Business rule models are widely applied, standalone and embedded in smart objects. They have become segregated from information technology and they are now a valuable asset in their own right. As more business rule models are becoming assets, business models to monetize these assets are designed. The goal of this work is to present a step towards business model classification for organizations for which its value position is characterized by business rule models. Based on a survey we propose a business model categorization that is aligned to different types of assets and business model archetypes. The results show five main categories of business models: The value adding business rule model, the ‘create me a business rule model’ business model, the KAAS business model, the bait and hook business model and the market place business model.
Author supplied Business rules play a critical role in an organization’s daily activities. With the increased use of business rules (solutions) the interest in modelling guidelines that address the manageability of business rules has increased as well. However, current research on modelling guidelines is mainly based on a theoretical view of modifications that can occur to a business rule set. Research on actual modifications that occur in practice is limited. The goal of this study is to identify modifications that can occur to a business rule set and underlying business rules. To accomplish this goal we conducted a grounded theory study on 229 rules set, as applied from March 2006 till June 2014, by the National Health Service. In total 3495 modifications have been analysed from which we defined eleven modification categories that can occur to a business rule set. The classification provides a framework for the analysis and design of business rules management architectures.
Planning of transport through inland shipping is complex, highly dynamic and very specific. Existing software support is focusing on road transport planning and/or is merely a visual representation of shipments to be manually assigned to particular vessels. As a result inland shipment planning is time-consuming and highly relies on the personal skills of the planner. In this paper we present a business rules based model that aims to further support inland shipping organizations in their shipment planning by identifying the characteristics and constraints that are of interest and the related explicated business rules. The model is derived from transport-related literature, explorative expert interviews and transport management software vendors. The usability and applicability of the model is subsequently successfully empirically tested using identified performance measures through a case study at a major European inland shipping broker
