目的:探讨母乳喂养初始行为及行为意向对剖宫产术后1个月纯母乳喂养的影响。方法:采用一般资料调查表、修订版母乳喂养行为预测量表(BAPT)对青岛市某三甲医院剖宫产术后1个月的产妇进行调查。结果:回病房后立即启动母乳喂养、产后第一...目的:探讨母乳喂养初始行为及行为意向对剖宫产术后1个月纯母乳喂养的影响。方法:采用一般资料调查表、修订版母乳喂养行为预测量表(BAPT)对青岛市某三甲医院剖宫产术后1个月的产妇进行调查。结果:回病房后立即启动母乳喂养、产后第一次母乳喂养成功、产后24小时顺利哺乳、住院期间使用配方奶等初始行为与纯母乳喂养呈相关性;logistic回归显示,消极态度、主观规范、知觉行为控制和剖宫产类型是喂养方式的独立影响因素。结论:未来的研究可通过建立纯母乳喂养的初始行为以及改善行为意向的各要素来提高剖宫产术后产妇纯母乳喂养率。Objective: To investigate the effect of initiation and behavioral intention on exclusive breastfeeding one month after C-section. Methods: The demographic questionnaire, initiation and Modified Breastfeeding Attrition Prediction Tool (BAPT) were used to investigate the women who underwent C-section in a third-class a hospital in Qingdao from August to December 2019. Results: The initiated breastfeeding after returning to the ward, successful first breastfeeding, breastfed within 24 hours and the use of formula during hospitalization were correlated with exclusive breastfeeding. Logistic regression showed that negative attitude, subjective norms, practice control and cesarean section type were independent influencing factors of breastfeeding. Conclusion: Future studies can improve the rate of exclusive breastfeeding after C-section by establishing the initiation of exclusive breastfeeding and the elements of the intention to improve behavior.展开更多
随着数字经济的崛起,生成式AI技术成为创新前沿,对用户行为产生深远影响。本研究基于技术接受与信息系统成功理论,构建了生成式AI技术采纳框架,探讨其对用户产消行为意向的影响。采用问卷调查法进行验证,共分析395份有效问卷。研究发现...随着数字经济的崛起,生成式AI技术成为创新前沿,对用户行为产生深远影响。本研究基于技术接受与信息系统成功理论,构建了生成式AI技术采纳框架,探讨其对用户产消行为意向的影响。采用问卷调查法进行验证,共分析395份有效问卷。研究发现,用户数字能力正向影响感知有用性和易用性,平台质量提升易用性,进而促进产消行为意向。感知有用性在易用性影响行为意向中起中介作用,而平台质量对感知有用性影响不显著。本研究为生成式AI技术提供新视角,对开发者、运营者和用户具有实践指导意义,有助于理解用户需求、优化平台设计、提升用户体验,并深化应用领域。With the rise of the digital economy, generative AI technology has emerged as a frontier of innovation, exerting profound impacts on user behavior. This study, grounded in the Technology Acceptance Model and the Information System Success Theory, constructs a framework for the adoption of generative AI technology and delves into its influence on users’ intentions for production and consumption behaviors. Employing a survey methodology, the study analyzed 395 valid responses. The findings reveal that users’ digital capabilities positively affect perceived usefulness and ease of use, while platform quality enhances ease of use, thereby fostering intentions for production and consumption behaviors. Perceived usefulness serves as a mediator in the relationship between ease of use and behavioral intentions, whereas platform quality does not significantly impact perceived usefulness. This research offers a fresh perspective on generative AI technology, providing practical insights for developers, operators, and users. It aids in understanding user needs, optimizing platform design, enhancing user experiences, and fostering deeper applications across various domains.展开更多
文摘目的:探讨母乳喂养初始行为及行为意向对剖宫产术后1个月纯母乳喂养的影响。方法:采用一般资料调查表、修订版母乳喂养行为预测量表(BAPT)对青岛市某三甲医院剖宫产术后1个月的产妇进行调查。结果:回病房后立即启动母乳喂养、产后第一次母乳喂养成功、产后24小时顺利哺乳、住院期间使用配方奶等初始行为与纯母乳喂养呈相关性;logistic回归显示,消极态度、主观规范、知觉行为控制和剖宫产类型是喂养方式的独立影响因素。结论:未来的研究可通过建立纯母乳喂养的初始行为以及改善行为意向的各要素来提高剖宫产术后产妇纯母乳喂养率。Objective: To investigate the effect of initiation and behavioral intention on exclusive breastfeeding one month after C-section. Methods: The demographic questionnaire, initiation and Modified Breastfeeding Attrition Prediction Tool (BAPT) were used to investigate the women who underwent C-section in a third-class a hospital in Qingdao from August to December 2019. Results: The initiated breastfeeding after returning to the ward, successful first breastfeeding, breastfed within 24 hours and the use of formula during hospitalization were correlated with exclusive breastfeeding. Logistic regression showed that negative attitude, subjective norms, practice control and cesarean section type were independent influencing factors of breastfeeding. Conclusion: Future studies can improve the rate of exclusive breastfeeding after C-section by establishing the initiation of exclusive breastfeeding and the elements of the intention to improve behavior.
文摘随着数字经济的崛起,生成式AI技术成为创新前沿,对用户行为产生深远影响。本研究基于技术接受与信息系统成功理论,构建了生成式AI技术采纳框架,探讨其对用户产消行为意向的影响。采用问卷调查法进行验证,共分析395份有效问卷。研究发现,用户数字能力正向影响感知有用性和易用性,平台质量提升易用性,进而促进产消行为意向。感知有用性在易用性影响行为意向中起中介作用,而平台质量对感知有用性影响不显著。本研究为生成式AI技术提供新视角,对开发者、运营者和用户具有实践指导意义,有助于理解用户需求、优化平台设计、提升用户体验,并深化应用领域。With the rise of the digital economy, generative AI technology has emerged as a frontier of innovation, exerting profound impacts on user behavior. This study, grounded in the Technology Acceptance Model and the Information System Success Theory, constructs a framework for the adoption of generative AI technology and delves into its influence on users’ intentions for production and consumption behaviors. Employing a survey methodology, the study analyzed 395 valid responses. The findings reveal that users’ digital capabilities positively affect perceived usefulness and ease of use, while platform quality enhances ease of use, thereby fostering intentions for production and consumption behaviors. Perceived usefulness serves as a mediator in the relationship between ease of use and behavioral intentions, whereas platform quality does not significantly impact perceived usefulness. This research offers a fresh perspective on generative AI technology, providing practical insights for developers, operators, and users. It aids in understanding user needs, optimizing platform design, enhancing user experiences, and fostering deeper applications across various domains.
