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The purpose of this paper is to investigate the effect of bond issuance announcements on share price returns in three emerging markets and examine the characteristics of bond issues that affect the abnormal share price returns of the company.

This study employs event study, correlation and multiple regression techniques to attain the research objectives. The authors test hypotheses on 105 public listed companies from Malaysia, Singapore and Thailand, during the period of 2008–2014.

The findings show positive cumulative average abnormal returns resulting from the announcement of corporate bond issuance for Malaysia, Singapore and Thailand. The results reveal that there is a significant effect of bond issuance announcements on share price returns. The results also disclose that the market is not efficient at its semi-strong form as proposed by the market efficiency hypothesis.

The results provide better references for fund managers and investors in capital markets to take advantage of the abnormal returns resulting from bond issuance announcements.

The traditional methods of library book lending and membership control are discussed, and the advantages of bar code based automated systems are suggested. The experiences of seven major Singapore libraries in implementing such systems are compared, with special reference to the use of ‘specific’, ‘significant’ or ‘smart’ bar codes, comparisons of purchased versus locally printed labels and homebrew versus turnkey systems, and a look at the problems of retrospective conversion.

This paper aims to examine the factors influencing renewable energy output.

The panel data model was used to analyze the fixed and random effects.

The results showed that economic development, environmental-related technology patents, renewable energy consumption and the publication of papers and periodicals contributed to enhancing renewable energy production. Wind power generation’s adjustment speed is faster than that of solar power generation in the renewable energy sector. The use of renewable energy was affected by the weather and related costs.

Many countries choose energy with reasonable prices and stable power generation and use renewable energy as additional backup power.

The purpose of this study is to analyze the operations and performance dynamics of a supply chain (SC) subject to disruptions. The preparedness of Moroccan responders in handling emergencies could be enhanced significantly, by devising digital twin-based decision support systems (DSSs).

The authors create a discrete-event simulation model to investigate proactively risks and resilience of a Moroccan basic-items SC (BISC). In this study, the authors analyze the effects of catastrophe-related disruptions (CRDs) on the Moroccan BISC, by the use of a simulation-based decision-supporting quantitative method.

In the disruption-free simulation experiment, the outcome was a satisfactory 100% coverage. By implementing CRDs, inventory levels have dropped, service levels decreased, lead time raised and there was an increase in backlogged products and late orders numbers. The highest impact was observed for the shutdown of paths linking suppliers to warehouses, whereas the increase in demand had a comparatively minor effect. The risk analysis approach helps to identify critical products for which the time-to-recover is longer and requires more commitment to enhance their resilience.

The model serves to deduce quantitative resilience assessment from simulation, streamline the selection of recovery strategies and enable the best-informed reactive decision-making to minimize the impact.

The research brings organizing solutions to catastrophe-related emergencies in Morocco. It would contribute significantly by visualizing, examining and unveiling the effects of disruptions on a BISC and offering actionable recommendations for remedial measures.