Business Process Management Research Articles

Are innovative firms more circular when women hold upper positions?

The circular economy paradigm demands immediate and significant adjustments and changes in management and production business processes to maintain adequate to good ecosystem conditions for the use and development of human life. In this context, we analysed the impact of female leadership in the business environment and its relationship with the conservation of planetary health. This empowers women in the transition toward circular business model within the planet's capacity.For a panel data sample of the world's largest companies, we find that active female participation in high business positions leads to significant changes toward a model that protects the natural and endemic wealth of different ecosystems around de world. Additionally, we found that the active presence of women in the decision-making process concerning the protection of the environment, human development, and economic prosperity is strongly associated with the prospective knowledge that female independent directors possess, and to a greater extent, with the knowledge spillover that the presence of female executive directors entails.

The PrescIT platform: An interoperable Clinical Decision Support System for ePrescription to Prevent Adverse Drug Reactions and Drug-Drug Interactions.

Preventable medication errors have been proven to cause significant public health burden, and ePrescription is a key part of the process where medication errors and adverse effects could be prevented. Information systems and "intelligent" computational approaches could provide a valuable tool to prevent such errors with profound impact in clinical practice. The PrescIT platform is a Clinical Decision Support System (CDSS) that aims to facilitate the prevention of adverse drug reactions (ADRs) and drug-drug interactions (DDIs) in the phase of ePrescription in Greece. The proposed platform could be relatively easily localized for use in other contexts too. The PrescIT platform is based on the use of Knowledge Engineering (ΚΕ) approaches, i.e., the use of Ontologies and Knowledge Graphs (KGs) developed upon openly available data sources. Open standards (i.e., RDF, OWL, SPARQL) are used for the development of the platform enabling the integration with already existing IT systems or for standalone use. The main KG is based on the use of DrugBank, MedDRA, SemMedDB and OpenPVSignal. In addition, the Business Process Management Notation (BPMN) has been used to model long-term therapeutic protocols used during the ePrescription process. Finally, the produced software has been pilot tested in three hospitals by 18 clinical professionals via in-person think-aloud sessions. The PrescIT platform has been successfully integrated in a transparent fashion in a proprietary Hospital Information System (HIS), and it has also been used as a standalone application. Furthermore, it has been successfully integrated with the Greek National ePrescription system. During the pilot phase, one psychiatric therapeutic protocol was used as a testbed to collect end-users' feedback. Summarizing the feedback from the end-users, they have generally acknowledged the usefulness of such a system while also identifying some challenges in terms of usability and the overall user experience. The PrescIT platform has been successfully deployed and piloted in real-world environments to evaluate its ability to support safer medication prescriptions.

Ontological analysis of business process modeling of higher education institutions based on the electronic document management system

Abstract Improving the quality of the educational process, bringing it to modern requirements is a complex task, the solution of which requires a systematic approach from higher education institutions and the development of a strategy to improve the quality of service and efficiency of the institution. Formalization and modeling of the management business process allows for effective management decisions. When analyzing large amounts of information to effectively solve the problem of data structuring, as well as the problem of forming new knowledge, it is proposed to use an ontological approach based on the use of associative rules. The ontological analysis of modeling business processes of higher education institutions and analysis of the structure, functions and information flows of organization and management of educational activities based on the structural approach is carried out. Improving the quality of the educational process, bringing it to modern requirements is a complex task, the solution of which requires a systematic approach from higher education institutions and the development of a strategy to improve the quality of service and efficiency of the institution. The use of an ontological model of interaction between subjects and objects of the system makes it possible to assess the level of system efficiency and build a simulation model of management, which will allow predicting the emergence of critical business processes that may lead to a decrease in the efficiency of decision-making and disruptions in the functioning of higher education institutions and their departments.

