Legacy Systems Research Articles

Design of Part Request Form Application and Data Migration

Abstract: The migration of the data form legacy systems to modern enterprise solutions is critical for optimizing business processes and enhancing performance. This paper focuses on comparison of the data migration techniques LSMW and S/4 HANA migration cockpit. The main objective is to optimize the business process through the creation of Part Request Form application in fiori launchpad and performing data migration using S/4 High performance analytic appliance(HANA) migration cock- pit. Traditional methods of data migration has several problems, including performance bottlenecks. Addressing this limitation is essential to ensure seamless data transfer and accurate system integration. This report explores these issues and presents a methodology to address them by using advanced capabilities of the S/4 HANA Migration Cockpit over the conventional Legacy system migration workbench(LSMW) tool. The primary objective of this work is to optimize business process using part request form application. The data comes from the application will be saved in the database table in the user system. That data is extracted into a file and send it to the IT firm where that data will be migrated to the HANA database. The tool used for the data migration is s/4 HANA migration cockpit. The software used for this project is SAP-ERP software. The Results from the simulation shows that migration cockpit process is 48% faster than LSMW technique. The part request form application uses 12 kilo bytes of memory which is very less and the processing time is 0.1 seconds which is very less. These results highlight advantages of using an application in data warehouse and the effectiveness of the S/4 HANA Migration Cockpit in optimizing business processes within warehouse environment.

ASSESSING THE IMPACT OF CUSTOMER AWARENESS ON GREEN BANKING PRACTICES IN PUBLIC AND PRIVATE SECTOR BANKS IN KARNATAKA

Green banking which integrates the environmental sustainability into financial services has gained prominence as a means for banks to contribute to sustainable development. The research employs a quantitative survey to assess how customer awareness influences the implementation of green banking initiatives. A sample of 400 customers and 40 bank managers from both public and private sector banks was selected to provide a comprehensive analysis. The findings indicate that customer awareness is a significant driver of green banking adoption across both sectors. Private sector banks characterized by higher technological innovation and customer-centric approaches and demonstrates a stronger correlation between customer awareness and the adoption of green practices associated to public sector banks. However, public sector banks with their broader reach the potentiality to lead the green banking movement, particularly in rural areas, despite facing challenges related to legacy systems and resource limitations. The study concludes that enhancing customer awareness and engagement is a crucial for advancing green banking practices. Banks that prioritize sustainability and effectively communicate the benefits of green banking to their customers are likely to gain a competitive advantage. The present study focuses on Assessing the Impact of Customer Awareness on Green Banking Practices in Public and Private Sector Banks in Karnataka to offers valuable insights for policymakers, banks, and stakeholders aiming to promote environmental sustainability within the financial sector.

Impact of Blockchain on FinTech and Payment Systems

Purpose: FinTech, which is all about using technology in finance, has been changing a lot lately because of something called blockchain. Blockchain was first used for Bitcoin but has become important in finance and other areas. This paper argues that block chain technology addresses these concerns by enhancing the safety and speed of transactions. Through blockchain and tokenization, financial services are becoming more efficient and user-friendly. Methodology: This paper talks about theories and uses different kinds of sources like books, articles, and online materials. It focuses on Blockchain Technology, looking at its features, functions, and types. Different websites of different companies working on blockchain have been checked to see the impact of blockchain in today’s world. Findings: Blockchain technology is changing financial technology (FinTech) by making payments and transactions more secure and transparent. Its decentralized design improves security and benefits both consumers and financial institutions. Unique Contribution to theory, practice and policy(recommendations): The potential of blockchain interoperability protocols to securely transfer data and value between legacy systems and a myriad of blockchains, driving innovation and efficiency in the financial industry. The partnership between Swift, major financial institutions, and Chain link highlights the importance of making different blockchain networks work together smoothly. This is crucial for the next stage of digital asset adoption in the global financial system. It shows that even the largest banks and financial infrastructures can achieve interoperability between various blockchains with minimal resources.

