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109,847 result(s) for "BEHAVIOR CHANGE"
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Red helicopter : a parable for our times : lead change with kindness (plus a little math)
\"A true story of triumph by award-winning business leader, impact investor, and educator James Rhee about finding success and happiness with the simple yet powerful combination of kindness and math\"-- Provided by publisher.
Are physical activity interventions for healthy inactive adults effective in promoting behavior change and maintenance, and which behavior change techniques are effective? A systematic review and meta-analysis
Physical inactivity and sedentary behavior relate to poor health outcomes independently. Healthy inactive adults are a key target population for prevention. This systematic review and meta-analysis aimed to evaluate the effectiveness of physical activity and/or sedentary behavior interventions, measured postintervention (behavior change) and at follow-up (behavior change maintenance), to identify behavior change techniques (BCT) within, and report on fidelity. Included studies were randomized controlled trials, targeting healthy inactive adults, aiming to change physical activity and/or sedentary behavior, with a minimum postintervention follow-up of 6 months, using 16 databases from 1990. Two reviewers independently coded risk of bias, the \"Template for Intervention Description and Replication\" (TIDieR) checklist, and BCTs. Twenty-six studies were included; 16 pooled for meta-analysis. Physical activity interventions were effective at changing behavior (d= 0.32, 95% confidence intervals = 0.16-0.48, n= 2,346) and maintaining behavior change after 6 months or more (d=0.21, 95% confidence intervals = 0.12-0.30, n= 2,190). Sedentary behavior interventions (n = 2) were not effective. At postintervention, physical activity intervention effectiveness was associated with the BCTs \"Biofeedback,\" \"Demonstration of the behavior,\" \"Behavior practice/rehearsal,\" and \"Graded tasks.\" At follow-up, effectiveness was associated with using \"Action planning,\" \"Instruction on how to perform the behavior,\" \"Prompts/cues,\" \"Behavior practice/rehearsal,\" \"Graded tasks,\" and \"Self-reward.\" Fidelity was only documented in one study. Good evidence was found for behavior change maintenance effects in healthy inactive adults, and underlying BCTs. This review provides translational evidence to improve research, intervention design, and service delivery in physical activity interventions, while highlighting the lack of fidelity measurement. Keywords Inactive lifestyle, Physical activity, Behavior change, Systematic review, Behavior change techniques, Behavior change maintenance
Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review
Artificial intelligence (AI)-based chatbots can offer personalized, engaging, and on-demand health promotion interventions. The aim of this systematic review was to evaluate the feasibility, efficacy, and intervention characteristics of AI chatbots for promoting health behavior change. A comprehensive search was conducted in 7 bibliographic databases (PubMed, IEEE Xplore, ACM Digital Library, PsycINFO, Web of Science, Embase, and JMIR publications) for empirical articles published from 1980 to 2022 that evaluated the feasibility or efficacy of AI chatbots for behavior change. The screening, extraction, and analysis of the identified articles were performed by following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Of the 15 included studies, several demonstrated the high efficacy of AI chatbots in promoting healthy lifestyles (n=6, 40%), smoking cessation (n=4, 27%), treatment or medication adherence (n=2, 13%), and reduction in substance misuse (n=1, 7%). However, there were mixed results regarding feasibility, acceptability, and usability. Selected behavior change theories and expert consultation were used to develop the behavior change strategies of AI chatbots, including goal setting, monitoring, real-time reinforcement or feedback, and on-demand support. Real-time user-chatbot interaction data, such as user preferences and behavioral performance, were collected on the chatbot platform to identify ways of providing personalized services. The AI chatbots demonstrated potential for scalability by deployment through accessible devices and platforms (eg, smartphones and Facebook Messenger). The participants also reported that AI chatbots offered a nonjudgmental space for communicating sensitive information. However, the reported results need to be interpreted with caution because of the moderate to high risk of internal validity, insufficient description of AI techniques, and limitation for generalizability. AI chatbots have demonstrated the efficacy of health behavior change interventions among large and diverse populations; however, future studies need to adopt robust randomized control trials to establish definitive conclusions.
Employee engagement for organizational change : the theory and practice of stakeholder engagement
\"The success of organizational change in a world of increasing volatility is highly dependent on the advocacy of stakeholders. It is the link between strategic decision-making and effective execution, between individual motivation and product innovation, and between delighted customers and growing revenues. Only by engaging stakeholders does change have a chance to be successful. This book presents a coherent and practical view of how organizations might engender engagement with organizational change within their operational, tactical and strategic practices. It does this by providing a comprehensive review of the theoretical and empirical works on engagement and change from a variety of academic and practical perspectives. The academic research presented in this book is reinforced by research from consultancies as well as insights from practitioners that provide timely evidence. Ultimately the aim is to help raise awareness of the need to foster engagement with OC through a stakeholder perspective and how this can be done successfully within organizations across the globe.\" -- Provided by publisher.
Entrepreneurship in public organizations
Despite increasing research on entrepreneurship in the private sector, little is known about entrepreneurship in public organizations in general and the effects of leadership behavior on entrepreneurship in the public sector in particular. Utilizing new data from the Australian Public Service Commission (2017), this study analyzes how three leadership behaviors—task-oriented, relations-oriented, and change-oriented leadership—affect public sector employees’ entrepreneurship behavior. The results of this study show that while all three types of leadership behavior are positively associated with public sector entrepreneurship, the effect is larger for relations-oriented leadership, followed by change-oriented leadership. A practical implication of this study is that relations-oriented leadership behavior is crucial to entrepreneurship in public organizations, suggesting the importance of developing relationships with subordinates.
IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior
Developing effective digital interventions to change health behavior has been a challenging goal for academics and industry players alike. Guiding intervention design using the best combination of approaches available is necessary if effective technologies are to be developed. Behavioral theory, design thinking, user-centered design, rigorous evaluation, and dissemination each have widely acknowledged merits in their application to digital health interventions. This paper introduces IDEAS, a step-by-step process for integrating these approaches to guide the development and evaluation of more effective digital interventions. IDEAS is comprised of 10 phases (empathize, specify, ground, ideate, prototype, gather, build, pilot, evaluate, and share), grouped into 4 overarching stages: Integrate, Design, Assess, and Share (IDEAS). Each of these phases is described and a summary of theory-based behavioral strategies that may inform intervention design is provided. The IDEAS framework strives to provide sufficient detail without being overly prescriptive so that it may be useful and readily applied by both investigators and industry partners in the development of their own mHealth, eHealth, and other digital health behavior change interventions.
The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions
Background CONSORT guidelines call for precise reporting of behavior change interventions: we need rigorous methods of characterizing active content of interventions with precision and specificity. Objectives The objective of this study is to develop an extensive, consensually agreed hierarchically structured taxonomy of techniques [behavior change techniques (BCTs)] used in behavior change interventions. Methods In a Delphi-type exercise, 14 experts rated labels and definitions of 124 BCTs from six published classification systems. Another 18 experts grouped BCTs according to similarity of active ingredients in an open-sort task. Inter-rater agreement amongst six researchers coding 85 intervention descriptions by BCTs was assessed. Results This resulted in 93 BCTs clustered into 16 groups. Of the 26 BCTs occurring at least five times, 23 had adjusted kappas of 0.60 or above. Conclusions “BCT taxonomy v1,” an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but we anticipate further development and evaluation based on international, interdisciplinary consensus.