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Information Anxiety on Mobile Social Media

Cadier, Agnes LU ; Ding, Jiayi LU and El Khazzar, Sumaia LU (2021) INFM10 20211
Department of Informatics
Abstract
Information anxiety is a phenomenon in which people yield anxiety when receiving information. Mobile social media (MSM) nowadays plays a vital role in communication among the users, which triggered the authors to investigate the phenomenon of information anxiety on MSM in depth. This paper traces the historical developments using selected literature, and proposes a conceptual model (CM) that is made up from three hypotheses. By conducting a mixed-method approach, the objective of the study is twofold. First, the public perception and holistic view of information anxiety on mobile social media is obtained through quantitative survey, and thus eight identified anxiety-provoking phenomenons (IAPPs) are established. Second, interviewing... (More)
Information anxiety is a phenomenon in which people yield anxiety when receiving information. Mobile social media (MSM) nowadays plays a vital role in communication among the users, which triggered the authors to investigate the phenomenon of information anxiety on MSM in depth. This paper traces the historical developments using selected literature, and proposes a conceptual model (CM) that is made up from three hypotheses. By conducting a mixed-method approach, the objective of the study is twofold. First, the public perception and holistic view of information anxiety on mobile social media is obtained through quantitative survey, and thus eight identified anxiety-provoking phenomenons (IAPPs) are established. Second, interviewing employees who work for mobile social media companies to generate professional and detailed measures that can be taken to mitigate the negative effect of information anxiety in terms of eight IAPPs. Finally, the meta-inference is leveraged to compare both quantitative and qualitative data in order to provide rich discussion. This study aims at raising the public awareness of information anxiety and to identify critical and associated research questions where IS scholarship should focus its attention to generate novel theorising regarding the CM and impactful practical insights from the measure as the conclusion. (Less)
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author
Cadier, Agnes LU ; Ding, Jiayi LU and El Khazzar, Sumaia LU
supervisor
organization
alternative title
A mixed method approach to identifying anxiety-provoking phenomena
course
INFM10 20211
year
type
H1 - Master's Degree (One Year)
subject
keywords
Information anxiety, Mobile social media, Identified anxiety-provoking phenomena, IS-oriented Solutions.
report number
INF21-047
language
English
id
9053794
date added to LUP
2021-06-21 12:13:44
date last changed
2021-06-21 12:13:44
@misc{9053794,
  abstract     = {{Information anxiety is a phenomenon in which people yield anxiety when receiving information. Mobile social media (MSM) nowadays plays a vital role in communication among the users, which triggered the authors to investigate the phenomenon of information anxiety on MSM in depth. This paper traces the historical developments using selected literature, and proposes a conceptual model (CM) that is made up from three hypotheses. By conducting a mixed-method approach, the objective of the study is twofold. First, the public perception and holistic view of information anxiety on mobile social media is obtained through quantitative survey, and thus eight identified anxiety-provoking phenomenons (IAPPs) are established. Second, interviewing employees who work for mobile social media companies to generate professional and detailed measures that can be taken to mitigate the negative effect of information anxiety in terms of eight IAPPs. Finally, the meta-inference is leveraged to compare both quantitative and qualitative data in order to provide rich discussion. This study aims at raising the public awareness of information anxiety and to identify critical and associated research questions where IS scholarship should focus its attention to generate novel theorising regarding the CM and impactful practical insights from the measure as the conclusion.}},
  author       = {{Cadier, Agnes and Ding, Jiayi and El Khazzar, Sumaia}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Information Anxiety on Mobile Social Media}},
  year         = {{2021}},
}