TY - JOUR
T1 - The shift to socio-organizational drivers of business intelligence and analytics acceptance
AU - Grublješič, Tanja
AU - Coelho, Pedro Simoes
AU - Jaklič, Jurij
N1 - Grublješič, T., Coelho, P. S., & Jaklič, J. (2019). The shift to socio-organizational drivers of business intelligence and analytics acceptance. Journal of Organizational and End User Computing, 31(2), 37-62. https://doi.org/10.4018/JOEUC.2019040103
PY - 2019/4/1
Y1 - 2019/4/1
N2 - The growing importance of IT in new ways of doing business, bringing with it ever greater empowerment, competencies, and skills of people associated with IT use, reveals that traditional views that individuals decide to accept new or emerging IT mostly based on their effort and performance perceptions or a similar individualistic utilitarian criteria may no longer satisfactorily explain the individual's acceptance behavior. Socio-organizational considerations encompassing normative and behavioral beliefs have so far only been recognized as potential additional predictors of acceptance, moderated, or mediated by certain effects and circumstances, whereas performance perceptions remain the strongest predictor of IS acceptance. The authors' mixed-methods study drives acceptance in the business intelligence and analytics (BI&A) context, comprising literature review, case studies and a survey, which reveals socio-organizational considerations have become more important than individualistic considerations arising from the visibility and recognition of the results of BI&A use in an organization.
AB - The growing importance of IT in new ways of doing business, bringing with it ever greater empowerment, competencies, and skills of people associated with IT use, reveals that traditional views that individuals decide to accept new or emerging IT mostly based on their effort and performance perceptions or a similar individualistic utilitarian criteria may no longer satisfactorily explain the individual's acceptance behavior. Socio-organizational considerations encompassing normative and behavioral beliefs have so far only been recognized as potential additional predictors of acceptance, moderated, or mediated by certain effects and circumstances, whereas performance perceptions remain the strongest predictor of IS acceptance. The authors' mixed-methods study drives acceptance in the business intelligence and analytics (BI&A) context, comprising literature review, case studies and a survey, which reveals socio-organizational considerations have become more important than individualistic considerations arising from the visibility and recognition of the results of BI&A use in an organization.
KW - Business Intelligence and Analytics
KW - IT/IS Acceptance
KW - Result Demonstrability
KW - Social Influence
KW - Socio-Organizational Drivers
UR - http://www.scopus.com/inward/record.url?scp=85062861934&partnerID=8YFLogxK
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000467722800003
U2 - 10.4018/JOEUC.2019040103
DO - 10.4018/JOEUC.2019040103
M3 - Article
AN - SCOPUS:85062861934
SN - 1546-2234
VL - 31
SP - 37
EP - 62
JO - Journal of Organizational and End User Computing
JF - Journal of Organizational and End User Computing
IS - 2
ER -