Innovative user engagement and playfulness on adoption intentions of technological products: evidence from SEM-based multivariate approach

Abstract

Using ubiquitous computing devices, also UCD, is a conscious decision made by consumers, success of which depends on how much it involves and engages the user that results in functional, hedonic and social experiences in user's context and long-term success for organization. User engagement, tested in multifarious concepts, indicates that experiences that are significantly hedonic create an affective bond with the device and deliver high value to the consumer. This study verifies and investigates the dispositional and impacting factors that influence a consumer's adoption intention for radical or incremental innovation or loyalty to an incumbent ubiquitous computing device through concept of user engagement, self-congruity theory, innovativeness and playfulness. The research was based on a survey questionnaire collected from users of ubiquitous computing devices (UCDs) belonging to an educated urban population from an age group of 18 to 35 years residing in Karachi through convenience and self-selection sampling. In total, 654 complete responses were received coded in SPSS and the model was analysed through AMOS 23.0. Results indicate that three dimensions of user engagement are significant for ubiquitous computing devices (UCDs): focused attention, interaction appeal and perceived usability. The first two are significantly positive towards playfulness creating an association with self-concept leading to innovative consumer's innovation adoption and others having loyalty with incumbent device. The research theoretically contributes by identification of user engagement dimensions and significance of incumbent loyalty in innovation adoption phenomenon.

The Influence of a Firm’s CSR Initiatives on Brand Loyalty and Brand Image

“…The minimum value of NFI is considered to be above 0.90, but if its value lies below 0.90, it is suggested to check the non-normed fit indices value (NNFI). SmartPLS 3.0 has a limitation that the NNFI value cannot be calculated (Hussain et al, 2019). Therefore, it can be seen that the model fit has been ensured for the current study through the different model fit indices offered by SmartPLS 3.0.…”

The evolution of the financial technology ecosystem: An introduction and agenda for future research on disruptive innovations in ecosystems

“…Online banking has become popular as the smartphone market has grown (Hussain et al, 2019). An estimated 46% of consumers use only digital channels such as mobile phones, PCs, and tablets for banking services, which represents a huge increase from 27% in 2012.…”

Consumers’ purchase decision in the context of western imported food products: Empirical evidence from Pakistan

“…Outer Loading Matrix: During the factor analysis, The researchers removed items with low outer loading <0.60 or high cross-loadings>0.40, particularly from purchase behavior and product attributes [ 57 ]. The remaining items in factor analysis have outer loadings greater than 0.60 [ 67 ]. Table 6 displays the items selected for construct validity, which confirms the existence of eight variables in the conceptual framework [ 52 , 57 ].…”