Academic literature on the topic 'Cross-functional Data Integration'
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Journal articles on the topic "Cross-functional Data Integration"
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Pimenta, Marcio Lopes, Andrea Lago da Silva, and Wendy L. Tate. "Characteristics of cross-functional integration processes." International Journal of Logistics Management 27, no. 2 (2016): 570–94. http://dx.doi.org/10.1108/ijlm-01-2014-0010.
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Purpose – The purpose of this paper is to characterize the cross-functional integration processes between marketing and logistics, while considering five basic elements: boundary spanning activities, integration factors, level of integration, formality/informality and impacts of integration. Design/methodology/approach – After an extensive literature review, five case studies were performed and in-depth interviews conducted. Both within-case and cross-case analysis was performed to better understand the cross-functional integration processes between marketing and logistics. Findings – A characterization of cross-functional integration in the form of a managerial framework was proposed. This framework presents the elements in a process view, instead of disconnected parts of the integration processes. The framework and process perspective helps to explain the integration process, the roles and impacts of integration within organizations, while considering cultural formality and informality. Research limitations/implications – Qualitative data collection and analysis methods cannot achieve amplitude with respect to sampling nor generalize results. In spite of this, the implications revealed by the propositions may be applied not only to Brazilian companies, but organizations in other countries as well, due to the high level of heterogeneity of the sample, and the fact that they represent multinational organizations. Therefore, further research using broad-based survey data could test the correlations between the elements of cross-functional integration processes. Practical implications – The identification of the cross-functional integration processes within organizations can help managers to facilitate the efforts of integration between marketing and logistics, reducing conflicts and improving business performance. Originality/value – Case studies focussing specifically on five Brazilian organizations help provide evidence for an initial definition of cross-functional integration processes by analyzing five key elements according to their characteristics and respective roles. This research provides a strong foundation for future broad-based survey research.
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Vojvodic, Milomir, and Emil Velinov. "The Role of Customer-Centric, Cross-Functional Integration in Data Governance." GATR Journal of Management and Marketing Review (JMMR) Vol. 4 (4) Oct-Dec 2019 4, no. 4 (2019): 228–33. http://dx.doi.org/10.35609/jmmr.2019.4.4(1).
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Objective - The paper sheds light on customer database dynamics, dimensions and characteristics of adapted benefits connected with their business potential in a circular economy. The study suggests that allocating funds on data compliance could bring added value to the companies in specific conditions linked to the processing of client data. Methodology/Technique - This study examines the impact of a Customer-Centric approach in relation to Data Governance. The empirical part of the study is based on data gathered from middle and top level managers and owners of projects responsible for managing customer data in multinational enterprises across EMEA region. EU companies could use Data Protection legislation as a springboard, as their financial benefits are higher than the respective costs necessary to comply with. Thus, a perspective management practice investigates the following roles: cross-functional management and combining wide customer-centric units (marketing, sales, service, product), external client process integration, data governance engagement (there is a balance of the current expertise from the customer's data that is nested within functions and capacity to evaluate inter-functional influence of client data-driven management). Finding - The paper outlines evidence of the effect of customer centricity on data governance in selected companies from emerging markets. Type of Paper - Empirical Keywords: Customer Centricity; Data Governance; Cross-functional Integration. JEL Classification: M30, M31, M39.
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David Akokodaripon, Oluwatosin Reis, and Akorede Victor Aderoju. "Designing cost-effective data solutions: Best practices from multi-million dollar projects involving cross-functional teams and diverse data sources." International Journal of Applied Research in Social Sciences 6, no. 10 (2024): 2389–408. http://dx.doi.org/10.51594/ijarss.v6i10.1628.
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This paper explores the design and implementation of cost-effective data solutions, focusing on multi-million dollar projects that involve cross-functional teams and diverse data sources. The study aims to identify best practices and technological advancements that enhance data management efficiency, ensuring scalability, security, and compliance. Employing a comprehensive review of existing literature and case studies, the paper examines the challenges and opportunities in integrating technologies such as AI, machine learning, cloud computing, and blockchain. Key findings highlight the importance of cross-functional collaboration in addressing data management complexities and the adoption of agile methodologies to enhance adaptability and efficiency. The study also underscores the significance of advanced data integration techniques and the application of circular economy principles to promote sustainability in data management. The conclusion provides actionable recommendations for organizations seeking to optimize their data solutions, emphasizing the need for strategic investment in emerging technologies and a robust data governance framework. By offering insights into future trends and research directions, this paper contributes to the ongoing discourse on developing cost-effective, secure, and sustainable data solutions in an increasingly digitalized world. Keywords: Cost-Effective Data Solutions, Cross-Functional Teams, Data Integration, Cybersecurity, Artificial Intelligence, Circular Economy Principles
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Kang, Mingu, Um Ki-Hyun, Yongyi Shou, and James Jungbae Roh. "Matching goal-based incentive systems with cross-functional integration to improve operation and innovation performance." International Journal of Operations & Production Management 42, no. 2 (2022): 230–54. http://dx.doi.org/10.1108/ijopm-05-2021-0345.
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PurposeCross-functional integration has been an important factor for manufacturing firms' performance outcomes. The study aims to expand previous research by investigating the moderating role of goal-based incentive systems in the relationship between cross-functional integration and competitive performance.Design/methodology/approachBased on multi-source data from 269 manufacturing firms around the world, regression analysis is used to test the proposed research model.FindingsThe authors' findings suggest that cross-functional integration enhances manufacturers' innovation and operational performance. Moreover, cross-functional integration has a stronger impact on operational performance when firms implement a well-designed goal-based incentive system. However, the authors find that the goal-based incentive system does not moderate the relationship between cross-functional integration and innovation performance.Originality/valueThe study, by investigating the fit between goal-based incentive systems and cross-functional integration, provides practical insights into the ways that firms apply cross-functional integration and goal-based incentive systems to enhance competitive performance.
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Emmanuel, Damilare Balogun, Olusola Ogunsola Kolade, and Samuel Ogunmokun Adebanji. "An Integrated Data Engineering and Business Analytics Framework for Cross-Functional Collaboration And Strategic Value Creation." Engineering and Technology Journal 10, no. 03 (2025): 4256–64. https://doi.org/10.5281/zenodo.15100266.
