this study aims to examine how open innovation can be effective in changing organizational inertia to create business model innovation and improve firm performance. it also seeks to explore whether the existence of open innovation has a mediating effect and influence. this study constructs a theoretical model to explore the relationship between latent variables and uses a questionnaire to colle...

model building is one of the most important characteristics of human beings. according to a classification, there are three kinds of models. the first type are omdels which are unique to every individual person and every body has his own models. another kind of models are those which are general. theories arise from this kind of models. the third kind are modols for model building and deals wit...

the present study attempts to analyze the evaluation of the central district of ravansar township rural community from the performance of village administrations (dehyari) by using of structural equation modeling (sem). in order to collect needed data, a questionnaire was designed and completed via interviewing the sample population. the observed variables for economical, socio-cultural, servic...

Demonstrates methods of detecting local dependence in binary data latent class models. Latent class models are applied to five repeated measures of voter turnout in the Dutch Parliamentary elections of 2006 and 2010 obtained from a probability sample of 9510 citizens. Modeling substantive local dependence as separate discrete latent variables while modeling nuisance dependencies as direct effec...

the present study was conducted to investigate and formulate the effects of social capital dimensions on entrepreneurial intentions. the population of this study consisted of all fourth year agricultural students of yasouj university (n=196), that by using patten (2002) sampling table, 130 student were selected as the sample using the random simple sampling method. the main instrument of study ...

Structural equation models (SEMs) with latent variables are widely useful for sparse covariance structure modeling and for inferring relationships among latent variables. Bayesian SEMs are appealing in allowing for the incorporation of prior information and in providing exact posterior distributions of unknowns, including the latent variables. In this article, we propose a broad class of semipa...