Business Process Model And Notation Research Articles

Comparing security levels of postal and Internet voting

ABSTRACT This paper presents a comparison of the security properties of Internet voting and paper-based postal voting. In order to show that, we use the systems comparison methodology that relies on a sequence-of-games approach common in the cryptographic research. We build system models of both of the systems using the Business Process Model and Notation (BPMN), identify possible weaknesses of the the systems and present explicit reductions from the i-voting system to the postal voting system through the intermediate games. Our comparison is based on the example of Estonian IVXV i-voting system and postal voting available for the expatriates. Our reduction shows that the security properties provided by the Estonian i-voting system are stronger than the ones provided by the paper-based postal voting.

Inova Lab Una -Financial Education: Proposal Based on Teaching, Mobile App and Augmented Reality to Raise Awareness and Financial Control

The Brazilian population demonstrates a low level of financial planning, which results in financial problems, unpayable debts, credit restrictions and problems that result in a low quality of life and access to resources. This issue also implies unfeasibility for investments, such as education and professional development. Currently, new laws have been instituted by the Brazilian government, promulgating this approach in basic education. Economics was brought into educational institutions among the cross-cutting themes. This paper aims to present the development of an educational solution of an application for teaching and practicing financial education based on schools. Based on development in mobile solutions, with foundations in financial education and scoring in pedagogical terms, an app with capabilities and information that are weighted by teaching and finance was built. In its implementation methodology, tools such as BPMN (Business Process Model and Notation) and an Adapted Canvas were used to define the project scope. An experimental process with AR (Augmented Reality), for an initial evaluation, connecting a gamified and playful association for the efforts of users to be connected. This first stage of the research aims to academically substantiate and demonstrate the foundations of this solution, which is mainly aimed at Brazilian public education, which is so lacking in investments and accessible tools to optimize the learning of its students.

Post-Publication Review: Evolution of the Scientific Publishing Workflow

For a considerable period of time, peer review has been regarded as the cornerstone of academic journals and scientific communication, ensuring the high quality and reliability of published materials. However, in the early decades of the 21st century, a growing number of scholars began to challenge the traditional peer review procedure, questioning its efficacy. This study aims to provide a fresh perspective on the peer review mechanism, with the objective of enhancing the implementation of scientific communication's functionalities. The research employs historical analysis techniques and modelling methods based on Business Process Model and Notation (BPMN) to compare diverse review models in terms of their influence on scientific communication. BPMN is a conventional tool employed for modelling and describing business processes. The evolution of the peer review procedure is explored, encompassing an examination of the factors contributing to current and future transformations in the publishing realm. The author refers to the crisis of the conventional peer review system and the growing prevalence of preprints, serving as exemplars of these transformations. Finally, suggestions for the implementation of the post-publication review workflow in Russia are provided.

DEVELOPMENT AND RESEARCH OF SOFTWARE SOLUTION FOR BUSINESS PROCESS MODEL CORRECTNESS ANALYSIS USING MACHINE LEARNING

Poorly designed business process models are a source of errors and the subsequent costs associated with these errors, such as monetary costs, lost time, or even some harmful impact on people or the environment if the erroneous business process models are associated with critical industries. The BPM (Business Process Management) lifecycle usually consists of designing, implementing, monitoring, and controlling the business process execution, but it lacks continuous quality control of the created BPMN (Business Process Model and Notation) models. Thus, this paper considers the problem of business process models classification based on their correctness, which solution will ensure quality control of the designed business process models. Thus, this study aims to improve the quality of business process models by developing a software solution for business process models classification based on their correctness. The subject of the study is the process of business process models classification based on their correctness, which uses quality measures and thresholds, usually, complexity measures. The subject of the study is a software solution for business process models classification based on their correctness. Therefore, in this study, the algorithm to solve the problem of BPMN models classification using logistic regression, interface complexity, and modularity measures is proposed, the software requirements are determined, the software development tools are selected, the software for business process models classification based on their correctness is designed, the corresponding software components are developed, the use of a software solution for solving the problem of business process models classification based on their correctness is demonstrated, the obtained results are analyzed and discussed. The developed software indicates high performance of BPMN models classification based on their correctness, achieving high accuracy (99.14 %), precision (99.88 %), recall (99.23 %), and F-score (99.56 %), highlighting the high performance of modeling errors detection.

