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The specific challenges which small and medium‐sized enterprises (SMEs) face lead to a special knowledge management system with harmonised methods and supporting software tools. This paper seeks to address this issue.

A theoretical framework is proposed as a layer concept to describe the special situation of knowledge management in SMEs. Based on this framework empirical studies were conducted in German‐speaking countries to find out the relevant methods and tools supporting knowledge management in SMEs.

The outcome of the empirical study describes methods of knowledge management supporting the four key knowledge processes in SMEs, i.e. knowledge identification, knowledge acquisition, knowledge distribution and knowledge preservation. The results are explained in the developed “TechnicalSocialSocialTechnical Model” (TSST Model), which is a balanced system for technical and social knowledge applications.

The empirical study presented provides a model for knowledge management support in SMEs in German‐speaking countries. Further research will expand the empirical data on an international focus.

The developed TSST Model is currently used for the implementation of knowledge management systems in Austrian SMEs. The developed TSST Model functions as a decision support framework for SMEs to select technical and social knowledge methods according to the corresponding knowledge processes.

The purpose of this paper is to present the main barriers, practices, methods and knowledge management tools in startups that are characterized as agile organizations with dynamic capabilities to meet the demands of a business environment of high volatility, uncertainties, complexity and ambiguity.

The conceptual basis of the research focused on the triad: agile organization, dynamic capabilities and knowledge management. Field research began by interviewing experts to identify the barriers, practices, methods and knowledge management tools in startups. Based on the theoretical review, on the desk research and on the result of interviews with experts, a quantitative research was carried out with the leading startups coworking of São Paulo city. The obtained data made it possible to develop descriptive analyses and run linear regressions and cluster analysis for exploratory research.

Startups with higher maturity in innovation level, solution development level, and scalability development level, present a higher degree of utilization of the practices, methods and tools dedicated to knowledge management.

It is expected that results of the research presented in detail will be able to illustrate concrete examples of practices, methods, and knowledge management tools for large established companies seeking the organizational agility of startups.

This study contributes to the identification of barriers, practices, methods and tools of management of knowledge in startups, through the conceptual triad: agile organization, dynamic capabilities and knowledge management.

With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to develop a new information management method to cope with the risk problems involved in dealing with such data, based on domain ontologies of the construction industry, to help manage PPP risks, share and reuse risk knowledge.

Risk knowledge concepts are acquired and summarized through PPP failure cases and an extensive literature review to establish a domain framework for risk knowledge using ontology technology to help manage PPP risks.

The results indicate that the risk ontology is capable of capturing key concepts and relationships involved in managing PPP risks and can be used to facilitate knowledge reuse and storage beneficial to risk management.

The classes in the risk knowledge ontology model constructed in this research do not yet cover all the information in PPP project risks and need to be further extended. Moreover, only the framework and basic methods needed are developed, while the construction of a working ontology model and the relationship between implicit and explicit knowledge is a complicated process that requires repeated modifications and evaluations before it can be implemented.

The ontology provides a basis for turning PPP risk information into risk knowledge to allow the effective sharing and communication of project risks between different project stakeholders. It can also have the potential to help reduce the dependence on subjectivity by mining, using and storing tacit knowledge in the risk management process.

The apparent suitability of the nine classes of PPP risk knowledge (project model, risk type, risk occurrence stage, risk source, risk consequence, risk likelihood, risk carrier, risk management measures and risk case) is identified, and the proposed construction method and steps for a complete domain ontology for PPP risk management are unique. A combination of criteria- and task-based evaluations is also developed for assessing the PPP risk ontology for the first time.

The aim of this paper is to develop, test and improve a method that draws upon business process improvement literature and combines it with knowledge management approaches for modeling and analyzing knowledge‐intensive business processes.

Analyzing and integrating previous meta models served in knowledge oriented business process researches, a preliminary meta model was developed for modeling knowledge‐intensive business processes. Then an initial version of Proper Arrangement of Knowledge Management Processes (PAKMP) framework was developed according to the knowledge management processes approaches. Third round of interviews with process 137 members were conducted in order to test applicability and completeness of both preliminary meta model and initial version of PAKMP framework in order to improve them. In addition, a five‐steps analysis method achieved through case study which is based on the application of both final Meta model and PAKMP framework. In fact this five‐steps method was applied in Tehran's Municipality which redounded to improve preliminary meta model and initial version of PAKMP framework and endorsed the applicability of the proposed method in real world.

This paper has a contribution in enriching the literature related to integrating KM efforts and BPM efforts by presenting a five‐steps analysis method and testing it in a real case. This method considers both KM and business process management points of view.

The general applicability of the method due to the weak generalization of the single case study is a limitation.

This paper combines the advantages of the business process improvement and knowledge management approaches and suggests a practical method for modeling and analyzing the knowledge management status in knowledge‐intensive business processes. After analysis, managers should put emphasis on improving the arrangement of KM processes for critical knowledge objects which led to improve the performance of knowledge‐intensive business process trough removing KM problems. The paper concludes by suggesting some topics for future research.

