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The purpose of this paper is to empirically investigate how audit quality affects the cost of equity (COE) defined benefit pension risk relation. As an antecedent to these tests, this study first uses implied COE measures and their pension intensity risk predictors to examine the relation between a defined benefit plan (DBP) firm’s implied COE and pension intensity risk. Then, using these measures, the authors provide new evidence on how audit quality affects this relation.

Using panel data over fiscal years 1999–2014, fixed effects models regress dependent variable, implied the COE on controls and proxies that measure pension intensity risk and pension intensity risk conditional on the quality of the audit.

This study documents that audit quality attenuates the positive relation between a sponsoring firm’s COE and pension risk. The authors rationalize these findings by asserting that the positive relation between a sponsoring firm’s COE and pension intensity risk reflects increased financial risk associated with higher pension obligations but the quality of the auditor attenuates this risk. This paper further documents that these findings are robust to a sponsoring firms’ level of financial distress.

A limitation of this research is that the sample is limited to DBPs companies only. Although results of the tests show similar results for controls that are used in other COE-related studies that include DBP and non-DBP firms, the generalizability of the findings may be limited to the extent that the financial characteristics of firms without defined contribution plans differ from the sample.

Results of this study suggest that while pension intensity risk has COE implications, managers may be able to mitigate these effects by managing their plans and utilizing high-quality auditors.

Using implied COE and pension intensity risk measures, this study provides new information on the favorable effect that high-quality audits have on the COE – pension risk relation.

The purpose of this paper is to investigate investors’ perception of corporate social responsibility (CSR) and its risk-mitigating effects on firm-level innovation in Japan from 2006 to 2017. The authors examine the influence of CSR intensity on firm-specific risks, focusing on the risk-moderating effect of CSR on innovation.

The authors conducted a simple slope analysis and panel data regressions with input and output innovation measures and idiosyncratic risk based on an asset-pricing model.

The results demonstrate that CSR intensity not only reduces firm-specific risk directly but also indirectly by negatively moderating the relationship between firm-level innovation and idiosyncratic risk.

Signaling trust to capital markets, CSR engagements in the manufacturing industry are clearly important for innovative firms with active research and development undertakings.

Corporate managers should further expand their efforts to make non-financial disclosures available, considering the interactions between CSR intensity and research and development financial risk.

In the context of Japanese firms, this study demonstrates the interaction between CSR practices and innovation activities from the perspective of long-term management of corporate sustainability.

This research aims to examine the moderating role of the existence of risk management committee between risk-taking behavior and companies’ performance.

Research sample includes 383 manufacturing company-year that listed on the Indonesian Stock Exchange period of 2017–2020. The risk-taking behavior includes the use of leverage, capital intensity, research and development intensity, and earnings uncertainty. The hypothesis test uses company fixed-effect regression.

The result shows that risk management committee moderates the effect of risk-taking behavior on companies’ performance. This research also finds the similar result when risk management committee and risk-taking behavior are examined on the future performance. In the further analysis, the result also finds that the expertise of risk management committee moderates the effect of risk-taking behavior on companies’ performance.

This research contributes to fill the previous gap of risk-taking behavior and companies’ performance by considering the existence of risk management committee to promote oversight role on risk-taking behavior. This research also contributes to give new evidence in Indonesia about the role of risk management committee to improve the benefits or to reduce the costs of risk-taking behavior.

Purpose – The purpose of this chapter is to study how dimensions of entrepreneurial orientation (competitive aggressiveness, proactiveness and risk taking) affect international performance in competitive and technology-intensive international environments.

Methodology/approach – To address the research questions, structural equation modelling is applied to Finnish survey data (N=271).

Findings – Our findings reveal that the dimensions of entrepreneurial orientation are differentially related to international performance, and that their effect is contingent on moderating variables.

Research limitations – One limitation is the use of cross-sectional data as it limits the possibility of drawing strong conclusions from the development of the relationships between the different constructs. Also the fact that the study was conducted in a single-country setting is a limitation.

Practical implications – Results indicate that entrepreneurial behaviour is of importance for international business managers. However, results imply that prior to striving for proactive behaviour, competitive aggressiveness and venturesome risk taking managers should study their international market environments carefully and truly understand the nature of these turbulent markets, as in many occasions strong emphasis on entrepreneurial behaviour did not contribute positively to the international performance indicators, such as increasing sales and profits.

