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This study aims to examine the effects of iPad distribution on all teachers in a university and its application in teaching and student learning at home via wireless network during the coronavirus (COVID-19) pandemic. The attitude towards the use of iPads, behavioural intentions and the impact on the quality of teaching were evaluated.

This study used the technology acceptance model to explore the use of iPad smart mobile devices in multimedia teaching applications by university teachers. Furthermore, it used the structural equation modelling (SEM) for data analysis to explore the causal relationship between model variables, and it aimed to examine the causal relationship between variables to verify the theory. The SEM analysis included the following two stages: measurement model analysis and structural model analysis.

The “Internet information environment” had a significant positive impact on “perceived usefulness” and “perceived ease of use”. Amongst them, perceived usefulness had a significant positive effect on the use attitude, and use attitude had a significant positive effect on behaviour intention.

The findings confirmed that a good information network environment will directly and positively affect the perceived usefulness and the ease of use of iPad smart devices, of which the perceived usefulness will further positively affect teachers' perception of iPad smart devices. The attitude and behaviour of using such devices will in turn positively affect the quality of teaching. The results of the quality performance evaluation can be referenced further by manufacturers and scholars regarding the use of iPad smart devices for work at home during the COVID-19 pandemic.

This research paper aims to explore the impact artisan cooperatives have upon women employed in Sub-Saharan Africa. Impacts were detailed using the theoretical framework of social capital theory to demonstrate the networks within artisan cooperatives that connect to greater opportunities for social and economic benefits.

A phenomenological approach was used for this study based upon the shared experiences of women who were leading artisan cooperatives in Sub-Saharan Africa. This study included semi-structured interviews over Zoom with Chief Entrepreneur Founders of artisan cooperatives located in Sub-Saharan Africa. Documents from the cooperatives were analyzed to triangulate the cooperatives’ current projects and efforts.

Three prevalent themes emerged: (1) key partnerships, (2) benefits of the cooperative and (3) change and growth among the women and communities. Empowerment was felt through both economic and social impacts upon the women.

This article captures the perspective of the Chief Entrepreneur Founders and their observations and experiences the women shared with them. Emic perspectives from the women who participate in the artisan cooperatives is the focus of future research.

These social enterprises serve as exemplary models for other cooperatives to provide dignified and sustainable work to impact the lives of women serving in these communities.

This study contributes research on social entrepreneurship within artisan cooperatives. It provides a baseline for further research on the artisan sector specifically for the sustainable development goals of gender equality, decent work and economic growth.

The main purpose of this paper is to explore whether the nature of innovation is accumulative or radical and to what extent past year accumulation of technology stock can predict future innovation. More importantly, the authors are concerned with whether a change of policy regime or a variance in the quality of technology will moderate the nature of innovation.

The authors examined a dataset of 3.6 million Chinese patents during 1985–2015 and constructed more than 5 million citation pairs across 8 sections and 128 classes to track knowledge spillover across technology fields. The authors used this citation dataset to calculate the technology innovation network. The authors constructed a measure of upstream invention, interacting the pre-existing technology innovation network with historical patent growth in each technology field, and estimated measure's impact on future innovation since 2005. The authors also constructed three sets of metrics – technology dependence, centrality and scientific value – to identify innovation quality and a policy dummy to consider the impact of policy on innovation.

Innovation growth is built upon past year accumulation and technology spillover. Innovation grows faster for technologies that are more central and grows more slowly for more valuable technologies. A pro-innovation and pro-intellectual property right (IPR) policy plays a positive and significant role in driving technical progress. The authors also found that for technologies that have faster access to new information or larger power to control knowledge flow, the upstream and downstream innovation linkage is stronger. However, this linkage is weaker for technologies that are more novel or general. On most occasions, the nature of innovation was less responsive to policy shock.

This paper contributes to the debate on the nature of innovation by determining whether upstream innovation has strong predictive power on future innovation. The authors develop the assumption used in the technology spillover literature by considering a time-variant, directional and asymmetric matrix to model technology diffusion. For the first time, the authors answer how the nature of innovation will vary depending on the technology network configurations and policy environment. In addition to contributing to the academic debate, the authors' study has important implications for economic growth and industrial or innovation management policies.