A methodological framework proposal for managing risk in small-scale farming through the integration of knowledge and data analytics

IntroductionClimate change and weather variability pose significant challenges to small-scale crop production systems, increasing the frequency and intensity of extreme weather events. In this context, data modeling becomes a crucial tool for risk management and promotes producer resilience during losses caused by adverse weather events, particularly within agricultural insurance. However, data modeling requires access to available data representing production system conditions and external risk factors. One of the main problems in the agricultural sector, especially in small-scale farming, is data scarcity, which acts as a barrier to effectively addressing these issues. Data scarcity limits understanding the local-level impacts of climate change and the design of adaptation or mitigation strategies to manage adverse events, directly impacting production system productivity. Integrating knowledge into data modeling is a proposed strategy to address the issue of data scarcity. However, despite different mechanisms for knowledge representation, a methodological framework to integrate knowledge into data modeling is lacking.MethodsThis paper proposes developing a methodological framework (MF) to guide the characterization, extraction, representation, and integration of knowledge into data modeling, supporting the application of data solutions for small farmers. The development of the MF encompasses three phases. The first phase involves identifying the information underlying the MF. To achieve this, elements such as the type of knowledge managed in agriculture, data structure types, knowledge extraction methods, and knowledge representation methods were identified using the systematic review framework proposed by Kitchemhan, considering their limitations and the tools employed. In the second phase of MF construction, the gathered information was utilized to design the process modeling of the MF using the Business Process Model and Notation (BPMN).Finally, in the third phase of MF development, an evaluation was conducted using the expert weighting method.ResultsAs a result, it was possible to theoretically verify that the proposed MF facilitates the integration of knowledge into data models. The MF serves as a foundation for establishing adaptation and mitigation strategies against adverse events stemming from climate variability and change in small-scale production systems, especially under conditions of data scarcity.DiscussionThe developed MF provides a structured approach to managing data scarcity in small-scale farming by effectively integrating knowledge into data modeling processes. This integration enhances the capacity to design and implement robust adaptation and mitigation strategies, thereby improving the resilience and productivity of small-scale crop production systems in the face of climate variability and change. Future research could focus on the practical application of this MF and its impact on small-scale farming practices, further validating its effectiveness and scalability.

Building Digital Twins to Overcome Digitalization Barriers for Automating Construction Site Management

Construction sites are highly unpredictable environments involving a wide variety of stakeholders with complex information exchanges, which lead to the well-known inefficiencies and unproductivity of the construction sector. The adoption of Building Digital Twins (BDT) in the construction site is a promising solution to this issue, by automating data acquisition and knowledge extraction processes and providing what-if scenario simulation capabilities. Furthermore, the current research sets the principles to define, replicate, and scale-up the architecture of a Building Digital Twin Platform (BDTP), conceived as a scalar ecosystem, which allows to seamlessly manage on-site construction processes, integrating cross-cutting domains for the construction site optimization (Progress monitoring, Quality control, Operational Health and Safety, Equipment control, and Production planning). The starting point of the research is a comprehensive diagnosis of on-site process inefficiencies and the barriers to its digitalization leading to the user requirements, which have been underpinned by questionnaires and interviews addressed within an open innovation user-centered approach around Living Labs. The research has been conceived following the Design Science Research (DSR) methodology and based on the Plan-Do-Check-Act (PDCA) analysis for the continuous improvement of the construction process. By means of the adoption of the standard Business Process Model and Notation (BPMN), based on the BDTP architecture, the research has resulted in BPMN workflows stemmed from the Digital Twin (DT) where the DT itself is an actor in a service-oriented data-exchange workflow. Moreover, the use of a BDTP can pave the way for the transition from user-driven construction management to hybrid management, coexisting with both human and digital actors and merging expert knowledge with artificial intelligence techniques.

Analisis dan Pemodelan Proses Bisnis Katering pada UMKM Menggunakan BPMN

Fafiras Kitchen is a family business that focuses on food catering services. This business involves three main operational stages, namely the ordering process, procurement of raw materials, and delivery of products to customers. From the results of observations and interviews, several problems were identified such as the absence of good records in the ordering process resulting in errors in order fulfillment and loss of customer data, dependence on one raw material supplier increases the risk of delays and disruptions in the supply chain and inefficient delivery management caused by human error and no real time tracking, so this has an impact on customer loyalty. This research aims to analyze and model the current business process and provide recommendations for improvement. Modeling is done using Business Process Model and Notation (BPMN) with a qualitative approach to investigate existing business processes. The results of this research can identify areas of improvement to increase the efficiency and effectiveness of MSMEs operations so that MSMEs can better understand, manage, and optimize their business processes. In addition, this research also conducted simulations using the Bizagi Modeler application to test the validity of the business process modeling that has been made. The simulation results show an increase in time in the implementation of business processes.