Originality/value of the chapter – Present study extends the works of Zahra and Garvis (2000), Lumpkin and Dess (2001) and Wiklund and Shepherd (2005), for example, by (a) applying entrepreneurial orientation on international business, (b) examining the effects of different dimensions of entrepreneurial orientation on a firm's international performance and (c) extending the research of the role of moderating effects on the relationship between entrepreneurial orientation and firm performance.

Degradable mulch film (DMF) is a potential alternate to polyethylene (PE) mulching. In this regard, the purpose of this paper is to explore the effects and paths of natural disaster shock and risk aversion influencing farmers’ DMF adoption.

This research is conducted by collecting cross-sectional data of corn farmers in Zhangye, China. First, by using the Tobit model, the paper attempts to explore the effects of natural disaster shock and risk aversion influencing farmers’ DMF adoption. Second, IV-Tobit model is applied to deal with endogenous problems between risk aversion and DMF adoption. Additionally, the researchers used a moderating model to analyze feasible paths of natural disaster shock and risk aversion impacting farmers’ DMF adoption.

The outcomes show that natural disaster shock and risk aversion significantly and positively affect farmers’ DMF adoption. Though risk aversion plays a significant moderating effect in influencing farmers’ DMF adoption by natural disaster shock, the moderating effect has a serious disguising effect. By considering the heterogeneity of risk aversion, the paper further confirms that if the intensity of natural disaster shock is increased by one unit, the intensity of MDF adoption by farmers with high-risk aversion also tends to increase by 15.85%.

This study is the pioneer one, which is evaluating the intensity of farmers’ DMF adoption from adoption ratio, investment amount, labor input and adoption time. Additionally, the research provides important guidelines for policymakers to motivate medium and low-risk aversion farmers to adopt DMF.

The macroenvironment constitutes a widely acknowledged source of firms’ risk in international business. A substantial body of research on macroenvironmental risks encapsulates a variety of measurement approaches, antecedents, and managerial consequences. However, a review of established macroenvironmental risk measures reveals that these measures strongly focus on the quality of the macroenvironment, assuming a rather static perspective and mainly excluding dynamic aspects. Building on prior research on macroenvironmental risk as well as on environmental dynamism, we argue that macroenvironmental dynamism – i.e. the frequency, intensity, and predictability of macroenvironmental variation – is a pivotal source of risk in international business, which so far only received limited attention. Moreover, we suggest that macroenvironmental dynamism influences firms’ risk management activities, a measure we use to empirically investigate firm implications of macroenvironmental dynamism. We explore this effect using primary survey data on risk management activities from 158 foreign subsidiaries in six emerging countries and secondary data on the macroeconomic context in these countries. We find evidence that macroenvironmental dynamism, if compared to macroenvironmental quality, exerts a strong influence on firms’ risk management activities. Our findings enhance the understanding of the dynamic nature of macroenvironmental risk in international business as well as provide a concept to more comprehensively measure macroenvironmental dynamism that future research can build upon.

This paper presents a stepwise method for identification and analysis of innovative activities in production systems. The purpose of this paper is to provide a structure in order to propose the risk paradigms and factors corresponding to the innovative activities and evaluation of the impact of these activities on innovation decisions and investment.

The model used here is an analytical approach that evaluates the impact of innovative activities on innovation decision and investment using product opportunity gap (POG) concept. This framework is applied for innovative activities of Asian industrial field, and the risk of innovative activities is calculated by weighted risk analysis method. In this method, the risk weights and intensities are estimated by the average of experts’ opinions in interviews.

This implementation discovered some useful information being used by investors, innovators and policymakers for taking the best strategies and decisions in various innovation domains such as innovation management, risk management and innovation policy. The results of this study show that the product innovation is the most popular category of innovation that has occurred in Asian manufacturing industries, and the product innovation, marketing innovation and organizational innovation have the most influence on technology, economic and social changes intensity, respectively.

This study analyzed the risk of innovative activities after their occurrence and because of different views of experts, there were diverse and sometimes contradictory analyses of innovative activities risk.

This paper links two separate and important sectors of innovation domain: innovation risk and innovation decision making and investment. POG plays the role of a bridge to connect the two mentioned sectors and shows how innovation causes the technological, economic and social changes. This paper also provides useful and practical information for innovation investors and decision makers to take the best decisions and to avoid the probable failures and losses.

