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This paper aims to examine the association between perceived firm risk and two reporting mechanisms: risk disclosure and earnings smoothing in the UK context.

This study juxtaposes three competing views, the “null”, the “divergence” and the “convergence” hypotheses, and empirically investigates whether risk disclosure and earnings smoothing affect firm perceived risk for a sample of large UK firms with rich and poor information environments. This study also uses the global financial crisis as an external shock on overall risk in the economy to investigate when and how managers use these two reporting mechanisms to shape the firm perceived risk.

This paper documents that risk disclosures have no significant effect on investors’ risk perceptions, consistent with risk disclosures containing boilerplate and generic statements about firm risk. This paper also finds that earnings smoothing reduces investors’ risk perceptions, reflecting investors’ interpretations about future firm performance. Additional tests reveal that earnings smoothing is not associated with perceived firm risk for firms with rich information environments and expanded risk disclosures. Furthermore, reporting smooth earnings decreases perceived firm risk following the global financial crisis. These findings are robust to alternative specifications and measures of earnings smoothing as well as post-filing perceived firm risk.

This study does not distinguish between the garbling role and the informational role of earnings smoothing. The risk disclosure measurement used in this study, developed based on UK annual reports, may limit the generalizability of findings to other countries.

The findings suggest that managers should revise their risk disclosure strategies to provide in-depth details on firm risk. Investors might require information and thorough assessment to evaluate investment risks when firms provide generic risk disclosures and smoothed earnings by consulting sources like financial intermediaries. Regulators should keep an eye on firms reporting boilerplate risk disclosures and on how smoothing earnings impacts the firm perceived risk following economic turmoil, to guide interventions that promote market stability.

The findings provide new insights into when and how managers use their financial reporting discretion to make firms appear less risky and, therefore, influence investors’ risk perceptions.

The objective of this study is to explore the structural attributes of the pharmaceutical industry before the onset of the COVID-19 pandemic by examining the relationship between inventory and firm performance and developing a taxonomy of pharmaceutical firms based on the earns-turns matrix.

This study examines the inventory–firm performance linkage, considering both total inventory and its discrete inventory components in pharmaceutical firms. In addition, this research develops a new taxonomy of pharmaceutical firms based on the earns-turns matrix. A large panel dataset of firms in the US pharmaceutical industry was collected for the period 2000–2019.

The results reveal that strategic groups identified based on this taxonomy show different levels of profitability and inventory turns in the earns-turns matrix. Most pharmaceutical firms moved from the low-right to the top-left section in the earns-turns matrix, indicating that these firms have generally pursued profitability rather than effective inventory management.

This study explores the structural attributes of the pharmaceutical industry using the earns-turns matrix. This two-dimensional analysis may not, however, capture the full complexity of inventory–firm performance dynamics.

The mapping of strategic groups on the earns-turns matrix provides a useful tool for visual representations of the dynamics of strategic groups in terms of financial performance and inventory management performance. Practitioners can use the earns-turns matrix to benchmark their firm's position against their competitors.

This study broadens the scope of operations management research by introducing the earns-turns matrix as an empirical validation tool for operational and strategic management theories. This study emphasizes the effectiveness of the earns-turns matrix in analyzing strategic groups of pharmaceutical firms.

This paper aims to contribute to the management control systems (MCS) changes in public-private partnerships (PPSs) by developing a conceptual archetype explaining the relationship between trust and MCSs in PPPs, and highlighting how this relationship may evolve over time.

The paper adopts a longitudinal case study methodology focusing on a hospital built and operated under a project finance deal. The methods adopted include semistructured interviews, direct observation and internal documentation analysis. We conducted 15 semistructured interviews from 2019 to 2021. In analyzing different documents and interviews, we triangulated data to ensure solid interpretation.

The case shows how trust can take different configurations depending on the type of MCS used. The results highlight how different patterns of MCSs, about trust, can be combined to govern PPPs. The case also shows the temporal dynamics of how MCS and trust evolve at different organizational levels and how bureaucratic control matched with contractual trust and trust-based control matched with competence trust can coexist at different times and organizational levels.

Managers involved in PPPs will be aware of the role of different types of trust in shaping and managing the relationship between partners at different organizational levels. Furthermore, the findings could help policymakers to adopt more informed decisions and to promote practice-based trust at various organizational levels of PPPs.

The paper proposes a management control archetype based on bureaucracy- and trust-based patterns concerning the level of programmability of tasks, as well as defined risks.

Facilities management (FM) as a strategic management tool has been an attractive research topic among scholars and practitioners alike for decades. The primary purpose of this paper is threefold: to assess the extent of use of FM roles (strategic, tactical and operational); to examine user satisfaction of service quality performance; and to analyse the influence of FM roles on service quality performance using data from Nigeria’s banking sector.

Relying on exploratory cross-sectional survey, 350 copies of a structured questionnaire were purposively distributed to senior management staff, bank staff, FM supervisors and bank customers in Lagos, Nigeria. One hundred and forty valid responses were returned to give a response rate of 40%. Data collected were analysed using descriptive, Spearman rank correlation and Kruskal–Wallis tests.

