Akademik Veri Yönetim Sistemi
Young Business and Industrial Statisticians Workshop (y-BIS) 2019, İstanbul, Türkiye, 25 - 28 Eylül 2019, ss.20
Structural equation modelling (SEM) is a statistical analysis method that can be used to
calculate
relationships between variables in complex models. SEM is a preferred
method for complex social models because of its ability to calculate
effects of normally unmeasurable or unobservable variables on each
other. This is made possible by using measurable indicators to
understand the effect of unmeasurable (latent) variables. There are two
different general approaches to SEM analysis, covariance based (CB)-SEM
and Partial Least Squares (PLS)-SEM methods. Technology adoption models
are complex social models. They are used to estimate factors that affect
users’ intention to adopt or use innovations over the previous
alternatives. These factors might include personal reasons,
environmental factors, or business-related depending on the context of
the technology and population in the study.
This study is a technology adoption study specifically focusing on the adoption of cloud
computing services in software development projects. To model the use intention, a hybrid
conceptual
model is developed with the inclusion of a novel variable structure
(called Person-Organisation-Project, POP) to two existing theories in
literature, namely Technology Acceptance Model (TAM) and
Technology-Organisation-Environment (TOE). A questionnaire is designed
and personally administered questionnaire sessions are conducted in 30
different software development organisations. 268 valid observations are
collected for statistical analysis. Hypotheses based on the conceptual
model are tested with CB-SEM and PLS-SEM methods. Thus, the suggested
hybrid model is evaluated and also two SEM approaches are compared in
the context of a cloud adoption in software development study. After
modifications, the final model is reached. The novel hybrid technology
adoption model is validated and several practical conclusions are drawn
about the population and cloud use in software development.