The design of the Blibli for Business Insight Day campaign focuses on analyzing the implementation of digital marketing strategies through a creative and strategic design approach. This study employs the STP (Segmentation, Targeting, and Positioning) framework, Design Thinking, and the Multimedia Development Life Cycle (MDLC) method to create effective B2B marketing materials. The campaign was developed through active participation, observation, interviews, and a comprehensive literature review. It aims to produce content that resonates with the target B2B audience by integrating design thinking with marketing strategies. The research highlights how the combination of design and marketing strategies helps strengthen the audience’s understanding of the value of the solution and the reliability of the product. Furthermore, the campaign supports business decision-making processes by delivering educational visual media. The primary goal of the campaign is not only to promote Apple products but also to educate companies on the operational efficiency of utilizing Apple products in their business processes, showcasing their benefits for long-term business success.

Investigating students’ learning effectiveness and success on business process analysis via mobile games: A formative assessment perspective

Semantic comparison of business process models assisted by syntactic matching

ABSTRACT In industrial, healthcare, and business processes, numerous quality characteristics are matched pairs. These characteristics help to identify anomalies, trends, and patterns that enable better decisions and process optimization. In process monitoring, the control chart is an effective tool for detecting unusual changes in the process parameters. The cumulative sum (CUSUM) and Shewhart charts are considered efficient, respectively, for detecting small and large shifts in the understudy process. The CUSUM and combined Shewhart-CUSUM (CSC) schemes are developed in this study to monitor the location parameter of the differences of paired processes. For the assessment of the proposed CUSUM and CSC charts, the run-length metric is used, which is produced by developing an algorithm in the R language. The conditional and unconditional run length distributions of the proposals are evaluated. The performance of the proposed charts is compared with some well-known existing schemes, and the comparative study shows that the proposed schemes perform uniformly better than their existing counterparts. Moreover, the estimation effect is also evaluated on the performance of the proposed schemes. A practical application related to the continuous stirred-tank reactor (CSTR) process, along with a hypothetical example of the proposed charts, is also provided to implement the proposed designs for the concerns of practitioners.

The development of information technology in the digital era provides a great opportunity for business actors to improve service quality, operational efficiency, and expand marketing reach through the use of e-commerce platforms. However, Bakso Koko as a culinary business still uses a conventional ordering and payment system, which often causes various obstacles such as slow service processes, a high risk of transaction recording errors, difficulties in managing order data, and limitations in reaching a wider customer base. These problems indicate the need for a more effective, integrated, and easily accessible system for customers. This study aims to design and build an Android-based Bakso Koko e-commerce application integrated with a payment gateway so that the ordering and payment process can be carried out online more easily, quickly, safely, and efficiently. The system development method used in this study is the Waterfall method which includes the stages of requirements analysis, system design, implementation, testing, and maintenance. The analysis technique used is system requirements analysis through observation and interviews to understand the ongoing business process, then modeled using the Unified Modeling Language (UML) in the form of use case diagrams and activity diagrams. The research results show that the application was successfully designed and built with user registration, a product catalog, a shopping cart, ordering, online payment, order status tracking, and integrated product and transaction data management. This system is expected to improve service efficiency, transaction efficiency, and expand the business's marketing reach.

Purpose This study evaluates, from a business process management (BPM) perspective, four reverse logistics (RL) strategies (Lockers, Click & Collect, Microhubs and 3PL) once product returns are authorized. It addresses the critical first-stage decision – home collection vs designated drop-off – while explicitly analyzing the detrimental impact of failed collection attempts due to customer absence on urban logistics efficiency, aiming to enhance the business performance of e-commerce retailers and logistics providers. Design/methodology/approach A decision support framework is developed, applying the technique for order preference by similarity to ideal solution to assess each strategy and a simulation of 1,000 product return scenarios is conducted. The methodology incorporates a robust sensitivity analysis modeling varying rates of failed first-time collections, quantifying their effect on cost, cycle time, CO2 emissions and expected customer utility. Findings Baseline results identify Urban Microhubs as the most balanced strategy. However, sensitivity analysis reveals that as failed collections increase, the efficiency of attended strategies (3PL and Urban Microhubs) degrades significantly due to re-attempt costs. This shifts the strategic preference toward unattended strategies like lockers. Originality/value The study offers original value by integrating operational, environmental and customer-focused metrics into a unified framework for evaluating RL scenarios. Its multidimensional comparison of the four strategies provides novel insights that advance theory and guide the design of more efficient and sustainable return strategies, enabling e-commerce and logistics operators to adopt differentiated policy profiles (cost-driven or green-driven). Ultimately, the primary value of this research resides in providing a structured methodology to analyze complex operational scenarios. Additionally, the explicit modeling of failed collections provides novel insights that advance BPM theory, empowering context-specific managerial decision-making.

