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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.
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Arias, Jaime Andres Cardona, Orlando Fontes Lima Junior, Antônio G. N. Novaes, and Giset Natalia Montoya Moreno. "Supply chain integration in the industry 4.0 era: a systematic literature review." Brazilian Journal of Development 8, no. 10 (2022): 67536–69. http://dx.doi.org/10.34117/bjdv8n10-178.
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From an Industry 4.0 perspective, supply chain actors (suppliers, manufacturers, retailers, and third-party logistics operators) are integrated into a collaborative network based on information-sharing to improve the overall supply chain performance. Real data can be captured and systematically processed into information, hence dealing with uncertainty. Poor integration may lead to supply chain disruptions. This paper examines the role of Industry 4.0 (I4.0) for integrating the supply chain, to which a systematic literature review (SLR) has been applied. First, according to the research questions, the I4.0 technologies adopted for supply chain integration were identified. Second, the approaches for integrating the supply chain at I4.0 were examined and classified by strategy (vertical, horizontal, and end-to-end integration). Third, the functional and cross-functional approaches for supply chain integration at I4.0 were also examined. Finally, it was discussed which traditional SCI approaches can be upgraded to the Industry 4.0 era and the future research directions.
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Nazim, N. Haider. "Enhancing Forecasting Accuracy in the Pharmaceutical Industry: A Comprehensive Review of Methods, Models, and Data Applications." Journal of Scientific and Engineering Research 9, no. 2 (2022): 156–60. https://doi.org/10.5281/zenodo.11488596.
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The paper highlights the critical role of forecasting in the pharmaceutical industry, emphasizing the need for accurate demand predictions to optimize resources, enhance supply chain efficiency, and drive informed decision-making. By leveraging advanced forecasting techniques, integrating data sources, ensuring data quality, considering external factors, fostering cross-functional collaboration, validating models regularly, reducing human bias, and implementing scenario planning, pharmaceutical companies can strengthen their forecasting capabilities, improve decision-making processes, and enhance operational efficiency to remain competitive in a dynamic and evolving industry landscape.
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De Figueiredo, João Neiva, Sergio Fernando Mayerle, and Felipe Simas Donato. "Optimal product/customer mix selection as a strategic tool for cross-functional integration." Journal of Operations and Supply Chain Management 4, no. 1 (2011): 51. http://dx.doi.org/10.12660/joscmv4n1p51-70.
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Cross-functional integration is a necessity as operations become ever more important for the formulation and implementation of overall company strategy. Despite the abundance of theoretical studies extolling the advisability of smooth intra-company interfacing, the operations strategy literature has not been as prolific regarding tools to increase this desired integration. This paper develops an uncomplicated multi-period analytical model that helps increase coordination of the engineering, purchasing, marketing, and sales areas among themselves and with manufacturing by focusing on the overall company objective of maximizing contribution to profits. The paper begins describing the theoretical underpinnings of production and operations processes as they relate to the strategy of the firm, presents the model, and then expands its scope to include interfaces with other functional areas of the firm. The methodology is based on a two-stage multi-period optimization model for aggregate production planning encompassing component supply management and final assembly. This methodology expands the concept of Sales and Operations Planning (S&OP) through a linear programming model that uses cost and profit contribution data to select the optimal product and customer mix. The sensitivity of results to costing and pricing data leads to increased cross-functional coordination. An illustrative application improving the medium-term operations strategy of a Brazilian OEM manufacturer is presented.
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Researcher. "OPTIMIZING PRODUCT DEVELOPMENT THROUGH DATA-DRIVEN BACKLOG PRIORITIZATION: A CROSS-FUNCTIONAL APPROACH." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 836–44. https://doi.org/10.5281/zenodo.14243681.
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This article introduces a novel algorithmic approach to product backlog prioritization that addresses the critical challenge of balancing diverse stakeholder needs in software development. The article presents a comprehensive framework for synthesizing enhancement requests from Customer Success, Support, and Sales teams to generate data-driven prioritization decisions. The article demonstrates significant improvements in development efficiency and business outcomes by implementing an automated system that considers customer feedback patterns, support ticket frequencies, and sales pipeline obstacles. The article achieved an 85% accuracy rate in predicting high-impact feature requirements while reducing prioritization processing time by 83.5%. Key performance indicators showed substantial improvements, including a 64% increase in feature adoption rates, a 28% reduction in sales cycle length, and a 47% decrease in feature-related support tickets. The implementation also enhanced cross-functional alignment, resulting in an 89% alignment between Product and Sales priorities and a 73% reduction in conflicting feature requests. This article contributes to the theoretical understanding and practical application of product development optimization, providing organizations with a scalable framework for making more informed and efficient prioritization decisions in modern software development environments.
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Lee Park, Camila, and Ely Laureano Paiva. "How do national cultures impact the operations strategy process?" International Journal of Operations & Production Management 38, no. 10 (2018): 1937–63. http://dx.doi.org/10.1108/ijopm-03-2017-0145.
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PurposeThe purpose of this paper is to analyze the extent to which different patterns of cross-functional integration and the operations strategy (OS) process may be explained by national cultures differences.Design/methodology/approachPerceptual survey data from 105 manufacturing plants in four countries were used to validate the constructs and to test the hypotheses. The plants are located in two Western and two Eastern countries with different industrialization and development backgrounds (Brazil, China, Germany and South Korea). CFA validated the constructs, and ANOVA andt-tests evaluated the differences between levels of four Hofstede’s elements (i.e. power distance, individualism vs collectivism, uncertainty avoidance and long-term vs short-term orientation) on the OS process enablers (i.e. leadership for cross-functional integration and functional integration) and elements (i.e. manufacturing strategy linkage to corporate strategy and formulation of manufacturing strategy).FindingsResults suggest that different OS and OM processes are present in different national cultures. Leadership for cross-functional integration and manufacturing strategy linkage to corporate strategy differ between levels of power distance, individualism vs collectivism and uncertainty avoidance. Functional integration and formulation of manufacturing strategy also present differences according to the degree of individualism vs collectivism and long-term orientation.Originality/valueResults indicate that national culture is a key aspect for the OS process. Prior studies usually do not consider cultural aspects. Therefore, the OS process varies in different countries and contexts. Managers need to adjust their OS process when they are developing a global OS.
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Wu, Likun, Wei Lang, and Tingting Chen. "Deciphering Urban Land Use Patterns in the Shenzhen–Dongguan Cross-Boundary Region Based on Multisource Data." Land 13, no. 2 (2024): 161. http://dx.doi.org/10.3390/land13020161.
