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Article
Publication date: 2 July 2020

Emna Ben-Abdallah, Khouloud Boukadi, Mohamed Hammami and Mohamed Hedi Karray

The purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.

Abstract

Purpose

The purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.

Design/methodology/approach

propose a comprehensive knowledge base composed of interconnected Web Ontology Language, namely, modular ontology for cloud service opinion analysis (SOPA). The SOPA knowledge base will be the basis of context-aware cloud service analysis using consumers' reviews. Moreover, the authors provide a framework to evaluate cloud services based on consumers' reviews opinions.

Findings

The findings show that there is a positive impact of personalizing the cloud service analysis by considering the reviewers' contexts in the performance of the framework. The authors also proved that the SOPA-based framework outperforms the available cloud review sites in term of precision, recall and F-measure.

Research limitations/implications

Limited information has been provided in the semantic web literature about the relationships between the different domains and the details on how that can be used to evaluate cloud service through consumer reviews and latent opinions. Furthermore, existing approaches are lacking lightweight and modular mechanisms which can be utilized to effectively exploit information existing in social media.

Practical implications

The SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.

Originality/value

The SOPA ontology is capable of representing the content of a product/service as well as its related opinions, which are extracted from the customer's reviews written in a specific context. Furthermore, the SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.

Details

Online Information Review, vol. 44 no. 5
Type: Research Article
ISSN: 1468-4527

Keywords

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Article
Publication date: 1 November 2005

Mohamed Hammami, Youssef Chahir and Liming Chen

Along with the ever growingWeb is the proliferation of objectionable content, such as sex, violence, racism, etc. We need efficient tools for classifying and filtering…

Abstract

Along with the ever growingWeb is the proliferation of objectionable content, such as sex, violence, racism, etc. We need efficient tools for classifying and filtering undesirable web content. In this paper, we investigate this problem through WebGuard, our automatic machine learning based pornographic website classification and filtering system. Facing the Internet more and more visual and multimedia as exemplified by pornographic websites, we focus here our attention on the use of skin color related visual content based analysis along with textual and structural content based analysis for improving pornographic website filtering. While the most commercial filtering products on the marketplace are mainly based on textual content‐based analysis such as indicative keywords detection or manually collected black list checking, the originality of our work resides on the addition of structural and visual content‐based analysis to the classical textual content‐based analysis along with several major‐data mining techniques for learning and classifying. Experimented on a testbed of 400 websites including 200 adult sites and 200 non pornographic ones, WebGuard, our Web filtering engine scored a 96.1% classification accuracy rate when only textual and structural content based analysis are used, and 97.4% classification accuracy rate when skin color related visual content based analysis is driven in addition. Further experiments on a black list of 12 311 adult websites manually collected and classified by the French Ministry of Education showed that WebGuard scored 87.82% classification accuracy rate when using only textual and structural content‐based analysis, and 95.62% classification accuracy rate when the visual content‐based analysis is driven in addition. The basic framework of WebGuard can apply to other categorization problems of websites which combine, as most of them do today, textual and visual content.

Details

International Journal of Web Information Systems, vol. 1 no. 4
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 21 November 2008

Mohamed Hammami, Radhouane Guermazi and Abdelmajid Ben Hamadou

The growth of the web and the increasing number of documents electronically available has been paralleled by the emergence of harmful web pages content such as…

Abstract

Purpose

The growth of the web and the increasing number of documents electronically available has been paralleled by the emergence of harmful web pages content such as pornography, violence, racism, etc. This emergence involved the necessity of providing filtering systems designed to secure the internet access. Most of them process mainly the adult content and focus on blocking pornography, marginalizing violence. The purpose of this paper is to propose a violent web content detection and filtering system, which uses textual and structural content‐based analysis.

Design/methodology/approach

The violent web content detection and filtering system uses textual and structural content‐based analysis based on a violent keyword dictionary. The paper focuses on the keyword dictionary preparation, and presents a comparative study of different data mining techniques to block violent content web pages.

Findings

The solution presented in this paper showed its effectiveness by scoring a 89 per cent classification accuracy rate on its test data set.

Research limitations/implications

Many future work directions can be considered. This paper analyzed only the web page, and an additional analysis of the visual content can be one of the directions of future work. Future research is underway to develop effective filtering tools for other types of harmful web pages, such as racist, etc.

Originality/value

The paper's major contributions are first, the study and comparison of several decision tree building algorithms to build a violent web classifier based on a textual and structural content‐based analysis for improving web filtering. Second, showing laborious dictionary building by finding automatically discriminative indicative keywords.

