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How could we increase the impact factor of our journal?

  • Résumé
    The impact factor of a scientific journal is a measure illustrating the average number of times when its articles have been cited in scientific papers. The impact factor is frequently used as a reference to determine the journal relative importance within its field. As other scientific journals, we are consequently and legitimately wondering how to increase our own impact factor.
    Citation : Mamavi, O. (Avr 2018). How could we increase the impact factor of our journal?. Management et Datascience, 2(2). https://doi.org/10.36863/mds.a.4044.
    L'auteur : 
    • Olivier Mamavi
       (omamavi@gmail.com) - Paris School of Business  - ORCID : https://orcid.org/0000-0002-6421-1048
    Copyright : © 2018 l'auteur. Publication sous licence Creative Commons CC BY-ND.
    Liens d'intérêts : 
    Financement : 
    Texte complet

    The first thing to note is that Management & Data Science is an open access (OA) journal. Four main factors support this position within the Management research field : visibility, cost, prestige and rapidity. Indeed, one study showed that paper full-text downloads are 89% higher, PDF downloads are 42% higher and unique visitors are 23% higher for articles published in OA journals compared to the ones published in subscription-access journals. Additionally, by being a free-access journal, Management & Data-Science can be available to Educators and to the general public, most of whom do not have access to expensive journal subscriptions.

    A full English issue

    Second, Management & Data Science is a French journal. Indeed, we agree with Frédéric Bouchard, Dean of the Faculty of Arts at Université de Montréal and President of the Association francophone pour le savoir (Canada’s French-language association for the advancement of science):

    “It is important for all societies to have a research community that is capable of expressing itself in its own language.”

    This is the reason why we are proud to be a French scientific journal. Nevertheless, we believe that it is also fruitful to offer an alternative language to publish some papers within Management & Data Science, especially in English, for several reasons.

    • French-speaking researchers are increasingly presenting and publishing their scientific papers in English.
    • English is now so prevalent that in some non-English native speaking countries, such as Germany, France, and Spain, papers in English outnumber publications in the country’s own language several times over.
    • Scientists who want to produce influential and globally recognized work often need to publish in English. Papers published in other languages than English may reach a more limited audience.
    • Our journal can get indexed in places like Scopus (which focuses heavily on English-language journals and requires at least abstracts to be in English).

    For all these reasons, Management & Data Science is presenting its first full-English issue and hopes to meet scientific expectations and increase its impact factor by doing so.

    About this issue

    This issue is compiling the very interesting opinions from two experts. The first one from Matt ADCOCK is called it’s time to get ready for augmented reality. The second one from Louise KELLY and Kate LETHEREN is entitled voice assistants will have to build trust before we’re comfortable with them tracking us.
    Stéphanie HERAULT, Amélie CLAUZEL and Madeleine BESSON‘s research article analyzes the relationships between intrusion, perceived control and resistance in a context of exposure to display mobile advertising. This qualitative study confirms the multi-dimensionality of the perceived control concept as well as the occurrence of resistance behaviors due to a user lack of control.
    In another study, Hajer KEFI, Talel ABDESSALEM and Sitesh INDRA opted for a design science approach to develop an analytical framework of social media capabilities of the firm. The approach has been applied to five brands in the cosmetics industry using social network analysis, consumer engagement, descriptive statistics and sentiment analysis. The findings allow the authors to enlighten the competitive positioning of these brands during the studied period.

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