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From the solution of full Navier—Stokes and energy equations, the development of the flow field and heat transfer characteristics in a radial jet reattachment flow have been analysed. The influence of Reynolds number of re‐attachment length for the case of steady laminar flows has been determined. However, beyond a Reynolds number of 250, the flow field becomes unsteady and has been found to have a periodic nature. This periodic flow has been found to persist up to a Reynolds number of 750. The periodicity has been characterized by the Strouhal number which shows a slight but continuous variation with Reynolds number around a value of 0.12. The point of maximum heat transfer is within the re‐attachment zone in the range of Reynolds numbers studied.

This study investigates the impacts of operational risks and corporate governance on bond yield spreads, examining their impacts on bond yield spreads during the COVID-19 pandemic. The results indicate that operational risks significantly raise yield spreads, especially for high-leverage firms. Moreover, a higher independent director percentage reduces debt costs. Furthermore, the results reveal more pronounced effects of operational risks on yield spreads during the COVID-19 pandemic, with these risks increasing the financing costs for large firms. When the effect of the independent director percentage on the yield spreads increases, this consequently raises the debt costs for large firms.

This paper aims to investigate whether there is heterogeneity in the relationship between the bank loan interest rate and its determinants using the quantile regression method and to reconcile some conflicting findings in prior literature.

First, the effects of 18 determinants were examined on the bank loan interest rate using the ordinary least squares method (OLS). Second, it was investigated whether the relationship between the loan rate and its determinants is heterogeneous across quantiles of loan rates using the quantile regression method.

Considerable heterogeneity was found in the relationship between the loan rate and its determinants. Specifically, a determinant that is beneficial for the bank loan rate, on average, as revealed by the OLS method may become unimportant or even detrimental for firms located at extremely high or low loan rate quantiles. By revealing extreme heterogeneity in the relationship between the loan rate and some of its determinants, the authors potentially explain two conflicting findings in prior literature.

The conventional OLS method masks the heterogeneity in the relationship between the bank loan interest rate and its determinants. Quantile regression can be used to supplement the OLS estimates to gain a more detailed and complete picture of the relationship between the dependent variable and explanatory variables.

Extant research posits that mergers and acquisition (M&As) do not create value. Still many firms adopt expansion strategies such as alliances, joint ventures (JVs), and M&As to grow and enhance their performance. Through performing a meta-analysis on 204 papers that assess the relationship between the three most prevalent expansion strategies formed by firms, alliances, JVs, and M&As and their different substantive and symbolic performance effects, this study contributes in two ways. First, it becomes clear that alliances and M&As enhance a firm’s substantive performance, while no positive performance effect is observed for JVs. In turn, all three expansion strategies boost a firm’s symbolic performance in terms of its legitimacy and status. Second, a distinction between their effects on a firm’s substantive performance in terms of their market-based and accounting-based performance shows that alliances and M&As both positively contribute to a firm’s accounting-based performance, while only the former spurs a firm’s market-based returns. This indicates that M&As have more long-term accounting-based performance effects compared to alliances and JVs, which suggests that in the long-term firms do best by expanding through M&As.

Financial analysts act as crucial conduits of information between firms and stakeholders. However, comparatively little is known about how these information intermediaries evaluate the believability and importance of corporate disclosures. We argue that a firm’s level of managerial discretion, or latitude of executive action, acts as a cue for financial analysts, which helps them interpret and respond to voluntary management earnings forecasts. Our study provides strong, robust evidence that financial analysts find management forecasts significantly less believable in low-discretion than in high-discretion environments, and therefore tend to be much less responsive to these forecasts. We also show that managerial discretion is especially impactful on analysts’ responses in those circumstances where analysts are typically most uncertain about how to interpret management forecasts.

The purpose of this paper is to examine the impact of board gender diversity on bond terms and bondholders’ returns.

The authors perform pooled OLS regression, simultaneous regressions and propensity score matching to a panel data set of bond data for 319 US firms from 2007 to 2014.

The authors find that firms with gender-diverse boards have lower yields, higher ratings, larger issue size and shorter maturity. They also find that bondholders require fewer returns from firms with gender-diverse boards. However, the effect is more pronounced when women, constitutes at least 29.67 percent of the board.

This analysis supplements the findings that board gender diversity is essential for bondholders. It shows that bondholders should look at board gender diversity as a criterion to invest because bonds issued by firms with gender-diverse board have less risk. For practitioners, this study shows that more women participation on boards leads to a reduction in borrowing costs.

