Human capital in urban management
A. Shahrabi Farahani; K. Teymournejad
Abstract
BACKGROUND AND OBJECTIVES: Career management determines the direction of staff's movement in the organizational hierarchy and directs them to perfection. The Objective of this study was to design a model for career management of Tehran Municipality employees. METHODS: The research method was Qualitative-Quantitative ...
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BACKGROUND AND OBJECTIVES: Career management determines the direction of staff's movement in the organizational hierarchy and directs them to perfection. The Objective of this study was to design a model for career management of Tehran Municipality employees. METHODS: The research method was Qualitative-Quantitative and the statistical population of the study was 11 experts in the qualitative section and 660 employees of the organization in the quantitative section. The data collection tool was semi-structured interviews in qualitative section and in quantitative part of the questionnaire was researcher-made. Using the Grounded BACKGROUND AND OBJECTIVES: Career management determines the direction of staff's movement in the organizational hierarchy and directs them to perfection. The Objective of this study was to design a model for career management of Tehran Municipality employees. METHODS: The research method was Qualitative-Quantitative and the statistical population of the study was 11 experts in the qualitative section and 660 employees of the organization in the quantitative section. The data collection tool was semi-structured interviews in qualitative section and in quantitative part of the questionnaire was researcher-made. Using the Grounded Theory and Theoretical Coding, the initial model was presented and the final model of the research was presented using Delphi technique and obtaining the opinions of experts. Exploratory Factor Analysis and Structural Equation Modeling were used to validate the model. FINDING: The final research model was based on 6 categories, 13 factors and 36 concepts: Causal Conditions included individual and organizational factors, Context including hardware and software capabilities, Intervening Conditions including environmental, behavioral and structural barriers, and Strategies including development and current strategies. Consequences of model implementation were classified into three categories: employees, organization and citizens. Among the 36 concepts identified, the highest factor load was related to the concept of job enrichment with a value of 0.882 and the lowest factor load was related to the concept of productivity with a value of 0.712. This model was investigated among the employees and the results of validation confirmed the model. CONCLUSION: By implementing career management, the field of growth and prosperity of employees in the organization is provided and improves the productivity of the organization and customer satisfaction.
M. Shirafkanlamso; P. Mohammadzadeh; D. Behboudi
Abstract
Optimal housing selection is one of the most important challenges in housing demand, which most people, especially housing investors, are facing. Although there is an overall agreement on the importance of the budget role on choosing the house, the model that uniquely measures the role and impact of ...
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Optimal housing selection is one of the most important challenges in housing demand, which most people, especially housing investors, are facing. Although there is an overall agreement on the importance of the budget role on choosing the house, the model that uniquely measures the role and impact of all the factors of investment demand for housing has not been presented and no clear explanation is made. Considering the central role of budget constraints, behavioral and control factors in investment demand, this research carried out in the framework of the qualitative (method of data research method) and quantitative (polynomial logistic method) approach to explaining the mental pattern of investment demand for housing in Tabriz. The data were obtained from semi-structured interviews of 12 experts familiar with the issues of housing capital and distributing a questionnaire among 720 households in Tabriz. The result revealed 250 code, 20 concepts, and 4 categories, based on which the qualitative research model was designed. Also, the results of estimating the logit model using the STATA software indicate that important factors such as welfare and comfort aspects with a coefficient of 0.8292, access to urban services with a coefficient of 0.2287 and proximity to relatives with the coefficient of 0.2199 have had a positive and significant effect on the capital investment demand. But the close proximity of the household header with the coefficient of -0.2014 has a negative impact on the choice of housing capital.
