A Study on Behavioral Intention of Zhengzhou Douyin Content Producers

Purpose: Nowadays, the short video industry is on the rise and many applications have come out of nowhere to fill a lot of fragmented time. TikTok, Racer, WeChat video number, short ten seconds or so, up to a few minutes of long videos are available. As a mainstream Internet application, the short video industry market competition pattern is relatively stable. At present, China's short video industry competition faction mainly today's headlines, Tencent, Racer, Baidu, Sina, Ali, Meitu, B station, 360 and NetEase, of which, of the current hottest video platform - Jieyin belongs to today's headlines; Racer short video belongs to the Racer system. More and more people choose to fill the fragment time with short videos. This study analyzes the behavioral intention factors of content producers who use ShakeYin to post short       videos, Especially in central China, factors including perceived usefulness, perceived simplicity of use, trust, attitude, and social impact. Research design, data and methodology: Examining the behavioral intent of TikTok content makers is the goal of this study， after which the questionnaire was created in the form of a poster and distributed to 439 content producers who have used TikTok to post videos since the past six months, selected using convenience sampling and snowball sampling, and this study includes a series of data references such as descriptive analysis, Multiple linear regression analysis and correlation analysis. Results: The  results  of this  research  will  make  it easier  to optimize and enhance Content Producer' s services for content creators and to successfully use social influence, trust, and attitudes to encourage individuals to use Content Producer and create conten

Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

Background: The public health impact of health and well-being digital interventions is dependent upon sufficient real-world uptake and engagement. Uptake is currently largely dependent on popularity indicators (eg, ranking and user ratings on app stores), which may not correspond with effectiveness, and rapid disengagement is common. Therefore, there is an urgent need to identify factors that influence uptake and engagement with health and well-being apps to inform new approaches that promote the effective use of such tools. Objective: This review aimed to understand what is known about influences on the uptake of and engagement with health and well-being smartphone apps among adults. Methods: We conducted a systematic review of quantitative, qualitative, and mixed methods studies. Studies conducted on adults were included if they focused on health and well-being smartphone apps reporting on uptake and engagement behavior. Studies identified through a systematic search in Medical Literature Analysis and Retrieval System Online, or MEDLARS Online (MEDLINE), EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsychINFO, Scopus, Cochrane library databases, DataBase systems and Logic Programming (DBLP), and Association for Computing Machinery (ACM) Digital library were screened, with a proportion screened independently by 2 authors. Data synthesis and interpretation were undertaken using a deductive iterative process. External validity checking was undertaken by an independent researcher. A narrative synthesis of the findings was structured around the components of the capability, opportunity, motivation, behavior change model and the theoretical domains framework (TDF). Results: Of the 7640 identified studies, 41 were included in the review. Factors related to uptake (U), engagement (E), or both (B) were identified. Under capability, the main factors identified were app literacy skills (B), app awareness (U), available user guidance (B), health information (E), statistical information on progress (E), well-designed reminders (E), features to reduce cognitive load (E), and self-monitoring features (E). Availability at low cost (U), positive tone, and personalization (E) were identified as physical opportunity factors, whereas recommendations for health and well-being apps (U), embedded health professional support (E), and social networking (E) possibilities were social opportunity factors. Finally, the motivation factors included positive feedback (E), available rewards (E), goal setting (E), and the perceived utility of the app (E). Conclusions: Across a wide range of populations and behaviors, 26 factors relating to capability, opportunity, and motivation appear to influence the uptake of and engagement with health and well-being smartphone apps. Our recommendations may help app developers, health app portal developers, and policy makers in the optimization of health and well-being apps

Behavioral Intention and Level of Usage on Convergence Media training Platform on Journalism University Students of Private Universities in Sichuan, China

This study aims to investigate the factors that affect students' behavioral intention and utilization of behavior in the convergence media training platform and to recommend cultivating converged media talents. Taking into account the development of the convergence media training platform, the Theory of Planned Behavior, the Technology Acceptance Model, and the Unified Theory of Plan and Technology Acceptance and Use were set out. The relationship between seven variables including Perceived Usefulness, Perceived Ease of Use, Attitude, Performance Expectation, Behavioral Intention, Social Impact, and Use Behavior was hypothesized. Four hundred and eighty (480) students from three colleges in Sichuan, China were the research samples. The Structural Equation Model (SEM) was utilized to examine the relationship between the variables. Moreover, the consequence revealed that most variables except the relationship between Perceived Ease of Use and Perceived Usefulness as well as Perceived Ease of Use and Attitude did not find a relationship among them. It is possible that students did not find the media convergence platform to be beneficial or simple to operate. In turn, It had no positive influence on attitudes. Hence, it is recommended that teachers and relevant departments strengthen communication and contact with the industry, provide students with more professional teaching content and practical skills training, cultivate a positive social environment, and enhance students' learning attitude and learning efficiency