It was discovered that strategic facilities planning, IT planning strategy and real estate decisions are the most important FM roles at the strategic level; resource management, data control and planning change at the tactical level; and implementations, building operations and emergencies at the operation level. Findings equally revealed that visual appealing of materials associated with services (tangibles), insisting on error-free records (reliability), willing to help (responsiveness), having the knowledge to answer questions (assurance) and giving individualised attention (empathy) were the most important service quality performance indicators. Furthermore, the study revealed that strategic FM roles significantly influenced tangibles, reliability and responsiveness of staff and the services. Besides, tactical FM roles significantly influenced all service quality indicators except assurance, while operational FM roles had significant influence on tangibles, responsiveness and empathy.

To the best of the author’s knowledge, this study has provided first ever insight into the extent of FM strategic roles in the banking sector and influence of FM roles on service quality performance.

This study examines how corporate litigation, both securities-related and not, is affected by hedge fund (HF) activism.

We use a difference-in-differences (DiD) method, along with propensity score matching and firm fixed effects and a comparison of HF and non-HF activists for identification.

We find that companies that are targeted by HFs face operation-related lawsuits, mainly from stakeholders or competitors. This effect does not seem to be caused by targets' higher tendency to settle the cases. Our evidence shows that HF activists increase firm value for the target firms that are prone to litigation.

Therefore, our evidence supports the idea that the higher operation litigation risks are unintended consequences of improving firm efficiency through cost savings or restructuring of target firms by the activists.

This paper aims to examine the influence of sustainability reporting on bank performance. Furthermore, this study investigates the impact of the country’s economic development, financial system and crisis in moderating sustainability reporting and bank performance relationship.

The sample consists of 400 listed banks from 19 countries over the 2009–2022 period. Panel fixed-effect regression is applied, and System Generalized Method of Moments is used as robustness to address endogeneity concerns. The results are robust and survive several sensitivity tests.

The results, aligning with legitimacy and agency theories, suggest a negative relationship between sustainability reporting and bank performance. Based on further classifications, results suggest the negative (positive) impact of country’s financial system (economic development) in moderating the sustainability reporting and bank performance nexus. Finally, this study documents the positive influence of sustainability reporting on bank performance during the crisis period. Overall, the findings fail to support the reduced information asymmetry accruing from higher sustainability disclosures in developing and bank-based economies.

This study has important implications for regulators, policymakers and other stakeholders, especially in light of recent banking scandals that have deteriorated stakeholders' faith in financial institutions' reporting quality.

This study extends the scant literature on sustainability reporting in banking from a cost-benefit vantage point. Furthermore, to the best of the author’s knowledge, no previous research has examined the moderating role of the country’s financial structure and crisis in sustainability reporting and bank performance relationship.

The Covid-19 pandemic appears to have engendered heterogeneous effects on individuals’ labour market prospects. This paper focuses on two possible sources of a heterogeneous exposition to labour market risks associated with the pandemic outbreak: the routine task content of the job and the teleworkability. To evaluate whether these dimensions played a crucial role in amplifying employment and wage gaps among workers, we focus on the case of Italy, the first EU country hit by Covid-19.

Investigating the actual effect of the pandemic on workers employed in jobs with a different degree of teleworkability and routinization, using real microdata, is currently unfeasible. This is because longitudinal datasets collecting annual earnings and the detailed information about occupations needed to capture a job’s routine task content and teleworkability are not presently available. To simulate changes in the wage distribution for the year 2020, we have employed a static microsimulation model. This model is built on data from the Statistics on Income and Living Conditions (IT-SILC) survey, which has been enriched with administrative data and aligned with monthly observed labour market dynamics by industries and regions.

We measure the degree of job teleworkability and routinization with the teleworkability index (TWA) built by Sostero et al. (2020) and the routine-task-intensity index (RTI) developed by Cirillo et al. (2021), respectively. We find that RTI and TWA are negatively and positively associated with wages, respectively, and they are correlated with higher (respectively lower) risks of a large labour income drop due to the pandemic. Our evidence suggests that labour market risks related to the pandemic – and the associated new types of earnings inequality that may derive – are shaped by various factors (including TWA and RTI) instead of by a single dimension. However, differences in income drop risks for workers in jobs with varying degrees of teleworkability and routinization largely reduce when income support measures are considered, thus suggesting that the redistributive effect of the emergency measures implemented by the Italian government was rather effective.

No studies have so far investigated the effect of the pandemic on workers employed in jobs with a different degree of routinization and teleworkability in Italy. We thus investigate whether income drop risks in Italy in 2020 – before and after income support measures – differed among workers whose jobs are characterized by a different degree of RTI and TWA.

The aim of this study was to examine the moderating roles of the legitimate power and distributive justice of the tax authority on the effect of procedural justice on the voluntary tax compliance of taxpayers in Addis Ababa, the capital of Ethiopia, by using survey data collected from taxpayers in the city.