There is a regulation regarding oil and gas business activities that includes criminal sanctions is Law Number 22 of 2001 concerning Oil and Gas as amended by Law Number 11 of 2020 concerning Job Creation in conjunction with Law Number 6 of 2023 concerning the Preparation of Work and Budget Plans. Which explicitly regulates that every downstream business activity, including transportation, storage, trade, and processing, must have government permission, and that the trade in subsidized fuel can only be conducted by businesses with a trade license. Violations of these provisions are subject to criminal sanctions, indicating that the state takes the misuse of subsidized fuel management and distribution seriously. Although the law has prohibited and threatened heavy penalties and a regulatory framework is available, in reality, many people still engage in the misuse of transportation and trade licenses for subsidized diesel fuel. The purpose of this research is to explain the application of criminal penalties against subsidized solar traders without a business license in court rulings. The research method used is empirical juridical, which is legal research conducted by examining legal events in the field. The research results show that the application of criminal penalties against subsidized diesel traders without a business license in the court decisions reviewed reflects the state's commitment to protecting public interests, securing state finances, and creating order in the subsidized fuel distribution system. However, the effectiveness of criminal penalties as an instrument of law enforcement will only be optimally achieved if it is balanced with consistency in the imposition of sanctions, strengthening the supervision of subsidized fuel distribution in the field, and the continuous enhancement of public legal awareness.

Purpose Digital transformation is crucial for optimizing firms' business process management (BPM), yet few studies have examined it from a digital BPM lifecycle perspective. This study investigates whether and how technological competition affects the alignment between strategic commitment and actual actions across the digital BPM lifecycle. Design/methodology/approach We construct a digital decoupling measure by capturing the gap between firms' digital commitment and actions using text analysis. We then use panel data of Chinese listed companies from 2012 to 2023 to test the proposed relationships. Findings We find that technological peer pressure positively influences firms' digital decoupling behavior, with managerial myopia and market share loss acting as mediating factors. The moderating results show that patient capital weakens the positive effect of technological peer pressure on digital decoupling. Heterogeneity analyses further indicate that this effect is more pronounced among firms with weaker BPM capability and higher business process complexity. Originality/value This study conceptualizes digital decoupling from a digital BPM lifecycle perspective. It extends research on firms' digital behavior under competitive pressure, the determinants of digital BPM capability development, and the assessment framework for digital BPM capability. The findings offer actionable guidance for firms to reduce digital decoupling and help regulators identify priorities and measures to monitor and mitigate it.

The European Green Deal and related EU regulatory initiatives have intensified sustainability requirements for industrial firms, prompting transformative changes in supply chains toward circularity. These regulatory pressures require companies to adopt sustainability-oriented innovations (SOI) that integrate economic, environmental, and social dimensions into business and innovation processes. This paper explores how sustainability-oriented innovations are adopted at the supply chain level through an in-depth qualitative case study of a leading Baltic food manufacturing company operating globally. The study examines supply chain management practices that include implementation of sustainability-oriented innovation that supports sustainability outcomes. The results suggest how product and process SOI enables companies to create sustainable value, respond to regulatory pressures, and promote circular supply chain practices, also highlights the role of a supply chain lead firm, which orchestrates the entire supply chain, in creating SOI. By adopting a contextual supply chain approach, this paper enriches understanding of SOI in the food industry and offers managerial insights relevant to firms navigating sustainability-driven transformation under EU regulatory frameworks.

