Identifying Challenges in Business Rules Management Implementations regarding the Elicitation, Design, and Specification Capabilities at Dutch Governmental Institutions

Proper decision making represent one of an organization’s most important capabilities. To manage decisions and underlying business rules, an increasing number of organizations have begun to use business rules management (BRM). However, given BRM research’s and practice’s nascence, we need to more deeply understand the challenges in implementing BRM capabilities. As such, from collecting and analyzing two three-round focus groups and two three-round Delphi studies, we identified 28 main challenges that five Dutch governmental institutions experienced in eliciting, designing, and specifying business rules. We also discuss directions for future research

Identifying Challenges in BRM Implementations Regarding the Verification and Validation Capabilities at Governmental Institutions

Since an increasing amount of business rules management solutions are utilized, organizations search for guidance to design such solutions. As the amount of BRMS-implementations increase, the amount of implementation challenges experienced in practice increase as well. Therefore, it is of importance to gain insights into these implementation challenges which can help guide future implementations of BRMS. Smit, Zoet and Versendaal (2017) described the challenges regarding elicitation, design and specification of business decisions and business logic; in this study, we identify the main challenges regarding 1) the verification and 2) validation of business decisions and business logic in the Dutch governmental context. Building on the collection and the analysis of two three-round focus groups and two three-round Delphi studies we report on the 17 challenges experienced by the participants. The presented results provide a grounded basis from which empirical and practical research on best practices can be further explored

Identifying Challenges in Business Rules Management Implementations Regarding the Governance Capability at Governmental Institutions

As the number of BRMS-implementations increases, more and more organizations search for guidance to design such solutions. Given these premises, more implementation challenges experienced from practice become evident. In this study, we identify the main challenges regarding the governance capability as part of BRM, in the Dutch governmental context. To be able to do so, we utilized a four-round focus group and a three-round Delphi study set-up to collect our data. The analysis resulted in eight implementation challenges experienced by the participants. The presented results provide a grounded basis from which empirical and practical research on best practices can be further explored

Business Rules Management and Decision Mining - Filling in the Gaps

Proper decision-making is one of the most important capabilities of an organization. Adequately managing these decisions is therefore of high importance. Business Rules Management (BRM) is an approach that helps in managing decisions and underlying business logic. However, questions still arise if the decisions are properly improved based on decision data. Decision Mining (DM) could complement BRM capabilities in order to improve towards effective and efficient decision-making. In this study, we propose the integration of BRM and DM through a simulation using a government and a healthcare case. During this simulation, three entry points are presented that describe how decision-related data should be utilized between BRM capabilities and DM phases to be able to integrate them. The presented results provide a basis from which more technical research on the three DM phases can be further explored

Responsible AI and Power: Investigating the System Level Bureaucrat in the Legal Planning Process

Numerous statements and pamphlets indicate that governments should increase the transparency of ICT-implementations and algorithms in eGovernment services and should encourage democratic control. This paper presents research among civil servants, suppliers and experts who play a role in the automation of spatial policymaking and planning (e.g. environment, building, sound and CO2 regulation, mobility). The case is a major digitalisation programme of that spatial planning in the Netherlands. In this digital transition, the research assumption is that public and political values such as transparency, legitimacy and (perceived) fairness are difficult to validate in the practice of the design process; policy makers tend to lose sight of the algorithms and decision trees designed during the ICT -implementation of eGovernment services. This situation would implicate a power shift towards the system level bureaucrat. i.e., the digitized execution of laws and regulations, thereby threatening democratic control. This also sets the stage for anxiety towards ICT projects and digital bureaucracies. We have investigated perceptions about ‘validation dark spots’ in the design process of the national planning platform that create unintended shifts in decision power in the context of the legal planning process. To identify these validation dark spots, 22 stakeholders were interviewed. The results partially confirm the assumption. Based on the collected data, nine validation dark spots are identified that require more attention and research

The Decision Transparency Framework: A framework and key transparency indicators to measure the business decisions and business logic transparency

