Valuing Recreational Services of the National Forest Parks Using a Tourist Satisfaction Method

Estimating the economic value of ecosystem services has become one of the most fertile areas in ecological economics. In this paper, we propose a novel method of using a tourist satisfaction model to evaluate the recreational services being embedded in forest ecosystems. We establish a functional relationship between tourist satisfaction and recreational attributes based on the survey data of China National Forest Parks. The results indicate that each recreational attribute considered enables the generation of a significant amount of tourism welfare for tourists, whereas tourist congestion was found to be a negative contributor to tourists’ satisfaction. Reducing congestion from the current level is the most valued recreational attribute for tourists, and the willingness to pay for it is as high as CNY 623.18 (USD 92.29) per visitor per trip. Additionally, local and nonlocal tourists display a divergent degree of preference for the recreational attributes and their levels of willingness to pay.

Have Elderly Individuals in Urban China Been Satisfied with Nursing Services during the COVID-19 Pandemic?

Based on the customer satisfaction index model, we constructed an elderly care service satisfaction model that includes 5 latent variables and 16 observed variables. To analyze the degree of satisfaction of elderly individuals in nursing homes, we used structural equation model (SEM) to test the nursing service elderly satisfaction model. With the help of AMOS 22.0 software, we analyzed the degree of model fit and the behavioral relationships between the variables that affect the path. We found that the satisfaction of Chinese urban elderly individuals in nursing homes is at a moderate level, which is lower than the quality expected by elderly individuals. The customer satisfaction index model can be applied to assess satisfaction with nursing services. Furthermore, perceived quality and value have a significant impact on satisfaction.

Applying Importance–Satisfaction Model to Evaluate Customer Satisfaction: An Empirical Study of Foodpanda

Because of improving mobile platforms and faster 4G speed, the annual growth of mobile devices has exceeded 50%, and many catering enterprises have integrated services to make ordering and delivery more convenient for smartphone users. Thus, user satisfaction with new online food-delivery platforms and services needs to be explored and evaluated. Using an Importance–Satisfaction Model (I–S Model), this study applied 12 service elements obtained from previous studies and an in-depth discussion of experts and scholars to evaluate user satisfaction towards Foodpanda, the first online food delivery service provider in Taiwan. Questionnaires were distributed from June to July 2020 and 256 samples were collected. This study found that eight items fell within the “Excellent Area”, one within the “Improvement Area” and three within the “Careless Area”.

PENGEMBANGAN MODUL PELATIHAN PENGENALAN DASAR BAHASA PEMROGRAMAN JAVA DENGAN MODEL ARCS

1048 / 5000 Translation results The introduction of programming languages ​​to students is very rare. As a solution for the introduction of programming languages ​​for students is to hold training and workshops for students. The training module was developed by applying the ARCS (Attention, Relevance, Confidence and Satisfaction) model with the aim of increasing students' motivation to learn programming languages ​​further. The resulting module was applied to the training carried out for students of SMA Negeri 10 Jambi City. There were 30 participants, consisting of grade 10 and grade 11 students. Participants were mentored by 4 instructors who were also observers. The ARCS model can be used as a reference in developing Java programming training modules with the aim of motivating and enthusiastic students. The module has been used in basic java programming training at SMA 10 Jambi City, with observations (scale 100), for an average student attention of 91.25, participation 94, persistence 93.25, task completion 83.25, and activeness 93.5.