Research on Smart Contract Verification and Generation Method Based on BPMN

The post-deployment challenges in developing and upgrading blockchain smart contracts necessitate a high level of accuracy in their development and business logic. However, current methodologies for verifying the business logic of smart contracts frequently fail to address their alignment with end-user business requirements. This paper introduces a two-step language transformation process to bridge this gap. Initially, we establish a transformation rule from the Business Process Model and Notation (BPMN) to Prolog, enabling the translation of business processes into a Prolog representation. This step not only validates the business process logic but also ensures it meets user specifications. Subsequently, we introduce a transformation rule from the BPMN to Go, which facilitates the transformation of the BPMN model, once validated, into a Go language smart contract. To enhance usability, we have engineered a dedicated tool that streamlines this transformation process. We present a case study involving a banking loan process to exemplify the utility of our tool in creating BPMN diagrams, conducting requirement and syntax validations, and effecting the transformation to Go smart contracts. The case study and empirical results suggest that our methodology and the accompanying tool mitigate the complexities inherent in smart contract development. They also ensure the fidelity of business logic to user demands, thereby promoting the broader adoption of blockchain smart contract technology.

FHIR Implementation Guide for Stroke: A dual focus on the patient’s clinical pathway and value-based healthcare

BackgroundStroke management requires a coordinated strategy, adhering to clinical pathways (CP) and value-based healthcare (VBHC) principles from onset to rehabilitation. However, the discrepancies between these pathways and actual patient experiences highlight the need for ongoing monitoring and addressing interoperability issues across multiple institutions in stroke care. To address this, the Fast Healthcare Interoperability Resource (FHIR) Implementation Guide (IG) standardizes the information exchange among these systems, considering a specific context of use. ObjectiveDevelop an FHIR IG for stroke care rooted in established stroke CP and VBHC principles. MethodWe represented the stroke patient journey by considering the core stroke CP, the International Consortium for Health Outcomes Measurement (ICHOM) dataset for stroke, and a Brazilian case study using the Business Process Model and Notation (BPMN). Next, we developed a data dictionary that aligns variables with existing FHIR resources and adapts profiling from the Brazilian National Health Data Network (BNHDN). ResultsOur BPMN model encompassed three critical phases that represent the entire patient journey from symptom onset to rehabilitation. The stroke data dictionary included 81 variables, which were expressed as questionnaires, profiles, and extensions. The FHIR IG comprised nine pages: Home, Stroke-CP, Data Dictionary, FHIR, ICHOM, Artifacts, Examples, Downloads, and Security. We developed 96 artifacts, including 7 questionnaires, 27 profiles with corresponding example instances, 3 extensions, 18 value sets, and 14 code systems pertinent to ICHOM outcome measures. ConclusionThe FHIR IG for stroke in this study represents a significant advancement in healthcare interoperability, streamlining the tracking of patient outcomes for quality enhancement, facilitating informed treatment choices, and enabling the development of dashboards to promote collaborative excellence in patient care.

Capacity Planning to Increase Mechanic Availability in After-Sales Service at PT. Elang

After-sales service is critical in selling products such as heavy equipment, which require maintenance from mechanics who understand the product. PT. Elang is one of Indonesia’s heavy equipment distributors and provides service support after purchase. The company currently struggles to manage the mechanics for repair requests from customers. Most of the time, the mechanics are already dispatched for regular maintenance, so repair requests are challenging to respond quickly to because of the unpredictable nature of the case. Complaints and bad reviews on after-sales service lead to lost customers and significant revenue loss. This study aims to identify the gap between current and ideal capacity, look for the root causes through the business process review to find where improvement is needed and provide a suitable solution for the company. The qualitative and quantitative methods were used in this study. The qualitative method was through interviews and discussions with the head of service support and the branch operation head to understand the situation and process. The business process related to the issue was then analysed with Business Process Modeling and Notation (BPMN) and the root cause was found using the Current Reality Tree (CRT) method. The quantitative method was through the sales and capacity data collected from the company. The best alternative solution was selected using the Analytic Hierarchy Process (AHP) using XLSTAT. This study showed that the problem happened because of two root causes: an inadequate number of mechanics and no sufficient integrated system to support the information flow through related divisions. Three alternative solutions were proposed based on the root causes. After the AHP calculation and analysis, the results were confirmed with the head of service support, and it was concluded that the solution that could be implemented in the company is providing service points with a priority result of 71.03%. The next alternative is to implement the cloud ERP system with a result of 15.04% and outsource mechanics with a result of 13.93%. With this solution, the company considered a long-term approach with more sustainability and scalability criteria than ease of implementation. The order of criteria priorities are cost, effectiveness, sustainability, scalability, and ease of implementation, with a consecutive result of 47.87%, 24.3%, 12.64%, 6.6%, and 8.59%.

