Purpose: To facilitate the design of viable business models by proposing a novel business model design framework for viability. Design: A design science research method is adopted to develop a business model design framework for viability. The business model design framework for viability is demonstrated by using it to design a business model for an energy enterprise. The aforementioned framework is validated in theory by using expert opinion. Findings: It is difficult to design viable business models because of the changing market conditions, and competing interests of stakeholders in a business ecosystem setting. Although the literature on business models provides guidance on designing viable business models, the languages (business model ontologies) used to design business models largely ignore such guidelines. Therefore, we propose a business model design framework for viability to overcome the identified shortcomings. The theoretical validation of the business model design framework for viability indicates that it is able to successfully bridge the identified shortcomings, and it is able to facilitate the design of viable business models. Moreover, the validation of the framework in practice is currently underway. Originality / value: Several business model ontologies are used to conceptualise and evaluate business models. However, their rote application will not lead to viable business models, because they largely ignore vital design elements, such as design principles, configuration techniques, business rules, design choices, and assumptions. Therefore, we propose and validate a novel business model design framework for viability that overcomes the aforementioned shortcomings.
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The main question in this PhD thesis is: How can Business Rules Management be configured and valued in organizations? A BRM problem space framework is proposed, existing of service systems, as a solution to the BRM problems. In total 94 vendor documents and approximately 32 hours of semi-structured interviews were analyzed. This analysis revealed nine individual service systems, in casu elicitation, design, verification, validation, deployment, execution, monitor, audit, and version. In the second part of this dissertation, BRM is positioned in relation to BPM (Business Process Management) by means of a literature study. An extension study was conducted: a qualitative study on a list of business rules formulated by a consulting organization based on the Committee of Sponsoring Organizations of the Treadway Commission risk framework. (from the summary of the Thesis p. 165)
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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.
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The BMT provides the building blocks to develop a logic for a business model. In such a model the nature of value creation, how value creation is organized, and how transactions are taking shape are operationalized so that they meet the proposition. Practice shows that at present business models aimed at capturing multiple value creation can be divided into three major categories: (1) platform business models, (2) community-based (or collective) business models, and (3) circular business models. The three archetypes differ mainly in the way in which they create value, as well as the objective, the mechanism through which value creation takes place, and the infrastructural and technological requirements. When using the BMT, it is useful to consider at an early stage which business model archetype is dominant in the realization of the intended value proposition. Choosing a business model archetype might look straightforward, but it can be quite a tricky task.
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The key role of Restructing Agencies in achieving high private investments and creating employment. Effective revitalization leads to economically vital and future proof industrial parks. This short paper tells how revitalization can be effectively performed. Preliminary results are presented of a four year study of the Restructuring Agency of Overijssel, active in revitalization in the Province of Overijssel in the Netherlands. The study identifies, presents and reflects on the effectiveness of working methods used by the restructuring agency in seven revitalization projects of industrial parks. The value of continuously focusing on willingness to invest is identified as a key working method and success factor. Other working methods illustrate the importance and effectiveness of goal-oriented choices that aim at snowball effects, the use of dynamic opportunity maps, choosing own role based on complementarity, always developing business cases that contribute to value cases, and managing the important relationship between effective working methods and capability of individuals and organizations. Ongoing research aims at further underpinning provisional conclusions about the use and effectiveness of working methods, and the development of a toolbox for practitioners that will contain and integrate capability profiles, working methods, and the related change management approach.
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Decisions and business rules are essential Components of an organization. Combined, these components form a basis for securing the implementation of new laws, regulations and internal policies into processes, work instructions and information systems. To ensure proper implementation, business rule types must be taken into account, as the functions per type may be different. The current body of knowledge on decision and business rule management offers some insights into different types of business rules, however, these types are often presented as a secondary focus of a contribution or set in stone without proper evidence supporting these claims. This study therefore aims to explore the different business rule types utilized in the body of knowledge as well as practice. This will form a basis to determine possible overlap and inconsistencies and aid in establishing the functional differences between the defined business rule types. By applying a literature review, semi-structured interviews and secondary data analysis, we observed that the current body of knowledge shows serious diffusion with regards to business rule types, the same holds for practice. Therefore, future research should focus to research these differences in detail with the aim to harmonize the proliferation of business rule types.
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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
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Business decisions and business logic are an important part of an organization’s daily activities. In the not so near past they were modelled as integrative part of business processes, however, during the last years, they are managed as a separate entity. Still, decisions and underlying business logic often remain a black box. Therefore, the call for transparency increases. Current theory does not provide a measurable and quantitative way to measure transparency for business decisions. This paper extends the understanding of different views on transparency with regards to business decisions and underlying business logic and presents a framework including Key Transparency Indicators (KTI) to measure the transparency of business decisions and business logic. The framework is validated by means of an experiment using case study data. Results show that the framework and KTI’s are useful to measure transparency. Further research will focus on further refinement of the measurements as well as further validation of the current measurements.
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The traditional energy industry is transitioning from a centralised fossil fuel based industry to a decentralised renewable energy industry for several reasons including climate change, policy, and changing customer needs. Furthermore, renewable sources, such as wind and solar, are intermittent and unpredictable. This has implications for the business models of energy producers, such as increased mismatch between demand and supply, increased price volatility, shift in drivers of value creation. Due to the low marginal cost of production and the intermittent nature of renewables, the price volatility on the electricity markets, in particular the imbalance market, are expected to increase. However, there is potential for market parties operating in the electricity sector to profit from this development by providing flexibility to balance electricity supply and demand. Therefore, new business models are needed that can harness and exploit flexibility in a viable manner. In these business models, flexibility becomes the key driver of value creation.
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From the article: With increasing investments in business rules management (BRM), organizations are searching for ways to value and benchmark their processes to elicitate, design, accept, deploy and execute business rules. To realize valuation and benchmarking of previously mentioned processes, organizations must be aware that performance measurement is essential, and of equal importance, which performance indicators to apply to the performance measurement processes. However, scientific research on BRM, in general, is limited and research that focuses on BRM in combination with performance indicators is nascent. The purpose of this paper is to define performance indicators for previously mentioned BRM processes. We conducted a three round focus group and three round Delphi Study which led to the identification of 14 performance indicators. Presented results provide a grounded basis from which further, empirical, research on performance indicators for BRM can be explored.
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