International Journal of Business Process Integration and Management (8 papers in press)

Regular Issues

• BUSINESS PROCESS MANAGEMENT IN IMPLEMENTATION ORDERING MANAGEMENT SYSTEM IN SUPPLY CHAIN COMPANY  
  by Roy Pisela, Nilo Legowo 
  Abstract: Supply chains are highly complex business process and interconnected structures essential to the success of any company. Quick service restaurants in particular need optimal supply chain performance to ensure they have the right amount of food products and other supplies to support a new product launch, deliver on a promotion or simply provide a great customer experience. The supply chain plays a major role in modern enterprises to gain a competitive advantage in today's business environment. Since the elements of supply chain have been typically separate and independent entities, the main objective of supply chain management is to develop a mechanism to prioritise goals and to coordinate activities for optimal implementation of system. Information is the most significant element of coordination. Information technology can be used to help implement the participation of supply chain elements in the supply chain system. These critical business challenges are driving the need to focus on creating strong business process management in supply chain solution through implementation ordering management system information.
  Keywords: supply chain; quick service restaurant; ordering management system; business process management; business process.
  
  
• Optimising text mining applications for enhanced medical decision making  
  by Rym Zwawi, Emna Ammar Elhadjamor, Sonia Ayachi Ghannouchi, Slah-Eddine Ghannouchi 
  Abstract: The exponential growth of electronic medical records (EMRs) has increased the need for efficient data management and decision-support solutions in healthcare. This study presents a practical text-mining approach designed to support medical experts of the National Health Insurance Fund (CNAM) in Tunisia in assessing lumbalgia cases. Using regular expressions and machine learning techniques, unstructured reports from medical experts are automatically transformed into structured datasets, enabling faster and more reliable decision making. The system, developed in Python, processes 255 Word-format expert reports and converts them into a structured Excel database with 98% accuracy, as validated by domain specialists. This workflow significantly reduces processing time and enhances data quality. By integrating structured datasets with predictive analytics, the proposed approach improves medical decision support and demonstrates the potential of engineered text-mining solutions for broader healthcare applications.
  Keywords: text mining; unstructured medical expert reports; medical decision-making; machine learning; electronic medical records; EMRs; healthcare optimisation.
  DOI: 10.1504/IJBPIM.2025.10075369
   
  
• Impact of cultural differences on standardisation in international shared service centres  
  by Pawel Pietruszewski 
  Abstract: This study explores how cultural differences impact business process standardisation in international shared service centres. Despite the widespread adoption of such centres, cultural influences on implementing and maintaining standardised processes remain underexplored. Using a mixed-methods approach, we surveyed 160 employees from a Swedish multinational company and 150 Polish employees from three organisations. This design captures how national, organisational, and professional cultures affect standardisation preferences and behaviours. Findings reveal that high uncertainty avoidance drives a preference for clear, well-defined processes but fosters resistance to change. High power distance supports adherence to top-down directives but discourages open feedback and continuous improvement. We propose a model explaining how these cultural dimensions influence the process-management cycle and illustrate its practical use through a case study of Swedish shared service centres. The study offers tools for organisational planning, personnel management, and process design, helping managers anticipate resistance, improve communication, and adapt implementation strategies across cultures.
  Keywords: business process management; shared services; standardisation; cultural differences; uncertainty avoidance; power distance.
  DOI: 10.1504/IJBPIM.2025.10075251
   
  
• The uncharted nexus: exploring the mediating role of green attitude in the influence of financial knowledge and personality traits on green investment decisions  
  by Hari Prapan Sharma, Tanushree Gupta, Akash Kumar Srivastava, Nitin Sharma 
  Abstract: This study addresses a key research gap: the combined influence of financial knowledge and personality traits on green investment behaviour, particularly within the Indian context. We investigate the mediating role of green attitude in this relationship, using a cross-sectional survey of 422 Indian respondents. Results show that financial literacy and green subjective norms significantly and positively predict green attitudes, a novel finding. However, personality characteristics showed an unexpected, insignificant negative effect. We also found that financial literacy and green subjective norms influence financial self-efficacy, which in turn positively shapes green investment attitudes. These findings extend the theory of planned behaviour to green finance, underscoring the pivotal role of attitude as a psychological mediator. From a practical perspective, our research offers policymakers and financial advisors valuable insights into cultivating positive green attitudes and encouraging sustainable investment behaviours through enhanced financial literacy and the leverage of social norms.
  Keywords: financial knowledge; personality traits; green investment behaviour; financial efficacy; financial literacy.
  DOI: 10.1504/IJBPIM.2025.10075215
   