Impact of Blockchain on FinTech and Payment Systems

Purpose: FinTech, which is all about using technology in finance, has been changing a lot lately because of something called blockchain. Blockchain was first used for Bitcoin but has become important in finance and other areas. This paper argues that block chain technology addresses these concerns by enhancing the safety and speed of transactions. Through blockchain and tokenization, financial services are becoming more efficient and user-friendly. Methodology: This paper talks about theories and uses different kinds of sources like books, articles, and online materials. It focuses on Blockchain Technology, looking at its features, functions, and types. Different websites of different companies working on blockchain have been checked to see the impact of blockchain in today’s world. Findings: Blockchain technology is changing financial technology (FinTech) by making payments and transactions more secure and transparent. Its decentralized design improves security and benefits both consumers and financial institutions. Unique Contribution to theory, practice and policy(recommendations): The potential of blockchain interoperability protocols to securely transfer data and value between legacy systems and a myriad of blockchains, driving innovation and efficiency in the financial industry. The partnership between Swift, major financial institutions, and Chain link highlights the importance of making different blockchain networks work together smoothly. This is crucial for the next stage of digital asset adoption in the global financial system. It shows that even the largest banks and financial infrastructures can achieve interoperability between various blockchains with minimal resources.

Impact of Enterprise Systems on User Performance using the IGRACIAS V.1 Application at Telkom University Jakarta

Telkom University Jakarta is a new educational institution, previously known as Institut Teknologi Telkom Jakarta. Telkom University Jakarta Campus obtained a legacy system called IGRACIAS V.1 as an education management software. The IGRACIAS V.1 application raised the question of whether legacy applications in new institutions can accelerate the flow of education management in pursuing competitors. This research provided a deeper exploration of the influence of legacy enterprise system applications implemented in new institutions. The impact of legacy applications requires accurate measurement to serve as a reference for further development. The IT Balanced scorecard was chosen to measure whether the implementation of the legacy IGRACIAS V.1 application has had an impact and development direction that is in line with the goals of the new institution. The results show that two domains based on the IT Balanced scorecard need improvement, namely User Orientation and Future Orientation.

Enhancing Security, Transparency, and Efficiency of Blockchain Technology in Pharmaceutical Supply Chain

Blockchain technology has emerged as a promising solution to address persistent challenges like lack of transparency, inefficient tracking, and counterfeiting issues in pharmaceutical supply chains. However, there are still limitations in integrating blockchain with existing legacy systems, lack of common standards, scalability concerns due to its decentralized architecture, and lack of regulatory clarity that need to be addressed before successful implementation in the pharmaceutical industry is feasible. This review explores the potential benefits and current use cases of blockchain in enabling drug traceability, establishing authenticity and integrity of data, facilitating smart contracts for seamless financial transactions, and optimizing overall supply chain operations. The current blockchain-based solutions employed by various stakeholders like drug manufacturers, wholesalers, distributors, retailers, hospitals, and regulators across the different stages of the pharmaceutical value chain are reviewed in this article. Recent research efforts to mitigate the key challenges are discussed, including technical improvements in blockchain architecture for increased security and privacy, the use of permissioned blockchains, innovative consensus protocols to improve scalability, and growing regulatory guidance. The future outlook highlights the tremendous opportunities for blockchain to enable end-to-end visibility, accountability, automation, real-time monitoring and combating counterfeiting in pharmaceutical supply chains through collaborative efforts among stakeholders.