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Against the backdrop of coordinated development and regional integration in the Guangdong–Hong Kong–Macao Greater Bay Area, China, the integration of Shenzhen and Dongguan has received increasing attention from both academia and the government. The cross-boundary area of the two cities has also shifted from being categorized as the development edge to becoming a key area, presenting more complex spatial and functional characteristics. This paper applies multi-source data to analyze the spatial characteristics and factors of influence in the Shenzhen–Dongguan cross-boundary region from the perspective of urban land use pattern evolution. The results showed that from 2008 to 2022, (1) the spatial structure presented a development trend from multi-core to axial, then to network, gradually breaking down the development barriers in the central region; (2) the function of regional land was transformed from a single type to a composite and mixed type, and the layout of commercial, public, green, and transportation land became more dispersed and balanced; (3) the cross-administrative boundaries of commercial land were exaggerated, and industrial land was widely transformed into composite industrial and commercial land, forming an integrated industrial belt; and (4) the overall increase in the mixing degree of land use functions indicated that the two regions were interconnected and integrated with each other, and the functional structure of the cross-boundary region was relatively more complete.
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Researcher. "BEST PRACTICES FOR BUILDING AI-DRIVEN PREDICTIVE MAINTENANCE SYSTEMS." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 2074–85. https://doi.org/10.5281/zenodo.14332846.
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This comprehensive article explores implementing AI-driven predictive maintenance systems in industrial settings, focusing on best practices and essential components. The article examines how modern manufacturing facilities have improved operational efficiency through predictive maintenance strategies. It covers critical aspects, including data collection infrastructure, feature engineering, model selection, real-time integration, optimization, and implementation practices. The article demonstrates how organizations leveraging AI-powered predictive maintenance achieve substantial reductions in maintenance costs, improved equipment longevity, and enhanced operational efficiency. The article also highlights the importance of proper sensor deployment, data quality management, and cross-functional integration in successful implementations.
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Tsyganok, Ruslan. "Organization of Cross-functional (DevOps·PM) Teams in e-commerce: Processes for Teamwork." Asian Journal of Research in Computer Science 18, no. 6 (2025): 369–77. https://doi.org/10.9734/ajrcos/2025/v18i6707.
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The article investigates how to organize cross-functional e-commerce teams by integrating DevOps and traditional project management (PM) processes with systems engineering and quality assurance practices. Drawing on empirical data, classic Waterfall, Agile, and DevOps models, and a review of advanced techniques, it proposes a unified team structure comprising a Product Owner, Business Analyst, UX/UI Designer, Tech Lead, Developers, QA Specialists, and Systems Analysts. It demonstrates how Agile workflows and CI/CD pipelines align with PMBOK-based PM processes, how incremental system architecture and requirements traceability ensure precise tracking from conception to deployment, and how automated testing and DevSecOps practices balance release speed with platform reliability. Tables detail role distribution and a DevOps–PM alignment matrix, clearly illustrating which DevOps activities correspond to each PMBOK process group. These findings offer a methodological foundation for building high-performance e-commerce teams that accelerate time-to-market without sacrificing quality or scalability, and will be of interest to researchers of organizational behavior and sociotechnical systems, as well as to DevOps and project managers focused on optimizing continuous integration, delivery, and product management.
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Gbabo, Ebimor Yinka, Odira Kingsley Okenwa, and Possible Emeka Chima. "Constructing Workforce Alignment Models for Cross-Functional Delivery Teams in Infrastructure Projects." International Journal of Multidisciplinary Research and Growth Evaluation 3, no. 2 (2022): 746–53. https://doi.org/10.54660/.ijmrge.2022.3.2.746-753.
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This paper addresses the critical challenge of workforce alignment within cross-functional delivery teams engaged in infrastructure projects, where complexity, interdependence, and scale demand coordinated effort. Drawing on foundational theories of organizational alignment, systems thinking, and socio-technical integration, the study develops a structured methodological approach for constructing alignment models. Key data inputs including organizational structures, industry benchmarks, and performance indicators inform the model design. Three conceptual frameworks are proposed: the Role-Function Alignment Matrix, which ensures clarity and accountability across disciplines; the Competency Layering and Integration Model, which aligns technical, managerial, and collaborative skills with delivery objectives; and the Communication and Coordination Flow Map, which structures vertical and horizontal information flows to enhance team coordination. These models provide practical guidance for workforce planning, team configuration, and performance management in complex project environments. The paper concludes with recommendations for empirical validation and cross-sector adaptation, aiming to advance workforce strategy in project delivery.
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Gbabo, Ebimor Yinka, Odira Kingsley Okenwa, and Possible Emeka Chima. "Constructing Workforce Alignment Models for Cross-Functional Delivery Teams in Infrastructure Projects." International Journal of Multidisciplinary Research and Growth Evaluation 3, no. 2 (2022): 789–96. https://doi.org/10.54660/.ijmrge.2022.3.2.789-796.
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This paper addresses the critical challenge of workforce alignment within cross-functional delivery teams engaged in infrastructure projects, where complexity, interdependence, and scale demand coordinated effort. Drawing on foundational theories of organizational alignment, systems thinking, and socio-technical integration, the study develops a structured methodological approach for constructing alignment models. Key data inputs including organizational structures, industry benchmarks, and performance indicators inform the model design. Three conceptual frameworks are proposed: the Role-Function Alignment Matrix, which ensures clarity and accountability across disciplines; the Competency Layering and Integration Model, which aligns technical, managerial, and collaborative skills with delivery objectives; and the Communication and Coordination Flow Map, which structures vertical and horizontal information flows to enhance team coordination. These models provide practical guidance for workforce planning, team configuration, and performance management in complex project environments. The paper concludes with recommendations for empirical validation and cross-sector adaptation, aiming to advance workforce strategy in project delivery.
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Shraddha Verma. "Enhancing workday calculated fields with hyperlink integration for dynamic enterprise data navigation." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 954–60. https://doi.org/10.30574/wjaets.2025.15.2.0586.
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This article presents a comprehensive framework for enhancing calculated fields within enterprise software systems through hyperlink integration. By enabling direct navigation from calculation results to related data points, this functionality addresses current limitations of static displays while improving operational efficiency and user experience. The proposed implementation includes technical specifications for URL structure frameworks, field reference systems, and security integration mechanisms essential for seamless deployment. The benefits span multiple business functions, transforming workflows in human resources, financial management, and cross-functional processes through improved information accessibility. The integration converts isolated calculations into interactive gateways for contextual data exploration, reducing cognitive load, accelerating decision-making, and increasing data confidence. This enhancement represents a fundamental improvement in how users interact with organizational data, ultimately delivering measurable productivity gains and higher system adoption rates.