Assessment of Behavioral Intention to Use Tencent Meeting of First-Year Students for Legal Courses in Chengdu, China

Purpose: This research aims to assess the behavioral intention to use Tencent meetings of students for legal courses in Chengdu, China. The conceptual framework is developed from previous studies, incorporating perceived usefulness, attitude, social influence, perceived behavioral control, subjective norm, behavioral intention, and use behavior. Research design, data, and methodology: The target population is 500 first-year students at three selected universities who have experience using the Tencent platform for legal programs. The sample methods are judgmental, stratified random, and convenience sampling. Before the data collection, the Item Objective Congruence (IOC) Index and the pilot test (n=30) by Cronbach’s Alpha were assessed to ensure content validity and reliability. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were used as statistical tools to confirm validity, reliability, and hypotheses testing. Results: The results show that all hypotheses are supported. Attitude, social influence, perceived behavioral control, and subjective norm significantly impacts behavioral intention and use behavior indirectly. Furthermore, perceived usefulness has a significant impact on attitude. Conclusions: The above key variables should be emphasized and strengthened to improve college students’ use behavior of Tencent meetings in the learning process. Universities ought to pay attention to enhancing a system to maximize students’ learning efficiency

Students’ behavioral intention on interactive video in primary Cinematography of Art Universities in Chengdu, China

The emergence of the COVID-19 has made some traditional classroom teaching impossible. Therefore, online teaching has become a compelling choice for higher education in China. However, the shortcomings of the weak sense of communication in online teaching leads to poor teaching quality. Especially in the cinematography major, as a highly practical major, online teaching methods cannot achieve the purpose of teaching. The emergence of interactive video technology has brought a turning point for this kind of practical professional network teaching. The study was to explore the effect of using interactive video in major cinematography classrooms and the acceptance of students. The theoretical basis of this research is the Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Unified Theory of Acceptance and Use of Technology (UTAUT). The variables are perceived usefulness, perceived ease of use, attitude, social influence, self-efficacy, and behavioral intention. The 480 questionnaires were distributed to students from three universities.  The data analysis was based on 451 valid questionnaires returned. The Structural Equation Model (SEM) SEM was used to validate the research hypothesis to determine the relationship between variables. The findings indicate that all six hypotheses proposed in this study are supported. The results showed that students' perceived ease of use when using interactive videos for learning directly affect their perceptions on the usefulness of interactive videos. Perceived ease of use and perceived usefulness directly impact attitude; that is, when students perceived that the interactive video is easy to operate or helpful, it positively affect their attitude towards interactive video. In addition, attitude, self-efficacy, and social influence are the three influencing factors in predicting students' behavioral intentions. The research results would promote the widespread use of interactive video in higher education by investigating cinematography students' behavioral intentions to use interactive video in professional

Usage of Mobile Applications Amongst Older Adults: Retrospect and Prospect

Addressing age-specific issues related to IT usage is becoming increasingly significant. To consolidate the existing knowledge on the usage of mobile apps amongst older adults, this study synthesizes the research nature, patterns, and theoretical foundations in existing studies through a systematic literature review. Based on our investigation into the 22 identified articles, we find that previous studies on this topic focus mainly on app usage behaviors, app development and evaluation, and app usage learning and training. Prior studies are still fragmented and a more comprehensive and integrated framework is required to guide future research. Finally, we discuss the key antecedents of older adults’ app usage identified in reviewed articles and highlight seven heuristic topics with corresponding research questions for future research. Limitations of this review are also discussed

Factors Influencing Behavioral Intention Towards MOOC Platform of Jingdezhen Vocational University of Art Students Majoring in Art and Design in Jiangxi Province, China

