This study provides an overview of the knowledge management literature from 1980 through 2014. We employ bibliometric and text mining analyses on a sample of 500 most cited articles to examine the impact of factors such as number of authors, references, pages, and keywords on the number of citations that they received. We also investigate major trends in knowledge management literature including the contribution of different countries, variations across publication years, and identifying active research areas and major journal outlets. Our study serves as a resource for future studies by shedding light on how trends in knowledge management research have evolved over time and demonstrating the characteristics of the most cited articles in this literature. Specifically, our results reveal that the most cited articles are from United States and United Kingdom. The most prolific year in terms of the number of published articles is 2009 and in terms of the number of citations is 2012. We also found a positive relationship between the number of publications’ keywords, references, and pages and the number of citations that they have received. Finally, the Journal of Knowledge Management has the largest share in publishing the most cited articles in this field.

Purpose: To date, critical success factors for design and implementing knowledge management (KM) system in a multi‐case study research have not been systematically investigated. Most of existing studies have derived their critical success factors from single company perspectives and have not considered all factors in an integrated way in a multi case study research. This paper is aimed to bridge this gap.Design/methodology/approach: A qualitative case study technique has been used in this paper for data collection to gain insights into the topic being investigated. For that, “grounded theory” research approach has been selected by which the collected data from real case studies (successful organizations in KM adoption) are categorized and analyzed through specific stages. The extracted concepts can demonstrate critical success factors of KM system within organizations.Findings: The overall results from the real case studies were positive, thus reflecting the appropriateness of the proposed critical success factors. Also 16 concepts and a conceptual framework are the other findings of this research that clarify how to design and implement a KM system in an organization. The conceptual framework presents a roadmap for success of KM programs in the organizations.Practical implications: The set of critical success factors can act as a list of items for organizations to address when adopting KM. This helps to ensure that the essential issues and factors are covered during design and implementation phase. For academics, it provides a common language for them to discuss and study the factors crucial for the success of KM program in an organization.Originality/value: This study is probably the first to provide an integrated perspective of critical success factors for implementing KM through a multi case study research. It gives valuable information and guidelines which hopefully will help the leaders to accomplish KM through their organizations in an effective way.

Purpose: – The purpose of this paper is to examine the influence of socio-psychological factors from different theoretical perspectives, as well as the roles of technological and cultural facilitators on knowledge sharing (KS) behaviors and whether it leads to superior employees’ innovative work behaviors.Design/methodology/approach: – Partial least squares analysis was used to investigate the research model based on a survey of 257 employees from 22 high-tech companies (including companies in pharmaceutical, nano technological, biotechnological, aviation, and aerospace industries) in Iran.Findings: – The results supported the effects of three motivational factors, i.e. perceived loss of knowledge power, perceived reputation enhancement, and perceived enjoyment in helping others, and two social capital factors, i.e. social interaction ties and trust, on employees’ attitude toward KS. Findings also indicated that employees’ KS behaviors enhance their innovative work behaviors.Research limitations/implications: – Since the survey used cross-sectional data and samples here were limited to some Iranian companies, the results of this study may prove not to be generalizable and should be confirmed using larger samples and/or longitudinal studies.Practical implications: – The findings provide useful insights into how managers should encourage employees’ KS attitudes, intentions, and behaviors to foster innovative work behaviors of employees.Originality/value: – This study is one of the first attempts to fill the void in integrative research for examining relationships among KS determinants, behaviors, and outcomes.

Purpose: Sharing knowledge with business partners is a challenging issue as firms need to share their valuable know-how assets with individuals or other companies out of their organizational boundaries. As supply chain management (SCM) deals with various stakeholders, firms face difficulties with privacy and ownership when they share their know-how with suppliers or business partners. This study introduces blockchain technology as a mediator in improving knowledge sharing (KS) practices in supply chains.Design/methodology/approach: The data have been collected from surveys with 116 experts working in blockchain start-ups and organizations, and the authors used structural equation modeling for its analysis.Findings: The results show that two features of blockchain technology, namely transparency and security, have the highest impacts on mediating knowledge sharing impacts on supply chain performance. The authors’ findings also highlight that among the performance metrics of SCM, speed is highly improved when blockchain technology is used for knowledge sharing. Their study provides guidance for managers on how to improve SCM performance through KS, which is empowered by a blockchain system.Originality/value: The authors’ findings help organizations to improve supply chain actions, improve innovation, enhance competitive advantage and increase the speed of relationships in the supply chain. The research also contributes literature by analyzing the key factors showing how knowledge sharing structure may be improved by blockchain technology which would be helpful for both academics and practitioners.