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Bharat Kumar Reddy Kallem. "Building a centralized data lake: A game-changer for enterprise data management." Global Journal of Engineering and Technology Advances 23, no. 1 (2025): 370–75. https://doi.org/10.30574/gjeta.2025.23.1.0134.
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The implementation of centralized data lakes represents a transformative shift in enterprise data management, offering comprehensive solutions for the exponential growth of diverse data types across organizations. As global data creation continues to expand dramatically, traditional management approaches increasingly struggle to accommodate the volume, variety, and velocity of information generated by modern enterprises. Centralized data lakes provide scalable, flexible, and cost-effective repositories for structured, semi-structured, and unstructured data in native formats. However, successful implementation requires strategic approaches to governance, integration, and security to avoid creating unusable "data swamps." By adopting multi-layered architectural frameworks, breaking down departmental silos through cross-functional governance, implementing master data management practices, and embedding robust security protocols from initial design phases, organizations can unlock substantial value from their data assets. The transition from traditional warehousing to data lake environments enables faster query response times, reduced storage costs, improved cross-departmental collaboration, and enhanced analytical capabilities when implemented with careful attention to metadata management, data lineage, and compliance considerations.
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Ann Mbugua and Timothy Okech. "Internal Integration and Operational Performance of Kenya’s Public Hospitals." Kabarak Journal of Research & Innovation 13, no. 3 (2023): 74–87. http://dx.doi.org/10.58216/kjri.v13i3.362.
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The purpose of this paper was to determine the influence of Internal Integration and operational performance in Kenya’s level five public hospitals, as well as the moderating effect of public procurement to the relationship. The study adopted causal and cross-sectional study design to examine the relationship between internal integration, operational performance using empirical data. One hundred sixty-four respondents drawn from the level five public hospitals participated in the research. These were selected from supply chain key personnel working in the supply by applying simple random sampling. Data was collected through a structured questionnaire that contained both open-ended and closed-ended questions and analysed. The results show a significant relationship between internal integration and operational performance (β1=0.286, p<0.05) with an R-square of 0.421, implying that 42.1% of the variation in the operational performance in level five public hospitals is attributed to changes in internal integration through responsiveness, integrated system, and real-time inventory management, online integration with internal customers, suppliers and warehouse, cross-functional teams, real-time logistics information, functional planning meetings, team building, and regular briefings. Public procurement was also found to significantly moderate the relationship between internal integration and operational performance (β2=0.378, p<0.05) of the level five public hospitals.The study recommends robust and effective internal integration by strengthening the facilities capabilities through information sharing, structuring of internal operations and process integration before they can engage in meaningful external integration.
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Park, Jihye, and Dawoon Jung. "A Study on the Relationship Between Manufacturing–R&D Integration and the Customer Satisfaction: Focusing on the Role of a Cross-Functional Team and Manufacturing Flexibility." Korean Production and Operations Management Society 33, no. 2 (2022): 223–41. http://dx.doi.org/10.32956/kopoms.2022.33.2.223.
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Given that the small and medium-sized enterprises (SMEs) are working in an increasingly competitive business environment with limited resources, manufacturing flexibility can be a vital source of a competitive advantage. Thus, having strong attention to manufacturing flexibility as a good means for improving the competitiveness of SMEs in the Korean manufacturing industry, this study investigates 1) the relationship between cross-functional integration (CFI), manufacturing flexibility, and customer satisfaction and 2) the role of a cross-functional team (CFT) made up of employees from different functional departments. From a large-scale sample of 504 SME data, this study empirically confirms that a higher level of integration between manufacturing and R&D tends to improve manufacturing flexibility, which ultimately increases customer satisfaction. Moreover, even when manufacturing-R&D integration is insufficient, forming a CFT secures a high level of manufacturing flexibility, which implies that a CFT officializes the need for the concentration and orchestration of a firm's diverse competence and helps to cultivate capabilities for enhancing the organizational performance.
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Song, X. Michael, and Mark E. Parry. "The Determinants of Japanese New Product Successes." Journal of Marketing Research 34, no. 1 (1997): 64–76. http://dx.doi.org/10.1177/002224379703400106.
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The authors report the results from a three-year study of new product development practices in Japanese firms. They develop a causal model of factors correlated with new product success. They test the model using data collected on 788 new products developed and commercialized by Japanese firms in the past four years. The “best practices” identified in this study suggest that Japanese new product success is positively influenced by the level of cross-functional integration and information sharing, the firm's marketing and technical resources and skills, the proficiency of the new product development activities undertaken, and the nature of market conditions. Cross-functional integration and product competitive advantage are two key determinants of new product success. The authors also discuss managerial and research implications.
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Satya Krishna Kapil Tadikonda. "Bridging disciplines: Cross-functional collaboration frameworks in modern AI Development." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 203–10. https://doi.org/10.30574/wjaets.2025.15.1.0211.
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This article examines the critical role of cross-functional collaboration in developing effective artificial intelligence systems. Through an analysis of organizational structures, communication protocols, and decision-making frameworks in multiple AI development environments, we identify key patterns that contribute to successful outcomes. The article synthesizes case studies from diverse industries to extract actionable insights for managing interdisciplinary teams comprising AI researchers, software engineers, UX designers, and quality assurance specialists. The article proposes a collaborative framework that addresses common challenges, including the alignment of technical capabilities with user needs, data integration across organizational boundaries, and ethical considerations in AI deployment. The findings suggest that organizations implementing structured cross-functional approaches achieve more robust AI solutions while reducing development timelines. This article contributes to the emerging understanding of best practices in AI development by highlighting specific mechanisms through which diverse expertise can be effectively integrated throughout the product lifecycle.
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Apeh, Charles Elachi, Chinekwu Somtochukwu Odionu, Bernadette Bristol-Alagbariya, Richard Okon, and Blessing Austin-Gabriel. "Advancing workforce analytics and big data for decision-Making: Insights from HR and pharmaceutical supply chain management." International Journal of Multidisciplinary Research and Growth Evaluation 5, no. 1 (2024): 1217–22. https://doi.org/10.54660/.ijmrge.2024.5.1.1217-1222.