Unmasking the Subconscious Fallacies Within Critical Infrastructure Protection

Cybersecurity, a vital challenge in today’s ever-changing digital world, it has gained prominence with the global shift towards cyber-enabled critical infrastructures. Critical infrastructure protection efforts are fundamental for the continuation of essential services. Traditionally constituted as separate sectors, these infrastructures are increasingly interconnected, leading to potential domino effects during security breaches. For instance, failures within the power grid could have cascading effects on multiple sectors that depend on electricity for their operations, creating large-scale failures that affect functions on which society depends. The multidimensional nature of the infrastructures presents complex challenges for solutions, given their status as long-established legacy systems needing further development and enhancements to withstand the digital world. The lack of a concerted and focused infrastructure enhancement strategy has led to incremental approaches versus a comprehensive revamp to ensure a holistic cyber protection program. A lack of national focus has created inconsistencies that can lead to potentially catastrophic consequences. Understanding the decision-making processes within a complex environment is critical to the mission success. One significant risk is the cognitive roadblocks that have the potential to influence one’s judgements as this often outweighs balanced decisions. This study aims to investigate the subconscious biases that arise from a perceived resolution of the problem which can lead to de-prioritization within the decision-making processes. The study employs a convergent parallel mixed methods design to collect and analyse the data. The study then will compare the results allowing for the exploration of various aspects of the research. This approach is aligned to provide a thorough understanding of the challenges associated with protecting the infrastructures and the underlying subconscious fallacies in the digital age, thereby devising effective mitigation strategies, and fostering a more sustainable and resilient critical infrastructure that is useful for a variety of stakeholders, including policymakers, infrastructure owners and operators, cybersecurity professionals, and researchers

Agile model-driven re-engineering

AbstractIn this paper we describe an Agile model-driven engineering (MDE) approach, AMDRE, for the re-engineering of legacy systems. The objective is to support the reuse of business-critical functionality from such systems and the porting of legacy code to modernised platforms, together with technical debt reduction to improve the system maintainability and extend its useful life. AMDRE uses a lightweight MDE process which involves the automated abstraction of software systems to UML specifications and the interactive application of refactoring and rearchitecting transformations to remove quality flaws and architectural flaws. We demonstrate the approach on Visual Basic, COBOL and Python legacy codes, including a finance industry case. Significant quality improvements are achieved, and translation accuracy over 80% is demonstrated. In comparison to other MDE re-engineering approaches, AMDRE does not require high MDE skills and should be usable by mainstream software practitioners.

DATA-DRIVEN TRANSFORMATION: OPTIMIZING ENTERPRISE FINANCIAL MANAGEMENT AND DECISION-MAKING WITH BIG DATA

This study explores the transformative impact of big data on enterprise financial management, highlighting significant improvements in decision-making efficiency, data quality, and risk management capabilities. Through a mixed-methods approach that includes meta-analysis, surveys, interviews, and case studies, the research reveals a substantial increase in decision-making efficiency, better integration of diverse data sources, and more accurate financial reporting. Practical benefits such as reduced data processing times and improved credit risk assessments are identified, alongside challenges like the skill gap in data science, cultural resistance, and technical difficulties in integrating new technologies with legacy systems. Addressing these challenges requires strategic leadership, continuous training, and investment in scalable infrastructure. Despite these hurdles, the long-term advantages of big data adoption, including enhanced financial reporting and resource allocation, underscore its value in driving organizational performance and competitiveness. This study provides empirical evidence and practical insights, offering a valuable foundation for organizations aiming to leverage big data in their financial management practices.

Review of Cloud Migration Strategies: Exploring Advantages, Challenges and Cost Analysis

Cloud migration has emerged as a strategic im- perative for organizations seeking to leverage the scalability, flexibility, and cost efficiencies offered by cloud computing. This paper presents a comprehensive survey of organizational cloud migration strategies, focusing on the advantages, challenges, and cost analysis associated with this transformative process. The study begins by elucidating the conceptual framework of cloud migration, delineating its fundamental principles and terminolo- gies. Subsequently, it delves into the myriad advantages that com- pel organizations to migrate from on-premises infrastructures to cloud-based solutions. These advantages include enhanced scalability, improved resource utilization, and accelerated time- to-market for new initiatives. However, the migration journey is fraught with challenges, ranging from data security concerns to compatibility issues with legacy systems. This paper meticulously examines these challenges and elucidates strategies employed by organizations to overcome them, thereby ensuring a smooth tran- sition to the cloud. Cost analysis constitutes a pivotal aspect of cloud migration decision-making. This study offers insights into the cost implications associated with various cloud deployment models, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). By conducting a comparative analysis of capital expenditures (CapEx) and op- erational expenditures (OpEx) incurred in both on-premises and cloud environments, organizations can make informed decisions regarding cost optimization and resource allocation. Further- more, the paper explores the critical considerations surrounding data security, regulatory compliance, and vendor selection in the context of cloud migration. Real-world case studies are presented to illustrate successful migration strategies adopted by leading organizations across diverse industries. Keywords —Cloud migration, Cost analysis, Strategies, Re- hosting, Replatforming, Refactoring, Repurchasing, Retiring, Retaining

