Identification and Prioritization of Knowledge Flow Barriers Based on Organizational Knowledge Management Cycle (OKMC)

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1 Identification and Prioritization of Knowledge Flow Barriers Based on Organizational Knowledge Management Cycle (OKMC) Hessam Zandhessami * Assistant Professor, Department of Industrial Management, Qazvin Islamic Azad University (QIAU), Qazvin, Iran [email protected] Maryam Haghighattalab Department of Management, Qazvin Islamic Azad University (QIAU A significant amount of work has been done to better understand the barriers to knowledge flow and models of knowledge management cycle; this was intended to help in assessing the progress of KM initiatives in the firm. Using organizational knowledge better and more effectively in an organized and well-managed way, along with its combination in the organization s culture would lead into a significant progress in organizations in terms of culture, social and economy. Although knowledge flow is invisible it works with any cooperative team, whether used it intentionally or not. It has been defined as a process of knowledge passing between people or knowledge processing mechanisms. The actors and tools of knowledge flow may become barriers if they are not handled properly. Temporal limitations, lack of staff motivation, and lack of incentives occur. In addition, lack of cross departmental cooperation, lack of absorptive capacity, hierarchical status, and physical distance are all obstacles to knowledge sharing. Therefore, recognizing the barriers of knowledge flow and efforts to remove them will lead into an easier knowledge flow trend. In this paper, through extracting recognized key barriers in resources, assimilation and localizing them in the country, we have tried to analyze their importance and occurrence probability based on knowledge management cycle including knowledge acquire, knowledge share, and knowledge application. Therefore one of the experts of municipality service organizations was used and experts judgment along with Multiple Attribute Decision Making techniques, especially TOPSIS techniques Algorithm, was used for the purpose of analysis. Finally, the most important barriers were found from the viewpoint of knowledge management and knowledge cycle steps. Keywords: Knowledge management, Knowledge flow, Knowledge flow barriers, Knowledge management cycle, TOPSIS. 535 هجله هديريت صنعتي دانشکده علوم انساني دانشگاه آزاد اسالهي واحد سنندج- سال نهن / ويژه ناهه هديريت دانش / پاييس 2931

2 The Effect of Customer Knowledge Management on the Willingness to Purchase on the Internet among the Students of Semnan University Morteza Maleki Min Bash Rezgah * Assistant Professor, Department of Economics, Management, Semnan University [email protected] Hossein Farsizadeh PhD student in International Marketing Management. Semnan University Hossein Baluochi PhD student in International Marketing Management, Semnan University Data envelopment analysis is the tool for computation in decision making units such as supply chain. Since the model of two-stage data envelopment analysis has more focused on supply chain processes in two levels; the evaluation in higher levels has been essential to obtain more accurate efficiency. This paper extends Wang & Chin (2010) model into three levels for evaluation the supply chain to show the importance of integration in the overall supply chain. The model is considered the extended two-stage DEA model of Koa and Hwang(2008) to variable returns to scale (VRS) assumption and the additive efficiency decomposition model of Chen (2009) generalized to taking into account the relative importance weights of two individual stages. The presented model is executed in numerical illustration and the results are analyzed in tables. Keywords: Data Envelopment Analysis (DEA), Two-stage, Supply Chain Management (SCM). 536 هجله هديريت صنعتي دانشکده علوم انساني دانشگاه آزاد اسالهي واحد سنندج- سال نهن / ويژه ناهه هديريت دانش / پاييس 2931

3 Evaluation of Knowledge Management Indices' Impact on Improving Competitiveness of Small & Medium Enterprises Hessam Zandhessami Assistant Professor, Department of Industrial Management, Islamic Azad University, Qazvin Branch, Qazvin, Iran (QIAU) Zeinab Ashtianipour * MA (Industrial Management), Young Researchers and elite Club, Qazvin Branch, Islamic Azad University, Qazvin,Iran [email protected] Nesa Poorkhalil MA (Industrial Management), Young Researchers and elite Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran Existing in this complex competition will be impossible without considering knowledge and managing it in the organizations. Considering the competitive environment in Iranian organizations and their distance from international competition standards, this paper evaluates knowledge management's impact on competitiveness of S&M enterprises. The purpose of this study is to discover the connection between knowledge management and competitiveness of organizations. After reviewing the literature in this field resources, Knowledge Management Indices categories in seven dimensions and then different aspects of competitiveness was extracted. Due to the limited number of experts who know Knowledge Management and competitiveness as well and are mastered on them, in this study, analyzing cause and effect s equation methods in terms of Multiple Attribute Decision-making are used to extract the rate of the effects. Results based on DEMATEL techniques Algorithm are analyzed and the rate of influencing and being influenced is evaluated. Based on research findings Knowledge Management have an effect on the Competitiveness of Small & Medium Enterprises, and team learning & sharing knowledge is determined as the most influential factor. Among the measures of the competitiveness profitability also scored the most points for the affected factors. Keywords: Knowledge Management, Competitiveness, DEMATEL. 537 هجله هديريت صنعتي دانشکده علوم انساني دانشگاه آزاد اسالهي واحد سنندج- سال نهن / ويژه ناهه هديريت دانش / پاييس 2931

