UTAUT'S performance consistency: Empirical evidence from a library management system

被引:11
|
作者
Zainab, A. M. [1 ,2 ]
Kiran, K. [1 ]
Karim, N. H. A. [1 ]
Sukmawati, M. [2 ]
机构
[1] Univ Malaya, Fac Comp Sci & Informat Technol, Dept Lib & Informat Sci, Kuala Lumpur, Malaysia
[2] Univ Sci Malaysia, Perpustakaan Hamzah Sendut, Gelugor, Penang, Malaysia
关键词
UTAUT; RFID; Library Management System (LMS); Adoption; Information systems; USER ACCEPTANCE; UNIFIED THEORY; TECHNOLOGY; MODEL;
D O I
10.22452/mjlis.vol23no1.2
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
This paper aims to investigate the use of an adapted UTAUT model to explore librarians' acceptance of Radio-frequency Identification based Library Management System (RFID-LMS) and to determine the performance consistency of UTAUT when applied in a context other than its original intent. Causal relationships between the five identified constructs and their significances are determined using multiple regression method. The results are then compared to the performance of UTAUT as reported in the originating article. The relationship between external variables, attitude and self-efficacy, along with UTAUT constructs and RFID-LMS acceptance were found to be significant. The reliability of the modified UTAUT was found to be consistent with the original UTAUT. These findings have implications on the theoretical foundations of UTAUT and supports the notion of a unified view of examining technology adoption and diffusion.
引用
收藏
页码:17 / 32
页数:16
相关论文
共 50 条
  • [1] FACTORS AFFECTING INDIVIDUALS TO ADOPT MOBILE BANKING: EMPIRICAL EVIDENCE FROM THE UTAUT MODEL
    Yu, Chian-Son
    JOURNAL OF ELECTRONIC COMMERCE RESEARCH, 2012, 13 (02): : 104 - 121
  • [2] THE EXTENDED UTAUT MODEL AND LEARNING MANAGEMENT SYSTEM DURING COVID-19: EVIDENCE FROM PLS-SEM AND CONDITIONAL PROCESS MODELING
    Ahmed, Rizwan Raheem
    Streimikiene, Dalia
    Streimikis, Justas
    JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT, 2022, 23 (01) : 82 - 104
  • [3] Factors influencing actual usage of fitness tracking devices: Empirical evidence from the UTAUT model
    Mishra, Anubha
    Baker-Eveleth, Lori
    Gala, Prachi
    Stachofsky, Julia
    HEALTH MARKETING QUARTERLY, 2023, 40 (01) : 19 - 38
  • [4] Empirical investigation of building information modelling (BIM) staff's impact on construction project performance: evidence in Kenya
    Chen, Yuan
    Gacheri, Hazel Faith
    Sun, Gangzhu
    FRONTIERS IN BUILT ENVIRONMENT, 2024, 10
  • [5] Blockchain adoption in accounting by an extended UTAUT model: empirical evidence from an emerging economy
    Abu Afifa, Malik Muneer
    Hien Vo Van
    Trang Le Hoang Van
    JOURNAL OF FINANCIAL REPORTING AND ACCOUNTING, 2023, 21 (01) : 5 - 44
  • [6] Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy
    Queiroz, Maciel M.
    Wamba, Samuel Fosso
    De Bourmont, Marc
    Telles, Renato
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (20) : 6087 - 6103
  • [7] Adoption of E-learning System in Higher Education Environments: Evidence from Modified UTAUT Model
    Qazi, Wasim
    Raza, Syed Ali
    Khan, Komal Akram
    Salam, Javeria
    ASR CHIANG MAI UNIVERSITY JOURNAL OF SOCIAL SCIENCES AND HUMANITIES, 2020, 7 (01):
  • [8] Determinants of a mobile phone-based Interactive Voice Response (mIVR) system for monitoring childhood illnesses in a rural district of Ghana: Empirical evidence from the UTAUT model
    Adjei, Timothy Kwabena
    Mohammed, Aliyu
    Acheampong, Princess Ruhama
    Acquah-Gyan, Emmanuel
    Sylverken, Augustina
    Twumasi-Ankrah, Sampson
    Owusu, Michael
    Owusu-Dabo, Ellis
    PLOS ONE, 2021, 16 (03):
  • [9] Beyond reporting: What drives performance data use in sustainability management? Empirical evidence from US cities
    Park, Angela Y. S.
    PUBLIC MANAGEMENT REVIEW, 2025, 27 (01) : 360 - 383
  • [10] The Influence of the Entrepreneur's Open Innovation Strategy on Firm Performance: Empirical Evidence From SMEs in Kenya
    Chege, Samwel Macharia
    Wang, Daoping
    INFORMATION RESOURCES MANAGEMENT JOURNAL, 2019, 32 (04) : 20 - 41