A Comprehensive Survey on ServiceNow for IT Service Management

This paper presents a comprehensive survey on the utilization of ServiceNow in IT Service Management (ITSM), fo- cusing on its adoption, benefits, challenges, and future directions. The study employs a systematic literature review and industry reports to analyze the impact of ServiceNow on ITSM practices across various sectors. Key findings reveal that ServiceNow sig- nificantly enhances ITSM processes through automation, stream- lining workflows, and improving service delivery. The survey also identifies common challenges in implementing ServiceNow, such as resistance to change and integration difficulties with legacy systems, and proposes strategies for overcoming these obstacles. Furthermore, the paper explores emerging trends in ITSM, including the integration of artificial intelligence (AI) and machine learning (ML), and discusses how ServiceNow is positioned to leverage these technologies for future growth. The study concludes by emphasizing the critical role of ServiceNow in facilitating digital transformation and enhancing organizational efficiency in ITSM. Keywords —ITSM, ServiceNow, ITIL, Cloud Computing, Dig- ital Transformation, IT Operations Management.

From legacy systems to modernisation: A case study on migrating to a new customer relationship management system

This paper presents a case study of how one mid-size institution of higher education found themselves modernising their database of record with a new customer relationship management (CRM) system, while managing the realities of limited funding and staffing, changing strategies and organisational legacies of longstanding policies and processes. At their core, changes to systems are organisational changes. Software systems are updated in line with the changing technological improvements in global cultures and their intersection with the evolving needs of institutional strategies. At its best, a system and software update's primary purposes are to serve and amplify the people who design, build and work within those systems. As with everything involving change, there needs to be an honest assessment of the organisation's strengths and weaknesses in the areas of cultural readiness for the necessary human engagement and support for the updated systems, an actionable plan hung firmly on the vision and strategies outlining the specified changes and, most crucially, an evolving staffing alignment of skilled professionals to business needs. CRM conversions are a worthy test of these three essential pillars of successful systems change.

Fast Identity Online 2 :Authentication Technique

Fast Identity Online 2 (FIDO2) emerges as a transformative solution to the vulnerabilities inherent in traditional password-based authentication methods. Leveraging public key cryptography and authenticators, it establishes a passwordless authentication paradigm, extending its relevance beyond web applications to diverse realms such as online payments and government services. This paper explores FIDO2's emphasis on a seamless user experience while bolstering security measures through innovative credential management techniques. The acceptance of FIDO2 on major browsers ensures its usability on mobile devices, with most modern devices equipped to support FIDO2 authentication, thus expanding its reach and applicability. Additionally, its adoption by major tech companies and standards bodies underscores its credibility and potential for widespread adoption. However, challenges remain, including overcoming legacy systems, addressing compatibility issues, and ensuring user education. Despite these challenges, FIDO2 represents a significant advancement in online authentication, offering strong security, usability, and privacy features, positioning it as a key enabler of the passwordless authentication paradigm. Keywords: Public key cryptosystem, challenge, relying party, web browser and web authentication.

ADVANCED CYBERSECURITY PROTOCOLS FOR SECURING DATA MANAGEMENT SYSTEMS IN INDUSTRIAL AND HEALTHCARE ENVIRONMENTS

The increasing digitalization of industrial and healthcare environments has heightened the importance of cybersecurity to protect sensitive data and ensure the integrity of data management systems. This article examines advanced cybersecurity protocols designed to address the unique challenges faced by these sectors. It explores various threats, including ransomware, phishing, and insider threats, as well as system vulnerabilities found in legacy systems, IoT and medical devices, and cloud computing. The implementation of robust security measures such as encryption, multi-factor authentication, and intrusion detection systems is analyzed in depth. Through a comprehensive review of existing research and real-world case studies, including those of Maersk Line, Memorial Health System, and Norsk Hydro, this study provides insights into effective strategies for enhancing cybersecurity in industrial and healthcare settings. The findings highlight the critical role of these measures, alongside regular staff training and awareness programs, in safeguarding data management systems. By leveraging advanced technologies and proactive security practices, organizations can better protect their sensitive data against evolving cyber threats.

