manufacturing process. Using sophisticated data analytics and AI algorithms, the DF facilitates real-time data analysis, predictive maintenance, quality control and optimal resource allocation. In addition, the suggested DF ensures interoperability between diverse devices and systems by emphasizing standardized communication protocols and interfaces. The modular and adaptable architecture of the DF enables scalability and adaptation, allowing for rapid reaction to market conditions.

Based on the need of DF, this review presents a comprehensive approach to DF development using DTs, sensing devices, LAM and SM processes and provides current progress in this domain.

The purpose of this paper is to explain the relationship between customer-oriented strategy (COS) and financial performance (FP) of firm, to examine the role of supportive human resource management (HRM) in COS implementation and contribution toward FP of firm. It also examines the mediating role of innovation capability (IC) between COS and FP of firm.

The approach used for this study is quantitative. Data required for testing of hypothesis were gathered from the managers of manufacturing firms of Gujranwala, Pakistan. To conduct the data analysis, structural equation modeling was used.

Findings of this study showed that there is significantly positive relation between COS and FP with the significant positive mediating effects of supportive HRM and IC.

This research has been conducted in manufacturing sector only. So, it is suggested to future researchers to carry out this research in other sectors. Second, this research focused only on IC but there are many other organizational capabilities (OC) that can be used.

This research would be helpful for all firms adopting COS to understand that how to mobilize their HR to accomplish the purpose of strategy. It will enable manufacturing firms to understand and work on IC.

This study is anticipated to add value to the existing literature of strategy process and OC. This study is one of the first to examine IC as mediator between COS and organizational FP so it opens new areas for research.

Thermal and species transport of magneto hydrodynamic Casson liquid over a stretched surface is investigated theoretically in this examination for the three-dimensional boundary layer flow of a yield exhibiting material. The phenomenon of heat and species relocation is based upon modified Fourier and Fick’s laws that involves the relaxation times for the transportation of heat and mass. Conservation laws are modeled under boundary layer analysis in the Cartesian coordinates system. The purpose of this paper is to find the influence of different emerging parameters on fluid velocity, temperature and transport of species.

Reconstructed nonlinear boundary layer ordinary differential equations are analyzed through eigenvalues and eigenvectors. Due to the complexity and non-existence of the exact solution of the transformed equations, a convergent series solution by the homotopy algorithm is also derived. The reliability of the applied scheme is presented by comparing the obtained results with the previous findings.

Physical quantities of interest are displayed through graphs and tables and discussed for sundry variables. It is discerned that higher magnetic influence slows down fluid motion, whereas concentration and temperature profiles upsurge. Reliability of the recommended scheme is monitored by comparing the obtained results for the dimensionless stress as a limiting case of previous findings and an excellent agreement is observed. Higher values of Schmidt number reduce the concentration profile, whereas mounting the values of Prandtl number reduces the dimensionless temperature field. Moreover, heat and species transfer rates increase by mounting the values of thermal and concentration relaxation times.

The phenomenon of heat and species relocation is based upon modified Fourier and Fick’s laws which involves the relaxation times for the transportation of heat and mass. Conservation laws are modeled under boundary layer analysis in the Cartesian coordinates system.

Drawing on the socially embedded model of thriving and the idiosyncrasy credit model of leadership, this study aims to develop a moderated mediation model to investigate the roles that are thriving at work and leader competency play in the link between leader humility and creative service performance (CSP) of hospitality frontline service employees (FSEs).

To test the moderated mediation model, the authors applied a time-lagged research design and collected multi-source data from locally owned, star-rated hotels headquartered in the capital city of Pakistan. The authors collected the multi-source data at three different points in time from employees and their respective supervisors (N = 52 managers and their 312 immediate employees).

The results denote that leader humility positively impacts CSP, thriving at work mediates this impact and leader competency not only moderates the connection between leader humility and thriving at work but also magnifies the indirect association between leader humility and CSP via thriving at work.