Data for the study were collected from 800 sample taxpayers who were drawn by using a systematic sampling technique. The variables of the study were constructed as indices from composing the scale items developed and tested for their validity by prior researchers. Having collected the data by using a 7-point Likert scale questionnaire and forming the latent variables, hierarchical multiple regressions were applied to determine the moderating effects of the two variables (i.e. legitimate power and distributive justice) on the effect of procedural justice on voluntary tax compliance.

The author found that both the legitimate power of the tax authority and distributive justice of the authority moderate the effect of procedural justice on voluntary tax compliance. The moderating roles of the two variables appear to be opposite in that low (but not high) distributive justice and high (but not low) legitimate power of the tax authority stimulate the effect of procedural justice on voluntary tax compliance.

The first limitation is that the data used in this study are self-reported data while the subject of the study is sensitive subject about which respondents are not believed to provide genuine responses. This is presumably because taxpayers are less likely to confess their tax evasion as they fear legal actions following their self-report. Hence, other controlled methods such as the experimental design are recommended to replicate the results of this study. The second limitation is that data for the study were gathered through a one-time cross-sectional survey and hence it would not warrant a causal claim between the study variables. Consequently, other research with a longitudinal or experimental design might warrant a causal relationship between the variables.

Therefore, the tax authorities must endeavor to attain high legitimacy by doing “the right things” as perceived by the taxpayers so that their tax-related decisions gain acceptance from the decision recipients. Tax policy makers as well ought to consider the importance of and the relationship between procedural justice, distributive justice and legitimate power of the tax authority in order to attain the maximum possible voluntary compliance of taxpayers that significantly reduces the administrative cost of taxes.

The study benefits society by enhancing tax compliance and hence helping the government secure a better amount of tax revenue and provide better public goods and services.

The findings of this study are of high theoretical and policy significance. Theoretically, the findings contribute to the integrative literature on economic deterrence and social-psychological factors that are responsible for voluntary tax compliance decisions. The parallel moderating roles of the two variables on the relationship between procedural justice and voluntary cooperation in a single model and in the tax compliance context are novel. In terms of applicability to policy formulations, they shed light on the need for a shift from a pure focus on aggressive tax audits and penalties, especially in emerging economies to a combination of the tax audits and the nurturing of the voluntary deference of taxpayers to the tax authority's decisions. Caution must, however, be taken that the results of this study may not be applicable to tax environments in other countries.

This study aims to present an innovative predictive methodology that transitions from traditional efficiency assessment techniques to a forward-looking strategy for evaluating working capital management(WCM) and its determinants by integrating data envelopment analysis (DEA) with artificial neural networks (ANN).

A slack-based measure (SBM) within DEA was used to evaluate the WCME of 1,388 firms in the Indian manufacturing sector across nine industries over the period from April 2009 to March 2024. Subsequently, a fixed-effects model was used to determine the relationships between selected determinants and WCME. Moreover, the multi-layer perceptron method was applied to calculate the artificial neural network (ANN). Finally, sensitivity analysis was conducted to determine the relative significance of key predictors on WCME.

Manufacturing firms consistently operate at around 50% WCME throughout the study period. Furthermore, among the selected variables, ability to create internal resources, leverage, growth, total fixed assets and productivity are relatively significant vital predictors influencing WCME.

The integration of SBM-DEA and ANN represents the primary contribution of this research, introducing a novel approach to efficiency assessment. Unlike traditional models, the SBM-DEA model offers unit invariance and monotonicity for slacks, allowing it to handle zero and negative data, which overcomes the limitations of previous DEA models. This innovation leads to more accurate efficiency scores, enabling robust analysis. Furthermore, applying neural networks provides predictive insights by identifying critical predictors for WCME, equipping firms to address WCM challenges proactively.

The objective of this study is to generate new fiscal transparency indicators based on fiscal sustainability reports voluntarily disclosed by Chilean companies, leaders in Latin America in the issuance of green, social and sustainability corporate bonds (OECD, 2023a; OECD, 2018).

The sample included the analysis of sustainability reports of 30 Chilean companies with the highest market capitalization published in the period 2021. A correlation was carried out for each of the companies in the sample with the intention of detecting differences between several groups of paired dichotomous variables. For this, Cochran's Q test was used; the McNemar test; the Friedman test; the Wilcoxon test; the Levene test and the Kruskal−Wallis test were also used.

In the case of the companies in the sample, for the 2021 period there was an increase in disclosures of tax strategies compared to the study carried out by Faúndez-Ugalde et al. (2022) for the period 2020. However, there is still a lower degree of compliance in reporting fiscal risks and “country by country” information.

The commitment of companies to assume tax transparency standards improves their behavior in compliance with their tax obligations and provides greater certainty to develop actions to mitigate their tax risks.

The results demonstrate practical implications, where fiscal sustainability reports can enhance the work of tax administrations by defining indicators of good fiscal practices.

This study expands the research on the fiscal sustainability standards of Chilean companies, thus providing a deeper understanding of their performance regarding fiscal transparency.