| The development of science and technology and the needs of the people promote the emergence of fitness apps,which bring more scientific and convenient exercise methods and sports knowledge to the public,so it has also attracted extensive attention.Especially in the new state of blockade after the outbreak of the pandemic and the current outbreaks of normalized background,People’s Daily life style and form of exercise has certainly changed,people’s health consciousness has enhanced,online sports fitness information plays an important role,as an important assistant for people to exercise everyday,having impact on the future development of sports industry model.At present,fitness apps have accumulated a large user base and obtained a certain amount of traffic.Now it is more important to consider how to stabilize users,increase user stickiness,and achieve profitability and sustainable development.This study selected literature review method,questionnaire survey method,mathematical statistics method,the structural equation model method and so on,based on Expectation-Confirmation Model of IS Continuance(ECM-ISC),flow experience,perceived value theory,perceived risk theory,to set up six variables including expectation confirmation,perceived risk,perceived value,immersion experience,user satisfaction and user engagement were determined;to build a fitness APP user engagement factor model,and put forward research hypotheses;In addition,679 valid questionnaires were collected by means of questionnaires.Reliability and validity analysis,hypothesis verification,model testing and modification were carried out by using SPSS26.0 and AMOS24.0 software.Finally,according to the data results,the relationship between latent variables and observed variables in the influencing factor model of fitness APP user engagement is analyzed and discussed,and the corresponding conclusions and suggestions are put forward,while the deficiencies of research are pointed out.Its purpose is to provide certain data support and theoretical guidance for the operation and upgrading of fitness apps,improve the core competitiveness of products,make them exist scientifically and reasonably,become an important means of public fitness,provide scientific guidance for the realization of lifelong sports for the masses,and promote the diversified development of intelligent sports.The study reached the following conclusions:(1)The influencing factor model of user engagement of fitness apps is composed of six factors:expectation confirmation,perceived risk,perceived value,immersive experience,user satisfaction and user engagement.Expectation confirmation and perceived risk are independent variables,perceived value,immersive experience and user satisfaction are intermediary variables,and user engagement is dependent variable.(2)Expectation confirmation has a direct positive impact on perceived value and user satisfaction;Perceived risk directly and reversely affects perceived value and user satisfaction;Perceived value has a direct positive impact on immersion experience,user satisfaction and user engagement.Immersive experience has a direct positive impact on user satisfaction and user engagement.The direct effect on user engagement is user satisfaction,followed by immersion experience,and then perceived value.(3)The total effects of expectation confirmation,perceived risk,perceived value,immersion experience and user satisfaction on user engagement were 0.253,-0.185,0.644,0.418 and 0.346,respectively.It can be seen that perceived value has the largest total effect on user engagement.(4)In the dimension of expectation confirmation,the factor loading values of performance confirmation and effort confirmation are 0.83 and 0.77 respectively.In comparison,the load value of performance confirmation is larger.Users believe that fitness apps can effectively achieve their fitness goals,so as to improve themselves is more important than whether the product is easy to use.(5)In the dimension of perceived risk,the factor loads of functional risk,privacy risk and security risk are 0.75,0.82 and 0.83,respectively.Compared with safety risks,the load value is larger,indicating that users attach more importance to the poor effect of the product and the physical damage caused by it.If fitness apps fail to help achieve the desired fitness purpose,but lead to physical damage,users may have a poor experience and it is not easy to retain users.(6)In the dimension of perceived value,the factor loads of cognitive value,functional value and affective value are 0.89,0.68 and 0.76,respectively.Compared with cognitive value,the load value is larger,indicating that users think that providing fitness methods and fitness knowledge as well as further understanding and mastering it is a relatively more important part of the value of fitness apps.(7)In the dimension of immersion experience,the factor loads of perceptual control,concentration and pleasure are 0.81,0.76 and 0.80,respectively.Perceptual control has a relatively high load value,and Immersive experiences are more likely to occur when skills and abilities are highly matched..(8)In the dimension of user satisfaction,the load values of function satisfaction and effect satisfaction are 0.83 and 0.84 respectively,which are relatively similar.It indicates that the functions provided by fitness apps can meet the needs of users and realize their purposes,which will make users have a more satisfied attitude.Based on the above conclusions,the following suggestions are put forward:(1)Meet users’ expectations and shape positive psychological feedback(2)Control product risks and create a safe use environment(3)Highlight perceived value and enhance users’ sense of acquisition(4)Repeated immersion experience to cultivate user loyalty(5)Improve user satisfaction and pursue high intensity user engagement... |
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