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This paper aims to examine the relationship between intra-organizational knowledge hiding (I-OKH) and turnover intention via the mediating role of organizational embeddedness.

A model was developed and tested with data collected from 276 knowledge workers from the Islamic Republic of Iran Broadcasting (IRIB) using Smart PLS3 to test the hypotheses.

Results show that organizational embeddedness mediates the relationship between intra-organizational knowledge hiding and turnover intention because intra-organizational knowledge hiding relates negatively to organizational embeddedness, which, in turn, has a negative effect on turnover intentions.

This study can be beneficial for organizations that employ knowledge workers. The management should pay attention to the existence and consequences of intra-organizational knowledge hiding to control one of the causing factors of weakened organizational embeddedness, which, in turn, increases employee turnover intentions.

This study is the first attempt to analyze knowledge hiding from a third-person point of view. Moreover, this is the first to examine the mediating role of organizational embeddedness in the relationship between intra-organizational knowledge hiding and employee turnover intentions, enriched by employing the data from the knowledge workers beyond the Anglo-American-European world.

Selection of knowledge management strategies (KMS) is one of the most important and effective factors in acquiring the competitive advantage and elevating the knowledge level of the organizations. Those organizations that have taken steps toward knowledge management necessarily need to pay utmost attention to the matter of KMS before taking any further steps in their activities. One of the effective ways in adopting the proper KMS is evaluating the knowledge management maturity level in the organization. The purpose of this paper is to design an expert fuzzy system to adopt the KMS based on Bloodgood model in accordance with the maturity level of the organization.

In this method, with the help of expert fuzzy system, a model has been designed, by using MATLAB software, to adopt the KMS. The KM maturity level, tacit knowledge and explicit knowledge are chosen as inputs, and each one of Bloodgood’s KMS (production, transfer and protecting the knowledge) are chosen as outputs. To perform the system, the maturity level of knowledge management of an industrial organization that has been evaluated by the standard Asian Productivity Organization questionnaire is used as the input, which has been given to expert fuzzy system. Then, considering the output of the system, KMS for the organization have been recommended.

Knowledge management maturity level of the organization is on Level 4; considering the expert fuzzy system that has been designed, “knowledge production” strategy is recommended for the organization under study.

An expert fuzzy system has been designed regarding the maturity of knowledge management and Bloodgood model that can be used as a guide for organizations and academic people as an appropriate practical model for selecting knowledge management strategies.

Due to importance of knowledge management (KM) strategies in successful implementation of KM processes and saving time and expense, selection of suitable KM strategies has been changed to be a major concern by many organizations. Therefore, this is necessary for organizations to move along KM processes in selection and establishment of their strategies at their first step. An influential factor in selection of KM strategies is measurement and identification of an organization’s condition of its knowledge maturity. Accordingly, this paper aims to select and prioritize KM strategies as proportionate with an organization’s level of maturity.

For that, the author-constructed questionnaire was designated based on the opinions made by experts acquainted with KM and KM strategies. According to experts’ opinions, the paradigm for suggestion of strategies was elucidated based on KM’s level of maturity. Afterwards, the standard questionnaire knowledge navigator model was used to evaluate the organization’s level of maturity, and KM strategies for the organization were proposed based on identified level of maturity. Finally, proposed KM strategies were ranked using the fuzzy TOPSIS technique.

In this study, a paradigm for selection of suitable KM strategies was proposed based on Hansen KM strategy as per maturity level of the organization’s KM. Then, knowledge conditions of a research organization were evaluated, and, after maturity level of that organization’s KM was assessed, different criteria of Hansen KM strategy were suggested for each level independently. Research results are indicative of the fact that the intended organization is placed at the second level of KM maturity. Therefore, personalization strategies are proposed for this organization based on the elucidated paradigm. Moreover, development of work communities and development of face-to-face interactions among staff through continuous meetings were chosen as the most significant KM strategies in this organization.

This paper is one of the leading studies carried out in the purview of codification of KM strategies according to different organizations’ level of maturity. Results of this study might be used as guidelines by different organizations, academic people and experts intending to codify KM strategies.

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.

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.

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.

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.

This study aimed to examine the impact of ICT and digital knowledge on students’ thoughts and beliefs. Using Information and Communication Technology (ICT) in learning and teaching processes can improve the interpretation of knowledge, not only in the learning process but also for thoughts and beliefs. Beliefs and thoughts as propositional content are understood to be a subjective manner of knowing and becoming a focal point of education process. In addition, ICT plays a vital role in enhancing the efficiency of the teaching process which can change the thoughts of learners. So, in this paper, the usage of ICT in education was considered as a key factor for improving students’ thoughts and beliefs. In addition, a conceptual model was proposed to evaluate this impact.

Data were collected from 384 students from secondary schools in Iran. For assessing the elements of the model, a complete questionnaire was designed. For statistical analysis of questionnaires, SPSS 22 and SMART-PLS 3.2 software package was used.

The obtained results showed the high strength of the proposed model. The outcomes indicated that digital technology acceptance positively affects students’ thoughts and beliefs. In addition, the findings showed that the role of digital knowledge, digital training facilities and digital education content on students’ thoughts and beliefs was significant.

The authors deal with one experiment and so the results cannot be generalized. The trail should be repeated with many groups and in diverse contexts.

Despite the importance of the investigating the impact of ICT and digital knowledge on the students’ thoughts and beliefs, the relationship among these factors was not examined well in previous research. Thus, the investigation of the impact of ICT and digital knowledge on the students’ thoughts and beliefs is the main originality of this research. For this goal, a new conceptual model is proposed, which has 11 sub-indicators within four variables: digital technology acceptance, digital knowledge, digital training facilities and digital education content.