Although there are some studies about knowledge management at national level, no integrated attempts have been reported in the direction of introducing knowledge management pattern at national level based on real experiences. Numerous researches have been conducted in the domain of knowledge management at micro level. But at macro/national level, some concepts and components have been investigated briefly. The purpose of this paper is to deal with this gap.

This research uses the hybrid method. The technique of qualitative case study of grounded theory method has been selected in this research for gathering and analyzing data. Data have been categorized and analyzed from case studies (at countries level) using the steps of this method. The degree of correlation and causality and the importance of each concept existing in the pattern have been computed by applying decision-making trial and evaluation (dematel) technique. The obtained concepts and pattern could be applied as a guide for accepting and implementing knowledge management at national level.

Total positive findings have been obtained from case studies, and the authors attained 14 concepts and one pattern. These findings provide the steps of designing and are useful in implementing projects and programs of knowledge management at national level. The degree of correlation between the components of the pattern is the other finding of this study.

The obtained concepts and patterns can be used as a guide in countries and governments which decide to implement knowledge management at national level. These can be a basis for countries which are in the process of implementing the projects of knowledge management at national level.

This research is the first study that aims to provide the pattern of knowledge management at national level and can provide useful information for countries and governments and can be used as a reference to guide them for the implementation. So these countries will be able to design and implement their programs of knowledge management purposefully.

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.

The purpose of this paper is to propose a method for performance assessment of organizations based on integrated approach of knowledge management and safety management using data envelopment analysis, and the proposed model is then applied in the car industry in Isfahan province to be checked. Therefore, deficiencies can be highlighted and possible strategies can be evolved to improve the performance.

As data envelopment analysis is a robust mathematical tool, it has been used to evaluate organizational performance. For discovering the organizational performance of knowledge management and safety management by data envelopment analysis (DEA), the first step is to specify proper criteria. To this end, in this method, the indices in both approaches of knowledge management and safety management were identified. Then, inputs and outputs were specified. Knowledge management and safety management were determined as input indices, and customer satisfaction and accident indicators were the output indices. It is noteworthy that each output index was used one time. In the next stage, performance of organizations was assessed based on both determined approaches and via data envelopment analysis. Finally, the organizations were ranked.

The suggested method was implemented in the car industry in the Isfahan province. The obtained results disclosed that among 12 decision-making units, 4 units are efficient when customer satisfaction is the output and 5 units are efficient when accidents indices are the output. In ranking with customer satisfaction as the output, Sepahan Atlas Pump Company was ranked first via super efficiency method, data envelopment analysis and similarity to ideal solution. In ranking with accidents as the output, Sepahan Atlas Pump Company ranked first via strong efficiency method and Sanatgar Company ranked first via data envelopment analysis and similarity to ideal solution.

Knowledge has been recognized as one of the valuable resources, and knowledge management would greatly effect improvement of job quality. Knowledge level increase is led by better performance and less errors. Consequently, it can enhance the organizational health and safety. There are some studies which have been conducted on safety management or knowledge management performance analysis. The organizational performance evaluation based on integrated approach of knowledge management and safety management is an important issue which is less considered in theory and practice. Thus, the authors have proposed a method which is able to evaluate the organization based on this integrated approach with functional indices, which resulted in accurate results, and finally, ranking can show the organization status to determine proper strategies.

There has been increased interest in application of knowledge management (KM) in managerial issues as a way of demonstrating the field's value. There has also been an increasing focus on risk management (RM) in response to growing organisational awareness of corporate and social responsibilities. This paper seeks to contribute to the emergence of a new field of research – referred to as knowledge risk management (KRM), which applies KM tools and techniques to the management of organisational risk.

The approach takes the form of building on an empirical study of the Australian Department of Defence using case study methods.

The paper examines how conventional approaches to risk management based on decision tree methods are ineffective, and proposes and tests an alternative KRM model.

A limitation is that the paper is based on a single case study.

The model provides managers with a way to differentiate amongst risks and prioritise for action. Its main value is to reduce the cognitive bias inherent in traditional decision methods for risk assessment. The KRM model improves the accuracy of risk assessment by reducing subjectivity caused by cognitive bias.

The purpose of this paper is to provide organizations in the Chinese cultural context with a conceptual model for an integrated adoption of existing knowledge management (KM) methods and to improve the effectiveness of their KM activities.

A comparative analysis is conducted between China and the western world based on a comprehensive document analysis from key databases available. In total, four critical dimensions, which are identified through the review of the related literature including observation, methodology, systems and applications, are used in the analysis for addressing the questions of why, what, how, and where in KM.

The paper rationalizes the need for this study in conformity with the emerging trend of an integrated use of diverse KM methods and approaches for effective KM in organizations. Further, a reference model for the integrated adoption of existing KM methods is developed with respect to the characteristics of the Chinese culture for improving the effectiveness of KM activities in the organizations. Such a model can adequately address the questions of why, what, how, and where in KM in Chinese organizations to the best of Chinese collective interest, which provides more comprehensive and unified KM views, activities, processes and technologies for collaborative innovation in Chinese organizations.

This paper is the first of its kind to systematically review existing KM methods and approaches with respect to the perspectives of observations, methodologies, systems and applications for effective KM in Chinese organizations.