Abstract The gap between operational process design and the security regulation requirements represents a critical and underexplored source of cybersecurity risk. Business process models provide structured representations of system behavior but are routinely abstracted from external knowledge, including industry standards, organizational policies, and domain constraints, which are required to assess their security posture and verify regulatory compliance. To address this, we propose a Security by Design framework that leverages Large Language Models (LLMs) to systematically integrate structured process models with unstructured external knowledge for automated process explanation and compliance checking. Our approach combines BPMN process models with external security standards (ISO 27001 [International Organization for Standardization and International Electrotechnical Commission. [ISO/IEC 27001:2022] – Information security management systems – Requirements. ISO/IEC, Geneva, Switzerland, 2022. Fourth edition. Available from www.iso.org] and IEC 62443-3-3 [International Electrotechnical Commission. IEC 62443-3-3:2013 – Industrial communication networks – Network and system security – Part 3-3: System security requirements and security levels. IEC, Geneva, Switzerland, 2013. First edition. Available from www.iec.ch]) using a modular prompting architecture. We evaluate the framework using the LLM-as-a-Judge methodology on two real-world Industrial Internet of Things (IIoT) use cases, demonstrating accurate, contextually grounded results. We further introduce a four-part error typology to characterize model limitations in compliance-critical settings. While results are promising, human expert validation remains essential for nuanced regulatory interpretation. This work provides a methodological foundation for transparent, proactive cybersecurity by embedding context-aware compliance checks directly into the system design process.

ABSTRACT This case study explores how a U.S. wildland firefighting gear manufacturer (‘Company A’) evaluated three-dimensional (3D) apparel visualisation within its design and development workflow. Using an action research approach with six collaborative interviews across eleven months, the study documented baseline design, production, and business processes, and analyzed how 3D apparel visualisation software was assessed within a broader sociotechnical system. Guided by sociotechnical systems theory, the study shows that the value of 3D depends not only on technical functionality, but also on its alignment with organisational routines, firefighter-centred validation practices, supply-chain relationships, and regulation-bound product requirements. Findings indicate that 3D can accelerate early design decisions, enable multi-size evaluation, and clarify communication across the supply chain. Yet concerns about simulation fidelity, industry readiness, regulatory approval pathways, and the limited capacity of smaller firms constrained expectations for replacing physical prototypes. Overall, the case identifies a sector-specific sociotechnical adoption pathway for 3D in safety-critical apparel, in which the technology serves as a complementary tool for upstream visualisation, documentation, and coordination, while hybrid virtual and physical prototyping remains necessary for certification, risk management, and final fit verification.

BackgroundHealth care systems are increasingly confronted with the challenge of managing complex clinical processes. One proposed solution is a patient-centered management intervention called a care pathway that needs process mapping to support process improvement. Although the adoption and use of Business Process Modeling Notation (BPMN) for modeling patient health care trajectories has increased, evidence of the benefits of implementing it in health care organization management systems remains unclear.ObjectiveThis review sought to examine effectiveness by mapping implementation factors linking intended purpose to expected or demonstrated outcomes.MethodsA systematic review of the use of BPMN for modeling patient health care trajectories was conducted across 8 databases. We followed the Cochrane Methods Group and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We selected empirical, experimental, and conceptual articles in French and English that analyzed and evaluated the implementation of BPMN for modeling patient health care trajectories in the health care field. Quality appraisal was performed using the Mixed Methods Appraisal Tool. Data were charted using a customized form and analyzed thematically with qualitative and semiquantitative syntheses.ResultsAfter screening, 61 studies were included. BPMN offers significant benefits in health care. Its use allows health care professionals to gain an understanding of patient health care trajectories, making it easier to identify inefficiencies and areas for improvement. The definition of processes ensures that workflows remain consistent across different settings, thereby reducing variation and improving the quality of care. Several studies have demonstrated BPMN’s effectiveness in process optimization, highlighting its ability to streamline workflows, reduce redundancies, and enhance operational efficiency. Moreover, when integrated with decision-support tools, BPMN enhances clinical decision-making by enabling better adherence to guidelines and best practices. Another advantage is BPMN’s interoperability with existing health care IT standards. However, managerial considerations reveal trade-offs between BPMN’s benefits and limitations, especially in highly complex health care settings. Several challenges persist, including issues related to scalability, integration with advanced decision-making frameworks, and the complexity of modeling dynamic health care environments. While BPMN is widely adopted, alternative methodologies offer complementary or competing advantages. Several opportunities exist to enhance BPMN’s applicability in health care, such as creating domain-specific BPMN extensions or integrating artificial intelligence and machine learning. However, limitations in the methodological quality of the studies selected and the concentration of the research mainly in European countries limit the generalizability of our results.ConclusionsThis review highlights BPMN’s potential as a valuable tool for modeling patient health care trajectories. Its ability to standardize and optimize processes makes it promising for improving clinical and operational efficiency. However, trade-offs between benefits and limits of BPMN characterize its implementation in patient health care trajectories, creating opportunities for the development and integration of new tools.