THE MODELLING OF CARGO TRANSSHIPMENT OPERATIONS USING THE BUSINESS PROCESS MODELLING TOOLS

This paperwork explores the transshipment operations at the Port of Constanta, Romania, focusing on the unloading of big bags from barges. Utilizing Business Process Management (BPM) software, the study models the transshipment process to identify optimization opportunities. The investigation reveals challenges such as coordination complexities and potential cargo damage, alongside the benefits of cost-efficiency and flexibility offered by transshipment services. Through literature review and analysis, the study emphasizes the importance of efficient business processes and the role of BPM software in enhancing operational efficiency. By employing Aura Portal Modeller for simulation, the study identifies bottlenecks and proposes optimization strategies for the transshipment process. The proposed measures include real-time cargo assessment, inventory tracking systems, equipment analysis, and storage layout optimization. This research contributes to the understanding of transshipment operations and highlights the effectiveness of BPM software in process visualization and analysis, offering insights for enhancing efficiency and mitigating delays in supply chain management.

Модели сетевого адаптивного взаимодействия организаций в условиях принятия решения доминирующим собственником о реализации проекта

In modern business conditions, the network interaction of organizations is one of the most effective forms of cooperation within the framework of the project. The ability of the network to adapt to changing factors and conditions of the external and internal environment based on the reactive management of business processes of project interaction ensures not only the achievement of project goals, but also the satisfaction of the complementary interests of all counterparties. The process of developing the author's model includes an analysis of existing models of network interaction between organizations, the study of methods and approaches to evaluating the effectiveness of such interaction, as well as the identification of key factors influencing the success of the project. The results obtained will improve the understanding of the processes of networking between organizations in the implementation of projects, as well as develop recommendations to improve the effectiveness of such interaction. The results can also be useful both for the scientific community and for practitioners involved in project management and business processes in a network context. The methodological basis of the study was the methods of comparative and logical analysis, induction and deduction, analysis and synthesis. As a result of the work carried out, the author's model of network adaptive interaction of organizations was formed in the conditions of decision-making by the dominant owner on the implementation of the project.

Business Process Management System of a Retail Network Enterprise Based on Big Data Analysis Tools

Business Process Management System of a Retail Network Enterprise Based on Big Data Analysis Tools

ОПТИМІЗАЦІЯ ІННОВАЦІЙНИХ БІЗНЕС-ПРОЦЕСІВ В СИСТЕМІ УПРАВЛІННЯ ЛАНЦЮГАМИ ВАРТОСТІ

The article examines applied aspects of implementing the strategy of clustering the national economy based on the optimization of integrated value chains in the context of globalization challenges. The peculiarities of organizational-procedural and communicative-network support of business processes under the conditions of clustering of socio-economic systems are determined. The components of managing the processes of administration and implementation of the innovative potential of integrated production chains in the context of digital development and the format of optimization parameters were formed: intellectual capital; entrepreneurial potential; dominant technologies (level and possibilities of technology development in this area); industry localization (industry environment, market segments); information innovation infrastructure (environment of targeted integrated interaction). The evolution of the concept of integrated value chains in the context of their application in partnership activities of enterprises was considered, their mutual influence and combination, features and advantages were studied. The expediency of using the theory of digital business process management systems in business network structures and value chains is substantiated. The prospects for the use of integrated solutions are outlined, which allow creating a significant synergy of innovative network concepts, ensuring the overcoming of information asymmetry, and moving to an emergent level of business process management. Thus, the integrated value chain gradually expands from the production area to system processes in marketing, scientific and technical activities, financial support, sales process and service activities. A positive characteristic of this is the acquisition of invaluable experience in the systematic management of business processes and the implementation of innovative solutions to optimize the processes of increasing the value of enterprises in the strategic sector of the economy. Therefore, taking into account the current trends in the manifestation of innovative business processes in the digital administration system, one should possess the tools of the analog and digital management model when determining the profile of the business processes of filling the integrated value chain.