Details

International Journal of Web Information Systems, vol. 4 no. 4
Type: Research Article
ISSN: 1744-0084

Keywords

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Article
Publication date: 7 June 2013

Mouna Feki, Hédia Hannachi, Moez Bou Ali, Haytem Hamrouni, Elvira Romano, Boubaker Karray and Mohamed Hammami

The purpose of this paper is to build a class model to confirm the authenticity of olives from Bi'r al Malluli, Tunisian region, in order to obtain the Designation of Origin (DO).

Abstract

Purpose

The purpose of this paper is to build a class model to confirm the authenticity of olives from Bi'r al Malluli, Tunisian region, in order to obtain the Designation of Origin (DO).

Design/methodology/approach

In total, ten orchards of Chemlali olive oil variety were chosen, in Sfax region, characterized by the same applied cultural techniques. Pomological characters of olives, fatty acids composition and organoleptic analysis of olive oil were conducted.

Findings

Results showed that the pomological characters were specific of the Chemlali variety: the olive weight ranged from 0.9 to 1.10 g in all studied orchards and the water content (WC) ranged from 41.45 to 57.68 per cent. All analysed oils showed good fatty acids balance. Chemlali olive oil contains high amounts of oleic acid and a smaller amount of linoleic acid. The oleic acid content ranged from 57.96 to 63.52 per cent according to the orchards. All oils having oleic acid higher than 55 per cent are categorized as extra virgin olive oil based on International Olive Oil Council (IOOC) Norma. Based on the organoleptic analysis, all the analysed oils were classified as an extra virgin olive oil. The principal component analysis applied separately on olive characters and fatty acids contents do not indicate any group's structure.

Originality/value

An objective approach based on pomologic, sensory and acidic composition analyses would be used to delimitate Protected Designation of Origin (PDOs) in olive oil from the Bi'r al Malluli area and better protect their markets.

Details

British Food Journal, vol. 115 no. 6
Type: Research Article
ISSN: 0007-070X

Keywords

Content available
Article
Publication date: 21 November 2008

Ismail Khalil

Abstract

Details

International Journal of Web Information Systems, vol. 4 no. 4
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 2 May 2017

Mohamed Chakib Kolsi

The purpose of this paper is to identify the factors affecting firm voluntary disclosure policy adopted by a sample of 25 UAE companies listed on the Abu Dhabi Securities…

Abstract

Purpose

The purpose of this paper is to identify the factors affecting firm voluntary disclosure policy adopted by a sample of 25 UAE companies listed on the Abu Dhabi Securities Exchange (ADX) for the period 2010-2014.

Design/methodology/approach

The author computes a weighted disclosure index (Botosan, 1997) for three-factor voluntary disclosure items and uses a multivariate regression analysis between disclosure index and a set of explanatory variables identified by previous research. The author also controls for endogeneity problem and uses panel data estimation.

Findings

It has been found that listing history, governmental sector, firm profitability and foreign listing positively affect the level of voluntary disclosure adopted by ADX listed companies. By contrast, the percentage of shares owned by block holders and industrial sector negatively affect the level of voluntary disclosure by ADX listed companies. Finally, the board and firm size, managers’ stock options and the leverage ratio do not have any impact on the level of voluntary disclosure adopted by ADX firms. The results remain unchanged to additional sensitivity checks.

Research limitations/implications

The research presents some limitations: first, the author does not take into account all voluntary disclosure items such as human resources and environmental data disclosed by ADX listed firms. Second, other voluntary disclosure determinants remain unexplored for UAE firms such as culture and tax incentives in the light of the new tax rules including corporate tax and value-added tax.

Practical implications

The study has many implications: first, it can help investors in their decision making and lead to fair allocation of resources. Second, it gives helpful directives to UAE accounting authorities to enhance the quality of financial reporting in the light of the New Commercial Company Law 2015 for mandatory adoption of IFRS by all listed companies. The paper also presents helpful directives for tax authorities planning for both company and value-added taxes. It also sheds light on factors driving corporate social responsibility disclosures as a crucial component of voluntary disclosure policy

Originality/value

The paper explores the new determinants of voluntary disclosure such as foreign listing, governmental status and block holding for an emerging relatively unexplored stock market: ADX.

Details

Journal of Accounting in Emerging Economies, vol. 7 no. 2
Type: Research Article
ISSN: 2042-1168

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Article
Publication date: 15 November 2011

Soufien Essahbi, Emmanuel Perry‐Debain, Mohamed Haddar, Lotfi Hammami and Mabrouk Ben Tahar

The purpose of this paper is to present the extension of plane wave based method.

Abstract

Purpose

The purpose of this paper is to present the extension of plane wave based method.

Design/methodology/approach

The mixed functional are discretized using enriched finite elements. The fluid is discretized by enriched acoustic element, the structure by enriched structural finite element and the interface fluid‐structure by fluid‐structure interaction element.

