Search results

Uncertainties caused by political risks can drastically affect global supply chains. However, the supply chain management literature has thus far developed rather limited knowledge on firms' perception of and reactions to increased political risks. This study has two main purposes: to explore the relationship between extant risk exposure and perceived firm-specific political risk and to understand the impact of firm-specific political risk on firms' vertical integration and diversification strategies.

The authors developed a unique dataset for testing our hypotheses. Specifically, the authors sampled manufacturers (SIC20-39) listed in the United States from 2002 to 2019. The authors collected financial and diversification data from Compustat, vertical integration data from the Frésard-Hoberg-Phillips Vertical Relatedness Data Library and political risk data from the Economic Policy Uncertainty database. This data collection process yielded 1,287 firms (8,329 observations) with available data for analysis.

A two-way fixed-effect regression analysis of panel data revealed that firms tend to be more sensitive to political risk when faced with income stream uncertainty or strategic risk. By contrast, exposure to stock returns uncertainty does not significantly influence firms' sensitivity toward political risk. Moreover, firm-specific political risk is positively associated with vertical integration and product diversification. However, firm-specific political risk does not result in higher levels of geographical diversification.

This study joins the literature that systematically explores the antecedents and implications of firm-specific political risk, thus broadening the scope of supply chain risk management.

This study aims to provide a systematic and comprehensive examination of the underlying factors enabling the emergence of unicorn firms. By addressing this research gap and offering an integrative framework, it seeks to support future research efforts in understanding this phenomenon and contribute to the academic debate around it.

This study employs a systematic literature review (SLR) approach and thematic analysis of articles retrieved from Scopus and Web of Science databases.

The study sheds light on internal characteristics, ranging from the entrepreneurial (human capital and knowledge) to firm-specific level (business model, corporate governance, resources) and external ones related to the funding factors (financial patterns, venture capitalists, firm evaluation) and the ecosystem (entrepreneurial and technology) around the phenomenon of unicorn firms.

This is the first systematic literature review on unicorns that offers insights into the internal and external factors driving the emergence of such firms, contributes to shed light on the main criticalities that blur their understanding and presents a research agenda for developing this field of research.

This study investigates the effect of corporate governance mechanisms and country-level factors on the extent of Internet Financial Reporting (IFR). We used a sample of 106 listed firms from five African countries. A financial reporting disclosure index was used to compute the aggregate IFR scores, which are made up of two components: content and presentation. Our results indicate that IFR relates to board size, firm size, country-level governance, economic development and index return. These results evidence the predominance of country-level factors over firm-specific factors in explaining the extent of IFR in Africa. It also shows that corporate governance mechanisms via board practices are insufficient to explain IFR in Africa. By further extending our analysis into the two components of IFR, we find that factors affecting the content and presentation dimensions are different. This study is among the first to investigate the extent of IFR in several African countries and adds to the existing evidence that has mainly focussed on firm-specific factors.

Emerging technologies and the concept of Industry 4.0 are on the rise. Thus, available solutions for SCM get more complex and dynamic. Technology adoption is crucial for organizations competitiveness, but resources are limited. Therefore, this paper aims to gain insights into the successful management of technology pre-adoption in SCM.

In-depth polar case studies of technology pre-adoption initiatives in various industries were collected using an interview-based approach. Subsequently, the paper deploys transcript coding on the data to analyze information within and across the cases. Lastly, utilizing contingency theory, supply chain-specific influencing factors and corresponding management practices were identified.

The research reveals eight contingency dimensions and corresponding variables that influence the design of successful technology pre-adoption in SCM (e.g. complexity and criticality). Moreover, ten response variables were identified, referring to the pre-adoption process or organization. They systemize possible options when conducting technology pre-adoption initiatives.

The paper contributes to research by systemizing potential influencing factors and responses of technology pre-adoption through an explorative, empirical study. The paper is limited by its qualitative approach and the number of case studies conducted.

The results provide supply chain managers a guideline for analyzing potential influences on the technology pre-adoption process and propositions how to manage pre-adoption accordingly.

This research is among the first to provide in-depth insights into technology pre-adoption from an organization's perspective considering supply chain-specific contingencies. Also, it introduces a new perspective on technology selection as a management process.

The purpose of this study is to examine determinants of profitability of non-financial firms listed small- and medium-sized enterprises (SMEs) in the UK from 2012 till 2020. It has been argued that profitability plays a key role in economic development and growth. Despite the important role that SMEs play in developed economies like UK, academic research into SMEs profitability determinants in developed countries is not extensive.

The methodologies used include dynamic panel data estimation techniques. Relationship of nine independent variables with profitability was examined. Two models are created using return on assets (ROA) and return on equity (ROE) as dependent variables. Size, age, efficiency, working capital, liquidity, leverage and volatility of the firm represent firm-specific independent variables. Two macroeconomic variables, namely, gross domestic product and inflation are also used as independent variables. Data obtained from Thomson Reuters Data Stream for 93 listed SMEs companies in the UK from 2012 to 2020. Fixed effects, random effects and generalized method of moments were used in data analysis.

All variables showed significant influence on profitability, except liquidity reflecting insignificant impact on profitability in two regression models conducted for 93 firms under study. Efficiency, liquidity and leverage are the only three independent variables with similar impact on both ROA and ROE.

Identifying determinants of profitability will help stakeholders and corporate executive make sound decisions to ensure sustainability and stability at the firm level. This is particularly important given the key role played by SMEs in economic development and growth. The findings of this study would help direct financial management practices to ensure a favorable sustainable organizational performance.