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This paper explores the design and implementation of an integrated data engineering and business analytics framework aimed at fostering cross-functional collaboration and driving strategic value creation in modern organizations. With the rapid growth of data-driven decision-making, businesses are increasingly reliant on effective integration between data engineering processes and business analytics tools to enhance operational efficiency, improve decision-making, and achieve competitive advantage. This study addresses the common challenges organizations face in integrating these two critical disciplines, such as data silos, misalignment between departments, and inefficient data governance practices. By proposing a comprehensive framework that connects data engineering practices (e.g., ETL processes, cloud storage) with business analytics tools (e.g., predictive analytics, decision support systems), the paper highlights the potential for improving decision-making processes across business units, enhancing organizational agility, and creating long-term strategic value. Through case studies and qualitative analysis, the research identifies how organizations can leverage this integrated framework to streamline communication, align strategic objectives, and foster a culture of collaboration. The findings emphasize that organizations adopting this framework are better positioned to capitalize on data-driven insights for innovation, revenue growth, and customer satisfaction. The paper also offers actionable recommendations for organizations to successfully implement this integration, including investments in robust data governance practices, user training, and scalable technology solutions. Additionally, future research directions are suggested, focusing on the role of emerging technologies like AI and machine learning in enhancing the framework’s capabilities and scalability across various industries and global contexts.
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Zhou, Xianghong Jasmine, Ming-Chih J. Kao, Haiyan Huang, et al. "Functional annotation and network reconstruction through cross-platform integration of microarray data." Nature Biotechnology 23, no. 2 (2005): 238–43. http://dx.doi.org/10.1038/nbt1058.
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Basana, Sautma Ronni, Sahnaz Ubud, Mariana Ing Malelak, and Zeplin Jiwa Husada Tarigan. "The effect of key user capability on supply chain digital and flexibility in improving financial performance." Uncertain Supply Chain Management 11, no. 1 (2023): 267–76. http://dx.doi.org/10.5267/j.uscm.2022.9.016.
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Organizational competitiveness is enhanced by implementing supply chain integration. Organizations, through information technology, can integrate internal and external cross-functional. The team assigned to run the integration system in its function is designated as the key user who can implement and maintain an ongoing basis. Key user capabilities are needed to maintain a digital supply chain in information technology systems to integrate internally and externally. Data analysis using Partial least squares (PLS) on 89 hotel organizations with a one-star category or more shows that key user capability significantly affects internal cross-functional integration (β = 0.728) and external cross-functional integration (β = 0.127). Key user capability has an impact on supply chain flexibility (β = 0.370) while internal cross-functional integration influences increasing supply chain flexibility (β = 0.373) and financial performance (β = 0.421). External cross-functional integration increases supply chain flexibility (β = 0.316) and financial performance (β = 0.441). Lastly, supply chain flexibility impacts increasing financial flexibility (β = 0.192). The research contributes enrichment to the theory of digital supply chain and practical contribution to enlighten top management in information technology investment.
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Kadarsah, Destina Ratna Asih Khodijah, Rajesri Govindaraju, and Budhi Prihartono. "Leveraging Data Management Capabilities for Innovation Capabilities: The Moderating Role of Cross-Functional Integration." Journal of ICT Research and Applications 17, no. 3 (2023): 385–411. http://dx.doi.org/10.5614/itbj.ict.res.appl.2023.17.3.7.
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In today’s dynamic and competitive business environment, data are crucial for sustaining a competitive advantage. Organizations are also constantly seeking ways to enhance their innovation capabilities in order to stay ahead of the competition. One critical factor that has been identified as influential in enabling innovation are the organization’s data management capabilities. Past studies have found that cross-functional integration may enhance the impact of data management on innovation. Hence, this study aimed to investigate the influence of data management capabilities on explorative and exploitative innovation by considering the role of cross-functional integration as a moderating variable. This study used 116 data samples from medium and large companies across different industries in Indonesia. The PLS-SEM analysis was applied to test the research hypotheses. The results indicate that data management capabilities as a third-order construct, consisting of three dimensions, namely data governance, technology, and skills, have significant direct influences on explorative and exploitative innovation. This study demonstrated that cross-functional integration still plays an important role in amplifying the relationship between data management capabilities and innovation capabilities, especially in relation to explorative innovation.
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Ferreira, Ana Cristina, Marcio Lopes Pimenta, and Paraskeva Wlazlak. "Antecedents of cross-functional integration level and their organizational impact." Journal of Business & Industrial Marketing 34, no. 8 (2019): 1706–23. http://dx.doi.org/10.1108/jbim-01-2019-0052.
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Purpose The purpose of this paper is to develop a model to predict the antecedents of the integration level among marketing, logistics and production, considering the influence of formal and informal factors that generate integration and the existence of conflicts. Design/methodology/approach A survey of 179 participants from all regions of Brazil was conducted. A parsimonious model including four dimensions and 34 variables was developed through confirmatory factor analysis and structural equation modeling. Findings The field data corroborate studies dealing with the impact of various formal and informal integration factors on the cross-functional integration level as a construct. Furthermore, this paper concludes that the level of cross-functional can be defined as: the intensity of the relationship among internal functions which can be measured by the mutual existence of formal and informal factors and the absence of manifest conflicts. Research limitations/implications The findings of this paper cannot be generalized because of the convenience sampling. Future research could apply a probabilistic sampling and try to explore other geographical settings in both national and international contexts. Practical implications The proposed model can generate important information for managers by pointing out variables that can predict the integration level and their impacts on the organizational performance. The paper concludes with examples about how the model could be useful in several practical situations. Originality/value This paper proposes a model with reasonable accuracy to predict the integration level and overcomes prior research limitations with respect to models to predict the antecedents of the integration level, particularly the role of conflicts in the integration processes.
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Salunke, Naveen. "Effective Cross-Functional Collaboration in Global Supply Chains: Bridging Sales, Engineering, and Finance." International journal of business and management sciences 05, no. 05 (2025): 27–36. https://doi.org/10.55640/ijbms-05-05-03.