Not yet another BPM lifecycle: A synthesis of existing approaches using BPMN

ContextBusiness Process Management (BPM) is considered an important management approach that encompasses a set of methods for managing the business processes of an organization. To maximize the benefits of BPM, scholars have conceptualized its steps in schematic diagrams with interrelated phases called BPM lifecycles. As this approach has been established, the phenomenon of perpetual proposition of BPM lifecycles has been observed in relevant literature. This practice obscures what should be relatively straightforward: a consensus among researchers and practitioners regarding the steps that a business process should flow through during its lifecycle. ObjectiveThe aim of this work is to investigate the existing BPM lifecycle models proposed in literature, identify convergences and variations in these models, analyze their core components and locate common patterns that will enable the synthesis of a BPM lifecycle that is conceptualized with Business Process Model and Notation (BPMN), the community de-facto business process modeling notation. MethodTo formalize the research problem and develop the design of a solution, the Design Science Research Process (DSRP) model was adopted. To investigate the perpetual proposition of BPM lifecycles in literature, the authors conducted a Systematic Literature Review (SLR). On whether recurring patterns can emerge from the BPM lifecycles, a normalization process was introduced to homogenize the data and four metrics were used to evaluate the results. The emerging patterns were assembled into a graph that formed the basis for proposing a synthetic BPM lifecycle. ResultsThe outcome of the paper is three-fold: First, the identification of four major inefficiencies of existing BPM lifecycles, namely varying granularity, inconsistent nomenclature, subjective polysemy, and lack of formal conceptualization approaches. Also, a standardized definition of the inclusive steps that exist in the lifecycles by clustering the existing ones in a conceptually systematic manner. Finally, a synthetic BPM lifecycle is conceptualized that systematizes the existing concepts and their interrelations based on a formalized BPMN model in two levels of granularity: a basic version that illustrates the functional and control-flow aspects of the BPM lifecycle and an enhanced version incorporating additionally the resource and data perspectives. ConclusionThis paper proposes a BPMN-based conceptualization of the BPM lifecycle that can facilitate the management of business processes by providing enhanced clarity, improved resource management, and predefined error handling in a BPM initiative. By systematizing the control-flow, data, and resource perspective of the BPM lifecycle, stakeholders can gain a clear understanding of the sequence of steps, the interrelated data flows, and the distribution of work.

The Transformasi Proses Bisnis Produk Asuransi Rangka Kapal di Reasuransi PT. ABC

This research aims to (1) analyze the ongoing H&M insurance business process, (2) identify the root of the problems that hinder the effectiveness of the business process, (3) evaluate underwriting parameters, and (4) design a new business model in PT reinsurance. A B C. The research method used is qualitative analysis involving the Delphi method of seven H&M insurance industry experts who were chosen deliberately. The business model is explained through the Business Process Model and Notation (BPMN). Business process analysis is carried out using root-cause analysis, value-added analysis, waste analysis, and direct weighting analysis to determine the relevance of underwriting parameters. Business transformation is carried out by (1) adding significant risk parameters in the underwriting process, (2) eliminating activities that do not provide added value, (3) increasing risk analysis activities that provide added value to the business acceptance process (underwriting), (4) improving data management through optimizing administration as a data bank and system agent, and (5) implementing pricing rates to maintain stability of rates and premiums. Statistical analysis supports risk assessment and pricing rates to ensure adequate premiums required for further research. In conclusion, a holistic business process transformation accompanied by improved risk analysis and data management is needed to increase the profitability and sustainability of the ship hull insurance industry. Keywords: Ship Hull Insurance, Business Process Management, Business Process Model and Notation (BPMN), Business Process Transformation

