Review badges
2 pre-pub reviews
0 post-pub reviews

Purpose - This paper investigates if the existing degree of students' acceptance and use of mobile or m-learning may face the online shift determined by SARS-CoV-2. Based on the extended unified theory of acceptance and use of technology (UTAUT2), a new comprehensive model, SD-UTAUT (social distancing-UTAUT), is developed to better understand relationships between the original constructs, plus personal innovativeness (PI) and information quality (IQ). It identifies the key factors affecting behavioral intention (BI) and use by examining the influence of revaluated hedonic motivation (HM) and learning value (LV) importance as mediators.Design/methodology/approach - The paper opted for an exploratory study involving 311 learners, using partial least squares structural equation modeling (PLS-SEM).Findings - SD-UTAUT can be a new m-learning model in higher education. It has high predictive power and confirmed 15 out of 16 hypotheses. The most powerful relationship is between performance expectancy (PE) and HM. IQ affected LV the most, since HM the behavioral use (BU). HM impacts the use behavior (UB) more than LV, but habit (HT) affects it the most.Research limitations/implications - Because of the pandemic context, output may lack generalizability and reproducibility.Practical implications - To improve usage, staff must provide better support, course creators emphasize the objectives and competencies and developers integrate innovation. The joy and pleasure of m-learning use may stimulate the LV through interesting and interactive content, like incorporating gamification.Originality/value - The model set-up and circumstances are previously unseen. SD-UTAUT confirms ten new hypotheses and introduces the student's grade point average (GPA) as a moderator.Peer review - The peer review history for this article is available at


Sitar-Taut, Dan-Andrei;  Mican, Daniel

Publons users who've claimed - I am an author
Contributors on Publons
  • 2 authors
  • pre-publication peer review (FINAL ROUND)
    Decision Letter


    Dear Sitar-Taut, Dan-Andrei; Mican, Daniel

    It is a pleasure to accept your manuscript OIR-01-2021-0017, entitled "Mobile Learning Acceptance and Use in Higher Education During Social Distancing Circumstances: An Expansion and Customization of UTAUT2" in its current form for publication in Online Information Review. Please note, no further changes can be made to your manuscript.

    Please go to your Author Centre at (Manuscripts with Decisions for the submitting author or Manuscripts I have co-authored for all listed co-authors) to complete the Copyright Transfer Agreement form (CTA). We cannot publish your paper without this.

    All authors are requested to complete the form and to input their full contact details. If any of the contact information is incorrect you can update it by clicking on your name at the top right of the screen. Please note that this must be done prior to you submitting your CTA.

    If you have an ORCID please check your account details to ensure that your ORCID is validated.

    By publishing in this journal your work will benefit from Emerald EarlyCite. As soon as your CTA is completed your manuscript will pass to Emerald’s Content Management department and be processed for EarlyCite publication. EarlyCite is the author proofed, typeset version of record, fully citable by DOI. The EarlyCite article sits outside of a journal issue and is paginated in isolation. The EarlyCite article will be collated into a journal issue according to the journals’ publication schedule.

    FOR OPEN ACCESS AUTHORS: Please note if you have indicated that you would like to publish your article as Open Access via Emerald’s Gold Open Access route, you are required to complete a Creative Commons Attribution Licence - CCBY 4.0 (in place of the standard copyright assignment form referenced above). You will receive a follow up email within the next 30 days with a link to the CCBY licence and information regarding payment of the Article Processing Charge. If you have indicated that you might be eligible for a prepaid APC voucher, you will also be informed at this point if a voucher is available to you (for more information on APC vouchers please see

    Thank you for your contribution. On behalf of the Editors of Online Information Review, we look forward to your continued contributions to the Journal.


    Dr. Eugenia Siapera

    Tell us how we're doing! We’d love to hear your feedback on the submission and review process to help us to continue to support your needs on the publishing journey.

    Simply click this link to complete a short survey and as a thank you for taking part you have the option to be entered into a prize draw to win £100 in Amazon vouchers. To enter the prize draw you will need to provide your email address.

    Decision letter by
    Cite this decision letter
    Reviewer report

    Congratulations for its works!!!

    Reviewed by
    Cite this review
    Reviewer report

    It is a work with a high contribution to the related field. The method is clearly given. However, it is not specified in which country data was collected. Since the educational measures taken by countries during the pandemic process are different, it is important to indicate in which country the data are collected. Findings, current and relevant literature are discussed. Implications for future studies are sufficient and their contribution to the field is high. Limitations are clearly given.

    Reviewed by
    Cite this review
All peer review content displayed here is covered by a Creative Commons CC BY 4.0 license.