The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Sven Carlsson

Professor emeritus

Default user image.

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

Author

  • Imad Bani-Hani
  • Olgerta Tona
  • Sven Carlsson

Editor

  • Tung X. Bui

Summary, in English

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.

Department/s

  • Department of Informatics

Publishing year

2020

Language

English

Pages

5359-5368

Publication/Series

Proceedings of the Annual Hawaii International Conference on System Sciences

Volume

2020-January

Document type

Conference paper

Publisher

IEEE Computer Society

Topic

  • Economics and Business

Conference name

53rd Annual Hawaii International Conference on System Sciences, HICSS 2020

Conference date

2020-01-07 - 2020-01-10

Conference place

Maui, United States

Status

Published

ISBN/ISSN/Other

  • ISSN: 1530-1605
  • ISBN: 9780998133133