A Preliminary Classification of Usage Measures in Information System Acceptance

2013 ◽  
pp. 105-129 ◽  
Author(s):  
Muhammad Z. I. Lallmahomed ◽  
Nor Zairah Ab Rahim ◽  
Roliana Ibrahim ◽  
Azizah Abdul Rahman
Keyword(s):  
Information System ◽  
Technology Acceptance ◽  
Rater Agreement ◽  
Dimensional Measure ◽  
System Use ◽  
System Acceptance ◽  
Acceptance Model ◽  
Q Sort ◽  
Preliminary Classification

In the light of a diverse body of disorganized usage measures available and the difficulty of building a cumulative research tradition, a literature review is conducted on system use in Information Systems (IS) Acceptance through the two main theories of Technology Adoption, the Technology Acceptance Model (TAM), and The Unified Theory of Use and Acceptance of Technology (UTAUT). The authors seek to understand how usage measures are being operationalised and proposed a preliminary classification of those measures that covers system and task aspects of use. A Q-Sort approach was taken to validate the authors’ classification scheme and the result indicates high inter-rater agreement. The ensuing classification is meant to help researchers in their choice of system use measures. This review also summarises the arguments for a multi-dimensional measure of use and establishes that omnibus measure such as frequency, volume and use/non-use hold prevalence. Finally, the authors provide recommendations for further research in the area of system use.

A Preliminary Classification of Usage Measures in Information System Acceptance

2011 ◽  
Vol 2 (4) ◽  
pp. 25-47 ◽  
Author(s):  
Muhammad Z. I. Lallmahomed ◽  
Nor Zairah Ab Rahim ◽  
Roliana Ibrahim ◽  
Azizah Abdul Rahman
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Unified Theory ◽  
Dimensional Measure ◽  
System Use ◽  
System Acceptance ◽  
Acceptance Model ◽  
Q Sort ◽  
Preliminary Classification

In the light of a diverse body of disorganized usage measures available and the difficulty of building a cumulative research tradition, a literature review is conducted on system use in Information Systems (IS) Acceptance through the two main theories of Technology Adoption, the Technology Acceptance Model (TAM), and The Unified Theory of Use and Acceptance of Technology (UTAUT). The authors seek to understand how usage measures are being operationalised and proposed a preliminary classification of those measures that covers system and task aspects of use. A Q-Sort approach was taken to validate the authors’ classification scheme and the result indicates high inter-rater agreement. The ensuing classification is meant to help researchers in their choice of system use measures. This review also summarises the arguments for a multi-dimensional measure of use and establishes that omnibus measure such as frequency, volume and use/non-use hold prevalence. Finally, the authors provide recommendations for further research in the area of system use.

The Influence of Attitude on the Acceptance and Use of Information Systems

2010 ◽  
pp. 1506-1534
Author(s):  
Charles J. Kacmar ◽  
Susan S. Fiorito ◽  
Jane M. Carey
Keyword(s):  
Information System ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Nomological Network ◽  
Modeling Instruction ◽  
Task Preparation ◽  
Output Quality ◽  
System Use ◽  
Acceptance Model ◽  
Merchandise Planning

The nomological network of the technology acceptance model is expanded through the addition of affective and task-preparation variables as antecedents to traditional predictors of technology acceptance:output quality, result demonstrability, and ease of use. An empirical study involving a visual/simulation information system, set in the domain of retail merchandise planning, finds that negative affectivity (NA) is a consistent and strong negative antecedent to perceptions of output quality, result demonstrability, and ease of use. In contrast, positive affectivity (PA) is a significant and positive antecedent to ease of use, but not necessarily a significant antecedent to either output quality or result demonstrability. A new construct developed from the job characteristics literature—perceived task preparation—measured the subject’s perceptions of the pre-system usage training, which included task design and modeling instruction, scenarios of activities within the prospective information system, discussions and review of the system documentation, and highly structured, pre-task system use activities. Perceived task preparation was found to be a significant and strong positive indicator of computer self-efficacy.

Use of Technology Acceptance Model for Turnitin®

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Dr. Abu Turab Alam
Keyword(s):  
Information System ◽  
Software Engineering ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Implementation Research ◽  
Functional Requirements ◽  
End User ◽  
Research Activity ◽  
Use Of Technology ◽  
Acceptance Model

A useful Information System is difficult to conceive and develop. Research on technology has revealed that end-user likes or dislikes may matter towards the success or failure of information system (IS). A highly complicated system in which developers have put lots of development efforts may fail if the end-user dislikes it after its initial installation. In software engineering literature it is claimed that system rejection is mostly caused by not meeting the non-functional requirements. In this paper, a study is being done on ‘turnitin®’ as technology and its acceptance to a group of students in order to find out confirmation of result as claimed by TAM while it is a post implementation research activity for technology acceptance.

scholarly journals The Determinant of Acceptance of SIMDA (Information System of District Management) Implementation on the Government of Batu City

