The Impact of Technological Innovation, Research and Development, and Energy Intensity on Carbon Emissions: An Experience from BRICS and OECD Countries

The impact of technological innovation, research and development, and energy intensity on carbon dioxide emissions is examined in this study. A panel data econometric analysis of relevant variables extracted from the OECD and World Development Indicators databases for 36 OECD and 5 BRICS countries from 2005 to 2018 reveals that the Kao panel cointegration test revealed all countries, BRICS countries, and OECD countries exhibited cointegrated relationships regarding the selected variables. At this point, the correlation matrix shows that none of the independent variables has a strong correlation coefficient with the dependent variable. We also used two regression methods to evaluate the long-run association between the study's variables; the two-stage least square (2SLS) and panel generalized method of moments (GMM) both provide similar results, indicating that they are robust. According to the findings, technological innovation and R&D have a positive association with CO2 emissions, but energy intensity has a negative relationship with CO2 emissions.

Fusion+SNA

Multiple models exist for understanding and predicting the adoption of technological innovations including SAMR, TPACK, and ADDIE. The authors have found these models are generally static, thus discounting the inherently iterative nature of adopting technological innovations. To address this gap, the authors have proposed a new model called Fusion+SNA which combines the dynamic nature of activity theory and diffusion of innovation research with an in-depth understanding of social networks. The authors employ the Fusion+SNA model in a case study that reported on a real attempt at an adoption of technological innovation in a K-12 context with a cohort of fifth-grade students and their teachers.

Gamification and Augmented Reality to Upgrade Elementary Bilingual Education Students' Health and Engagement

Sedentary life-style, obesity, and early school leaving have been identified as major causes leading to the biggest health and educational problems in developed countries. This may derive into students showing a not recommended passive role at these ages, which also leads to their lack of interest and motivation in learning and education. This chapter presents an innovation research project which aims to face sedentariness in elementary school by applying an instructional technology-based model with the use of gamification and augmented reality in a bilingual education context. The case study shows several educational advantages, including increase in physical exercise, health awareness, learning engagement, and upgrade in L2 content understanding and linguistic skills.

Gamification and Augmented Reality to Upgrade Elementary Bilingual Education Students' Health and Engagement

Sedentary life-style, obesity, and early school leaving have been identified as major causes leading to the biggest health and educational problems in developed countries. This may derive into students showing a not recommended passive role at these ages, which also leads to their lack of interest and motivation in learning and education. This chapter presents an innovation research project which aims to face sedentariness in elementary school by applying an instructional technology-based model with the use of gamification and augmented reality in a bilingual education context. The case study shows several educational advantages, including increase in physical exercise, health awareness, learning engagement, and upgrade in L2 content understanding and linguistic skills.

The Relationship between Persuasion Cues and Idea Adoption in Virtual Crowdsourcing Communities

Building on the elaboration likelihood model (ELM) and absorptive capacity, this study develops a four-dimensional model of idea adoption in Virtual Crowdsourcing Communities (VCCs) and examines the influence of different persuasion cues on idea adoption. The research model was tested using hierarchical logistic regression based on a dataset from the Tableau community. The results show that both community recognition of users and community recognition of ideas are positively related to idea adoption. Proactive user engagement has a significant positive impact on idea adoption, while reactive user engagement has no significant impact. Idea content quality, represented by idea length and supporting arguments, has an inverted U-shaped relationship with idea adoption. Community absorptive capacity positively moderates the curvilinear relationship between idea content quality and idea adoption. These results contribute to a better elucidation of the persuasion mechanisms underlying idea adoption in VCCs, and thus provide important implications for open innovation research and practice.

Spread and conditions of Social Innovation Research in Austria in the field of Social Sciences

This paper scrutinises the spread and the conditions of social innovation research in Austria in social sciences. Although the empirical results are inconclusive, social innovation is definitely not a marginal topic in social sciences in Austria. More than 80% of the responding social scientists deal with social innovation at different levels of intensity. It also seems that social innovation works well for the overall self-representation of the universities. The construct of social entrepreneurship has probably contributed most to anchoring the notion of social innovation in the higher education sector in Austria, especially in teaching. Although some curricula and courses are more confined to traditional business school topics, some transcend the narrow business focus towards sociological and political approaches. The academic embedding of social innovation in Austria, however, is still hampered by structural factors. Our findings show a lack of both tangible and intangible support measures.

Economic and Social Impacts of Social Entrepreneurship Implementation Service to Community

The government's policy to prevent the spread of COVID-19 has limited physical interaction between communities, creating problems for various everyday economic activities. One of which is the existence of a grant given by the Ministry of Research and Technology / National Innovation Research Agency of the Republic of Indonesia for the implementation of community service by guiding the development of micro?businesses in society. This type of research is a descriptive method with a qualitative approach. Data collection was conducted by interviewing eight informants consisting of recipients of the Family Hope Program assistance. Documentation and observation were also carried out to strengthen the data. Data analysis used an interactive model following Milles and Huberman's opinion, namely: data reduction, data presentation, and conclusion drawing.

Drivers, Processes, and Outcomes of the STI and DUI Modes of Innovation: A Systematic Review

Two promising streams of research in innovation involve the innovation stemming from the interaction of multiple actors (i.e. innovation networks) and innovation modes [the modes focused on science, technology, and innovation (STI) and learning by doing, using, and interacting (DUI)]. However, scholars have not exerted much effort in cross-referencing these two literature streams. Following a protocol to conduct a systematic review of the literature, through Scimago journals ranking (Q1 and Q2 classification) available at the Web of Science and B-On databases, this study considered 44 articles for eligibility. Moreover, it systematically considers the key features of innovation emerging from DUI networks versus STI networks. Finally, it contributes to future innovation research by comprehensively reviewing the drivers, processes, and outcomes of the STI and DUI innovation emerging from networks.