Business Process Optimization Research Articles

The use of Lean management to optimize business processes in the enterprise

The article examines the problems of using Lean management, which is significant in fierce competition, economic challenges, and shocks. Industrial enterprises are forced to look for effective methods of optimizing production. Traditional approaches that rely on reducing staff or increasing the load on equipment demonstrate their inconsistency in the long term. Within the framework of the conceptual provisions of lean management, a fundamentally different view is proposed on improving the efficiency of business processes through systematic detection and elimination of losses. There are contradictions among scientists between the theoretical models of integration of the considered tools and the practical results of their application. There are serious disagreements about the universality of the methods and the possibility of their adaptation to specific business conditions. Based on this, the purpose of the study is to systematize the existing ideas, taking into account the existing differences in views and judgments. As a result, it was found that the successful implementation of Lean management requires consistency: not only technical aspects are fundamental, but also the transformation of corporate culture. Based on the characteristics of advantages and limitations, the determining success factors are identified: management involvement, gradual change in production culture, and continuous staff training. The materials of the article are of practical value for company executives, production optimization specialists, and consultants.

ЕФЕКТИВНІСТЬ БІЗНЕС-ПРОЦЕСІВ НА ОСНОВІ ТЕХНОЛОГІЙ ОЩАДЛИВОГО ВИРОБНИЦТВА

The article examines the issue of increasing the efficiency of business processes based on Lean Production technologies. Lean production is a modern management concept aimed at minimizing losses and optimizing enterprise resources. The article compares the efficiency of implementing lean production technologies to optimize business processes at enterprises and the impact of Lean technologies on cost reduction, improvement of the quality of goods and services, and productivity improvement. In particular, the main tools of lean production, such as 5S, kanban, kaizen, standardization of work processes, and their impact on reducing costs, improving product quality, and shortening production cycles are considered. It has been established that the application of Lean technologies helps to identify and eliminate actions that do not add value to the end user, thereby improving the performance of the entire technological production system. The importance of involving personnel in the process of implementing changes and forming a corporate culture focused on continuous improvement are emphasized separately. It has been established that the introduction of Lean Production tools improves the links of the technological cycle and ensures an increase in the efficiency of business processes at the enterprise. The choice of a specific tool depends on the strategic goals of the enterprise, the industry and the level of personnel training. It has been proven that in the national business environment there is a number of barriers that prevent the introduction of lean production technologies, such as: resistance to changes in personnel and management, personnel training, limitations in financial resources, insufficient flexibility of suppliers and untimely provision of resources, as well as instability of the national economy. The results of the study indicate that the implementation of Lean Production allows to significantly increase the efficiency of business processes, reduce costs, improve product quality and increase the flexibility of the enterprise in conditions of instability of the market environment. Key words: lean production, Lean Production, business process efficiency, cost optimization, product quality, production cycles, corporate culture.

Optimization of Business Processes Through BPM Methodology: A Case Study on Data Analysis and Performance Improvement

This study explores the application of the BPM lifecycle to optimize the market analysis process within the market intelligence department of a major energy company. The semi-structured, virtual nature of the process necessitated careful adaptation of BPM methodology, starting with process discovery through data collection, modeling, and validation. Qualitative analysis, including value-added and root-cause analysis, revealed inefficiencies. The redesign strategy focused on selective automation using Python 3.10 scripts and Power BI dashboards, incorporating techniques such as linear programming and forecasting to improve process efficiency and quality while maintaining flexibility. Post-implementation, monitoring through a questionnaire showed positive results, though ongoing interviews were recommended for sustained performance evaluation. This study highlights the value of BPM methodology in enhancing decision-critical processes and offers a model for adaptable, value-driven process improvements in complex organizational environments.