Navigating Business Model Redesign: The Compass Method for Identifying Changes to the Operating Model

In today’s dynamic business environment, organizations constantly change their business models to respond to emerging digital technologies and shifting customer expectations. It is a fundamental challenge to translate these changes into the organization’s operating model. When organizations redesign their business models, significant adjustments to the operating model and its underlying business processes are necessary to ensure the effective delivery of the value proposition to customers. Existing research falls short in detailing how changes to the business model at the tactical level impact the operating model at the operational level. To address this gap, this paper introduces the Compass Method. This method provides guidance for decision-makers at the tactical and operational levels in identifying necessary changes to their operating model using a set of operating model design cards. The method has been developed following the design science research methodology and is grounded in extant knowledge from both business model research and process management research. Three rounds of design and evaluation of the method were completed in multiple settings. The study contributes to the understanding of the relationship between business models, operating models, and business processes, paving the way for the development of complementary methods and tools to further investigate this relationship.

Examining the impact of green entrepreneurship drivers on sustainable development in the context of emerging country

PurposeGreen entrepreneurship (GE) is a novel concept in business and enhances environmentally friendly production and operation activities for “sustainable development” (SD). The aim of this study is to determine the drivers that contribute to the growth and success of “micro, small, and medium enterprises” (MSMEs) in the manufacturing sector in India. The study also examines the mutual and cause-and-effect relationships among these identified drivers.Design/methodology/approachThe study used integrated research methodology and identified nine key drivers of GE (GEDs) through extensive literature reviews, theoretical perspectives (i.e. “resource-based view” (RBV), “natural resource-based view” (NRBV) and “critical success factor theory” (CSFT)), and expert opinions. Further, “total interpretive structural modeling” (TISM) and “matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) analysis are used here to develop a hierarchical model and cluster the drivers, and fuzzy “decision-making trial and evaluation laboratory” (fuzzy-DEMATEL) is used to develop causal relationships among the drivers. Further, a sensitivity analysis is conducted to ensure the robustness of the results.FindingsResults indicated that green manufacturing and operation capability development, green business process management and attitudes toward developing sustainable business models significantly impacted GE and SD. The findings of this study help managers, policymakers, and practitioners gain an in-depth understanding of the drivers of GE.Research limitations/implicationsThe study considers a limited number of drivers and is specific to Indian manufacturing MSMEs only. Further, a limited number of experts from different enterprises are considered for data analysis. This study is also based on interrelationships and their relative importance based on multicriteria decision-making techniques. This study aids government decision-making, policy formulation and strategic decision-making for manufacturing businesses in achieving SD goals. In addition, this research also encourages green entrepreneurs to start eco-driven companies and facilitate the use of environmentally friendly goods to offset environmental challenges and accomplish sustainable development goals.Originality/valueThis study proposes an integrated methodology that will benefit managers, practitioners and others in developing strategies and innovations to improve and develop green practices. This study further helps with responsive, sustainable business development in various manufacturing MSMEs.

Digital Industry transformation strategy analysis and decision-based on intelligent decision technology

Expanding and being competitive in the current economic environment requires companies to embrace digital transformation. In the framework of Industry 4.0, the network of interconnected machines, sensors, and software known as the IIoT plays a crucial role in transforming conventional manufacturing facilities into smart factories, notably in monitoring and optimising the manufacturing process. The issues about enormous record storage and how they react challenge conventional automated methods in the IIoT. Cognitive systems optimally modify production settings based on managing uncertainty and sensory inputs. This work uses the Internet of Things-based decision support system with cognitive automation (IoT-DSS-CA) for industrial informatics across the board, including data collection, transmission, processing, and storage. Incorporating the elements frequently neglected during digital transformation, the suggested method uses the business process management (BPM) paradigm to give a systematic approach that industrial organizations may employ to aid their path towards Industry 4.0. The proposed mechanism is thoroughly investigated and evaluated compared to an original solution using several sensing and decision-making features in industrial parameter settings determined by Simple Additive Weighting (SAW) and Analytic Hierarchy Process (AHP).

