UUM Electronic Theses and Dissertation
UUM ETD | Universiti Utara Malaysian Electronic Theses and Dissertation
FAQs | Feedback | Search Tips | Sitemap

Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir

Siti Hasanah, Ishak (2015) Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir. Masters thesis, Universiti Utara Malaysia.

[thumbnail of depositpermission_s813512.pdf] Text
depositpermission_s813512.pdf
Restricted to Repository staff only

Download (273kB) | Request a copy
[thumbnail of s813512_01.pdf]
Preview
Text
s813512_01.pdf

Download (2MB) | Preview
[thumbnail of s813512_02.pdf]
Preview
Text
s813512_02.pdf

Download (2MB) | Preview

Abstract

Social media is gaining its popularity as one of the most used ICT platform for information sharing. Recently, social media has been identified as one of the important communication platforms to disseminate information during the event of
disaster. Although it has been acknowledged as one of the most useful platforms to disseminate information, there are situations where this platform has been found notsuitable to support this task. Thus, examining the fit between the task and
technology can enhance the efficiency of information sharing. The main aim of this study is to identify the factors that influenced task technology fit using social mediaespecially Facebook when sharing information during the flood. Theory of task-technology fit (TTF) has been used as an underlying theory for this study. This study administered web based questionnaire as the data collection technique to obtain data from respondent which is the user of National Security Counsil’s
Facebook. Then, the obtained data is analyzed using partial least square (PLS) technique. SmartPLS 2.0 software was used to validate the research model and test the proposed research hypotheses.The findings showed that task characteristic has a
strong influenced over technology characteristic to determine the fit between information sharing task and Facebook technology. Theoretically, this study
developed a better understanding of what influence task technology fit using Facebook to share information during the event of flood; examined the significant factors that contribute to higher task technology fit during the flood; and proposed a
theoretical model that can be used to predict the fit between information sharing task and Facebook during the occurance of flood. Practically, this study contributes by proposing a mechanism to the government agencies on how to improve the fit
between Facebook and information sharing task duringflood.

Item Type: Thesis (Masters)
Supervisor : Hashim, Kamarul Faizal and Ahmad, Mazida
Item ID: 5762
Uncontrolled Keywords: Flood Management, Tacit knowledge, Explicit knowledge, Knowledge sharing, Task-technology fit (TTF) theory, Facebook
Subjects: T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions: Awang Had Salleh Graduate School of Arts & Sciences
Date Deposited: 29 Jun 2016 17:03
Last Modified: 29 Jun 2016 17:03
Department: Awang Had Salleh Graduate School of Arts and Sciences
Name: Hashim, Kamarul Faizal and Ahmad, Mazida
URI: https://etd.uum.edu.my/id/eprint/5762

Actions (login required)

View Item
View Item