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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Since an increasing amount of business decision/logic management solutions are utilized, organizations search for guidance to design such solutions. An important aspect of such a solution is the ability to guard the quality of the specified or modified business decisions and underlying business logic to ensure logical soundness. This particular capability is referred to as verification. As an increasing amount of organizations adopt the new Decision Management and Notation (DMN) standard, introduced in September 2015, it is essential that organizations are able to guard the logical soundness of their business decisions and business logic with the help of certain verification capabilities. However, the current knowledge base regarding verification as a capability is not yet researched in relation to the new DMN standard. In this paper, we re-address and - present our earlier work on the identification of 28 verification capabilities applied by the Dutch government [1]. Yet, we extended the previous research with more detailed descriptions of the related literature, findings, and results, which provide a grounded basis from which further, empirical, research on verification capabilities with regards to business decisions and business logic can be explored.
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A transition from a linear economy to a more sustainable and circular economy requires different business models. In this chapter, we provide you with an introduction to the nature and logic of business models. In essence, a business model is a description of how value creation between parties or partners is organized, at a particular moment, in a specific context, and given available resources. Conventional business modelling approaches have several weaknesses---the main point of criticism being their focus on creating financial value. With the Business Model Template (BMT), we try to resolve most of these criticisms. To do so we introduce three archetypal business models: the platform, community, and circular economy business models. This chapter provides an overview on how, over three stages and ten building blocks that together make up the Business Model Template, these archetypal business models will be used.
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Business decisions and business logic are important organizational assets. As transparency is becoming an increasingly important aspect for organizations, business decisions and underlying business logic, i.e., their business rules, must be implemented, in information systems, in such a way that transparency is guaranteed as much as possible. Based on previous research, in this study, we aim to identify how current design principles for business rules management add value in terms of transparency. To do so, a recently published transparency framework is decomposed into criteria, which are evaluated against the current business rules management principles. This evaluation revealed that eight out of twenty-two design principles do not add value to transparency, which should be taken into account when the goal of an organization is to increase transparency. Future research should focus on how to implement the design principles that add to transparency.
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This paper seeks to make a contribution to business model experimentation for sustainability by putting forward a relatively simple tool. This tool calculates the financial and sustainability impact based on the SDG’s of a newly proposed business model (BM). BM experimentation is described by Bocken et al. (2019) as an iterative-multi-actor experimentation process. At the final experimentation phases some form of sustainability measurement will be necessary in order to validate if the new proposed business model will be achieving the aims set in the project. Despite the plethora of tools, research indicates that tools that fit needs and expectations are scarce, lack the specific focus on sustainable BM innovation, or may be too complex and demanding in terms of time commitment (Bocken, Strupeit, Whalen, & Nußholz, 2019a). In this abstract we address this gap, or current inability of calculating the financial and sustainability effect of a proposed sustainable BM in an integrated, time effective manner. By offering a practical tool that allows for this calculation, we aim to answer the research question; “How can the expected financial and sustainability impact of BMs be forecasted within the framework of BM experimentation?
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We aim to understand the interaction between shifting organizational field logics and field actors’ responses to reconcile logic plurality and maintain legitimacy through business model innovation. Drawing on a multimethod, longitudinal field study in the fashion industry, we traced how de novo and incumbent firms integrate circular logics in business models (for sustainability) and uncover how productive tensions in field logics lead to experimental spaces for business model innovation. Our findings showed a shift in the discourse on circular logic that diverted attention and resources from materials innovation (e.g. recycling) to business model innovation (e.g. circular business models). By juxtaposing the degree of field logic tension and the degree of business model innovation, we derive four types of business model hybridization responses that actors engaged in to maintain legitimacy – constrained, limited, integrated, and expanded. Our study generates new insights on business models for sustainability as vehicles for organizational field change.
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We aim to understand the interaction between shifting organizational field logics and field actors’ responses to reconcile logic plurality and maintain legitimacy through business model innovation. Drawing on a multimethod, longitudinal field study in the fashion industry, we traced how de novo and incumbent firms integrate circular logics in business models (for sustainability) and uncover how productive tensions in field logics lead to experimental spaces for business model innovation. Our findings showed a shift in the discourse on circular logic that diverted attention and resources from materials innovation (e.g. recycling) to business model innovation (e.g. circular business models). By juxtaposing the degree of field logic tension and the degree of business model innovation, we derive four types of business model hybridization responses that actors engaged in to maintain legitimacy – constrained, limited, integrated, and expanded. Our study generates new insights on business models for sustainability as vehicles for organizational field change. We make novel contributions to the literatures on organizational fields, business models for sustainability and business model innovation.
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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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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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Business Rule Management (BRM) is a means to make decision-making within organizations explicit and manageable. BRM functions within the context of an Enterprise Architecture (EA). The aim of EA is to enable the organization to achieve its strategic goals. Ideally, BRM and EA should be well aligned. This paper explores through study of case study documentation the BRM design choices that relate to EA and hence might influence the organizations ability to achieve a digital business strategy. We translate this exploration into five propositions relating BRM design choices to EA characteristics.
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