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The purpose of this study is to explore whether pension plan reporting readability affects earnings volatility. Moreover, as SFAS 158 requires firms to fully recognize their funded status on the balance sheet, the firms’ pension liabilities (inside debts) and financing ability have the corresponding change. This study further investigates whether pension plan reporting readability affects earnings volatility from the SFAS 158 and funded status perspectives.

This study follows Li (2008), Lehavy et al. (2011) and Rennekamp (2012) to use the FOG and SMOG variables as the readability proxies and investigates whether pension plan reporting readability affects earnings volatility from the perspectives of inside debts and SFAS 158 by using a sample of 3,077 American firms from the year 2006 to 2009.

Empirical results of this study show that firms with low readability of pension plan reporting have high earnings volatility, revealing that less readable pension plan reporting increases the assessed variance of a firm’s inside debts, financing flexibility, investment ability and therefore profitability. In addition, the implement of SFAS 158 enhances the effect of pension plan reporting readability on earnings volatility. Moreover, the authors also find that the funded status plays a moderating role for the effect of pension plan reporting readability on earnings volatility. Finally, the results are robust to endogeneity issue.

Earnings stability measures how consistently earnings have been generated over time, and its importance has been acknowledged by most firms. For example, prior literature has documented that manipulating financial reporting to smooth earnings is becoming a business common practice (Burgstahler et al., 2006; Liu and Espahbodi, 2014). The empirical results suggest that pension plan reporting readability is a significant determinant of earnings volatility.

As a practical implication, this study points out that manipulations of the pension reporting readability are not costless. It incurs the costs of earnings instability.

This study indicates that the issuance of SFAS 158 makes firms more likely to engage in pension plan readability manipulation. As a result, it has policy implication that the regulator should consider how the policy change alters the firm financial reporting behavior.

The empirical results suggest that firms may be more likely to engage in obfuscating pension plan disclosure after FASB’s issuance of SFAS 158. This would further increase outside investors’ assessed variance for inside debts and earnings volatilities. When policymakers require firms to recognize their funded status in statement of financial position, they should consider the costs or benefits that the firm manager face and, therefore, how this policy change alter the firm financial reporting behavior.

Mounting fiscal constraints and increasing complexity of public services have led governments to search for alternative service delivery mechanisms. The public–private partnership (PPP) is one type of service arrangement in which the public and private sectors enter into a long-term cooperative relationship for the purpose of delivering a public good or service. Despite increasing private sector participation in developing nations, there is a need for more systematic assessment of PPPs in such countries. The purpose of this paper is to explore the factors that affect the adoption and implementation of projects in the context of developing countries.

A multiple case holistic design is employed to analyze 19 select projects across several developing countries to identify and pool clusters of variables that facilitate or impede PPPs.

The results indicate five broad categories of political, economic, legislative, financial and management requisites.

A limitation of this research is that the cases were not selected at random. However, the projects are spread across several areas such as public health, public utilities, public works, transportation and water/wastewater infrastructure in different countries. This allows the authors to examine how the common factors apply across different contextual settings.

This paper seeks to contribute to the literature by examining several developing countries to identify and pool clusters of variables that facilitate or impede the effective implementation of PPP projects in the context of such regions.

Cargo loss has been a major issue in logistics management. However, few studies have tackled the issue of cargo loss severity via business analytics. Hence, the purpose of this paper is to provide guidance about how to retrieve valuable information from logistics data and to develop cargo loss mitigation strategies for logistics risk management.

This study proposes a research design of business analytics to scrutinize the causes of cargo loss severity.

The empirical results of the decision tree analytics reveal that transit types, product categories, and shipping destinations are key factors behind cargo loss severity. Furthermore, strategies for cargo loss prevention were developed.

The proposed framework of cargo loss analytics provides a research foundation for logistics risk management.

Companies with logistics data can utilize the proposed business analytics to identify cargo loss factors, while companies without logistics data can employ the proposed cargo loss mitigation strategies in their logistics systems.

This pioneer empirical study scrutinizes the critical cargo loss issues of cargo damage, cargo theft, and cargo liability insurance through exploiting real cargo loss data.