IT business value research has identified a dual role of IT investment: to increase the firm’s productivity by improving or replacing other inputs, and to reshape intermediate value-creation processes. Innovation is one such process that has been recognised as critically important. This paper incorporates the innovation process in a model of overall production to estimate the effect of IT in th...

This paper investigates how social factors predict attitude towards gamification and intention to continue using gamified services, as well as intention to recommend gamified services to others. The paper employs structural equation modelling for analyses of data (n=107) gathered through a survey that was conducted among users of one of the world’s largest gamification applications for physical...

Many studies have focused on the relationship between vegetation biomass and environmental factors in grassland. However, several questions remain to be answered, especially with regards to the spatial pattern of vegetation biomass. Thus, the distributed mechanism will be explored in the present study. Here, plant biomass was measured at 23 sites along a transect survey during the peak growing ...

The present study examined the components of end of kindergarten writing, using data from 242 kindergartners. Specifically of interest was the importance of spelling, letter writing fluency, reading, and word- and syntax-level oral language skills in writing. The results from structural equation modeling revealed that oral language, spelling, and letter writing fluency were positively and uniqu...

Examination of functional interactions through effective connectivity requires the determination of three distinct levels of information: (1) the regions involved in the process and forming the spatial support of the network, (2) the presence or absence of interactions between each pair of regions, and (3) the directionality of the existing interactions. While many methods exist to select regio...

Evaluating overall model fit for growth curve models involves 3 challenging issues. (a) Three types of longitudinal data with different implications for model fit may be distinguished: balanced on time with complete data, balanced on time with data missing at random, and unbalanced on time. (b) Traditional work on fit from the structural equation modeling (SEM) perspective has focused only on t...