Investigating SaaS Providers’ market success based on the Multivariate LGCM Approach | Zendy

Oh Seong Tak | Zendy; Sungbum Park | Zendy

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Investigating SaaS Providers’ market success based on the Multivariate LGCM Approach

Author(s) -

Oh Seong Tak,

Sungbum Park

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.255

Subject(s) - software as a service , computer science , service provider , customer base , multivariate statistics , software , service (business) , marketing , software development , business , operating system , machine learning

In this study, we longitudinally investigate the market success of Software-as-a-Service (SaaS) providers based on customer growth and financial performance. Using a multivariate latent growth curve model (LGCM), we analyzed longitudinal survey data gathered from 199 strategic business units (SBUs) of SaaS providers in Korea for three years. Our results indicate that SaaS idiosyncratic factors did not significantly enhance the software providers’ business values in the early stage, but did significantly affect the growth rate of their customer base and financial performance as the software providers became more mature over time. This study presents additional insights for academia and practitioners

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