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The purpose of this paper is to encourage the integration of Lean principles with reliability models to sustain Lean efforts on a long‐term basis. It seeks to present a modified FMEA that will allow Lean practitioners to understand and improve the reliability of Lean systems. The modified FMEA approach is developed based on the four critical resources required to sustain Lean systems: personnel, equipment, materials, and schedules.

A three‐phased methodology approach is presented to enhance the reliability of Lean systems. The first phase compares actual business and operational conditions with conditions assumed in Lean implementation. The second phase maps potential deviations of business and operational conditions to their root cause. The third phase utilizes a modified Failure Mode and Effects Analysis (FMEA) to prioritize issues that the organization must address.

A literature search shows that practical methodologies to improve the reliability of Lean systems are non‐existent.

The knowledge database involves many tedious calculations and hence needs to be automated.

The paper has defined Lean system reliability, developed a conceptual model to enhance the Lean system reliability, developed a knowledge base in the form of detailed hierarchical root trees for the four critical resources that support our Lean system reliability, developed a Risk Assessment Value (RAV) based on the concept of effectiveness of detection using Lean controls when Lean designer implements Lean change, developed modified FMEA for the four critical resources.

This study aims to highlight the fundamental elements about the potential knowledge ecosystems underlying the crowdfunding environment, providing a tentative analysis of the state of the art and suggesting a possible research agenda.

Based on a sample of 51 papers retrieved from the Web of Science (WOS) database, the investigation, implementing a bibliometric literature review (BLR), has examined the main metadata of the scientific literature that includes studies about crowdfunding and knowledge ecosystems.

The main research areas in the field, in terms of occurrence network analysis, seem to affect three main clusters (entrepreneurial ecosystems, business ecosystems and service ecosystems), being the role of knowledge (and consequent knowledge management) relevant mostly in regard to entrepreneurial ecosystems.

The research is intended to shed light on the potential connections, relationships and interactions between crowdfunding and the knowledge ecosystems that may emerge in the dynamics involving crowdfunding platforms, projects and operators, emphasizing the contribution of knowledge management in this respect.