Formal theory and empirical research are complementary in building and advancing the body of knowledge in accounting in order to understand real-world phenomena. We offer thoughts on opportunities for empiricists and theorists to collaborate, build on each other’s work, and iterate over models and data to make progress.
While failure and success have important implications for individual and organizational performance, not all failure and success are equally significant in influencing performance. A key, but unexamined, element is one's expectation of the outcome.
A fundamental issue faced by operations management researcher relates to striking the right balance between rigor and relevance in their work. Another important aspect of operations management research relates to influencing and positively impacting businesses and society at large. We constantly struggle to achieve these objectives.
Application Programming Interface (APIs) have increasingly become crucial to digital ecosystems, facilitating interconnectivity and data exchange essential for digital transformation and open innovation in today's business landscape. In this article, we introduce a perspective on how APIs can be viewed as a means of achieving a dynamic equilibrium between centralization and decentralization for value creation in business ecosystems.
Accelerators are entrepreneurial programs that attempt to help ventures learn, often utilizing extensive consultation with mentors, program directors, customers, guest speakers, alumni and peers. While accelerators have rapidly emerged as prominent players in the entrepreneurial ecosystem, entrepreneurs, policy makers, and academics continue to raise questions about their efficacy.
Based on earlier taxonomies of group composition models, aggregating data from individual-level responses to operationalize group-level constructs is a common aspect of management research.
We characterize the equilibrium of a complete markets economy with multiple agents featuring a preference for the timing of the resolution of uncertainty. Utilities are defined over an aggregate of two goods.
Determining how best to route work is a key element of service system design. Not surprisingly then, many analytical models have identified various optimal routing algorithms for service operations management. However, in many settings, humans make routing decisions dynamically, either because algorithms don't exist, decision support tools have not been implemented, or existing rules are not enforced.
When modeling economic relationships it is increasingly common to encounter data sampled at different frequencies. We introduce the R package midasr which enables estimating regression models with variables sampled at different frequencies within a MIDAS regression framework put forward in work by Ghysels, Santa-Clara, and Valkanov (2002).
Prior studies attribute analysts' forecast superiority over time-series forecasting models to their access to a large set of firm, industry, and macroeconomic information (an information advantage), which they use to update their forecasts on a daily, weekly or monthly basis (a timing advantage).
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.
The panel invited women scholars to consider how feminist approaches have—and have not—made a difference in economic geography.
This article examines what happens to firms that become affiliated with ‘dealmakers’—individuals who are unusually well connected in local social networks.
Our findings debunk the myth that a ‘continuous improvement culture’ will emerge amongst workers and staff that sustains improvement efforts. The root cause behind backsliding is that sustaining process improvement initiatives involves all levels of the organisation, and that leaders play a pivotal role herein they often neglect. We identify four common failure modes.
Markets today are flooded with an increasing number of products and brands, making it difficult for companies to track how their products compete in the market. In this article, the authors describe how they used clickstream data to visualize competition in product categories containing more than 1,000 products.
The debate surrounding returns of private equity vs. public markets continues with a recent paper by AQR. What do the latest data tell us?
Cardiovascular disease has become a leading cause of death for patients with paraplegia. Acute myocardial infarction in patients with paraplegia has not been described in the literature. This study investigates clinical features, management strategies, and outcomes of these patients.
Private equity firms now manage commitments of nearly US$3.4t globally, up from less than US$500b in 2000, and in a significant shift new capital from private markets has surpassed for capital raised in public markets for the first time ever.
When the federal government, state governments, industry, foundations and nonprofit organizations support scientific research, they do so with the goal of uncovering innovations and advancing science. But what about private donors?