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Providing an innovative model for social customer relationship management: Meta synthesis approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A97997" target="_blank" >RIV/60460709:41110/24:97997 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S2444569X24000453" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2444569X24000453</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jik.2024.100506" target="_blank" >10.1016/j.jik.2024.100506</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Providing an innovative model for social customer relationship management: Meta synthesis approach

  • Original language description

    Social Customer Relationship Management (SCRM) has revolutionized the interaction between companies and customers, creating new opportunities and challenges for both parties. This study aims to present an innovative model for identifying the dimensions and components of SCRM. The data were collected based on a qualitative research design utilizing the meta-synthesis method, following the seven steps outlined by Sandelowski and Barroso (2007). Considering the relevance to the research topic and the quality of sources, 31 studies were selected for the final evaluation. To assess the reliability of the findings, the kappa coefficient for inter-coder agreement was used, resulting in a kappa value of 0.79. The results, analyzed using MAXQDA20 software, 2 dimensions, 6 categories, and 16 concepts identified. The company-focused dimension included 3 categories: factors influencing adoption, inhibitors, and outcomes of implementation. Similarly, the customer-focused dimension identified 3 categories: factors influencing adoption, inhibitors, and outcomes of implementation. Ultimately, a comprehensive model for SCRM was developed. The results of this research can be utilized by academic references as well as companies and consumers.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Innovation & Knowledge

  • ISSN

    2530-7614

  • e-ISSN

    2444-569X

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    17

  • Pages from-to

    1-17

  • UT code for WoS article

    001257910700001

  • EID of the result in the Scopus database