Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality

Production Planning and Control

Volumn 28, Issue 11-12, 2017, Pages 1011-1021

  Akter, Shahriar ^a   Fosso Wamba, Samuel ^b   Dewan, Saifullah ^c  

^a UNIVERSITY OF WOLLONGONG   (Australia)

^b TOULOUSE BUSINESS SCHOOL   (France)

^c UNIVERSITY OF CANBERRA   (Australia)

Author keywords

big data; big data analytics quality; business value; PLS SEM; satisfaction

Indexed keywords

HIERARCHICAL SYSTEMS; LEAST SQUARES APPROXIMATIONS; MULTIVARIANT ANALYSIS;

BUSINESS VALUE; DATA ANALYTICS; EMPIRICAL VALIDATION; HIERARCHICAL MODEL; MULTIVARIATE ANALYSIS TECHNIQUES; PARTIAL LEAST SQUARE (PLS); SATISFACTION; STRUCTURAL EQUATION MODELLING (SEM);

BIG DATA;

EID: 85022215085     PISSN: 09537287     EISSN: 13665871     Source Type: Journal    
DOI: 10.1080/09537287.2016.1267411     Document Type: Article

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