4 Identification of Effective knowledge Sharing Tools in Different Stages of Vee Model for the Development of Complex Products and Systems (CoPS) Mohamad Reza Arasti School of Management and Economics at Sharif University of Technology Mohamad Hossein Sobhieh Tarbiat Modares University Hamid Hakamian * Tarbiat Modares University [email protected] Knowledge management has a key role in projects, it also has great significance in development of Complex Product and Systems (CoPS). All Organization needs CoPS in order to survive and develop. Hence it is needed to introduce the basic concepts of CoPS and identify models associated with development of CoPS and recognize their characteristics. In this article we propose to introduce these models and study knowledge roles and impacts on various stages of optimized model. Knowledge sharing tools are classified based on the evaluation of different stages of the model. Keywords: Knowledge Sharing, Complex Products and Systems (CoPS), Vee Model 538 هجله هديريت صنعتي دانشکده علوم انساني دانشگاه آزاد اسالهي واحد سنندج- سال نهن / ويژه ناهه هديريت دانش / پاييس 2931

5 واحد سنندج سال نهن /ويژه ناهه هديريت دانش /تابستان 2939 Knowledge Management in National Iranian Gas Export Company (NIGEC) Sasan Kazeminezhad NIGEC Member of Board and Planning & ICT Director Nowadays, the crucial role of knowledge in gaining competitive advantage leads the knowledge management to become a must in all organizations. Only if the appropriate infrastructure and prerequisites for the use of such a process is provided, the organizations tactical goals will be benefited of such advance. So that, using the two main tools of interview questions and questionnaire distribution, NIGEC preparation level of knowledge management implementation were assessed. Using relevant methods, validity and reliability of the research was confirmed. The most significant strengths and significant improvement in path of knowledge management implementation was identified. Therefor, the points of improvement and the relative strength points were determined. Finaly, the knowledge tree of the hierarchical structure of the organization knowledge was designed. Understanding of these features is helping to implement of knowledge management in this organization considering of its requirements. Consequently the main application of current research is recognition of the knowledge management strategy. Keywords: Knowledge Management, Culture, Structure, IT 539 هجله هديريت صنعتي دانشکده علوم انساني دانشگاه آزاد اسالهي واحد سنندج- سال نهن / ويژه ناهه هديريت دانش / پاييس 2931

6 Investigating the Effect of Dimension of the Knowledge Economy on the Output Growth in Iran Nina Mirani * M.A in Economics, Faculty of Economics, Management and Business University of Tabriz, Tabriz, Iran [email protected] Saman Shikhesmaeili PhD Student in Business Management, Member of Young Researchers Club, Islamic Azad University, Sanandaj Branch, Sanandaj, Iran Vala Mirani PhD Student in Business Management, Member of Young Researchers Club, Islamic Azad University, Sanandaj Branch, Sanandaj, Iran In today's competitive environment, productivity growth and stabilizing economic fluctuations is the main macroeconomic objectives of each country. Using knowledge-based economy or knowledge-based indicators as one of the most important demand management tool can fulfill this important role to play. Thus, depending on the structure, relationships and economic conditions prevalent in the country, the role of knowledge and knowledge management are important in influencing the production of empirical studies carried out and the results confirmed that. Because in the new theories of economic growth, knowledge is not as an exogenous variable (in the economy), but it is the key economic sector. Knowledge is considered as the main capital and economic growth is rooted in the accumulation of knowledge as a source of knowledge accumulation technology, innovation and entrepreneurship. Hence, with regard to the Iran`s economy examine the effects of knowledge economy on output growth can be important. The main objective of this study was to investigate the effect of knowledge economy on output growth in the economy model that base on conventional economic growth. In terms of method time series study using data from the annual economy during the period of which the data was extracted from central Bank, the Role of knowledge Based Economy indicators including education and human resources, information and communication technology, capital and trade openness on output growth using econometric models of cointegration was tested. Based on the research findings, ties assumed in the hypothesis of the study, including the positive impact of the knowledge economy and its GDP growth considering intervening variable if economic sanctions were accepted. Keywords: Knowledge based economy, the growth of productivity, Knowledge management, Cointegration. 541 هجله هديريت صنعتي دانشکده علوم انساني دانشگاه آزاد اسالهي واحد سنندج- سال نهن / ويژه ناهه هديريت دانش / پاييس 2931

