Interest in mobile short-video platforms (MSVP) as a new social network service tool has surged in recent years. However, only a few studies have focused on MSVP users’ post-acceptance behavior. To clarify this issue of sustainable usage, this study analyzed users’ post-acceptance habit formation by incorporating perceived interactivity and perceived enjoyment into the expectation-confirmation theory of the information system continuance (ECT-IS) model using structural equation modelling. We developed and distributed an online questionnaire and collected 219 valid responses from Chinese MSVP users. Our results show that satisfaction is the foremost factor in determining users’ habit formation as it completely mediates the influence of confirmation and perceived interactivity. We also show that perceived enjoyment positively influences habit formation directly and indirectly. Nonetheless, we note that sustainable usage should form the basis of continuous satisfaction from user experience due to a few missing links with regard to modulation in habitual usage. Therefore, we suggest that MSVPs should enhance their content recommendation algorithms using technologies such as deep-learning forecasting to improve users’ satisfaction by increasing perceived enjoyment. We also show that the influence of perceived interactivity on habit formation is effective only when fully mediated by satisfaction. Thus, we recommend that MSVPs should diversify their interaction mechanisms, for instance, by introducing mass creators that promote users’ habit formation by enhancing their satisfaction on the platform.
This study analyzes the sustainable feasibility of major airports in China in terms of airport operational efficiency (AOE). As AOE should be measured by economic performance as well as qualitative service management such as delay rate abatement, our study uses a multi-input/output slack-based data envelopment analysis model. We find that the 37 major airports in China have very low AOE levels, with an average of 48.2% during the study period of 2016–2019, implying great potential to enhance their efficiency. Even though the AOE trend is increasing upwards, it is still very much behind in terms of global standards. Moreover, this upward trend may come from external factors in the commercially driven eastern region airports and politically supported western region airports, and the AOE gap with airports in the central region is becoming larger. This implies that most airports in China are not yet self-sustaining. There are two ways for these airports to enhance AOE: more investment in infrastructure, such as airport facilities, and management upgrades from peer-learning efforts. We examined the feasibility of these two optimal paths and found that there is no need for decreasing returns to scale, implying that most of the airports can improve their AOE through additional investment, except for the eight airports with constant returns to scale, such as Beijing and Guangzhou. Moreover, each of the individual airports should learn from the top benchmarking airports on the production frontier. This study emphasizes the role of qualitative service performance and concludes that customized, self-sustaining innovation is required for all of the 37 major airports in China.