Optimization of Business Processes in Retail to Increase Efficiency

Optimization of Business Processes in Retail to Increase Efficiency

Optimalisasi Proses Bisnis Menggunakan Metode Business Process Analysis (BPA) pada PT. XYZ

PT XYZ is one of the strategic industries owned by BUMN that produces the main defense equipment for Indonesia's defense system, especially in the maritime sector. In practice, the process of utilizing and managing assets at PT XYZ is in the Asset & Infrastructure Optimization Department which has various operational steps for asset management starting from the asset mapping process to utilizing these assets. This research aims to analyze and optimize business processes in asset management in the Asset & Infrastructure Optimization Department. The research method used is observation and interviews with related parties as well as Business Process Modeling and Notation analysis. The purpose and objective is to provide recommendations in optimizing business processes and increasing efficiency in managing company assets. One of the problems identified was the slow signing and return of agreement letters which caused delays in issuing invoices and payments. Recommendations included creating standard operating procedures, implementing electronic-based contracts and invoices, and utilizing technology for document delivery and storage. Overall, this research aims to improve operational performance and maximize the contribution of PT XYZ's assets to revenue.

THE INNOVATIVE IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE ON DIGITAL BUSINESS TRANSFORMATION

In the context of intensifying competition and evolving market dynamics, the deployment of cutting-edge technologies has become not merely a discretionary choice, but an indispensable imperative for any enterprise aspiring to achieve successful growth. Generative artificial intelligence, with its substantial potential for automation, personalisation and optimisation of business processes, is emerging as a highly promising avenue of digital transformation. This study is dedicated to investigating approaches and delineating strategies for aligning generative artificial intelligence with the requirements of digital business transformation. The research examines the development of artificial intelligence, with a focus on symbolic artificial intelligence, machine learning, deep learning and generative artificial intelligence. In addition, it considers the impact of these developments on business processes. The article identifies the potential benefits and challenges associated with the adaptation of generative artificial intelligence to the needs of modern business, in the areas of marketing, sales and data analysis. The utilisation of diverse methodologies and techniques, including prompts, fine-tuning, and the incorporation of interactive guidance systems, can enhance the efficacy and precision of generative AI in a business setting, thereby facilitating optimal outcomes in a multitude of tasks. The authors put forth the proposition of employing generative artificial intelligence technology in conjunction with Retrieval-Augmented Generation, with the objective of enhancing the quality and relevance of responses to user queries. Additionally, they advocate for the utilisation of agents or orchestration tools to provide guidance to models. The successful implementation of generative artificial intelligence hinges on three key factors: the clear definition of objectives, the selection of suitable tools and technologies, and the assurance of managerial and staff support. The implementation of generative artificial intelligence will contribute to increased efficiency through the automation of routine tasks, enhanced competitiveness through personalisation and innovation, optimised cost structures that increase profitability, and expanded opportunities for research and development.

Analyzing financial analysts' role in business optimization and advanced data analytics

This paper explores the evolving role of financial analysts in business optimization, focusing on their increasing reliance on advanced data analytics to drive strategic decision-making. It examines the historical shift from traditional financial analysis to more data-centric responsibilities, highlighting how modern financial analysts contribute to operational efficiency, cost reduction, and revenue growth through data-driven insights. Integrating advanced tools such as artificial intelligence, machine learning, and predictive analytics has enabled financial analysts to interpret complex datasets, optimize business processes, and improve market positioning. However, adopting these technologies comes with challenges, including a steep learning curve, data integration difficulties, and ethical concerns related to data privacy and bias in AI algorithms. This paper also discusses future trends in financial analysis, emphasizing the growing importance of real-time data analysis and automation in business optimization. The paper concludes by stressing the need for financial analysts to continually adapt to the rapidly evolving technological landscape to effectively shape corporate strategy.

Influence of Business Process Re-Engineering on Customer Satisfaction in Corporate Organisations: A Case of Sterling Bank PLC.

Business Process Re-Engineering (BPR) has emerged as a crucial strategic tool for organisations aiming to enhance performance and competitiveness in today’s dynamic market. This study examines the influence of BPR on customer satisfaction within corporate organisations, with a particular focus on Sterling Bank Plc. A survey research design was adopted, utilising structured questionnaires to collect quantitative and qualitative data from 100 bank employees. The data were analysed using multiple linear regression to determine the influence of BPR practices and customer satisfaction in corporate organisations. The results reveal a strong positive correlation, with an adjusted R-squared value of 56.8% and a standardised coefficient of 0.775, indicating that effective BPR implementation significantly enhances customer satisfaction (p-value = 0.000). The findings demonstrate that BPR is essential for improving customer loyalty, service quality, and overall organisational success. It underscores the role of BPR in fostering a customer-centric approach, which is critical in a highly competitive business environment. To maximise these benefits, the study recommends that organisations continuously review and refine their BPR strategies, invest in employee training, and leverage advanced technologies to optimise business processes. Furthermore, fostering a culture of innovation and responsiveness and implementing regular feedback mechanisms is vital for ensuring that BPR efforts align with customer expectations and drive long-term improvements in organisational performance.