METHODOLOGICAL SUPPORT FOR MANAGING BUSINESS PROCESSES OF COMPANIES ON THE BASIS OF A REFLEXIVE APPROACH

The article actualizes the issues of methodological support for managing business processes of companies on the basis of a reflective approach. It is argued that a reflective approach to management helps to avoid problems at the planning stages and contributes to the development of companies. It allows minimizing financial losses, responding promptly to changes, and adjusting the course of the company's business processes. However, no methodological support has been developed to support the management of business processes based on a reflexive approach, which is the purpose of this work and defines its objectives. To implement the above, the author analyses the existing methods and models that ensure the management of business processes with consideration of reflection, studies their problems and bottlenecks, and on the basis of this the author's matrix method of business process management based on the reflexive approach is substantiated. The advantages of the proposed method are: the use of the appropriate categorical and conceptual apparatus (“Levels of reflection”, “Indicators of the level of reflection”, etc.); the possibility of substantiating the directions of business process management, determined by the options described for each level of reflection; ease of use of the matrix due to its adaptability for the use of quantitative estimates obtained by the algorithm of fuzzy set theory (Mamdani), which avoids subjectivity; the flexibility of the method, due to the principles of building the GE/McKinsey matrix, helps to prevent static results and simplify them.

Design of customized business process management with implementation in the apparel industry as a solution to achieve operational excellence

Textile industry companies are required to compete optimally with competitors to generate higher revenues for the sustainability of the company. In addition, companies must be responsive to market demands because of the dynamic nature of the market. One of the systems used to meet these needs is the Enterprise Resource Planning (ERP) information system. PT Rofina Indah Jaya (Poshboy) has obstacles in implementing ERP in the apparel industry because it is still too generic and has not been optimal in using the existing ERP system. This study aims to improve the performance and efficiency of the industry that produces real-time business reports, so that effective and efficient coordination is created. The methodology used in this study is to take a qualitative and quantitative approach to investigate the design of business process management that is adjusted to the implementation in the apparel industry as a solution to achieve operational excellence. Designing ERP based on customized business processes with implementation in the apparel industry is waterfall is a sequential development process and RACI Matrix that can be adopted to ensure the improvement process runs consistently. Optimization of the ERP business process uses Business Process Management (BPM) by identifying processes that require improvement through comprehensive process mapping to understand the overall workflow. So that ERP can manage customer relationship management (CRM), stock availability updates, warehouse stock positions, goods in transit, order placement, delivery orders, as well as recording and finance used for management decision-making analysis

From zero to hero: ramp-up management as a new cross-cutting business process management capability

AbstractChanging business environments challenge and motivate organizations to transform. To remain competitive, organizations need to embrace these dynamics and make radical changes to how work is performed. Business process management (BPM) as a holistic management discipline offers mature methods and end-to-end management activities. However, it is subject to the tension between stability and change. While change through the improvement of existing business processes is well understood, the implementation and scaling of novel business processes have been neglected in BPM research. Hence, this paper proposes business process ramp-up management (BPRUM) as a new cross-cutting capability area for contemporary and future BPM and explores relevant sub-capabilities. Our work synthesizes insights from an exploratory interview study with 21 subject matter experts to advance the understanding of BPM as a corporate capability regarding the implementation and scaling of novel processes. As a result, this study illustrates how BPRUM adds to modern BPM and presents 40 action-oriented sub-capabilities that provide hands-on knowledge and practical guidance for effective BPRUM. Thereby, it serves as a foundation for further theorizing on process ramp-up and for structuring discussions among BPM practitioners.

Business process management in the age of AI – three essential drifts

Business process management in the age of AI – three essential drifts

A Study on the Relationship of Business Intelligence and Business Performance Management

In order for corporations to attach their operational and strategic targets with everyday activities, Business Performance Management (BPM) is a important challenge. By making it simpler to make educated decisions and provide useful data, this lets in for comprehensive overall performance management. Not most effective should an enterprise version and track its strategies for BPM to paintings, however it have to additionally model and tune its broader strategies and the assumptions that underpin those plans. Examining the methods, gear, and approaches that make up Business Process Management (BPM) is the number one goal of this newsletter. Along with providing a radical framework that integrates BI and company overall performance control, it will also check out the intrinsic relationship between BPM and BI. This all-encompassing technique to managing agency performance ensures that operational execution and strategic objectives are always in sync by means of promoting continuous improvement and adaptable plans via records-pushed analysis.

