Modes of engagement in SSBA: A service dominant logic perspective

Imad Bani-Hani; Olgerta Tona; Sven Carlsson

Modes of engagement in SSBA: A service dominant logic perspective

Imad Bani-Hani, Olgerta Tona, Sven Carlsson

Research output: Contribution to conference › Paper › peer-review

Abstract

The main premise of self-service business analytics (SSBA) is to make business users autonomous during data analytics. Driven by this potential, organizations are spending resources to design SSBA environmet to empower business employees and decentralize the analytics capabilities. Yet, little is known about how SSBA is facilitating business employees’ independence, and moreover, the value that is co-created. Based on empirical data from a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify three main modes of data engagement in SSBA: no dependency, high dependency, and low dependency. Furthermore, we identify the required business users’ resources in the analytical processes in each mode. We discuss the organizational implications of these findings.

Original language	English
Publication status	Published - 2019
Externally published	Yes
Event	25th Americas Conference on Information Systems, AMCIS 2019 - Cancun, Mexico Duration: Aug 15 2019 → Aug 17 2019

Conference

Conference	25th Americas Conference on Information Systems, AMCIS 2019
Country/Territory	Mexico
City	Cancun
Period	8/15/19 → 8/17/19

Keywords

Interaction
Resource integration
Self-service business analytics
Service dominant logic

ASJC Scopus subject areas

Information Systems

Cite this

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title = "Modes of engagement in SSBA: A service dominant logic perspective",

abstract = "The main premise of self-service business analytics (SSBA) is to make business users autonomous during data analytics. Driven by this potential, organizations are spending resources to design SSBA environmet to empower business employees and decentralize the analytics capabilities. Yet, little is known about how SSBA is facilitating business employees{\textquoteright} independence, and moreover, the value that is co-created. Based on empirical data from a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify three main modes of data engagement in SSBA: no dependency, high dependency, and low dependency. Furthermore, we identify the required business users{\textquoteright} resources in the analytical processes in each mode. We discuss the organizational implications of these findings.",

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author = "Imad Bani-Hani and Olgerta Tona and Sven Carlsson",

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T1 - Modes of engagement in SSBA

T2 - 25th Americas Conference on Information Systems, AMCIS 2019

AU - Bani-Hani, Imad

AU - Tona, Olgerta

AU - Carlsson, Sven

PY - 2019

Y1 - 2019

N2 - The main premise of self-service business analytics (SSBA) is to make business users autonomous during data analytics. Driven by this potential, organizations are spending resources to design SSBA environmet to empower business employees and decentralize the analytics capabilities. Yet, little is known about how SSBA is facilitating business employees’ independence, and moreover, the value that is co-created. Based on empirical data from a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify three main modes of data engagement in SSBA: no dependency, high dependency, and low dependency. Furthermore, we identify the required business users’ resources in the analytical processes in each mode. We discuss the organizational implications of these findings.

AB - The main premise of self-service business analytics (SSBA) is to make business users autonomous during data analytics. Driven by this potential, organizations are spending resources to design SSBA environmet to empower business employees and decentralize the analytics capabilities. Yet, little is known about how SSBA is facilitating business employees’ independence, and moreover, the value that is co-created. Based on empirical data from a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify three main modes of data engagement in SSBA: no dependency, high dependency, and low dependency. Furthermore, we identify the required business users’ resources in the analytical processes in each mode. We discuss the organizational implications of these findings.

KW - Interaction

KW - Resource integration

KW - Self-service business analytics

KW - Service dominant logic

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UR - http://www.scopus.com/inward/citedby.url?scp=85084019639&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85084019639

Y2 - 15 August 2019 through 17 August 2019

ER -

Modes of engagement in SSBA: A service dominant logic perspective

Abstract

Conference

Keywords

ASJC Scopus subject areas

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