This study differs from previous studies that focused mainly on developing countries; with limited research conducted on profitability of SMEs in developed economies. To the best of the author’s knowledge, this is the first study to examine factors influencing profitability of SMEs in UK. Previous studies concentrated on service sector like insurance and hotel firms.

This article investigates the determinants of cross-section variation of initial public offerings' (IPOs) first-day returns in a sample of 710 issues across seven emerging markets between 2013 and 2017.

Ordinary least squares regression (OLS) and the semi-parametric quantile regression (QR) technique are employed. QR enables to analyse beyond the explanatory variables' relative mean effect at various points in the endogenous variable distribution. Furthermore, parameter estimates under QR are robust to the existence of outliers and long tails in the data distribution.

Underpricing varies across countries with an average of 78%. According to the OLS results, independent variables explain 26% of the variation of IPOs' first-day returns. Findings show that employing QR is important, given the non-normality of the data and because each quantile is associated with a different effect of explanatory variables.

In addition to firm-specific, market-specific and issue-specific factors, the paper extends IPOs' underpricing literature through studying the impact of country-specific characteristics, largely neglected by literature, on IPO underpricing.

The purpose of this paper is to explore international market development for mature products and practices used in a novel business context.

Taking a qualitative approach, the case study method was chosen to investigate how firms develop markets in relation to a new international business context. Critical international decisions are analysed using a managerial perspective.

The success of international ventures depends on managerial learning and effectiveness. In this paper, the authors argue that decisions about international market development can add significantly to the understanding of how business firms enter and develop markets in novel business contexts. Two case studies show different approaches for meeting challenges in distant markets. Four propositions are developed.

A theoretical contribution of this study is the importance of factors that explain international market development decisions in novel business contexts. The balance between incomplete knowledge and making resource commitments is of central concern to international managers. Some of this is tacit knowledge that a firm achieves and learns during the process of market development and other knowledge can only become available after an actual market entry. A second theoretical contribution of this study is the significance of contextual market knowledge in a novel business context.

Firm-specific factors such as size, profitability, growth, risk and complexity, in addition to agency-related issues determine both auditor selection and firm life-cycle stage. This paper aims to examine whether and how the effect of Big-4 auditors (B4As) on client firms’ audit quality varies across firms’ life-cycle stages.

The sample comprises 1,813 firm-year observations in India’s emerging economy from 2011 to 2020. The Modified Jones model and Jones (signed, unsigned) model are used to compute discretionary accruals/audit quality. The authors use Koh et al.’s (2015) methodology to determine the firm life cycle.

The authors’ key findings show that the client firms employing B4As have superior audit quality than those employing non-Big-4 auditors (NB4As). The authors also show that the life-cycle stage significantly impacts the relationship between B4As and a firm’s audit quality. Furthermore, B4A client firms report superior audit quality vis-à-vis NB4A firms only in the birth- and decline-stages. The audit quality of growth- and mature-stage B4A and NB4A client firms is not significantly different.

Implications for managers include the decision to hire B4As. Given that B4As earn a significant fee premium, managers leading birth- and decline-stage firms should hire B4As, while managers of growth- and mature-stage firms should not.

To the best of the authors’ knowledge, this is the first paper to examine the moderating effect of the firm life-cycle stage on the selection of B4As and their impact on audit quality.

The purpose of this paper is to investigate the effect of share pledging by controlling shareholders on earnings informativeness.

Using a sample of 23,120 firm-year observations from 2003 to 2019 in China, this paper examines how share pledging by controlling shareholders affects earnings informativeness, measured by earnings persistence and earnings response coefficients.

This paper finds that share pledging by controlling shareholders makes earnings less informative. The adverse impacts are more pronounced when share pledging distorts incentives of controlling shareholders to a greater extent and when the signaling of share pledging about a firm’s weak future performance is stronger. Finally, this paper further shows that the 2018 new regulation on share pledging effectively alleviates the negative impacts of share pledging on earnings informativeness.

First, this paper adds to the growing literature on the economic consequence of share pledging by documenting the adverse impacts of share pledging on earnings informativeness. The literature on the economic consequence of share pledging is often mixed, which justifies further research on the impacts of share pledging on earnings informativeness. Second, this paper documents a new signaling channel through which share pledging affects earnings informativeness. Third, the finding of this paper on the 2018 new regulation on share pledging may be interesting to research agencies, such as the Chartered Financial analyst institute and Institutional Shareholder Services institute that recommend tightening regulations on share pledging.

Human capital is acquired not only through formal education (e.g. general skills) but also through training at the workplace. Prior studies have ignored the role of government subsidies explicitly for on-the-job training, which may influence firm training decisions and firm innovation performance. Hence, the authors establish a comprehensive theoretical framework to consider these issues and fill these gaps.

Considering the Chinese manufacturing firms listed in the Shanghai and Shenzhen Stock Exchange from 2010 to 2017, the authors investigate the influence of training investment on innovation performance by illustrating the role of human capital updating in enhancing firm innovation. The authors also explore serval mechanisms on how training investment influences innovation performance.

The authors propose that training investment promotes firm innovation performance, whereas government training subsidies negatively moderate this relationship. The authors also reveal how technicists' involvement and corporate culture mediate the relationship between training investment and innovation performance.

This study provides policy implications for stimulating firm innovation by improving learning and absorption ability, strengthening cultural identity and implementing system norms. Effective policies should be adopted to provide subsidies for on-the-job training of enterprises, particularly for firms with technical executives and firms in diversified life-cycle.

This work contributes to the literature on the role of on-the-job training in promoting firm innovation and reveals the crowding-out effect of subsidies. This study also shows the heterogeneous effects of training investment on firm innovation.