Organizational learning in inter‐firm exchange relationships poses a double‐edged sword. On one hand, inter‐firm learning is a desirable extension of organizational learning, developing a firm’s knowledge base, and providing fresh insights into strategies, markets, and relationships. On the other hand, inter‐firm learning can lead to unintended and undesirable skills transfer, resulting in the potential dilution of competitive advantage. This risk can be exacerbated by disparities in inter‐firm learning, resulting in uneven distribution of benefits and risks in the collaborative relationship. This paper articulates these two different views on inter‐firm learning, and second, develops a framework for the role of governance in regulating knowledge transfer. In particular, appropriate governance mechanisms must be crafted which match the learning intentions of the partners, the type of knowledge sought, and the designed duration for the collaboration, so as to maximize the benefits of learning while minimizing the risks. Implications for strategy and future research are offered.

An extensive, integrated review of literature precedes a new typology of alliances based on participating firms’ relative position in the supply chain (scale or link) and the nature of their cooperation (equity or non‐equity). This typology helps to distinguish among a bewildering array of alliances and to explicate alliance motivations and performance on impact of e‐business technological innovations. Theoretical and managerial implications follow.

Collaborative forms range from co-located teams engaged in short term local projects, to international joint ventures, to worldwide networks of organizations and citizens linked together to generate global social change. In order to discern patterns that transcend the breadth of forms (including virtual), a new term is introduced that encompasses the entire spectrum: collaborative entity (CE). The diverse and far-ranging CE literature is then integrated into the Collaborative Capacity (CC) Framework. That framework is comprised of ten broad constructs and their interrelationships that, when considered together, capture fundamental aspects of all CEs. The CC Framework provides a bridge-building language to help facilitate inter-disciplinary, multi-dimensional dialogue, research, and perspectives on fostering collaborative capacity.

The question is whether debt market investors see through managers' attempts to hide their pension obligations. The authors establish a robust relation between understated pension liabilities and corporate bond yield spreads after controlling for factors that have been previously identified as having a significant impact on firms' cost of borrowing. The results support the idea that bond market investors are not being misled by the use of high pension liability discount rates by some companies to lower their reported pension obligations. For a small fraction of debt issuers, the reported pension liabilities are larger than the pension liabilities valued at the stipulated interest rate benchmarks. For these issuers with overstated pension liabilities, bond investors adjust their borrowing costs downward.

The authors investigate the relation between corporate bond yield spreads and understated pension liabilities relative to long-term Treasury and high-grade corporate bond yields. They aim to answer two questions. First, what are the sizes of over or understated pension liabilities relative to guideline benchmarks? Second, do debt market investors see through the potential management manipulation of pension discount rates? The authors find that firms with large understated pension liabilities face higher marginal borrowing costs after taking into account issue-specific features, firm characteristics, macroeconomic conditions and other pension information such as funded status and mandatory contributions.

The average understated projected benefit obligations (PBOs) are understated by $394.3 and $335.6, equivalent to 3.5 and 3.0% of the beginning of the fiscal year market value, respectively. The average understated accumulated benefit obligations (ABOs) are understated by $359.3 and $305.3 million, equivalent to 3.1 and 2.6%, of the beginning of the fiscal year market value, respectively. Relative to AA-grade corporate bond yields, the average difference between firm pension discount rates and benchmark yields becomes much smaller; the percentage of firm pension discount rates higher than benchmark yields is also much smaller. As a result, understated pension liabilities become negligible. The authors establish a robust relation between corporate bond yield spreads and measures of understated pension liabilities after controlling for issue-specific features, firm characteristics, other pension information (funded status and mandatory contributions), macroeconomic conditions, calendar effects and industry effects.

S&P Rating Services recognizes the issue that there is considerably more variability in discount rate assumptions among companies than in workforce demographics or the interest rate environment in which firms operate (Standard and Poor's, 2006). S&P also indicates that it would be desirable to normalize different discount rate assumptions but acknowledges that it is difficult to do so. In practice, S&P Rating Services conducts periodic surveys to see whether firms' assumed discount rates conform to the normal standard. The paper makes an initial attempt to quantify the size of understated pension liabilities and their impact on corporate bond yield spreads. This approach can be extended to study firms' costs of equity capital, the pricing of seasoned equity offerings and the pricing of merger and acquisition transaction deals, among other questions.