AVOIDING LATE ADOPTION OF DIGITAL INNOVATIONS: A CONFIGURATIONAL PERSPECTIVE
- LanguageENG
- URLhttp://db.koreascholar.com/Article/Detail/351335
pp.710-711
Although researchers have explored mobile commerce (e.g. Ngai & Gunasekaran, 2007), literature on diffusion and adoption of digital innovations lacks an investigation of late adoption and possible solutions to avoid late adoption. This study applies fsQCA and proposes that disparate configurations of causal factors (resistance to innovation, skepticism, traditional mindset, perceived risk, and product simplicity) are equifinal to predict the negation of late adoption of mobile taxi app [mytaxi]. The first path suggests that lower perceived risk and lower resistance to innovation result in the negation of late adoption of the mobile application my taxi. The second and third configurations show that low level of perceived risk with low level of skepticism or low level of perceived risk with low level of traditional mindset also result in negation of late adoption. These three paths are aligned with existing literature, which presents resistance to innovation, skepticism and traditional mindset as characteristics of late adopters (Jahanmir and Lages, 2016; Laukkanen, 2016; Moore, 2014). Finally, low level of resistance to innovation with low level of traditional mindset, low level of skepticism, and low level of perceived product simplicity also lead to the negation of late adoption. This finding is also in line with prior research regarding late adopters’ preference for simple product (Jahanmir and Lages, 2016). The study also presents managerial implications. Results show that in order to avoid late adoption, firms should primarily focus on lowering consumers’ perceived risk as well as their resistance toward their digital innovations. Shifting consumers’ focus from risk to utility and performance of the digitized products is one way of lowering their resistance and increasing the rate of adoption.