The Determinants of User's Intention to Adopt Hyper-Converged Infrastructure Technologies: An Integrated Approach

Rizqie Joko Prabowo, Achmad Nizar Hidayanto, Puspa Indahati Sandhyaduhita, Fatimah Azzahro, Azelea Chairunnisa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The purpose of this study is to investigate factors that affect users' intention to adopt Hyper-Converged Infrastructure (HCI) technology in Indonesia. HCI is an infrastructure that is based on software-centric architecture combines with integrated computing, storage, virtualization and other technologies packed in one box supported by one vendor. The adoption of this technology is still low both in the world and in Indonesia. This research integrates three frameworks, namely the Task-Technology Fit (TTF), the Technology Acceptance Model (TAM) and Technology, Organization and Environment (TOE). Data from 113 respondents are analyzed using SmartPLS software, a Partial Least Square Structural Equation Model (PLS-SEM) tool. This study found that perceived ease of use, competitive pressure, and vendor support affect users' intention to use Hyper-Converged Infrastructure technology.

Original languageEnglish
Title of host publication2018 International Conference on Information Technology Systems and Innovation, ICITSI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages306-311
Number of pages6
ISBN (Electronic)9781538656938
DOIs
Publication statusPublished - 22 Apr 2019
Event5th International Conference on Information Technology Systems and Innovation, ICITSI 2018 - Bandung - Padang, Indonesia
Duration: 22 Oct 201826 Oct 2018

Publication series

Name2018 International Conference on Information Technology Systems and Innovation, ICITSI 2018 - Proceedings

Conference

Conference5th International Conference on Information Technology Systems and Innovation, ICITSI 2018
CountryIndonesia
CityBandung - Padang
Period22/10/1826/10/18

Keywords

  • Hyper-Converged Infrastructure
  • Task-Technology Fit
  • Technology Acceptance Model
  • Technology Adoption
  • Technology-Organizaation-Environment

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