Evaluation Review最新文献

This study examined the impact of ITV intervention on reduction in the propensity to abuse substances and engage in drug trafficking. The researcher conducted this study using an experiment of 517 vulnerable adolescents aged 10-19 years. The participants were randomly assigned to control (n = 258) and treatment (n = 259) groups. The researchers found a significant main effect of treatment conditions on reduction in the propensity to engage in substance abuse and drug trafficking among vulnerable adolescents. That is, before the intervention, there was no significant statistical difference between the control and treatment groups on the propensity to engage in substance abuse and drug trafficking. However, vulnerable children who received the intervention reported a significant reduction in propensity after the intervention. The results highlight the usefulness of ITV as a behaviour change strategy for vulnerable children.

As ecological globalization intensifies, rural waste recycling and management has become a global concern. China's proactive efforts are significant for revitalizing domestic rural ecosystems, offering valuable insights into global environmental governance. The rampant dumping and informal processing of hazardous waste in rural China pose severe threats to local ecological balance and public safety. Thus, efficiently recycling hazardous rural and agricultural waste is pivotal for China's rural ecological and environmental governance. This study adopts a participatory governance perspective and establishes a theoretical framework for dual principal-agent relationships. This framework examined 22 cases of rural governance spanning Eastern, Central, and Western China. This study evaluated governance mechanisms in four dimensions: policy, material, human, and social capital, using the fuzzy-set qualitative comparative analysis method. The key findings include: (1) The adverse orientation and behavior of hazardous waste recycling governance in rural areas stem from the combined impacts of multiple complex factors. (2) The synergistic interplay between policy, human, and social capital is crucial for advancing hazardous waste recycling governance in rural settings. (3) Three pathway mechanisms--socially driven, market-oriented, and system participation--facilitate the effective governance of hazardous waste recycling. Innovative practices in hazardous waste recycling and management within rural China yielded positive domestic impacts and profoundly influenced global environmental governance. China's experiences and approaches motivate other nations and regions, showcasing responsibility and dedication to international environmental governance and bolstering Chinese contributions to creating a cleaner, beautiful world.

This study tested a 'wise' intervention (quick prompt of a specific psychological mec) in acute care hospital units to improve nurses' hand hygiene compliance (HHC). A multiple baseline design in two medical-surgical teaching hospitals in the United States. Hand hygiene data was collected using an electronic compliance monitoring system with sensors placed in doorways and on corresponding soap and alcohol-based hand rub dispensers. The outcome measure was the proportion of opportunities in which HH was undertaken by staff per week in each unit. A quick-and-easy psychological prime to reinvigorate professional identity. Interrupted time series analysis using a quasi-Poisson regression model with statistical process control charts for each unit. A statistically significant increase in HHC rates that was sustained for months post-intervention. However, the patterns by unit were not statistically significant once temporal trends were considered. Other factors, such as the unit type and the use of incentives could have impacted the results. These analyses suggest that the aggregate impact should not be taken as evidence of intervention effectiveness. This study therefore cannot be considered to have provided a strong foundation for use of a 'wise' intervention, despite its relatively small financial, logistical and psychological cost.

In the modern educational landscape, the integration of gamification into hybrid learning environments has emerged as a promising approach to enhance student outcomes. However, there remains a lack of comprehensive frameworks for designing gamified hybrid courses and validating their impact on student outcomes. This paper proposes a design science-based approach to gamified course design in hybrid learning contexts. Drawing on the principles of design science research, we developed a framework for designing a gamified hybrid course curriculum that incorporates course content, activities, and assessments based on four elements of gamification (achievement elements, utilitarian value, hedonic benefits, and competition). To validate the effectiveness of our approach, we conducted a study with 294 students enrolled in a hybrid business course that implemented the proposed gamification framework. Our findings indicate that all gamification elements of our proposed gamified hybrid courses positively enhance student engagement, achievement, and satisfaction. Ultimately, this paper not only contributes to the 'gamification in education' literature by providing a comprehensive framework for designing engaging and effective hybrid courses but also proposes a roadmap for the application of design science to embed gamification in business course curriculum design within the context of modern hybrid learning environments.

The frequency and richness of the theories developed, tested, and used by researchers in an academic discipline exemplify several pertinent factors, namely, the growth, the maturity, the independence, the legitimacy, and the influence of the discipline. Although organizations have been working on projects for centuries, Project Management (PM) is a considerably new academic discipline with emerging research themes, models, methodologies, frameworks, and paradigms. These PM concepts are anchored on or reinforced by new or existing theories. This exploratory study aims to add to the existing PM body of knowledge by investigating the prevalence of theory use in PM research. A systematic content analysis of 9200 PM research articles published from 2000 to 2019 (20 years) in the leading PM journals identified 248 unique theories. These results reveal that the PM discipline is increasingly embracing the use of theories with game theory, fuzzy theory, agency theory, contingency theory, and stakeholder theory emerging as the most dominant theories in the reviewed research articles. Also, although PM is developing its theories, the results revealed that PM researchers continue to heavily use theories borrowed from other academic disciplines such as psychology, sociology, mathematics, and economics.

