The English Proficiency and the Inevitable Resort to Digitalization: A Direction to Follow and Adopt to Guarantee the Success of Women Entrepreneurs in the World of Business and Enterprises

Hanafi, Moulay Driss; Lali, Khalid; Kably, Houda; Chakor, Abdellatif

doi:10.56294/dm202342

Data and Metadata

2023

DOI: 10.56294/dm202342

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The English Proficiency and the Inevitable Resort to Digitalization: A Direction to Follow and Adopt to Guarantee the Success of Women Entrepreneurs in the World of Business and Enterprises

Moulay Driss Hanafi

Khalid Lali

Houda Kably

et al.

Abstract: In this paper, an attempt has been made to highlight the importance of the English language and ICT in the entrepreneurial endeavors of Moroccan women. The development of ICT and the rise of English as the major lingua franca of worldwide business have been followed by a considerable increase in academic interest in a variety of topics connected to language choice and usage in the business and professional sectors. In business, it's important for Moroccan women entrepreneurs to be good at ICT and speak English… Show more

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Cited by 5 publications

References 15 publications

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Development of a Classification Model for Predicting Student Payment Behavior Using Artificial Intelligence and Data Science Techniques

Villarreal-Torres,

Ángeles-Morales,

Marín-Rodriguez

et al. 2023

EAI Endorsed Scal Inf Syst

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Artificial intelligence today has become a valuable tool for decision-making, where universities have to adapt and optimize their processes, improving the quality of their services. In this context, the economic income from collections is vital for sustainability. There are several problems that can contribute to student delinquency, such as economic, financial, academic, family, and personal. For this reason, the study aimed to develop a classification model to predict the payment behavior of enrolled students. The methodology is a proactive, technological study of incremental innovation with a synchronous temporal scope. The study population consisted of 8,495 undergraduate students enrolled in the 2022 - II academic semester, containing information on academic performance, financial situation, and personal factors. The result is a classification model using the H2O.ai platform, discretization algorithms, data balancing, and the R language. Data science algorithms obtained the base from the institution's computer system. The data sets for training and testing correspond to 70% and 30%, obtaining the GBM Grid model whose performance metrics are AUC of 0.905, AUCPR of 0.926, and logLoss equivalent to 0.311; that is, the model efficiently complies with the classification of student debtors to provide them with early intervention service and help them complete their studies.

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Development of a Classification Model for Predicting Student Payment Behavior Using Artificial Intelligence and Data Science Techniques

Villarreal-Torres,

Ángeles-Morales,

Marín-Rodriguez

et al. 2023

EAI Endorsed Scal Inf Syst

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Excessive Use of Mobile Phones and Social Networks Among Colombian University Students

Lis-Gutiérrez,

Zapata-Patarroto

2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: Social networks facilitate interactions among individuals, organizations, and communities. Their usage, especially among young people, has become increasingly widespread. This surge in usage has been linked to various impacts on individuals' daily lives and well-being, particularly in academic and emotional aspects. OBJECTIVES: This study seeks to examine the extent to which excessive use of social networks (SN) contributes to social isolation among undergraduate students aged 18 to 35, residing in the departments of Cundinamarca, Boyaca, and Meta in Colombia. This phenomenon is primarily due to problematic cell phone use. METHODS: We administered two established instruments: the "Mobile Phone Problem Use Scale (MPPUS-10)" adapted by Foerster et al. (2015), and the "Addiction to Social Networks Questionnaire " developed by Escurra & Salas (2014). Statistical analyses included descriptive techniques, multivariate Henze-Zirkler normality test, univariate Shapiro-Wilk test, as well as non-parametric methods such as Spearman's correlation and the Kruskal-Wallis test. RESULTS: Key findings of this study include: (i) the identified intervention and mitigation strategies in the literature predominantly focus on prevention programs and family support with an emphasis on bolstering young people's self-esteem; (ii) 15.46% of the sample exhibited problematic cell phone use, with 25.96% indicating high intensity of social network use; (iii) significant differences were observed in relation to age and geographic location, while gender and socio-economic stratum did not exhibit a statistically significant impact; (iv) the statistical analysis demonstrated a positive and significant relationship with the dimensions of the Escurra & Salas (2014) instrument, namely Interest in Social Media (ISM), concern about lack of control (LC), and Excessive use of SN (EU). CONCLUSION: The Mobile Phone Problem Use Scale (MPPUS-10) emerges as a concise and effective tool for identifying problematic cell phone use, and its association with excessive social network usage underscores the interconnectedness of these behaviours. This research sheds light on the prevalence of these issues among Colombian university students and provides valuable insights for targeted intervention and support strategies, emphasizing the importance of bolstering self-esteem in youth.

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A Multi-Objective Optimization for enhancing the efficiency of Service in Flying Ad-Hoc Network Environment

Nahi,

Al-dolaimy,

Abbas

et al. 2023

EAI Endorsed Scal Inf Syst

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Flying Ad-hoc Network (FANET) is one among the emerging technology and it is used in the huge application of the intelligent communication system. FANETs are combined with multiple Unmanned Aerial Vehicles (UAVs) to control the complex environment. Due to high mobility in FANETs the computation overhead and computation delay of the network is greatly increased that reflects in the reduction of the performance of FANETs. So it becomes very essential to provide effective routing and optimization in FANETs to maintain the stable communication. For that purpose, in this paper Multi-Objective Hybrid Optimization for Quality of Service (QoS) Assisted Flying Ad-Hoc Network (MOHOQ-FANET) approach is proposed with the combination of Ant colony optimization (ACO) and particle swarm optimization (PSO). To achieve effective routing in FANETs, reliability of ad-hoc that depend on demand vector routing (RAODV). In order to perform initial shortest path selection in FANETs, ACO algorithm is utilized. The PSO optimization is applied in FANETs to achieve the best optimal solution between the flying nodes during the time of communication between them. The MOHOQ-FANET technique is implemented using NS2 as the platform. As well as being compared to earlier studies like CSPO-FANET and OSNP-FANET, the performance of the FANETs is assessed using metrics like ratio of packet delivery, host-to-host delay, routing overhead, and network throughput. The outcomes have illustrated, as compared to earlier systems, the proposed MOHOQ-FANET approach delivers high packet delivery ratio and throughput as well as reduced host-to-host delay and routing overhead.

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The English Proficiency and the Inevitable Resort to Digitalization: A Direction to Follow and Adopt to Guarantee the Success of Women Entrepreneurs in the World of Business and Enterprises

Cited by 5 publications

References 15 publications

Development of a Classification Model for Predicting Student Payment Behavior Using Artificial Intelligence and Data Science Techniques

Development of a Classification Model for Predicting Student Payment Behavior Using Artificial Intelligence and Data Science Techniques

Excessive Use of Mobile Phones and Social Networks Among Colombian University Students

A Multi-Objective Optimization for enhancing the efficiency of Service in Flying Ad-Hoc Network Environment

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