T ransforming A utomatically B PMN Models to S mart Contracts with Nested Trade Transactions (TABS+)

Development of blockchain smart contracts is more difficult than mainstream software development because the underlying blockchain infrastructure poses additional complexity. To ease the developer's task of writing smart contract, we use Business Process Model and Notation (BPMN) modeling to describe application requirements for trade of goods and services and then transform automatically the BPMN model into the methods of a smart contract. In our previous research we described our approach and a tool to T ransform A utomatically B PMN models into S mart contracts ( TABS ). In this paper, we describe how the TABS approach is augmented with the support for a BPMN trade transaction that is a collaboration by several actors. Our approach analyzes the BPMN model to determine which patterns in the BPMN model are suitable for use as trade transactions and show those patterns to the developer who decides which ones should be deployed as trade transactions. We describe how our approach automatically transforms the BPMN model into a smart contract that provides a transaction mechanism to enforce the transactional properties of the nested transactions. Our approach greatly reduces the developer's task as synchronization of collaborative activities is provided by our approach, so that the developer needs to code only isolated tasks with well-defined inputs and outputs. We also overview the TABS+ tool we built as a proof of concept to show that our approach is feasible, and we provide estimates on the cost of supporting the nested trade transactions.

Assessment of Usability in Health Referral Queue Systems: A Business Process Model and Nielsen Heuristics Analysis

This paper presents a comprehensive assessment of the usability in health referral queue systems through the lens of a public health management problem. To tackle the challenges encountered in Ibia, Minas Gerais, Brazil, a pioneering solution named the “Fila de Encaminhamento de Especialidades Médicas de Ibiá” (FEEMI) was devised, translating to the “Referral Queue for Medical Specialties in Ibiá” in English. The study involved the modeling of the existing manual health management process using Business Process Model and Notation (BPMN). A comparative analysis between the manual and automated processes revealed a significant reduction in manual tasks, from all 16 to merely 5, including crucial aspects such as medical exams and patient treatment. The FEEMI system successfully automated 10 tasks, streamlining health processes and enhancing overall efficiency. The system underwent rigorous testing, including unit tests and usability assessments based on Nielsen heuristics. The results indicated the robust functionality of the FEEMI system, ensuring error-free execution of critical functionalities and showcasing its resilience in handling potential issues. For patients, the FEEMI system introduces a new paradigm, offering improved quality of life and heightened security in health management processes.

Unveiling Causality in Stateful Enterprise Knowledge Graphs: An Exploration of Process-Driven Object Relationships

The exponential growth of enterprise data generation demands innovative approaches for efficient information management across highly interconnected domains. Particularly, the process of systems engineering involves inhomogeneous data sets requiring a high degree of flexibility and traceability throughout its lifecycle. While structured data resides comfortably in dedicated systems, managing unstructured information within annotations, documents and emails often comes with challenging holistic comprehension of linking, context and revisioning. Graph technology holds promise in establishing adaptable connections among decentralized data sets. However, leveraging graph databases comes with challenges. Schema standardization, crucial for framing complex processes, is a difficult undertaking due to evolving data interrelationships and changing requirements. This paper proposes a two-fold solution. First, we introduce a conceptual schema that decouples stateful object descriptions from its headers and furthermore documents transactions. This allows flexible object associations, conditional state versioning and improved traceability while maintaining manageability. Second, we leverage the Business Process Model and Notation (BPMN) for process design, service orchestration and automated graph manipulations. Through application to the publicly available Northwind data set using neo4j and Flowable BPM, we illustrate our methodology’s efficacy and the seamless integration of type-safer data science into dynamic knowledge graphs, contributing to the future of enterprise data management.

Performance measurement of reading teaching-learning Business Processes: case of whole-word and syllabic reading methods in primary schools

In the educational filed, Key Performance Indicators (KPIs) aim to provide an opportunity to evaluate the performance of em- ployees, teachers’ skills and pedagogy, students’ results, learning objects, educational institutions and teaching-learning methods. In this research work, we focus on studying the performance of reading teaching-learning methods, specifically whole-word and syllabic languages learning methods. More precisely, we propose a Business Process Management (BPM) based approach for per- formance measurement of the corresponding business processes of the both methods. We elaborated the reading teaching-learning business processes using Business Process Model and Notation (BPMN), which is a widely adopted standard for formalizing busi- ness process modeling. We prepared a set of KPI for the different activities and for the whole process. We used these KPIs to gauge the performance of each business process and make comparisons between them. To validate our approach, we launched a dedicated questionnaire to primary school teachers in the third grade. By using this questionnaire, we were able to evaluate the overall perfor- mance of each reading process. Our findings indicate that the whole-word method is the most effective teaching method compared to the other.