The objective of this investigation was to analyze the behavioral intention of students at the Jingdezhen Vocational University of Art who majoring in art and design majors to use the MOOC platform. It was carried out by the researchers using quantitative research techniques. Based on the Theory of Reason and Action (TRA), the Technology Acceptance Model (TAM), and the Unified Theory of Technology Acceptance and Use (UTAUT), this study develops a conceptual framework. Seven potential variables were chosen to assess the validity of the research tool using project-goal consistency and passed the internal consistency test: self-efficacy, perceived ease of use, perceived usefulness, attitude, performance expectancy, subjective norm, and behavioral intention. The reliability was evaluated by Cronbach α coefficient through the pilot test. In addition, the sampling strategy was multi-stage sampling. In the course of the study, a face-to-face questionnaire was distributed to 500 professional undergraduates majoring in art and design with MOOC platform experience at the School of Ceramic Art and Design and the School of Digital Art of Jingdezhen Art Vocational University. As statistical analysis tools, confirmatory factor analysis and structural equation modeling were applied in this research to advance the influence on data, matrix accuracy, basic variables, hypothetical support, and path coefficients. The results revealed that all the hypotheses are suggested, and the subjective norm was the most influential factor that affected art and design majors' behavioral intention to use the MOOC platform

Drivers of Adoption of Contact Tracing Mobile Applications

Contact Tracing Mobile Apps emerged as a new IT-enabled tool with the potential to slow down infection COVID-19 transfers and thus save lives. However, despite their inherent capability to make a substantial technical contribution to fighting the pandemic, the adoption of CTMAs lags behind expectations. Against this background, our work seeks to produce a systematic and nuanced understanding of hitherto unconsidered yet significant determinants of CTMA adoption. On a more general note, we seek to derive valuable insights that can support decision-makers to accelerate CTMAs\u27 adoption. Based on a large-scale study with 1,027 participants, we present new contextualized determinants that explain individuals’ decision to adopt CTMAs. We also find that early in the process of adopting CTMAs, decision-makers have several levers at their disposal to influence the adoption of CTMAs. In contrast, decision makers\u27 ability to influence individuals\u27 adoption of CTMAs is more limited at later stages of the process

The Determinants of Mobile Marketing Services Acceptance among Gen-Y Consumers

This research aims to examine the acceptance of mobile marketing services by computing the consumers’ intention towards actual use for mobile marketing services. This research’s conceptual framework is developed based on the Theory of Planned Behaviour by examining the attitude, subjective norms, perceived behavioural control, intention, and actual use. This research also strives to identify the effects of risk perception on purpose, which still an inadequacy of explanation in mobile marketing usage among Gen Y. A total of 650 questionnaires was distributed to the full-time university students of four Universities in the East Coast Region in Malaysia. The main statistical technique used in this research was SmartPLS and SPSS software. This research indicated that attitude, subjective norms, perceived behavioural control, and perceived risk tend to influence intention to use. The behavioural intention was also found to influence the actual use of mobile marketing services among generation Y. Based on the findings, the theoretical and practical implications of the study, limitation, and future studies suggestions were discussed in this research

An investigation on Senior Students’ Behavioral Intention to Use Tencent Meeting for Legal Course in Chengdu, China

Purpose: This research aims to investigate senior students’ behavioral intention to use Tencent meeting for the legal course in Chengdu, China. The key variables are developed from previous literature, including perceived usefulness, attitude, social influence, perceived behavioral control, subjective norm, behavioral intention, and use behavior. Research design, data, and methodology: The target population is 500 fourth-year students at three selected universities who have experience using the Tencent platform for the law course. Probability and nonprobability are used, including judgmental, stratified random, and convenience sampling. Before the data collection, the Item Objective Congruence (IOC) Index and the pilot test (n=30) by Cronbach’s Alpha were assessed to ensure content validity and reliability. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were used as statistical tools to confirm validity, reliability, and hypotheses testing. Results: The results show that all hypotheses are supported. Perceived usefulness significantly impacts attitude. Attitude, social influence, perceived behavioral control, and subjective norm significantly impacts behavioral intention. Furthermore, behavioral intention significantly impacts use behavior. Conclusions: Tencent meeting developers, college administrators, or practitioners should focus on improving students’ Tencent meeting use behavior. The developer of Tencent Meeting and the college’s top management should concentrate on making students’ perceptions of the app’s usefulness, social influence, and attitude