Exploring the impact of internal marketing practices on the commitment to “green” intellectual capital

  • Received January 26, 2023;
    Accepted May 18, 2023;
    Published June 2, 2023
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/im.19(2).2023.16
  • Article Info
    Volume 19 2023, Issue #2, pp. 198-210
  • TO CITE АНОТАЦІЯ
  • Cited by
    3 articles
  • 491 Views
  • 184 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The purpose of this study is to explore how internal marketing practices affect the commitment of organizations’ “green” intellectual capital. It examines the relationship between internal marketing practices and the commitment to its “green” intellectual capital’s components: human, relational, and structural. Moreover, it investigates to what extent internal marketing practices are applied to strategic, operational, and implementation levels, affecting “green” intellectual capital commitment. A 27-item questionnaire was used to collect quantitative data. Six hundred nine employees from large companies operating in various business sectors in Greece participated in a survey from July to November 2020. The findings documented a strong impact of internal marketing practices (90.5%) on the commitment to “green” intellectual capital. Internal marketing practices applied at operational levels have the most substantial effect on the commitment of “green” intellectual capital (t = 17.387), while practices at implementation levels are not significant (t = 3.668). The results also indicated that internal marketing practices applied at strategic levels significantly influence the commitment to “green” intellectual capital (t = 15.747). Finally, the study discusses the theoretical and managerial contributions.

Acknowledgment
This study has been funded by the University of West Attica / Special Account for Research Grants.

view full abstract hide full abstract
    • Table 1. Factor loadings
    • Table 2. Examination of hypotheses
    • Table 3. Multiple regression model fit
    • Table 4. Statistical significance of the independent variables
    • Conceptualization
      Christina Arfara, Irene Samanta
    • Data curation
      Christina Arfara, Irene Samanta
    • Formal Analysis
      Christina Arfara, Irene Samanta
    • Investigation
      Christina Arfara, Irene Samanta
    • Methodology
      Christina Arfara, Irene Samanta
    • Project administration
      Christina Arfara, Irene Samanta
    • Resources
      Christina Arfara
    • Validation
      Christina Arfara, Irene Samanta
    • Writing – original draft
      Christina Arfara, Irene Samanta
    • Writing – review & editing
      Christina Arfara, Irene Samanta
    • Funding acquisition
      Irene Samanta