Chafik Bouhaddioui

United Arab Emirates University | UAEU · Department of Statistics

How, in a business, is intention to adopt digital technology shaped by early and recent digitalization and by embeddedness in socio-temporal contexts? A representative sample of 8,031 businesses in Spain and non-European Colombia, Egypt, Iran, Israel, Morocco, Sudan, Turkey, and United Arab Emirates, was surveyed in 2021. Intention to adopt digita...

Distance learning has been adopted as an alternative learning strategy to the face-to-face teaching methodology. It has been largely implemented by many governments worldwide due to the spread of the COVID-19 pandemic and the implication in enforcing lockdown and social distancing. In emergency situations distance learning is referred to as Emergen...

How are exports shaped by digitalization? Scholars debate a global digital divide that impacts internationalization. The pandemic disrupted exports, so the pandemic provides opportunity to examine digitalization as a tool for recovery of exports. Analysis of 47 sampled countries shows that wealth, especially in the West, facilitated early digitaliz...

A business may adopt a strategy for sustainability and may implement its strategy in its practice. Our question is, how are strategy and practice coupled and shaped by entrepreneurs and businesses embedded in national eco-systems in the Middle East and North Africa and around the world? Businesses were randomly sampled and surveyed in 2021, and nat...

It is well known that entrepreneurship plays a key role in economic development; however, its cultural underpinnings remain a marginal field of study. This paper is an attempt to fill this gap. The development trend of the oil-rich United Arab Emirates (“UAE”) is at the heart of debates surrounding the effects of culture on economic choices and out...

Big Data is an essential research area for governments, institutions, and private agencies to support their analytics decisions. Big Data refers to all about data, how it is collected, processed, and analyzed to generate value-added data-driven insights and decisions. Degradation in Data Quality may result in unpredictable consequences. In this cas...

Proton exchange membrane fuel cell (PEMFC) is the most common type of fuel cell because of its many advantages over other renewable energy sources and other fuel cell types. The PEMFC is used for power and electric vehicle applications. Static and dynamic characteristics are of vital importance; the PEMFC has been modeled in numerous research using...

Assessing trust of cloud providers is considered to be a key factor to discriminate between them, especially once dealing with Big Data. In this paper, we apply Multiple Linear Regression (MLR) to develop a trust model for processing Big Data over diverse Clouds. The model relies on MLR to predict trust score of different cloud service providers. T...

— Data is the most valuable asset companies are proud of. When its quality degrades, the consequences are unpredictable and can lead to complete wrong insights. In Big Data context, evaluating the data quality is challenging and must be done prior to any Big data analytics by providing some data quality confidence. Given the huge data size and its...

Confidence intervals based on the harmonic mean method are proposed for estimating the ratio of variance components and/or the intraclass correlation coefficient (ρ) in unbalanced one-way random models without the normality assumptions. Since the proposed procedure is heavily dependent on the estimation of the kurtosis of the underlying distributio...

The paper proposes new procedures for diagnostic checking of fitted models under the assumption of infinite-variance errors which are in the domain of attraction of a stable law. These procedures are functional of residual-based empirical processes. First, the asymptotic distributions of the empirical processes based on residuals are derived. Then...

We propose a semi-parametric approach for testing orthogonality and causality between two infinite-order co-integrated vector auto-regressive IVAR(1) series. The procedures considered can be viewed as extensions of classical methods proposed by Haugh (1976, JASA) and Hong (1996, Biometrika) for testing independence between stationary univariate tim...

We propose two approaches for testing non-correlation between the innovations of two nonstationary possibly cointegrated vector processes, in the general case where the processes have infinite-order autoregressive representations. The first approach is based on cross-correlation matrices, while the second approach uses partial cross-correlation mat...

In many situations, we want to verify the existence of a relationship between multivariate time series. Here, we propose a semiparametric approach for testing the independence between two infinite-order vector autoregressive (VAR(infinity)) series, which is an extension of Hong's [Biometrika (1996c) vol. 83, 615-625] univariate results. We first fi...

Here we derive the asymptotic distribution of an arbitrary vector of residual cross-correlations resulting from the fitting of finite autoregressions to two uncorrelated infinite order vector autoregressive series. Its asymptotic distribution is the same multivariate normal as the one of the corresponding vector of cross-correlations between the tw...

Here we derive the asymptotic distribution of an arbitrary vector of residual cross-correlations resulting from the fitting of finite autoregressions to two uncorrelated infinite order vector autoregressive series. Its asymptotic distribution is the same multivariate normal as the one of the corresponding vector of cross-correlations between the tw...