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1 – 6 of 6Cathy Zishang Liu, Xiaoyan Sharon Hu and Kenneth J. Reichelt
This paper empirically examines whether the order of liability and preferred stock accounts presented on the balance sheet is consistent with how the stock market values their…
Abstract
Purpose
This paper empirically examines whether the order of liability and preferred stock accounts presented on the balance sheet is consistent with how the stock market values their riskiness.
Design/methodology/approach
This paper measures a firm’s riskiness with idiosyncratic risk and employs the first-difference design to test the relation between idiosyncratic risk and the order of current liabilities, noncurrent liabilities and preferred stock, respectively. Further, the paper tests whether operating liabilities are viewed as riskier than financial liabilities. Finally, the authors partition their sample based on the degree of financial distress and investigate whether the results differ between the two subsamples.
Findings
The paper finds that current liabilities are viewed as riskier than noncurrent liabilities and preferred stock is viewed as less risky than current and noncurrent liabilities, consistent with the ordering on the balance sheet. Further, the paper finds that operating liabilities are viewed as riskier than financial liabilities. Finally, the authors find that total liabilities and preferred stock (redeemable and convertible classes) are viewed as riskier for distressed firms than for nondistressed firms.
Originality/value
The authors thoroughly investigate the riskiness of several classes of claims and document that the classification of liabilities and preferred stock classes is relevant to common stockholders for assessing their associated risk.
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ChangSeob Yeo and Vafa Saboori-Deilami
The purpose of this study is to theoretically clarify under which circumstances MNCs should outsource the innovation function. In the globalization era, multinational companies…
Abstract
Purpose
The purpose of this study is to theoretically clarify under which circumstances MNCs should outsource the innovation function. In the globalization era, multinational companies (MNCs) face the challenge of making a strategic decision. They ought to adjudicate upon outsourcing the research and development, i.e. innovation function and bearing the risks of it, or keeping innovation function in house and paying the price of this decision. This decision becomes more crucial when the host country has dissimilar characteristic and high uncertainty compared to the home country.
Design/methodology/approach
This study is among the very first studies that evaluate the issue of outsourcing innovation for MNCs from a transaction cost economics (TCE) theoretical perspective. By setting forward propositions that serve as a guideline for conditions in which MNCs should outsource innovation, this paper contributes to innovation, new product development, global business and, last but not least, to the TCE literature. This study also provides managerial implications and avenues of future research for academicians.
Findings
This study shows that heterogeneity between the home and host country affects the autonomy of the innovation at the host country; this autonomy in turn leads to higher transaction cost, and finally, transaction cost is the main determinant of the decision on whether to outsource the innovation.
Originality/value
This study fills this gap by looking at the problem of outsourcing innovation from a TCE theoretical perspective and, based on an extensive literature review, puts forward a set of propositions that clarify under which circumstances MNCs should outsource the innovation function.
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Tatiana Mazza, Stefano Azzali and Andrey Simonov
This study aims to examine whether national industry expertise in Italy is more dominant than local expertise. Prior studies from Australia, USA and UK show that audit fees for…
Abstract
Purpose
This study aims to examine whether national industry expertise in Italy is more dominant than local expertise. Prior studies from Australia, USA and UK show that audit fees for industry experts are priced at a higher premium at the local level than the national level. These countries have voluntary audit firm rotation, while Italy has mandatory audit firm rotation (MAFR). The authors predict that Italy has a stronger national than local level of industry expertise, to better retain and transfer industry expertise.
Design/methodology/approach
The authors compare audit fee premiums of national industry experts to local levels, using quantitative (multivariate tests) and qualitative (interviews) methodology.
Findings
Using hand-collected audit fees, the authors find that the audit fee premium for industry expertise is greater at the national level than the local level. The authors find corroborating results with audit hours. To provide further support, the authors conduct analysis for a neighboring country that does not have audit firm rotation. Using hand-collected data from Germany, the authors find that audit fee premiums from national industry expertise are no different from local industry expertise.
Originality/value
The present study study has theoretical and practical implications, for European Union countries, which recently adopted MAFR and for countries considering adoption in the future.
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Scholars and practitioners increasingly recognize data as an important source of business opportunities, but research on the effect on small and medium-sized enterprises (SMEs) is…
Abstract
Purpose
Scholars and practitioners increasingly recognize data as an important source of business opportunities, but research on the effect on small and medium-sized enterprises (SMEs) is limited. This paper empirically examines the complementary impact of SMEs' data capability and supply chain capability (SCC) and further tests the mediation effect of SCC between data capability and operational performance. The mediated effect of data capability is also moderated by competition.
Design/methodology/approach
This paper analyzes longitudinal data collected from 122 manufacturing SMEs in Finland. Hypotheses were tested by using structural equation modeling (SEM).
Findings
The results show that to benefit from the data capability, SMEs require a certain level of SCC to extract the value from the SMEs' data capability and support operational performance. Additionally, competition affects how SMEs benefit from data capability, as competitor turbulence moderates the complementary effect of data capability and SCC on operational performance.
Originality/value
This is one of the first studies examining the longitudinal effect of SMEs' data and SCC on operational performance in the current competitive environment.
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