Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Patterns of resource integration in the self-service approach to business analytics

Bani-Hani, Imad LU ; Tona, Olgerta LU and Carlsson, Sven LU (2020) 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 In Proceedings of the Annual Hawaii International Conference on System Sciences 2020-January. p.5359-5368
Abstract

The main premise of Self-Service Business Analytics (SSBA) is to make business employees autonomous during the data analytical process. To empower business employees, organizations are decentralizing their analytical capabilities through an SSBA approach. Yet, little is known about how employees integrate resources, such as, among others, personal competencies, environment resources including technology, and to generate insights in SSBA. Based on the empirical data of a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify and explain two types of resource integration in an SSBA environment: direct and clustered resource integration (including 1st tier and 2nd tier) enabled and... (More)

The main premise of Self-Service Business Analytics (SSBA) is to make business employees autonomous during the data analytical process. To empower business employees, organizations are decentralizing their analytical capabilities through an SSBA approach. Yet, little is known about how employees integrate resources, such as, among others, personal competencies, environment resources including technology, and to generate insights in SSBA. Based on the empirical data of a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify and explain two types of resource integration in an SSBA environment: direct and clustered resource integration (including 1st tier and 2nd tier) enabled and controlled by three types of institutions. We finally discuss some organizational implications and the meaning of each sub-type of clustered resource integration.

(Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
series title
Proceedings of the Annual Hawaii International Conference on System Sciences
editor
Bui, Tung X.
volume
2020-January
pages
10 pages
publisher
IEEE Computer Society
conference name
53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
conference location
Maui, United States
conference dates
2020-01-07 - 2020-01-10
external identifiers
  • scopus:85108173551
ISSN
1530-1605
ISBN
9780998133133
language
English
LU publication?
yes
id
827a04d3-2dfa-4de8-8c98-8dc24940295e
date added to LUP
2021-07-14 15:12:46
date last changed
2025-04-04 15:00:18
@inproceedings{827a04d3-2dfa-4de8-8c98-8dc24940295e,
  abstract     = {{<p>The main premise of Self-Service Business Analytics (SSBA) is to make business employees autonomous during the data analytical process. To empower business employees, organizations are decentralizing their analytical capabilities through an SSBA approach. Yet, little is known about how employees integrate resources, such as, among others, personal competencies, environment resources including technology, and to generate insights in SSBA. Based on the empirical data of a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify and explain two types of resource integration in an SSBA environment: direct and clustered resource integration (including 1st tier and 2nd tier) enabled and controlled by three types of institutions. We finally discuss some organizational implications and the meaning of each sub-type of clustered resource integration.</p>}},
  author       = {{Bani-Hani, Imad and Tona, Olgerta and Carlsson, Sven}},
  booktitle    = {{Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020}},
  editor       = {{Bui, Tung X.}},
  isbn         = {{9780998133133}},
  issn         = {{1530-1605}},
  language     = {{eng}},
  pages        = {{5359--5368}},
  publisher    = {{IEEE Computer Society}},
  series       = {{Proceedings of the Annual Hawaii International Conference on System Sciences}},
  title        = {{Patterns of resource integration in the self-service approach to business analytics}},
  volume       = {{2020-January}},
  year         = {{2020}},
}