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Without a doubt, COVID-19 is a disruptive event that one may not consider before it becomes a global pandemic. This study aims to examine the firm’s risk preference, represented as board characteristics towards COVID-19 exposure in Indonesia.

This study uses the boardroom’s average value of board age and female proportion to represent board characteristics. Fixed-effect regression based on industry (Industry FE) and year (Year FE) analyses 861 firm-year observations of all firms listed on the Indonesian Stock Exchange in 2019–2020.

The result shows a positive relationship between the female board and COVID-19 exposure disclosure. Meanwhile, the age proportion does not offer a significant result. The additional analysis document that the directors mainly drove the result and were only relevant during 2020. These results are robust due to coarsened exact matching tests and Heckman’s two-stage regression. This study enriches COVID-19 literature, especially from a quantitative perspective.

The rise of global crises makes the outputs of this study important for non-financial listed firms in Indonesia.

This study aims to solve optimal pricing and power bidding strategy problem for integrated combined heat and power (CHP) system by using a modified heuristic optimization algorithm.

In electricity markets, generation companies compete according to their bidding parameters; therefore, optimal pricing and bidding strategy are solved. Recently, CHP units are significantly operated by generation companies to meet power and heat, simultaneously.

For validation, it is shown that profit is improved by 0.04%–48.02% for single and 0.02%–31.30% for double-sided auctions. As heat price curve is extracted, the simulation results show that when CHP system is integrated with other units results in profit increase and emission decrease by 3.04%–3.18% and 2.23%–4.13%, respectively. Also, CHP units significantly affect bidding parameters.

The novelties are pricing and bidding strategy of integrated CHP system is solved; local heat selling is considered in pricing and bidding strategy problem and heat price curve is extracted; the effects of CHP utilization on bidding parameters are investigated; a modified heuristic and deterministic optimization algorithm is presented.

This study aims to explore the role of eXtensible Business Reporting Language (XBRL) adoption in improving financial statements transparency in the Jordanian context.

The partial least squares structural equation modeling approach was used to analyze the obtained data.

The empirical outcomes indicated that the adoption of XBRL contributes to improving financial statements transparency in listed Jordanian firms in the Amman Stock Exchange, whereas information technology (IT) infrastructure was found to moderate the relationship between XBRL adoption and improving financial statements transparency and hence the related hypotheses were accepted.

This study encouraged the importance of shifting to the adoption of the XBRL which will contribute to improving transparency of financial data and information in listed Jordanian firms and then support the process of decision-making.