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The integration of workforce analytics and big data has emerged as a transformative approach to enhancing decision-making in modern organizations. This paper explores workforce analytics's foundational principles and evolution in human resource management, highlighting its impact on employee performance, talent acquisition, and retention strategies. It further examines the role of big data in optimizing pharmaceutical supply chains, addressing inefficiencies, forecasting demand, and ensuring product availability while navigating ethical and compliance considerations. The study underscores the synergies between these domains, emphasizing shared methodologies, cross-functional analytics, and the transformative potential of emerging technologies like artificial intelligence and machine learning. Organizations can achieve strategic alignment, operational efficiency, and resilience by harmonizing workforce management and supply chain optimization. Recommendations are provided for stakeholders to adopt a holistic, data-centric approach, leveraging advanced tools and fostering cross-functional collaboration to drive sustainable growth and innovation.
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Keszey, Tamara, and Wim Biemans. "Trust in marketing’s use of information from sales: the moderating role of power." Journal of Business & Industrial Marketing 32, no. 2 (2017): 258–73. http://dx.doi.org/10.1108/jbim-09-2015-0169.
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Purpose This paper aims to improve marketing managers’ use of information from sales. The authors propose and empirically test the link between cross-functional trust and marketing’s use of information from sales, and whether this effect is contingent on marketing’s power within the firm. Design/methodology/approach Cross-sectional survey data were collected from 338 large-scale Hungarian firms. Structural equation modeling and bootstrap procedures were used to test the hypotheses. Findings The effect of cross-functional trust on marketing managers’ use of sales information is fully mediated by sales–marketing integration and marketing’s perception of information quality. However, the power of marketing within the firm moderates this mediating relationship. Research limitations/implications This paper provides empirical evidence concerning the mediating mechanisms of transferring cross-functional trust to marketing’s successful use of information from sales. The findings imply that cross-functional trust can improve marketing managers’ use of sales information of firms with powerful marketing units by facilitating integration, whereas it can improve the use of sales information of firms with low marketing power by improving marketing managers’ perception of information quality from sales. Originality/value This is the first study that models and empirically investigates marketing managers’ use of information collected by sales. The current study conceptually links and advances extant knowledge on the literatures on the sales–marketing interface and utilization of market information at the individual level and increases the understanding of how cross-functional trust contributes to information use under different contingencies of marketing power.
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Aditya, Shah, Jayaram Srikrishna, and Jain Chinmay. "Optimizing Product Go-To-Market Strategies Through Market Research and Backend Design Integration." Sarcouncil Journal of Entrepreneurship and Business Management 4, no. 3 (2025): 8–15. https://doi.org/10.5281/zenodo.15046665.
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This study explores the impact of integrating market research and backend design on optimizing product go-to-market (GTM) strategies. Employing a mixed-methods approach, primary data were collected through surveys and interviews with marketing managers, product managers, and backend engineers, while secondary data were gathered from industry reports. Quantitative analysis, including multiple linear regression and structural equation modeling (SEM), revealed that backend integration significantly mediates the relationship between market research and GTM success. Companies with strong integration practices achieved a 28% reduction in time-to-market, 15% lower customer acquisition costs, and a 19% improvement in conversion rates. The qualitative analysis identified key challenges such as organizational silos and technological incompatibilities and highlighted success factors including cross-functional collaboration and the use of APIs for real-time data sharing. The study validates the resource-based view (RBV) theory, demonstrating that aligning technological infrastructure with market insights enhances GTM outcomes. The findings emphasize the importance of real-time data integration, agile methodologies, and predictive analytics in driving competitive advantage. This research offers valuable insights for businesses seeking to enhance their GTM strategies through data-driven integration and technological innovation
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Vinay Sai Kumar Goud Gopigari. "AI-driven API adaptation: The future of self-learning integrations." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 115–27. https://doi.org/10.30574/wjaets.2025.15.2.0525.
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The accelerating pace of digital transformation has created a critical challenge for organizations as they struggle to maintain operational continuity amid frequent API changes. Traditional integration approaches, characterized by static contracts and manual adaptation, lead to cascading failures, data integrity issues, and substantial maintenance overhead. This article examines how AI-driven API adaptation transforms this landscape by creating self-learning integrations capable of autonomously detecting, interpreting, and responding to API evolution. Through continuous monitoring, natural language processing for semantic understanding, and automated transformation generation, these systems maintain functional compatibility despite upstream changes. The implementation of adaptive integration capabilities yields multiple benefits including reduced operational costs, enhanced system reliability, accelerated innovation cycles, and improved architectural scalability. The article explores applications across cloud service integration, financial technology ecosystems, and enterprise resource planning environments, providing a case study demonstrating the practical mechanics of automated adaptation. It concludes by examining emerging trends including predictive adaptation, cross-domain learning, and community-based knowledge sharing that promise to further revolutionize integration architecture.
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Mogaka, Conrad, Sammy Odari, and Wycliffe Arani. "Leveraging Technology Integration in Kenya's Food & Beverage Industry for Competitiveness." International Journal of Social Science and Humanities Research (IJSSHR) ISSN 2959-7056 (o); 2959-7048 (p) 2, no. 1 (2024): 66–81. http://dx.doi.org/10.61108/ijsshr.v2i1.70.
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Technology acts in the enterprise as a crucial lynchpin connecting functional areas. For more than 20 years, technology has been commonly defined as a vital instrument for efficient and competitive supply chain and logistics organizations. Kenyan food and beverage firms are vulnerable to SC disruptions and challenges, which are rooted in the lack of effective internal and external supply chains. As such, the disjointed nature of the food and beverage manufacturing subsector presents a significant challenge in relation to competitive advantage. Companies are enhancing competitiveness by strategically utilizing technology. Therefore, the main aim of the study was to evaluate the effect of technology integration on the competitive advantage of food and beverage manufacturing firms in Kenya. The study adopted a cross sectional survey. The target population was managers working along the supply chain from 270 food and beverage manufacturing firms in Kenya. Two-stage sampling design was employed. First stage, cluster random sampling was used to obtain 73 food & beverages manufacturing firms. Second stage, convenience sampling was used to select two participants from the 73 selected firms. Thus, a sample size of 146. Questionnaires were used to collect primary data using both the drop and pick and mailing methods. Secondary data was obtained through document analysis. Data was analyzed using SPSS version 28 to generate descriptive and inferential statistics. The study found that technology integration had a positive significant linear relationship with competitive advantage. Additionally, the competitive advantage is anticipated to grow for every unit increase in technology integration. Thus, the study concludes that the parameters of technology integration (automatic identification technology, advanced planning systems, transaction processing systems, and data sharing systems) are crucial in enhancing a company's competitive advantage in the food and beverage industry. The study also revealed that food and beverage manufacturing firms in Kenya have not standardized or managed the exchange of knowledge between cross-functional departments, improved demand forecasting accuracy, or reduced bottlenecks between internal processes and external suppliers. The study recommends implementation of a KMS that facilitates cross-functional knowledge sharing and standardization. Prioritize features like document management, collaboration tools, and knowledge repositories tailored to the industry's specific needs.