This study focuses on the second round of Taiwanese teacher preparation program (TPP) evaluation (2012-2017) to analyze how evaluation policy shapes TPPs. In-depth interviews were conducted with 13 stakeholders, which included professors, administrators, researchers, and staff involved in TPP evaluation. First, the findings revealed that neoliberalism influences evaluation policy and restricts the diversity of TPP development. Second, different evaluation approaches may be used to bring more inclusiveness and flexibility to evaluation standards. Third, evaluation plays an important role in TPP development, and a professional organization responsible for evaluation should be established in Taiwan in the future. To conclude, it is significant for TPP evaluation policy to consider policy ideology, evaluation standards, and program diversity to aid in improving the quality of teacher education not only in Taiwan but also internationally.

Mixed methods research, that is, research that integrates qualitative and quantitative methods, has become increasingly popular in program evaluation because of its potential for understanding complex interventions. Despite recent constructive and fruitful developments that have led to the consolidation of mixed methods as a distinctive methodology, fundamental methodological issues such as generalization have received little attention. The purpose of this paper is to provide a critical reflection on how the concept of generalization has been used in mixed methods research. The paper is structured into four main parts. First, we discuss the relevance of external validity and mixed methods research in impact evaluation. Second, we summarize how generalization is conceptualized in mixed methods research. Third, we present the results of a literature review on generalization practices in mixed methods research. Finally, we conclude with a discussion of threats to and strategies for enhancing generalization in mixed methods research.

Maternal, neonatal, and child health play crucial roles in achieving the objectives of Sustainable Development Goal (SDG) 2030, particularly in promoting health and wellbeing. However, maternal, neonatal, and child services in Moroccan public hospitals face challenges, particularly concerning mortality rates and inefficient resource allocation, which hinder optimal outcomes. This study aimed to evaluate the operational effectiveness of 76 neonatal and child health services networks (MNCSN) within Moroccan public hospitals. Using Data Envelopment Analysis (DEA), we assessed technical efficiency (TE) employing both Variable Returns to Scale for inputs (VRS-I) and outputs (VRS-O) orientation. Additionally, the Tobit method (TM) was utilized to explore factors influencing inefficiency, with hospital, doctor, and paramedical staff considered as inputs, and admissions, cesarean interventions, functional capacity, and hospitalization days as outputs. Our findings revealed that VRS-I exhibited a higher average TE score of 0.76 compared to VRS-O (0.23). Notably, the Casablanca-Anfa MNCSN received the highest referrals (30) under VRS-I, followed by the Khemisset MNCSN (24). In contrast, under VRS-O, Ben Msick, Rabat, and Mediouna MNCSN each had three peers, with 71, 22, and 17 references, respectively. Moreover, the average Malmquist Index under VRS-I indicated a 7.7% increase in productivity over the 9-year study period, while under VRS-O, the average Malmquist Index decreased by 8.7%. Furthermore, doctors and functional bed capacity received the highest Tobit model score of 0.01, followed by hospitalization days and cesarean sections. This study underscores the imperative for policymakers to strategically prioritize input factors to enhance efficiency and ensure optimal maternal, neonatal, and child healthcare outcomes.

Cooperation between employees in a company is an important input to firm performance. This study examines how a manager's cooperative behavior and the visibility of this behavior affect the cooperation amongst employees, and subsequently firm performance. To do so, we conducted a field experiment with managers and their employees from 320 Vietnamese small and micro firms to determine the impact of a manager's leading by example (LBE) on employees' behavior, corporate culture, and firm performance. Both managers and employees participated in a Public Good experiment which aimed to elicit an individual cooperative behavior. Noteworthy is that the decision made by a manager in the experiment was given as an example to employees before they made decision in that same experiment. We considered that the example of cooperation by managers in the Public Good experiment communicated a powerful signal to the employees regarding the importance of fostering cooperation in the workplace. Such a signal by the manager, who is at the top in the organizational hierarchy, would impact their employees' behavior in the workplace and firm's outcomes beyond the experiment. Interestingly, we found that concealing a manager's identity from their employees enhances the impacts of LBE.

As found in behavioral decision theory, venture capitalists (VCs) rely on heuristics and bias, owing to their bounded rationality, either by limited alternatives or information and resources. India's booming startup scene challenges VCs in decision-making owing to information overload from numerous evolving ventures, which hinders informed judgment. VC investment behavior, due diligence, and cognitive factors related to decision-making have always drawn the attention of researchers. We provide an alternative approach for an optimal decision by VCs by identifying the attributes that influence investment or funding decisions at an early stage of a venture in tech-based industries. Through a literature review, we identify eight attributes, both on internal and external criteria, that venture investors consider when making investment decisions. Based on interviews with 20 experts, we further identify eight key tech-based sectors. Using grey system theory, we then determine the rankings of eight tech startups for investors' early-stage investment decisions. This study presents a linguistic variable-based approach of grey numbers to decide weights and ratings, the grey possibility degree to compare and rank different tech startups, and based on the results, suggests the ideal tech startup. We find that agritech ranks first; thus, investors should prefer venturing into such startups for early-stage investment. E-commerce and edutech ranked second and third, respectively, followed by electric vehicle infrastructure, insurtech, fintech, space tech, and software as a service.