Digital Transformation in the Pharmaceutical Industry: Ensuring Data Integrity and Regulatory Compliance

The pharmaceutical industry is undergoing a significant digital transformation to improve efficiency, productivity, and regulatory compliance. One critical aspect of this transformation is ensuring data integrity, which is essential for maintaining the quality and safety of pharmaceutical products. This article explores the reasons behind the digital transformation in the pharmaceutical industry, focusing on the need for better data integrity. It examines the challenges pharmaceutical companies face in achieving data integrity, such as legacy systems, data silos, resistance to change, cybersecurity risks, and the validation of computerized systems. The article also discusses the benefits of regulatory compliance, including enhanced product quality and patient safety, reduced risk of non-compliance, improved operational efficiency, and increased brand reputation and customer trust. The author proposes strategies for successful digital transformation and data integrity, such as developing a comprehensive roadmap, investing in modern IT infrastructure, implementing data governance and quality management systems, fostering a culture of continuous improvement, and collaborating with technology partners and industry consortia. The article concludes by discussing future trends and opportunities, such as the adoption of blockchain technology, the integration of Internet of Things devices, the use of big data analytics for predictive quality control, and the need for collaboration with regulators to develop industry-wide data integrity standards. This comprehensive review provides valuable insights for pharmaceutical professionals, researchers, and regulators seeking to navigate the complex landscape of digital transformation and data integrity in the pursuit of improved patient outcomes and business success.

International business and decentralized finance

AbstractOver the last decade, the green shoots of a new economic order have emerged as decentralized technologies challenge traditional financial systems. Decentralized finance (DeFi) holds the potential to transform international business (IB) by offering accessible financial services across borders, disrupting traditional intermediaries, and promoting financial inclusion. While traditional fintech has challenged banks, DeFi operates outside legacy systems, leveraging blockchain technology and smart contracting to introduce a new range of products and services that provide first-movers with an upper hand to both expand their business across the globe as well realize cost savings on existing business. Despite offering advantages like efficiency, transparency, and security, DeFi faces regulatory uncertainties and scalability, adoption, and stability concerns. Our study explores how DeFi can seamlessly integrate into the IB space while addressing these challenges. In addition to offering insights for investors, multinational firms, and regulators, we also lay the groundwork for future IB research in the fintech domain. As the DeFi innovation unfolds, understanding and harnessing its potential can empower stakeholders to engage responsibly and effectively in this transformative landscape.

Pengembangan Modul Stock Fulfillment Online Transaction pada Aplikasi Distribution Center System menggunakan Framework Flask di PT.XYZ

The rapid advancement of information technology necessitates that every business adapts to keep pace with technological developments. PT. XYZ, a retail and distribution company, faced challenges with their outdated technology, specifically Oracle Forms. Oracle Forms incurred high maintenance costs and was limited to running on legacy systems. Consequently, PT.XYZ decided to create a Stock Fulfillment Online Transaction module using the Flask frameworks and Python. The development process followed the Agile Scrum methodology, including stages such as requirement analysis, sprint planning, iterative development, continuous testing, and final evaluation. The outcome of this application development demonstrates that using Flask frameworks and Python allows for an application that can operate across various platforms while reducing maintenance costs.

