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This study focuses on intra-industry determinants of acquisition performance. Seven years of printed research on acquisitions from 10 top-tier business journals is categorized on the basis of R&D intensity – that is, per industry classification: high-, medium-, and low-technology – and determinants of acquisition performance. Instead of broadly generalizing acquisition performance determinants across industries, this study focuses on how the practice of enhancing acquisition performance is different per industry classification and what acquiring firms need to take into account.

After three decades of reform and opening up, China’s economy has experienced huge changes. Against the background of economic globalization, foreign direct investment (FDI) plays an important role in China’s economy. China has become one of the world’s largest FDI inflow countries, which has had an important impact on its economic development. FDI has preferred the industrial sector, which also has serious environmental pollution. This study will consider vertical and horizontal FDI location choice theory and conduct theoretical analysis concerning the FDI location choice within the industrial sectors, as well as empirical analysis to test the distribution of FDI in pollution-intense industries. Furthermore, the “Catalog of Industries for Foreign Investment” is one of China’s important industrial policies to guide foreign investment. Since being implemented in 1995, it has made five adjustments. The analysis of the distribution of FDI in the polluting industries and the impact of the change process will provide advice instructive for the government to amend the catalog.

Worker classification continues to be a highly litigated area of taxation. That is, the status of a worker as an employee or independent contractor remains a topic closely scrutinized by the Internal Revenue Service. This study examines factors that the judiciary deems relevant in ruling whether a worker is an employee or independent contractor. A backward stepwise logistic regression model is implemented to categorize the factors that best predict the court’s decision on whether a worker is either an employee or independent contractor pursuant to the factors in Revenue Ruling 87-41 (1987-1 CB 296), judge gender, and political affiliation. The results indicate three factors (supervision/instructions, continuing relationship, and the right to discharge) are capable of accurately predicting 93 percent of the decisions made by the US Tax Court. Other findings support notable statistical differences between male and female judges rendering decisions and reaching conclusions. Also, there is a statistically significant difference based on the type of industry. Political affiliation appears to have no significant impact on judicial rulings.

All firms operating in the global economy are exposed to a multitude of risks including financial crisis, cyberattack, social instability, governance failure, extreme weather events, etc. As a consequence, international organizations assume many (new and evolving) exposures that must be addressed, where some firms are able to adjust and thrive against these adverse odds, whereas many others fail. It appears like some (a few) firms are able to repeatedly outperform the market, where a great many of them struggle, and quite a few register negative returns every year. As a consequence, the authors typically observe leptokurtic negatively skewed distributions of financial returns with extreme negative tails of poor performing firms, where the performance data fall way beyond the requirements of a normal distribution. The authors investigate this phenomenon based on a comprehensive dataset of European firms retrieved from Compustat Global for the 25-year period 1995–2019. The analysis shows that there is indeed a consistent pattern of many underperforming firms across different industry classifications and time intervals and a few outperformers. This provides evidence of a regularly observed phenomenon that often is overlooked in mainstream management studies. The results have implications for academic research that often relies on assumptions of data normality in statistical analysis and for corporate management that has to deal with a risk-prone business environment.

This paper analyzes causes of the low self-employment rate among Mexican-Americans by studying self-employment entry and exits utilizing panel data from the Survey of Income and Program Participation (SIPP). Our results indicate that differences in education and financial wealth are important factors in explaining differences in entrepreneurship across groups. Importantly, we analyze self-employment by recognizing heterogeneity in business ownership across industries and show that a classification of firms by human and financial capital intensiveness, or entry barriers, is effective in explaining differences in entrepreneurship across ethnic groups.

Institutional pluralism is an intriguing phenomenon for institutional scholars. How the balance among logics evolves within a field and what kind of trajectories a set of logics may experience over a long-term period remain unclear. In particular, extant literature tends too often to downplay institutional complexity by focusing on two dominant logics, and to ignore modes of interaction among logics other than competition. In order to address these issues, we offer a novel methodology for measuring institutional complexity – multiple institutional logics and their change. In particular, we highlight the utility of descendent hierarchical classification models, and demonstrate their relevance by analyzing articles published in a leading French trade journal over more than 100 years to study logics related to workplace in the construction industry. We identify a pool of six field-structuring logics over a period of one century; they reveal the composite nature of such logics, which we characterize as combining several higher institutional orders. Additionally, our results bring to light new mechanisms that can explain the composition of institutional logics.

Institutional pluralism is an intriguing phenomenon for institutional scholars. How the balance among logics evolves within a field and what kind of trajectories a set of logics may experience over a long-term period remain unclear. In particular, extant literature tends too often to downplay institutional complexity by focusing on two dominant logics, and to ignore modes of interaction among logics other than competition. In order to address these issues, we offer a novel methodology for measuring institutional complexity – multiple institutional logics and their change. In particular, we highlight the utility of descendent hierarchical classification models, and demonstrate their relevance by analyzing articles published in a leading French trade journal over more than 100 years to study logics related to workplace in the construction industry. We identify a pool of six field-structuring logics over a period of one century; they reveal the composite nature of such logics, which we characterize as combining several higher institutional orders. Additionally, our results bring to light new mechanisms that can explain the composition of institutional logics.

This paper examines factors that are associated with the level of a firm's environmental disclosure in the footnotes of its annual report financial statements and its 10-K report filed with the Securities and Exchange Commission (SEC). The levels of environmental disclosure are measured using the Wiseman scale (Wiseman, 1982). An N-chotomous probit analysis is utilized where the level of disclosure is the dependent variable, and the independent variables are firm characteristics including: (1) institutional blockholder stock ownership, (2) amount of foreign concentration, (3) earnings volatility, (4) profitability, (5) leverage, (6) future need for debt financing, (7) firm size, and (8) industry membership.

The results indicate that higher foreign concentration, and to some extent, higher earnings volatility are associated with less environmental disclosure. These results provide evidence that firms with higher foreign concentration are more reluctant to disclose environmental information because they are under higher scrutiny from other countries and the international community. Additionally, it is probable that firms with a more volatile earnings process are less willing to disclose potential environmental costs and obligations because these additional expenditures can have an especially adverse effect during low-earnings periods.

Purpose – The purpose of this study is to investigate whether a firm’s cost structure (specifically, its cost stickiness) is associated with environmental, social, and governance (ESG) sustainability factors of performance and disclosure.

Methodology/approach – This study uses MCSI Research KLD Stats (KLD) and Bloomberg databases for the 13-year period from 2003 to 2015 in constructing ESG performance and disclosure variables, respectively. The authors adopt the general cost stickiness models from Anderson, Banker, and Janakiraman (2003) and Banker, Basu, Byzalov, and Chen (2016) to perform the analysis.

Findings – The authors find that a firm’s level of cost stickiness is positively associated with certain sticky corporate social responsibility (CSR)/ESG activities (both overall and when separately classified as strengths or concerns) but not with other nonsticky CSR activities. The authors also show that the association between cost stickiness and ESG disclosure is incrementally stronger for firms with CSR activities classified as sticky. Furthermore, the authors provide evidence that ESG disclosure is greater when both cost stickiness and the degree of sticky CSR activities increase. The authors show that when cost stickiness is high and CSR activities are sticky, management has incentives to increase CSR/ESG sustainability disclosure to decrease information asymmetry.

Originality/value – The findings present new evidence to understand how management integrates cost management strategies with various dimensions of sustainability performance decisions and show that not all ESG activities are equally effective when it comes to cost stickiness. The authors also demonstrate that increased sustainability disclosure helps reduce information asymmetry incrementally more when both costs are sticky and CSR activities are sticky.