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Global supply chains operate in an increasingly complex and volatile environment, where the integration of functional units is paramount for achieving operational excellence and competitive advantage. This review paper explores the critical role of cross-functional collaboration (CFC) among Sales, Engineering, and Finance in optimizing global supply chain performance, with a focus on enhancing efficiency, responsiveness, and profitability. Sales drives demand forecasting, Engineering innovates product and process designs, and Finance ensures fiscal discipline, yet silos often disrupt their alignment, leading to inefficiencies and missed opportunities. This study synthesizes theoretical frameworks, such as the resource-based view and systems theory, with empirical evidence from peer-reviewed literature, alongside practical industry examples from leading firms like Toyota, Apple, and Procter & Gamble. It identifies key challenges to cross-functional collaboration(CFC), including siloed mindsets, communication barriers, global complexity, data inconsistencies, and resistance to change, which collectively hinder seamless coordination. The paper proposes actionable strategies to overcome these barriers, such as integrated Sales and Operations Planning (S&OP), shared metrics, technology enablement through platforms like SAP, leadership governance, cultural transformation, and risk management integration. A simplified conceptual model illustrates the interplay of Sales, Engineering, and Finance, highlighting communication flows, shared goals (e.g., customer satisfaction, profitability, agility), and the role of enabling technologies like ERP systems. Findings underscore the benefits of effective cross-functional collaboration(CFC), including reduced lead times, cost savings, enhanced innovation, improved financial performance, and greater supply chain resilience. The paper concludes with future research directions, particularly the potential of AI and blockchain to further enhance cross-functional collaboration(CFC), offering a roadmap for practitioners to foster collaboration in multi-tier global supply chains.
Dissertations / Theses on the topic "Cross-functional Data Integration"
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Borgsø, Jon Ariel, and Maxim Svensson. "Business Intelligence: Competencies and Cross-Functional Integration : A Case Study at ASSA ABLOY." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446755.
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Business Intelligence (BI) and data analytics has grown to become one of the most prioritized technological investments for organizations today. For BI systems to be valuable for organizations’ decision making and support of end-users, research argues that competencies of multiple areas need to be represented in the work with BI. This includes knowledge of both IT and business domains, where challenges such as lack of domain competencies have been identified in the Swedish industry sector. The purpose of this study is therefore to investigate the representation of BI competencies, with focus on IT, business domain, data analytics and their integration. The research is conducted through a qualitative case study at ASSA ABLOY, a leading company in the Swedish industry sector, where interviews are made with respondents involved with five BI tools from different functions of the company. The empirical findings show that competencies of IT and business domains are represented to a higher degree than data analytics. In addition, the findings show that while integration between these areas is being promoted, there is potential for further involvement with in-house IT and a need for cross-border knowledge to bridge the gap between functions involved with BI.
Book chapters on the topic "Cross-functional Data Integration"
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Gulledge, Thomas R., Rainer A. Sommer, and M. Murat Tarimcilar. "Cross-Functional Process Integration and the Integrated Data Environment." In Business Process Engineering. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5091-4_3.
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Azad, Nasreen. "DevOps Challenges and Risk Mitigation Strategies by DevOps Professionals Teams." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53227-6_26.
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AbstractDevOps is a team culture and organizational practice that eliminates inefficiencies and bottlenecks in the DevOps infrastructure. While many companies are adopting DevOps practices, it can still be risky. We conducted 26 interviews with DevOps professionals around the globe and found four major risks associated with DevOps practices: Organizational risks (Intra-organizational collaboration and communication, strategic planning), Social and cultural risks (Team Dynamics, Cultural shift), Technical risks (Integration, Build and test automation), Ethics and security breaches in DevOps environment (Ethical risks, Data collection ethics, Ethical decision making). Our research also identified several risk mitigation strategies namely continuous testing, using infrastructure as code, security audit and monitoring, disaster recovery planning, cross-functional training, proper documentation, continuous learning, continuous improvement etc. that companies can adopt for better performance and efficiency.
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Nelson, Mark R. "Alignment through Cross-Functional Integration." In Strategic Information Technology. IGI Global, 2001. http://dx.doi.org/10.4018/978-1-878289-87-2.ch003.
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The strategic alignment model presented in the first chapter of this book clearly identifies cross-functional integration as a critical dimension of IT alignment. This chapter focuses on the assessment and improvement of functional integration and presents a model for understanding how cross-functional integration between IT and other functional areas leads to more effective IT alignment at the functional level. By moving to higher levels in this “integration hierarchy” model, organizations can expect to achieve a higher degree of IT alignment. To provide context, the chapter presents the integration hierarchy model by focusing on the marketing and IT units. This cross-functional interface is a particularly important area for IT alignment given the environmental demand for effective e-commerce and data warehousing solutions. However, as later sections of this chapter will discuss, there are implications for the model for both practitioners and researchers beyond the marketing and IT interface.
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Jeske, Debora, and Thomas Stephen Calvard. "Cross-Functionality in Practice." In Advances in Human Resources Management and Organizational Development. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9840-5.ch019.
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Cross-functional integration is a topic of discussion in many different disciplines. Electronic performance monitoring (EPM) is the practice of managing employee performance digitally. It is also a key example of cross-functionality. The authors reflected on organizational practice and existing literature to demonstrate the interconnections between different functions supporting EPM. A range of professions and functions play important cross-functional roles in the design, use, and implementation of EPM systems in organizations, such as IT and security, legal and data protection, and health and safety, among others. Barriers to cross-functional integration involving HR and EPM are identified, and recommendations are offered on how to overcome such barriers in practice. The practice and design of EPM serves as a powerful example for raising more explicit awareness and understanding of the opportunities and challenges affecting how HR integrates and works with a variety of other interdependent functional and professional groups and roles.
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Sanders Chris. "Improved Integration Between Engineering and Supply Chain Through a Data Quality and Governance Framework." In Advances in Transdisciplinary Engineering. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-792-4-458.
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Within a complex design and build programme the relationship between business disciplines underpins the development of the product. Such programmes have had a history of problems integrating supply chain and engineering information, which has contributed to cost and schedule impact. Through BAE Systems Naval Ships Product Lifecycle Management approach, a Data Quality and Governance framework has been implemented to reduce such issues through information cataloguing and data quality measurement. Mapping product data processes allows the elimination of disparate data sources and directs users to a single point of truth that serves the needs of all stakeholders. In addition, cross functional working groups are being used to develop new data exchange practices that maintain data integrity. Ultimately this will ensure that arriving supplier equipment will be correctly identified for planned installation and supplier data is tracked and stored consistently. This paper will describe this novel approach and the challenges experienced implementing it on a major shipbuilding programme.
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Pilli, Daniel, and S. Chitra. "Data-Driven Decision Making for Academic Marketing and Student Outreach." In Transforming Outcome-Based Education with Social Media Strategies and AI-Driven Digital Marketing for Personalized Learning and Institutional Growth. RADemics Research Institute, 2025. https://doi.org/10.71443/9789349552685-13.