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Mogaka, Conrad Ochego. "The impact of supply chain integration practices on competitive advantage: A study of food and beverage manufacturing firms in Kenya." Journal of Sustainable Development of Transport and Logistics 9, no. 2 (2024): 53–77. http://dx.doi.org/10.14254/jsdtl.2024.9-2.5.
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Purpose: This study aims to establish the relationship between supply chain integration practices and competitive advantage in Kenyan food and beverage manufacturing firms. Methodology: A cross-sectional survey design was employed. Data was collected from 146 respondents across 73 firms using structured and unstructured questionnaires. Linear regression analysis was conducted using SPSS version 28. Results: The study found positive significant correlations between functional integration, supplier integration, customer integration, and technology integration with competitive advantage of the sampled firms. Theoretical contribution: This research extends the application of systems theory, resource-based view, social exchange theory, and relational exchange theory to supply chain integration in an emerging market context. Practical implications: Food and beverage manufacturers in Kenya can enhance their competitive advantage by strategically implementing supply chain integration practices across functional, supplier, customer, and technological domains. Sustainable Development Goals (SDGs): SDG 8: Decent Work and Economic Growth; SDG 9: Industry, Innovation and Infrastructure; SDG 12: Responsible Consumption and Production; SDG 17: Partnerships for the Goals
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Laco, Venice Ann DC, Jesus P. Briones, and Flormando P. Baldovino. "Impact of Cross-Functional Integration on Organizational Performance of a Semiconductor Company in the Philippines." Organization and Human Capital Development 3, no. 1 (2024): 84–95. http://dx.doi.org/10.31098/orcadev.v3i1.2011.
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Cross-functional integration (CFI) plays a crucial role in achieving the business objectives of any organization. This study assessed the impact of CFI on the organizational performance of a semiconductor company in the Philippines. This descriptive-quantitative research used an adapted questionnaire covering the three elements of CFI: collaboration, coordination, and communication. The data were gathered using Google Forms via email and Microsoft Teams from 87 employees on their supervisory levels of the subject-semiconductor company. The findings revealed that the subject-semiconductor company has a supportive culture for CFI. The present study has also provided empirical evidence that CFI is crucial to organizational performance. CFI practices in terms of the three elements have no significant differences as perceived by the respondents when grouped according to age, gender, and length of service. However, there exist significant differences in their perceptions of the practice of CFI in terms of coordination and communication when they are grouped by area/ department assignment. This suggests that the company can improve CFI by focusing on better coordination and communication across functions.
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Alade, Olanrewaju, Mobolaji Ogunbadejo, Oluwatobi Adedamola Ayilara-Adewale, and Ayodeji Julius Sokunbi. "Bridging The Gap Between Data-Driven Decision Making and Human-Centric Management in Organisations." International Journal of Scientific Research and Management (IJSRM) 13, no. 03 (2025): 2103–12. https://doi.org/10.18535/ijsrm/v13i03.ec06.
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The integration of data-driven decision-making (DDDM) and human-centric management has emerged as a transformative strategy for modern organizations seeking to thrive in an increasingly dynamic and competitive landscape. This paper explores the synergy between these two approaches, highlighting their theoretical foundations, advantages, challenges, and practical applications. It examines how DDDM leverages advanced tools and analytics to enhance efficiency and scalability while addressing the critical role of human-centric management in fostering employee engagement, creativity, and organizational resilience. The study identifies key barriers to integration, including technical challenges such as data silos and legacy systems, cultural resistance to change, and ethical considerations around data use and privacy. Strategies for overcoming these obstacles are proposed, emphasizing cross-functional collaboration, alignment with organizational values, and the design of adaptive systems that prioritize human interaction. Drawing on case studies and best practices, this paper also explores how organizations can successfully balance technological innovation with human-centric approaches, particularly during digital transformation initiatives. Future research opportunities are outlined, including the exploration of emerging technologies, ethical frameworks, and cross-cultural adaptations, to further advance the integration of these paradigms. By bridging the gap between DDDM and human-centric management, this study provides a comprehensive framework for achieving sustainable organizational success that values both technological innovation and the human element at its core.
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Ma, Xiaowen, Wenyu Bi, Maoxi Li, Penghao Liang, and Jiang Wu. "An Enhanced LSTM-based Sales Forecasting Model for Functional Beverages in Cross-Cultural Markets." Applied and Computational Engineering 118, no. 1 (2025): 55–63. https://doi.org/10.54254/2755-2721/2025.20809.
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This paper proposes an enhanced Long Short-Term Memory (LSTM) based forecasting model explicitly designed for functional beverage sales prediction in cross-cultural markets. Traditional forecasting methods often struggle with capturing the complex interplay between cultural factors and sales patterns, leading to suboptimal prediction accuracy in diverse market environments. The proposed model incorporates innovative architectural modifications to the standard LSTM structure, integrating cultural-aware gates and specialized feature engineering techniques to capture market-specific characteristics. The research utilizes comprehensive sales data from six major markets across North America, Asia, and Europe from 2019 to 2023. The enhanced model demonstrates superior performance with a 28.4% improvement in prediction accuracy compared to traditional methods, achieving an average RMSE of 0.134 across all tested markets. The model's effectiveness is particularly evident in markets with high cultural diversity, where it achieved a 31.5% reduction in prediction error compared to conventional approaches. The research findings establish that cultural dimensions account for approximately 37.5% of sales variation across markets, highlighting the critical importance of cultural feature integration in sales forecasting. The practical implementation of the model resulted in a 23.7% reduction in inventory holding costs and improved resource allocation efficiency. This research contributes to the theoretical understanding of cross-cultural market dynamics and practical applications in global business operations.
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Siagian, Hotlan, Sautma Ronni Basana, Zeplin Jiwa Husada Tarigan, Maya Novitasari, and Ferry Jie. "Role of supply chain management in improving competitive advantage of Indonesian small and medium enterprises." Problems and Perspectives in Management 22, no. 2 (2024): 696–707. http://dx.doi.org/10.21511/ppm.22(2).2024.54.
