What is digital business reporting? Why do we need it? And how can we improve it? This book aims to address these questions by illustrating the rise of system-to-system information exchange and the opportunities for improving transparency and accountability. Governments around the world are looking for ways to strengthen transparency and accountability without introducing more red tape, which i…
This edited volume provides a synthesis on the question of business attitudes towards and its influence over the development of the modern welfare state. It gathers leading scholars in the field to offer both in-depth historical country case studies and comparative chapters that discuss contemporary developments. Composed of six archive-based historical narratives of business’ role in the dev…
This chapter analyses risks arising from political phenomena including nationalism. Such “non-market risks” include political as well as natural disasters. Taking an historical perspective, the authors interrogate several key research questions, including: What impact did political risk and nationalism have on global business? Have wars and other conficts caused by national interests and id…
This open access book presents a catalogue of over one thousand indicators which can be used by cities' public administrators to monitor and evaluate social innovation action plans to support people-centred, collaborative or co-designed solutions to lower carbon emissions. Indicators are clustered according to a framework of social innovation solutions for climate neutrality at city level, deve…
The availability of powerful non-invasive neuroimaging techniques has given rise to various studies that aim to map the human brain. These studies focus on not only finding brain activation signatures but also on understanding the overall organization of functional communication in the brain network. Based on the principle that distinct brain regions are functionally connected and continuou…
Machine learning models can automatically discover biomedical research trends and promote the dissemination of information and knowledge. Text feature representation is a critical and challenging task in natural language processing. Most methods of text feature representation are based on word representation. A good representation can capture semantic and structural information.
Why has Argentina suffered so much political and economic instability? How could Argentina, once one of the wealthiest countries in the world, failed to meet its potential over decades? What lessons can we take from Argentina's successes and failures? Argentina’s economy is - irresistibly - fascinating. Argentina's economic history - its crises and its triumphs cannot be explained in purel…
Business processes and information systems evolve constantly and affect each other in non-trivial ways. Aligning security requirements between both is a challenging task. This work presents an automated approach to extract access control requirements from business processes with the purpose of transforming them into a) access permissions for role-based access control and b) architectural data f…
Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety o…
Modern economics has, at its foundation, scholarly contributions from many prominent Scottish thinkers. This revealing work examines the roots of this great tradition, places in perspective a selection of authors, and assesses their contribution over three centuries in the light of a distinctive Scottish approach to economics. Scottish Enlightenment is an established area of research interest, …