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The purpose of this paper is to conduct a survey on the knowledge for supplier correlation with their capabilities and willingness as segmentation criteria. There are many contexts for sharing knowledge. What are more beneficial contexts?

After developing the research hypothesis, a structured questionnaire was adopted to gather primary data from suppliers. The draft questionnaire was sent to five academic and industry experts to comment on the content. Received feedback was used to change the layout of the questionnaire. Instead of the traditional partial least squares, the state-of- art consistent partial least square technique was put into practice.

By definition, knowledge for supplier has a large impact on supplier capabilities. The Important-Performance Matrix Analysis (IPMA) prioritizes the indicators and suggests to focus on knowledge sharing about manufacturing processes, development expertise and marketing expertise. Results showed that supplier willingness for sharing confidential knowledge and longtime relationship depends on development programs.

Having a communication mechanism for each of the partnerships’ specific contexts was suggested to maximize the knowledge flow.

For maximizing the knowledge flow and studying the effect on the segmentation criteria such as capability and willingness, the main contribution of the paper is to survey the supplier knowledge in depth. The IPMA was implemented to highlight the indicators.

Expert systems have come to the forefront in the modeling of problems. One of the major problems facing the expert system designers is to develop an accurate knowledge base and a meaningful model of uncertainty associated with complex models. Decision-making is based on knowledge, and decision system support needs a knowledge base as well. An adequate knowledge acquisition (KA) process leads to accurate knowledge and improves the decision-making process. To manage the risk of a medical service (twin pregnancy in this case) a knowledge management system was created. The captured knowledge may be associated with an uncertainty. This study aims to introduce a method for evaluating the reliability of a tacit KA model. It assisted engineering managers in assessing and prioritizing risks. The study tried to use this method in risk management and new case in the health domain.

In this study, relevant variables were identified in the knowledge management literature reviews and the domain of expertise management. They are validated by a group of domain experts. Kendall’s W indicator was used to assess the degree of consensus. On the basis of combined cognitive maps, a cognitive network was constructed. Using Bayesian belief networks and fuzzy cognitive maps, an uncertainty assessment method of tacit KA was introduced. To help managers focus on major variables, a sensitivity analysis was conducted. Reliability of model was calculated for optimistic and pessimistic values. The applicability and efficacy of the proposed method were verified and validated with data from a medical university.

Results show that tacit KA uncertainty can be defined by independent variables, including environmental factors, personality and acquisition process factors. The reliability value shows the accuracy of the captured knowledge and the effectiveness of the acquisition process. The proposed uncertainty assessment method provides the reliability value of the acquisition model for knowledge engineers, so it can be used to implement the project and prevent failures in vital factors through necessary actions. If there is not a satisficed level of reliability, the KA project reliability can be improved by risk factors. The sensitivity analysis can help to select proper factors based on the resources. This approach mitigated some of the disadvantages of other risk evaluation methods.

The contribution of this study is to combine the uncertainty assessment with tacit KA based on fuzzy cognitive maps and the Bayesian belief networks approach. This approach used the capabilities of both narrative and computational approaches.

The purpose of this paper is to determine and prioritize man-made threats that have the probability of occurring in civilian airports, as an important part of critical infrastructures in each country.

The paper is practical-developmental in terms of research type and its approach is descriptive. Desktop research methods and interviews (qualitative) have been used in identifying deliberate man-made threats that are faced by the civilian airports. Moreover, a questionnaire (quantitative) has been utilized to assess the civilian airports’ assets that are targets likely to be threatened and assess threats by determining and prioritizing.

The results of the paper show that the main threat faced by civilian airports is “Air and missile strikes.” An additional 15 threats endangering civilian airports that have been extracted and presented through integrating specialized literature were prioritized in the main components of civilian airports. This prioritization has been performed on the basis of the following five indicators: “Damage Severity,” “Threat Precedent,” “Target Attractiveness,” “Negative Consequences for the Enemy” and “Enemy Ability.”

This paper is extracted from master’s thesis that identifies and assesses the threats to civil airport, and prioritizes them, and the results were confirmed by the experts.

The main purpose of this study is to explore knowledge management and learning features in some Iranian small and medium‐sized enterprises.

A questionnaire was designed, applied and then analyzed using statistical methods. The results discuss various perspectives from the knowledge management point of view, and provide some important findings and a regression model to show the essential issues of the subject.

The learning factor was assumed as a dependent variable to carry out regression analysis with four factors: training; interactive participation of employees; flat structures in SMEs; and CEO support and commitment. The statistical analysis determined the four factors as important issues in the regression model. The results also showed that there is no relationship between organizational size and the need for knowledge management.

Most SMEs in Iran are still traditional. Their school of thought belongs to the industrial age and their efforts are not aligned to the knowledge era's requirements. Today's changes dictate a new model of thinking as a basic requirement. SMEs in Iran have to restructure their way of thinking towards a knowledge‐based paradigm for competitiveness and survival.

