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Mobile business intelligence usage patterns

Tona, Olgerta (author)
Lund University,Lunds universitet,Institutionen för informatik,Ekonomihögskolan,Department of Informatics,Lund University School of Economics and Management, LUSEM
 (creator_code:org_t)
2015
2015
English.
In: 2015 Americas Conference on Information Systems, AMCIS 2015. - 9780996683104
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • The generation of new mobile devices and the need to make decisions 'on the move' led to a new technology coined as mobile business intelligence (m-BI). M-BI is different from traditional BI in terms of user profiles, level of analytics and functionalities. Although there is a growing interest from both practitioners and academics, very little is known about m-BI in general and even less on its usage. A case study research is conducted to explore how m-BI usage patterns emerge and develop. M-BI is used to investigate after a trigger, monitor real-time data, control and support liminality. Users engage with m-BI based on the their mode (lean back or lean forward) and attention scope (narrow or wide). However, usage patterns developed are not static as m-BI users engage continuously with different usage patterns when shifting among different modes and attention scopes.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Keyword

Attention scope
Mobile business intelligence
Usage patterns
User's mode

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