Gongcheng Kexue Yu Jishu/Advanced Engineering Science

Scaling marketing organizations in business-to-business (B2B) environments requires a systematic integration of strategic, structural, and technological capabilities. This study investigates the enterprise growth strategies that enable scalable marketing performance across mid-sized and large B2B firms. Adopting a multi-method research design, the study integrates survey data from 162 firms, execu...

Modern distributed systems generate log data at volumes exceeding one billion entries per day, creating a critical bottleneck for root cause analysis (RCA). Existing log search systems operated in a stateless query-response model — each query executed independently without retaining prior context — forcing engineers to manually carry diagnostic state across repeated full-dataset scans. This approa...

Global payment platforms have grown into extraordinarily complex financial ecosystems, ones that touch dozens of legal entities, hundreds of currency pairs, and numerous regulatory perimeters, often within the lifecycle of a single transaction. This technical review examines how multi-entity ledger architectures can be designed to meet that complexity, with particular focus on customer liability m...

The architecture of payment systems blends and overlaps with the architecture of distributed systems‚ fintech‚ cybersecurity‚ and financial regulation to address the architectural challenges of modern digital payment systems? Today's mission-critical financial systems are expected to be able to provide high throughput capacity, low latency, and guaranteed continuous availability while also support...

Enterprise resource planning (ERP) transformation programmes generate exponential scenario complexity that conventional testing approaches are structurally unable to handle. As organisations migrate to cloud-native ERP platforms and connect diverse upstream source systems, the number of valid transaction combinations routinely exceeds the capacity of manual, rule-based, and module-focused automati...

The manufacturing sector stands at a critical inflection point as artificial intelligence (AI) technologies reshape how production systems operate, decisions are made, and workers perform their roles. A persistent and counterproductive narrative frames AI as a replacement for human labor in manufacturing—generating workforce resistance, impeding adoption, and obscuring the empirically demonstrated...

The persistence of complexity, distributed ownership, and continuing architectural reorganization in the contemporary digital platform ecology suggest that previous models for program execution based on centralization and pre-ordained assumptions represent misaligned and structurally inadequate models. Emergent coordination represents a more empirically grounded and structurally elegant alternativ...

In complex organizations‚ for several decades‚ the predictive accuracy of forecasting models has been considered more important than their causal validity? This has created a structural mismatch between the output of these forecasts and the information needed by decision-makers to take actions to achieve their objectives? Econometric modeling bridges this disconnect by providing a rigorous and tra...

The United States faces a documented and accelerating gap between transmission infrastructure demand and domestic manufacturing capacity. Against this backdrop, SI Utility was established as a purpose-built, next-generation manufacturing platform for steel transmission poles and substation structures, targeting the Permian Basin load zone — one of the fastest-growing electricity demand regions in ...

Modernizing credit and lending technology infrastructure is a major engineering problem in the financial services technology sector? Large, monolithic systems, based on mainframe computers, cannot meet the scalability, deployment agility, and integration challenges of computer software-based, digital-only bank infrastructures. The use of microservices architecture has since become the dominant met...