  
• A framework for using process mining in process discovery and assessment in robotic process automation  
  by Mohamed A. El-Tanany, Alaa-Eldin Adris, Hebatalla Kaoud 
  Abstract: This study explores the impact of process mining on process discovery and assessment in robotic process automation (RPA) using a qualitative, two-phase interview approach. Findings indicate process mining positively enhances accuracy in process discovery due to accurate event logs. However, manual intervention remains crucial, especially for complex processes, as process mining alone is insufficient. A framework was developed to integrate process mining into RPA initiatives, offering a standardised methodology. Only 13 of 63 relevant process metrics are directly attainable with current process mining algorithms, highlighting the limitations of this approach as a sole source. The proposed framework, including a fitness funnel and robotics development lifecycle management, provides a structured, data-driven approach to optimise RPA implementation, resource allocation, and ROI.
  Keywords: process mining; robotic process automation; RPA; process discovery and assessment.
  DOI: 10.1504/IJBPIM.2025.10075214
   
  
• The cost-efficiency evaluation of the occupational health and safety management system of an elevator manufacturing company  
  by Juan Miguel Cleffi Patrone, Yuri Dias Hamdan, Rodrigo Frank de Souza Gomes, Daniel Pacheco Lacerda, Fabio Antonio Sartori Piran 
  Abstract: It is important to evaluate the efficiency of occupational health and safety management systems (OHSMS). This study aims to evaluate the cost efficiency of the occupational health and safety management system (OHSMS). Efficiency will be assessed in a panel between 2020 and 2022 through a case study embedded in 18 business units in Brazil based on internal benchmarking. Cost efficiency was assessed using data envelopment analysis (DEA). The results show that six of the decision making units (DMUs) manage economic resources efficiently, becoming a benchmark for the others. The DMUs with the lowest efficiency and the most significant resource gain to reach the levels of the best DMUs were also identified. This study contributes to expanding scientific knowledge on the importance of cost efficiency in occupational health and safety systems and presents a methodology to improve resource management.
  Keywords: data envelopment analysis; DEA; decision making units; efficiency; internal benchmarking; occupational health and safety management system; OHSMS.
  DOI: 10.1504/IJBPIM.2025.10075216
   
  
• AI driven digital transformation in sustainable green banking: a study on the impact of AI-powered FinTech innovations on banking efficiency and customer satisfaction  
  by Prabhakar Bethapudi, Amrita Singh, Rajeshwari R. Parmar, Charu Goyal 
  Abstract: Artificial intelligence (AI) in the banking sector transforms conventional financial services by enhancing operational efficiency, improving customer experience. This study examines how AI enhances sustainable green banking in Indian commercial banks by improving efficiency, customer satisfaction, and environmental responsibility. Using primary data from 385 customers across SBI, HDFC, ICICI, PNB, and Axis Bank, the research employed SPSS-based analyses including regression, ANOVA, and factor analysis and model fit. Results show 65% of respondents reported faster, more secure services due to AI tools such as chatbots, automated credit systems, and fraud detection. A strong positive relationship was found between AI adoption and customer satisfaction (adjusted R² = 0.819). Demographic factors like gender, income, education, and region influenced AI perceptions. Five key factors emerged: personal finance management, trust, investment advice, security, and efficiency. The study recommends transparent, personalised AI strategies, stronger privacy safeguards, and algorithmic fairness to build customer trust and promote sustainability in banking.
  Keywords: artificial intelligence; green banking; customer satisfaction; FinTech; fraud detection; personalised banking; digital transformation; sustainability.
  DOI: 10.1504/IJBPIM.2025.10074545
   
  
• The impact of the digital economy on SMEs: a systematic literature review based on organisational and environmental moderators  
  by Yunfeng Li, Noorasiah Sulaiman, Feng Guo, Shaomei Lu 
  Abstract: Centring on the core topic of the digital economy's impact on small and medium-sized enterprises (SMEs), this study conducts a systematic literature review and analysis in accordance with the standard procedures of the PRISMA protocol. The study specifically focuses on two aspects: on the one hand, the mediating role played by organisational capabilities, and on the other hand, the moderating effect exerted by the external environment. The findings reveal that digital technologies (e-commerce, cloud computing, big data) enhance SME performance by enabling market expansion and operational efficiency. Crucially, organisational capabilities are identified as a key mediator, translating technology adoption into performance gains, while external factors like government policy and market competition significantly moderate this relationship. By integrating these elements into the TOE framework, this study offers a nuanced model for understanding SME digitalisation, providing valuable insights for both policymakers and managers to better support digital transformation.
  Keywords: digital economy; SME performance; organisation; external environment; preferred reporting items for systematic reviews and meta-analyses; PRISMA; digital transformation.
  DOI: 10.1504/IJBPIM.2025.10075823