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The authors analyze the association between the functional background of the compensation committee chair and CEO compensation. The analysis is motivated by the continuing debate about the reasonableness of executive pay patterns and the growing emphasis on the role of compensation committees.

The authors define three expert categories—accounting, finance, and generalist—and collect data on the compensation committee (CC) chairs of the S&P 500 firms from 2008 to 2018. The authors run an ordinary least square model and regress CEO total and cash compensation on the three expert categories.

The authors find that firms in which the CC chair has expertise in accounting, finance, and general business favor performance measures that are more aligned with accounting, finance, and general business, respectively. There is little evidence that CC chairs who are CEOs of other firms endorse more generous pay for the host CEO; the authors find some evidence that CC chairs tenure relative to the host CEO's is negatively associated with the level of the CEO's pay.

This study suggests that firms and regulators should consider the background of the compensation committee chair to understand the variations in top executive.

Companies desiring to link executive compensation to particular areas of strategy must also consider matching the functional background of the compensation committee chair with the target strategy areas. From regulatory standpoint, requiring compensation committees to operate independent of inside directors can reduce attempts by inside directors to skim the process, but a failure to also consider the impact of compensation committees' discretion over the pay-setting process can distort the executives' pay-performance relation.

This is the first study to examine the effects of the functional background of the compensation committee chair on CEO compensation.

This study aims to investigate the bright and dark sides of environmental, social and governance (ESG) during the COVID-19 pandemic, including both the outbreak and recovery periods, for the Chinese hospitality industry.

Using panel data of 564 firm-quarter observations from 2018 to 2020, the authors adopt fixed-effects regression estimation with standard errors clustered at the firm level. To address potential endogeneity concerns, the authors also use the two-stage least squares estimator with instrumental variables.

The results suggest that ESG plays different roles in market- and accounting-based performance during the COVID-19 outbreak and recovery periods. Specifically, ESG practices show a bright side as a reputation builder to mitigate the negative pandemic impact on market-based performance, whereas the dark side of ESG practices consumes firm resources to aggravate the negative pandemic impact on accounting-based performance during the coronavirus outbreak. These results also suggest hospitality companies benefit bountifully from ESG practices during the COVID-19 recovery.

ESG plays a vital role for hospitality firms by providing insurance-like protection during and after the COVID-19 outbreak. Additionally, hospitality firms should evaluate their capability to adapt resource-consuming ESG practices.

Existing hospitality COVID-19 studies have investigated the effect of ESG on firm performance within a short period with mixed results. This study extends the literature by showing the different effects of ESG practices on market- and accounting-based performance during the COVID-19 outbreak and recovery periods.

Manufacturers increasingly resort to digital transformation to shape their competitiveness in the digital economy era, while supply chain (SC) collaborative innovation helps them cope with market uncertainties. However, whether and how digital transformation can facilitate SC collaborative innovation remain unclear. To address this gap, we aims to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.

We use partial least squares-structural equation modelling (PLS-SEM) with a sample of 210 Chinese manufacturers to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.

The results show that digital strategy and capability positively impact SC collaborative process and product innovation, which enhances market performance. In addition, SC collaborative innovation mediates the relationship between digital transformation and market performance.

This study contributes to the literature by identifying how digital transformation drives SC collaborative innovation towards improving market performance and providing practical guidance for enterprises in promoting digital transformation and SC collaborative innovation.

Big data marketing analytics (BDMA) has been discovered to be a key contributing factor to developing necessary marketing capabilities. This research aims to investigate the impact of the technology and information quality of BDMA on the critical marketing capabilities by differentiating between firms with low and high perceived market performance.

The responses were collected from marketing professionals familiar with BDMA in North America (N = 236). The analysis was done with partial least squares-structural equation modelling (PLS-SEM).

The results indicated positive and significant relationships between the information and technology quality as exogenous constructs and the endogenous constructs of the marketing capabilities of marketing planning, implementation and customer relationship management (CRM) with mainly moderate effect sizes. Differences in the path coefficients in the structural model were detected between firms with low and high perceived market performance.

This research indicates the critical role of technology and information quality in developing marketing capabilities. The study discovered heterogeneity in the sample population when using the low and high perceived market performance as the source of potential heterogeneity, the presence of which would likely cause a threat to the validity of the results in case heterogeneity is not considered. Thus, this research builds on previous research by considering this issue.

This study aims to study the impact of corporate governance (CG) versus ethical investment on the firm performance. It takes into account the firms of Bangladesh, India, and Pakistan for the purpose of the study. A composite variable of CG index and environmental, social, and governance (ESG) index is used to test the impact on the firm performance. Separate country wise and overall analysis is obtained. Regression analysis is used to obtain the results. Two measures of performance are used, one is return on assets (ROA) and other is Tobin Q. The findings of the study reveal that there is an impact of corporate governance index (CGI) on firm performance (overall and country wise) whereas ethical investment (EI) has an impact on firm performance when tested overall and no impact when checked for country wise results. The results further show that on country level, increase in CG measures may lead to positive results, but at the macro level, it may lower the performance. On the other hand, at the micro level, ethical finance may not show its impact; however, at the macro level, it has an impact. The study has implications for the investors and policymakers.

This study investigates the relationship between board gender diversity (BGD) and the time to Initial Public Offering (IPO), which stands as an entrepreneurially risky choice, particularly challenging in family firms. We also investigate the moderating role of family ownership dispersion (FOD).

We draw on an integrated theoretical framework bringing together the upper echelons theory and the socio-emotional wealth (SEW) perspective and on hand-collected data on a sample of Italian family IPOs that occurred in the period 2000–2020. We employ ordinary least squares (OLS) regression and alternative model estimations to test our hypotheses.

