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Identifying Poor Performance Dimensions And Clustering Poor Performers: A Case Study In Tehran University Of Medical Sciences
Seyed Mohsen Tabatabaei , Masumeh Habibi Baghi, Seyedeh Bahareh Kashian, Mahmood Biglar,
Volume 9, Issue 5 (2-2016)
Abstract

Background and Aim: Employees are an organization's greatest assets and organizational performance is dependent to employee’s performance. Presence of inefficient employees can make other employees to be less productive. To improve inefficient employees to high performance level, it is necessary to analyze the performance of employees. This study aims to identify and determine poor performance dimensions and cluster inefficient staffs.

Materials and Methods: This study was an analytical and descriptive research. The research made questionnaire developed for data collection and Principal Component Analysis (PCA) and Cluster Analysis (CA) techniques in SPSS used to analyze the research data.

Results: The PCA results showed that six poor performance dimensions were behavioral problems, low results, lack of self-efficacy and creativity, sabotage, postponing, and individualism. The CA results declared that poor performers can be classified to five clusters include poor behavior, lazy, jobber, poor ability, marginal, managers believed that root of employees’ in inefficiency attributed jobber, poor ability, and lazy employees to internal causes, and attributed bad behavior and marginal employees to external causes.

Conclusion: The type of inefficiency and its dimensions should be identified in order to make effective decisions for inefficient employees. Employees clustering propose a new attitude toward inefficiency differentiation comparing to literature,  and this five group clustering based on empirical data expected to be more applicable in practice.


Evolutionary Knowledge Creation Model Validation Based on Multi Case Study and Simulation
Seyedeh Bahareh Kashian, Abbas Afrazeh, Seyed Mohsen Tabatabaei, Mahmood Biglar,
Volume 10, Issue 5 (1-2017)
Abstract

Background and Aim: Modeling of organizational knowledge creation process is one of the key areas of research in knowledge management. The aim of this paper was to determine solutions for developing and improving evolutionary knowledge creation model based on the model validation results in real world.
Materials and Methods: This study was an analytical and empirical research that was done by multi case study and simulation strategy. The committee was formed to collect information from various source of data including organizational documents and interview with senior managers about knowledge creation history for 5 years in Development and Planning Management department of Tehran University of Medical Sciences. Data analysis was done using descriptive statistics and qualitative analysis. Also, the mathematical formulation was analyzed using simulation in Excel.  
Results: In most of analyzed knowledge creation cases, knowledge absorption from external source through changing managers or employing consultant following integration with exist knowledge was occurred. Also, simulation results show that, mathematical relations were not well defined and changing them makes results more acceptable. 
Conclusion: Knowledge grow in organization has occurred through three ways including planned knowledge creation based on managerial decisions, planned knowledge absorption based on managerial decisions, and random knowledge creation mechanism, and all of them have impact on essential knowledge contents. 


Assessing the Maturity of Intellectual Capital in the Field of Management and Planning of Tehran University of Medical Sciences
Seyed Amir Reza Nejat, Mahmoud Bigler, Seyedeh Bahareh Kashian,
Volume 16, Issue 1 (3-2022)
Abstract
Background and Aim: Intellectual capital, with its basic knowledge nature, is an intangible, strategic, unique and competitive advantage resource. The purpose of this study is to investigate the current state of intellectual capital maturity in the field of management and planning of Tehran university of medical sciences.
Materials and Methods: This research was applied in terms of purpose and with a quantitative approach in 1400 and a questionnaire was used to collect information. The statistical population is the middle and basic managers of the Vice Chancellor for Resource Management Development and Planning. Using Morgan table, 57 people were randomly selected and analyzed by t-test and non-parametric statistical tests using SPSS software. Has been. The content validity of the questionnaire was obtained by examining the research background and obtaining the opinions of experts, and the Cronbach’s alpha coefficient was used to assess the reliability, the value of which was 0.874.
Results: Statistical tests show that the five levels of intellectual capital management maturity follow a nonlinear pattern and the level of realization of the initial level characteristics, ie lack of intellectual capital structure, is higher than acceptable, but the statistical test of other levels of maturity Included; Managed, defined, quantified and optimal management is not significant at the significance level of 0.05.
Conclusion: The current situation of intellectual capital in the study population indicates that management is unaware of the importance of intellectual capital and no action has been taken to implement the knowledge capital management process. Although there is a lot of necessary infrastructure in the Vice Chancellor, however, insufficient understanding of the capabilities of intellectual capital management as a strategic resource is evident in this research. To reach the defined level and the next levels, the organization needs to identify, activate and direct the intangible source and then quantify, standardize and manage quantitatively and analyze the strengths and weaknesses and finally the continuous improvement of processes and Focus on innovation.

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