Measuring the performance of Fintech services on mobile apps (FSMA) is considered a major key to sustain, develop, and improve financial services and their processes, depending on users’ standpoints on digital platforms. Public value aims at enhancing the performance of government institutions services. Throughout the current research, authors have suggested a novel way to evaluate the performance and management of FSMA by theorizing a new conceptual framework entitled Public Value of Fintech Services’ Mobile Apps (PV-FSMA). A quantitative approach was chosen to measure several factors influencing the use of FSMA and evaluate the degree of public value of FSMA among Jordanians. The structural equation model was conducted based on the results of the PV-FSMA model hypotheses. The results confirmed that FSMA-intention to use (FSMA-ITU) and its predictors: FSMA-usefulness (FSMA-US), FSMA-awareness (FSMA-AR), FSMA-security (FSMA-SE), FSMA-social influence (FSMA-IS), and FSMA-system quality (FSMA-SQ) except FSMA-ease of use (FSMA-ES) are valuable determinants of PV-FSMA. The article presents theoretical implications regarding financial services and public value theories and practical implications regarding public institution leaders, managers, and information technology specialists in the Fintech domain to improve the quality and performance of FSMA in Jordan.

A new era of supply chain management has been brought about by the digital age, which is completely changing the way companies organize, carry out, and maximize their operations. This survey report provides an in-depth analysis of supply chain management's present situation in this digital environment. Utilizing a comprehensive analysis of extant literature, papers, and studies, it pinpoints and investigates the pivotal patterns, obstacles, and prospects that enterprises encounter when adopting digital technology inside their supply chains. This article explores the range of digital technologies, including blockchain, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT), that have transformed supply chain management. We provide a classified overview of the area by examining the data from many sources and emphasizing recurring elements that characterize the contemporary supply chain environment. We also take into account the effects of digitalization on corporate operations, such as the difficulties associated with data protection, the necessity of change management, and the possibility of increased productivity. Case studies of industry leaders who have successfully transitioned to the digital era shed light on best practices and offer useful insights. Looking forward, we offer a glimpse into the future of supply chain management, predicting and discussing emerging trends and technologies, such as 5G connectivity and sustainability initiatives. This paper concludes with a call to action, emphasizing the importance of staying ahead in the digital age for organizations seeking to remain competitive, agile, and resilient in an ever-evolving business landscape. It also suggests areas for future research and development, guiding further exploration in the field.

The purpose of this research is to find out the effectiveness of E- auditing in improving financial performance at banks operating in Jordan by identifying the association between financial performance, (ROE, Profitability) and E- auditing. To attain the study objectives, A cross-sectional survey method was used to collect data from a sample of employees who work in banks, The preliminary data was collected using electronic structured Likert-Scale questionnaires. The population comprised 25 banks operating in Jordan with 160 employees in the accounting departments. A total of 113 questionnaires were completed and returned electronically from accountants who work in the banks. The SPSS statistical programs were used to analyze the data collected; the results of the analysis found that E- auditing significantly improves the financial performance at banks operating in Jordan. The study concludes that banks should adopt the effective and expanded use of E- audit as it gives independent, truthful, and trusted financial audit information. Banks in Jordan should embrace the effective and expanded use of E- auditing to assure detection of financial fraud, thus sealing routine financial loopholes.

This study offers a comprehensive investigation of the complex interconnections between High-Performance Work Systems, Knowledge Sharing, Entrepreneurial Leadership, and Employee Intrapreneurial Behavior in the telecommunications sector of Jordan. By using a quantitative method, this research employs structured questionnaires to gather comprehensive empirical findings from a sample of industry specialists. With 312 verified replies providing a solid framework, advanced analytical methods such as Structural Equation Modeling (SEM) and Partial Least Squares (PLS) were utilized to clarify the complex paths and linkages of the proposed hypothesis. The main findings of this study reveal that Entrepreneurial Leadership plays a crucial role in enhancing the influence of High-Performance Work Systems in fostering a dynamic intrapreneurial culture. It acts as a catalyst that magnifies the intrapreneurial inclinations among workers. Furthermore, knowledge sharing has arisen as a mediator, facilitating the influence of High-Performance Work Systems in fostering EIB. The research offers a thorough and intricate analysis that enriches our understanding of the diverse elements and mechanisms at play. The acquisition of this invaluable knowledge can be effectively employed to enlighten organizational strategies and policies, with the ultimate objective of cultivating an atmosphere that is conducive to innovation and intrapreneurial triumph within the swiftly evolving telecommunications sector of Jordan.

Investor behavior is an intriguing affair and has been investigated by many social scientists and scholars. The disciple is still fecund and has scope for further empirical examination. The study aimed to examine the relationship that Orientation toward finance (ORTOFIN) and perceived financial literacy have with Intention toward investment. The study engaged in quantitative research design. Data was collected randomly online from 210 gainfully employed samples in Saudi Arabia. Structural Equation Modelling was used to analyze the data. Results indicated a significant positive relationship between ORTOFIN, perceived financial literacy, and Intention toward investment. The study discusses the findings and presents the limitations. The scope for further research is also presented. It is expected that the present study will act as a trigger for further research in this fascinating area.

