Analyzing End-User Acceptance of SaaS-Based ERP Systems in Hospitality in Bali: A UTAUT 3 Model Approach with SEM-PLS Using R Programming

Information technology advancements have an impact on operational effectiveness across a range of industries, including the hospitality sector. Systems for enterprise resource planning, or ERPs, are integrated systems used to maximize resources and increase productivity. However, there are still barriers to widespread ERP adoption concerning application acceptance. It can be challenging for certain SaaS-based ERP system providers in the hospitality sector to ensure every client is accepted and implemented successfully. Using the Unified Theory of Adoption and Use of Technology 3 (UTAUT 3) model, this study assesses the SaaS ERP system's ultimate adoption in Bali, Indonesia's hotel sector, and pinpoint the variables influencing this acceptance. Questionnaires are distributed to hotel owners in Bali to gather data using quantitative approaches. SEM-PLS was used for data analysis and R programming to evaluate nine hypotheses. The findings demonstrated the considerable effects of Price Value, Hedonic Motivation, Social Influence, and Performance Expectancy on Behavioral Intention. Use Behavior was significantly impacted by both behavioral intention and habit simultaneously. On the other hand, there was no discernible impact from Effort Expectancy, Facilitating Conditions, or Personal Innovativeness. To improve the design of more successful implementation strategies, this study emphasizes the critical elements that promote end-user motivation and behavioral intentions to utilize ERP systems. It also emphasizes the necessity of addressing obstacles that may impede successful adoption.

Authors

Institutions

Publication Details

Published
2024-11-14
DOI
https://doi.org/10.1109/incit63192.2024.10810625
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing End-User Acceptance of SaaS-Based ERP Systems in Hospitality in Bali: A UTAUT 3 Model Approach with SEM-PLS Using R Programming

Muhardi Saputra, Ivan Maulana Razzaq
1 citations
Technology Adoption and User Behaviour
1.05
article

Analyzing End-User Acceptance of SaaS-Based ERP Systems in Hospitality in Bali: A UTAUT 3 Model Approach with SEM-PLS Using R Programming

Muhardi Saputra, Ivan Maulana Razzaq
article en
1 citations

Abstract

Information technology advancements have an impact on operational effectiveness across a range of industries, including the hospitality sector. Systems for enterprise resource planning, or ERPs, are integrated systems used to maximize resources and increase productivity. However, there are still barriers to widespread ERP adoption concerning application acceptance. It can be challenging for certain SaaS-based ERP system providers in the hospitality sector to ensure every client is accepted and implemented successfully. Using the Unified Theory of Adoption and Use of Technology 3 (UTAUT 3) model, this study assesses the SaaS ERP system's ultimate adoption in Bali, Indonesia's hotel sector, and pinpoint the variables influencing this acceptance. Questionnaires are distributed to hotel owners in Bali to gather data using quantitative approaches. SEM-PLS was used for data analysis and R programming to evaluate nine hypotheses. The findings demonstrated the considerable effects of Price Value, Hedonic Motivation, Social Influence, and Performance Expectancy on Behavioral Intention. Use Behavior was significantly impacted by both behavioral intention and habit simultaneously. On the other hand, there was no discernible impact from Effort Expectancy, Facilitating Conditions, or Personal Innovativeness. To improve the design of more successful implementation strategies, this study emphasizes the critical elements that promote end-user motivation and behavioral intentions to utilize ERP systems. It also emphasizes the necessity of addressing obstacles that may impede successful adoption.

Telkom University (ID)
Openalex Percentile: Top 11%
Technology Adoption and User Behaviour
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.