MohammadHadi KhorashadiZadeh; Hassan Mehrmanesh; Zadollah Fathi
Abstract
Continuous changes in today’s business environment, have led institutions to recognize knowledge as their key capital. Knowledge has become a key source in every organization. This study while, considering importance of knowledge in current organizational activities, is looking for the antecedents ...
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Continuous changes in today’s business environment, have led institutions to recognize knowledge as their key capital. Knowledge has become a key source in every organization. This study while, considering importance of knowledge in current organizational activities, is looking for the antecedents as well as the consequences of knowledge sharing using the grounded theory.The present study is a developmental research in the first phase and an applied one in the second phase. In the first phase it is an exploratory research and in the second phase it is an explanatory research. Moreover, it is a qualitative type with grounded theory approach in the first phase, while a quantitative method employing the structural equations in the second phase. The statistical population is the Hamkaran System Group. A purposive snowball sampling is employed in the first phase and a random sampling in the second one. Sample size is 17 people for first phase and 253 people for second phase. Results reviewed by two professors and points were made for the purpose of either revising or modifying the theory. Results of the grounded theory led to detection of 22 key factors e.g: distribution of knowledge as a central phenomenon, intra-organizational order, synergy formation, knowledge retesting, maturity-oriented development and safe margins of knowledge distribution. Theoretical comparison, structural equations and path analysis were applied for their relations and influences
Mohsen Tabatabaei; Abbas Afrazeh; Abbas Seifi
Abstract
This paper aims to propose a knowledge sharing optimization model based on the game theory that optimizes both employer and employee(s) decisions simultaneously. This model is a bi-level programming model. The upper-level problem includes employer decision about the reward, and the lower-level problem ...
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This paper aims to propose a knowledge sharing optimization model based on the game theory that optimizes both employer and employee(s) decisions simultaneously. This model is a bi-level programming model. The upper-level problem includes employer decision about the reward, and the lower-level problem contains employee(s) decisions about time and effort allocation to knowledge sharing activity. Mathematical formulation of the model designed based on previous literature and in the framework of Motivation-Opportunity-Ability. The proposed bi-level programming model provides a foundation to investigate more different parameters comparing with previous models introduced in the literature. This model considers opportunity and ability factors in addition to the motivation. Also, payoff functions in this model are non-linear and therefore is more consistent with real cases relative to previous linear models. Additionally, this model analysis the effects of available time as a key factor. The bi-level model coded in GAMS using EMP syntax and solved for a set of randomly generated data using BARON algorithm. Results show that the increase of applicability of codified knowledge and impact coefficient of social comparison could improve organizational performance and also save the cost of reward system. Therefore, neglecting these two parameters in designing a reward system could lead to non-optimized decision making. This research provides a basis to consider more parameters simultaneously and help to improve organizational decisions. However, based on the results, BARON algorithm is not efficient to solve big problems, so developing a more efficient algorithm is needed
