A5028105660- Organizational and Employee Performance
- Global trade and economics
- Global Trade and Competitiveness
- Human Mobility and Location-Based Analysis
- FinTech, Crowdfunding, Digital Finance
- Impact of AI and Big Data on Business and Society
- Smart Cities and Technologies
- Technology-Enhanced Education Studies
- Smart Systems and Machine Learning
- Software Engineering Techniques and Practices
- Financial Distress and Bankruptcy Prediction
- Outsourcing and Supply Chain Management
- Software Engineering Research
- Technology Adoption and User Behaviour
- ICT Impact and Policies
- Imbalanced Data Classification Techniques
- Big Data and Business Intelligence
- Monetary Policy and Economic Impact
- Supply Chain Resilience and Risk Management
- Economic Growth and Development
- Traffic Prediction and Management Techniques
- International Business and FDI
- IoT-based Smart Home Systems
- Income, Poverty, and Inequality
- Online Learning and Analytics
Skyline University College
2022-2024
Smart cities have been developed over the past decade, and reducing traffic congestion has top concern in smart city development. Short delays communication between vehicles Roadside Units (RSUs), smooth flow, road safety are key challenges of Intelligent Transportation Systems (ITSs). The rapid upsurge number increased accidents. To fix this issue, Vehicular Networks (VNs) many new ideas, including vehicular communications, navigation, control. Machine Learning (ML) is an efficient approach...
There are different kinds of insurances, but the most saturated is medical (life) insurance domain. As a vast population invests in health insurance, it hard to keep track trends. The ineffective analysis data results cost overruns and inequity, making its access difficult. need critically analyze make an policy that well adapted geographical financial statuses insurers. This study aims predict suitable costs based on patient's biological demographic factors by using Machine Learning...
The less-developed Countries (LDC's) depend mainly upon the economy's agriculture. It is a vital and dynamic element of employment, growth, source empowerment. Pakistan not an exception in this case, being agrarian economy, it also depends on agriculture for its national income employment generation. findings reveal that women who participate agricultural sector rural Punjab Sindh are more empowered than other regions. empirical analysis supports independent family planning. However,...
Work addiction is an obsession with work distinguished by a compulsive mindset, whereas engagement reflects positive, fulfilling work-related state. This study examines the distinctions between and their relationship job performance among 168 bank employees in Egypt. A quantitative approach was employed, utilizing 4-point Likert-scale survey measuring (Dutch Workaholism Scale), (Utrecht Engagement Scale) performance. Data analysis conducted using of variance (ANOVA), t -tests regression...
This study analyzed the long-run neutrality of money supply and exchange rate on Pakistan's agricultural prices using Least Square Estimator (LSE) Johansen & Jusileius from 1975 to 2016. The result shows that rate's does not hold in long run. Simultaneously, coefficient is insignificant run, emphasizing money. Some unobservable factors such as demand are empirically included model, showing those influenced by other elements short Therefore, suggests monetary authorities can control through...
Requirement change management plays an important role in the business world where scenario is a hard-hitting assignment because of continuously changing customer choices respect requirements. Giving no attention to requirement challenges result consumers' discontent. Main cause products that there planning regarding management. Furthermore, it also affects market value. Dealing management, it's far cope with those undertake consumers. This article focuses on documentation and control quality...
The research investigated the implementation of e-financial services by customers in UAE utilizing Unified Theory Acceptance and Use Technology 2 (UTAUT2) framework. Analyzing data from a rigorous online survey 585 customers, study explores causes that effect intention actual usage services. empirical reveal considerable direct influences Performance Expectancy (PE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV), Habit on customers' tendency...
A framework of decision support system for effective resource management typically includes the Data Collection (Gathering relevant data on resources, such as availability, capacity, and utilization), Analysis (Analyzing collected to identify trends patterns in Modelling (Developing mathematical models allocation decision-making), Optimization (Finding most efficient way allocate resources meet project requirements), Visualization (Presenting results analysis optimization a clear concise...
Given the status of cybersecurity today, it seems natural that researchers are seriously considering how artificial intelligence may help breakthroughs in conventional techniques. Some issues linked to have been mitigated by various technical developments. The use Big Data, Blockchain technology, and behavioral analytics, mention a few, can make these possible financial sector. In order measure factors assist eliminating cyber security technology this research was conducted. An empirical...
Teaching is a skill. It significant to be aware of or enquiring how express this Teacher must have fully grasped his art teaching. He know the psychology, mental and emotional distorting elements students deal with in all situations accordingly. Learning disability not big difficulty harder-ship can achieve easily by developing interest motivating introducing some new updated tools methodologies like Thoth, SELFA, FLUTE, JFLAP, FLAP, Java Finite Automata, Deus Ex Machina (DEM) homework...
Several firms have had financial challenges in recent years as a result of the sluggish economic growth over last decade. Financial institutions, fund managers, debtors, governments, and stakeholders would greatly benefit from machine learning framework for bankruptcy forecasting. A debtor can be identified person or business through process. In order to minimize losses, it is essential determine risk insolvency at early phase. With this mind, several soft computing methods may utilized...