This study is probably the first to provide an integrated perspective of exploring knowledge management through Iranian SMEs. It gives valuable information and guidelines that hopefully will help SME leaders in decision making in the KM area.

The purpose of this paper is to examine the relationship between knowledge management (KM) processes and supply chain performance, with information technology/information system (IT/IS) support, supply chain integration, and supply chain strategy as moderators.

Drawing on the knowledge-based view, a theoretical framework is developed consisting of six KM processes: knowledge creation, knowledge capture, knowledge organization, knowledge storage, knowledge dissemination, and knowledge application, and the performance of supply chain is evaluated in terms of four Supply Chain Operations Reference (SCOR) process elements: Plan, Source, Make, and Delivery. Structural equation modeling is employed using a sample of 78 Iranian manufacturers in mechanical and engineering industry.

Empirical results show that KM processes have a significant impact on supply chain performance which is positively moderated by IT/IS support and supply chain integration. While the moderating effect of IT/IS support is found to be considerably stronger, the relationship between KM processes and supply chain performance is not significantly different in lean and agile supply chains.

Since the sample for this study is small and drawn only from manufacturing companies in mechanical and engineering industry, it would be important to conduct further empirical studies with larger samples from a wider range of industries to improve and strengthen our analyses and provide more conclusive and generalizable results.

Through empirical study, a better understanding of the impact of KM processes on supply chain performance and the moderating role of IT/IS support and supply chain integration can be gained.

The purpose of this paper is to examine the status of knowledge management (KM) in selected Iranian academic research centers (IARCs) in order to identify the most relevant KM critical success factors adopted by those centers that include physics, chemical, drug, aerospace, nanotechnology, mechanic, aviation, and biotechnology research centers.

Based on extensive review of KM literature, broad ranges of general KM critical success factors are identified. Then, through field studies, the degree of the relevance of each particular KM success factor is determined. The research procedure finally led to the identification of KM critical success factors prevailing in IARCs.

Five distinct KM factors including 16 different elements are found to be relevant and critical in the course of KM implementation in IARCs. These factors are “human resource management and flexible structures,” “KM architecture and readiness,” “knowledge storage,” “benchmarking,” and “chief knowledge officer.”

The extracted factors can act as a guideline for KM preliminary phases in organizations. This helps to ensure that the essential issues are covered during the design and implementation phase of a KM program. For academics, it may provide a common language for discussion and study of the factors crucial for KM.

The paper should be of value to researchers of KM in general, and to implementers of KM programs. It presents a range of issues critical to the adoption of KM initiatives.

The purpose of this paper is to examine the impact of three specific variables, namely: system quality, information quality, and finally information use, on the effectiveness of a human resource information system (IS) in an Iranian oil company.

To investigate the effectiveness of a human resource IS, the paper analyzes the end‐user satisfaction based on the DeLone and McLean IS effectiveness model. A methodology is developed that follows a series of steps to calculate the effectiveness of an IS. The questionnaire is designed and refined by expert review. Data from four surveys in four different organizations in the Iranian oil industry are pooled.

Results show that user satisfaction from information quality, system quality, and system use is, respectively, 0.92, 0.82, and 0.91.Therefore, the integrated human resource system in the Iranian oil company has a high degree of effectiveness. Implications of these findings are discussed along with some directions for future research.

The model proposed in this study is applicable to a human resource environment. Modification of the proposed model may be needed in applying this model to other environments.

This study helps information technology managers identify the elements which impact on end‐user satisfaction and assists them in planning to enhance the effectiveness of ISs by improving end‐user satisfaction.

The results extend the understanding of the role of end‐user satisfaction in IS effectiveness. The research findings have implications for the development and deployment of IS.

The purpose of this study is to investigate the moderating role of knowledge management (KM) strategies in developing the effect of intellectual capital (IC) on innovation for small- and medium-sized enterprises (SMEs). Specifically, the current study explores how different interactions between IC and KM strategies lead to more powerful innovation in SMEs.

This study analyzes survey responses from 170 owners/managers of SMEs in Iran. The study uses partial least square structural equation modeling methods within Smart PLS software.

This study reveals that first IC has an excellent level of engagement with both incremental and radical types of innovation, but its engagement level with radical innovation is higher than that for incremental innovation. Second, the human capital component of IC has a direct positive impact on radical innovation although it has no significant impact on incremental innovation. Third, the personalization strategy of KM positively moderates the impact of human capital on both incremental and radical innovation.

This paper is an empirical attempt in SMEs to combine IC and KM strategies to strengthen innovation. It presents research community for SMEs of a developing country that has been investigated in a limited way compared to large firms of developed nations and provides valuable insights into further research.