to study art, sociologists have so far related it either to the economic base of the artistic product or to the artist's ideology or world-view or the class structure of the audience and art consumers. the importance of none of these factors could be denied; however, what is more important is the relation between these factors, the complex network of political, economic and social relations tha...

A carbon-based industry, such as oil refinery, needs to change its business model to achieve a green business. Considering the existing too much data, the modeling procedure is complex. Therefore, combination of the Fuzzy Delphi method and System Dynamics can be considered to cover this complexity. The starting point in this work is literature review of prior studies on the same common topic an...

The state-of-the-art in the area of modelling of organisations is based on fixed metamodels. Due to rapid changing business requirements the complexity in developing applications which deliver business solutions is continually growing. To manage this complexity, environments providing flexible metamodelling capabilities instead of fixed metamodels has shown to be helpful. The main characteristi...

Enterprises express the concepts of their electronic business-to-business (B2B) communication in individual ontology-like schemas. Collaborations require merging schemas’ common concepts into Business Entities (BEs) in a Canonical Data Model (CDM). Although consistent, automatic schema merging is state of the art, the task of labeling the BEs with descriptive, yet short and unique names, remain...

User generated ratings have a profound effect on the success of a business on popular websites like Yelp. While a particular business may have an averaged rating associated to it, it doesn’t necessarily abide by the tastes of all users. Although some users may find the business particularly outstanding, it might not cater to another user’s tastes. Besides being related to user preferences, such...

Businesses are increasingly interested in how big data, artificial intelligence, machine learning, and predictive analytics can be used to increase revenue, lower costs, and improve their business processes. In this paper, we describe how we have developed a data-driven machine learning method to optimize the collection process for a debt collection agency. Precisely speaking, we create a frame...

Automotive Aftermarket participants face unique challenges resulting from • Independence of wholesale distributors (WDs), jobbers, and shops • Different business automation software systems used by the participants • Lack of Internet readiness for the systems in use today • Closed business practices of some system vendors • Lack of vendor cooperation on inter-vendor system connectivity CarParts...

Image localization is important for marketing and recommendation of local business; however, the level of granularity is still a critical issue. Given a consumer photo and its rough GPS information, we are interested in extracting the fine-grained location information, i.e. business venues, of the image. To this end, we propose a novel framework for business venue recognition. The framework mai...