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This book chapter explores the transformative role of data-driven decision-making and AI integration in academic marketing, with a focus on student outreach and engagement strategies. As higher education institutions face increasing competition and evolving student expectations, leveraging real-time data and AI-powered personalization has become crucial for maintaining relevance and optimizing recruitment efforts. The chapter presents a comprehensive analysis of the strategies, frameworks, and technologies that institutions can utilize to enhance their marketing ecosystems. It examines the critical importance of real-time data integration, AI-enhanced personalization, and institutional readiness for embracing digital transformation. The chapter addresses the challenges of executing AI-driven campaigns, focusing on crisis response, real-time adaptability, and the integration of cross-functional teams. The outcomes highlight the significant impact of AI on student engagement and recruitment, emphasizing the need for institutions to develop resilient and agile marketing ecosystems. As the future of academic marketing continues to evolve, this chapter provides valuable insights into how institutions can leverage emerging technologies to enhance their outreach efforts and secure long-term success. Key areas discussed include AI, data-driven marketing, student engagement, real-time adaptability, institutional readiness, and crisis response.
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Orejuela, Silvia, Glenn Johansson, and Damien Motte. "Establishing Factors to Consider While Adopting the Agile Approach in Manufacturing Companies." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220153.
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Due to the current fast-paced business environment, new approaches to product development (PD) have been requested. In that matter, the agile approach has gained interest among researchers and practitioners. Based on its positive results in the software industry, it has started to be adopted in the manufacturing industry. Nevertheless, there are factors that manufacturing companies must consider while adopting the agile approach, and there is a lack of in-depth empirical studies about those factors. In that matter, this paper presents the preliminary findings of a single case study of a large manufacturing company. The data collection consisted of fifteen semi-structured interviews with persons with key roles in different organizational functions. The identified factors were analyzed and presented according to a product development system (PDS) perspective which encompasses people, process, and technology and tools subsystems. For the people subsystem, the study identified factors related to cross-functional integration and coordination, cross-functional communication, organizational culture, understanding of the agile approach, definition of roles and responsibilities, and people involvement and support. In respect of the process subsystem, the study identified factors associated with workload leveling and development interfaces. Regarding the technology and tools subsystem, the study identified factors related to the integration of information systems, and technology and manufacturing readiness levels. As a result, the study contributes further to the establishment of the factors that may influence the adoption of the agile approach in the PDS of a large manufacturing company.
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Fukuda Shuichi, Lulić Zoran, and Stjepandić Josip. "FDMU – Functional Spatial Experience Beyond DMU?" In 20th ISPE International Conference on Concurrent Engineering. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-302-5-431.
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To stay competitive, the companies have to respond quickly to the changing demands of customers. At the same time, the products become more and more complex, including more complex functionalities, and enterprises now have to deal with concurrent multi-disciplinary environments if they want to optimize their products globally. This would come with the development of in-process simulations, but new methods and new tools are needed in order to enable a bridge between the development domains. An important approach is Digital Mock-up (DMU), which provides a robust development method to enable the spatial integration in concurrent environment. In the past decade the DMU has been implemented as a mandatory development method ensuring good project progress within distributed collaborative development. Nevertheless, there is a strong need to pursue the product development by additional methods, which progress beyond DMU. The development of mechatronic systems involves many disciplines, which utilize their own specific methods, processes as well as software tools in order to create partial models of an overall system. A very tight collaboration of the disciplines is essential, since all the partial models are interdependent. However, information between these engineering domains is exchanged only periodically. Progressing rapidly in short steps, the developers need an assisting tool to vividly obtain the first impression on functional behavior of their products (“physicalisation of data”) in each stage of product development. This paper describes a new approach of cross-skill engineering cooperation between various engineering domains (mechanical, electrical, software etc.) called Functional DMU which provides a first, quick insight (functional spatial experience) in the recent progress of singular development tasks and corresponding results in the context of the whole product.
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Brehm, N., D. Lübke, and J. Gómez. "Federated Enterprise Resource Planning Systems." In Handbook of Enterprise Systems Architecture in Practice. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-189-6.ch017.
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Enterprise resource planning (ERP) systems consist of many software components, which provide specific functionality. As ERP systems become more complex, the financial expenditures that are associated with the application of such systems dramatically increase. Furthermore, ERP system development of nowadays is product-oriented and coordinated by only one instance at any one time. Consequently, each product has a separate data model, which is the basis for the integration of various types of business applications. Based on this fact, the selection of the covered functional enterprise sectors as well as the implemented functions is controlled by the respective vendor, too. Thus, enhancements and modifications of the standard software product are incumbent upon the software vendors. A cross-vendor standardization of data models for ERP systems and the establishment of unified architectural model, however, would change this situation. The new idea is to develop a novel ERP system architecture, which facilitates an overall reusability of individual business components (BC) through a shared and non-monolithic architecture based on Web services. The presented approach uses Web services to wrap up ERP components that are provided within a distributed system, which appears as an ERP community and serves as a vendor-independent platform.
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Walia, Arpit. "Risk Management Frameworks for Navigating Digital Disruptions and Market Volatility." In Digital Transformation Strategies for Achieving Operational Excellence and Business Resilience. RADemics Research Institute, 2025. https://doi.org/10.71443/9789349552821-16.
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In today’s rapidly evolving digital landscape, organizations are increasingly confronted with the complexities of managing risks that arise from digital disruptions and market volatility. Traditional risk management frameworks are no longer sufficient to address the dynamic, interconnected, and real-time challenges posed by technological advancements, cybersecurity threats, and fluctuating market conditions. This chapter explores the critical role of modern risk management frameworks in navigating these challenges, with a particular focus on the integration of advanced digital tools and technologies. Emphasizing a shift from reactive to proactive approaches, the chapter highlights the importance of predictive analytics, AI-driven models, big data, and IoT-based systems in identifying, assessing, and mitigating risks in real time. It further examines the significance of holistic risk management frameworks that integrate organizational silos and foster cross-functional collaboration to address interconnected risks. Through comprehensive analysis, the chapter demonstrates how organizations can leverage these innovative strategies to enhance resilience, ensure continuity, and gain a competitive edge in an increasingly volatile and uncertain environment. Key findings indicate that the adoption of AI-driven risk models, along with real-time monitoring and data-driven decision-making, is paramount in securing business operations against emerging digital threats.