Leveraging Business Analytics for Enhanced Decision-Making Navigating Challenges and Exploiting Opportunities

Business analytics (BA) is revolutionizing how businesses use data to gain a competitive advantage. It offers opportunities for deeper customer insights, targeted marketing campaigns, improved customer satisfaction, new product and service opportunities, and optimized business processes. However, challenges like data quality, talent acquisition, and ethical considerations exist. This study reviews BA literature and discusses the challenges faced by organizations in implementing business analytics, including data availability, quality, skills and training, and technology infrastructure considerations. We conducted a study on 133 analytics professionals in Lahore, Pakistan. Data availability and quality, skills and training, and technology infrastructure all had a positive and significant impact on business analytics challenges and opportunities. The findings aim to contribute to a better understanding of business analytics, implementation challenges, and opportunities.

Optimizing Business Processes: Harnessing Robotic Process Automation in Chinese Enterprises

Abstract: With the continuous development of science and technology, the study of digital technology in China has become increasingly in-depth. As an effective means for enterprises to achieve automated management and standardized operations, Robotic Process Automation (RPA) has attracted widespread attention. RPA process automation technology can improve the efficiency of financial management and ensure the quality of work while meeting enterprise development needs. This study explores the multifaceted applications and impact of RPA in the financial shared services sector. By utilizing RPA, companies can streamline processes, reduce costs and increase overall operational flexibility. The study delves into the theoretical underpinnings of RPA adoption, drawing on concepts such as economies of scale, process reengineering and information processing theory. In addition, the paper illuminates the transformative impact of RPA on business operations through field case studies, including the pioneering efforts of Sinochem International. By providing a comprehensive analysis of the pros and cons of RPA implementation, this paper provides valuable insights for Chinese companies seeking to optimize their business processes and embrace the era of intelligent automation.

A Business Management Model in the Circular Economy: Technological Solutions for Plastic Recycling

Objectives: this article develops a model for managing business processes in a circular economy using technologies for plastic recycling. Theoretical Framework: The theoretical idea and basis of the article consists in the development of project management methodology, process approach in the closed-loop economy, development of methods and economic tools aimed at effective resource management taking into account waste reduction and increased reuse of plastic fractions in Municipal Solid Waste (MSW). The application of digital technologies and solutions in the context of business process management in the field of plastics recycling will be substantiated, which will allow to identify new opportunities and reserves for optimising business processes in this field, increasing the efficiency of resource use, improving the environment and reducing costs. Method: the work uses a project approach, a process approach, digital modeling methods, and the “polluter pays” method. To implement the process approach, it is proposed to use the concept of Business Process Management (BPM). Competent business process management allows the company to react quickly to changing market conditions and customer orientation. Digital modelling in this paper means the representation of actions in the form of business processes in the organisation of solid waste management, the 'polluter pays' method means the economic assessment and accounting of environmental damage in waste management in the costs of business processes. Results and Discussion: The results of the study can be used to introduce the process approach to plastics recycling in individual regions and countries for the development of a green economy. According to the estimates of the authors, the optimisation and cost reduction of business processes, taking into account the environmental factor and the increase of the revenue part of the project from the reuse and inclusion in the economic turnover of plastic waste recycling products on the scale of the considered city (population of 1800 thousand people, area of 2856 ha, 18.14 tonnes of plastic waste accumulated per day) will reduce the costs of business process management by more than 200 thousand euros. Research Implications: the results of the study can be used to justify projects for the processing and recycling of solid municipal waste, including plastic waste, to introduce environmentally friendly production, to reduce the negative impact on the environment, to develop a process approach to the organisation of all activities for the collection of plastic waste in the city, district. In addition, the application of the proposed approach allows to obtain economic benefits for companies through the sale of secondary resources for the processing of plastic waste, as well as to reduce the negative impact on the environment. Originality/ Value: The originality of the research and its value lies in a new scientific formulation of the problem of reducing environmental pollution from plastic waste through the use of business processes in the field of plastic recycling and digital solutions, as well as the possibility of practical application of the results obtained in the field of green economy.