A Study on Measuring the Impact of Business Process Management on an Organization’s Business Performance Superiority

The study's overarching goal is to quantify the effect of BPM on the improved business performance of participating organisations. The research used the corporate process management life cycle methodology to identify the concept of superiority. Along with describing the operational and competitive dimensions of business performance superiority, the opinions and responses of the 89 managers who made up the sample were utilised to describe (process identification and design, process modelling and documentation, process monitoring and controlling, and process optimisation). To validate the study's hypothesised model and draw attention to BPM's role in explaining why some organisations outperform others, researchers performed multiple regression analysis. Organisational managers must provide moral and financial support for business process orientation within the business entrepreneurship window in order for their organisations to maintain a competitive advantage in an uncertain, risky, and potentially volatile environment.

Business process management and digitalization – a reciprocal relationship

Business process management and digitalization – a reciprocal relationship

Intelligent automation computational modelling for contextual consulting services using Industry 4.0

<p>The methodology towards operational management and service delivery associated with consulting firms, irrespective of any business domain, are less revisited in perspective from the automation-based process management. Adoption of Industry 4.0 has been attempted by various researchers from the business process management; however, there are less evidence of any computational model towards it. Apart from this, existing models are accompanied by various loopholes which makes its further challenging to analyze it on practical environment. Hence, the proposed study introduces a novel computational and analytical framework which is capable of performing the predictive modelling in order to meet the contextual service development and delivery demands in distributed environment. The novelty of this model is its inclusion of contextual data aggregation, contextual constraint analysis, predictive maintenence, and self-adjusting machine which are core attributes of Industry 4.0 automation standards. The study outcome shows that proposed system offers 20% cost reduction and 89% of minimized service delivery time in contrast to existing related work. Same has been also observed in benchmarked outcomes with state-of-art models.</p>

Application Regulation Finance to Business Process Management Through and Adaption Technology on Smes in Makassar City

Application Regulation Finance to Business Process Management Through and Adaption Technology on Smes in Makassar City

Розробка та впровадження удосконалених методів управління бізнес-процесами підприємств торгівлі та апк

The study aims to identify methods of improving the management of business processes in trade and agricultural enterprises. Integration and transformational processes in the Ukrainian economy, high competition, pressure of crisis factors, and high unpredictability of changes in the external environment require Ukrainian trade and agricultural enterprises to search for new, more effective management methods constantly. New management methods should be aimed at strengthening the competitive advantages of trade and agricultural enterprises in the market and the stable operation of the enterprise from a strategic perspective. Therefore, one of the most problematic areas is reorienting trade and agricultural enterprises to a high-tech model of improvement and development of business processes. However, the potential benefits of improving the methods of managing business processes of trade and agricultural enterprises within the framework of implementing the development strategy are promising. It allows them to optimize their activity (economic efficiency) while considering future management specifics. The conducted analysis, which was thorough and comprehensive, made it possible to develop and systematize the criteria for evaluating the effectiveness of managing business processes of trade and agricultural enterprises based on the proposed algorithm in accordance with the goals of business processes and consumer requirements. The work has developed a methodology for evaluating and improving the effectiveness of business process management of trade and agro-industrial complex enterprises, which allows the evaluate the business processes of the enterprise of the correspondingly achieved level (effectiveness of business processes) and increases the efficiency of business processes of trade and agro-industrial complex enterprises relative to the industry and global levels (benchmarking of business processes). During the research, the technology of conducting benchmarking was improved, which allows for an increase in the effectiveness of business processes of trade and agricultural enterprises due to the inclusion of a stage for evaluating the effectiveness of the developed measures in the benchmarking process. Thanks to this, a toolkit is proposed to determine the effectiveness of business process management and its ranking based on Harrington’s verbal-numerical scale. The Harrington scale allows you to determine the effectiveness of business processes, considering the results that are obtained that fall into numerical intervals. The paper proposes using the method of analyzing hierarchies to obtain the most reliable value of the performance indicator of the business process management system of trade and agricultural enterprises. Keywords: business process management, assessment criteria, business process performance, business process benchmarking.