Conference papers on the topic "Cross-functional Data Integration"
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Chang, Yu-Jen, Cheng-Hsin Liu, Yi-Sheng Lin, et al. "A Correlative Microscopic Workflow Powered by Artificial Intelligence to Accelerate Failure Analysis of Next-Generation Semiconductor Packages." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0312.
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Abstract Over the past decade, the semiconductor industry has increasingly focused on packaging innovations to improve device performance, power efficiency, and reduce manufacturing cost. The recent heterogeneous integration offers an attractive solution in advanced IC packaging because it enables the integration of diverse functional components, such as logic, memory, power modulator, sensor on a single package platform. However, the adoption of the emerging structures, materials and components in advanced packages has challenged the existing fault isolation and analysis techniques. One of the major challenges is the limited accessibility to defects because fault regions are often located deep within devices. Without high-accuracy positional information of a defect, physical cross-sectioning and FIB polishing may alter or destroy the evidence of root causes. A non-destructive microscopic approach is preferred to map defective sites and surrounding structures. However, this method is limited by spatial resolution, especially for analyzing novel submicron interconnects such as fine pitch microbumps, redistribution layers (RDLs), and hybrid bonds. In this paper, we report an AI powered correlative microscopic workflow, where non-destructive X-ray imaging, FIB polishing and high-resolution SEM analyzing techniques are combined to solve the accessibility problem. Because 3D X-ray imaging may take a larger fraction of the time span over the entire workflow, a deep-learning based reconstruction method was applied to accelerate data acquisition. Several next-generation packages, fan-out wafer-level package (FOWLP) and hybrid bonds with sub 10 µm pitch, were used as the test vehicles to demonstrate the workflow performance and efficiency.
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Cheng, Jack C. P., Kincho H. Law, Albert Jones, and Ram Sriram. "Service Oriented and Orchestrated Framework for Supply Chain Integration." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87089.
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Supply chain management integrates key business processes and facilities, involving end users and suppliers that provide products, services, and information. Supply chain integration can potentially add value to the stakeholders along product development and manufacturing life cycle as well as the customers in terms of cost, time, service level, quality, and risk. In the manufacturing industry, there are many attempts to develop methodologies, standards, and technologies to integrate various applications for product design and manufacturing. However, studies on integrating and aligning product design and manufacturing with other operations in supply chains are relatively lacking. In an integrated supply chain, information, applications, and services are shared and become available among supply chain members within and across organizational boundaries. Existing technologies and tools such as Electronic Data Interchange (EDI) infrastructures and Enterprise Resource Planning (ERP) systems do not provide a flexible and reusable solution to information sharing and application integration. This paper presents a prototype service oriented web-based system, SC Collaborator (Supply Chain Collaborator), which leverages web services, web portal, and open source technologies to provide a flexible, customizable, and economical tool for supply chain integration. The prototype system implements a service oriented portal-based framework and allows service orchestration according to processes. This paper presents the service oriented portal-based framework, the system architecture of SC Collaborator, and the schematic representation and implementation of process models with the system. The paper also illustrates the use of the SC Collaborator system to facilitate cross-functional, cross-departmental, and cross-organizational collaborations using a bus manufacturing scenario.
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Zhang, Jiyu, Jie Chen, and Hazim EL-Mounayri. "A Generic Template for Collaborative Product Development." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0171.
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Abstract A generic template system is presented in this paper. The template, which is basically a management system and an integration platform, adopts virtual prototyping, cross-functional teaming and information integration to improve the performance of product development life cycle. The architecture and working principles of the template are discussed. This architecture provides a collaborative environment for product development aiming at integrating people, process and data in the complete product development cycle. Also, a new integration strategy, that adopts PDM as its universal integration platform, is proposed and realized. This strategy reduces the requirements of integrating a software module (or “a virtual model”) into the template to only the development of the interface between this module and the PDM. In addition, the generic template contains methods and mechanisms to create and maintain virtual prototyping models for different engineering products and engineering systems that involve mechanical as well as electrical components (e.g. a power train). Currently, the template includes sufficient models to accurately and reliably model, simulate and evaluate complete engineering systems. Some of these models do not exist in the current state-of-the-art commercial CAD/CAE/CAM/PDM systems.
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Sanasi, Carla, Marco Amicosante, Domenico Mezzapesa, et al. "Business Intelligence Platform Applied to the Interdisciplinary Management of Subsurface Data Integration." In International Petroleum Technology Conference. IPTC, 2023. http://dx.doi.org/10.2523/iptc-22962-ea.
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Abstract Over the last 3 years, Eni has developed an integrated platform to gather subsurface data and make them available to the final users across the company. The Platform is structured in four data domains including the well data, which is the focus of this abstract. In the data model, the well master and architectural data assume paramount importance since they are upstream of the value chain and represent the aggregator of all the data recorded in the well. A large amount of data coming from all Eni Affiliates and operative sites is produced daily. To gather, perform Quality Controls and ingest them, Eni has implemented a governed workflow to ensure data is made available to the final users through the platform in an efficient and transparent way. The workflow aims to ingest the well master and well geometrical data directly from the well site defining roles all along the data transmission chain, with the ultimate objective to ensure the proper data quality once they reach the cross-functional subsurface data platform. It is no less important the timely availability of such data to guarantee a prompt association with geological and drilling log data. Given the increased amount of data acquired from disparate data sources, different functions and locations, Business Intelligence tools have been designed to monitor the workflow combining data for an easier data insight. To manage such complex network, dedicated dashboards allow all the users involved to visualize the status of the processes through specific KPIs, thus optimizing communication and reducing the human effort required. The capability to manage, validate and quickly interpret data will determine the competitive advantage among Energy Companies in the next future. Eni targets to excel in the everchanging business environment leveraging the new century asset: the data. The presented approach, combined with the diffused data culture initiatives, promotes a collaborative environment, and increase awareness on data importance across the value chain.
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Sanasi, Carla, Luca Dal Forno, Giorgio Ricci Maccarini, et al. "Company Data Governance Transformation to Support the Business Evolution." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207525-ms.
