A review towards developing a moment of information overload model

2016 ◽  
Author(s):  
Nur Amirah Mustapar ◽  
Natrah Abdullah ◽  
Nor Laila Md Noor
Keyword(s):  
Information Overload

Trust in Management Information Systems (MIS)

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel
Keyword(s):  
Information Systems ◽  
Information Overload ◽  
Management Information Systems ◽  
Empirical Work ◽  
Future Research ◽  
Management Information ◽  
Trust In Management ◽  
Actual Use ◽  
Trust In Technology ◽  
The Internet Of Things

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.

Information Overload and Database Aesthetics

2011 ◽  
Vol 8 (2-3) ◽  
pp. 307-319 ◽  
Author(s):  
Kristin Veel
Keyword(s):  
Information Overload

scholarly journals COVID-19 information overload and generation Z's social media discontinuance intention during the pandemic lockdown

2021 ◽  
Vol 166 ◽  
pp. 120600
Author(s):  
Hongfei Liu ◽  
Wentong Liu ◽  
Vignesh Yoganathan ◽  
Victoria-Sophie Osburg
Keyword(s):  
Social Media ◽  
Information Overload

scholarly journals Assessment of COVID-19 Information Overload Among the General Public

2021 ◽  
Author(s):  
Mustapha Mohammed ◽  
Abubakar Sha’aban ◽  
Abubakar Ibrahim Jatau ◽  
Ismaeel Yunusa ◽  
Abubakar Musa Isa ◽  
...  
Keyword(s):  
General Public ◽  
Information Overload

Personalised attraction recommendation for enhancing topic diversity and accuracy

2021 ◽  
pp. 016555152199980
Author(s):  
Yuanyuan Lin ◽  
Chao Huang ◽  
Wei Yao ◽  
Yifei Shao
Keyword(s):  
Real World ◽  
Information Overload ◽  
Two Stage ◽  
Misclassification Cost ◽  
Second Stage ◽  
Low Visibility ◽  
Recommendation Diversity ◽  
Optimisation Model ◽  
Definition Of ◽  
Improved Methods

Attraction recommendation plays an important role in tourism, such as solving information overload problems and recommending proper attractions to users. Currently, most recommendation methods are dedicated to improving the accuracy of recommendations. However, recommendation methods only focusing on accuracy tend to recommend popular items that are often purchased by users, which results in a lack of diversity and low visibility of non-popular items. Hence, many studies have suggested the importance of recommendation diversity and proposed improved methods, but there is room for improvement. First, the definition of diversity for different items requires consideration for domain characteristics. Second, the existing algorithms for improving diversity sacrifice the accuracy of recommendations. Therefore, the article utilises the topic ‘features of attractions’ to define the calculation method of recommendation diversity. We developed a two-stage optimisation model to enhance recommendation diversity while maintaining the accuracy of recommendations. In the first stage, an optimisation model considering topic diversity is proposed to increase recommendation diversity and generate candidate attractions. In the second stage, we propose a minimisation misclassification cost optimisation model to balance recommendation diversity and accuracy. To assess the performance of the proposed method, experiments are conducted with real-world travel data. The results indicate that the proposed two-stage optimisation model can significantly improve the diversity and accuracy of recommendations.

scholarly journals Antecedents and Consequences of Digital Shadow Work in Mobile Shopping Apps Context

2021 ◽  
Vol 13 (14) ◽  
pp. 7697
Author(s):  
Sung Yul Ryoo ◽  
Sang Cheol Park
Keyword(s):  
Structural Equation ◽  
Information Overload ◽  
Integrative Model ◽  
Equation Modeling ◽  
Structural Components ◽  
Mobile Shopping ◽  
Antecedents And Consequences ◽  
Digital Shadow ◽  
The Relationship ◽  
System Feature

Shadow work continues to witness a significant uptick in the context of mobile shopping. Therefore, we question whether shadow work perceived by mobile shoppers may become a bigger problem, create fatigue for mobile shoppers, and lead them to discontinue the use of mobile shopping apps. This study examines the relationship between shadow work and the discontinuance of mobile shopping apps. Data from a total of 266 completed surveys were collected by a market research firm. We adopted partial least squares structural equation modeling (PLS-SEM) to assess both the measurement and structural components of the model. The results show that both information overload and system feature overload positively influence individuals’ shadow work. This study explores the concept of shadow work in the context of mobile shopping apps. Specifically, the study developed the relationships between the antecedents and consequences of shadow work in the mobile shopping context. The main contribution of our study is that it introduces an integrative model of shadow work in the mobile shopping context, highlighting the importance of shadow work.

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