Perceived relationship, reward and brand post as antecedents of customer engagement in social networking sites / Noraniza Md Jani, Mohd Hafiz Zakaria and Ramlan Mustapha

Md Jani, Noraniza and Zakaria, Mohd Hafiz and Mustapha, Ramlan (2020) Perceived relationship, reward and brand post as antecedents of customer engagement in social networking sites / Noraniza Md Jani, Mohd Hafiz Zakaria and Ramlan Mustapha. Jurnal Intelek, 15 (2): 8. pp. 76-86. ISSN 2682-9223

Abstract

The presence and focus of brand users are difficult to predict in the social networking sites (SNS) medium. Marketers are still compiling the tactics of administering customers and prospects due to the ever-present new challenges. Research on customer engagement confirms the importance of antecedents in the SNS platform. However, various theoretical and practical support were extremely difficult to obtain. This study intends to fill this shortage through the well-known partial least square (PLS) technique. The questionnaire data were obtained from 389 respondents who actively interacted with brands at a minimum of 2 years in the SNS channel. The findings have verified the contribution of perceived relationship, reward, and brand post as antecedents to customer engagement. In closing points, this manuscript discusses the conclusion and implications to strengthen future literature and industry blueprints.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Md Jani, Noraniza
UNSPECIFIED
Zakaria, Mohd Hafiz
UNSPECIFIED
Mustapha, Ramlan
UNSPECIFIED
Subjects: H Social Sciences > HF Commerce > Marketing > Social aspects. Social marketing
H Social Sciences > HM Sociology > Groups and organizations > Social groups. Group dynamics > Social networks > Online social networks
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus
Journal or Publication Title: Jurnal Intelek
UiTM Journal Collections: UiTM Journal > Jurnal Intelek (JI)
ISSN: 2682-9223
Volume: 15
Number: 2
Page Range: pp. 76-86
Keywords: customer engagement, antecedent, behaviour, social networking sites, structural equation modelling
Date: August 2020
URI: https://ir.uitm.edu.my/id/eprint/69205
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