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Abstract The evolution of the energy market requires companies to increase their operating efficiency, leveraging on collaborative environment and existing assets, including Data. A new focus on data governance and integration is needed to maximize the value of data and ensure "real-time" efficient response. The decoupling of data from applications enables organization by domain and data type in one cross-functional data hub. This scheme is independent from the scope of the activity and will therefore maintain its validity when dealing with new business requiring subsurface data utilization. The integrated data platform will feed advanced digital tools capable to control the risks, optimize performance and reduce emissions associated with the operations. Eni is putting this idea into practice with a new data infrastructure which is integrated across all the subsurface disciplines (G&G, Exploration, Upstream Laboratories, Reservoir and Well Operations departments). In this paper, the example of real time data exploitation will be discussed. Real time data workflow was first established in well operations for operational supervision and later developed for real time performance optimization, through the introduction of predictive analytics. Its latest evolution in the broader subsurface domain encompasses the application of AI to operations geology processes and the extension to all operated activities. This approach will equally support new company goals, such as decarbonization, increasing performance of subsurface activities related to underground storage of CO2 in depleted reservoirs.
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Jain, Anurag, Sathish Kumar Thirugnanam, Atul Narsingpurkar, and Jitesh H. Panchal. "Next Generation Technologies for Improving Product Planning and Development: An Industry Perspective." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65173.
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Successful product planning and development revolves around great innovation, effective implementation of new ideas, cross-functional collaboration, and right decision making before translating ideas into a right product portfolio, features and technology roadmaps, and finally launching them as successful products. Managing the product planning processes offers multiple challenges in the absence of a healthy idea pipe line, a good visibility into market and competition dynamics, lack of cross functional collaboration and finally, absence of an integrated process and system to support the complex information interplay. Organizations have, in past, adopted different process models and technologies ranging from product data management (PDM), product lifecycle management (PLM), knowledge management and collaboration solutions to address above challenges. However, there is a significant opportunity to leverage next generation technologies such as digital social networking (DSN), cloud computing, and big data management in conjunction with the traditional technologies to improve the efficiency and effectiveness of product planning and development. This paper presents an industry perspective on the major potential areas where these next generation technologies can be leveraged in the early stages of design, particularly product planning. Specific examples from automotive design and manufacturing are used to illustrate the complementary nature of traditional technologies and the emerging web-based technologies. The paper discusses major industry trends and reviews academic research in this area, and concludes with the authors’ point of view on how the combination of these technologies can be leveraged for developing a profitable product portfolio. The paper also highlights specific research issues from technological and business process standpoint that need to be addressed for successful integration. The potential benefits of such integration include productivity improvements, improved product offerings, first time right & on time product launches.
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Tavella, Domenico, Ali Muhialdin, Enrico Garante, and Alessandro Peciarolo. "Front Zone Control Unit for Propulsion and Chassis Domains in a Zonal E/E Architecture – System Engineering Approach to Architecture Design." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2500.
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<div class="section abstract"><div class="htmlview paragraph">The modern automotive industry field is in the middle of a major transformation of the Electric/Electronics (E/E) system design, to meet the future mobility trends driven by Autonomy, Electrification and expanded Connectivity.</div><div class="htmlview paragraph">For these reasons, the ongoing industry trend is to move to more centralized E/E architectures by combining and integrating sub-systems and controllers, from either a functional domain standpoint (horizontal integration, or “cross-domain controllers”) or a geographical zone standpoint (vertical integration, or “central brain with zones”), with the objective to optimize cost, weight, power distribution, provide enhanced security and versatility. This is because electrification, autonomy and connectivity features are significantly increasing the demand for data processing bandwidth, network throughput, intelligent power distribution and wiring harness capabilities for additional sensors/actuators. The evolution to a Centralized Architecture is made possible with advancements in computing technologies (more performance, memory).</div><div class="htmlview paragraph">One step forward in this technological journey is the design of a Front Zone Control Unit (FZCU) that centralizes control supervisory functions from the Propulsion and Chassis domains, to implement a holistic cross-domain control concept that: <ul class="list disc"><li class="list-item"><div class="htmlview paragraph">Optimizes and consolidates control functional integration</div></li><li class="list-item"><div class="htmlview paragraph">Optimizes vehicle performance, by reducing latency</div></li><li class="list-item"><div class="htmlview paragraph">Provides seamless integration for EV Charging features, including “Plug&amp;Charge” option, with a single-ECU HW/SW solution</div></li><li class="list-item"><div class="htmlview paragraph">Maximizes re-use across different vehicle and propulsion platforms</div></li></ul></div><div class="htmlview paragraph">while considering: <ul class="list disc"><li class="list-item"><div class="htmlview paragraph">Technical HW/SW design constraints (including OBD and Safety)</div></li><li class="list-item"><div class="htmlview paragraph">Calibration flexibility</div></li><li class="list-item"><div class="htmlview paragraph">Global features portfolio</div></li></ul></div><div class="htmlview paragraph">A System Engineering approach to Architecture design, useful to managing multi-layered complexity, will be investigated in this paper. The main architecture views explored are: <ul class="list disc"><li class="list-item"><div class="htmlview paragraph">Operational View (“Why design the system?”)</div></li><li class="list-item"><div class="htmlview paragraph">Functional View (“What functions are delivered?”)</div></li><li class="list-item"><div class="htmlview paragraph">Constructional View (“How to concretely implement the functions?”)</div></li></ul></div><div class="htmlview paragraph">This paper will describe the organization of the system elements and the sequence of process steps needed for a top-down system/control architecture design, up to the technical recommendations for FZCU HW and SW design.</div></div>
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Gao, Tianyi, Marcelo del Valle, Alfonso Ortega, and Bahgat G. Sammakia. "Numerical and Experimental Characterization of the Transient Effectiveness of a Water to Air Heat Exchanger for Data Center Cooling Systems." In ASME 2015 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2015 13th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ipack2015-48377.