Securing a job in an industry is a boon for most of the slum dwellers. When the primary earner of a slum household suffers from occupational illness and injuries, without insurance coverage or partial coverage of insurance, this boon may become a curse in the long run. The occupational security and safety along with the fact that whether such workers are insured is an important aspect and has a close link with the expenditure on illness. Thus, the accessibility to employees’ insurance in the risky industrial occupation, particularly for slum dwellers, is crucial to protect them from falling into poverty. Studies on occupational health of the poor workers are either limited to informal sectors or remain industry specific and the analysis of their accessibility to job insurance is rarely done. The paper aims to discuss these issues.

The research questions are framed to analyze the types of insurance accessible to workers across various industries; the accessibility to insurance, however, varying across risk intensities of various industries; and the determinants of insurance accessibility of the industrial workers living in slums. The determinants of accessibility of job insurance are analyzed with a binary Logit model. A multi-stage random sampling technique is used to collect the primary data from 320 industrial workers living in the slums of the Indian state of West Bengal.

The industrial workers, irrespective of the types of industries, are exposed to a high-risk category without proper job insurance. The higher industrial income is not adequate to prevent financial hardships. Access to insurance is more likely for the respondents with job tenure of more than two years and less likely for the workers who are working for more than eight hours per day.

This study provides a significant insight to the policymakers concerning health dynamics of the slum dwellers, which can improve their livelihood.

The analysis of the industry-specific risk intensities with accessibility to insurance contributes to understanding the coverage of the insurance scheme for the workers in slums.

The purpose of this study is to explain the interrelationships between the elements of strategic thinking, technological change and strategic risks. The main objective of this research is to identify the hierarchy for the elements of thinking, technological change and strategic risk and also to identify the driving powers of these elements.

The methodology used in this study is modified total interpretive structural modelling and MICMAC analysis which gives the interrelationships and also the driving powers of the elements by analysing the relationships between the elements from the existing literature. This method helps us in answering/understanding the “what”, “how” and “why” of the research. Modified total Interpretive structural modeling is considered in this study, which helps in doing both the paired comparisons and transitivity checks simultaneously. A digraph is constructed at the end of the analysis, which shows the links between the elements, and a driver dependence matrix is constructed, which shows the driving powers.

This study gives an understanding of the role of the elements, the relationships between them and the hierarchy of addressing these elements, and also the driving and dependence power. Findings of this research give us an understanding of how strategic thinking/technological change/strategic drives the performance of the firm.

This study is conducted with the help of existing literature; this can be further extended by considering the expert opinion.

The model explains the direct and transitive links of the elements and the strength of the relation between them, which helps the researchers and the practitioners to understand the driving power and importance of these constructs. It also helps us to understand the role of these elements and, if implemented in an organisation, which elements need to be prioritised for enhancing the performance of the firm.

Research done in the past has individually analysed the elements effecting strategic thinking; this study identifies the relationships between the elements of all three constructs and helps in understanding the levels of hierarchy.

This paper aims to provide new perspectives on the integration of East Asian stock markets and the dynamic volatility transmission to the Bitcoin market utilising daily data from 2014 to 2020.

The authors undertake comprehensive analyses of the dependency dynamics, systemic risk and volatility spillover between major East Asian stock and Bitcoin markets. The authors employ a vine-copula-CoVaR framework and a VAR-BEKK-GARCH method with a Wald test.

(a) With exception of KS11 and N225; HSI and SSE; HSI and KS11, which have moderate dependence, dependencies among other markets are low. In terms of tail risk, the upper tail risk is more significant in capturing strong common variation. (b) Two-way and asymmetric risk spillover effects exist in all markets. The Hong Kong and Japanese stock markets have significant risk spillovers to other markets, and quite notably, the Chinese stock market is the largest recipient of systemic risk. However, the authors observe a more significant risk spillover from the Chinese stock market to the Bitcoin market. (c) The VAR-BEKK-GARCH results confirm that the Korean market is a significant emitter of volatility spillovers. The Bitcoin market does provide diversification benefits. Interestingly, the Chinese stock market has an intriguing relationship with Bitcoin. (d) An increase in spillovers in East Asia boosts spillovers to Bitcoin, but there is no intuitive effect of Bitcoin spillovers on East Asian spillovers.

For the first time, the authors examine the dynamic linkage between Bitcoin and the major East Asian stock markets.