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Information Systems Frontiers
Erschienen in: Information Systems Frontiers 3/2020

08.09.2018

Examining the impacts of mental workload and task-technology fit on user acceptance of the social media search system

verfasst von: Yan (Mandy) Dang, Yulei (Gavin) Zhang, Susan A. Brown, Hsinchun Chen

Erschienen in: Information Systems Frontiers | Ausgabe 3/2020

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Abstract

Information overload has been an important issue in today’s big data era where a huge amount of unstructured user-generated content in different languages is being created on the Web in every minute. Social media search systems could help with it by effectively and efficiently collecting, storing, organizing and presenting user-generated content across the Web in an organized and timely manner. However, little research has been done to examine factors that could influence user acceptance on this new type of systems. To address it, this study develops a research model by integrating Mental Workload (MWL), Task-Technology Fit (TTF), and the unified theory of acceptance and use of technology (UTAUT). The model is tested on a security-related social media search system. The results indicate that both MWL and TTF can significantly influence user acceptance. We also operationalize the multi-dimensional latent construct of MWL by developing survey-based measurement items for different dimensions.
Vorheriger Artikel The Digital Divide and Older Adult Population Adoption, Use and Diffusion of Mobile Phones: a Quantitative Study
Nächster Artikel An Exploration of the Role of Service Recovery in Negative Electronic Word-of-Mouth Management

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Fußnoten
1
There are generally two ways to measure MWL, including objective and subjective measures. In this study (please see details in Section 4.3), we used the subjective measure by creating measurement items based on NASA-TLX and asking users to provide self-assessment on those items. Therefore, the MWL concept used in this study is about the perception, which is consistent with all other constructs in the proposed research model.
 
2
We used the past tense for EE and PE based on the rationale that participated had already used the system before working on the questionnaire, and their ratings on the related measures were based on this prior system usage experience. As to BI, SI, and FC, they are constructs that are not directly related to participants’ prior system usage behavior, but about their general perceptions and feelings. We understand that this is not consistent with the original UTAUT paper, in which all measurement items are in the present tense, and we acknowledge that it might be a potential limitation.
 
3
We acknowledge that some correlation values are closer, and this could be a potential limitation of the study. However, as mentioned in the main text, they did not exceed the general guideline.
 
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Metadaten
Titel
Examining the impacts of mental workload and task-technology fit on user acceptance of the social media search system
verfasst von
Yan (Mandy) Dang
Yulei (Gavin) Zhang
Susan A. Brown
Hsinchun Chen
Publikationsdatum
08.09.2018
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 3/2020
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-018-9879-y

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