Research On The Influencing Factors Of Smart Elderly Care System Adoption From The Perspective Of Medical Staff

With the continuous development of modern digital technology and the emergence of artificial intelligence,people’s lives,learning,and work are undergoing tremendous changes.Smart elderly care systems are also widely used in medical and elderly care institutions.The rise of smart elderly care systems has changed traditional forms of elderly care and care,but the actual application of this system is still very limited.As the main users of smart elderly care systems,the adoption behavior of medical staff plays an important role in the application and promotion of the system.This study mainly studied and analyzed related influencing factors of the adoption of smart elderly care system by medical staff,and understanded the influencing mechanism of the adoption behavior of smart elderly care system by medical staff,so as to better promote the implementation of smart elderly care system in institutions combining medical and elderly care.First of all,based on the review of the existing literature,this paper constructed a research model on the influencing factors of intelligent elderly care system adoption based on the technology acceptance model and task technology matching model.A questionnaire survey was used to collect 158 valid data,and structural equation model was used to test the measurement model and structural model.Then,through in-depth interviewed with 20 medical staff,and through three rounds of open coding,spindle coding and selective coding,the influencing factors that hinder the adoption of intelligent nursing care system by medical staff were extracted,and the influencing factors of the adoption of intelligent nursing care system obtained by social survey method were corroborated and supplemented.And constructed the influence factor model and explained the influence factor model of adoption behavior from the individual level,the system level and the information level.Finally,corresponding countermeasures and suggestions were put forward for the operation and maintenance of the intelligent old-age care system,hospital administrators and medical staff.The main conclusions of this paper include:(1)Social survey and analysis found that the task technology matching degree of smart elderly care system has a significant positive impact on perceived usefulness and perceived ease of use;The perceived usefulness and perceived ease of use of the smart elderly care system had a significant positive impact on the attitude of medical staff.The attitude of medical staff has a significant positive effect on the willingness to adopt the intelligent elderly care system.(2)Rooted theory research corroborates the findings of social survey and analysis.User interview data show that the matching degree of task technology,perceived usefulness,perceived ease of use and attitude are the reasons influencing user adoption.In addition,information quality,system quality,perceived cost,attitude,self-efficacy,habit and conformity also determine whether medical staff adopt the smart elderly care system.These 10 influencing factors are further summarized into three dimensions,namely,individual level influencing factors,system level influencing factors and information level influencing factors.At the individual level,the influencing factors include conformity,attitude,perceived cost and self-efficacy.The influencing factors at the information level include information quality;The influencing factors at the system level include perceived ease of use,perceived usefulness,system quality and task technology matching degree.This study theoretically enriched the theoretical model of the adoption intention of medical staff in the intelligent elderly care system,and expanded the new knowledge of the research field of the adoption of intelligent medical care system by medical staff.At the practical level,the analysis and exploration of the main influencing factors that affect the adoption of the smart elderly care system by medical staff can provide countermeasures and suggestions for the technical upgrade and optimization of the smart elderly care system,as well as the adoption and application of users.