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Global competition has forced companies, including small and medium enterprises (SMEs), to improve their competitive advantage. Supply chain management practices are the ways to improve the competitive advantage, particularly in the global competition context. However, there is still doubt SMEs can compete globally, considering they face limited resources, skilled workforce, and business networks. Therefore, this study aims to examine the influence of supply chain management practices, covering cross-functional integration, partnership, responsiveness, and resilience. Moreover, this study has examined which practices dominate in improving competitive advantage. The quantitative study involved 445 SMEs located in East Java, Indonesia. The respondents are supervisors or higher levels and work in departments related to supply chain management, as they can provide the relevant information and possess complete knowledge of management practices. The data were collected via a questionnaire designed with a five-point Likert scale. The responses were analyzed using SmartPLS software 4.0. The results show that cross-function integration improves supply chain partnership, responsiveness, and resilience (β = 0.705, 0.382, 0.324; t-value = 25.177, 6.697, 5.783). Supply chain partnerships affect supply chain responsiveness, resilience, and competitive advantage (β = 0.327, 0.257, 0.249; t-value = 5.933, 4.536, 5.651). Moreover, supply chain responsiveness improves supply chain resilience and competitive advantage (β = 0.285, 0.106; t-value = 5.690, 2.099). Supply chain resilience improves competitive advantage (β = 0.435 and t-value = 8.987). SMEs can enhance their competitive advantage by integrating their internal cross-functional integration and adopting supply chain partnership, responsiveness, and resilience. Acknowledgments The authors would like to thank DIKTI 2023 and Research and Community Outreach Petra Christian University for providing the grant to fund this research.
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Padovan, Diego, Javid Taheri, and Fabrizio d’Amore. "Safeguarding Information in Service Science with Service Integration." ITM Web of Conferences 38 (2021): 02005. http://dx.doi.org/10.1051/itmconf/20213802005.
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Service Science can be described through information, that underpins knowledge as enabler of service value chain. Therefore data, as a part of information, is a basic asset of the service market where undertakings constantly face high competition and try to protect such assets from malicious attackers. Information as to be preserved also for regulatory constraints, and traditional organizational models can have limits in doing so. In this paper it is discussed the possibility to manage both data protection and cyber security through an information security integrated management service (ISIMS). In fact, as per other cross-functional knowledge, information security and data privacy compliance can be managed via an integrated approach, as a possible evolution of the common organizational separation between their respective domains, namely Legal and IT. Moreover, this paper identifies major areas of benefits as well as current lack of integrated systems for information safeguard in Service Science.
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Trad, Antoine. "Enterprise Transformation Projects-Cloud Transformation Concept Holistic Security Integration (CTC-HSI)." WSEAS TRANSACTIONS ON COMPUTERS 21 (December 30, 2022): 343–64. http://dx.doi.org/10.37394/23205.2022.21.41.
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This chapter presents the fundaments of the Cloud Transformation Concept (CTC) and this concept is a basic component of the author’s transformation framework and in complex transformation projects, where a holistic security concept is a top priority. The implementation of CTC’s Holistic Security Integration (CTCHSI) is supported by the author’s Applied Holistic Mathematical Model (AHMM) for CTC (AHMM4CTC) and his various research works on Holistic Security Integration (HSI), Business Process Management (BPM), Artificial Intelligence (AI), AI Services (AIS), Compute Services (CS), Mathematical Models, cross-functional transformations projects. The AHMM4CTC is based on cross-functional research on an authentic and proprietary mixed research method supported by his own version of an AI learning model, a search tree, combined with an internal heuristic algorithm. In this chapter, the focus is on CTC-HSI’s integration concepts, requirements, services, data management, and corresponding transformation security strategies. The proposed AHMM4CTC-based CTC-HSI is a concept for secured environments, which use real-life cases of a transformation project, which needs scalable and secured Cloud Platform’s (CP) infrastructure and services layer, that are supported by the alignment of CP services, standards, enterprise architecture paradigm, and security development strategies. In a CP-based transformation project, the author recommends integrating a Private CP (PCP); which can use commercial CPs like the Google CP (GCP). The GCP was chosen as a sample CP, but there is a need to define a standardized security architecture and concept/procedures so that the organization builds its own CTC-HSI-based PCP and has to avoid locked-in commercial products.
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Vinay Sai Kumar Goud Gopigari. "The Role of MuleSoft in AI-Enhanced Predictive Demand Forecasting for Supply Chain Optimization." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 061–80. https://doi.org/10.30574/wjarr.2025.26.2.1592.
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This article examines the transformative role of MuleSoft in enabling AI-enhanced predictive demand forecasting for supply chain optimization. Beginning with an overview of the evolution from traditional forecasting methods to sophisticated AI-powered approaches, the discussion progresses through MuleSoft's API-led connectivity framework and its critical function in integrating diverse data sources. The integration architecture facilitates seamless connections between enterprise systems and external variables while enabling real-time data synchronization. The implementation of AI models through MuleSoft creates pathways for processing historical sales data and deploying predictive capabilities within various supply chain contexts. These integrated systems drive automated inventory optimization and support cross-functional decision-making with measurable performance metrics. Industry-specific implementations across retail, consumer packaged goods, industrial manufacturing, and pharmaceutical sectors demonstrate the adaptability of this article, while emerging technologies like federated machine learning, digital twins, and knowledge graphs point toward future opportunities. Addressing current technical and organizational challenges will further advance the integration of predictive forecasting into resilient supply chain operations.
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Tejaswi Adusumilli. "Unraveling microservices architecture for enterprise integration." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 330–38. https://doi.org/10.30574/wjarr.2025.26.1.1072.
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This article provides a comprehensive exploration of microservices architecture as a paradigm for enterprise integration, examining both theoretical foundations and practical implementation strategies. Beginning with the conceptual underpinnings that distinguish microservices from monolithic and service-oriented approaches, the article progresses through technical components essential for effective integration, including API gateways, service discovery mechanisms, communication protocols, data consistency patterns, and event-driven architectures. By analyzing enterprise integration patterns adapted for microservices ecosystems, the discussion addresses critical challenges such as legacy system integration, cross-functional data aggregation, and distributed security. The article examination of real-world implementations across diverse industries reveals common migration strategies, measurement frameworks, and mitigation approaches for typical obstacles. Beyond technical considerations, the article investigates the organizational transformations necessary for successful adoption, including team structure evolution, governance frameworks, DevOps practices, and cultural shifts. Looking forward, emerging trends such as serverless architectures, AI-enhanced operations, evolving service mesh technologies, and sustainability considerations suggest the continued evolution of microservices as a foundational approach for building resilient, scalable, and adaptable enterprise systems that can effectively respond to changing business requirements.
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Richer, Aaron. "The integrated boardwalk: a tool for large capital project integration." APPEA Journal 54, no. 2 (2014): 558. http://dx.doi.org/10.1071/aj13131.
