TY - GEN
T1 - Patterns of resource integration in the self-service approach to business analytics
AU - Bani-Hani, Imad
AU - Tona, Olgerta
AU - Carlsson, Sven
N1 - Publisher Copyright:
© 2020 IEEE Computer Society. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85108173551
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 5359
EP - 5368
BT - Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
A2 - Bui, Tung X.
PB - IEEE Computer Society
T2 - 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
Y2 - 7 January 2020 through 10 January 2020
ER -