Business Process Research Articles (Page 1)

Aim. The work aimed to study the conceptual content of the digital transformation of industrial enterprises, as well as to identify and systematize the characteristics of digital transformation as an innovation distinct from traditional types of innovation. Objectives. The work seeks to analyze the approaches to interpreting the concept of “digital transformation”; to substantiate the need to identify a special type of innovation, namely digital innovation, for classification purposes; and to identify the elements and stages of implementing digital transformation as a digital innovation. Methods. The study employed comparison and classification, analysis and synthesis, and structural modeling within a systems approach. Results. Digital transformation implies the widespread adoption of digital technologies. It differs from digitalization in the scale and depth of changes, since digital transformation encompasses all aspects of activity and is comprehensive and radical in nature, while digitalization can be targeted. Digital transformation of an industrial enterprise, which contains an element of novelty, is a type of innovation. However, within the traditional classification scheme, it is difficult to determine the type to which it can be classified. It is proposed to consider digital transformation of enterprises as a special type of innovation, that is as digital innovation. The key difference between digital innovation and traditional innovation is its reliance on new digital technologies, while digital innovation can also be involved in the creation or improvement of products and processes, as well as the transformation of business models in general. Conclusions. Digital transformation cannot be examined only from a technological perspective. It involves changes to the organization’s overall management system (organizational structure and management mechanisms, business processes, corporate culture, employee engagement, and competencies). Due to this composite nature, applying traditional innovation classifications to digital transformation is challenging. Therefore, it seems rational to identify a specific type of innovation, namely digital innovation, that can be associated with both individual products and processes and the business model as a whole. An innovative business model for an industrial enterprise has more capabilities for success than a single innovative product or process. Incremental improvements do not yield radically new solutions for meeting customer needs and the methods for achieving them. Digital transformation has the potential for such change.

Developing a web-based system to automate sales and inventory management procedures for small food enterprises is the main goal of "Data-Driven Point-of-Sale and Inventory System for Pastil sa Tabi: Integrating Sales Forecasting Algorithms with Predictive Analytics." The system, developed using PHP, MySQL, HTML, CSS, and JavaScript under the Waterfall SDLC approach, integrates transaction processing, inventory management, and sales forecasting to address inefficiencies caused by manual processes. It predicts product demand using forecasting algorithms, helping the business minimize waste, prevent shortages, and improve ingredient procurement. Fifty (50) respondents, including thirty (30) users and twenty (20) technical experts, evaluated the system using ISO/IEC 25010 software quality standards. They rated it highly for functionality and usability and suggested improvements in performance and reliability. The system improved operational speed, accuracy, and decision-making while providing real-time analytics on inventory and sales trends. Results show that both technical and user respondents agreed the system achieved its objectives by enhancing customer service, updating inventory reliably, and automating business processes efficiently. The system’s ability to record transactions and generate reports precisely improved accuracy and user satisfaction. Although reliability and performance efficiency were slightly lower, they remained favorable, highlighting the need for further optimization during high-traffic operations. The study concludes that incorporating automation and forecasting technologies in small food businesses like “Pastil sa Tabi” enhances decision-making and sustainability. Regular system updates, better multi-user optimization, and future features such as offline and mobile access are recommended. Expanding scalability for multi-branch use and adopting machine learning-based forecasting can further improve performance. Overall, the system demonstrates how digital transformation guided by quality standards enables small businesses to operate efficiently in a data-driven economy.

Toward LLM-enabled business process coherence checking based on multi-level process documentation