Implementing Lean 4.0: a review of case studies in pharmaceutical industry transformation

PurposeThe purpose of this systematic review is to critically analyze pharmaceutical industry case studies on the implementation of Lean 4.0 methodologies to synthesize key lessons, benefits and best practices. The goal is to inform decisions and guide investments in related technologies for enhancing quality, compliance, efficiency and responsiveness across production and supply chain processes.Design/methodology/approachThe article utilized a systematic literature review (SLR) methodology following five phases: formulating research questions, locating relevant articles, selecting and evaluating articles, analyzing and synthesizing findings and reporting results. The SLR aimed to critically analyze pharmaceutical industry case studies on Lean 4.0 implementation to synthesize key lessons, benefits and best practices.FindingsKey findings reveal recurrent efficiency gains, obstacles around legacy system integration and data governance as well as necessary operator training investments alongside technological upgrades. On average, quality assurance reliability improved by over 50%, while inventory waste declined by 57% based on quantified metrics across documented initiatives synthesizing robotics, sensors and analytics.Research limitations/implicationsAs a comprehensive literature review, findings depend on available documented implementations within the search period rather than direct case evaluations. Reporting bias may also skew toward more successful accounts.Practical implicationsSynthesized implementation patterns, performance outcomes and concealed pitfalls provide pharmaceutical leaders with an evidence-based reference guide aiding adoption strategy development, resource planning and workforce transitioning crucial for Lean 4.0 assimilation.Originality/valueThis systematic assessment of pharmaceutical Lean 4.0 adoption offers an unprecedented perspective into the real-world issues, dependencies and modifications necessary for successful integration, absent from conceptual projections or isolated case studies alone until now.

The Convergence of Artificial Intelligence and Blockchain: The State of Play and the Road Ahead

Artificial intelligence (AI) and blockchain technology have emerged as increasingly prevalent and influential elements shaping global trends in Information and Communications Technology (ICT). Namely, the synergistic combination of blockchain and AI introduces beneficial, unique features with the potential to enhance the performance and efficiency of existing ICT systems. However, presently, the confluence of these two disruptive technologies remains in a rather nascent stage, undergoing continuous exploration and study. In this context, the work at hand offers insight regarding the most significant features of the AI and blockchain intersection. Sixteen outstanding, recent articles exploring the combination of AI and blockchain technology have been systematically selected and thoroughly investigated. From them, fourteen key features have been extracted, including data security and privacy, data encryption, data sharing, decentralized intelligent systems, efficiency, automated decision systems, collective decision making, scalability, system security, transparency, sustainability, device cooperation, and mining hardware design. Moreover, drawing upon the related literature stemming from major digital databases, we constructed a timeline of this technological convergence comprising three eras: emerging, convergence, and application. For the convergence era, we categorized the pertinent features into three primary groups: data manipulation, potential applicability to legacy systems, and hardware issues. For the application era, we elaborate on the impact of this technology fusion from the perspective of five distinct focus areas, from Internet of Things applications and cybersecurity, to finance, energy, and smart cities. This multifaceted, but succinct analysis is instrumental in delineating the timeline of AI and blockchain convergence and pinpointing the unique characteristics inherent in their integration. The paper culminates by highlighting the prevailing challenges and unresolved questions in blockchain and AI-based systems, thereby charting potential avenues for future scholarly inquiry.

Improving Manufacturing Efficiency with Industry 4.0 Technologies: A Comparative Analysis of Smart Factories

The advent of Industry 4.0 technologies has ushered in a new era of manufacturing marked by the integration of cyber-physical systems, data-driven decision-making, and automation. This study presents a comprehensive comparative analysis of the impact of Industry 4.0 technologies on manufacturing efficiency through a focus on smart factories. The research examines how these technologies, such as the Internet of Things (IoT), artificial intelligence, and advanced robotics, contribute to operational improvements across diverse manufacturing environments. The methodology involves a comparative case study approach, analyzing multiple smart factories from various industries to identify common trends and distinct challenges. Key performance indicators (KPIs) related to efficiency, productivity, and resource utilization are assessed, providing a nuanced understanding of the transformative effects of Industry 4.0. The findings reveal that the implementation of smart technologies leads to significant improvements in production processes, reduced downtime, and enhanced product quality. Furthermore, the study explores the challenges encountered during the adoption of Industry 4.0, including cybersecurity concerns, workforce upskilling, and the integration of legacy systems. Insights gained from successful implementations serve as a guide for manufacturers seeking to optimize their operations through the adoption of Industry 4.0 technologies. The research contributes to the existing literature by offering a comparative perspective on smart factories, shedding light on best practices, and facilitating a deeper understanding of the factors influencing successful Industry 4.0 adoption.