Managing the modification of digital marketing and logistics under the influence of artificial intelligence

The purpose of the study is to develop a methodology for determining the modification of digital marketing and logistics and the peculiarities of their management under the influence of artificial intelligence. A theoretical and methodological analysis of existing research was carried out, relevance and purposefulness of the study is substantiated on the basis of scientific generalization. It has been proven that the functioning of modern business is inextricably linked with transformations, which characterized by the intense influence of artificial intelligence. Development trends have been identified and a classification of the main artificial intelligence technologies has developed, which necessitate the need for effective management of modifications in digital marketing and logistics of modern companies. Structured indicators of the dynamics of development of digital marketing and logistics pressure the influence of artificial intelligence. It is substantiated that the penetration of artificial intelligence into the management of digital marketing and logistics of modern companies leads to their modification, which is due to the automation and optimization of business processes. An economic and statistical analysis of the interdependence of trends in the development of digital marketing and trends in the contract logistics market for the Gulf Cooperation Council was carried out. The interdependence is determined and the main prospects for the development of digital marketing and logistics are argued in the context of the impact of artificial intelligence. The results have practical value and can be used to formulate a methodology for managing modifications in digital marketing and logistics of modern companies.

Integrating artificial intelligence into ERP systems: advantages, disadvantages and prospects

Objective: to identify the key benefits and potential risks associated with the use of artificial intelligence in ERP systems to improve decision-making processes, management efficiency and operational performance of various sectors, including commercial and non-profit organizations. Methods: systematic literature review, empirical data analysis, analytical and experimental research methods. Results: the key directions of artificial intelligence implementation in ERP-systems are reflected, providing improvement of operational efficiency, customer relations, as well as optimization of business processes, data management, supply chain and personnel management, automation of operations related to finance, optimization of customer relations; implementation of artificial intelligence in ERP-systems reduces inventory management costs, improves the accuracy of forecasting andinventory optimization, accelerates financial analysis and increases the accuracy of budgeting, resulting in reduced budget planning time; it also increases productivity by optimizing necessary production processes and reducing equipment downtime. However, there are also risks of confidential data leakage, unauthorized access to data; job losses due to automation of tasks; and vulnerability to cyberattacks. Scientific novelty: the little-studied directions of artificial intelligence integration in ERP-systems are analyzed; an integrative approach to the application of artificial intelligence in ERP-systems is proposed, which combines methods of machine learning, natural language processing and predictive analytics and provides a comprehensive assessment of the complex impact on the business processes’ efficiency. Practical significance: the formulated directions for solving the identified problems of artificial intelligence integration in ERP-systems can be implemented in practice, as they will enable to better take into account local requirements and laws.

Role of document management system for business processes optimization

The automation of work processes and seamless integration with various business services highlight the essential role of digital document management systems (DMS) in enhancing organizational flexibility, productivity, and adaptability. DMS serve as centralized repositories that streamline, automate, and interconnect business processes, thereby facilitating effective document management. The integration of DMS with Enterprise Resource Planning (ERP) systems provides a comprehensive solution for optimizing business workflows, addressing the needs for both operational efficiency and strategic management. The research paper delineates a business model for the life cycle management of electronic documents and records, focusing on the integration of processes such as document creation, management, approval, and secure distribution. This integrated approach enhances organizational structure, optimizes processes, and bolsters security, leading to significant cost reductions and increased work efficiency. The model emphasizes the importance of streamlined and automated document workflows in reducing manual errors and operational bottlenecks. Key features of DMS include advanced mechanisms for digitizing physical documents, ensuring that all data is captured accurately and efficiently. Centralized storage with version control allows for easy retrieval and management of documents, ensuring that the latest versions are always accessible. Additionally, advanced search and accessibility features enable quick and efficient document retrieval, which is crucial for maintaining high productivity levels. The study underscores the pivotal role of DMS in modern enterprises, advocating their implementation as a strategic move to drive operational excellence and competitive advantage. By integrating DMS with ERP systems, businesses can achieve a cohesive and efficient operational environment that supports both day-to-day activities and long-term strategic goals. This comprehensive approach to document management not only optimizes efficiency and reduces errors but also enhances the overall agility and responsiveness of the organization in a rapidly changing economic environment.