The moderated mediation framework based on the socially embedded model of thriving and the idiosyncrasy credit model of leadership will benefit future researchers and practitioners while exploring the impact of leader humility (LH) on FSEs’ CSP in the hospitality context.

The fundamental contribution of this study is developing and testing a research model that concentrates on the effects of leader humility on FSEs’ CSP. Moreover, by receiving support on the mediating role of thriving, this research further sheds light on how subordinates under the leader with humility demonstrate high CSP. In addition, the moderating role of leader competency found in this study further highlights that leader effectiveness depends on the degree to which employees perceive their leader as competent.

The purpose of this research is to examine whether board gender diversity reduces the agency costs of firms in the context of Chinese listed firms.

This paper uses a large sample of 23,340 firm-year observations of Chinese listed companies during 2004–2017. The authors use ordinary least squares regressions as the primary methodology with a wide range of methods to control for endogeneity and to check robustness, including the fixed-effect method, instrumental variable approach, lagged gender diversity measures, propensity score matching, Blau index, Shannon index and industry-adjusted measures of agency costs.

The evidence reveals that the participation of female directors in corporate board reduces agency costs, which correlates with conflicts of interest. Moreover, gender-diverse boards are more effective in state-owned enterprises (SOEs), in which agency issues are more severe. Female directors also provide better monitoring roles in more-developed areas. Finally, corporate boards that have a critical mass of female directors have a greater tendency to reduce agency costs as compared to their token participation. Overall, all findings support the validity of agency theory.

This study shows the economic benefit of female directors in the boardroom by reducing agency costs and by improving firms' governance structure. Regarding the government, which is gradually introducing board gender diversity policies, this study provides valuable pragmatic information for Chinese regulators on this issue.

This study extends the literature by providing evidence that gender diversity in boardroom matters for shareholders' wealth maximization. It provides novel evidence that a critical mass of female directors is more effective in reducing agency costs compared to a single female on the board, and that the effect of gender diversity varies in relation to ownership structure and region.

This study, based on social exchange theory, aims to explore knowledge hiding behavior in relation to shared goals of individuals working in teams and trust (cognitive-based trust and affective-based trust) as a boundary condition on shared goals and knowledge hiding relationship.

A total sample of 270 reliable questionnaires are collected from university students in China. SPSS and AMOS are employed for the data analysis of the proposed model.

Findings of the study have indicated that shared goals are negatively associated with knowledge hiding behavior. Furthermore, trust (cognitive-based trust and affective-based trust) moderates the relationship between shared goals and knowledge hiding behavior.

This study has provided empirical proof and in-depth understanding and recommendations for supervisors and administrative authorities to form the culture of groups/teams with shared goals to reduce the undesirable individual behaviors.

This study, among the first empirical studies investigating the relationship between shared goals and knowledge hiding behavior, trust as a moderator, enriches the existing academic literature of and provides valuable insight into the research on knowledge hiding and knowledge management.

This study aims to investigate the effect of monetary policy on housing prices for US economy. It specifically examines whether nominal or real interest rates are the key drivers behind fluctuations in housing prices in US.

Monthly data from January 1991 to July 2023 and various appropriate analytical tools such as unit root tests, Johansen’s cointegration test, vector error correction model (VECM), impulse response function and Granger causality test were applied for the data analysis.

The Johansen cointegration findings reveal the presence of a long-term relationship among the variables. VECM results indicate a negative correlation between nominal and real interest rates and housing prices in both the short and long terms, suggesting that a strict monetary policy can help in controlling the housing price increase in the USA. However, housing prices are more responsive to changes in nominal interest rates than to real interest rates. Additionally, the study reveals that the COVID-19 pandemic contributed to the upsurge in housing prices in the USA.

This study contributes by examining the role that nominal or real interest rates play in shaping housing prices in the USA. Moreover, given the recent significant upsurge in housing prices, this study presents a unique opportunity to investigate whether these price increases are influenced by the Federal Reserve's monetary policy decisions regarding nominal or real interest rates. Additionally, using monthly data, this study provides a deeper understanding of the fluctuations in housing prices and their connection to monetary policy tools.