Findings

Results obtained show the potentialities of the proposed method to solve a much larger class of wave problems in mid‐ and high‐frequency ranges.

Originality/value

The plane wave based method has previously been applied successfully to finite element and boundary element models for the Helmholtz equation and elastodynamic problems. This paper describes the extension of this method to the vibro‐acoustic problem.

Details

Multidiscipline Modeling in Materials and Structures, vol. 7 no. 4
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 9 August 2011

Mondher Wali, Moez Abdennadher, Tahar Fakhfakh and Mohamed Haddar

The purpose of this paper is to analyse the dynamic behaviour of an elasto‐plastic sandwich subjected to low velocity impact.

Abstract

Purpose

The purpose of this paper is to analyse the dynamic behaviour of an elasto‐plastic sandwich subjected to low velocity impact.

Design/methodology/approach

A numerical model is developed with the assumption that the plastic deformation is confined under the contact area. The structure is analyzed using the in‐house finite element code with an appropriate contact law. During the impact progression, two phases (elastic and plastic) related to the impact intensity are considered in the dynamic model. The proportional viscous damping is incorporated in the model. An elasto‐plastic impact algorithm is established to determine the impact force, the sandwich structure displacement and indentation.

Findings

The numerical results are validated by experimental dropping weight impact tests. The influences of the impactor radius, the core material variation and the impactor initial velocity on the dynamic behaviour of the impacted structure are studied.

Originality/value

In order to study the low velocity impact problems by considering the caused plastic deformations, a simple numerical elasto‐plastic impact model of sandwich structure is proposed.

Details

Multidiscipline Modeling in Materials and Structures, vol. 7 no. 2
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 18 November 2019

Anna Dimitrova, Tim Rogmans and Dora Triki

This paper aims to synthesize, analyze and categorize the empirical literature on country-specific factors that affect foreign direct investment (FDI) inflows to the…

Abstract

Purpose

This paper aims to synthesize, analyze and categorize the empirical literature on country-specific factors that affect foreign direct investment (FDI) inflows to the Middle East and North Africa (MENA) region. Identifying gaps and methodological challenges in the reviewed articles, recommendations are made to guide future research.

Design/methodology/approach

Applying the systematic review methodology, content analysis is conducted of 42 relevant empirical studies that explore country-specific FDI determinants in the MENA region during the period 1998–2018.

Findings

This review study identifies four main research gaps in the extant literature: a lack of consensus on a common definition of the MENA region and a weak understanding of the specificities of its investment environment; a limited set of FDI theories used and a lack of other theoretical perspectives; a recurrent focus on the direct relationship between host country–specific determinants and FDI, thus ignoring the moderating and mediating effects of some variables; and the absence of certain country-specific factors pertaining to the MENA countries.

Originality/value

This study contributes to the international business field by enhancing our understanding of the FDI determinants in emerging and developing markets, especially the MENA countries. It develops a typology of FDI country-specific factors in the MENA region based on four main categories: macroeconomic and financial, institutional and regulatory, natural resource endowment and socio-cultural. Paths for future research are suggested.

Details

Multinational Business Review, vol. 28 no. 1
Type: Research Article
ISSN: 1525-383X

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Article
Publication date: 13 August 2018

Anna Dimitrova and Dora Triki

Following the Arab Spring turmoil, Middle East and North African (MENA) countries’ overall instability has significantly increased which resulted in the decrease of…

Abstract

Purpose

Following the Arab Spring turmoil, Middle East and North African (MENA) countries’ overall instability has significantly increased which resulted in the decrease of foreign direct investment (FDI) flows. The purpose of this paper is to contribute to the research on determinants of FDI inflows to the MENA region by examining the relationship between state fragility and FDI.

Design/methodology/approach

A panel data analysis was conducted to study the impact of Fragile States Index (FSI) and its components, namely economic, social and political/military state fragility, on FDI inflows to seven MENA countries situated in the Southern and Eastern Mediterranean (SEMED) region over the period 2006-2016.

Findings

The results show that the increase of political state fragility deters FDI inflows to SEMED countries. By contrast, their economic and social state fragilities are insignificant for FDI. This could be explained by the fact that investors are usually attracted by government stability and a strong investment profile.

Research limitations/implications

Given the fact that previous research has not yet validated FSI as a new FDI determinant, the results should be interpreted with some caution. It may also be worth examining the impact of FSI on FDI by industry sector in future studies.

Practical implications

The results reveal that FSI could help MNEs investing in the MENA region assess and better manage the economic, social and political/military risks they face.

Originality/value

This study introduces a new FDI determinant and stresses the importance of state fragility in attracting FDI.

Details

Management Decision, vol. 56 no. 8
Type: Research Article
ISSN: 0025-1747

Keywords

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