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Hauptverfasser: Park, Eunil, Kim, Ki Joon
Format: Recurso educativo Open Access
Sprache:en
Veröffentlicht: 2013
Schlagworte:
Online-Zugang:https://eric.ed.gov/?id=EJ1004432
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author Park, Eunil
Kim, Ki Joon
author_facet Park, Eunil
Kim, Ki Joon
Park, Eunil
Kim, Ki Joon
collection Education Resources Information Center
contents User Acceptance of Long-Term Evolution (LTE) Services: An Application of Extended Technology Acceptance Model Park, Eunil Kim, Ki Joon Telecommunications Handheld Devices Services Path Analysis Attitudes Satisfaction Psychological Patterns Intention Structural Equation Models Online Surveys Foreign Countries Purpose: The aim of this paper is to propose an integrated path model in order to explore user acceptance of long-term evolution (LTE) services by examining potential causal relationships between key psychological factors and user intention to use the services. Design/methodology/approach: Online survey data collected from 1,344 users are analysed with the structural equation modelling (SEM) method. Findings: Results reveal that satisfaction is the most crucial factor contributing to user intention to use LTE services. Other factors, including perceived usefulness, attitude, and system and service quality, also have notable impacts on user intention. Furthermore, system and service quality is affected by both perceived processing speed and perceived mobility, while perceived usefulness is primarily influenced by perceived adaptivity. In addition, four factors (perceived usefulness, adaptivity, processing speed, and system and service quality) are found to be major determinants of the user attitudes toward the services. Originality/value: The present study provides valuable insights to understanding key factors that affect user perceptions of and intention to use LTE services. (Contains 6 tables and 3 figures.)
format Recurso educativo Open Access
id eric_EJ1004432
institution ERIC Institute of Education Sciences
language en
publishDate 2013
record_format eric
spellingShingle User Acceptance of Long-Term Evolution (LTE) Services: An Application of Extended Technology Acceptance Model
Park, Eunil
Kim, Ki Joon
Telecommunications
Handheld Devices
Services
Path Analysis
Attitudes
Satisfaction
Psychological Patterns
Intention
Structural Equation Models
Online Surveys
Foreign Countries
User Acceptance of Long-Term Evolution (LTE) Services: An Application of Extended Technology Acceptance Model Park, Eunil Kim, Ki Joon Telecommunications Handheld Devices Services Path Analysis Attitudes Satisfaction Psychological Patterns Intention Structural Equation Models Online Surveys Foreign Countries Purpose: The aim of this paper is to propose an integrated path model in order to explore user acceptance of long-term evolution (LTE) services by examining potential causal relationships between key psychological factors and user intention to use the services. Design/methodology/approach: Online survey data collected from 1,344 users are analysed with the structural equation modelling (SEM) method. Findings: Results reveal that satisfaction is the most crucial factor contributing to user intention to use LTE services. Other factors, including perceived usefulness, attitude, and system and service quality, also have notable impacts on user intention. Furthermore, system and service quality is affected by both perceived processing speed and perceived mobility, while perceived usefulness is primarily influenced by perceived adaptivity. In addition, four factors (perceived usefulness, adaptivity, processing speed, and system and service quality) are found to be major determinants of the user attitudes toward the services. Originality/value: The present study provides valuable insights to understanding key factors that affect user perceptions of and intention to use LTE services. (Contains 6 tables and 3 figures.)
title User Acceptance of Long-Term Evolution (LTE) Services: An Application of Extended Technology Acceptance Model
topic Telecommunications
Handheld Devices
Services
Path Analysis
Attitudes
Satisfaction
Psychological Patterns
Intention
Structural Equation Models
Online Surveys
Foreign Countries
url https://eric.ed.gov/?id=EJ1004432