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Strategic decision importance has rarely been investigated as a decision-specific characteristic in the strategic decision-making process (SDMP) literature taking into consideration information management while taking important strategic decisions. Here, the ability of decision importance to predict decision effectiveness as an outcome of SDMPs in higher education institutions (HEIs) is examined in the context of Bahrain.

A conceptual model is developed relating decision importance to decision effectiveness indirectly via the SDMP characteristics intuition, rationality and decentralization. Data from a cross-sectional questionnaire completed by leaders of HEIs and academics involved in strategic decision-making in Bahrain are used to test the model and hypotheses via correlation analysis. The paper also considers a literature review of the use of information management while taking a strategic decision.

Decision importance is shown to positively influence decision effectiveness in Bahraini HEIs mediated by rationality and by decentralization in decision-making, although negative effects of decentralization are also demonstrated. However, decision importance does not influence decision effectiveness mediated by intuition.

Due to the small sample size, the results cannot be generalized to contexts beyond HEIs in Bahrain. Additional SDMP characteristics of significance in the context of HEIs could be future investigated, for instance, political behaviour and lateral communication, are not included in the model. Future research exploring the latter two aspects could provide deeper insight into the findings.

The findings of this paper could be considered by HEIs senior management and members of the governing body while strategic decision-making, which could be at different levels, including strategic planning or assessing a strategic decision in terms of effectiveness. This paper will also provide insight one the use of information while considering strategic decision-making.

A model leading for effective strategic decision-making could be used by leaders of HEIs and regulators including licensing bodies and QA agencies to set standards for HEIs for sustainable performance and quality education in line with United Nations Sustainable Development Goals and Initiative. Strategic decision-making will have an impact on the overall performance of HEIs and serve all relevant stakeholder’s including parents, students, employers and industry.

Little research conducted in relation to strategic decision-making in the Gulf Cooperation Council therefore, this research will add original findings and the outcome of this study will lead to future research related to SDMP and the use of information management in the overall strategic decision-making.

This paper aims to review the information management aspects of the early months of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) coronavirus 19 outbreak. It shows that the transition from epidemic to the pandemic was caused partly by poor management of information that was publicly available in January 2020.

The approach combines public domain epidemic data with economic, demographic, health, social and political data and investigates how information was managed by governments. It includes case studies of early-stage information management, from countries with high and low coronavirus disease 2019 impacts (as measured by deaths per million).

The reasons why the information was not acted upon appropriately include “dark side” information behaviours (Stone et al., 2019). Many errors and misjudgements could have been avoided by using learnings from previous epidemics, particularly the 1918-1919 flu epidemic when international travel (mainly of troops in First World War) was a prime mode of spreading. It concludes that if similar outbreaks are not to turn into pandemics, much earlier action is needed, mainly closing borders and locking-down.

The research is based on what was known at the time of writing, when the pandemic’s exact origin was uncertain, when some statistics about actions and results were unavailable and when final results were unknown.

Governments faced with early warning signs or pandemics must act much faster.

If the next virus is as infectious as SARS-CoV-2 but much more fatal, the world faces disastrous consequences if most governments act as slowly as this time.

This is one of the first analyses of information management practices relating to the pandemic’s early stages.