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Employee engagement in unhygienic cyber practices (UCP) is a concern for organizations across the world. The purpose of this paper is to explore the effects of personal and environmental factors in decreasing workers’ engagement in UCP in a developing country: A personal-environment-behavior model was adapted for the study. Data was collected from working MBA students in Ethiopia. The key results show that the personal factor of self-regulation related to acceptable cyber practices decreases workers’ engagement in UCP, while self-efficacy did not. The environmental factor of computer monitoring (CM) decrease workers’ engagement in UCP, while the availability of security education and training awareness (SETA) programs did not. Both CM and SETA have positive effects in improving self-efficacy. Only SETA programs positively impact self-regulation. This study adds to the understanding of end-user security behavior by focusing on UCP with insights from a developing country.

Participation or engagement in unhygienic cyber practices could ultimately harm an organization's information and communication technologies, if unchecked. This present study used concepts from the theory of planned behavior and organizational control theory to examine the effects of factors such as attitude, subjective norms, organizational facilitators, monitoring, and self-efficacy on workers' participation in unhygienic cyber practices. A cross-sectional survey of Nigerian professionals was used to test the formulated hypotheses. Partial least squares technique of structural equation modeling (SEM) was used for data analysis. The results indicate that attitude toward cyber hygiene has a negative effect on worker's participation in unhygienic cyber practices; similarly, subjective norms have a negative effect on engagement in such acts. The data did not show that organizational facilitators, self-efficacy, and monitoring had a meaningful impact on Nigerian workers' participation in unhygienic cyber practices. Implications of the study were discussed and contribution to the extant literature noted.

The philosophy and practice of open source software (OSS) affected not only software production but also implementation and use. However, little is known about the intricacies of implementation and use of domain-specific, frontend information systems compared to production. Especially, empirical studies that examine the learning mechanisms in OSS implementation in developing countries are scant. This paper fills the gap by investigating the implementation of an OSS in a resource-constrained setting. Drawing upon communities of practice and networks of practice theories, the paper examines the mechanisms of the OSS approach that enable knowledge circulation, technology transfer, innovation, and sustainability, and interrogates the technology transfer conceptualization in the light of the approach. It also highlights the measures practitioners and policymakers should take to benefit from OSS.

E-government has been one of the top government strategies in recent years. Several studies and projects have attempted to understand the scope of e-government and the measurement framework that can be deployed to track the readiness as well as progress of nations overtime. Among these initiatives is the United Nations Public Administration Network (UN PAN) that assesses the e-government readiness of nations according to a quantitative composite index based on telecommunication infrastructure, human capital, and online services. Using the UN PAN index data from 2008 to 2016, the article profiles African nations using unsupervised machine learning technique. It also examines the resulting cluster profiles in terms of theoretical perspectives in the literature and derive policy insights from the different groupings of nations and their evolution over time. Finally, the article discusses the policy implications of the proposed methodology and the insights obtained.