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The cross flow heat exchanger is at the heart of most cooling systems for data centers. Air/Water or air/refrigerant heat exchangers are the principal component in Central Room Air Conditioning (CRAC) units that condition data room air that is delivered through an underfloor plenum. Liquid/air heat exchangers are also increasingly deployed in close-coupled cooling systems such as rear door heat exchangers, in-row coolers, and overhead coolers. In all cases, the performance of liquid/air heat exchangers in both steady state and transient scenarios are of principal concern. Transient scenarios occur either by the accidental failure of the cooling system or by intentional dynamic control of the cooling system. In either scenario, transient boundary conditions involve time-dependent air or liquid inlet temperatures and mass flow rates that may be coupled in any number of potential combinations. Understanding and characterizing the performance of the heat exchanger in these transient scenarios is of paramount importance for designing better thermal solutions and improving the operational efficiency of existing cooling systems. In this paper, the transient performance of water to air cross flow heat exchangers is studied using numerical modeling and experimental measurements. Experimental measurements in 12 in. × 12 in. heat exchanger cores were performed, in which the liquid (water) mass flow rate or inlet temperature are varied in time following controlled functional forms (step jump, ramp). The experimental data were used to validate a transient numerical model developed with traditional assumptions of space averaging of heat transfer coefficients, and volume averaging of thermal capacitances. The complete numerical model was combined with the transient effectiveness methodology in which the traditional heat exchanger effectiveness approach is extended into a transient domain, and is then used to model the heat exchanger transient response. Different transient scenarios were parametrically studied to develop an understanding of the impact of critical variables such as, the fluid inlet temperature variation and the fluid mass flow rate variation, and a more comprehensive understanding of the characteristics of the transient effectiveness. Agreement between the novel transient effectiveness modeling approach and the experimental measurements enable use of the models as verified predictive design tools. Several studies are designed based on the practical problems related to data center thermal environments and the results are analyzed.
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Grytsai, Denys, Petro Shtefura, and Vadym Dodukh. "A Novel Integrated Approach to 3D Modeling and History Matching of Gas Condensate Fields with Paucity of Geological and Production Data." In SPE Eastern Europe Subsurface Conference. SPE, 2021. http://dx.doi.org/10.2118/208518-ms.
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Abstract A methodology has been developed that, in conditions of limited geological and production data, ensures the integration of petrophysical, geological, and hydrodynamic models as components of a permanent 3D model, establishing physical relationships between parameters that describe the entire system. In the proposed method, the modelling is based on the results of the interpretation of continuous shale volume and porosity curves. Based on the analysis of core data, the multi-vector physical correlations with other parameters are made. To distinguish the reservoirs and non-reservoirs, the cut-off values of shale volume are defined; to exclude tight reservoirs with no filtration, the cut-off values of porosity are set. Using the Winland R35 method the radius of the pore throat is computed, allowing dividing the reservoirs into classes. For each class of reservoirs, the permeability vs porosity dependence is determined, and the Wright-Woody-Johnson method allows deriving equations for the bound water content. A system of configured workflows has been developed and allows automating re-modelling and simplifying its history matching. This technique was successfully applied to several 3D models of gas condensate fields, which, with a significant drilling level on the areas and a long development history, are characterized by limited geological and production data. Workflows System together with the proposed approach allowed simplifying the history matching process by splitting it into several stages. At each stage, depending on the type of input data, various parameters were matched (production, reservoir and wellhead pressures, etc.). Due to cross-functional correlation of all components, the model has significantly reduced the uncertainty parameters and allowed a detailed history matching of the development history for the entire well stock. The results obtained were tested by several geological and technological measures, including drilling new wells, and showed high convergence with the forecast indicators. The proposed approach to modelling and history matching in conditions of limited geological and production data allows: – ensuring integration and correlation of petrophysical, geological, and hydrodynamic models as components of a permanent 3D model; – automating and simplifying the modelling, history matching, and updating a model; – improving the quality of parameters’ matching results.
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Al-Ballam, S., and K. Ziyab. "Driving Digital Innovation in North Kuwait Heavy Oil: Strategic Framework, Implementation Blueprint, and Roadmap for Industry-Wide Transformation." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2025. https://doi.org/10.2118/225124-ms.
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Abstract The North Kuwait Heavy Oil (NKHO) Digital Transformation Initiative is a pivotal effort in revolutionizing operational processes, enhancing production efficiency, and advancing sustainability within the oil and gas sector. Aligned with Kuwait's Vision 2035 and its 2050 strategic goals for sustainable development and energy diversification, this initiative also contributes to the broader Kuwait Petroleum Corporation (KPC) Digital Transformation Strategy, encompassing all K-companies, including Kuwait Oil Company (KOC). By leveraging advanced digital technologies, the initiative positions Kuwait as a global leader in the energy transition, showcasing the nation's commitment to innovation, sustainability, and adaptability in an evolving global energy landscape. This paper provides a comprehensive analysis of the digital transformation framework designed for NKHO, detailing the development of the Digital Transformation Recommendation for Implementation Report and the Digital Transformation Roadmap. The integration of advanced technologies, such as AI-driven predictive maintenance, IoT-enabled asset management, and real-time data integration platforms, sets the foundation for unprecedented improvements in operational efficiency, cost reduction, and asset reliability across NKHO's operations. Key challenges—including infrastructure limitations, workforce readiness for digital technologies, and the evolving regulatory landscape—are addressed through a collaborative approach. The paper emphasizes the critical role of cross-industry partnerships and public-private collaborations in overcoming these barriers, while outlining how AI and machine learning can be used to optimize operational workflows and predictive capabilities. Drawing from successful pilot projects and strategic workshops, the paper offers practical recommendations and scalable solutions for similar digital initiatives across the global oil and gas sector. Furthermore, this paper outlines a strategic roadmap for expanding digital transformation initiatives across NKHO operations, aligning with KOC's long-term objectives and global energy transition goals. The roadmap emphasizes the importance of data governance, predictive analytics, and cross-functional collaboration in ensuring a sustainable, scalable, and resilient digital infrastructure. By showcasing the NKHO digital transformation journey, this paper aims to provide industry leaders, engineers, and policymakers with actionable insights, best practices, and a robust framework for deploying digital technologies at scale, driving the future of oil and gas operations globally.
Reports on the topic "Cross-functional Data Integration"
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Sett, Dominic, Christina Widjaja, Patrick Sanady, et al. Hazards, Exposure and Vulnerability in Indonesia: A risk assessment across regions and provinces to inform the development of an Adaptive Social Protection Road Map. United Nations University - Institute for Environment and Human Security, 2022. http://dx.doi.org/10.53324/uvrd1447.
