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The governance of our towns and cities requires an approach that connects people with nature and places. Digital technology can be the glue that does this, if it serves the needs of the various stakeholders, including urban communities. It means identifying the potential connections across people, digital, and place themes, examining successful approaches, and exploring some of the current practice (or lack of it) in spatial planning and smart cities. This can be considered using a range of Internet of Things (IoT) technologies with other methodologies which combine the use of socioeconomic and environmental data about the urban environment. This ambient domain sensing can provide the ecological and other data to show how digital connectivity is addressing the placemaking challenges alongside providing implications for urban governance and communities.

A number of recent artificial intelligence (AI)-enabled technologies, including summarisers, paraphrasers and the cutting-edge chatbots not only have outstanding potentials in modern educational systems but also could lead to a dramatic paradigm shift in the whole education process. This study aims to explore the factors that shape the academic community’s desire and intention to use AI conversational chatbot technology, with a particular focus on the leading ChatGPT.

This study uses a mixed method approach to explore the educators’ adoption of chatbots through an empirically validated model. The model, known as the “Educators’ Adoption of ChatGPT”, was developed by integrating the theoretical foundations of both the Unified Theory of Acceptance and Use of Technology and Status Quo Bias (SQB) frameworks, as well as insights gathered from interviews. The relationships within this model were then tested using a quantitative approach. The partial least squares-structural equation modelling method was used to analyse 243 valid survey responses.

The outcomes of the analysis indicated that perceived educators’ effort expectancy, educators’ autonomous motivation, perceived learners’ AI competency, perceived educators’ competency, innovative behaviour towards technological agility and perceived students’ engagement are significant determinants of educators’ intention to use chatbots. In contrast, perceived unfair evaluation of students, perceived students’ overreliance and perceived bias/inaccuracies were shown to have significant impacts on the resistance to use the technology, which typically implies a negatively significant influence on the educators’ use intention. Interestingly, perceived fraudulent use of ChatGPT was proven insignificant on the resistance to use chatbots.

This study makes a significant contribution to the field of educational technology by filling the gap in research on the use and acceptance of AI-enabled assistants in education. It proposes an original, empirically validated model of educator adoption, which identifies the factors that influence educators’ willingness to use chatbots in higher education and offers valuable insights for practical implementation.

The introduction of artificial intelligence (AI) applications in the Global South brings tremendous potential for both good and harm. This paper aims to highlight the guiding ethical principles and normative frameworks for the ethical use of AI in the lens of the traditional Ga (a tribe in Ghana) philosophy and add to the academic literature and research on AI and ethics within the African context.

Literature overview on the African philosophy of Ga tradition as applied to AI and application of it to the AI4people ethical framework for a good AI society.

Existing principles in AI are based on and mostly influenced by western principles, which may give rise to biases in AI outcomes and design implications in Africa. The research finds a high degree of overlap in the AI4People ethical framework for a good AI society and the Ga philosophy.

There are a few existing literatures on AI ethics in Africa and on Ga philosophy.

This research offers valuable contribution to the ongoing discourse of Africa’s adoption of AI and widens the debate on AI and ethics beyond the western ethical approaches.

The purpose of the study was to identify the inter-relationship of certain antecedents of innovative work behaviour (IWB). The antecedents identified for the study were workplace agility (WA), organizational identity (OI) and organizational solidarity (OS).

Data for the study were collected online using four standardized and validated questionnaires from 364 gainfully employed respondents from across Saudi Arabia. The respondents belonged to various forms of organizations like manufacturing, service, hospital and banking. The data collected for the study were analysed using structural equation modelling (SEM).

The study found a significant positive relationship between the identified concepts of WA, workplace identity, OS and IWB.

A detailed review of the literature found that no previous studies had examined the complex relationship between the identified constructs. The results of the study found a significant positive relationship between the constructs. The findings of the study have many theoretical and practical values and implications. It also enriches the literature about the antecedents of IWB. It is expected that the present study will act as a trigger for more empirical examinations in this interesting area.