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Partners' knowledge is an essential source of knowledge for organizations in the collaborative innovation. Exploratory innovation is an innovation strategy that is significant to the organization and is characterized by learning and absorbing new knowledge for new products and technology. The purpose of this study is to investigate the impact of partners' knowledge utilization on exploratory innovation and to analyze further the moderating effect of previous competitive and collaborative relationships between organizations on the above relationships.

In this study, the patent data of 1,636 organizations in the nano-biopharmaceutical field collaboratively from 1998 to 2020 are used as a sample. The knowledge networks and collaboration networks are constructed through the patent data. A negative binomial regression method is used to conduct the empirical study.

The results indicate that partners' knowledge utilization has an inverted U-shaped effect on exploratory innovation. The competitive relationship steepens the inverted U-shape effect of partners' knowledge utilization on exploratory innovation and makes the turning point to the left. The collaborative relationship steepens the inverted U-shape effect of partners' knowledge utilization on exploratory innovation and makes the turning point to the right.

This study is the first to examine the impact of partners' knowledge utilization on exploratory innovation and to explore the role of the competitive and collaborative relationships between organizations. It extends current research in organizational innovation and knowledge management by providing insight into partners' knowledge utilization.

The purpose of this paper is to analyze the detailed content and research framework of a knowledge management audit, from the view of operation flow based on a cognition summary of knowledge management audit proposed by many scholars and organizations, in order to put forward some references for effective implementation of an organization knowledge management project.

The paper carries out a multi‐perspective analysis of the cognition of knowledge management audit summarizes the similarities and differences between the different viewpoints, also a contrasting analysis on the method proposed by various scholars and organizations from the point of view of flow, and then constructs the conceptive framework of knowledge management audit.

Knowledge management audit is the first important step in a knowledge management project and includes four phases: preparation, analysis, implementation, and summary. Its primary content involves knowledge management environment audit, knowledge property audit, knowledge management ability audit and knowledge management performance audit, and its main modules consist of knowledge demand analysis, knowledge inventory analysis, knowledge map and knowledge flow analysis.

The paper provides a theoretical construction, but has not conducted a case study. In future research development, the framework of the paper will be improved through the case analysis of organization knowledge management practice.

By utilizing the research framework and method of the paper, an organization may understand rapidly the basic content of a knowledge management audit, implement an effective knowledge management audit to help improve organization (including non‐profit organization) performance and implement a knowledge management strategy.

The paper provides a framework for implementing a knowledge management audit.

There are many challenges in the development of a digital library (DL) and their complexity can be approached effectively with a maturity model. In a maturity model, the features of a phenomenon are divided into different levels and at each level, they are first improved before going on to the improvement or realization of the next level. The purpose of this study is to design a digital library maturity model (DLMM) in Iran.

The DLMM was designed using a qualitative approach, meta-synthesis and the Delphi technique. First, the maturity features of a DL were identified by assessing 68 sources of study concerning DLs and maturity models using meta-synthesis. The maturity features were then validated by experts using the three-round Delphi technique. Finally, the experts were asked to categorize these features into the five levels of the capability maturity model (CMM) as the base model.

By analyzing these sources, three categories, seven concepts and 35 codes for the maturity features of a DL were identified. The majority of previous studies focused on the use of hardware/software systems as the backup and empowerment of DLs and the concept of DL content. The maturity features were then validated by experts using the three-round Delphi technique. Like the base model, DLMM has five levels, and most features were categorized into the third and fourth levels by the experts. Features such as human resources, needs assessment of DL and readiness to create a DL were included in the second level.

This work adds the concept of the maturity model to the literature of DLs.