2017 ◽  
Vol 1 (2) ◽  
pp. 298
Author(s):  
Umar Maksum ◽  
Zaki Baridwan ◽  
Imam Subekti
Keyword(s):  
Information System ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Personal Innovativeness ◽  
Acceptance Model ◽  
Computer Self Efficacy

<p>This study aims to examine the factors influencing the acceptability of SIMDA in the Batu Municipal Government. The research model used the <em>Technology Acceptance Model</em> (TAM), which add external construct from D&amp;M success model of information system and other construct namely the <em>commitment of management</em>, <em>social influence</em> and the Individually influence such as <em>computer self-efficacy</em> and <em>personal innovativenes</em>. This research employed census sampling method. The samples are all official of in financial department who use SIMDA. Results of the research showed that <em>perceived usefulness</em> was affected by <em>management commitment</em>, <em>social influence</em>, <em>information quality, system quality</em>, <em>personal innovativeness</em>, and<em> perceived ease of use</em>. In addition, <em>Computer self-efficacy</em>, and <em>personal innovativeness</em> influenced to <em>perceived ease of use</em>. Furthermore, the <em>acceptance SIMDA</em> was influenced <em>perceived usefulness</em> and <em>perceived ease of use</em>. On the contrary, <em>computer self-efficacy</em> did not affect to <em>perceived usefulness</em><strong></strong></p><p><strong>Keywords: </strong>Technology Acceptance Model (TAM), Acceptance SIMDA, perceived usefulness, perceived ease of use</p>

Researching Technological Innovation in Small Business

2011 ◽  
pp. 3292-3297
Author(s):  
Arthur Tatnall
Keyword(s):  
Information System ◽  
Small Business ◽  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Technological Innovation ◽  
Technology Acceptance Model ◽  
Innovation Theory ◽  
New Information ◽  
Acceptance Model

The introduction of a new information system into a small business, or upgrading an existing system, should be seen as an innovation and considered through the lens of innovation theory. The most widely accepted theories of how technological innovation takes place are provided by innovation diffusion (Rogers, 1995) and the technology acceptance model (Davis, 1986), but most of the research based on these models involves studies of large organizations or societal groups. This article argues that another approach, innovation translation, has more to offer in the case of innovations that take place in smaller organizations (Burgess, Tatnall, & Darbyshire, 1999; Tatnall, 2002; Tatnall & Burgess, 2004).

Measuring Patients’ Perceptions and Social Influence on Home Telecare Management System Acceptance

2010 ◽  
Vol 5 (3) ◽  
pp. 44-68 ◽  
Author(s):  
Charles Chen ◽  
Shih-Wei Chou
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Management System ◽  
Modern Technology ◽  
Theory And Practice ◽  
Successful Implementation ◽  
Social Influence Theory ◽  
System Acceptance ◽  
Acceptance Model ◽  
The Impact

Successful implementation of a Home Telecare Management System (HTMS) requires acceptance by the users, especially when technical innovation is applied to manage chronic healthcare in elderly patients, who are unaccustomed to using modern technology. Based on the Technology Acceptance Model (TAM) and Social Influence Theory (SIT), a Home Telecare Management System (HTMS) Acceptance Model is proposed and tested to improve the understanding of patients’ acceptance of HTMS and the impact of social influence on patients’ attitude and behavioral intentions in using HTMS. Via empirical research and analysis of 221 patients’ questionnaires, the partial least squares (PLS) technique indicates that most of the model’s hypotheses are significant. Implications for both theory and practice are also provided.

Understanding University Students' System Acceptance Behavior

2016 ◽  
Vol 12 (3) ◽  
pp. 106-125 ◽  
Author(s):  
Chia-Ying Li
Keyword(s):  
Information System ◽  
Information Systems ◽  
University Students ◽  
Technology Acceptance ◽  
Five Factor Model ◽  
Subjective Norms ◽  
Perceived Usefulness ◽  
Behavior Intention ◽  
System Acceptance ◽  
And Behavior

Individuals taking information system training courses can benefit from learning information systems use and thus have the ability to implement systems before graduation. Previous studies have mentioned that an individual's system acceptance is likely to be determined by the information system, target users and context. However, studies on how personality traits and their interactions with external variables, such as training and subjective norms, to directly or indirectly influence an individual's perception and behavior intention, are lacking. This study integrates the five-factor model and technology acceptance model to explore student information systems acceptance. Questionnaire survey is used to collect data from university students. By using PLS analysis with 331 usable questionnaires, the results indicate that training and subjective norms have positive influences on perceived usefulness. Besides, a conscientiousness personality has a positive influence on perceived usefulness. Extraversion and agreeableness moderate the influence of subjective norms on perceived usefulness, while openness to experience moderates the relationship between training and perceived usefulness. Finally, this study confirms the positive interrelationship among perceived usefulness, attitude and behavior intention. The results provide valuable information for both academicians and practitioners concerned with promoting students' information systems acceptance.

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