The emergence of multivariate analysis techniques transforms empirical validation of theoretical concepts in social science and business research. In this context, structural equation modelling (SEM) has emerged as a powerful tool to estimate conceptual models linking two or more latent constructs. This paper shows the suitability of the partial least squares (PLS) approach to SEM (PLS-SEM) in estimating a complex model drawing on the philosophy of verisimilitude and the methodology of soft modelling assumptions. The results confirm the utility of PLS-SEM as a promising tool to estimate a complex, hierarchical model in the domain of big data analytics quality.

With banking channels changing rapidly and multichanneling becoming increasingly widespread, there is a need to understand consumers' choice of channel and the banking tasks for the channel. Using the example of banking services in urban Bangladesh, where multichanneling is expected to become a norm, this research reports on an initial study comparing young consumers' choice of banking channels. Based on the results of a survey among 500 young adults between 18 and 30 years of age in Dhaka city, this study finds that although majority of the respondents did not use mobile banking (m-banking), most of them are interested to do banking on mobile phones. They are interested to do a range of banking related tasks on mobile phones if services are made available. Clearly young consumers in urban Bangladesh are in favour of m-banking and thus, m-banking has a chance to be a success story in Bangladesh.

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