Cognitive Factors in Predicting Continued Use of Information Systems with Technology Adoption Models

Autor/in	Huang, Chi-Cheng
Titel	Cognitive Factors in Predicting Continued Use of Information Systems with Technology Adoption Models
Quelle	In: Information Research: An International Electronic Journal, 22 (2017) 2, (45 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1368-1613
Schlagwörter	Information Systems; Technology Integration; Interpersonal Relationship; Prediction; Questionnaires; Online Surveys; Foreign Countries; Least Squares Statistics; Technology Uses in Education; Models; Intention; Theories; Electronic Mail; Use Studies; Difficulty Level; Attitude Measures; Social Influences; Student Attitudes; College Students; High School Students; Taiwan + Suchen Sie Ihr Suchwort? Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung; Vorhersage; Fragebogen; Ausland; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Analogiemodell; Theory; Theorie; Elektronischer Briefkasten; Benutzerschulung; Schwierigkeitsgrad; Sozialer Einfluss; Schülerverhalten; Collegestudent; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin
Abstract	Introduction: The ultimate viability of an information system is dependent on individuals' continued use of the information system. In this study, we use the technology acceptance model and the theory of interpersonal behaviour to predict continued use of information systems. Method: We established a Web questionnaire on the mySurvey Website and recruited participants via social networks. Data were collected from a sample of 1,154 Webmail users in Taiwan. Analysis: Our models are analysed using the partial least squares structural equation modelling method. Results: The results of this study indicate that (1) the theory of interpersonal behaviour has better ability to predict continued use than the technology acceptance model; (2) the technology acceptance model has a better ability to predict intention to continue use than the theory of interpersonal behaviour; (3) the combination between the technology acceptance model and the theory of interpersonal behaviour is properly able to explain continued use of information systems; and (4) multiple group analysis indicates that two relations in the combined model differ significantly between light experience users and heavy experience users. Conclusions: The technology acceptance model and the theory of interpersonal behaviour should not be viewed as alternative but as supplementary models. Moreover, the integration of such two models can properly predict continued use of information systems. (As Provided).
Anmerkungen	Thomas D. Wilson. 9 Broomfield Road, Broomhill, Sheffield, S10 2SE, UK. Web site: http://informationr.net/ir
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01