Field research has shown that companies are investing in blockchain technology for their supply chains in order to benefit from enhanced visibility, but face challenges in creating partnerships with other firms in their supply chain, some of whom could be competitors, under uncertainty about...

Problem definition: This paper provides a theoretical investigation into the value and design of traceability-driven blockchains under different supply chain structures. Methodology/results: We use game theory to study the quality contracting equilibrium between one buyer and two suppliers and...

Group-level variance estimates of zero often arise when fitting multilevel or hierarchical linear models, especially when the number of groups is small. For situations where zero variances are implausible a priori, we propose a maximum penalized likelihood approach to avoid such boundary...

When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix (Σ) of group-level varying...

In this paper we consider a multidimensional renewal risk model with regularly varying claims. This model may be used to describe the surplus of an insurance company possessing several lines of business where a large claim possibly puts multiple lines in a risky condition. Conditional on the...

Within the framework of prospect theory, this paper considers a decision-maker who wishes to maximize an audience's experienced utility under three different settings. First, we investigate the problem of simultaneous vs. sequential release of a series such as songs or TV episodes, where the...

Problem definition: The success of a gig platform is crucially driven by its ability to retain service providers. However, gig workers are independent contractors whose working schedules are not fully controlled by the platform. To overcome this challenge, gig platforms have commonly relied on...

Problem definition: This paper provides a theoretical investigation into the value and design of traceability-driven blockchains under different supply chain structures. Methodology/results: We use game theory to study the quality contracting equilibrium between one buyer and two suppliers and...

Diagnostic classification tests are designed to assess examinees’ discrete mastery status on a set of skills or attributes. Such tests have gained increasing attention in educational and psychological measurement. We review diagnostic classification models and their applications to testing and...