The contemporary economic landscape necessitates a profound transformation of strategic management paradigms for businesses adapting to European integration processes. The purpose of this study is to conduct a comprehensive comparative analysis of Ukrainian and European management approaches to substantiate the vectors of business process restructuring required for successful integration into the European Union's economic and digital space. The relevance of the research is intrinsically determined by the high dynamism of the global external environment, rapid institutional shifts, and the urgent need for domestic enterprises to comply with complex, multifaceted EU regulatory frameworks. These frameworks predominantly encompass Environmental, Social, and Governance (ESG) criteria, strict technical regulations, and novel reporting directives such as the Corporate Sustainability Reporting Directive. The methodological basis of the empirical and theoretical study encompasses a sophisticated complex of general scientific and specific economic methods. The comparative analysis method was rigorously utilized to juxtapose the fundamental characteristics of Ukrainian and European managerial models across multiple criteria, including organizational structure, decision-making processes, planning horizons, personnel motivation, and attitudes toward risk and innovation. Systems analysis and synthesis were systematically applied to evaluate the continuous evolution of European management under the profound influence of globalization, digitalization, flexibilization, and the overarching transition towards sustainable economic development. Furthermore, the scientific generalization method enabled the precise formulation of strategic imperatives for enterprise adaptation. The research results indicate that the European management model is fundamentally distinct due to its structural orientation towards decentralization, operational flexibility, cross-functional teamwork, and a profound commitment to corporate social responsibility and long-term market sustainability. In stark contrast, the traditional Ukrainian managerial approach is frequently characterized by a high power distance, short-term survival planning due to environmental instability, and highly centralized decision-making where delegation is often perceived as a loss of control.

Purpose Despite the co-existence of commercial, public-sector and social-welfare mindsets in business processes, the knowledge is limited about how and why these logics affect supply chains (SC). The purpose of this study is to investigate how such logic-infused activities enhance the overall performance and resilience of SC by affecting the level of trust among SC actors. Design/methodology/approach A sequential mixed-methods design was followed to develop an integrated perspective. First, a survey was conducted on a sample of 174 retailers in the pharmaceutical SC, and partial least-squares structural equation modeling was used for data analysis. In the qualitative study, we conducted interviews with 17 managers and thematically analyzed. Findings Hypothesis testing results reveal that risk avoidance-oriented, collaboration-oriented and community-oriented activities positively affect trust among SC members; in turn, trust reinforces both SC resilience and performance. In contrast, performance-oriented activities have a negative effect. Both supporting and expanding these results, the qualitative findings show that while community, social-welfare and public-sector logics complement each other through trust-based mechanisms (e.g. knowledge-sharing, traceability, loyalty and collective risk management), commercial logic contrasts them and hinders positive SC outcomes. Research limitations/implications This study proposes that SC context is shaped not only by commercial and public-sector logics but also by social-welfare logic. As a twofold construct, social-welfare logic influences the trust-building capacity of SC members by imposing unique and frequently opposing pressures. Practical implications The study suggests that engaging in activities that do not prioritize commercial goals could be particularly effective in trust-building and attaining positive SC outcomes. Moreover, shared concerns and attempts by SC members toward improved societal welfare determine trust, resilience and performance to the highest degree. Social implications The study deepens the understanding of developing countries where there is a highly complex SC setting that is mostly vulnerable to opportunistic behaviors from SC actors, which can significantly undermine trust. Originality/value To the best of the authors’ knowledge, this is the first study that identifies four unique institutional logics and compares their relative importance in the SC context by exploring the role of trust. The study also highlights the importance of collaboration and community-oriented activities, manifesting themselves in socially responsible behaviors inside and outside of SC.

