The Struggle is Real: Insights from a Supply Chain Blockchain Case

Despite the anticipated benefits and the numerous announcements of pilot cases, we have seen very few successful implementations of blockchain technology (BCT) solutions in supply chains. Little is empirically known about the obstacles to blockchain adoption, particularly in a supply chain's interorganizational setting. In supply chains, blockchains' benefits, for example, BCT‐based tracking and tracing, are dependent on a critical mass of supply chain actors adopting the technology. While previous research has mainly been conceptual and has lacked both theory and empirical data, we propose a theory‐based model for interorganizational adoption of BCT. We use the proposed model to analyze a unique in‐depth revelatory case study. Our case study confirms previous conceptual work and reveals a paradox as well as several tensions between drivers for and against (positive and negative determining factors, respectively) of BCT adoption that must be managed in an interorganizational setting. In this vertical context, the adoption and integration decision of one supply chain actor recursively affects the adoption and integration decisions of the other supply chain actors. This paper contributes midrange theory on BCT in supply chain management (SCM), future research directions, and managerial insights on BCT adoption in supply chains.     

Legitimation of a heterogeneous market category through covert prototype differentiation

The literature on market category formation provides insufficient insights into how entrepreneurs address the need for collective legitimation of a market category while simultaneously managing tensions between heterogeneous practices. Through a study of the Autism@Work market category, this article shows that covert prototype differentiation constitutes a distinct construct that explains how entrepreneurs in heterogeneous market categories can strengthen category legitimacy while supporting the practices that they perceive as appropriate, without triggering conflicts related to category heterogeneity. The article also provides insights into how market category legitimacy is perceived by entrepreneurs and the antecedents and implications of such perceptions.     

Sustainability among Norwegian maritime firms: Green strategy and innovation as mediators of long-term orientation and emission reduction

This study investigates the relationships between emission reduction, long-term orientation, green strategy, and green innovation among maritime vessel-owning firms of various sizes in the Norwegian maritime sector. A change from the utilization of fossil fuels and move toward more sustainable sources of energy demand substantial financial investments and behavioral changes but are fundamental to preventing further climate change. This study examines the greening of the Norwegian fleet through a structural equation model based upon 246 survey responses. Although our model does not show a significant direct relationship between long-term orientation and emission reductions, we do find that long-term orientation is indirectly related to emission reductions because of its relationships with green strategy and green innovation. Moreover, as mediators, green innovation and green strategy share direct associations with firms' reductions of greenhouse gases and environmentally harmful emissions. Implications for practitioners and policy makers are proposed.     

Regime switching affine processes with applications to finance

We introduce the notion of a regime switching affine process. Informally this is a Markov process that behaves conditionally on each regime as an affine process with specific parameters. To facilitate our analysis, specific restrictions are imposed on these parameters. The regime switches are driven by a Markov chain. We prove that the joint process of the Markov chain and the conditionally affine part is a process with an affine structure on an enlarged state space, conditionally on the starting state of the Markov chain. Like for affine processes, the characteristic function can be expressed in a set of ordinary differential equations that can sometimes be solved analytically. This result unifies several semi-analytical solutions found in the literature for pricing derivatives of specific regime switching processes on smaller state spaces. It also provides a unifying theory that allows us to introduce regime switching to the pricing of many derivatives within the broad class of affine processes. Examples include European options and term structure derivatives with stochastic volatility and default. Essentially, whenever there is a pricing solution based on an affine process, we can extend this to a regime switching affine process without sacrificing the analytical tractability of the affine process.