The objective of our research is to investigate new digital techniques and tools, offering the audience innovative, attractive, enhanced and accessible experiences. The project focuses on performing arts, particularly theatre, aiming at designing, implementing, experimenting and evaluating...

Building on the extensive production of provenance data recently, this article explains how we can expand the purview of computational analysis in humanistic and social sciences by exploring how digital methods can be applied to provenances. Provenances document chains of events of ownership and...

In this paper we quantitatively analyse monetary policy statements of the Reserve Bank of India (RBI) from 1998 to 2017, across the regimes of five governors. We first ask whether the content and focus of the statements have changed with the adoption of inflation-targeting as a framework for...

This article elaborates on the development of a dedicated model of a tacit knowledge transformation for the service department in a manufacturing company. The four main components of the tacit knowledge transformation process are formulated: (1) tacit knowledge source identification, (2) tacit...

Abstract This paper provides an overview of machine learning models, as compared to traditional economic models. It also lays out emerging issues in law and economics that the machine learning methodology raises. In doing so, Asian contexts are considered. Law and economics scholarship has...

Abstract In recent years, numerous studies have been conducted on the phenomenon of dark tourism. This study seeks to understand what motivates people to visit dark tourism sites such as the Chernobyl exclusion zone by applying an automated text analytics approach. Tripadvisor was chosen as a...