Forthcoming Articles

International Journal of Electronic Customer Relationship Management

International Journal of Electronic Customer Relationship Management (IJECRM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Electronic Customer Relationship Management (One paper in press)

Regular Issues

  • Past, present and future of influencer marketing: a systematic literature review using SPAR-4-SLR protocol and TCCM framework   Order a copy of this article
    by Monika Tufchi , Nidhi Sinha 
    Abstract: The rapid evolution of digital technologies from social media platforms to artificial intelligence has significantly reshaped influencer marketing, making it an increasingly important research domain. To consolidate this expanding body of knowledge, this study conducts a structured systematic literature review of 277 peer-reviewed articles published between January 2011 and August 2024, using the SPAR-4-SLR protocol and the TCCM framework. The review is among the first to organise influencer marketing theories into ten distinct clusters, offering a coherent theoretical foundation for future research. It proposes a novel construct-level conceptual framework categorising antecedents (n = 164), mediators (n = 112), moderators (n = 102), and consequences (n = 123). The study also provides a comprehensive contextual mapping across platforms, demographics, influencer types, and industries, identifying emerging yet underexplored platforms such as TikTok, Sina Weibo, live streaming, the Metaverse, Roblox, VR Chat, and NextEarth. Notably, it highlights mom-influencers as an emotionally driven and underresearched influencer category. Methodologically, the review advocates qualitative, longitudinal, mixed-method, and advanced analytical approaches, including machine learning, deep learning, and neuroscience, to advance future influencer marketing research.
    Keywords: social media influencers; influencer marketing; TCCM framework; consumer behaviour; SPAR-4-SLR; systematic literature review; SLR.
    DOI: 10.1504/IJECRM.2026.10076941
     

 

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