The Future of Financial Reporting: Insights from Research

Research offers insights that, if heeded and built upon, could improve financial reporting, thereby contributing to a more prosperous society. In particular, research suggests improvement could stem from greater use of fair value; a performance statement designed to reveal the information embedded in changes in fair value; better information to help investors assess the value of intangible assets; more specific information about risk and uncertainty; information that is unbiased, rather than conservative; acceptance of a degree of earnings management together with a determination of how much earnings management is acceptable; and a financial reporting package designed to convey information users need, which presumably is broader than today's financial statements.     

Russian workers’ experiences with and perceptions of sexual harassment severity

As the reach of global business operations increases, cultural context will likely influence the nature and amount of sexual harassment workers experience. Surprisingly, little is known about sexual harassment in Russia, an attractive target for expanding companies. To address this gap in the literature, we examine Russian workers’ perceptions of sexual harassment severity through the lens of cultural context. In particular, we examine the sexual harassment severity perceptions from the perspective of both targets and perpetrators. Results indicate that as targets of sexual harassment, Russian women and men held similar sexual harassment severity perceptions. However, as perpetrators, Russian women reported perceiving the harassment they committed as being less severe than the reports of Russian men. Further, among both targets and perpetrators, Russian women held less permissive sexual attitudes than Russian men, with this difference mediating the relationship between participant sex and perceived sexual harassment severity: women perceived greater severity than men because women hold less permissive sexual attitudes. Implications for research, practice, and the role of national culture in shaping the social construction of sexual harassment are discussed.     

Monte Carlo theoretical trials of methods for assessing statistical significance for differences between adjusted odds ratios

Odds are generally defined as the number of successes divided by the number of failures in a given number of trials. An odds ratio is the ratio of one odds divided by another. Odds ratios can be adjusted to reflect associations with the outcome independently of the influence of associations with other variables. These are adjusted odds ratios. There are several well known methods for comparing odds ratios and testing for statistically significant differences between them. Analogous methods for adjusted odds ratios are not well known or well documented. One method for comparing adjusted odds ratios is explained by Hosmer and Lemeshow (Applied logistic regression, 2000). This method is used for the odds ratios for two variables from the same data set. The purpose of this analysis was to apply this method to a different situation: comparing odds ratios for the same variable from two different data sets. Monte Carlo trials were used to assess the performance of the method and these indicated the method performed well.     

Determinants of Consumer Preferences for Honey in the Democratic Republic of Congo

Honey is one of the important non-timber forest products consumed in the Democratic Republic of Congo (DRC) and, as such, an important source of income for many households. However, poor knowledge of buyers’ preferences in the marketing of honey presents a major challenge to the profitability of the honey enterprises. The research presented in this article identifies key consumer characteristics that influence the preferences of honey consumers in the DRC. The primary data source used in this analysis is drawn from a survey of 214 consumers. Results show that consumers who are married and have reached at least the level of secondary education have a strong preference for local forest and savannah honey. Those between the ages of 30 and 50 do not prefer honey from beekeeping, but would rather have it imported. We conclude that segmentation of the honey market and increasing consumer awareness must go in tandem in order to develop a good marketing strategy.     

Illustrating the Power of fsQCA in Explaining Paradoxical Consumer Environmental Orientations

Prior research on proenvironmental and prosocial behavior focuses primarily on explaining consistent rather than paradoxical tendencies. Even though this field receives wide attention from different scientific disciplines, findings for many causal factors of such proenvironmental orientation are contradictory. Nevertheless, knowing who those individuals are who think and behave in a pro‐/antienvironmental way or show a paradoxical behavior in this regard becomes useful for many different parties in human societies including public policy makers, governmental and nongovernmental environmental protection organizations, and for‐profit firms. Therefore, this study identifies those individuals who show neither consistent proenvironmental nor consistent antienvironmental tendencies as the “walkers‐only” and “talkers‐only” (i.e., for short, “walkers” and “talkers”). The former are defined as persons who put much effort into the recycling of waste materials but do not support pollution standards, whereas the latter term describes individuals who have a strong opinion with regard to the support of pollution standards yet do not engage in recycling efforts. The present study reports evidence of the existence of walkers and talkers. Further, this research is the first study to employ “fuzzy‐set qualitative comparative analysis” to identify the complex antecedent conditions for some individuals’ paradoxical belief–behaviors in the field of socially and environmentally directed behaviors and orientations. The findings yield valuable insights both into the applicability and benefits of configural analysis and for public policy makers and managers in waste management and recycling industries.     