ANALYSIS OF THE IMPACT OF DIGITALIZATION ON THE DEVELOPMENT OF OPPORTUNITIES FOR SMALL AND MEDIUM-SIZED ENTERPRISES

The article analyzes how the use of information and communication technologies and digital marketing tools contribute to increasing competitiveness, optimizing business processes, expanding sales markets, and improving customer relations. This article offers a comprehensive examination of the intricate dynamics between innovation, entrepreneurship, and economic growth, drawing from an extensive review of empirical studies, theoretical frameworks, and policy implications. Through a meticulous analysis of the symbiotic relationship between innovation and entrepreneurship, it elucidates their multifaceted contributions to driving sustained economic prosperity. By delving into the nuanced mechanisms and contextual factors that shape this relationship, the article provides insights for policymakers, researchers, and practitioners seeking to foster innovation-led growth in today's complex global economy. In the context of contemporary economic development, innovation and entrepreneurship have emerged as central pillars driving productivity growth, technological progress, and market dynamism. This paper embarks on a journey to unravel the complex interplay between these two phenomena and how their synergistic relationship shapes the trajectory of economic growth. By examining the underlying mechanisms, empirical evidence, and policy implications, we aim to shed light on the transformative potential of innovation and entrepreneurship in fostering sustainable development and competitiveness. Innovation and entrepreneurship are essential engines of economic growth. Innovation is characterized by the creation and adoption of novel ideas, technologies, and business models, and is a catalyst for entrepreneurial activity by providing opportunities for market differentiation and value creation

Artificial intelligence as a core of the new industrial revolution: prospects and limitations

The purpose of the article is to define prospects and limitations of artificial intelligence as a core of in the new industrial revolution. The definition of the concept of AI in the scientific community remains the subject of heated debate. At the same time, in the regulatory and legal plane, a trend is being formed towards unification of the concept of AI. Based on the analysis conducted and literary sources, the following prospects for AI can be identified on theoretical and practical levels. On theoretical level: (1) alienation of tacit knowledge from the individual (employee and entrepreneur); (2) optimization of the planning system; (3) revision of the socialist-calculation debate; (4) decreasing information asymmetry. On practical level: (1) formation of new products and markets; (2) increasing labor and capital productivity; (3) massive creation of new jobs; (4) optimization of business processes; (5) opportunity for rapid growth for small businesses and startups. Limitations: (1) long-term structural unemployment; (2) inflated expectations from AI and, as a consequence, the possible formation of a speculative bubble in the global stock market; (3) energy consumption of AI; (4) outdated pre-AI corporate culture and regulatory environment. Further improvement of AI (including the transition from AI to AGI) and the expansion of its use can make a significant contribution to solving problems related to economic calculation and minimizing information asymmetry, and therefore optimizing transaction costs in the economy. AI, certainly acting as a locally useful tool at the level of individual enterprises and organizations, causes the acceleration of attracting funds to the stock market, which can lead to the formation of a bubble on global level. If this bubble bursts, expectations about the economic efficiency of AI will be revised, and some AI-related companies will experience significant margin reductions (perhaps losses and bankruptcies). But this, in turn, will initiate the next stage of AI development, will accelerate its transition from the current narrow specialization to the creation of full-fledged general artificial intelligence (artificial general intelligence), which has a greater potential to change the economy at all levels. As a result, AI will become established as the core of the new industrial revolution.

