Modelling the use of social network marketing in Indonesia

Author:

Jonny ,Kriswanto

Abstract

Abstract This study focused on modelling the use of social network marketing in Indonesia. This platform was currently widely used as a means of trading among sellers and buyers so that they did not have to go to many stores to get their necessities. However, several studies showed that there was still a lack of trust, causing buyers to be reluctant to use the platform. Thereby, the objective of this study was to investigate what factors contribute to their reluctancy to use the platform. Therefore, a quantitative methodology was applied to model the use of social network marketing using PLS-SEM (Partial Least Square Structural Equation Modelling). After conducting purposive questionnaires to about 250 various buyers in Jakarta, Smart PLS was run to get a robust and accurate model (Goodness of Fit = 0.72). The result indicates that 1) Behavioural Intention is effected mainly by Perceived Usefulness (r=0.80), Awareness (r=0.67), Perceived Ease of Use (r=0.63), and Perceived Credibility (r=0.37), 2) Perceived Usefulness is effected mainly by Perceived Ease of Use (r=0.78) and Computer Self-Efficacy (r=0,56), 3) Perceived Ease of Use is effected by Computer Self-Efficacy (r=0.61), 4) Perceived Credibility (PC) is effected by Awareness (r=0.44) and Computer Self-Efficacy (r=0.28), and 5) Awareness is effected by Computer Self-Efficacy (r=0.32). Therefore, the implication of this study indicates that in order to promote the behavioral intention of buyers, sellers should mainly promote the perceived ease of use of their platforms and their buyers’ computer self-efficacy, followed by other remaining factors.

Publisher

IOP Publishing

Subject

General Engineering

Reference20 articles.

1. Social networking: Changing the way we communicate and do business;Kevin,2009

2. Social network sites: Definition, history, and scholarship;Boyd;Journal of computerized communication,2007

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Structural equation modelling for IoT and big data implementation in business performance;THE 2ND NATIONAL CONFERENCE ON MATHEMATICS EDUCATION (NACOME) 2021: Mathematical Proof as a Tool for Learning Mathematics;2023

2. Developing Organizational Resilience Model to Sustain Business Performance;2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2022-12-07

3. Modelling Big Data Analytics Adoption: An Indonesian Case;2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2021-12-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3