The dynamic behavior of the cylindrical shell can be predicted by more simplified beam models for a wide range of applications. The present paper deals with finding design conditions in which the cylindrical shell performs like a beam. Employing the Hamilton’s principle, the governing equations are obtained using both Donnell-Mushtari and Flugge shell theories and the analytical solution is obtained for long cylinders with simply-supported boundary conditions at both ends. Then, by equalizing the shell and beam vibration frequencies, the shell-to-beam transition conditions are obtained for both theories. To account for the effects of shear distortion and rotatory inertia of the shell, the finite element method is applied to find the best transition conditions with less approximating assumptions. Finally, the effects of boundary conditions on the transition parameters as well as the frequency response are studied. The obtained conditions simply define that if the shell can be assumed as a beam in any specific geometrical and material conditions.

This study was conducted to consider the relationship between the transportation export value (TR) and energy consumption of Thailand (EN) in the long run by a comparative analysis that relied on testing by the ARDL and NARDL models. The Granger causality of each item was also tested by quarterly time series data from Quarter 1 of 2011-Quarter 4 of 2021. The results revealed a long relationship from the EN to TR. However, only the reduction of the TR affected the EN. According to the results, the energy agencies of Thailand should maintain the balance of EN and sufficient energy imports to drive the TR for its stability.

In a bid to discovering novel antibiotics to combat growing trend of multi-drug resistance strains of Salmonella typhi, 48 new pyridine derivatives with significant inhibitory activities against the aforementioned bacterium were subjected to molecular docking against DNA gyrase protease of the bacterium, drug likeness evaluation and pharmacokinetics profiling. All the 48 leads displayed better binding affinity values when compared with Amoxicillin, Ciprofloxacin, Ceftriaxone, Ampicillin, and chloramphenicol, the standard antibiotics used herein for quality assurance. Furthermore, the majority of the compounds were, however, screened out due to their poor pharmacokinetics profiles and drug-likeness. Only five compounds emerged as the most promising leads and they include C4 with binding affinity of -8.0 kcal/mol, C8 (-8.6 kcal/mol), C9 (-8.1 kcal/mol), C26 (-8.3 kcal/mol), and C27 (-8.0 kcal/mol). These compounds not only displayed better binding affinity when compared with the reference antibiotics but also exhibit different modes of interactions with the target protease of the bacterium making them more potent and drug like. Toxicity evaluation of the leads also revealed that the compounds are neither tumorigenic nor mutagenic. In view of the excellent binding affinity, high pharmacokinetics profile and positive drug-likeness of the novel ligands, we recommend these promising compounds for in vitro and in vivo studies in order to discover novel antibiotics that could curb the dangerous trend of multiple drug resistance by Salmonella typhi.

There are many leadership styles, which have different impacts on employees' performance. In higher education, faculty performance depends on many factors including Leadership style & Organizational culture. This study aims to examine the effect of leadership styles on faculty performance (FP) and more specifically to examine the moderating effect of Organizational Culture in the association between leadership styles and faculty performance in higher education institutions (MUET, Jamshoro). This study used quantitative methodology to identify the leadership styles which exist in MUET, Jamshoro, and their impact on faculty performance with organizational culture as moderator. It used both the sampling techniques probability and non-probability, and the sample size was 384 and the data was analyzed in SmartPLS 3. For leadership style, Full Range Leadership Model was adopted and for organizational culture, Competing Value Framework (CVF) was used. This study found that Transformational (TF) leadership has a positive significant relation with faculty performance at MUET, Jamshoro. And Organizational Culture (OC) as moderator negatively moderates the relation between Laissez-faire (LF) leadership and faculty performance (FP). According to faculty, transformational leadership is best suited to promote their performance on account of giving them challenging work, autonomy, mutual trust, through supporting subordinates' creativity, improving their confidence, and maintaining collaborations. Laissez-faire leadership also exists in an academic institution and has a positive impact on faculty performance. However, Transactional leadership has a negative impact on faculty performance. The future study could be conducted in other universities, or a comparison of leadership styles can be made between public and private universities with different models of leadership style and with different organizational culture models.

In this paper, a new period-based approach is proposed for modeling a capacitated inventory system, operating under an (S,T) policy with backlog. The system experiences stochastic discrete demand and lead time. By using the proposed method, a mathematical model is developed. The model can accurately estimate the inventory system measures of performance: the expected inventory on-hands and over-storage amount. Through a simulation experiment, the new model is compared with two other models, which are developed by using a widely used mean-based approach. The comparison is conducted based on a case study data set. The results demonstrate that the period-based model is superior to the mean-based models with respect to capturing the behaviors of the inventory system. Therefore, better inventory policy parameters can be obtained by employing the new model.