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Successful capital project execution of any size is a challenging endeavour. Performance gaps in on-time and on-budget delivery are often due to the inability to effectively integrate cross-functional work teams. Faced with delivering one of the largest capital projects in its portfolio, the leadership team of a large O&G asked: how do we best integrate 16 functional teams required to deliver this project? How do we get the right forums with the right audience as we are all busy? How do we build a culture of trust and performance transparency? In response, the team developed the integrated boardwalk approach as the way to run their business. The approach was for each of the 16 functional groups to build individual dashboards based on an agreed template of performance metrics. The dashboards are permanently visible performance boards in each work area. Senior leaders and leads would walk the performance boards spending no more than 15–20 mins at each. The intention is to provide an open and safe space for leads to talk about all aspect of their business as it relates to project readiness. Senior leaders drive the desired performance behaviours, where the functional leads highlight risks and specific barriers that leadership can act on and eliminate. The boardwalks have created a cultural change in the organisation, specifically: people have the right focused forums to talk about their business with the right audience using the right data; and, leaders have the transparency required to ask the right probing questions, recognise data-driven progress.
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Marciniak, Rolande, Redouane E.L. Amrani, Frantz Rowe, and Frédéric Adam. "Does ERP integration foster Cross-Functional Awareness? Challenging conventional wisdom for SMEs and large French firms." Business Process Management Journal 20, no. 6 (2014): 865–86. http://dx.doi.org/10.1108/bpmj-05-2013-0056.
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Purpose – The purpose of this paper is to explore the concept of Cross-Functional Awareness (CFA) and to question how firm size influences the impact of ERP implementation strategies on CFA. Specifically, the paper questions whether size moderates the capability of the firm to achieve CFA. Design/methodology/approach – The authors developed and empirically tested a conceptual framework using the partial least squares structural equation modeling approach. This study gathered data from a sample of 45 French SMEs and 55 French large firms. Findings – The results show that ERP implementation strategies (flexibility, organizational vision, Business Process Re-Engineering, speed of implementation, and focus on core modules) have a direct positive relationship and, in large firms, an indirect relationship (via data quality improvement) with the emergence of CFA. The study also suggests that firm size moderates the resulting emergence of ERP-enabled CFA. The findings will help researchers understand the factors associated with ERP implementation and use that promote or inhibit successful use of ERP systems. Research limitations/implications – Similar to many published ERP surveys, the sample size is small. In addition, the authors examined CFA in the survey from the perspective of a single respondent per firm. Finally, there may be a cultural limitation linked to the respondents all being French firms. Practical implications – The findings will promote a better understanding of the concept of CFA and its benefits amongst managers, leading to increased productivity and efficiency with ERP. In particular, they will help practitioners identify and manage the right factors during ERP implementations. Originality/value – In the expanding world of Enterprise System research, this paper is significant in that it studies the effect of ERP implementation on CFA rather than investigating the factors affecting ERP implementation or the outcomes of ERP implementations. To the best of the knowledge, this is one of the few papers that theoretically articulates and empirically explores the concept of CFA, and tests the relationship between implementation strategy factors and CFA, including the moderating role of size in the context of ERP. The contribution shows that the firm size effect should be examined at the level of SMEs and larger firms separately, rather than at an overall level.
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Bharat Nagamalla. "Architecting Reliable Data Systems for Smart Agriculture: A Big Data and SRE Perspective." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 556–63. https://doi.org/10.32628/cseit25111253.
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This article explores the transformation of agricultural systems through the integration of Big Data analytics and Site Reliability Engineering (SRE) practices, focusing on the development of robust and reliable data systems for smart agriculture. The article examines the evolution from traditional farming methods to data-driven precision agriculture, highlighting the critical role of IoT sensor networks, real-time analytics, and automated decision support systems. The article investigates the infrastructure requirements, challenges, and solutions in implementing reliable agricultural technology systems, including data collection mechanisms, processing architectures, and rural connectivity solutions. It addresses the importance of SRE practices in maintaining system reliability, incident response, and disaster recovery strategies while examining the implementation of predictive modeling and machine learning applications for crop management. The article also analyzes technical challenges in rural environments, data quality validation, system redundancy, and scalability requirements during peak agricultural seasons. Furthermore, it explores emerging trends and best practices in agricultural technology, emphasizing the importance of sustainable practices and cross-functional team structures in modern farming operations.
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Boer, Henrike, and Harry Boer. "Design-for-variety and operational performance." Journal of Manufacturing Technology Management 30, no. 2 (2019): 438–61. http://dx.doi.org/10.1108/jmtm-03-2018-0065.
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Purpose Design-for-variety (DFV) practices aim to help manufacturers to manage and mitigate the negative impact of product variety on operational performance. Theory suggests that designing products according to DFV practices increases operational performance by allowing more efficient processing of products, capitalizing on commonalities and by supporting cross-functional and cross-boundary coordination through simplifying product designs. The purpose of this paper is to investigate the latter proposition, and especially the mediating role of internal, supplier and customer integration in the relationship between DFV and operational performance. Design/methodology/approach Data collected in 2014 among 702 manufacturers from 22 countries as part of the 6th International Manufacturing Strategy Survey are analyzed through mediated regression analysis using SPSS 25, AMOS and PROCESS v3.1 software. Findings DFV affects cost/speed, quality, delivery, flexibility and service performance positively. Except for the role of customer integration in the DFV-cost/speed relationship, internal, supplier and customer integration partially mediate the relationship between DFV and operational performance. Practical implications In addition to allowing a more efficient processing of products, the positive effect of DFV on performance is also explained by the fact that DFV practices support cross-functional and supply chain integration. These practices allow manufacturers to create a set of design rules easily understood and communicated within and across organizational boundaries. Originality/value While previous research tends to consider one DFV practice and limited sets of integration mechanisms and performance dimensions, this paper consolidates the most common DFV practices into one construct and encompasses the three forms of integration and six performance dimensions dominating the DFV literature.
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Ashwin Vijaykumar Bajoria. "Beyond traditional credit metrics: A project management framework for alternative data integration in credit scoring systems." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 547–56. https://doi.org/10.30574/wjaets.2025.15.3.0960.
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The integration of alternative data sources into credit scoring systems presents a comprehensive project management framework addressing critical gaps in financial services practice. Non-traditional data sources introduce unique challenges requiring structured solutions for data collection, privacy governance, model validation, and stakeholder management. Through established methodologies and industry practices, the proposed strategic framework balances technical implementation with regulatory compliance while promoting fairness in credit assessment. Cross-functional collaboration between data science, legal, compliance, and IT departments facilitates navigation of the complex alternative data landscape. By systematically addressing these project management considerations, financial institutions can expand credit accessibility to traditionally underserved populations while maintaining robust risk assessment protocols. This contribution enhances both theoretical understanding and practical implementation of more inclusive credit scoring systems through effective project management strategies.
