J.F. CYRANSKI and N.S. TZANNES
The Mutual Information Principle (MIP) was proposed as a method of inferring the pdf of a continuous random variable based on discrete observations. Its main disadvantage has been…
Abstract
The Mutual Information Principle (MIP) was proposed as a method of inferring the pdf of a continuous random variable based on discrete observations. Its main disadvantage has been the unavailability of closed form solutions. The purpose of this paper is to present some new, easily obtainable closed form solutions, which are based on a new result in Rate Distortion Theory (RDT). The solutions shed new light on the workings of the MIP, but are not unique. This lack of uniqueness is explained and its effects are discussed.
JOSEPH P. NOONAN and JAMES R. MARCUS
The problem of modelling stochastic systems when only a partial statistical description is available is considered. Specifically, a procedure is proposed for assigning an optimal…
Abstract
The problem of modelling stochastic systems when only a partial statistical description is available is considered. Specifically, a procedure is proposed for assigning an optimal joint probability model relating the input and output of the system where the partial statistical description becomes constraints. The Mutual Information functional is used to establish the model leading to a criteria which is optimal in an information theory sense. Results showing general solutions for cases of interest in digital communications as well as continuous systems with noise variance knowledge are given.
Niccolò Piccioni, Costanza Nosi, Chiara Ottolenghi and Giulia Nevi
The aim of this study is to understand the transformations that the event industry has undergone during the COVID-19 pandemic and what changes still may happen in the future, here…
Abstract
Purpose
The aim of this study is to understand the transformations that the event industry has undergone during the COVID-19 pandemic and what changes still may happen in the future, here according to business event managers.
Design/methodology/approach
Being explorative in nature, the study adopts a qualitative research design based on semi-structured in-depth interviews submitted to a purposive sample of 26 Italian business event agency managers.
Findings
The findings reveal that the pandemic boosted the digital transformation of the event industry, spurring organizers to recraft and execute their business models. Such changes may give rise to important ethical concerns that should be carefully considered by academics, professionals and policymakers.
Research limitations/implications
The research is based on a purposive sample of Italian business event managers. Therefore, in addition to be country-specific, the research includes only a single typology of business event stakeholders.
Originality/value
The article points out possible counterintuitive considerations that may rise related to the ethical issues emerging from the adoption of novel business models in the event industry after the COVID-19 pandemic. The study suggests possible objects of reflection for scholars, event managers and policymakers to plan and organize a more equitable and sustainable business in the future.