Narrative disclosures in annual reports

This paper explores a methodology for evaluating the content of narrative data. The method is applied to the president's letter and management analysis portions of annual reports in three industries. Comparisons of the narrative themes identified by the method are made to economic factors of sample firms that could alter perception of management performance. Results confirm hypothesized linkages between performance and narrative disclosure consistent with attribution theory.     

Public meetings about local cancer clusters: exploring the relative influence of official versus symbolic risk messages on attendees’ post‐meeting concern

Scholars have long lobbied for a view of risk communication that supplants a conventional ‘transmission’ model of risk communication with an alternative that considers the complex social environment that accompanies any risk communication effort. Along these lines, this study examines the relative influence of official health messages versus symbolic risk messages on public meeting attendees’ post‐meeting concern about cancer clusters in six US communities. As part of a larger study of cancer clusters, we obtained written responses from 125 individuals who attended a government‐sponsored public meeting in their community. We asked respondents whether attending the meeting influenced their concerns and, if so, why. The results found that, despite the largely reassuring messages that health officials were giving, most attendees reported feeling more concerned after the meetings in their communities. Regarding why, explanations that denoted symbolic risk messages – unofficial sources of risk information and procedural cues – outnumbered explanations that pointed to official risk messages – scientific presentations – by a score of three to one. The results lend support for a broader view of risk communication, which accounts not only for multiple sources of risk information but also for procedural cues regarding the trustworthiness of an investigation.     

Building Responsible Innovation in International Organizations through Intrapreneurship

Responsible innovation to address grand societal challenges has become the raison d’être of international organizations, such as the United Nations. Although these entities are established to act responsibly, they struggle to innovate. Acknowledging the tensions of this unique context, this study applies an inductive research methodology drawing on eight case studies of intrapreneurial initiatives in socially oriented organizations. The initiatives originated in country offices and scaled either organically (country-by-country) or strategically (via headquarters). This distinguishes two ways how the initiatives mitigate different responsible innovation tensions to foster competence development, structural alignment, and mission stretch. The findings add to the literatures on responsible innovation and intrapreneurship in large, complex organizations by uncovering the boundary conditions of non-profit intrapreneurship, its tensions, and its scaling processes. This study builds theory that intrapreneurial initiatives can foster digital transformation and contribute to the development of an organizational capability for responsible innovation via organizational imprinting.     

Through the mud or in the boardroom: Examining activist types and their strategies in targeting firms for social change

Research summary : We examine the variety of activist groups and their tactics in demanding firms' social change. While extant work does not usually distinguish among activist types or their variety of tactics, we show that different activists (e.g., social movement organizations vs. religious groups and activist investors) rely on dissimilar tactics (e.g., boycotts and protests versus lawsuits and proxy votes). Further, we show how protests and boycotts drag companies “through the mud” with media attention, whereas lawsuits and proxy votes receive relatively little media attention yet may foster investor risk perceptions. This research presents a multifaceted view of activists and their tactics and suggests that this approach in examining activists and their tactics can extend what we know about how and why firms are targeted. Managerial summary : The purpose of this study was to examine how different types of activist groups behave differently when targeting firms for social change. We find that traditional activist groups rely on boycotts and protests, whereas religious groups and activist investors rely more on lawsuits and proxy votes. Additionally, we find that protests and boycotts are associated with greater media attention, whereas lawsuits and proxy votes are associated with investor perceptions of risk. Copyright © 2015 John Wiley & Sons, Ltd.     

Economic equity and people with disabilities: Development and characterization of a novel index

Here, we develop two new social indices: the ADA PARC Absolute Economic Opportunity Index and the ADA PARC Relative Economic Opportunity Index. These indices allow us novel examinations of economic equity between people with and without disabilities within a U.S. state and between people with disabilities in different states using aggregations of multiple component economic indicators. These represent the first efforts to offer U.S. indices of this focus, an important development given the distinct economic needs of people with disabilities and the value in accounting for distinct national policies. The indices rely on U.S. Census and other data on economic opportunity by population. These indices provide comprehensive insight into economic disparities between people with and without disabilities and among people with disabilities in the United States. We find that state/territory values for the two indices are moderately positively correlated, suggesting that relative and absolute economic opportunity for people with disabilities arise from both common and distinct processes. Policy implications for low economic opportunity states are discussed.     

