PurposeMost previous studies on new technologies and services have concentrated on their acceptance, seldom exploring in depth why users may choose not to accept technology or service and remain “non-users.” This study aims to understand free platform users' intention to switch to paid subscription platforms.Design/methodology/approachThis study utilized push-pull-mooring (PPM) theory to investigate free OTT platform viewers' switching intentions toward paid OTT platforms. A research model was established and examined via a two-stage partial least square (PLS) method. A total of 446 free users were collected from Facebook and Line for data analysis.FindingsResults show that perceived intrusiveness is the push factor and alternative attractiveness is the pull factor and that both have a positive impact on the switching intention of non-subscribers. Habit represents the mooring factor and negative affects switching intention. Perceived convenience and perceived enjoyment are shown to be two significant habitual antecedents. Furthermore, habit is revealed to moderate the effect of users' perceived advertisement intrusion and alternative attractiveness on switching intention to strengthen positive impact when the habit is strong.Originality/valueThis study is one of the pioneering studies to consider free-to-paid switching behavior on media services using PPM's structural equation model. Contrary to previous research, the study found that, in the context of the free-to-paid transition, highly accustomed users' perception of pull factors and push factors were strengthened, thus generating the tendency to switch platforms.
The following research attempts to investigate the determinants influencing consumers' intention to adopt mobile payment (MP). The research model was adapted based on three constructs from the unified theory of acceptance and use of technology (UTAUT), including performance expectancy, effort expectancy, and facilitating conditions in the research model. In addition, usage experience was also added to the model to test for moderating effect. An online survey conducted through Taiwanese chat rooms resulted in 348 valid responses, which were analyzed using Smart PLS. Results indicated that (1) effort expectancy, performance expectancy, and facilitating conditions were three major factors influencing intention to use mobile payment; (2) facilitating conditions played a significant role in impacting effort expectancy and performance expectancy; (3) usage experience positively moderated the relationship between facilitating conditions and performance expectancy; and (4) usage experience also positively moderated the relationship between facilitating conditions and effort expectancy.
It has long been known that the SCAMPER checklist is a useful tool for developing creative thinking. However, the meanings of some words might change based on the different interpretations of the users. Here we aimed to reorganize this model to avoid placing different thinking directions into the same category. We designed a new checklist, including Substitute, Combine, Adjust, Modify, Permute, Eliminate, Repurpose, and Size, and renamed it NEW SCAMPERS. Using a questionnaire, we tested the participants’ understanding of the checklist’s meanings and its application. We recruited 194 students from three campuses and analyzed 191 completed answers. We found that students can comprehend the new classified category, and most do well on the application inspection. Thus, the new checklist was proven to be an appropriate technique for group creative thinking.
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