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Zhang, Bowen, Chen Zhong, Qili Gao, Zahratu Shabrina, and Wei Tu. "Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area." Computers, Environment and Urban Systems 98 (December 2022): 101872. http://dx.doi.org/10.1016/j.compenvurbsys.2022.101872.
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Chitoiu, Leona, Alexandra Dobranici, Mihaela Gherghiceanu, Sorina Dinescu, and Marieta Costache. "Multi-Omics Data Integration in Extracellular Vesicle Biology—Utopia or Future Reality?" International Journal of Molecular Sciences 21, no. 22 (2020): 8550. http://dx.doi.org/10.3390/ijms21228550.
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Extracellular vesicles (EVs) are membranous structures derived from the endosomal system or generated by plasma membrane shedding. Due to their composition of DNA, RNA, proteins, and lipids, EVs have garnered a lot of attention as an essential mechanism of cell-to-cell communication, with various implications in physiological and pathological processes. EVs are not only a highly heterogeneous population by means of size and biogenesis, but they are also a source of diverse, functionally rich biomolecules. Recent advances in high-throughput processing of biological samples have facilitated the development of databases comprised of characteristic genomic, transcriptomic, proteomic, metabolomic, and lipidomic profiles for EV cargo. Despite the in-depth approach used to map functional molecules in EV-mediated cellular cross-talk, few integrative methods have been applied to analyze the molecular interplay in these targeted delivery systems. New perspectives arise from the field of systems biology, where accounting for heterogeneity may lead to finding patterns in an apparently random pool of data. In this review, we map the biological and methodological causes of heterogeneity in EV multi-omics data and present current applications or possible statistical methods for integrating such data while keeping track of the current bottlenecks in the field.
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Paschal Maduka, Chinedu, Chiamaka Chinaemelum Okongwu, Amarachukwu Enahoro, Olukemi Osunlaja, and Arinze Emmanuel Ajogwu. "A REVIEW OF CROSS-FUNCTIONAL COLLABORATIONS IN ENHANCING HEALTHCARE DELIVERY IN NIGERIA." JOURNAL OF HEALTHCARE IN DEVELOPING COUNTRIES 3, no. 1 (2023): 33–41. http://dx.doi.org/10.26480/jhcdc.01.2023.33.41.
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This study aimed to explore the dynamics and implications of cross-functional collaborations in Nigeria’s healthcare sector, particularly in the context of global health crises and the unique challenges faced by the nation. Utilizing a systematic approach, data were extracted from selected sources using a structured form, capturing study objectives, methodology, key findings, and implications specific to Nigeria’s healthcare landscape. The extracted data underwent thematic analysis, identifying patterns and themes that provide a nuanced understanding of healthcare collaborations in Nigeria. The findings underscore the transformative power of cross-functional collaborations, especially evident during the COVID-19 pandemic, where diverse disciplines converged towards a shared objective. The study also highlighted the critical role of patent and proprietary medicine vendors (PPMVs) in Nigeria’s healthcare provision, emphasizing the need for their continuous training and regulation. Collaborative initiatives, such as responses to disease outbreaks and the push for Universal Health Coverage (UHC), were identified as pivotal strategies to address the multifaceted challenges facing Nigeria’s health system. In conclusion, cross-functional collaborations in Nigeria’s healthcare sector present a promising avenue to address systemic challenges, drive innovation, and improve patient outcomes. Recommendations include strengthening regulatory frameworks, prioritizing technological integration, enhancing interdisciplinary training, and addressing systemic barriers to effective collaboration.
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Snyder, Eric, Thomas Rivers, Lisa Smith, et al. "From months to minutes: Creating Hyperion, a novel data management system expediting data insights for oncology research and patient care." PLOS Digital Health 1, no. 11 (2022): e0000036. http://dx.doi.org/10.1371/journal.pdig.0000036.
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Here we describe the design and implementation of a novel data management platform for an academic cancer center which meets the needs of multiple stakeholders. A small, cross-functional technical team identified key challenges to creating a broad data management and access software solution: lowering the technical skill floor, reducing cost, enhancing user autonomy, optimizing data governance, and reimagining technical team structures in academia. The Hyperion data management platform was designed to meet these challenges in addition to usual considerations of data quality, security, access, stability, and scalability. Implemented between May 2019 and December 2020 at the Wilmot Cancer Institute, Hyperion includes a sophisticated custom validation and interface engine to process data from multiple sources, storing it in a database. Graphical user interfaces and custom wizards permit users to directly interact with data across operational, clinical, research, and administrative contexts. The use of multi-threaded processing, open-source programming languages, and automated system tasks (normally requiring technical expertise) minimizes costs. An integrated ticketing system and active stakeholder committee support data governance and project management. A co-directed, cross-functional team with flattened hierarchy and integration of industry software management practices enhances problem solving and responsiveness to user needs. Access to validated, organized, and current data is critical to the functioning of multiple domains in medicine. Although there are downsides to developing in-house customized software, we describe a successful implementation of custom data management software in an academic cancer center.
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Willis, Geoff, Stefan E. Genchev, and Haozhe Chen. "Supply chain learning, integration, and flexibility performance: an empirical study in India." International Journal of Logistics Management 27, no. 3 (2016): 755–69. http://dx.doi.org/10.1108/ijlm-03-2014-0042.
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Purpose Supply chain flexibility has been acknowledged as a necessity in the context of constantly changing operational and service requirements in the global marketplace. However, limited research has focused on analyzing and empirically testing the dynamics of achieving enhanced flexibility performance. Drawing upon the knowledge-based view of the firm, the purpose of this paper is to address this research gap by introducing supply chain learning (SCL) and integration as key factors in the process. Design/methodology/approach Survey data were collected in India. Structural equation modeling technique was used as the main analysis method to test the proposed conceptual model on SCL, integration, and flexibility performance. Findings Research findings indicate that the supply chain integration construct (in its internal and external dimensions) mediates the proposed SCL-flexibility performance relationship. The analysis also confirms the positive relationship between cross-functional integration and inter-firm integration. Research limitations/implications Focusing on only one country may limit the generalizability of the findings. Also, cross-sectional data collection may not be the ideal approach for evaluating the impacts of SCL. Therefore, future research with longitudinal data and in different contexts is warranted to validate the research results of this study. Originality/value The proposed conceptual model adds to the limited existing knowledge body of SCL and links SCL, integration, and flexibility performance. It also provides a new venue for future research in this area.