The Distinct Roles of Prior IT Use and Habit Strength in Predicting Continued Sporadic Use of IT

被引：0

作者：

Wilson, E. Vance ^{[1
]}

Mao, En ^{[2
]}

Lankton, Nancy K. ^{[3
]}

机构：

[1] Worcester Polytech Inst, Sch Business, Worcester, MA 01609 USA

[2] Nicholls State Univ, Coll Business Adm, Informat Syst, Thibodaux, LA 70310 USA

[3] Marshall Univ, Lewis Coll Business, Huntington, WV 25755 USA

来源：

COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS | 2010年 / 27卷

关键词：

frequency of IT use; stability of IT use; prior behavior; habit; rational models; models of behavior;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article studies prediction of continued IT use in conditions where individuals use the technology sporadically. Our study augments the unified theory of acceptance and use of technology (UTAUT) model [Venkatesh et al., 2003] with measures of prior IT use frequency and habit strength. We find these two factors provide distinct predictions which explain most of the effects that occur within the model under sporadic use conditions.

引用

页码：185 / 206

页数：22

共 50 条

[31] Sporadic Campylobacter jejuni infections in Hawaii:: Associations with prior antibiotic use and commercially prepared chicken
Effler, P
Ieong, MC
Kimura, A
Nakata, M
Burr, R
Cremer, E
Slutsker, L
JOURNAL OF INFECTIOUS DISEASES, 2001, 183 (07): : 1152 - 1155
[32] Predicting mobile use for big-event content: the role of active choice, habit and structure
Tang, Tang
Cooper, Roger
INTERNATIONAL JOURNAL OF MOBILE COMMUNICATIONS, 2019, 17 (02) : 174 - 190
[33] Roles of alternative and self-oriented perspectives in the context of the continued use of social network sites
Kang, Young Sik
Min, Jinyoung
Kim, Jeoungkun
Lee, Heeseok
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2013, 33 (03) : 496 - 511
[34] A Habit Strength-Based Explanation for Auditors' Use of Simple Cognitive Processes for Complex Tasks
Bonner, Sarah E.
Kadous, Kathryn
Majors, Tracie M.
ACCOUNTING REVIEW, 2022, 97 (03): : 107 - 129
[35] USE OF MELT STRENGTH IN PREDICTING PROCESSABILITY OF POLYETHYLENE EXTRUSION COATING RESINS
KALTENBACHER, EJ
HOWARD, CB
PARSON, HD
TAPPI, 1967, 50 (01): : 20 - +
[36] On the use of artificial intelligence in predicting the compressive strength of various cardboard packaging
Gajewski, Tomasz
Grabski, Jakub K.
Cornaggia, Aram
Garbowski, Tomasz
PACKAGING TECHNOLOGY AND SCIENCE, 2024, 37 (02) : 97 - 105
[37] The Combined Roles of Race/Ethnicity and Substance Use in Predicting Likelihood of Kidney Transplantation
DeBlasio, Richelle N.
Myaskovsky, Larissa
DiMartini, Andrea F.
Croswell, Emilee
Posluszny, Donna M.
Puttarajappa, Chethan
Switzer, Galen E.
Shapiro, Ron
Dabbs, Annette J. DeVito
Tevar, Amit D.
Hariharan, Sundaram
Dew, Mary Amanda
TRANSPLANTATION, 2022, 106 (04) : E219 - E233
[38] Predicting behavioral profiles of online extremists through linguistic use of social roles
De Bruyn, Phillip Conrad
BEHAVIORAL SCIENCES OF TERRORISM AND POLITICAL AGGRESSION, 2021, 13 (04) : 295 - 319
[39] Incentives, morality, or habit? Predicting students' car use for university routes with the models of Ajzen, Schwartz, and Triandis
Bamberg, S
Schmidt, P
ENVIRONMENT AND BEHAVIOR, 2003, 35 (02) : 264 - 285
[40] Intra-amygdala anxiogenic drug infusion prior to retrieval biases rats towards the use of habit memory
Elliott, Audrea E.
Packard, Mark G.
NEUROBIOLOGY OF LEARNING AND MEMORY, 2008, 90 (04) : 616 - 623

← 1 2 3 4 5 →