We measure the effects of pre- and postrelease blog volume, blog valence, and advertising on the performance of 75 movies in 208 geographic markets in the United States. We attribute the variation in blog effects across markets to differences in demographic characteristics of markets combined with differences across demographic groups in their access and exposure to blogs as well as their responsiveness conditional on access.
We empirically study the impact of the entry of a new theater on two important product decisions that incumbents in the movie exhibition industry face: (1) whether to invest in screening movies that are expected to be popular, and (2) when to adopt new releases. For theaters, both of these decisions feature a cost-demand trade-off inherent in quality decisions: Although screening popular and recent movies brings more patrons to the theater, distributors take a higher share of the revenue for such movies.
Amendment of IAS 39 by the IASB in 2008 provided an option to reclassify investments from fair value to historical cost. We predict that too-important-to-fail (TITF) banks took less advantage of this option because the political protection they enjoyed insulated them from regulatory pressure. Banks that did not enjoy this protection had greater reason to make use of this option since doing so would protect their Tier 1 capital.
Industry evolution scholars define industry inception as first instance of product commercialization, focusing on subsequent time periods of growth and maturity. Left understudied are the triggers, actors, and actions preceding industry inception.
In this invited note, we provide a historical context and a brief review of tax research published in the Journal of Accounting Research over the past decade. We also describe five areas within tax research that are relatively poorly understood or sparsely researched, but have potential for significant advancement in the future.
Whether fair value accounting should be used in financial reporting has been the subject of debate for many years. A key dimension to this debate is whether fair value earnings can provide information to financial statement users that is helpful in making their economic decisions.
In this paper, we introduce the role of big data in humanitarian settings and discuss data streams which could be utilized to develop descriptive, prescriptive and predictive models to significantly impact the lives of people in need.
Interorganizational relationships connect people affiliated with organizations rather than corporate actors themselves. The managers and owners of organizations therefore do not always control these connections and consequently often cannot profit from them. We discuss the circumstances under which individuals (versus organizations) own these relationships (and therefore also the social capital generated by them).
We investigate the effect of CFO narcissism, as measured by signature size, on financial reporting quality. Experimentally, we validate that narcissism predicts misreporting behavior, and that signature size predicts misreporting through its association with narcissism.
Public health surveillance systems routinely process massive volumes of data to identify health adverse events affecting the general population. Surveillance and response to foodborne disease suffers from a number of systemic and other delays that hinder early detection and confirmation of emerging contamination situations. In this paper we develop an answer set programming (ASP) application to assist public health officials in detecting an emerging foodborne disease outbreak by integrating and analyzing in near real-time temporally, spatially and symptomatically diverse data. These data can be extracted from a large number of distinct information systems such as surveillance and laboratory reporting systems from health care providers, real-time complaint hotlines from consumers, and inspection reporting systems from regulatory agencies. We encode geographic ontologies in ASP to infer spatial relationships that may not be evident using traditional statistical tools. These technologies and ontologies have been implemented in a new informatics tool, the North Carolina Foodborne Events Data Integration and Analysis Tool (NCFEDA). The application was built to demonstrate the potential of situational awareness—created through real-time data fusion, analytics, visualization, and real-time communication—to reduce latency of response to foodborne disease outbreaks by North Carolina public health personnel.
The challenge for public health officials is to detect an emerging foodborne disease outbreak from a large set of simple and isolated, domain-specific events. These events can be extracted from a large number of distinct information systems such as surveillance and laboratory reporting systems from health care providers, real-time complaint hotlines from consumers, and inspection reporting systems from regulatory agencies. In this paper we formalize a foodborne disease outbreak as a complex event and apply an event-driven rule-based engine to the problem of detecting emerging events. We define an evidence set as a set of simple events that are linked symptomatically, spatially and temporally. A weighted metric is used to compute the strength of the evidence set as a basis for response by public health officials.
We investigate the response of small businesses operating as sole proprietorships to Form 1099-K, an information report introduced in 2011 which provides the Internal Revenue Service with information about electronic sales (e.g., credit card sales). The overall impact of the policy appears to be relatively small. However, theory and distributional analysis isolates a subset of taxpayers expected to be especially sensitive to reporting, who report receipts equal to or slightly exceeding the receipts reported on 1099-K.
In this article, we develop a novel theoretical framework detailing what collective action problems and solutions arise in market formation and under what conditions. Our framework centers on the development of market infrastructure with three key factors that influence the nature and extent of collective action problems: perceived returns to contributions, excludability, and contribution substitutability. We apply our framework to diverse market formation contexts and derive a set of attendant propositions. Finally, we show how collective action problems and solutions evolve during market formation efforts and discuss how our framework contributes to strategic management, entrepreneurship, and organization literatures.
...stage ventures’ development. Yet, while recent research indicates that some accelerators have a causal treatment effect, questions remain about why some accelerators seem to have a greater effect than others...
American Community Survey data are used to develop typologies of the generational dynamics and living arrangements of the estimated 1.6 million African American older adult households who will likely encounter the most difficulty aging in place. Policy recommendations and strategies are offered to address the specific barriers and challenges that must be overcome in order for these older adults to successfully live out their lives in their homes and community.
Research, including our own studies, suggests that small tweaks can improve your commuting experience, leaving you happier and more productive.
In this paper, we develop a multilevel model of knowledge retrieval in teams to explore how individuals on the periphery of knowledge networks—because of their inexperience, location, lack of social capital, gender, or role—access knowledge from such a knowledge repository.
This special issue is intended to present the state-of-the-art research progress on related subjects and to foster additional research in this important emerging area in production and operations management.
In this paper, we study the problem of allocating inventory procured using donor funding to patients in different health states over a finite horizon with the objective of minimizing the number of disease‐adjusted life periods lost.
As waste from used electronic products grows steadily, manufacturers face take‐back regulations mandating its collection and proper treatment through recycling, or remanufacturing. Environmentalists greet such regulation with enthusiasm, but its effect on remanufacturing activity and industry competition remains unclear. We research these questions, using a stylized model with an original equipment manufacturer (OEM) facing competition from an independent remanufacturer (IR).