Connecting Generation Z Information Systems Students to Technology Through the Task-Technology Fit Theory

Author(s):  
Adriana A. Steyn ◽  
Carina de Villiers ◽  
Joyce Jordaan ◽  
Tshegofatso Pitso
2013 ◽  
Vol 5 (2) ◽  
pp. 62-80
Author(s):  
Agnes Ashianti ◽  
Albertus Fani

The objective of this research is to examine the effect of task-technology fit, trust of accounting information systems, and effectiveness of accounting information systems on the individual performance at a supermarket in Tangerang city.  The samples in this study were employees of a supermarket in Tangerang city who used accounting information system in doing its job. The data used in this study is primary data through questionnaires. In data analysis techniques, this study test the reliability of the formula coefficient of Cronbach 's Alpha, validity test by means of correlation using the r counted and r table, test for normality using Kolmogorov-Smirnov test, the classical assumption, hypothesis testing multiple linear regression, t test, and F test. The results showed that the task-technology fit and trust of accounting information systems each have a significant effect on the individual performance, while the effectiveness of accounting information systems does not significantly influence the individual performance. Task-technology fit, trust of accounting information systems, and the effectiveness of accounting information systems have simultaneous significant effect on the individual performance. Keyword: Task-Technology Fit, Trust of Accounting Information Systems, Effectiveness of Accounting Information Systems, Individual Performance..


Author(s):  
Andrea J. Hester

Information systems have evolved into ubiquitous, Web-based technologies that eliminate the boundaries of time and space, and support higher levels of social interaction. In order to achieve the highest return from information systems, organizations must match the capabilities of technology with their environment. This research proposes a model of Organization-Information System Fit based on task-technology fit and theories of user acceptance. Organization-information system fit may be achieved by balancing technical fit and user fit. Technical fit can be characterized as congruence among process-technology fit and task-technology fit. The idea of user fit is introduced as a moderator of the relationship between technical fit and utilization. Higher degrees of both technical fit and user fit should result in positive impacts on utilization and performance.


2010 ◽  
Vol 12 (6) ◽  
pp. 709-725 ◽  
Author(s):  
Taegoo Terry Kim ◽  
Yong Kun Suh ◽  
Gyehee Lee ◽  
Byong Gil Choi

Author(s):  
Fatma Fourati-Jamoussi ◽  
Claude Narcisse Niamba

The purpose of this paper is to discuss and evaluate the use of businessintelligence (BI) tools by professionals and students to help designers of these tools get the mostefficiency out of a monitoring process. This paper explores the business and competitiveintelligence literature. BI is considered to be a new area in information systems, so literatureresearch was conducted in the area of management information systems (MIS) with twoevaluation models: task-technology fit and technology acceptance to evaluate BI tools. Aquestionnaire was sent to users of business intelligence tools addressed to French companies indifferent trades and engineering students and the most pertinent replies were examined. Theresponses were analyzed using the statistical software SPAD. Results showed a typology fromthe various profiles of users of this technology using the method of classification. We notedifferent perceptions between professional and student users (the clients). Although this studyremains focused on individual perspective, it requires more examination of the organizationalimpact of the use of BI tools. The identification of the different user profiles was done by usinga cluster analysis. For the designers of BI tools these results highlight the importance of userperception, suggesting designers take into account the perception of all user types. As thesetools develop, more and more companies will be looking for skills for monitoring andmanagement of strategic information.


2010 ◽  
Vol 25 (3) ◽  
pp. 259-272 ◽  
Author(s):  
Judith Gebauer ◽  
Michael J Shaw ◽  
Michele L Gribbins

Mobile information technology (IT) holds great promise to support managerial processes; however, clear guidelines of how to design effective mobile Information systems (IS) for use by managers are still lacking. Building on earlier research studies of task-technology fit (TTF) and other areas of IS, this article presents a three-step conceptual model to establish fit between managerial tasks, mobile IT, and the mobile use context, assuming that a good fit positively impacts task performance. We find that use situations characterized by high distraction and poor quality of network connection are particularly challenging for the design of mobile IS, and that the user Interface requires particular attention. Our model contributes to IS research by joining disparate streams of research in an effort to help advance our understanding about the development and utilization of mobile IS. From a practical perspective, we contribute to the success of mobile IS and to the effectiveness of mobile work as It becomes increasingly prevalent in our modern world.


2008 ◽  
Vol 45 (4) ◽  
pp. 1046-1057 ◽  
Author(s):  
Iris Junglas ◽  
Chon Abraham ◽  
Richard T. Watson

2003 ◽  
Vol 22 (3) ◽  
pp. 105-114
Author(s):  
Tim Klaus ◽  
Tibor Gyires ◽  
H. Joseph Wen

Much of research has applied the Task-Technology Fit (TTF) model and the Technology Acceptance Model (TAM) to organizational information systems (OIS) for work-related activities. The Web essentially is a large information system (IS) and is often used for non-work activities. Yet, few studies have related the TTF model and the TAM to the use of Web-based information systems for non-work activities. This paper synthesizes TTF and TAM models and tests whether they are applicable to the Web. The results show that the TAM applies very well to predict the Web user's performance, but the TTF model just produces a weak relationship. The study suggests that the performance of the Web users can be improved through (1) improving the perceived usefulness, (2) improving the perceived ease of use, and (3) having a more aligned task-technology fit.


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