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This study aims to explore the association between internet addiction and problem behaviours on social networking sites (SNS) using the general strain theory (Agnew, 1992).

Using the purposive sampling method, a survey was conducted, which collected data from 414 college students studying in two public universities in South Australia. The Delphi method was used to develop the questionnaire used for the survey.

'Results of this research indicated a significant association between internet addiction and problem behaviours on SNS. Respondents who had engaged in problem behaviours on SNS had high internet addiction test scores (Young, 1998). On the basis of this finding, the present research argues that the general strains associated with the suffering of newly emerging challenges such as internet addiction might contribute to victimisation and deviant and problem behaviours on SNS in specific and possibly in cyberspace in general.

Results of the present study need to be interpreted cautiously due to many limitations it has. This research is a cross-sectional study, which might not adequately explain the associations between internet addiction and problem behaviours on SNS. Longitudinal studies involving larger samples might have added significant value to this study. The present study uses purposive sampling technique, which has limited its generalizability, and its findings may not be generalised to large populations.

Limited information is available pertaining to the association between problem behaviours on SNS and internet addiction. The present study is a pioneering effort, which argues that rapid popularity of SNS is likely to increase internet addiction and the frustration of not getting proper treatment for their internet addiction might lead to deviant behaviours on SNS.

The effectiveness of foreign aid, specifically, the role it plays in promoting growth in developing countries, is one of the most debated issues in the field of economics. Despite the enormous resources channeled to developing countries over the past decades, only limited tangible results can be observed. The literature on aid effectiveness is vast. Yet, the results are inconclusive. The purpose of this paper is to examine the impact of economic aid provided by the USA on Egyptian economic growth before the Egyptian Revolution in 2011, more precisely, Mubarak’s era.

The paper uses a vector autoregressive (VAR) model and Granger causality test to answer the question of whether the US Agency for International Development (USAID) has been conductive to growth in Egypt over the period of 1981 to 2010.

The results reveal that USAID has no impact on the Egyptian economic growth.

The recommendations put forward by this paper are measures that Egyptian policymakers can undertake to increase aid effectiveness. These measures include the reduction of corruption, more active participation in delivering aid, greater accountability for aid outcomes and coordination of the activities of aid agencies.

Over a short interval of time (i.e. 2011-2014), Egypt has experienced tectonic political shifts, including the toppling of a long-entrenched dictator, two presidential elections, and a military coup. The purpose of this paper is to provide an analysis of the impact of such events on the country’s equity market behaviour, both in terms of returns and volatility.

The data set is composed of daily stock index closing prices for the overall market and top eight most actively traded sectors. To assess the impact of the considered events on the market and sector returns, an event study approach is applied. On the other hand, a univariate VAR-EGARCH model is employed to explore whether, and to what extent, volatilities at the market and sector levels respond to such events.

The results suggest that political uncertainty has a profound impact on the risk-return profiles of almost all market sectors, with different degrees of intensity. By and large, the price and volatility effects are most pronounced in banks, financial services excluding banks and chemicals sectors, whilst food and beverages as well as construction and materials sectors are found to be the least responsive to these events. The 2013 military coup turns out to be the most pervasive event impinging on the market and sector-specific indices.

The results have a number of practical implications that could be of interest to many parties involved. More specifically, with political dysfunction overshadowing business and investment activities in Egypt, genuine democratic reforms, which entail proper regard for human rights and the rule of law, must have the highest priority of policymakers, in order to secure a positive investment climate and to foster investor confidence. Furthermore, in tandem with considering other relevant factors, multinational companies need to have a thorough assessment of Egypt’s future political course and to develop more robust contingency plans to effectively combat potential threats generated by political vicissitudes.

To the author’s best knowledge, this study is the first attempt to empirically examine the price and volatility effects of the recent presidential events in Egypt, thereby contributing to the relevant literature in this area.

This paper operationalizes insecurity and governance crises to study their effects on stock market response to two political events in Nigeria – the 2015 and 2019 presidential elections.

An event study was used to capture the market responses. Abnormal returns at the aggregate and sectoral levels were measured over several time windows before and after the respective election results were announced.

The market reacted strongly positively to a change in presidency from an incumbent to an opposition party candidate in the 2015 election but weakly positively, at best, to the re-election of the incumbent candidate in the 2019 election. In addition, banking stocks exhibited greater sensitivity to these events than oil and gas stocks.

There may be peculiarities with the Nigerian case and with the two elections analyzed. Therefore, future research could focus on understanding the extent to which the results generalize to the broader sub-Saharan context and other regions that face similar governance challenges.

