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“…The focus on negative deviations is in line with the observation that inductive BPM approaches, including process mining, often put a strong focus on "responding to pain points" [20], while the exploration of opportunities is less emphasized. However, research has shown that processes can be improved by learning from positive deviations [23] or experience gained through past executions [9]. We find the tendency to look at negative deviations at the start of the analysis somewhat surprising.…”
Process mining enables organizations to streamline and automate their business processes. The initial phases of process mining projects often include exploration activities aimed to familiarize with the data and understand the process. Despite being a crucial step of many analyses, exploration can be challenging and may demand targeted guidance and support. Still, little attention has been paid to understanding how process analysts approach this exploratory phase. With this goal in mind, in this paper, we report the results of an empirical study investigating exploration practices in process mining. Our study reveals that analysts follow different behavior patterns when exploring event logs and enact various strategies to understand the data and gain new insights. The results remark the need for a deeper understanding of process mining practices and inform future research directions to better support process analysts and explain the cognitive processes underlying the analysis.
“…The focus on negative deviations is in line with the observation that inductive BPM approaches, including process mining, often put a strong focus on "responding to pain points" [20], while the exploration of opportunities is less emphasized. However, research has shown that processes can be improved by learning from positive deviations [23] or experience gained through past executions [9]. We find the tendency to look at negative deviations at the start of the analysis somewhat surprising.…”
Process mining enables organizations to streamline and automate their business processes. The initial phases of process mining projects often include exploration activities aimed to familiarize with the data and understand the process. Despite being a crucial step of many analyses, exploration can be challenging and may demand targeted guidance and support. Still, little attention has been paid to understanding how process analysts approach this exploratory phase. With this goal in mind, in this paper, we report the results of an empirical study investigating exploration practices in process mining. Our study reveals that analysts follow different behavior patterns when exploring event logs and enact various strategies to understand the data and gain new insights. The results remark the need for a deeper understanding of process mining practices and inform future research directions to better support process analysts and explain the cognitive processes underlying the analysis.
“…These approaches are problem-based, in the sense that they aim at improving issues or bottlenecks (Van den Bergh et al , 2014; Grisold et al , 2019) and thus mainly investigate the problem space of processes. As an example, lean management classifies different types of waste to be avoided, while non-value-adding process activities should be eliminated. Imitation-based approaches like benchmarking (König et al , 2019) and positive deviance (Setiawan and Sadiq, 2013) search for superior process designs with the aim to imitate (part of) the process' design, which causes this effective behavior. Pattern-based approaches build on this imitation rationale by abstracting from various real-world examples to sketch out useful and proven solutions. Representatives of this group are best practices of process redesign (Reijers and Liman Mansar, 2005), explorative process design patterns (Rosemann, 2020), customer-centric design patterns (Frank et al , 2020) and the Rethink of Process (RePro) principles (Vanwersch et al , 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Imitation-based approaches like benchmarking (König et al , 2019) and positive deviance (Setiawan and Sadiq, 2013) search for superior process designs with the aim to imitate (part of) the process' design, which causes this effective behavior.…”
PurposeProcess redesign refers to the intentional change of business processes. While process redesign methods provide structure to redesign projects, they provide limited support during the actual creation of to-be processes. More specifically, existing approaches hardly develop an ontological perspective on what can be changed from a process design point of view, and they provide limited procedural guidance on how to derive possible process design alternatives. This paper aims to provide structured guidance during the to-be process creation.Design/methodology/approachUsing design space exploration as a theoretical lens, the authors develop a conceptual model of the design space for business processes, which facilitates the systematic exploration of design alternatives along different dimensions. The authors utilized an established method for taxonomy development for constructing the conceptual model. First, the authors derived design dimensions for business processes and underlying characteristics through a literature review. Second, the authors conducted semi-structured interviews with professional process experts. Third, the authors evaluated their artifact through three real-world applications.FindingsThe authors identified 19 business process design dimensions that are grouped into different layers and specified by underlying characteristics. Guiding questions and illustrative real-world examples help to deploy these design dimensions in practice. Taken together, the design dimensions form the “Business Process Design Space” (BPD-Space).Research limitations/implicationsPractitioners can use the BPD-Space to explore, question and rethink business processes in various respects.Originality/valueThe BPD-Space complements existing approaches by explicating process design dimensions. It abstracts from specific process flows and representations of processes and supports an unconstrained exploration of various alternative process designs.
“…Information systems are the arrangement of people, data, processes, and information (IT) or information technology that interact to collect, process, store, and provide as the output of information needed to support an agency or organization [1]. Meanwhile, according to Laudon and Laudon information systems are interrelated components that work together to collect, process, store, and display information to support decision making, coordination, regulation, analysis, and visualization in an organization [2][3][4][5].…”
The purpose of this research is to analyse the information system that is being implemented to identify the problems faced by Baitul Maal Unisba. The problem faced is the lack of use of documents in documenting the activities carried out, the lack of supervision and control of every process and procedure, and there are no adequate reports to provide accurate information. The method used in this research is descriptive analysis and case studies while the system development method used is system development with the Framework for the Application Development (FAST) method in the form of stages in system development through several phases and activities carried out. The results obtained in this study are the design of a new information system to help Baitul Maal Unisba in solving the problems , namely related to the receipt of zakat funds information systems, zakat fund distribution information systems, financial reporting information systems. The use of a new information system can help carry out operational activities well, then with an integrated system it can solve the problem of recording and calculation that is often done by humans (human error). In addition, Baitul Maal's internal control can be more effective and data security more secure.
Keywords: receiving zakat funds information system, distributing zakat funds information system, financial reporting information systems
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