An exploratory study investigating how and why managers use tablets to support managerial decision-making

Research output: Contribution to journalArticle

Abstract

Managers are often mobile and a large proportion of their work is dealing with decisions. Although many managers currently use tablet computers in their work, there is little research on the use of tablets for managerial decision-support. This exploratory study aims to investigate the ways in which managers use tablets to support their decision-making and the reasons why they do so. Using Task-Technology Fit theory, semi-structured interviews were conducted with 20 managers, 17 of whom used tablets for their work-related decision-making. The study reveals managers' tablet usage patterns in terms of location, tablet applications, decision activities and types. This study has also found that a range of tablet characteristics and decision-task characteristics affect managers' use of tablets to support decision-making at work. This exploratory study contributes to both academia and industry by providing evidence on the tablet decision-support area, and affording organisations, tablet vendors and tablet application developers informative findings for further improvement in the provision of tablet-based decision support.

LanguageEnglish
Article number1706
Pages1-15
Number of pages15
JournalAustralasian Journal of Information Systems
Volume21
DOIs
StatePublished - 2017

Keywords

  • Business intelligence
  • Decision support
  • Managers
  • Mobile business intelligence
  • Mobile decision support
  • Tablets
  • Task-Technology Fit
  • Technology use

Cite this

@article{2ec1299ea1164fa3908bc27ad778515b,
title = "An exploratory study investigating how and why managers use tablets to support managerial decision-making",
abstract = "Managers are often mobile and a large proportion of their work is dealing with decisions. Although many managers currently use tablet computers in their work, there is little research on the use of tablets for managerial decision-support. This exploratory study aims to investigate the ways in which managers use tablets to support their decision-making and the reasons why they do so. Using Task-Technology Fit theory, semi-structured interviews were conducted with 20 managers, 17 of whom used tablets for their work-related decision-making. The study reveals managers' tablet usage patterns in terms of location, tablet applications, decision activities and types. This study has also found that a range of tablet characteristics and decision-task characteristics affect managers' use of tablets to support decision-making at work. This exploratory study contributes to both academia and industry by providing evidence on the tablet decision-support area, and affording organisations, tablet vendors and tablet application developers informative findings for further improvement in the provision of tablet-based decision support.",
keywords = "Business intelligence, Decision support, Managers, Mobile business intelligence, Mobile decision support, Tablets, Task-Technology Fit, Technology use",
author = "Meng Xiao and Rob Meredith and Shijia Gao",
year = "2017",
doi = "10.3127/ajis.v21i0.1706",
language = "English",
volume = "21",
pages = "1--15",
journal = "Australasian Journal of Information Systems",
issn = "1449-8618",
publisher = "Australasian Association for Information Systems",

}

TY - JOUR

T1 - An exploratory study investigating how and why managers use tablets to support managerial decision-making

AU - Xiao,Meng

AU - Meredith,Rob

AU - Gao,Shijia

PY - 2017

Y1 - 2017

N2 - Managers are often mobile and a large proportion of their work is dealing with decisions. Although many managers currently use tablet computers in their work, there is little research on the use of tablets for managerial decision-support. This exploratory study aims to investigate the ways in which managers use tablets to support their decision-making and the reasons why they do so. Using Task-Technology Fit theory, semi-structured interviews were conducted with 20 managers, 17 of whom used tablets for their work-related decision-making. The study reveals managers' tablet usage patterns in terms of location, tablet applications, decision activities and types. This study has also found that a range of tablet characteristics and decision-task characteristics affect managers' use of tablets to support decision-making at work. This exploratory study contributes to both academia and industry by providing evidence on the tablet decision-support area, and affording organisations, tablet vendors and tablet application developers informative findings for further improvement in the provision of tablet-based decision support.

AB - Managers are often mobile and a large proportion of their work is dealing with decisions. Although many managers currently use tablet computers in their work, there is little research on the use of tablets for managerial decision-support. This exploratory study aims to investigate the ways in which managers use tablets to support their decision-making and the reasons why they do so. Using Task-Technology Fit theory, semi-structured interviews were conducted with 20 managers, 17 of whom used tablets for their work-related decision-making. The study reveals managers' tablet usage patterns in terms of location, tablet applications, decision activities and types. This study has also found that a range of tablet characteristics and decision-task characteristics affect managers' use of tablets to support decision-making at work. This exploratory study contributes to both academia and industry by providing evidence on the tablet decision-support area, and affording organisations, tablet vendors and tablet application developers informative findings for further improvement in the provision of tablet-based decision support.

KW - Business intelligence

KW - Decision support

KW - Managers

KW - Mobile business intelligence

KW - Mobile decision support

KW - Tablets

KW - Task-Technology Fit

KW - Technology use

UR - http://www.scopus.com/inward/record.url?scp=85035359449&partnerID=8YFLogxK

U2 - 10.3127/ajis.v21i0.1706

DO - 10.3127/ajis.v21i0.1706

M3 - Article

VL - 21

SP - 1

EP - 15

JO - Australasian Journal of Information Systems

T2 - Australasian Journal of Information Systems

JF - Australasian Journal of Information Systems

SN - 1449-8618

M1 - 1706

ER -