Structural Model for Analyzing the Impact of Social CRM on Customer Relationship Performance in Automotive Manufacturing Company

Mudjahidin Mudjahidin*, Andre Parvian Aristio, Safirah Melinia Febyanti, Lukman Junaedi, Ach Sahal Septiananda

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Social Customer Relationship Management (S-CRM) has been widely adopted by companies, including Indonesia's Automotive Manufacturing Companies (AMC). The adoption of S-CRM is aimed at enhancing customer relationship performance. However, there is limited research on implementing S-CRM can effectively support Customer Relationship Performance (CRP) in AMC. To address this gap, this research describes the conceptual model that illustrates the impact of S-CRM and other related factors on supporting CRP in AMC using Partial Least Square Modeling (PLS-SEM) method. The research's results reveal seven variables, eight hypotheses, and 45 indicators that can be used to increase CRP in AMC by implementing S-CRM. Result showed that only seven out of eight hypotheses are supported. This research can be used to provide recommendations for future studies on CRP in AMC, contributes to developing knowledge regarding integrating S-CRM in AMC and provides a basis for further research to enhance CRP in the company.

Original languageEnglish
Pages (from-to)861-868
Number of pages8
JournalProcedia Computer Science
Volume234
DOIs
Publication statusPublished - 2024
Event7th Information Systems International Conference, ISICO 2023 - Washington, United States
Duration: 26 Jul 202328 Jul 2023

Keywords

  • Automotive Manufacturing Company
  • Customer Relationship Performance
  • Social-Customer Relationship Management

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