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Risk induced by natural hazards and climate change has been accelerating worldwide, leading to adverse impacts on communities' well-being. Dealing with this risk is increasingly complex and requires cross-sectoral action. Adaptive Social Protection (ASP) has emerged as a promising approach to strengthen the resilience of communities by integrating Social Protection (SP), Disaster Risk Management (DRM) and Climate Change Adaptation (CCA) efforts. To inform this integration and thereby support the development of a functional ASP approach, the identification and provision of relevant data and information are vital. In this context, risk assessments are crucial as they establish the groundwork for the design of effective ASP interventions. However, despite the importance of risk information for ASP and the abundance of sectoral assessments, there is not yet a comprehensive risk assessment approach, a reality that also applies to Indonesia. Although the country is one of the international pioneers of the concept and has enshrined ASP at the highest national level in its development plans, this emphasis in policy and practice has been hampered by the absence of more unified assessment methods. The Hazard, Exposure and Vulnerability Assessment (HEVA) presented here takes a unique approach to develop such a cross-sectoral risk assessment and apply it throughout Indonesia. The HEVA brings together different risk understandings of key actors both internationally and domestically within SP, DRM and CCA, as well as identifying commonalities across sectors to establish a joint understanding. The HEVA not only considers risk as an overarching outcome but also focuses on its drivers, i.e. hazards, exposure and vulnerability, to identify why specific communities are at risk and thus customize ASP interventions. Subsequently, risks are assessed for Indonesia’s regions and provinces based on this cross-sectoral risk understanding. Secondary data has been acquired from various existing sectoral assessments conducted in Indonesia, and in total, data for 44 indicators has been compiled to calculate hazard, exposure and vulnerability levels for all 34 Indonesian provinces. Findings of the HEVA suggest that overall risk is high in Indonesia and no single province can be characterized as a low-risk area, demonstrating a strong relevance for ASP throughout the whole of the country. Papua, Maluku, and Central Sulawesi were identified as provinces with the highest overall risk in Indonesia. However, even Yogyakarta, which was identified as a comparatively low-risk province, still ranks among the ten most hazard-prone provinces in the country and has a demonstrated history of severe impact events. This also underlines that the composition of risk based on the interplay of hazard, exposure and vulnerability differs significantly among provinces. For example, in Papua and West Papua, vulnerability ranks as the highest in Indonesia, while hazard and exposure levels are comparatively low. In contrast, East Java and Central Java are among the highest hazard-prone provinces, while exposure and vulnerability are comparatively low. The results provide much more comprehensive insight than individual sectoral analyses can offer, facilitating the strategic development and implementation of targeted ASP interventions that address the respective key risk components. Based on lessons learned from the development and application of the HEVA approach, as well as from the retrieved results, the report provides recommendations relevant for policymakers, practitioners and researchers. First, recommendations regarding risk assessments for ASP are given, emphasizing the need to bring together sectoral understandings and to consider the interconnection of hazards, exposure and vulnerability, including their drivers and root causes, to assess current and future risk. It is also recommended to complement national level assessments with more specific local assessments. Secondly, recommendations regarding ASP option development in general are provided, including the importance of considering side effects of interventions, root causes of risks, the potential of nature-based solutions and barriers to implementation due to local capacities when designing ASP interventions. Third, recommendations regarding focal areas for ASP programmes are outlined for the case of Indonesia, such as prioritizing interventions in risk hotspots and areas characterized by high readiness for ASP solutions. At the same time, it is vital to leave no region behind as all provinces face risks that potentially jeopardize communities’ well-being.
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Sherman, Amir, Rebecca Grumet, Ron Ophir, Nurit Katzir, and Yiqun Weng. Whole genome approach for genetic analysis in cucumber: Fruit size as a test case. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7594399.bard.
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The Cucurbitaceae family includes a broad array of economically and nutritionally important crop species that are consumed as vegetables, staple starches and desserts. Fruit of these species, and types within species, exhibit extensive diversity as evidenced by variation in size, shape, color, flavor, and others. Fruit size and shape are critical quality determinants that delineate uses and market classes and are key traits under selection in breeding programs. However, the underlying genetic bases for variation in fruit size remain to be determined. A few species the Cucurbitaceae family were sequenced during the time of this project (cucumber was already sequenced when the project started watermelon and melon sequence became available during the project) but functional genomic tools are still missing. This research program had three major goals: 1. Develop whole genome cucumber and melon SNP arrays. 2. Develop and characterize cucumber populations segregating for fruit size. 3. Combine genomic tools, segregating populations, and phenotypic characterization to identify loci associated with fruit size. As suggested by the reviewers the work concentrated mostly in cucumber and not both in cucumber and melon. In order to develop a SNP (single nucleotide polymorphism) array for cucumber, available and newly generated sequence from two cucumber cultivars with extreme differences in shape and size, pickling GY14 and Chinese long 9930, were analyzed for variation (SNPs). A large set of high quality SNPs was discovered between the two parents of the RILs population (GY14 and 9930) and used to design a custom SNP array with 35000 SNPs using Agilent technology. The array was validated using 9930, Gy14 and F1 progeny of the two parents. Several mapping populations were developed for linkage mapping of quantitative trait loci (QTL) for fruit size These includes 145 F3 families and 150 recombinant inbred line (RILs F7 or F8 (Gy14 X 9930) and third population contained 450 F2 plants from a cross between Gy14 and a wild plant from India. The main population that was used in this study is the RILs population of Gy14 X 9930. Phenotypic and morphological analyses of 9930, Gy14, and their segregating F2 and RIL progeny indicated that several, likely independent, factors influence cucumber fruit size and shape, including factors that act both pre-anthesis and post-pollination. These include: amount, rate, duration, and plane of cell division pre- and post-anthesis and orientation of cell expansion. Analysis of F2 and RIL progeny indicated that factors influencing fruit length were largely determined pre-anthesis, while fruit diameter was more strongly influenced by environment and growth factors post-anthesis. These results suggest involvement of multiple genetically segregating factors expected to map independently onto the cucumber genome. Using the SNP array and the phenotypic data two major QTLs for fruit size of cucumber were mapped in very high accuracy (around 300 Kb) with large set of markers that should facilitate identification and cloning of major genes that contribute to fruit size in cucumber. In addition, a highly accurate haplotype map of all RILS was created to allow fine mapping of other traits segregating in this population. A detailed cucumber genetic map with 6000 markers was also established (currently the most detailed genetic map of cucumber). The integration of genetics physiology and genomic approaches in this project yielded new major infrastructure tools that can be used for understanding fruit size and many other traits of importance in cucumber. The SNP array and genetic population with an ultra-fine map can be used for future breeding efforts, high resolution mapping and cloning of traits of interest that segregate in this population. The genetic map that was developed can be used for other breeding efforts in other populations. The study of fruit development that was done during this project will be important in dissecting function of genes that that contribute to the fruit size QTLs. The SNP array can be used as tool for mapping different traits in cucumber. The development of the tools and knowledge will thus promote genetic improvement of cucumber and related cucurbits.