Advanced

Mobile business intelligence usage patterns

Tona, Olgerta LU (2015) 21st Americas Conference on Information Systems, AMCIS 2015 In 2015 Americas Conference on Information Systems, AMCIS 2015
Abstract

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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Attention scope, Mobile business intelligence, Usage patterns, User's mode
in
2015 Americas Conference on Information Systems, AMCIS 2015
publisher
Americas Conference on Information Systems (AMCIS)
conference name
21st Americas Conference on Information Systems, AMCIS 2015
external identifiers
  • Scopus:84963625949
language
English
LU publication?
yes
id
531ed89e-dd25-45d5-a3b3-10444f53c250
date added to LUP
2016-09-23 13:38:19
date last changed
2016-09-23 13:53:26
@misc{531ed89e-dd25-45d5-a3b3-10444f53c250,
  abstract     = {<p>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.</p>},
  author       = {Tona, Olgerta},
  keyword      = {Attention scope,Mobile business intelligence,Usage patterns,User's mode},
  language     = {eng},
  publisher    = {ARRAY(0x77ad110)},
  series       = {2015 Americas Conference on Information Systems, AMCIS 2015},
  title        = {Mobile business intelligence usage patterns},
  year         = {2015},
}