This research investigates to what extent lecturers at universities of applied sciences do regard differentiated rewards—intended to develop and/or display professionalism—to be fair, and to what extent, and in which form, do these stimulate their willingness to (further) professionalise and/or display professionalism. This was a case study research design, and a factorial survey measurement technique was used to collect data. We argue that lecturers believe it is fair that forms of differentiated rewards are used and applied in order to have them develop and/or display more professionalism. Especially the viewpoints/practices that relate to coordination, consultation, and consideration for personal circumstances have an influence on the justice perceived. This paper contributes to the HRM literature confirming that lecturers appreciate financial stimuli enhancing their professionalism; however, elements such as consultation, respect, coordination, and communication are appreciated even more. It appeals to HRM to design new practices which have more stimulating effect on personal and professional growth in subject-specific knowledge.
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This research investigates to what extent lecturers at universities of applied sciences do regard differentiated rewards(intended to develop and/or display professionalism)to be fair, and to what extent, and in which form, do these stimulate their willingness to (further) professionalise and/or display professionalism. This was a case study research design, and a factorial survey measurement technique was used to collect data. We argue that lecturers believe it is fair that forms of differentiated rewards are used and applied in order to have them develop and/or display more professionalism. Especially the viewpoints/practices that relate to coordination, consultation, and consideration for personal circumstances have an influence on the justice perceived. This paper contributes to the HRM literature confirming that lecturers appreciate financial stimuli enhancing their professionalism; however, elements such as consultation, respect, coordination, and communication are appreciated even more. It appeals to HRM to design new practices which have more stimulating effect on personal and professional growth in subject-specific knowledge.
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The design of health game rewards for preadolescents Videogames are a promising strategy for child health interventions, but their impact can vary depending on the game mechanics used. This study investigated achievement-based ‘rewards’ and their design among preadolescents (8-12 years) to assess their effect and explain how they work. In a 2 (game reward achievement system: social vs. personal) x 2 (game reward context: in-game vs. out-game) between-subjects design, 178 children were randomly assigned to one of four conditions. Findings indicated that a ‘personal’ achievement system (showing one’s own high scores) led to more attention and less frustration than a ‘social’ achievement system (showing also high scores of others) which, in turn, increased children’s motivation to make healthy food choices. Furthermore, ‘out’-game rewards (tangible stickers allocated outside the game environment) were liked more than ‘in’-game rewards (virtual stickers allocated in the game environment), leading to greater satisfaction and, in turn, a higher motivation to make healthy food choices.
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Background:It is unclear why some physical activity (PA) mobile health (mHealth) interventions successfully promote PA whereas others do not. One possible explanation is the variety in PA mHealth interventions—not only do interventions differ in the selection of persuasive strategies but also the design and implementation of persuasive strategies can vary. However, limited studies have examined the different designs and technical implementations of strategies or explored if they indeed influenced the effectiveness of the intervention.Objective:This scoping review sets out to explore the different technical implementations and design characteristics of common and likely most effective persuasive strategies, namely, goal setting, monitoring, reminders, rewards, sharing, and social comparison. Furthermore, this review aims to explore whether previous mHealth studies examined the influence of the different design characteristics and technical operationalizations of common persuasive strategies on the effectiveness of the intervention to persuade the user to engage in PA.Methods:An unsystematic snowball and gray literature search was performed to identify the literature that evaluated the persuasive strategies in experimental trials (eg, randomized controlled trial, pre-post test). Studies were included if they targeted adults, if they were (partly) delivered by a mobile system, if they reported PA outcomes, if they used an experimental trial, and when they specifically compared the effect of different designs or implementations of persuasive strategies. The study methods, implementations, and designs of persuasive strategies, and the study results were systematically extracted from the literature by the reviewers.Results:A total of 29 experimental trials were identified. We found a heterogeneity in how the strategies are being implemented and designed. Moreover, the findings indicated that the implementation and design of the strategy has an influence on the effectiveness of the PA intervention. For instance, the effectiveness of rewarding was shown to vary between types of rewards; rewarding goal achievement seems to be more effective than rewarding each step taken. Furthermore, studies comparing different ways of goal setting suggested that assigning a goal to users might appear to be more effective than letting the user set their own goal, similar to using adaptively tailored goals as opposed to static generic goals. This study further demonstrates that only a few studies have examined the influence of different technical implementations on PA behavior.Conclusions:The different implementations and designs of persuasive strategies in mHealth interventions should be critically considered when developing such interventions and before drawing conclusions on the effectiveness of the strategy as a whole. Future efforts are needed to examine which implementations and designs are most effective to improve the translation of theory-based persuasive strategies into practical delivery forms.
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In the face of increasing globalisation, with the biggest cities reaping the greatest rewards, knowledge economy specialist Willem van Winden examines the future for smaller university cities.
