Evaluating the effects of task–individual–technology fit in multi-DSS models context: A two-phase view

Liu, Yucong; Lee, Younghwa; Chen, Andrew N. K.

doi:10.1016/j.dss.2011.03.009

Cited by 48 publications

(26 citation statements)

References 48 publications

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“…Measurements [6,9,15] Model [3,17,[22][23][24][25] Summarize [8] Test [26,27] Assess Phenomena Antecedents [5,13,[28][29][30][31] Effects Impact/Benefit [32,33,42,[34][35][36][37][38][39][40][41] (Intention to) Use [4,12,16,[43][44][45][46][47] The two high level categories were used to determine the trends in the type of studies published over time. The cumulative number of studies published for the two highest-level categories was calculated over time and depicted in Fig.…”

Section: Generate Theorymentioning

confidence: 99%

A Scoping Review of the Application of the Task-Technology Fit Theory

Spies

Grobbelaar

Botha

2020

Lecture Notes in Computer Science

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The Task-Technology Fit (TTF) theory provides a means of quantifying the effectiveness of technology in a system by assessing the relationship between the technology and the tasks the technology aims to support. The theory is widely recognized and has been applied in various ways, but little work has been done to summarize and synthesize the application of TTF in literature. The aim of this study is to identify and summarize the focus areas of studies that applied TTF, the environment in which it was applied, and the technologies which were considered by conducting a scoping review. It was found that applied studies focused primarily on generating theory or assessing certain realworld phenomena; was applied in a wide range of environments with the majority being in healthcare; and considered various technologies, with an increasing number of studies focusing on mobile technology. The findings of this study contribute to the understanding of TTF applications and assists in framing future research to further analyze TTF studies.

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Section: Generate Theorymentioning

confidence: 99%

A Scoping Review of the Application of the Task-Technology Fit Theory

Spies

Grobbelaar

Botha

2020

Lecture Notes in Computer Science

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“…Starting with a major limitation in the IS literature, thus far there has been an oversimplified focus on specific factors relating to user performance [48]. Most of the previous studies relied either on dispositional factors such as attitudes and attention to use, or they focused on situational factors such as user satisfaction, system utilization, and usefulness, with an elaboration on user satisfaction as a popular measure of IS impact [43], [40], [41]; some of these studies investigated different subsets of factors in the traditional systems environment, such as operational systems.…”

Section: Introductionmentioning

confidence: 99%

Exploring Factors Affecting End-user Performance of Information Systems

Abugabah¹,

Sanzogni²

2014

IJI

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“…The TTF model argues that m-banking for a high TTF level will encourage the use of mbanking, and conversely, a lower level of compatibility will reduce the user's intention to adopt m-banking (Liu, Lee, and Chen, 2011) [11]. TTF is directly and positively influenced by the user's attitude towards technology on individual performance.…”

Section: Task Technology Fit In Mobile Bankingmentioning

confidence: 99%

Satisfaction of Using Mobile Banking in Islamic Banks: TTF and Information Quality Perspective

Deswanto¹

2020

Proceedings of the Proceedings of the First Annual Conference of Economics, Business, and Social Science, ACEBISS 2019, 26 - 30

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The purpose of this paper is to evaluate the impact of Fit Technology Task (TTF) and Information Quality (QI) on User Satisfaction (US) mobile banking applications in Islamic banking in Jakarta, Indonesia. Quantitative methodology was used in this study and data was collected through a written questionnaire. The measurement items used in the operationalization of the research instruments were adopted from previous related studies. The findings show that the suitability of technology and tasks of mobile banking customers, and the quality of information about mobile banking applications are important factors that influence customer satisfaction. This research is only limited to the study of the influence of TTF and IQ and still requires further research to observe the factors that influence customer satisfaction in using mobile banking. Through this research, it is expected to be able to make a positive contribution to finance and technology, especially with the development of Fintech (financial technology) and banking technologies such as mobile banking. Practically, this research is expected to contribute to Islamic banking in Indonesia by taking into account the development of mobile banking application technology that is able to provide compatibility between technology and tasks and technology that is able to provide optimal quality information to generate customer satisfaction in using mobile banking.

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Evaluating the effects of task–individual–technology fit in multi-DSS models context: A two-phase view

Cited by 48 publications

References 48 publications

A Scoping Review of the Application of the Task-Technology Fit Theory

A Scoping Review of the Application of the Task-Technology Fit Theory

Exploring Factors Affecting End-user Performance of Information Systems

Satisfaction of Using Mobile Banking in Islamic Banks: TTF and Information Quality Perspective

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