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 tradition to technological advancement: embracing blockchain technology in family businesses

PurposeDespite the rapid advancement of blockchain technology across various sectors, scholarly research on its application within family businesses remains significantly underdeveloped. This study aims to address this gap by examining the application of blockchain technology within family businesses to identify key application domains, benefits and implementation challenges.Design/methodology/approachThe study employs a conceptual approach, drawing on existing literature on family businesses and blockchain technology. This review aimed to identify the unique characteristics of family businesses, their challenges and the distinctive features of blockchain technology that can potentially be mapped to each other. Based on the literature review, we develop a conceptual framework exploring blockchain technology applications in family businesses. Real-world case studies of family businesses that have implemented blockchain technology were identified to provide practical insights and implementation challenges.FindingsBlockchain technology possesses transformative potential for family businesses across several critical domains. It includes enhancing trust and transparency in operations, improving governance and decision-making and facilitating succession planning and intergenerational wealth management. Case study evidence illustrates the tangible benefits of blockchain, including enhanced supply chain transparency, optimized business processes, increased customer trust and resultant business sustainability. Blockchain technology implementation challenges include data privacy concerns, integration with legacy systems, regulatory uncertainty and change management issues.Research limitations/implicationsThis study is limited by its reliance on existing literature and case studies. It may not capture the full spectrum of challenges and opportunities associated with blockchain applications in family businesses. Future research should focus on longitudinal and empirical research to provide a deeper understanding of the impact of blockchain technology application in family businesses.Originality/valueThis study contributes to the literature by exploring the intersection of family businesses and blockchain technology, an area that has received limited academic attention. It identifies potential application domains of blockchain technology in family businesses and develops a conceptual framework based on existing literature. Through case studies, the research provides practical insights and valuable lessons for family businesses considering blockchain implementation. It also addresses key considerations and challenges, providing a clear roadmap for blockchain technology integration in family businesses. The study lays the groundwork for further research and exploration in blockchain technology and family businesses.

Innovative Applications of Artificial Intelligence in Specific Domains

Artificial Intelligence (AI) is experiencing an unprecedented surge in development in today’s era, acting as a powerful wave sweeping across various industries and becoming the core force driving industry transformation. With its unique technological advantages and innovative capabilities, AI has shown remarkable potential in specific fields such as healthcare, education, and industry, opening up new and effective ways to solve long-standing practical problems and significantly enhance efficiency and quality. This paper will closely integrate the rich practical experience of Chongqing Soft River Turing AI Technology Co., Ltd. in relevant fields, and delve into the specific application scenarios, implementation methods, and actual effects of AI in these fields. Through the analysis of specific cases and data support, it reveals how AI can accurately address industry pain points, optimize business processes, improve production efficiency, and enhance service quality, as well as how it can bring extensive and positive impacts on society. We firmly believe that in-depth research and summary of these practical experiences can provide valuable references and insights for the further development of AI in various fields, promoting AI technology to better serve society and create a better future for humanity. At the same time, we also hope to showcase Chongqing Soft River Turing AI Technology Co., Ltd.’s innovative capabilities and leading position in the field of AI, to win more attention and support for the company’s development.

Assessing the Customer Perception of Quick Response (QR) Code Application and their Purchase Intention in Penang's Casual Dining Restaurants, Malaysia

In the era of globalization, some individuals no longer need the physical presence of a human to place an order due to extensive technological advancements that have triggered the use of contactless systems such as QR codes. QR codes represent modern technology that is easy to use by simply scanning the QR code at the guest table providing an easier way to access the restaurant menu. Hence, this study aims to assess the customer’s perception of the usefulness of QR code usage at casual dining restaurants and how the ease of use of QR code applications at casual dining restaurants affects their purchase intention. These factors play a crucial role in any technology-driven initiative's long-term adoption and success. Online questionnaires collected data from 299 valid respondents who have experience scanning QR code at particular casual dining restaurants. The findings indicate that the use of QR codes may have significantly influenced customers' purchase decisions, especially among the younger generation. One key reason cited is the ease of reviewing the menu through the QR code system. Therefore, it is recommended that the food service industry must be more accepting of this technology to gain significant advantages from its implementation. Overall, the study clarifies the potential positive aspects of using QR code ordering systems in restaurants and how they might meet the interests and demands of various client segments. Contactless technologies like QR codes are probably going to play a big part in the foodservice sector's continued evolution in terms of improving customer experiences and optimizing business processes.