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Background: Despite the increasing attention for the positive effects of physical activity (PA), nearly half of the Dutch citizens do not meet the national PA guidelines. A promising method for increasing PA are mobile exercise applications (apps), especially if they are embedded with theoretically supported persuasive strategies (e.g., goal setting and feedback) that align with the needs and wishes of the user. In addition, it is argued that the operationalization of the persuasive strategies could increase the effectiveness of the app, such as the actual content or visualization of feedback. Although much research has been done to examine the preferences for persuasive strategies, little is known about the needs, wishes, and preferences for the design and operationalization of persuasive strategies.Objective: The purpose of this study was to get insight in the needs, wishes, and preferences regarding the practical operationalization of persuasive strategies in a mobile application aimed at promoting PA in healthy inactive adults.Methods: Five semistructured focus groups were performed. During the focus groups, the participants were led into a discussion about the design and operationalization of six predefined theory-based persuasive strategies (e.g., self-monitoring, feedback, goal setting, reminders, rewards, and social support) directed by two moderators. The audio-recorded focus groups were transcribed verbatim and analyzed following the framework approach.Results: Eight men and 17 women between 35 and 55 years (mean age, 49.2) participated in the study. Outcomes demonstrated diverse preferences for implementation types and design characteristics of persuasive strategies in mobile applications. Basic statistics (such as distance, time and calories), positive feedback based on easy-to-achieve goals that relate to health guidelines, and motivating reminders on a relevant moment were preferred. Participants had mixed preferences regarding rewards and a social platform to invite other users to join PA.Conclusions: Findings indicated that in mHealth applications for healthy but inactive adults, persuasive strategies should be designed and implemented in a way that they relate to health guidelines. Moreover, there is a need for an app that can be adapted or can learn based on personal preferences as, for example, preferences with regard to timing of feedback and reminders differed between people.
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The global incidence of chronic diseases is rising, posing substantial social and economic challenges. These conditions necessitate effective long-term self-care, which can be supported by digital interventions using remote measurement technologies, like smartphones and wearables. This systematic review investigates the motivational strategies within digital technologies to improve self-care adherence for chronic illnesses, particularly cardiovascular diseases and diabetes mellitus. A literature search was conducted, focusing on studies from 2004 to 2024. A total of 17 studies met the inclusion criteria. The reviewed interventions targeted medication adherence, lifestyle modifications, and symptom tracking. Findings suggest that motivational strategies, such as feedback, health literacy, reminders, and motivational messages, goal-setting, social interaction, gamification, and rewards can improve patient adherence to self-care behaviors. However, their effectiveness relies on theoretical grounding, data-driven features, and personalization. Future research should prioritize integrating robust theories and developing standardized metrics for adherence to enhance the reliability and impact of digital interventions.
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In elite sports, a case is increasingly made for the structural inclusion of what we label as planned disruptions. These are structured and deliberate training activities whereby athletes are exposed to increased and/or changing demands under controlled circumstances. Despite the growing body of evidence in support of planned disruptions (Sarkar & Fletcher, 2017), there is a lack of knowledge on which strategies coaches use in an applied context and why they use them. The present study, therefore, aimed at exploring the different types of planned disruptions high-performance coaches use and the desired outcomes of these disruptions. To this end, thematic analysis (Braun, Clarke, & Weate, 2016) was used to analyze semistructured interviews with 9 talent development and elite-level coaches (M age = 42.9, SD = 8.3; 6 male, 3 female). Results indicated that coaches use a combination of 9 types of planned disruptions (i.e., location, competition simulation, punishments and rewards, physical strain, stronger competition, distractions, unfairness, restrictions, and outside the box). These strategies were used to familiarize athletes to pressure, create awareness, develop or refine personal resources, and promote team processes. Three additional themes emerged, namely, the surprise use of planned disruptions, periodization, and the impact on personal relationships. The findings in the present study can guide further applied and theoretical explorations of the use of planned disruptions.
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One of the factors that differentiate honors from regular teaching at the Faculty of Geosciences at Utrecht University, the Netherlands, is the freedom that honors students enjoy, a freedom that evokes excellence because it is focused and targeted. This targeted freedom takes three different shapes in our honors program and comes with specific challenges for both students and teachers. While the attractions and advantages of such freedom are both theoretically and practically significant, our experience has also demonstrated drawbacks that need to be addressed and resolved in creating effective honors education.The challenges and struggles as well as the rewards that we have experienced might be familiar to honors educators around the world, but they are also shaped by the particular contexts of our program within the Faculty of Geosciences, within Utrecht University, and within the Netherlands, contexts that we will now introduce.
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Introduction: Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of multiple PA apps, it remains unclear how to develop and design engaging and effective PA apps. Furthermore, little is known on ways to harness the potential of artificial intelligence for developing personalized apps. In this paper, we describe the design and development of the Playful data-driven Active Urban Living (PAUL): a personalized PA application.Methods: The two-phased development process of the PAUL apps rests on principles from the behavior change model; the Integrate, Design, Assess, and Share (IDEAS) framework; and the behavioral intervention technology (BIT) model. During the first phase, we explored whether location-specific information on performing PA in the built environment is an enhancement to a PA app. During the second phase, the other modules of the app were developed. To this end, we first build the theoretical foundation for the PAUL intervention by performing a literature study. Next, a focus group study was performed to translate the theoretical foundations and the needs and wishes in a set of user requirements. Since the participants indicated the need for reminders at a for-them-relevant moment, we developed a self-learning module for the timing of the reminders. To initialize this module, a data-mining study was performed with historical running data to determine good situations for running.Results: The results of these studies informed the design of a personalized mobile health (mHealth) application for running, walking, and performing strength exercises. The app is implemented as a set of modules based on the persuasive strategies “monitoring of behavior,” “feedback,” “goal setting,” “reminders,” “rewards,” and “providing instruction.” An architecture was set up consisting of a smartphone app for the user, a back-end server for storage and adaptivity, and a research portal to provide access to the research team.Conclusions: The interdisciplinary research encompassing psychology, human movement sciences, computer science, and artificial intelligence has led to a theoretically and empirically driven leisure time PA application. In the current phase, the feasibility of the PAUL app is being assessed.
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