Understanding that markets may have a different perception towards incumbent versus opposition candidate electoral victories during periods of insecurity and governance crisis is important for investors, policymakers, researchers and the wider society.

Past empirical studies on political events and stock returns in Sub-Saharan Africa contexts such as Nigeria ignore shifts in voter mood and produce contradictory findings. This paper helps to resolve some of these contradictions by providing insight into how the markets can have a different perception towards incumbent and opposition candidate electoral victories during periods of insecurity and governance crisis.

This paper aims to propose an approach for hate speech detection against politicians in Arabic community on social media (e.g. Youtube). In the literature, similar works have been presented for other languages such as English. However, to the best of the authors’ knowledge, not much work has been conducted in the Arabic language.

This approach uses both classical algorithms of classification and deep learning algorithms. For the classical algorithms, the authors use Gaussian NB (GNB), Logistic Regression (LR), Random Forest (RF), SGD Classifier (SGD) and Linear SVC (LSVC). For the deep learning classification, four different algorithms (convolutional neural network (CNN), multilayer perceptron (MLP), long- or short-term memory (LSTM) and bi-directional long- or short-term memory (Bi-LSTM) are applied. For extracting features, the authors use both Word2vec and FastText with their two implementations, namely, Skip Gram (SG) and Continuous Bag of Word (CBOW).

Simulation results demonstrate the best performance of LSVC, BiLSTM and MLP achieving an accuracy up to 91%, when it is associated to SG model. The results are also shown that the classification that has been done on balanced corpus are more accurate than those done on unbalanced corpus.

The principal originality of this paper is to construct a new hate speech corpus (Arabic_fr_en) which was annotated by three different annotators. This corpus contains the three languages used by Arabic people being Arabic, French and English. For Arabic, the corpus contains both script Arabic and Arabizi (i.e. Arabic words written with Latin letters). Another originality is to rely on both shallow and deep leaning classification by using different model for extraction features such as Word2vec and FastText with their two implementation SG and CBOW.

The purpose of this paper is to investigate the effect of service quality toward public satisfaction and public trust on local government in Indonesia.

A quantitative approach was used to achieve the objectives of the study. The study consisted of nine exogenous variables and one endogenous variable. The exogenous variables were delivery, timeliness, information, professionalism, staff attitude, organizational politics, internal roles, external roles and citizen satisfaction, while the endogenous variable was public trust toward the regional government. The samples were taken using two sampling methods, cluster sampling technique and proportional stratified random sampling technique. The cluster sampling was institutional sample in which the researchers selected 2 out of 11 regencies in West Sumatra, and 2 out of 7 cities in West Sumatra. The regencies were Pasaman Barat and Tanah Datar and the cities were Padang Panjang and Padang. In the lower level, there were ten nagari and ten lurah. On the second stage, the sample was selected using the proportional stratified random sampling technique that had been set at the first stage. Slovin formula with 2 percent of errors was used to determine the number of samples. The total respondents in this study were 4,177 respondents.

The hypothetical model can be used as a new model for public service that was provided by the local governments (cities and districts) and it was able to increase citizen satisfaction and citizen trust with local government, especially in the basic need services such as education and health as described in Figure 1. In order to increase public satisfaction on the basic needs, such as education and health services, regional government should improve delivery, timeliness of service, availability of information, staff professionalism, staff attitude, external and internal roles of manager and at the same time minimize organizational politics within the local government. Furthermore, it is also evident in this model that increasing public satisfaction on basic services can increase public confidence toward regional government. The finding that shows the novelty of this research is the internal and external role of managers in improving public satisfaction and trust in regional government. Meanwhile, the addition of internal political as variable is a development to improve the existing models.

Regional government should reconstruct their basic public service in order to meet need of the public. No previous study has comprehensively studied the relationship between interaction quality, physical environmental quality, and outcome quality to public satisfaction and its implication to public trust, especially in Indonesia.

The purpose of this paper is to design a double parabolic nozzle and to compare the performance with conventional nozzle designs.

The throat diameter and divergent length for Conical, Bell and Double Parabolic nozzles were kept same for the sake of comparison. The double parabolic nozzle has been designed in such a way that the maximum slope of the divergent curve is taken as one-third of the Prandtl Meyer (PM) angle. The studies were carried out at Nozzle Pressure Ratio (NPR) of 5 and also at design conditions (NPR = 3.7). Experimental measurements were carried out for all the three nozzle configurations and the performance parameters compared. Numerical simulations were also carried out in a two-dimensional computational domain incorporating density-based solver with RANS equations and SST k-ω turbulence model.

