Knowledge mobilization: Stepping into interdependent and relational space using co-creation

Converting IT-Enabled Customer Power into Relational Value of IT-Enabled Co-Creation

Information technology, especially social media, has fundamentally changed the way of firm-customer interactions and has shifted more power to customers. Although an increasing number of firms are aware of increased customer power and the importance of co-creation, how to convert customer power into value of co-creation is unclear. In order to fill this gap in the literature, drawing on social ...

Incorporating Relational Knowledge into Word Representations using Subspace Regularization

Incorporating lexical knowledge from semantic resources (e.g., WordNet ) has been shown to improve the quality of distributed word representations. This knowledge often comes in the form of relational triplets (x, r, y) where words x and y are connected by a relation type r. Existing methods either ignore the relation types, essentially treating the word pairs as generic related words, or emplo...

Option Valuation using Fourier Space Time Stepping

It is well known that the Black-Scholes-Merton model suffers from several deficiencies. Jumpdiffusion and Lévy models have been widely used to partially alleviate some of the biases inherent in this classical model. Unfortunately, the resulting pricing problem requires solving a more difficult partial-integro differential equation (PIDE) and although several approaches for solving the PIDE have...

Pricing using Fourier Space Time - stepping Framework

Integrating Ontological Prior Knowledge into Relational Learning

Ontologies represent an important source of prior information which lends itself to the integration into statistical modeling. This paper discusses approaches towards employing ontological knowledge for relational learning. Our analysis is based on the IHRM model that performs relational learning by including latent variables that can be interpreted as cluster variables of the entities in the d...