Mobile Food Ordering Apps (MFOAs) programs have changed the way consumers order and consume food. Mobile Food Ordering Apps (MFOAs) are widely recognized in the restaurant industry as an innovative method of serving customers; however, there are important questions about the impact of implementing MFOAs on customers’ willingness to reuse such applications, and several studies have examined the results of using MFOAs from a customer perspective. The main objective of this study was to identify and empirically test the main factors that predict Chinese users’ attitudes toward MFOAs, the satisfaction and re-use of such applications, and the moderating role of habits. This study proposes an integrated model based on the Technology Acceptance Model (TAM) and the Expectation Confirmation Theory (ECT), combined with the features of MFOA-added variables such as online reviews, price value and trust. A total of 212 valid questionnaires were obtained and collected from a sample of Chinese customers using MFOAs. This study uses SPSS 26.0 and smartPLS version 3.0 for a path analysis and empirical testing of the research model. There are 13 hypotheses, 6 of which are valid. H2(PE → SAT), H3(OR → SAT), H5(EOU → ATT), H6(PV → ATT), H7(TR → ATT), and H9(SAT → CI) are valid. However, H1(CON →SAT), H4(USF → ATT), H8(TR → CI), H10(ATT → CI) are not valid, and HAB does not play a moderating role between CI and SAT, CI and ATT, and CI and TR. Based on the research results, theoretical contributions and practical implications can be provided for scholars and practitioners in MFOA-related fields.

As crucial international trade and global logistics players, container terminals worldwide handle more than 80% of the global merchandise trade. After analyzing and summarizing the previous studies, we use container terminal companies as the research object to fill the gap left by previous studies. Based on the above research status, this study analyzes the operational efficiency and total factor productivity of 32 container terminal companies in China using the super -efficiency DEA–SBM model and the Malmquist index method. The results show that (1) the operational efficiency level of 32 container terminals in China from 2017 to 2020 has a huge gap, and 15 container terminal companies have operational efficiency below 0.6, which indicates that most container terminals have excess inputs and a waste of resources. (2) The container terminals in the Bohai Rim, Pearl River Delta and Yangtze River Delta regions have higher operational efficiency. This shows that the development of container terminals cannot be separated from the economic hinterland of the cities where the ports are located. (3) The Malmquist index analysis shows a 2.8% decrease in total factor productivity, a 3.2% increase in the composite technical efficiency index and a 5.8% decrease in the technological progress index, which indicates that most container terminal companies have imperfect management practices and decision making. Based on the study’s results, this research provides relevant and feasible recommendations for policymakers who formulate policies for the development of the shipping industry to promote high quality and sustainable development of the shipping industry and the economy.