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The nature of the collaborations that exists among the organizations in the climate change and agriculture sectors can influence the tailoring of climate forecasts into information useable for adapting agricultural practices to the risks posed by climate change. Also, the extent to which farmers are integrated into this organizational collaboration network can influence their access to climate information. This paper aims to examine how organizational collaborations in the process of climate information generation and dissemination acts as either barriers or enablers of farmers’ access to and use of climate information in Ghana.

This study used key informant interview and questionnaire survey to interview the organizations in the climate change and agriculture sectors. Using network analysis as an analytical framework, the authors estimated the networks’ core-periphery, density, reciprocity and degree centrality.

The authors observed that communication of climate information to farmers is mostly influenced by the collaborations between governmental organizations and nongovernmental organizations. Nevertheless, information flow and exchange through organizational collaboration network is having limited effect on improving farmers’ knowledge about climate risks, impacts and available risk response options. This is mostly because the feedback flow of information from farmers to national level organizations has not been effective in addressing localized climate/agro challenges.

This paper provides a critical overview of key issues in influencing the relevancy and usefulness of climate information in the Ghanaian agriculture sector. Insights gained and recommendations made are essential for deploying effective climate services in Ghana and can be relevant for many African countries because of similar socioeconomic contexts.

Interruptions are prevalent in knowledge work, and their negative consequences have driven research to find ways for interruption management. However, these means almost always leave the responsibility and burden of interruptions with individual knowledge workers. System-level approaches for interruption management, on the other hand, have the potential to reduce the burden on employees. This paper’s objective is to pave way for system-level interruption management by showing that data about factual characteristics of work can be used to identify interrupting situations.

The authors provide a demonstration of using trace data from information and communications technology (ICT)-systems and machine learning to identify interrupting situations. They conduct a “simulation” of automated data collection by asking employees of two companies to provide information concerning situations and interruptions through weekly reports. They obtain information regarding four organizational elements: task, people, technology and structure, and employ classification trees to show that this data can be used to identify situations across which the level of interruptions differs.

The authors show that it is possible to identifying interrupting situations from trace data. During the eight-week observation period in Company A they identified seven and in Company B four different situations each having a different probability of occurrence of interruptions.

The authors extend employee-level interruption management to the system-level by using “task” as a bridging concept. Task is a core concept in both traditional interruption research and Leavitt's 1965 socio-technical model which allows us to connect other organizational elements (people, structure and technology) to interruptions.

This study aims to use self-reported publicly available student assessment data from the time period when there was an abrupt change in instructional method at the start of COVID-19 to assess potential for differences as a result of course delivery mode.

A general linear model using 837 student evaluations from 191 US public higher education institutions investigates the impact on student performance and how performance was related to a number of covariates, namely, online experience of instructor prior to shut downs, discipline of study and size of institution.

The analysis finds an overall grade point average (GPA) increase of 0.10 (out of 4.0) associated with the shift away from face-to-face instruction. In exploring potential covariates, only institutional size was significant in explaining this increase in GPA. This supports the notion that despite hardships inherent with the abrupt switch to online education across the country that student grades as a whole did not suffer.

The source of data was self-reported. In addition, GPA is an imperfect measure of student learning. Despite this, because GPA is highly correlated with student satisfaction, retention and matriculation, it is relevant.

This study suggests that the rapid transition to online instruction did not negatively impact student performance and may have marginally increased these marks. These findings were cross-disciplinary and not influenced by the instructor’s prior online teaching experience. These findings support the idea that institutions and instructors should be more willing to use a variety of delivery modes going forward.

The data set used is uniquely large and varied in the number of institutions, professors, students and discipline. The COVID-19-induced transition from largely in-class instruction to mostly online or remote instruction allowed for a natural experiment that eliminates the sample selection problem associated with most other instructional method comparison studies.

This paper investigates how two characteristics of language, abstractness vs concreteness and narrativity, influence user engagement in communication exercises on innovation targeted to the general audience. The proposed conceptual model suggests that innovation fits well with more abstract language because of the association of innovation with imagination and distal construal. Moreover, communication of innovation may benefit from greater adherence to the narrativity arc, that is, early staging, increasing plot progression and climax optimal point. These effects are moderated by content variety and emotional tone, respectively.

Based on a Latent Dirichlet allocation (LDA) application on a sample of 3225 TED Talks transcripts, the authors identify 287 TED Talks on innovation, and then applied econometric analyses to test the hypotheses on the effects of abstractness vs concreteness and narrativity on engagement, and on the moderation effects of content variety and emotional tone.

The authors found that abstractness (vs concreteness) and narrativity have positive effects on engagement. These two effects are stronger with higher content variety and more positive emotional tone, respectively.

This paper extends the literature on communication of innovation, linguistics and text analysis by evaluating the roles of abstractness vs concreteness and narrativity in shaping appreciation of innovation.

This paper reports conceptual and empirical analyses on innovation dissemination through a popular medium – TED Talks – and applies modern text analysis algorithms to test hypotheses on the effects of two pivotal dimensions of language on user engagement.

This research aims to explore childhood construction in the Afghan refugee community living in Pakistan. Young Afghan people aged 12–18 who were working on the streets participated in the generation of data for this study in 2019. Ethnographic research approaches with semi-structured in-depth interviews and field observations were used to obtain real insights. Young Afghan refugees have been a constant phenomenon on the streets for decades in the twin cities of Pakistan – Rawalpindi and Islamabad – where this research was conducted and are involved in different street-based casual activities. The findings show that young people face discrimination and exclusion from the mainstream of society due to their undefined citizenship status and poverty. Parents see their children as dependents and as assets for their old age, and children and young people need to work to support their families who live in poverty. In fulfilling their filial responsibilities, young people sacrifice their schooling and have limited opportunities to learn new skills. It is concluded that the government and other international institutions with responsibility for setting policies and creating programs for young Afghan refugees need to understand the dynamics of the families in which the young people live and how these families inculcate them with their generational values.