The impact of minimum wages on wages,work and poverty in Nicaragua

In this paper we use an individual- and household-level panel data set to study the impact of changes in legal minimum wages on a host of labor market outcomes including: a) wages and employment, b) transitions of workers across jobs (in the covered and uncovered sectors) and employment status (unemployment and out of the labor force), and c) transitions into and out of poverty. We find that changes in the legal minimum wage affect only those workers whose initial wage (before the change in minimum wages) is close to the minimum. For example, increases in the legal minimum wage lead to significant increases in the wages and decreases in employment of private covered sector workers who have wages within 20% of the minimum wage before the change, but have no significant impact on wages in other parts of the distribution. The estimates from the employment transition equations suggest that the decrease in covered private sector employment is due to a combination of layoffs and reductions in hiring. Most workers who lose their jobs in the covered private sector as a result of higher legal minimum wages leave the labor force or go into unpaid family work; a smaller proportion find work in the public sector. We find no evidence that these workers become unemployed.Our analysis of the relationship between the minimum wage and household income finds: a) increases in legal minimum wages increase the probability that a poor worker's family will move out of poverty, and b) increases in legal minimum wages are more likely to reduce the incidence of poverty and improve the transition from poor to non-poor if they impact the head of the household rather than the non-head; this is because the head of the household is less likely than a non-head to lose his/her covered sector employment due to a minimum wage increase and because those heads that do lose covered sector employment are more likely to go to another paying job than are non-heads (who are more likely to go into unpaid family work or leave the labor force).     

Inter‐Jurisdictional Competition for Firms*

Regions inhabited with an immobile population of disabled and able individuals compete to attract mobile firms that provide jobs. The redistributive goal of regional governments is to support the disabled, who cannot work. Able individuals may work, be involuntary unemployed because of frictions in the labor market, or choose to be voluntary unemployed. Labor force participation decisions depend on regional redistributive policies. Both the size of workforce and tax on firms affect profits and therefore, firms’ location decisions. Allowing regions to engage in tax competition may be efficient. If regions cannot tax firms, they compete by implementing inefficient redistributive policies.     

Compositional gaps and downward spirals in international joint venture management groups

We argue that compositional gaps in international joint venture (IJV) management groups, along parent company lines, will accentuate distinct managerial coalitions. Such gaps can occur on dimensions of observable demography, less apparent demography, or psychological characteristics. While compositional gaps in IJV management groups can provide the basis for healthy substantive conflict, such gaps—particularly if they are large—also tend to induce relationship conflict and heighten substantive conflict beyond its beneficial range. This can set off a downward spiral of relationship conflict, substantive conflict, and behavioral disintegration in the group. These harmful group processes further interact reciprocally with any tensions that might exist between the IJV parents, engendering a second downward spiral. Our model has implications for the performance of international joint ventures, and it serves as a foundation for designing interventions to avoid the downward spirals we portray. Copyright © 2001 John Wiley & Sons, Ltd.     

Using the Fraction of Missing Information to Identify Auxiliary Variables for Imputation Procedures via Proxy Pattern‐mixture Models

In many surveys, imputation procedures are used to account for non‐response bias induced by either unit non‐response or item non‐response. Such procedures are optimised (in terms of reducing non‐response bias) when the models include covariates that are highly predictive of both response and outcome variables. To achieve this, we propose a method for selecting sets of covariates used in regression imputation models or to determine imputation cells for one or more outcome variables, using the fraction of missing information (FMI) as obtained via a proxy pattern‐mixture (PMM) model as the key metric. In our variable selection approach, we use the PPM model to obtain a maximum likelihood estimate of the FMI for separate sets of candidate imputation models and look for the point at which changes in the FMI level off and further auxiliary variables do not improve the imputation model. We illustrate our proposed approach using empirical data from the Ohio Medicaid Assessment Survey and from the Service Annual Survey.