The study is aimed at improving the efficiency of economic activity in vertically integrated industrial holdings. Special attention is paid to analyzing socio-economic relationships emerging in the process of evaluating the effectiveness and implementation of mergers and acquisitions (M&A, Mergers & Acquisitions). The attention is focused on the specific behavioral risk – Fear of Missing Out (FoMO) – which deforms the rational business processes of making economic decisions on making inefficient deals during periods of industry transformation. The study uses methods of system analysis and synthesis to identify the relationship between the signs of FoMO and long-term business performance. The approbation was carried out on the basis of 63 mining and metallurgical sector transactions. The assessment of the efficiency of economic activity after the consolidation of assets was carried out using the author’s methodology of “medium-term payback” based on the dynamics of EBITDA indicator within 4 years after the completion of the transaction. The authors have developed a complex risk indicator (RIF, Risk Indicator Factor) that includes monitoring of transaction dynamics, investor sentiment, cross-border activity, and price trends. It has been proved that when the indicator reaches critical values, it signals a decrease in the quality of business processes and an increase in the likelihood of concluding “extra unprofitable” transactions. The authors have suggested an algorithm of modification of corporate risk management procedures which includes creation of independent “opposition to the deal” groups and implementation of alternative scenarios within the discounted cash flow models. Introduction of the proposed economic tool set into the business processes of industrial holdings allows minimizing irrational factors in management. Practical use of the RIF indicator by boards of directors of industrial enterprises ensures improvement of their economic activity in mergers and acquisitions in the long-term perspective by preventing possible destructive integration processes.

As organizations strive for increased efficiency and agility in their business processes, the intersection of Robotic Process Automation (RPA) and business process modeling is crucial. Integrating RPA into existing business process modeling frameworks harnesses the synergies between human-driven and automated processes, which can bring great benefits to various business organizations. This research investigates the impact of RPA on business process optimization, scalability, and adaptability. It provides insights into the strategic advantages and challenges of integrating RPA into business process modeling, exploring the relationship between automated robotic processes and human-driven models to take full advantage of them. Through an in-depth examination of implementation frameworks and technological interfaces, this research sheds light on the potential of incorporating RPA into traditional business process modeling structures. This paper proposes a framework that integrates robotic process automation into business process modeling. This serves as a foundation for the effective deployment of RPA, providing insights into the requirements necessary for successful automation. We aim to minimize the need for manual RPA development. Thus, software bots can automatically implement repetitive manual tasks performed by RPA developers. In the proposed framework, repetitive, deterministic, and medium-to-long duration activities are the prime targets for automation. Finally, we evaluate the proposed framework’s modules across various real-life data sets to generate automated tasks with minimal human intervention. The results are cross-examined with a state-of-the-art benchmark with similar processing settings.

The landscape of enrollment management in higher education related to all modalities of learning is undergoing a significant transformation driven by evolving student expectations, shifting demographics, and the necessity for institutions to optimize operational efficiency. Traditionally centered on human-driven processes and relational strategies, enrollment management for online learning enterprises must now integrate advanced technologies such as Business Process Automation (BPA) and artificial intelligence (AI) to remain effective and competitive. This manuscript for online learning administrators and enrollment management leaders will explore the systems-level continuum from Business Process Mapping (BPM) to AI-driven functionality, highlighting the strategic evolution of enrollment operations within the field of online learning. BPM serves as a foundational tool to visualize, standardize, and assess workflows across recruitment, admissions, financial aid, and student communications. BPA streamlines routine tasks and enhances communication consistency. However, its effectiveness is constrained by static implementation and an inability to adapt to student-specific behaviors at scale. As we consider the use of AI in online learning enrollment management, we must explore the ethical considerations, data quality, system integration, and transparency of the operations. Institutions must establish governance frameworks to ensure the ethical use of AI, safeguard student data, and build trust in automated decision-making processes. The future of enrollment management for online learning programs lies in blending technological innovation with human-centeredness. Embracing AI within a BPA-to-AI roadmap pathway reinvents online learning enrollment management for online learning enterprises to thrive.

Improvements of Machine Learning forecasting for perishable food sales in real-world grocers

Together with Information Systems, we celebrate the journal’s 50th anniversary and the 10th anniversary of our joint work on a systematic framework for compliance monitoring functionalities.

Formal modeling and discovery of cross-organizational business processes: A privacy-preserving two-stage approach