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The purpose of this paper is to analyse the effect of critical success factors (CSFs) on information technology (IT) governance performance in public sector organizations in a developing country such as Tanzania.

Based on a previous study and a further literature review, a research model was developed for analysing the relationship between the CSFs found for effective IT governance in this environment and their effect on IT governance performance. A survey research method was applied for data collection and sample data from Tanzanian public sector organizations (this environment) obtained. Subsequently, a second‐generation structural equation modelling technique, namely partial least squares, was applied to test statistically the correlated effect.

The results indicate significant small to strong positive correlated effects on IT governance performance. The CSF with the most significant correlated effect was “involve and get support of senior management” and the one with the least “consolidate, standardize and manage IT infrastructure and application to optimize costs and information flow across the organization”. Finally, a CSF model for effective IT governance in this environment was proposed.

The findings imply that decision makers can optimize IT‐related plans and use of scarce resources by concentrating on the CSFs that have a significant effect on IT governance performance that could lead to an improvement of public service delivery. This study is limited to a single developing country but future studies can involve more such countries to broaden the insights into the effect of CSFs on IT governance performance in such environments.

By establishing the correlated effects between these CSFs and the IT governance performance, this study has revealed a significant impact of CSFs on IT governance performance. It also suggests a CSFs model for effective IT governance in this less‐resourced environment in which such studies have not been conducted before, yet which are vital for analysing and improving IT governance.

Human–animal interactions (HAIs) have been found to have an extensive and significant influence on individuals' well-being and health-related outcomes. However, there are few studies that examine this influence on work-related contexts, such as teleworking. In this study, the author relied on the affective events theory to examine the effect of daily HAI on employees’ daily work engagement and the underlying mechanisms (daily affect ratio and state mindfulness), by resorting to a daily diary study.

To test the hypotheses, the author collected daily data during five consecutive working days with pet owners (N = 400 × 5 = 2,000).

Multilevel results showed that interacting with pets during the working day was positively associated with daily work engagement, but this positive relationship was stronger for individuals with lower levels of mindfulness. Further analyses showed that the daily affect ratio mediated the moderating effect of mindfulness on the relationship between daily interactions with pets and daily work engagement.

These findings provide strong support for the proposed mediated moderation model; indeed, positive affect and mindfulness help to explain the positive effect of HAIs on work engagement. Hence, managers may consider the adoption of teleworking, even in a hybrid format for those workers who own pets, because interacting with pets may be a strategy to make them feel more positive and, in turn, more enthusiastic, dedicated and absorbed in their work.

This study is one of the first studies to demonstrate the importance of adopting pet-friendly practices, such as allowing pet owners to telework, as a way to promote daily work engagement.

Contemporary workplaces undergo frequent reorganizations in order to stay competitive in a working life characterized by globalization, digitalization, economic uncertainty, and ever-increased complexity. Managers are in the frontline of these challenges, leading themselves, organizations and their employees in high stress environments. This raises questions on how to support managers’ work-life sustainability, which is crucial for organizational sustainability. Mindfulness has been related to enhanced capacities to cope with challenges that are associated with organizational change. The authors evaluated short- and long-term effects of an eight-week mindfulness-based intervention in a company setting, which was going through reorganization.

Forty managers (42.5% males), mean age 54.53 (SD 5.13), were randomized to the mindfulness intervention or a non-active wait-list control. Self-report data were provided on individual sustainability factors in a work context: job demands and resources, psychological detachment, i.e. possibilities for letting go of work-related thoughts during leisure, control over work-nonwork boundaries, work-life balance, and mindfulness at baseline, postintervention, and at 6-month follow-up.

Linear mixed models (LMMs) analysis (all ps < 0.005 to 0.05) showed that the intervention group had a larger decrease in job demands and a smaller decrease in job resources, a larger increase in psychological detachment, work-nonwork boundary control, work-life balance, and mindfulness from baseline to postintervention when compared with the reference group. These initial effects were sustained at 6-month follow-up.

The study provides evidence that mindfulness practice can enhance managers’ long-term capacity to cope with challenging working conditions, and increase their work-life sustainability in times of organizational change and disruption.

This study is an updated and enhanced version of the study named “Building a methodology to assess the e‐government transformation success” presented by İskender and Özkan in the 18th Americas Conference on Information Systems (AMCIS 2012). The main purpose of this study is to explain the development of the methodology presented in the previous study in detail, but as an add‐on to the previous one, it also applies the developed methodology on the real data collected from Turkish public institutions to show the practical implementation of it and to evaluate the preliminary results.

The methodology explained in this study is designed to collect quantitative data to assess the relationship between the success level of e‐government transformation in Turkish public institutions (dependent variable) and the probable factors (independent variables) which might be effective on this success. The dependent variable is formed by using the framework of IS Success Model created by DeLone and McLean (D&M IS Success Model), while the independent variables are gathered from literature by analyzing 100 studies focusing on probable success factors.

The major output of this study is a common methodology designed to collect and analyze the data of different stakeholder groups in e‐government transformation, but the practical implementation shows that the independent variables gathered from the literature as the probable causes of the success in e‐government transformation are not really the causes of this success, although they are positively correlated to it. In addition to this, trying to evaluate the effect of each single independent variable on the dependent variable separately is not a logical way, as some of these variables are subject to reciprocal suppression with the other ones.

Although the developed methodology is a generic one, the practical implementation of it in this study only uses the data of Turkish public institutions.

Since the methodology is a generic one, it might be used by the other interested researchers to do similar or alternative analyses with the same or different sample groups.

Understanding the relationship between the e‐government transformation success and the probable success factors better might be helpful to develop better policies focusing on the social, legal, technical and economic dimensions of the subject more properly.

Apart from the similar studies in the literature, the methodology developed in this study provides a way for the researchers who want to collect comparable quantitative data not only from external stakeholders (citizens who use e‐government services) but also from internal stakeholders (government officials who provide these services and benefit from them in the internal processes of the public institutions).