This project, titled “A Web-Based Data Driven Analytics System for Income and Operations Management Using Linear Regression for Modern Concept Prints,” was developed to address the inefficiencies of manual income tracking and operations management in small enterprises. Income management, which includes tracking revenue, managing expenses, and ensuring profitability, is crucial for financial planning and long-term sustainability. Operations management, which involves the efficient handling of day-to-day processes such as task delegation, inventory monitoring, and order fulfillment, is equally essential for business optimization. When these areas are not integrated or managed manually, it becomes difficult to control costs, optimize performance, and make informed decisions. This study follows an applied research approach, focusing on the development of a Web-Based System to solve real-world business challenges faced by Modern Concept Prints, a local printing business. The business had been relying on spreadsheets and verbal coordination for its operations, leading to frequent delays, inaccurate records, and limited forecasting capabilities. To address these issues, the researchers designed and implemented a centralized platform that automates key business processes, including Sales Monitoring, Inventory Management, and Task Tracking, while utilizing Linear Regression for Income Prediction based on historical data. The system also integrates Predictive Analytics to forecast future income, thus enhancing decision-making. The project followed the Spiral Model as its software development methodology, allowing for iterative development, continuous risk assessment, and frequent refinement of the system based on user feedback. Developed using PHP, MySQL, HTML, CSS, and JavaScript, the system offers a dynamic, user-friendly interface that supports real-time data analysis and visualization. Evaluation results, guided by ISO 25010 quality standards, showed high satisfaction among both technical and user respondents in terms of System Usability, Data Security, functionality, reliability, and security. The system significantly improved operational workflows, reduced manual errors, and enhanced financial planning through automated income prediction and sales monitoring. The project demonstrates how integrating automation, Predictive Analytics, Linear Regression, and business management can help small businesses optimize decision-making, productivity, and long-term sustainability. Future recommendations include adding accounting and payroll modules, mobile compatibility, and advanced forecasting algorithms to further enhance scalability and performance.

Purpose This study aims to examine the impact of peers, including competitors, ecosystem members and other firms in the industry, on innovation in knowledge-intensive business services (KIBS) and investigates the role of human capital practices and organizational structure in this relationship. Design/methodology/approach This research is based on a survey of 400 KIBS firms in Russia. It uses logit regression models to analyze the likelihood of various innovation types, including product and business process innovations. Key variables include the influence of peers, human resource management (HRM) practices and organizational structure. Findings The use of peer knowledge is positively associated with business process innovations, particularly in creating external networks and partnerships. However, their impact on product innovation is negligible. Firms using peer knowledge do not exhibit higher sensitivity to HRM practices. The organizational structure, specifically a higher proportion of top management, is negatively associated with innovation for peer-dependent firms. Originality/value This study uniquely addresses the role of peer influence on innovation within KIBS, distinguishing it from other external sources of knowledge. It contributes to understanding the mediating effects of HRM practices and organizational structures, emphasizing the nuanced interplay between peer knowledge and innovation processes. This research highlights the importance of strategic network creation and a balanced organizational hierarchy for fostering innovation in service-oriented firms.

Enhancing declarative business process management availability through generative AI

The increasing demand for halal-certified food has intensified the need for micro, small, and medium enterprises (MSMEs) to adopt performance frameworks that capture both operational efficiency and halal compliance. Although previous studies have applied Balanced Scorecard (BSC) to evaluate supply chain (SC) performance, the incorporation of halal compliance into this framework has not been examined, especially in the context of MSMEs. In this study, we developed and tested a BSC-based framework that embeds halal principles to assess SC performance. The research involved 130 MSMEs and 130 consumers engaged in the fried chicken sector in Indonesia. An exploratory mixed-methods design was applied, combining qualitative interviews with quantitative analysis using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). The findings revealed customer perspective (CP) as the strongest driver in SC performance (β = 0.496, p < 0.001), whereas financial, business process, and growth perspectives demonstrated comparatively weaker or statistically insignificant effects. Furthermore, the findings underscore that consumer trust and halal adherence represent strategic assets for MSMEs, enabling stronger competitiveness and sustainable operations. By incorporating halal compliance with performance measurement theory, this study provides novel insights and practical guidelines for MSMEs and policymakers to strengthen halal food supply chains in emerging markets.

Digitalization is becoming a key factor in structural transformation and a source of sustainable economic growth, defining new parameters of productivity, employment and investment. The purpose of the study is to determine the relationship between the level of digital literacy of the population, the use of information and communication technologies (hereinafter - ICT) in organizations and macroeconomic indicators in 2018-2024. The study used seven indicators, of which two characterize digital development (the level of digital literacy of the population and the use of ICT in organizations), and five reflect economic dynamics (GDP, fixed capital investment, real wage index, unemployment rate and gross value added per employee). The results of the analysis showed that the growth of digital literacy of the population has a very strong positive correlation with the main economic indicators: GDP (r = 0.934), investments in fixed assets (r = 0.909) and gross value added per employed (r = 0.947). At the same time, the use of ICT in organizations shows a weak and partially negative correlation with GDP (r = -0.205) and investment (r = -0.180), reflecting the structural gap between human and technological capital. Thus, for the period 2018-2024. Digitalization has become a stable factor of macroeconomic growth, with human capital playing a key role. To increase the effectiveness of digital transformation, it is necessary to strengthen the integration of ICT into business processes, develop infrastructure and increase the managerial maturity of organizations.