Employment and absenteeism in working-age persons with multiple sclerosis

Aims: To better understand the impact of the clinical course of multiple sclerosis (MS) and disability on employment, absenteeism, and related factors.

Materials and methods: This study included respondents to the North American Research Committee on Multiple Sclerosis Registry spring 2015 update survey who were US or Canadian residents, aged 18–65 years and reported having relapsing-remitting MS (RRMS), secondary progressive MS (SPMS), or primary progressive MS (PPMS). The RRMS and SPMS participants were combined to form the relapsing-onset MS (RMS) group and compared with the PPMS group regarding employment status, absenteeism, and disability. Multivariable logistic regression was used to examine the relationship between employment-related outcomes and factors that may affect these relationships.

Results: Of the 8004 survey respondents, 5887 (73.6%) were 18–65 years of age. The PPMS group (n?=?344) had a higher proportion of males and older mean age at the time of the survey and at time of diagnosis than the RMS group (n?=?4829). Female sex, age, age at diagnosis, cognitive and hand function impairment, fatigue, higher disability levels, ≥3 comorbidities, and a diagnosis of PPMS were associated with not working. After adjustment for disability, the employed PPMS sub-group reported similar levels of absenteeism to the employed RMS sub-group.

Limitations: Limitations of the study include self-report of information and the possibility that participants may not fully represent the working-age MS population.

Conclusions: In MS, employment status and absenteeism are negatively affected by disability, cognitive impairment, and fatigue. These findings underscore the need for therapies that prevent disability progression and other symptoms that negatively affect productivity in persons with MS to enable them to persist in the workforce.     

When does economic model type become a decisive factor in health technology appraisals? Learning from the expanding treatment options for relapsing–remitting multiple sclerosis

Objectives: Specific economic model types often become de facto standard for health technology appraisal over time. Markov and discrete event simulation (DES) models were compared to investigate the impact of innovative modeling on the cost-effectiveness of disease-modifying therapies (DMTs) in relapsing–remitting multiple sclerosis (RRMS). Fingolimod was compared to dimethyl fumarate (DMF; in highly active [HA] RRMS), alemtuzumab (in HA RRMS) and natalizumab (in rapidly evolving severe RRMS). Comparator DMTs were chosen to reflect different dosing regimens.

Materials and methods: Markov and DES models used have been published previously. Inputs were aligned in all relevant respects, with differences in the modeling of event-triggered attributes, such as relapse-related retreatment, which is inherently difficult with a memoryless Markov approach. Outcomes were compared, with and without different attributes.

Results: All results used list prices. For fingolimod and DMF, incremental cost-effectiveness ratios (ICERs) were comparable (Markov: £4206/quality-adjusted life year [QALY] gained versus DES: £3910/QALY gained). Deviations were observed when long-term adverse events (AEs) were incorporated in the DES (Markov: £25,412 saved/QALY lost, versus DES: £34,209 saved/QALY lost, fingolimod versus natalizumab; higher ICERs indicate greater cost-effectiveness). For fingolimod versus alemtuzumab, when relapse-triggered retreatment was included in the DES, large cost differences were observed (difference between incremental cost is £35,410 and QALY is 0.10).

Limitations: UK payer perspective, therefore societal approach was not considered. Resource utilization and utilities for both models were not derived from the subpopulations; as the focus is on model type, input limitations that apply to both models are less relevant.

Conclusions: Whilst no model can fully represent a disease, a DES allows an opportunity to include features excluded in a Markov structure. A DES may be more suitable for modeling in RRMS for health technology assessment purposes given the complexity of some DMTs. This analysis highlights the capabilities of different model structures to model event-triggered attributes.     

Do measurement-related fair value disclosures affect information asymmetry?

Using a sample of European real estate firms over the 2007–2010 period, this study provides some evidence that measurement-related fair value disclosures reduce information asymmetry. We find a negative association between the extent of fair value disclosures and the bid-ask spread, but no association with two additional measures of information asymmetry (zero returns and price impact). Contrary to our expectation, we fail to find evidence that firms using model estimates exclusively benefit the most from such additional disclosure. Analysing measurement errors (the absolute difference between the selling price of an asset and its fair value prior to sale), we find that firms that use model estimates exclusively and provide more measurement-related disclosures have lower errors and more accurate fair value estimates. In other words, if our lack of results is due to investors not using this additional disclosure this is to their detriment.