In this paper, we propose a binomial approach to modeling sequential R&D investments. More specifically, we present a compound real options approach, simplifying the existing valuation methodology. Based upon the same set of assumptions as prior models, we show that the number of computational steps for valuing any compound option can be reduced to a single step. We demonstrate the applicability of our approach using the real-world example of valuing a new drug application. Overall, our work provides a heuristic framework for fostering the adoption of binomial compound option valuation techniques in R&D management.

With this conceptual paper, we want to raise scholars' awareness of the underused potential of experiments in accounting research. We refer to research taxonomies from the management discipline to explore the role of experimental research in testing and building accounting theory. Although the contribution of laboratory research to testing theory is well acknowledged, we argue that exploratory experimental research efforts also have the potential to build new theory, pointing at the underused potential of experiments in current accounting research. In doing so, we (i) provide a clear understanding of theory building and theory testing in accounting research; (ii) present a guideline for assessing the degree of theory building and theory testing inherent in any (experimental) study. Furthermore, we argue that an inter-study triangulation aligning experimental and archival methodologies will have the potential to produce results that are robust to internal and external validity concerns, thus advancing accounting theory.

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