The increasing complexity of contemporary organizational environments has demanded more sophisticated approaches to Business Process Management (BPM). This study presents a critical and in-depth analysis of the evolution of process modeling, investigating emerging synergies between Business Process Model and Notation (BPMN), Process Mining techniques, and advances in Artificial Intelligence (AI). Through a mixed methodology that combines systematic literature review, bibliometric analysis, and multiple case studies, this research examines 000 scientific articles published between 0000 and 0000 in high-impact journals (JCR Q0 and Q0). The results reveal that the integration of these technologies not only optimizes process representation and automation but fundamentally transforms the nature of organizational governance, enabling predictive, adaptive, and evidence-based management. The analysis identifies five critical governance dimensions: (1) strategic-operational alignment, (2) capacity building and change management, (3) integrated technological architecture, (4) intelligent performance metrics, and (5) sustainability and regulatory compliance. The study contributes theoretically by proposing the Integrated Framework for Intelligent Process Governance (IFIPG), which articulates the technological, organizational, and strategic dimensions necessary for successful implementation. Practically, it offers specific guidelines for organizations seeking to overcome challenges of resistance to change, integration complexity, and value measurement. It is concluded that the future of BPM lies in the intelligent convergence of these technologies, mediated by robust governance that balances technological innovation with organizational sustainability.

Business process management (BPM) emerges as a methodology for enhancing an enterprise’s processes by identifying, supporting, and governing them to achieve continuous improvement and sustainable competitive advantage. This study conducted a semi-structured systematic literature review of 92 articles published between 2000 and 2024, following the methodology outlined by Tranfield and Denyer. The main objectives of the review were to systematize the field and propose a comprehensive framework for a sustainable adoption of BPM. This framework resulted from the analysis and integration of relevant notions associated with BPM, and from the evolution of process management, shaped by the approaches and tools examined across key stages of its development. From a theory-building approach, six stages for adopting BPM were defined, from initial levels of documentation to more mature phases characterized by integrating advanced technologies. Furthermore, the proposed framework bridges theory and practice by outlining the phases a firm should consider improving its process management. This research has also identified critical gaps in this field, including the limited number of studies on small and medium-sized enterprises (SMEs) and sustainability from a holistic perspective. Furthermore, the results also reveal a limited number of studies in developed countries. These gaps emphasize the need to further study BPM from an integrative approach in resource-limited contexts, such as developing countries or SMEs, to support sustainable development.

Projects continue to fail approximately half the time, both before and after the COVID-19 pandemic. While prior studies highlight the influence of project leadership and individual competencies, little is known about whether team members’ willingness to disclose past performance can improve team allocation decisions and enhance business process success. However, we do not know if team members’ willingness to disclose their past performance may improve teamwork allocation in projects, thereby increasing business process success while reducing the likelihood of the project failing. We applied a rigorous post-positivist research design using correlation, conditioned correlation, t-tests, and ordinary least squares (OLS) linear regression to test the hypotheses. Controlling established predictors including budget, end user community size, and certification, we found that team members’ willingness to share their past performance evaluations significantly improved project success, increasing explained variance from 9.6% to 18.8%. The results indicate that transparency factors—specifically, willingness to share past performance—outweigh traditional resource allocation variables in predicting Fintech project outcomes, explaining an additional 19% of the variance in project success.

Augmented Reality (AR) has emerged as a prominent solution to address customer concerns in online shopping. This study aims to conduct a literature review on the factors influencing the adoption of AR in the retail industry. The reviewed literature spans the last five years, from 2020 to 2025, and was sourced from databases such as Scopus, Semantic Scholar, Web of Science, and Google Scholar. The PRISMA method was applied to facilitate the selection of relevant studies, resulting in a final dataset of 34 publications. The review identified 94 variables and 13 moderators commonly used in 11 prior studies. Among these, the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) were the most frequently applied frameworks. Research on AR adoption in retail has been conducted across various countries in Asia, Europe, and the Americas. This study is expected to provide insights beneficial for both researchers and retail practitioners in integrating AR technology into their business processes.

This study explores how emerging market multinational corporations (EMNCs) leverage strategic agility, developed at home, to manage institutional complexity when expanding abroad. We analyze the two-and-a-half-decade internationalization journey of Intelcia, a Moroccan global business process outsourcing provider, by examining core agility drivers: strategic sensitivity, leadership unity, and resource fluidity. Our key insight is that home-grown strategic agility enhances EMNCs’ ability to manage institutional complexity and market uncertainties during international expansion, thereby creating a competitive advantage. We forward a prescriptive framework detailing four strategic agility phases for managing institutional complexity, valuable for both EMNC leaders and international business educators.

