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The purpose of this paper is to investigate the current capital budgeting practices in Bangladeshi listed companies and provide a normative framework (guidelines) for practitioners.

Data were collected with a structured questionnaire survey taking from the chief financial officers (CFOs) of companies listed in the Dhaka Stock Exchange in Bangladesh. Garnered data were then analyzed using descriptive and inferential statistical techniques.

The results found that net present value was the most prevalent capital budgeting method, followed closely by internal rate of return and payback period. Similarly, the weighted average cost of capital was found to be the widely used method for calculating cost of capital. Further, results also revealed that CFOs adjust their risk factor using discount rate.

The findings of this study might help the firms, policymakers and practitioners to take a wise decision while evaluating investment projects. Additionally, this study’s findings enrich the existing body of knowledge in the field of capital budgeting practices by providing more reliable and comprehensive analysis taking samples from a developing economy.

A decade after Powell et al.’s (2011) seminal article on behavioral strategy, which called for models to solve real-world problems, the authors revisit the field to ask whether behavioral strategy is coming of age. The purpose of this paper is to explain how behavioral strategy can and has been used in real-world settings.

This study presents a conceptual review with case study examples of the impact of behavioral strategy on real-world problems.

This study illustrates several examples where behavioral strategy debiasing has been effective. Although no causal claims can be made, with the stark contrast between the negative impact of biased strategies and the positive results emerging from debiasing techniques, this study argues that there is evidence of the benefits of a behavioral strategy mindset, and that this should be the mindset of a responsible strategic leader.

This study presents a demonstration of analytical, debate and organizational debiasing techniques and how they are being used in real-world settings, specifically military intelligence, Mergers and acquisitions deal-making, resource allocation and capital projects.

Behavioral strategy has broad application in private and public sectors. It has proven practical value in various settings, for example, the application of reference class forecasting in large infrastructure projects.

A conceptual review of behavioral strategy in the wild.

When we take the lens of race, ethnicity, gender, and class to the collected academic work on women business owners, what does it reveal? What do we really know? Are there differing definitions of success across segments of the women businessowner demographics? Do the challenges faced by African American women entrepreneurs differ from those confronting white female entrepreneurs? Do immigrant female women businessowners face more significant institutional barriers than their counterparts who have been U.S. citizens for at least two generations? Are there similar reasons for starting their businesses?

Since the outbreak of COVID-19, tremendous changes have taken place in the US economy – the economic growth in the whole year of 2020 was negative, and though it enjoyed a significant rebound for the first half of 2021, the growth rate began to decline rapidly by the third quarter, and inflation suddenly rises rapidly, which after came the all-time highs of the “misery index” consisted of the inflation rate and unemployment rate. All signs indicate that the US economy will likely enter a “stagflation” crisis.

This paper analyzes the institutional and social contradictions in the United States during the neoliberal era from the perspectives of domestic social structure of accumulation (SSA) and international SSA based on the SSA theory.

The current risk of stagflation in the US economy is a concentrated outbreak of the long-term accumulated contradictions in neoliberal SSA under the impact of the epidemic, which is the product of the irreconcilable contradictions inherent in the capitalist mode of production.

Based on this analysis, the paper points out that with the deepening of the crisis, the neoliberal SSA is likely to end and a new SSA will be established gradually.

Crowdfunding (CF) is a digital-financial innovation that, bypassing credit crisis, bank system rigidities and constraints of the capital market, is allowing new ventures and established companies to get the needed funds to support innovations. After one decade of research, mainly focused on relations between variables and outcomes of the CF campaign, the literature shows methodological lacks about the study of its overall behavior. These reflect into a weak theoretical understanding and inconsistent managerial guidance, leading to a 27% success ratio of campaigns. To bridge this gap, this paper embraces a “complex system” perspective of the CF campaign, able to explore the system's behavior of a campaign over time, in light of its causal loop structure.

By adopting and following the document model building (DMB) methodology, a set of 26 variables and mutual causal relations modeled the system “Crowdfunding campaign” and a data set based on them and crafted to model the “Crowdfunding campaign” with a causal loop diagram. Finally, system archetypes have been used to link the causal loop structure with qualitative trends of CF's behavior (i.e. the raised capital over time).

The research brought to 26 variables making the system a “Crowdfunding campaign.” The variables influence each other, thus showing a set of feedback loops, whose structure determines the behavior of the CF campaign. The causal loop structure is traced back to three system archetypes, presiding the behavior in three stages of the campaign.

The value of this paper is both methodological and theoretical. First, the DMB methodology has been expanded and reinforced concerning previous applications; second, we carried out a causation analysis, unlike the common correlation analysis; further, we created a theoretical model of a “Crowdfunding Campaign” unlike the common empirical models built on CF platform's data.

The purpose of this paper is to provide an empirical evidence concerning the influence of Corporate governance and voluntary disclosures in annual reports: a post-International Financial Reporting Standards adoption evidence from an emerging capital market.

Data were collected from the annual reports of all 22 listed non-financial firms over a five-year period. Using content analysis, the audited annual reports of the firms were scored on the extent of overall and four specific types of voluntary disclosures made. The panel data obtained were analyzed using a generalized ordinary least squares regression model.

The findings of the study show that voluntary disclosures among the firms are low even after the adoption of IFRS. Corporate governance attributes of board size and board leadership structure are significant determinants of the extent of voluntary disclosures made by the firms. However, board independence and auditor type exhibit only a significant positive effect on voluntary financial and forward-looking information disclosures.

Firms’ voluntary information disclosure and governance variables were restricted to those in annual reports, which may partially reflect the reality of firms’ disclosure and governance practices.

The present study offers useful insights to regulators of the capital market to strengthen monitoring of firms to ensure strict adherence to corporate governance best practice guidelines as a means of improving information environment.

This study is one of the very few ones in Africa, especially in the context of Ghana Stock Exchange, to use post-IFRS data and examine a disaggregated voluntary disclosure by firms.