Ales Popovic

Dr. Ales Popovic

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2014 in International Journal of Information Management
Verified
Journal Article
Closed access
CMCarolina Martins
Carolina Martins
TOTiago Oliveira
Tiago Oliveira
APAles Popovic
Ales Popovic

1 October 2014 in International Journal of Information Management
Verified
Journal Article
Closed access
TOTiago Oliveira
Tiago Oliveira
MFMiguel Faria
Miguel Faria
MTManoj Abraham Thomas
Manoj Abraham Thomas
APAles Popovic
Ales Popovic

1 December 2013 in Decision Support Systems
Verified
Journal Article
Closed access
CLCaroline Lancelot-Miltgen
Caroline Lancelot-Miltgen
APAles Popovic
Ales Popovic
TOTiago Oliveira
Tiago Oliveira

1 December 2012 in Decision Support Systems
Verified
Journal Article
Closed access
APAles Popovic
Ales Popovic
RHRay Hackney
Ray Hackney
PCPedro Simões Coelho
Pedro Simões Coelho
JJJurij Jaklič
Jurij Jaklič

28 October 2016 in Information Systems Frontiers
Verified
Journal Article
Closed access
PDF file
APAles Popovic
Ales Popovic
RHRay Hackney
Ray Hackney
RTRana Tassabehji
Rana Tassabehji
Mauro CastelliMauro Castelli
Mauro Castelli

5 February 2018 in Industrial Management & Data Systems
Verified
Journal Article
Closed access
BPBorut Puklavec
Borut Puklavec
TOTiago Oliveira
Tiago Oliveira
APAles Popovic
Ales Popovic
Purpose: The purpose of this paper is to provide a better understanding of the determinants of business intelligence system (BIS) adoption stages. It develops and empirically tests a conceptual model for assessing the determinants of BIS diffusion on the evaluation, adoption, and use stages in the context of small and medium enterprises (SMEs). Design/methodology/approach: Drawing on data from 181 SMEs the influence of technological, organizational, and environmental factors on BIS adoption stages were analyzed using the PLS-SEM method. Findings: The paper provides empirical insights about how technological, organizational, and environmental factors affect individual BIS adoption stages. Practical implications: The paper includes implications for managers and solution providers to understand the influence of various determinants to more effectively conclude the adoption process. Originality/value: This study represents important progress in the theoretical understanding of the role of technological, organizational, and environmental factors across the different BIS adoption stages.