7 Evaluation of Investment in Knowledge Management with Monte Carlo Fuzzy Simulation Method Mohammad Jafar Tarokh Faculty Member of Khajeh Nasir Toosi University of Technology (KNTU) Hossein Moinzad * PhD Student in Industrial Engineering, Faculty of Science and Research Islamic Azad University [email protected] : Knowledge Management System (KMS) is based on information technology (IT), which is created to support and improve creation, storage/restoring, transfer, and knowledge application processes. It can provide an organization with competitive advantages (staffs productivity improvement, better quality of the final product, production and labor cost saving). It can be an important tool in organizational process. Managers are familiar with such advantages; however, due to budget, uncertainties, or economic risk, they still hesitate about making decisions on KMS investment. Cost-benefit analysis of KMS investment is a necessary tool for evaluating attractiveness of KMS. Traditional cost-benefit analysis, which is always used in KMS and other investment evaluation of Enterprise Information System (EIS), gives value of money to all the non-monetary and largely intangible parameters. Therefore, these models strongly tend to tangible costs and benefits. The present article presents fuzzy rule-based system for relating tangible and intangible benefits for KMS investment. The fizzy part discusses intangible parameters. In addition, Monte Carlo Simulation Method is used for considering economic uncertainty in calculating the expected Net Present Value (NPV). Monte Carlo Simulation is an appropriate method for estimating important factors of KMS in financial outcome by randomization of value of each unclear variable and calculation of target value of investment model. This issue is considered by managers to evaluate whether KMS investment is feasible. Therefore, it is necessary to calculate cost and benefit of KMS investment accurately. Keywords: Knowledge Management System (KMS) Information Technology (IT) - Cost-Benefit Analysis - Monte Carlo Simulation - Net Present Value (NPV). 545 هجله هديريت صنعتي دانشکده علوم انساني دانشگاه آزاد اسالهي واحد سنندج- سال نهن / ويژه ناهه هديريت دانش / پاييس 2931

8 A Survey on the Relationship between Organizational cynicism with Knowledge Sharing (Case Study: Islamic Azad University) Adel Salavati Ph.D of State Management and Assistant Professor Azad University Sanandaj Branch Rezan Zandi M. Sc of Executive Management Sahar Amani * M. Sc of Business Management [email protected] The present research with purpose of the identify of relationship between organizational cynicism and knowledge sharing in Islamic Azad University has been done. The population of the research included 380 employees of Islamic Azad University of Sanandaj that of wich 110 people selected as the research sample through two-stage cluster sampling method. Organizational cynicism has been studied based on Dean's model (1998) included dimensions destructive beliefs, negative emotions, and disparaging and critical behaviours. Knowledge sharing also has been studied based on Fong & Choi's research dimensions (2009). Methodology of research is descriptive of correlation type and based on structural equation modelling. Questionnaires have been used to collect data. Reliability of questionnaires with Cronbach's alpha, respectively for the two variables was calculated to be 0.92 and Test validity too using exploratory factor analysis and the KMO index was confirmed. The collected data were analyzed using Lisrel 8.5 software. Final results of research showed an inverse relationship between organizational cynicism and its dimensions with knowledge sharing. Keywords: organizational cynicism, knowledge sharing, knowledge management, destructive beliefs, negative emotions, disparaging and critical behaviors. 541 هجله هديريت صنعتي دانشکده علوم انساني دانشگاه آزاد اسالهي واحد سنندج- سال نهن / ويژه ناهه هديريت دانش / پاييس 2931

9 Structuring the Relations among Marketing Learning Orientation, Knowledge Management, Marketing Data Mining & Knowledge-Based Marketing Saman Sheikhesmaeili * PHD Student of Marketing Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran. [email protected] Tayebeh Aeini Masters of Business Management, Human Science Branch, Islamic Azad University, Sanandaj, Iran. The main purpose of this study is to build a model for structural relations of Knowledge-Based Marketing concept with regard to the Marketing Learning Orientation within corporate business & mediating role of Knowledge Management & Marketing Data Mining. Therefore, Pegah Company Limited in diary industry has been selected as studied case & data collection. According to the methodology, the study is a descriptive- survey research & based on exploratory survey methods. The required data has been collected through questionnaires based on factor analysis. In scale development, the literature & models of various studies has been considered, & then questions & factors has been set, validated, verified & distributed. Validity of considered factors has been approved by the experts & constructs validity as well as factor analysis & KMO indicator. Reliability is also measures & approved by Cronbach alpha.by using statistical software, the proposed model has been approved by the findings of research. This means that the variables have been good explanatory Marketing Learning Orientation, Knowledge-Based Marketing, Knowledge Management & Marketing Data Mining & hypothesized relationships in the model have been significantly confirmed. Other results represent the rating dimensions, proposed indicators, & fitness of the model in the studied case. Keywords: Marketing Learning Orientation, Knowledge Management, Marketing Data Mining & Knowledge-Based Marketing. 543 هجله هديريت صنعتي دانشکده علوم انساني دانشگاه آزاد اسالهي واحد سنندج- سال نهن / ويژه ناهه هديريت دانش / پاييس 2931