System quality features and continuous usage intention of social network users: a multi-group analysis with gender

Q2 Computer Science

Journal of Systems and Information Technology Pub Date : 2023-10-23 DOI:10.1108/jsit-07-2022-0164

Parinda Doshi, Priti Nigam, Bikramjit Rishi

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引用次数: 0

Abstract

Purpose This paper aims to conceptualize a framework drawn upon the self-regulation theory to study the effect of system quality features on the continuous usage intention of social network users. The study explores the relationship among the selected variables and identifies the determinants of continuous usage intention of social networks. Design/methodology/approach A survey method was used to collect data from 301 male and 311 female social network users to test the research model with the help of the structural equation modelling technique. Findings The results show a difference between male and female social media users for the continuous usage intention of social networks. A substantial difference in the relationship was seen between the attitude and continuous usage intention, where female social network users had a more robust and significant relationship than their male counterparts. Originality/value This study uses the self-regulation theory to understand the continuous usage intention of social networks in the Indian context. This research study contributes to the existing literature on social networks/social media and the adoption intention.

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社会网络用户的系统质量特征与持续使用意愿:一个带性别的多群体分析

本文旨在概念化一个基于自我调节理论的框架，研究系统质量特征对社交网络用户持续使用意愿的影响。本研究探讨了所选变量之间的关系，并确定了社会网络持续使用意愿的决定因素。设计/方法/方法采用问卷调查的方法，利用结构方程建模技术，对301名男性和311名女性社交网络用户进行数据收集，对研究模型进行检验。研究结果显示，男性和女性社交媒体用户对社交网络的持续使用意愿存在差异。态度和持续使用意图之间的关系存在显著差异，其中女性社交网络用户与男性社交网络用户之间的关系更为牢固和显著。原创性/价值本研究运用自我调节理论来理解印度语境下社交网络的持续使用意愿。本研究对现有的关于社交网络/社交媒体和采用意愿的文献有所贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Systems and Information Technology Computer Science-Computer Science (all)

CiteScore

4.40

自引率

0.00%

发文量

期刊介绍： The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.