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 measurement

Special Issue Editorial: Enterprise Systems Frontiers

Issue editorial

Emergent Behaviors in a Resilient Logistics Supply Chain

This PhD dissertation addresses vulnerabilities in logistics supply chains, such as disruptions from pandemics, natural disasters, and geopolitical tensions. It underscores the complexity of supply chains, likening them to socio-technical systems where resilience is key for managing unexpected events and thriving amidst adversity. The focus is on leveraging smart business objects—exemplified by “smart pallets” with sensing and computational capabilities—to augment real-time decision-making and resilience in supply chains. When strategically positioned within the supply network, these smart pallets can provide key insights into the movement of goods, enabling a rapid response to disruptions through real-time monitoring and predictive analytics. The dissertation investigates centralized, decentralized, and hybrid approaches to decision-making within these networks. Centralized methods ensure uniformity but may neglect local specifics, while decentralized ones offer adaptability at the risk of inconsistency. A hybrid model seeks to balance these extremes, combining broad guidelines with local autonomy for optimal resilience. This research aims to explore how such smart objects can anticipate and react to emergent behaviors, thereby augmenting supply chain resilience beyond mere performance indicators to actively managing and adapting to disruptions. Through various chapters, the dissertation offers an exploration, from designing resilient architectures and evaluating business rules in real-time to mining these rules from data and adapting them to evolving circumstances. Overall, this work presents a nuanced view of resilience in supply chains, emphasizing the adaptability of business rules, the importance of technological evolution alongside organizational practices, and the potential of integrating novel techniques such as process mining with multi-agent systems for better decision-making and operational efficiency

A Model for Emergency Service of VoIP through Certification and Labeling

Voice over Internet Protocol (VoIP) will transform many aspects of traditional telephony service, including the technology, the business models, and the regulatory constructs that govern such service. Perhaps not unexpectedly, this transformation is generating a host of technical, business, social, and policy problems. In attempting to respond to these problems, the Federal Communications Commission (FCC) could mandate obligations or specific solutions to VoIP policy issues; however, it is instead looking first to industry initiatives focused on the key functionality that users have come to expect of telecommunications services. High among this list of desired functionality is user access to emergency services for purposes of summoning fire, medical, and law enforcement agencies. Such services were traditionally required to be implemented (and subsequently were implemented) through state and federal regulations. An emergency service capability is a critical social concern, making it particularly important for the industry to propose viable solutions for promoting VoIP emergency services before regulators are compelled to mandate a solution. Reproducing emergency services in the VoIP space has proven to be a considerable task, mainly due to the wide and diverse variety of VoIP implementations and implementers. While technical and business communities have, in fact, made considerable progress in this area, significant uncertainty and deployment problems still exist. The question we ask is this: Can an industry-based certification and labeling process credibly address social and policy expectations regarding emergency services and VoIP, thus avoiding the need for government regulation at this critical time? We hypothesize that the answer is “yes.” In answering this question, we developed a model for VoIP emergency service compliance through industry certification and device labeling. This model is intended to support a wide range of emergency service implementations while providing users with sufficient verification that the service will operate as anticipated. To this end, we first examine possible technical implementations for VoIP emergency services. Next, we summarize the theory of certification as self-regulation and examine several relevant examples. Finally, we synthesize a specific model for certification of VoIP emergency services. We believe that the model we describe provides both short-term and long-term opportunities. In the short term, an industry-driven effort to solve the current problem of VoIP emergency services, if properly structured and overseen as we suggest, should be both effective and efficient. In the long term, such a process can serve as a self-regulatory model that can be applied to social policy goals in the telecommunications industry, making it an important tool to have as the industry becomes increasingly diverse and heterogeneous

The Once-Only Principle

This open access State-of-the-Art Survey describes and documents the developments and results of the Once-Only Principle Project (TOOP). The Once-Only Principle (OOP) is part of the seven underlying principles of the eGovernment Action Plan 2016-2020. It aims to make the government more effective and to reduce administrative burdens by asking citizens and companies to provide certain standard information to the public authorities only once. The project was horizontal and policy-driven with the aim of showing that the implementation of OOP in a cross-border and cross-sector setting is feasible. The book summarizes the results of the project from policy, organizational, architectural, and technical points of view