Understanding Consumers' Continuance Intention and Word of Mouth in Mobile Commerce Based on Extended UTAUT Model

Literature Review

Technological advancements in the last few decades brought us many new devices and services, and while some of them were adopted by a lot of people in a short time period, others failed that and were forgotten. The problem of explaining and predicting consumer behavior attracts scientists for decades, as well-predicted factors which impact the adoption of some new technology solution may significantly influence its marketing strategy and product/service success. Therefore, many theories and models related to the adoption of new technologies were developed and tested. One of the most important and most frequently used was Technology Acceptance Model (TAM), developed by Davis (1989). This model is based on the theory of reasoned action (TRA), derived by Fishbein and Ajzen (1975) and as main determinants of behavioral intention to use a new technology it suggests attitude towards use, as well as perceived usefulness and perceived ease of use of a new technology. TAM model, with some modifications, was tested in the acceptance prediction of several mobile technologies and services (Kalinic & Marinkovic, 2016). Other important theories used in prediction of acceptance of new technologies are Diffusion of Innovation (DOI) theory, introduced by Rodgers (1995), by which the diffusion of technological innovation is determined by factors such as relative advantage, complexity, trialability and observability, and Task-technology fit (TTF) model, proposed by Goodhue and Thompson (1995), which takes into account how well new technology fits with the tasks it supports. Both models were already successfully tested in the m-commerce acceptance, alone or combined with TAM (Chong, Chan, & Ooi, 2012; Shih & Chen, 2013; Wu & Wang, 2005).