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Technology in its context: A literature review of the macro and micro levels of business intelligence
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.ORCID iD: 0000-0003-4459-5555
2018 (English)In: International Journal of Business Intelligence and Data Mining, ISSN 1743-8187, no 1/2/3, p. 347-368Article in journal (Refereed) Published
Abstract [en]

The purpose of the literature review is to identify characteristics, concepts, and theories of business intelligence (BI). The status quo of BI is based on the literature review, which covers 86 journal articles from the three areas of accounting, strategy, and information systems between 2006 and 2014. The review combines two established frameworks to illustrate new insights regarding the macro and micro levels of BI. The complementary combination of both levels produces a new lens that shows the conceptualisation and characteristics of BI in a holistic view. The result of the study shows that BI is used as a monolithic concept and static tool with technical control mechanisms. Another result implies that BI is in a phase of maturity, in which it fulfils an organisational purpose without considering its social context or ecosystem in which it occurs. The literature review contributes to the characterisation and theorisation of BI and shows that a company depend on both characteristics and the purpose for which BI is used.

Place, publisher, year, edition, pages
United Kingdom, 2018. no 1/2/3, p. 347-368
Keywords [en]
accounting, business intelligence, conceptualisation, information systems, literature review, macro level, measurement system, micro level, strategy, technology
National Category
Business Administration
Research subject
Information Systems; Business Studies
Identifiers
URN: urn:nbn:se:uu:diva-342550DOI: 10.1504/IJBIDM.2018.088439OAI: oai:DiVA.org:uu-342550DiVA, id: diva2:1184700
Available from: 2018-02-22 Created: 2018-02-22 Last updated: 2018-08-14Bibliographically approved
In thesis
1. Business Intelligence through a sociomaterial lens: The imbrication of people and technology in a sales process
Open this publication in new window or tab >>Business Intelligence through a sociomaterial lens: The imbrication of people and technology in a sales process
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Digitalization and digital devices are on the rise, and as a result, many new products and services have been developed, which has led to greater interaction between people and technology. This thesis explores the interaction between people and technology by looking at the daily use of a business intelligence (BI) system in an automotive company’s sales process, where sellers use the system to analyze, report, and measure sales performance. The thesis is based on a single case study, and the data sources are in-depth interviews, observations, and archival data.

The theoretical perspective is grounded in the concept of sociomateriality and its notion of the imbrication of people and technology. Specifically, this work explores the research question ‘How does imbrication between people and technology develop during daily use of BI systems?’ The main theoretical finding is that three phases of imbrication can describe theses interactions, and these phases coincide with three situations in which people and technology must interact: automation of transactional work (Imbrication Phase 1), ‘informating’ of analytical work (Imbrication Phase 2), and transformation of work (Imbrication Phase 3). These three Imbrication Phases demonstrate the social dynamics at play when people interact with technology (specifically with BI). This contribution therefore extends the concept of imbrication within the field of sociomateriality. The primary empirical contribution is to illustrate the daily use and practice of BI within a sales process.

Place, publisher, year, edition, pages
Uppsala: Department of Business Studies, Uppsala University, 2018. p. 129
Series
Doctoral thesis / Företagsekonomiska institutionen, Uppsala universitet, ISSN 1103-8454 ; 196
Keywords
big data, business intelligence, business intelligence systems, data analytics, digital transformation, imbrication, sales process, sociomateriality, sociomaterial imbrication model, work shadowing
National Category
Business Administration
Identifiers
urn:nbn:se:uu:diva-357306 (URN)978-91-506-2719-0 (ISBN)
Public defence
2018-10-02, Hörsal 2, Ekonomikum, Kyrkogårdsgatan 10, Uppsala, 13:15 (English)
Opponent
Supervisors
Available from: 2018-09-07 Created: 2018-08-14 Last updated: 2018-09-13

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Fischer, Tobias Christian

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