The numerical predictions were found to be in reasonable agreement with the measured experimental values. An enhancement in thrust was observed for double parabolic nozzle when compared with that of conical and bell nozzles.

Even though the present numerical simulations were capable of predicting shock cell parameters reasonably well, shock oscillations were not captured.

The double parabolic nozzle design has enormous practical importance as a small increase in thrust can result in a significant gain in pay load.

The thrust developed by the double parabolic nozzle is seen to be on the higher side than that of conventional nozzles with better fuel economy.

The overall performance of the double parabolic nozzle is better than conical and bell nozzles for the same throat diameter and length.

The purpose of the research is to analyze the factors that determine the intention of small- and medium-sized enterprises (SMEs) to adopt the Metaverse. For this purpose, the analysis of the effort expectancy and performance expectancy of the constructs in relation to business satisfaction is proposed.

The analysis was performed on a sample of 182 Spanish SMEs in the technology sector, using a PLS-SEM approach for development. For the confirmation of the model and its results, an analysis with PLSpredict was performed, obtaining a high predictive capacity of the model.

After the analysis of the model proposed in this research, it is recorded that the valuation of the effort to be made and the possible performance expected by the companies does not directly determine the intention to use immersive technology in their strategic behavior. Instead, the results obtained indicate that business satisfaction will involve obtaining information, reducing uncertainty and analyzing the competition necessary for approaching this new virtual environment.

The study represents one of the first approaches to the intention of business behavior in the development of performance strategies within Metaverse systems. So far, the literature has approached immersive systems from perspectives close to consumer behavior, but the study of strategic business behavior has been left aside due to the high degree of experimentalism of this field of study and its scientific approach. The present study aims to contribute to the knowledge of the factors involved in the intention to use the Metaverse by SMEs interested in this field.

The purpose of this paper is to examine the relevance of the bank lending channel (BLC) of monetary policy and the bank efficiency in Egypt.

This paper examines the effectiveness of bank lending channel using generalized method of moments GMM model during the period from 1996 to 2014. Also, it uses stochastic frontier approach (SFA) to examine the bank efficiency in Egypt.

This study supports the relevance of the BLC using panel data. Moreover, applying SFA, this paper computes cost efficiency taking account of both time and country effects directly. The finding suggests that banks with low inflation and high GDP tend to perform more efficiently.

The limitation of the study is examining one country only.

The finding signals that the Central Bank of Egypt (CBE) should adjust interest rate in order to stabilize the bank loan supply.

It is important for the CBE and Egyptian banks because it highlights the importance of BLC.

It examines one channel of monetary policy and bank efficiency in Egypt.

The purpose of this paper is to study the impact of transparency on the political budget cycle (PBC) over time and across countries. So far, the literature on electoral cycles finds evidence that cycles depend on the stage of an economy. However, the author shows – for the first time – a reliance of the budget cycle on transparency. The author uses a new data set consisting of 99 developing and 34 Organization for Economic Cooperation and Development countries. First, the author develops a model and demonstrates that transparency mitigates the political cycles. Second, the author confirms the proposition through the econometric assessment. The author uses time series data from 1970 to 2014 and discovers smaller cycles in countries with higher transparency, especially G8 countries.

Mathematical model and a respective econometric model testing.

First, the author shows in the theoretical model that higher transparency mitigates the PBC. Second, the author confirms the theoretical proposition through the econometric model. The author confirms that the countries with higher transparency have smaller budget cycles. Or technically, the author cannot reject the null-hypothesis that the budget cycles are different due to transparency.

As explained in the paper: one issue is the data limitations in respect to the transparency measures. Data for Google are just available since 2004. Data for broadband-subscription are just on annual frequency. But both limitations can be tackled in the future. Hence, the findings are first evidence and a benchmark for future studies.

First, higher public transparency implies smaller budget cycles. In the end, this enhances the stability of economic and fiscal policy. Second, policy-makers have to consider the impact of higher transparency in respect to future election pledges. In a more transparent world, all voters can easily check the commitment of previous election pledges.

Transparency helps to improve democracy and thus enhances the political credibility because it allows the voters to check the commitment of the elected policy-makers.

First, the author shows – for the first time – a reliance of the budget cycle on transparency. Second, the author is the first that build a new theoretical model that extends the existing literature in respect to transparency and the size of the budget cycle. Third, the author uses for the first time – in this literature – new internet-based data such as broadband-subscription and Google search data. Fourth, the author empirically proves the new hypothesis based on the new data sources.