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.     

The Only Fund in Town? Geographic Segmentation in the US Mutual Fund Industry

We find that mutual funds located in regions with more competing funds charge lower management fees, but higher fees related to sales and distribution (12b‐1 fees), sales loads, and other nonmanagement fee expenses. There is some evidence that funds in more competitive regions have higher total expense ratios than similar funds in less competitive regions. Our results indicate that while increased competition drives down fund profits, it creates a negative externality by way of increased sales expenses. Overall, our results suggest the mutual fund industry is characterized by monopolistic competition determined at the local level.     

International compliance with new Basel Accord principles for risk governance

We assess international compliance with the Basel Committee's 2010 guidance on governance of banking organisations. Based on an extensive examination of regulatory documents in selected advanced economies, we find that reform is incomplete in jurisdictions most affected by the financial crisis, and with the largest financial centres. In contrast, other countries less affected by the financial crisis have enacted risk governance reforms as protection against potential future contagion. We provide insights for policy‐makers charged with improving governance at banks, and a richer understanding for international regulators as they revise the guidelines and aim for greater compliance at the national level.     

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.     

Technology infusion in service encounters

Service encounters are critical in all industries, including those that have not been traditionally defined as service industries. The increasing deployment of technology is altering the essence of service encounters formerly anchored in a “low-tech, high-touch” paradigm. This article explores the changing nature of service, with an emphasis on how encounters can be improved through the effective use of technology. The authors examine the ability of technology to effectively (1) customize service offerings, (2) recover from service failure, and (3) spontaneously delight customers. The infusion of technology is examined as an enabler of both employees and customers in efforts to achieve these three goals. Although the infusion of technology can lead to negative outcomes and may not be embraced by all customers, the focus of this article is on the benefits of thoughtfully managed and effectively implemented technology applications. Past research and industry examples are featured and future research directions and managerial implications are highlighted. Mary Jo Bitner is the AT&T Professor of Services Marketing and Management and the research director of the Center for Services Marketing & Management at Arizona State University. Her research focuses on customer evaluations of service, selfservice technologies, and service delivery issues. She has published in theJournal of Marketing, theJournal of the Academy of Marketing Science, theJournal of Business Research, theJournal of Retailing, and theInternational Journal of Service Industry Management. She is coauthor of the textServices Marketing (McGraw-Hill, 2d ed., 2000). Stephen W. Brown holds the Edward M. Carson Chair of Services Marketing and Management, is Professor of Marketing, and director of the Center for Services Marketing & Management at Arizona State University. His research focuses on services marketing strategy, service delivery, customer loyalty, and service recovery. He has published in theJournal of Marketing, theJournal of Marketing Research, theJournal of the Academy of Marketing Science, theJournal of Business Research, and theJournal of Retailing. He is the coeditor of theAdvances in Services Marketing and Management series. Matthew L. Meuter is Assistant Professor of Marketing at Villanova University with a Ph.D. in marketing from Arizona State University. His research interests focus on the impact technology has on the marketing function, the changing nature of technologically based service encounters, customer satisfaction with self-service technologies, and customer adoption of technologically based service delivery innovations. His research has been published in the American Marketing Association's (AMA)Educators' Proceedings and has been presented at several national conferences.     

Mapping the field: Retrospective of the federal universal service programs

The Telecommunications Act of 1996 (1996 Act) established the framework for four federal universal service programs: the High-Cost program, the Low-Income program, the Schools and Libraries (E-rate) program, and the Rural Health Care program. During the past 15 years, these programs have been examined from a number of perspectives in an attempt to measure their efficiency and effectiveness, including the funding mechanisms that support them. The Federal Communications Commission is in the process of restructuring the universal service programs to move support to broadband-based technologies. This is an opportune time to examine what is known about whether these programs have met the universal service objectives of the 1996 Act and have efficiently and effectively used universal service funding. To that end, this article surveys both oversight reports by federal government agencies and academic research literature drawn from a variety of sources to identify areas of concern regarding the mission, implementation, and impact of the federal universal service programs and support mechanisms. The article also includes research findings on how the economic incentives created by the federal universal service programs affect corporate investment and deployment decisions and consumer service and technology adoption decisions.     

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.     

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.