Identification of Key Influencing Factors of User Experience of Mobile Reading APP in China Based on the Fuzzy-DEMATEL Model

Zhang, Yi; Rong, Xing; Shu, Mengfei; Chen, Qiang

doi:10.1155/2021/2847646

Cited by 5 publications

(10 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the dimension level, the cause factors are “Information Quality” ( C 2 ) and “System Quality” ( C 1 ), showing that these factors are more inclined to affect other factors. This indicates that system and information quality are the basic components of an APP and should be primarily considered during APP building, which aligns with Zhang [ 45 ]. Notably, “Information Quality” ( C 2 ) was found to have an overall effect on improving the effectiveness of home nursing mobile APP.…”

Section: Discussionsupporting

confidence: 65%

“…In the “System Quality” ( C 1 ) criteria, “Stability” ( C 15 ) was the main influence criterion. Stability refers to fewer accidents in the process of use to ensure the normal operation of the software [ 45 ]. Therefore, it should be the first factor to consider in APP construction.…”

Section: Discussionmentioning

confidence: 99%

“…All results advocate for information security in Internet-based service systems, emphasizing the online payment process [ 50 – 52 ]. Therefore, APPs should provide a refund guarantee, protect passwords and data during payment, and provide a variety of reliable payment channels to ensure the security of the user payment environment [ 45 ].…”

Section: Discussionmentioning

confidence: 99%

“…Further analysis at the criteria level reveals the following: “Stability” ( C 15 ) was the key factor in“System Quality” ( C 1 ). This indicates the importance of creating a reliable and stable user environment, including fewer flashbacks, a low error rate, identifying problems, and repairing vulnerabilities [ 45 ]. “Availability” ( C 23 ) was the key factor in “Information Quality” ( C 2 ).…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Improve the satisfaction of medical staff on the use of home nursing mobile APP by using a hybrid multi-standard decision model

Ke,

Qian,

Wang

et al. 2024

BMC Nurs

View full text Add to dashboard Cite

Objective To identify critical satisfaction gaps in a home nursing mobile application (APP) using a systematic decision-making model. Methods Initially, the decision-making trial and evaluation laboratory method was used to analyze the relationship structure and corresponding weights among the indicators. The Importance-Performance Analysis (IPA) method was used to identify the categories of all indicators and their corresponding strategic directions. Twenty-six home nursing specialists currently providing home nursing services were recruited for this study. Results The IPA results revealed that “Assurance,” “Reliability,” and “Personal security protection” are critical satisfaction gaps. From the influence network and weight results, “information quality” and “system quality” were the critical quality factors in the home nursing mobile APP. The influence of the network relationship structure and weight demonstrated a 98.12% significance level, indicating good stability. Conclusion Continuous improvement in information and system quality is recommended to optimize the overall quality of the home nursing mobile APP. Additionally, user demands should be considered, and personal safety guarantee functions should be developed and integrated into the system to ensure the safety of home nursing workers.

show abstract

Section: Discussionsupporting

confidence: 65%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Improve the satisfaction of medical staff on the use of home nursing mobile APP by using a hybrid multi-standard decision model

Ke,

Qian,

Wang

et al. 2024

BMC Nurs

View full text Add to dashboard Cite

show abstract

“…With the rapid development of information and communication technology (ICT), the widespread use of mobile devices has changed reading as a practice, which can now take place anytime and anywhere. Mobile reading, which has been inevitably taking over the mainstream existing reading methods [1] is viewed as a promising pathway to reading with sustainable education goals [2]. The use of mobile devices for reading refers to the use of mobile terminals (e.g., tablet computers, e-book readers, smartphones, etc.)…”

Section: Introductionmentioning

confidence: 99%

Understanding College Students’ Engagement in Mobile Reading for Sustainability in Education: A Case Study from China

Liu

Feng

et al. 2023

Sustainability

View full text Add to dashboard Cite

Mobile reading is viewed as a promising pathway to reading with sustainable education goals. At present, there have been many studies on the mobile reading of young readers and their reading comprehension by testing their task-based comprehension, but not much attention has been paid to the mobile reading of college students in China and the factors of reading engagement from readers’ perspectives. With the aim to investigate the factors that affect college students’ engagement in mobile reading, this study used interviews with open-ended questions and followed a qualitative content analysis design with an inductive and exploratory approach. The participants of this study were thirty college students with diverse majors out of three universities in Shanghai, China. They were selected from a pre-questionnaire, and these students (N = 30) were chosen from those who read on mobile devices for less than 2 h on average per day (N = 276). The results revealed that the college students perceived a variety of factors affecting their engagement in mobile reading, including the following: four motivational needs (information needs, academic needs, social needs, emotional needs), reading experience, reading efficacy, and reading strategies. It has been assumed that the most common factor that leads to the engagement of college students in mobile reading is the intention to be entertained. The investigation of this study has different results. Even the students who spent the minimum average time mobile reading used it with diverse needs in mind. Nevertheless, students’ reading experience, reading self-efficacy, and reading strategies indicated that sometimes they had difficulties engaging in mobile reading. These difficulties resulted from an imbalance between their needs and their engagement: whether they obtained what they needed. Considering that mobile reading could be an effective way to assist college students’ independent learning and sustainable development in future, it is necessary to understand the factors of mobile reading and rethink how to avoid difficulties to improve the mobile reading engagement of college students.

show abstract

Key Influencing Factors Identification in Complex Systems Based on Heuristic Causal Inference

Wu,

Lu,

et al. 2023

Preprint

View full text Add to dashboard Cite

In complex systems constrained by multiple factors, it is of great significance to accurately identify the key influencing factors for mastering the evolution and development law of the system and obtaining scientific decision-making suggestions or schemes. At present, the method based on experimental simulation is limited by the difficulty of system model construction; the method based on decision trial and Evaluation laboratory (DEMATEL) involves a wide range of subjects and is greatly influenced by subjective factors. In view of this, we propose a novel model based on heuristic causal inference. The model uses the FCI algorithm with prior knowledge to learn the global causal network among multiple factors of the complex system. The causal effect among variables in the causal network is calculated by using heuristic causal inference method. Specifically, the causal path contribution degree of cause variable to target variable is calculated to replace the causal effect of each cause variable to target variable. The key influencing factors in the system are screened out according to the contribution degree of causal pathways. Based on the dataset generated in the production process of a semiconductor manufacturing system, we carried out simulation experiments, identified several factors that have a key impact on product quality, and proved the feasibility and effectiveness of the proposed model.

show abstract

Identification of Key Influencing Factors of User Experience of Mobile Reading APP in China Based on the Fuzzy-DEMATEL Model

Cited by 5 publications

References 9 publications

Improve the satisfaction of medical staff on the use of home nursing mobile APP by using a hybrid multi-standard decision model

Improve the satisfaction of medical staff on the use of home nursing mobile APP by using a hybrid multi-standard decision model

Understanding College Students’ Engagement in Mobile Reading for Sustainability in Education: A Case Study from China

Key Influencing Factors Identification in Complex Systems Based on Heuristic Causal Inference

Contact Info

Product

Resources

About