A Method for Extracting BPMN Models from Textual Descriptions Using Natural Language Processing

Business Process Model and Notation (BPMN) is a standard for formally modeling complex business processes. Manual creation of BPMN models can be time-consuming and error-prone, prompting a need for automation. Existing approaches, such as rule-based methods, machine learning, and machine translation, have progressed but face accuracy and real-world applicability challenges. In this research paper, we propose a novel method for automated extraction of BPMN models from textual descriptions using natural language processing (NLP) tools and deep learning models, including the spaCy library for text processing, a fine-tuned BERT model, and state-of-the-art large language models like GPT-3.5-Turbo and GPT-4. We utilize Graphviz, an open-source graph visualization software, to visualize the extracted processes. Our method supports representing tasks, exclusive gateways, parallel gateways, and start and end events in the generated BPMN models. The evaluation of 31 textual descriptions shows that our method generates process models with 96% accuracy using GPT-4 and 80% accuracy using GPT-3.5-Turbo large language models. Although subject to certain limitations, such as occasional inaccuracies in model outputs and reliance on well-formed input text, our approach offers a valuable contribution to the growing body of research on automating BPMN model generation.

RegTech Solutions: Generic Business Process Analysis and Modeling

Regulatory Technology, often known as RegTech, is an innovative strategy developed in the finance industry to streamline the regulatory compliance process. RegTech takes advantage of various new technologies such as artificial intelligence (AI), machine learning (ML), big data analytics (BD), cloud computing (CC), robotic process automation (RPA), and various other new technologies. RegTech can be applied to other industries where compliance with and oversight by rules are necessary. To support this, one way to be done is to analyze and model business processes for RegTech solutions in a generic style so that they can be adopted by various other fields in executing these solutions. In this research, a generic business process analysis of RegTech solutions was carried out through a literature study related to the use of RegTech in the financial industry. Next, modeling the analysis results using Business Process Model and Notation (BPMN) with the support of the Bizagi application. The modeling results are then tested for validity and applied to a logical scenario related to non-financial regulatory compliance. The test results show that the business process modeling results are valid and can be used as a reference in implementing RegTech solutions outside the financial sector.

Diseño de una planta para la producción de bolsas oxo biodegradables, en la ciudad de Ocaña, Norte de Santander

This article presents the design of a plant for the production of oxo-biodegradable bags in the city of Ocaña, Norte de Santander, with the aim of reducing the environmental impact generated by plastic bags in the municipality. A market study is conducted to characterize plastic bag consumers and establish demand. In this particular case, customers are focused on the marketplace, retail supermarkets, and plastic bag distribution establishments. Based on customer preferences, the product design (capacity and type of bag) is developed, along with technical specifications and a generic logo. The design of the production process is carried out using the BPMN (Business Process Model and Notation) modeling technique, outlining each phase of production. Simultaneously, a systemic focus matrix is designed, showing the inputs, activities, and outputs of the process. The plant's layout design applies the SLP (System Layout Planning) method, illustrating the arrangement of workstations through the plant floor plan for production, thus observing the flow of materials. For the final design, 3D design software is used to visualize the area, layout, and dimensions of the plant.

Design of sustainable electronic waste management business process transformation towards circular economy transition in Jakarta, Indonesia

E-waste or electronic waste management in developing countries still needs to catch up with developed countries. One of the challenges of electronic waste management in developing countries is its sustainability. Electronic waste management’s sustainability is essential for developing countries’ regional development. One of the promising concepts for developing sustainability for e-waste is the circular economy (CE). However, this requires mapping of e-waste management business processes. There needs to be more research on the business processes of e-waste management in developing countries toward CE transition, for example, Indonesia. Therefore, this research aims to design a business process transformation for sustainable e-waste management in Jakarta, Indonesia. We conducted this research using Business Process Modeling and Notation (BPMN). Our results give a new proposed business process for e-waste management. The new e-waste management business process is expected to improve efficiency and quality. This study will help policymakers and professionals to implement a better e-waste management system, especially in developing countries.