The development of a web-based management system that integrates descriptive analytics and scheduling algorithms helps overcome the limitations of manual processes such as inefficiency, data inaccuracy, and lack of real-time updates. Through automation and data analysis, the system enhances productivity, minimizes human error, and enables informed decision-making. By centralizing operations, it ensures improved accuracy, accessibility, and overall business performance. The combination of descriptive analytics and scheduling algorithms strengthens operational efficiency and organizational intelligence. Descriptive analytics reveals patterns and performance insights, while scheduling algorithms automate and optimize resource allocation in real time. Together, they create an adaptive, intelligent, and reliable management solution that continuously improves business operations. SJOE Pet Supply, established in 2018, struggles with managing appointments, inventory, and customer records due to its manual system. To address these challenges, the proposed PetStreet system aims to automate core business processes and enhance operational efficiency. It incorporates descriptive analytics for data-driven insights and a scheduling algorithm to optimize appointments and staff workload management. Applied Developmental Research, focusing on designing and implementing a Web-Based Management System for SJOE Pet Supply, evaluated through the ISO/IEC 25010 software quality model. The evaluation centered on Functionality, Reliability, Efficiency, Usability, and Security to ensure the system performs accurately, operates smoothly, and safeguards sensitive business data. Data collection was conducted before and after system development, using interviews, surveys, and a Likert-scale questionnaire based on ISO 25010 criteria to measure user satisfaction and system performance. The Agile Methodology served as the development framework, emphasizing iterative development, continuous testing, and feedback integration to rapidly adapt to changes and refine features. Each phase aligned with ISO 25010 standards, ensuring that the system was functional, reliable, efficient, user-friendly, and secure to meet the operational needs of SJOE Pet Supply. PetStreet is a web-based management system developed for SJOE Pet Supply to automate grooming appointments, manage client and pet records, and control inventory efficiently. Based on the ISO/IEC 25010 evaluation, both users and technical experts strongly agreed that the system is highly functional, reliable, efficient, user-friendly, and secure. The study successfully developed and evaluated the PetStreet system, meeting all ISO/IEC 25010 quality standards. It proved to be an effective, secure, and user-centered solution for improving operational processes in the pet care industry. Future enhancements for PetStreet include developing a mobile version, strengthening security features, and enabling offline functionality. It is also recommended to integrate advanced analytics, payment options, and scalability features to support business growth and wider adoption.

In recent years, ERP has become an integral part of most organizations, which are already large, across all geographies of the ‎globe, whereas mid-sized and small organizations are still not fully covered. There were several cases observed on disruption to ‎normal operations after implementing ERP, which triggered further consequences of Customer Dissatisfaction, Reduction in Revenue, etc. ‎Enterprise Resource Planning (ERP) systems are essential in contemporary organizations as they unify fundamental business processes ‎within a single, centralized framework. However, the success of ERP implementations heavily relies on the experiences of end users. This ‎study explores the factors influencing employees' experience with ERP implementations from an end-user perspective. The research is ‎analytical and relies primarily on data gathered from a questionnaire. Participants were selected using a convenience sampling approach. Data ‎obtained from 39 subjects were analyzed and interpreted using various mathematical and statistical techniques, including percentage ‎calculations‎.

Abstract Cyberattacks are increasingly affecting the safe operation of critical infrastructure (e.g., energy, manufacturing) and potentially endangering production, people, equipment, and the environment. A cyber-incident with physical consequences requires personnel responsible for aggregating log information, analyzing root cause (i.e., cybersecurity), and ensuring the production and safe operation of safety-critical systems (i.e., safety) to collaborate. For this, they must understand their own and each other’s roles in the incident response process, as well as when and how to interact with different roles. To address this problem, this paper proposes a framework that utilizes a model-based approach to illustrate the critical roles and their interactions within a security-safety incident response plan. To demonstrate its applicability, the framework was applied in a qualitative study within the Norwegian oil and gas industry, involving two companies. This research sheds light on the relevance of applying a model-based approach to developing security and safety incident response plans for organizations. It investigates the relevance of using two modeling languages: a general-purpose software systems modeling language, the Unified Modeling Language (UML), and an enterprise process workflow modeling language, the Business Process Modeling Notation (BPMN), for visualizing the security-safety incident response plan. The findings indicate that the modeling languages are suitable and relevant for understanding and discussing the collaboration and coordination of different personnel’s roles during security-safety incident response. The distinct diagrams highlight various aspects, including roles, transmitted information, tasks, and the sequence of tasks. Future work should consider how the diagrams can be applied during the training and learning of the incident response plans.

