Learning from negative outcomes is of fundamental interest to scholars. Yet most research in this area explores learning from actual outcomes. By contrast, we add to the literature by setting forth a theoretical framework that highlights learning from the anticipation of negative outcomes rather than actual outcomes. Using an inductive, multiple case research design, we develop an emergent typology for how anticipatory learning occurs.
Reliably detecting insider trading is a major impediment to both research and regulatory practice. Using account-level transaction data, we propose a novel approach. Specifically, after extracting several key empirical features of typical insider trading cases from existing regulatory actions, we then employ a machine learning methodology to identify suspicious insiders across our full sample.
Voice, or the expression of work-related suggestions or opinions, can help teams access and utilize members’ privately held knowledge and skills and improve collective outcomes. However, recent research has suggested that sometimes, rather than encourage positive outcomes for teams, voice from members can have detrimental consequences.
Recent research has documented that industry concentration has increased significantly over the past 25 years, with potentially negative consequences for competition, productivity, and social welfare. Some have suggested that greater corporate tax planning by industry leaders, which can provide them with a cost advantage over their competitors, has contributed to this trend. As a result, policymakers are targeting such tax planning to reduce industry concentration.
After being generated, a new idea is rarely perfect but must be clarified, improved, and developed in more detail. Unfortunately, idea elaboration and creativity do not always come together: many new ideas become less creative when elaborated. This research examines who elaborates new ideas more creatively.
New business formation plays a crucial role in predicting economic activity in North Carolina. Research shows that business starts positively impact county GDP growth and job creation, with larger effects in highly populated counties. The impact is smaller but still significant in less populated counties. Employment growth also varies by sector—new businesses in goods-producing industries create jobs after a delay, while service-sector businesses contribute to job growth more quickly. This research was done in collaboration with the North Carolina Secretary of State’s Office and the North Carolina Collaboratory.
Modeling consumer heterogeneity helps practitioners understand market structures and devise effective marketing strategies. In this research we study finite mixture specifications for modeling consumer heterogeneity where each regression coefficient has its own finite mixture, that is, an attribute finite mixture model.
While commerce between firms, i.e., business or B2B markets is roughly comparable in monetary terms to the commerce between firms and consumers (B2C), the volume of high-quality academic research devoted to issues in B2B pales in comparison to that focused on B2C.1 Our goal with this special issue is a focus on important new research in this understudied domain.
Private equity continues to grow as a major investment vehicle in the U.S. and globally. The 12th annual PERC Conference will build on its legacy as a leading research symposium in the ever-expanding field of private equity.
In emerging-market countries, commercial institutions do not always develop sufficiently quickly or effectively to support ambitious entrepreneurs. How might intermediaries remedy these problems? We address this question by drawing on institutional literatures to develop the concept of “open system intermediaries.” Our research design involves examining business incubators in emerging markets as a form of open system intermediary.
The current research explores the relationship between living abroad and self-concept clarity. We conducted six studies (N = 1,874) using different populations (online panels and MBA students), mixed methods (correlational and experimental), and complementary measures of self-concept clarity (self-report and self-other congruence through 360-degree ratings).
We review the accounting literature on innovation, focusing on the attributes of innovation that collectively make it unique from other resources: novelty, nonrivalry, and partial excludability. These unique attributes help innovation drive economic growth but create information-based challenges that accounting researchers are well-suited to address. We discuss the definition and measurement of innovation, then review the accounting literatures on the disclosure, management, financial reporting, taxation, and contracting and financing of innovation. For each of these literatures we identify challenges and opportunities for future research.
As individuals seek success, destructive interpersonal clashes can emerge when they believe they can only succeed at the expense of others. Prior work suggests this zero-sum construal of success is more likely occur when people receive negative feedback regarding their achievement. In the present research, we identify another element in the workplace that can strengthen zero-sum beliefs, and not just for those who receive negative feedback, but even for those who receive positive feedback.
The North Carolina Community Action Association (NCCAA) commissioned a study to assess the impact of the COVID-19 pandemic on its efforts to combat poverty and facilitate self-sufficiency in low-income communities throughout the state. We conducted focus groups with individuals served by Community Action Agencies (CAAs) and conducted a corresponding set of key informant interviews with identified leaders in five communities across the state. The research focused on five themes. We generated eight key takeaways from our content analysis of the focus group transcripts and nine key takeaways from our content analysis of the transcripts emanating from our Zoom sessions with community key informants.
This chapter investigates the pricing of key contract provisions of Puerto Rican debt. In doing so, the chapter contributes to a body of research that asks the questions: do investors price contract provisions? Does the pricing of contract provisions vary with credit risk? To our knowledge, this is the first study to address these questions for the case of Puerto Rico or any municipal issuer. Puerto Rico’s unique status as a U.S. territory implies that its subsidiaries, such as municipalities, cannot file for bankruptcy under Chapter 9 of the U.S. Bankruptcy Code.
When high-tech companies plan to expand, U.S. cities often compete to attract their investment. While living near a new corporate neighbor can bring job creation and an economic boost, these benefits aren’t experienced equally by local inhabitants. This week's insight explores this and other key findings in new research by UNC Kenan-Flagler Professor Franklin Qian and economist Rose Tan.
The multigenerational survival rate for family-owned businesses is not good. Lack of a shared vision for the family enterprise and weak next-generation leadership are often cited as two of the leading reasons for the failure of family firms to successfully transition from one generation of family ownership to the next. The climate of the business-owning family has also been suggested as important to the performance of the family enterprise. Despite these commonly held tenets, there is a lack of rigorous quantitative research that explores the relationships among these three factors.
Past research in operations management and marketing on inventory levels and product variety has predominantly focused on their effects on brand performance indicators, such as sales and market share, while overlooking the influence on consumers’ perceptions of brands. Brand perceptions, encompassing reputation, quality, credibility, and emotional associations, go beyond typical revenue metrics and offer foresight into a brand’s future performance. Hence, understanding the effects of inventory and product variety on brand perceptions is crucial, and that constitutes the main contribution of this paper.
The purpose of the present article is to take stock of a recent exchange in Organizational Research Methods between critics and proponents of partial least squares path modeling (PLS-PM).
Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks (batching) and those tasks they expect to complete faster (shortest expected processing time).