BGD positively affects the time to IPO, thus, it increases the time required to go public. FOD negatively moderates this relationship. Our findings remain robust with different measures for BGD, FOD, and family business definition as well as with different econometric models.

The article develops literature on family firms and IPO and it enriches the academic debate about gender and IPOs in family firms. It adds to studies addressing the determinants of the time to IPO by incorporating gender diversity and the FOD into the discussion. Finally, it contributes to research on women and outcomes in family firms.

Different studies have been conducted on the relationship between technological capability and firm performance. These studies obtain different values for the relationship, known as heterogeneous results. The purpose of this paper is to analyze the relationship between technological capability and firm performance and its statistical between-study heterogeneity.

In order to analyze all the results from this relationship that were found in the literature, we adopted the literature review with a meta-analytic method. We consulted the Scopus and Web of Science databases, which returned, after the application of inclusion criteria, 23 primary studies with data from 5,882 manufacturing firms.

We observed that technological capability and performance are positively related; however, the results regarding this relationship are heterogeneous. We discovered four possible sources of statistical between-study heterogeneity: (i) the statistical between-study heterogeneity of the variables to measure technological capability and performance; (ii) orientation of the thematic approach – some illustrate the relationship between technological capability and performance using mathematical and theoretical models, while others examine the relationship between technological capability and performance and propose implications pertaining to that relationship; (iii) the source of data for primary studies and (iv) the context in which this relationship is observed.

It is necessary to standardize a set of variables through which technological capability and performance are evaluated so that results and implications can be usefully compared between countries and industrial sectors.

The contribution to knowledge is identifying the statistical between-study heterogeneity on the relationship between technological capabilities and firm performance, as well as its potential sources.

The primary aim of this research was to investigate the mediating effect of the decision-making structure on the relationship between perceived environmental uncertainty and hospital performance.

Online and manual survey questionnaires were used to collect data in this study. The target population of this study consists of all middle managers within 11 COVID-19 referral hospitals in Surabaya. A total of 189 responses were collected, however, 27 incomplete responses were excluded from the final dataset. Data was analyzed using SEM-PLS.

The study's findings indicate that decision-making structure plays a role in mediating the link between perceived environmental uncertainty and hospital performance assessed via the Balanced Scorecard, highlighting the significance of flexible decision-making processes during uncertain periods. Moreover, based on our supplementary test, respondents' demographic characteristics influence their perceptions of hospital performance.

Hospital administrators can consider the significance of decision-making structures in responding to environmental uncertainties like the COVID-19 pandemic. By fostering adaptable decision-making processes and empowering middle managers, hospitals may enhance their performance and resilience in challenging situations. Additionally, based on supplementary tests, it is found that differences in the perception of the three Balanced Scorecard perspectives imply that hospitals categorized as types A, B, C, and D should prioritize specific areas to improve their overall performance.

This research adds substantial originality and value to the existing body of knowledge by exploring the interplay between decision-making structures, environmental uncertainty, and hospital performance. It contributes to the literature by specifically focusing on the Covid-19 pandemic, a unique and unprecedented global crisis.

Agency theory motivated this study, posing that leverage mitigates the agency problem. The aim was to examine whether leverage influences the relationship between executive-employee pay gaps (EEPGs) and firm performance. The study was conducted in the mining and retail sectors between 2012 and 2021.

Two EEPGs were featured based on their executive fixed pay and variable incentives accumulation. Proxies of firm performance were headline earnings per share; return on assets; earnings before interest, tax, depreciation and amortisation; and return on stock price. Data were collected from 76 JSE-listed firms in the retail and mining sectors and analysed using the two-step generalised method of moments.

The results revealed the hybrid implication of the pay gap for firm performance in the retail and mining sectors of South Africa, depending on the performance measures emphasised. More importantly, the study shows that with the moderating effects of leverage, firms can improve their performance while shrinking the pay gap.

The results have implications for policy addressing income inequality, debt management, executive compensation and regulatory reforms in South Africa concerning productivity and remuneration decisions.

The article provides specific literature for retail and mining industries on pay gaps, shows that it is possible to reduce the pay gap without compromising performance and suggests a new measure of performance that is more attuned to pay gap effect measurement.

This paper examines how manufacturing firms impacted by the nitrogen oxides (NO_x) Budget Trading Program (NBP) strategically managed working capital to release funds for increased costs and mitigate the negative impact on firm performance.

The study uses a panel data set including 11,302 manufacturing firm-year observations listed on the US exchanges during the period 2000–2008. The authors use Tobin's Q to proxy for firm performance, and cash holding, cash conversion cycle (CCC), days sales outstanding (DSO), days sales inventory (DSI) and days payable outstanding (DPO) for working capital management (WCM). The empirical analysis is conducted using both ordinary least squares (OLS) and propensity score matching (PSM) regressions.

The authors find that firms respond to the higher utility costs imposed by the NBP by decreasing CCC, DSO and DSI. This active WCM response partially mitigated the impact of increased compliance costs on performance for firms affected by the NBP. Results are robust in PSM regressions.

Climate change is a global issue that has attracted increasing attention in recent years. This study shows how firms can adjust short-term financing strategies to address the costs of compliance with climate change regulation.

The paper contributes to the emerging literature on corporate finance and climate policy actions. The authors use the unique experimental setting of the NBP to examine the regulatory impact on corporate financial management. The authors demonstrate how firms used active WCM to mitigate the negative performance impact of regulatory compliance with the NBP, providing novel insight on the implication of compliance with climate change legislation.