Research Reports

Permanent URI for this collectionhttp://dl.cerist.dz/handle/CERIST/34

Browse

Author: search.filters.author.Hammoudi, Slimane

Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    The Future of BPM in the era of industry 4.0 : exploring new opportunities for innovation
    (CERIST, 2025-02) Khider, Hadjer; Meziane, Abdelkrim; Hammoudi, Slimane
    In today's digital age, the fourth industrial revolution has given rise to Industry 4.0. This new paradigm has brought new challenges for organizations, through a digital transformation. This digital transformation has profoundly impacted the way businesses operate, leading to a fundamental shift in the Business Process Management (BPM), affecting business models, processes, products, relationships and competencies. This transformation is based on the use of cyber-physical systems and information and communication technologies, in particular artificial intelligence and the Internet of Things. This paper aims to identify and define the main challenges, limitations, and opportunities of BPM in the era of Industry 4.0. Furthermore, it aims to identify potential future research directions. in addition to analyzing the impact of Industry 4.0 concepts and related technologies on the management of organizations and their business processes.
  • Thumbnail Image
    Item
    Toward an Approach for Job Recommender System: Leveraging Hybrid Techniques
    (CERIST, 2024-11) Khider, Hadjer; Meziane, Abdelkrim; Hammoudi, Slimane
    The rapid evolution of the job market, driven by digitalization and changing business environment dynamics, requires the development of sufficient job recommender systems. A significant number of challenges are facing those job seekers on LinkedIn professional social network. These LinkedIn users are seeking job-maker proposals that align with their business needs. Supporting these job seekers is a real challenge. In order to address this deficiency, we propose a methodology for job recommender systems on the professional social network LinkedIn, based on the user profiles on that platform. This paper presents a user-centric design approach and recommendation process for jobs based on the social profile of the LinkedIn users. The proposed approach to job recommendation combines hybrid techniques, integrating collaborative filtering, content-based filtering, context aware recommendation. In this paper, we introduce a user-centric and interactive framework that enables job seekers to interact with our Job Recommender System to provide the most relevant and valuable recommendations. The proposed framework is designed to addressing common challenges in the field; this approach aims to enhance recommendation accuracy and user satisfaction.
  • No Thumbnail Available
    Item
    Social Business Process Model Recommender: An MDE approach
    (CERIST, 2018-09-26) Khider, Hadjer; Hammoudi, Slimane; Benna, Amel; Meziane, Abdelkrim
    with the advent of the social Web (Web 2.0) and the massive use of online social networks (OSNs) (e.g.Facebook, LinkedIn). OSNs have become new opportunity that provides huge Masses of data about users’, rich in their diversity and important in their quantity. Exploring the profiles data among these OSNs attract a great deal of attention among researchers in several research areas: social information retrieval systems, social recommendation systems. Social Recommender Systems aim to generate meaningful recommendations to a collection of users for items that might be interesting for them. In this paper we propose to investigate social recommender systems for improving Business process (BP) models reuse in process models repositories. The recommender system we propose to integrate we called SBPR recommender. SBPR recommender aims to recommend to the users of such repositories BP models for reuse. LinkedIn User profile is the source of social data for SBPR recommender; BP models are target items to be recommended to user. We propose a framework based on Model Driven Engineering (MDE) approach where techniques of models, metamodels, transformation and weaving are used to implement a generic recommendation process.
  • Thumbnail Image
    Item
    Toward an Approach to Improve Business Process Models Reuse Based on Linkedin Social Network
    (CERIST, 2017-01-10) Khider, Hadjer; Benna, Amel; Meziane, Abdelkrim; Hammoudi, Slimane
    Business process (BP) modeling is an important stage in BPM lifecycle. However, modeling BP from scratch is fallible task, complex, time-consuming and error prone task. One of the promising solutions to these issues is the reuse of BP models. BP reusability during the BP modeling stage can be very useful since it reduces time and errors modeling, simplify users’ modeling tasks, improve the quality of process models and enhance modeler’s efficiency. The main objective of this paper is to propose a Social Business Process Management (Social BPM) approach based on the user social profile to perform the reuse of BP models. We identify the need of exploring user profile to reuse BP models. The LinkedIn social network is used to extract the users’ business interests these user business interests are then used to recommend the appropriate BP model.