A Hybrid Data-Driven Web-Based UI-UX Assessment Model

Today, a large proportion of end user information systems have their Graphical User Interfaces (GUI) built with web-based technology (JavaScript, CSS, and HTML). Some of these web-based systems include: Internet of Things (IOT), Infotainment (in vehicles), Interactive Display Screens (for digital menu boards, information kiosks, digital signage displays at bus stops or airports, bank ATMs, etc.), and web applications/services (on smart devices). As such, web-based UI must be evaluated in order to improve upon its ability to perform the technical task for which it was designed. This study develops a framework and a processes for evaluating and improving the quality of web-based user interface (UI) as well as at a stratified level. The study develops a comprehensive framework which is a conglomeration of algorithms such as the multi-criteria decision making method of analytical hierarchy process (AHP) in coefficient generation, sentiment analysis, K-means clustering algorithms and explainable AI (XAI)

Assessing the Effect of e-Government Initiatives on Business Activities

Quality public service delivery in today’s modern era of businesses springing up all around the globe is essential to business development and success. Governments are realizing the benefit of implementing e-Government initiatives in order to reduce administrative burden on corporations as well as SMEs and entrepreneurs. By providing e-registration, e-procurement and e-taxation portals for firms to carry out their various business processes. This study by adopting univariate simple correlation, granger-causality and Bayesian networks analyzes the top three and bottom three performing countries from the United Nations’ e-Government 2016 survey and their respective World Bank Doing Business 2016 indicators, i.e. Starting a Business and Paying Taxes, to assess the relationship. Thus proving that e-Government implementations are pertinent to successful business processes precisely starting a business and paying of taxes

An e-Policing Model for the Ghana Police Service

The proliferation of big data and data mining techniques in the world of business have yielded and continue to yield benefits across the globe as corporations have begun to realize its potential in boosting business growth, increasing competitive advantage, improving the efficiency of internal operations, optimizing productivity, providing better service and improving the quality of products. Therefore, data is today seen as an important commodity in giving any business its competitive edge. The same ideology has been discovered by police services in some countries as a means of improving policing and boosting police efficiency. This study assesses the level of policing in Ghana and the use of information technology, big data and data analytics in fighting crime, crime prevention and improving policing tactics. The concept of predictive policing and integration of big data and data mining in fighting crime is presented by proposing an e-policing model as a potentially impactful complement to the traditional policing methodologies of the Ghana Police Service (GPS)

The role of e-government systems in ensuring government effectiveness and control of corruption

E-government systems are a part of the general process of digital transformation in the public sector: countries with efficient e-government manage to reduce the administrative burden on private citizens and businesses and to improve government performance, transparency and accountability. This article brings to light the connection between the development of e-government systems and such factors as the rule of law and control of corruption. The study relies on a path model, which was built and statistically tested by using linear regression analysis to authenticate the veracity of the model’s components. The model uses three indicators adopted from the World Bank’s Governance Indicator project – the rule of law, control of corruption, and government effectiveness. The data to measure the e-Government Development Index (EGDI) in fifteen countries was provided by the e-Government 2016 Survey conducted by the United Nations. The findings reveal a positive complementary relationship between the rule of law in a country and the development of an e-government system, which enhances the government’s effectiveness. The article describes a shift towards a more citizen-centric e-government implementation strategy, which can be recommended in particular to policy-makers in developing economies. The proposed model can be recommended as a measurement tool to assess effective governance in any given country

Data-driven E-Government: Exploring the Socio-Economic Ramifications

The evident benefits of big data, artificial intelligence and machine learning in society have begun to influence the transition towards a data-driven public sector. Decision-making in the public sector is in an infancy phase of a revolution owing to the inclusion of these new technological innovations. Research has revealed that data-driven e-government policies improve socio-economic development in some nations. Despite the immense opportunities data-driven e-government models have for governments, similar to every system, there are ramifications. This study explores the concept of data-driven e-government as well as investigates the socio-economic implications such an e-government model can have on society. Findings of this exploratory study add insight into a field which is in its early days and still unfocused, as well as making recommendations for policymakers

PROSPECTS FOR THE DEVELOPMENT OF THE GLOBAL MARKET UNDER THE INFLUENCE OF GENERATIONS Y AND Z

This article is devoted to the analysis of the world market, trends in 2020. The influence of generations on the development of the market of marketing, banks, IT services is considered. Potential business segments for investing and choosing company development strategies

Investigating environmental quality among G20 nations: The impacts of environmental goods and low-carbon technologies in mitigating environmental degradation

Environmental goods and low-carbon technologies have long been identified as having the potential to drive long-term economic progress without compromising environmental quality. However, their exact role in mitigating environmental degradation are yet to be unravelled. In addressing this shortfall, the extant literature relied on research funding and patent application as proxies for green technologies. Having established the weaknesses in the use of these variables as proxies for green technologies, this study explored the role of trade in environmental goods and low-carbon technologies in boosting environmental quality among G20 nation using a panel dataset from 1994 to 2018. The study employed the Method of Moment quantile regression for the model estimation and the Ridge regression, Discroll-Kraay standard error, and the Newey-West standard error estimators to test the robustness of our findings. Our findings indicate that whereas environmental goods promote environmental quality, low-carbon technologies decrease same. Also, the study found economic growth to exert an aggravating effect on environmental quality, while foreign direct investments, natural resource rents, human capital development, and renewable energy consumption exert positive influence on environmental quality. Based on the findings of the study, G20 nations are encouraged to improve green market structures to improve the trade in environmental goods and low-carbon technologies. Also the share of renewable energy sources in the overall energy basket must be improved to help improve environmental quality

Assessing the Global Drivers of Sustained Economic Development: The Role of Trade Openness, Financial Development, and FDI

Achieving economic development is one of the most important economic goals of every country. Identifying the determinants of economic growth, is a useful tool for adopting appropriate economic policies. This study, therefore, empirically examines the impact of trade openness, foreign direct investment, and financial development on economic growth, across 62 countries over the period 1995–2016. These countries are divided into two groups: low-income and high-income countries. We employ the pooled mean group (PMG), mean group (MG), and dynamic fixed effect (DFE) estimation techniques on the cross-country panel data. The findings show a positive long run association between trade openness, foreign direct investment (FDI), financial development, labor, government expenditure, and economic growth in low-income countries, with a positive and negative short run effect from capital and government expenditures, respectively. For high-income countries, a positive long run association between trade openness, FDI, capital, and economic growth exist. The short run estimates indicate a positive effect on trade openness and capital as well as a negative effect on government expenditure. Our study shows that the adoption of policies that improves access to skilled labor and international trade, affect the attainment of a sustainable economic development