In this work, we represent complex video activities as one large activity graph and propose a constraint based graph mining technique to discover a partonomy of classes of subgraphs corresponding to event classes. Events are defined as subgraphs of the activity graph that represent what we regard as interesting interactions, that is, where all objects are actively engaged and are characterized ...

Introduction 'We can model the euphoria and the fear stage of the business cycle. Their parameters are quite different. We have never successfully modelled the transition from euphoria to fear.' Quantitative models have been a central part of the story of the present financial crisis. It was the models used in financial markets which provided the basis for an assessment of risk exposure which w...

Abstract Fiscal policy has increasingly become a field of conflict within the federal government in recent months. While coalition agreement provides for compliance with debt brake, investments energy turnaround, and further social family reforms (such as basic child security, care reform, infrastructure investments), financial leeway is being reduced result price crisis interest rate turnaroun...

This paper reflects on the experiences of facilitating and maintaining qualitative research access into a sample of international hotel groups. The existing research methodology literature tends to simplify the access process by explaining it through a number of stages. The fieldwork experience of the authors suggests that the propositions stated in literature are partly relevant; however, ther...

Fraud and misconduct in financial markets have recently become a key regulatory issue against the backdrop of the financial crisis. This paper investigates the sanctions policy and practices of the French financial regulator, Autorité des Marchés Financiers (AMF). It argues that, over time, the AMF has shifted from substantive to procedural regulation of finance. This shift consists in departin...

Bankruptcy is an event with strong impacts on management, shareholders, employees, creditors, customers and other stakeholders, so as bankruptcy challenges the country both socially and economically. Therefore, correct prediction of bankruptcy is of high importance in the financial world. This research intends to investigate financial crisis prediction power using models based on Neural Network...

The global financial crisis has brought exacting times for organizations around the world. Faced with sharp decreases in revenue, companies have experienced IT budget and salary reductions, projects and purchases put on hold, and hiring freezes. While many IT organizations have been collaborating with their business partners to leverage IT to help reduce costs and improve productivity across th...

Because of a large number of customers using social media, firms have embraced social media as a useful communication tool during product-harm crises. However, current knowledge on the relationships between corporate crisis response, customer secondary crisis communication, and customer purchase intention remains limited. Based on an economic view, this study proposes a model to examine how cor...

In this work, we attempt to associate firm characteristics with innovative activity. We collect microdata from listed firms of selected Eurozone Country-members, after the beginning of 2007 financial crisis. The following literature, several indicators of growth and performance were selected and tested for their ability to interpret innovative activity. The main scope is to examine the possible...

We study whether firms spread out debt maturity dates, which we call “granularity of corporate debt.” In our model, firms that are unable to roll over expiring debt need to liquidate assets. If multiple small asset sales are less inefficient than a single large one, it can be optimal to diversify debt rollovers across time. Using a large sample of corporate bond issuers during the 1991–2012 per...