This study explores the integration of the "quintuple helix" model and esg (environmental, social, and governance) framework for sustainable business development, both critical for improving business processes and fostering systematic analysis. The research aims to reassess these frameworks and propose an innovative n-model of management. Validity is confirmed through analysis of kazakhstani and international literature, practical testing, and implementation of findings in real-world contexts. The purpose of the study is to review and rethink approaches to the formation of the “five helix” and esg with the development of prerequisites for the development of the n-model of management. Research methodology . Qualitative methods were employed, including observation of processes in natural environments and focus group discussions to analyze the significance of the "quintuple helix" model and esg transformation. Theoretical generalization identified commonalities and differences between the frameworks, highlighting priority directions for further research. Originality (value) of the research . The "quintuple helix" model emphasizes dynamic knowledge exchange within a nation for sustainable development. Esg focuses on environmental responsibility, social accountability, and robust corporate governance. Both concepts are essential for addressing issues like low management quality and insufficient decision-making systems in kazakhstan. Results of the study . The significance of the results and conclusions of the study lies in clarifying the characteristics and conditions that complicate innovative interaction. The five spiral model and the existence of prerequisites for adapting the esg education model show the qualitative changes that the relationships between participants in kazakhstan's innovative development are undergoing. The study concludes that the integration of the two concepts contributes to the development of the n-model of management, improving interaction between participants in the innovation process.

ABSTRACT Process Mining (PM) technology enables organisations to visualise and analyse their business processes. While most research focuses on technical advancements of PM functionality, there is a need for research to focus on how to implement and monitor PM initiatives effectively. This paper introduces the Holistic PM Maturity Model (HP3M), designed to assess and improve PM adoption. Developed using the Design Science Research paradigm through literature review, expert interviews, and multi-method evaluation. HP3M evolved from an initial α-version to an enhanced β-version validated via expert panels and an industrial case study. Unlike previous models, HP3M offers a general framework that redefines PM’s technology dimensions in line with emerging AI-infused approaches.

Purpose : Ensuring the operation of a monitoring mechanism for the use of tactical planning methods within the system of circular business models of enterprises facilitates effective resource management, waste minimization, and supports sustainable development. The formation of well - founded strategic and tactical decisions in this context is based on effective planning methods, monitoring of key performance indicators, identification of trends and changes, uncovering interconnections and patterns, etc. This enhances the efficiency of circular business processes and improves their long - term outcomes, upholding the principles of the circular economy. Design/methodology/approach : To ensure the operation of a monitoring mechanism for the use of tactical planning methods within the system of circular business models of enterprises, text mining and intelligent data analysis are recommended. This approach aims to: identify tactical planning methods used to achieve the goals of circular business processes; track key performan ce indicators of circular business processes and identify trends in their changes; uncover interconnections and patterns, cluster documents; evaluate, validate, and summarize information obtained from the tactical plans of the enterprise, and generate repo rts based on the mining results. Findings : A recommended procedure for monitoring the use of tactical planning methods within the system of circular business models of enterprises through text mining includes: information support for monitoring processes, which involves a system for collecting and coding enterprise plans within a unified information platform and monitoring environment; direct mining of the obtained data set, which may include data extraction, document clustering, establishing interconnectio ns and network formation, validation, summarization (report generation), etc.; formation of a knowledge system regarding tactical planning methods within the system of circular business models of enterprises, key indicators and trends (directions of furthe r development), and decision - making. Originality/value : Practical implementation of the recommendations has been carried out for PhilipsLight, Lego, Novo Nordisk, Hershey, Uber, Harry’s Chocolate, H&M, Renault, Solvay, Interface. Through text mining, the m ethods of tactical planning within the system of circular business models and the tactical indicators of enterprises were studied, and their interconnection with the tactical goals of circular business processes was assessed. Practical implications : Text mining and intelligent data analysis contribute to making well - founded strategic decisions and improving the efficiency of circular business processes of enterprises. This process allows for the identification of effective tactical planning methods, tracking key performance indicators, iden - tifying trends and changes, uncovering interconnections and patterns, evaluating and validating information, etc.

Detecting and repairing anomaly patterns in business process event logs