Earticle

Recently, there are many cases in which employees with work knowledge and know-how in companies or organizations retire without transferring their knowledge due to various variables in the knowledge generation process. After that, these knowledge and know-how naturally disappear in a neglected state, resulting in loss of knowledge nationally, which can weaken national competitiveness. In principle, knowledge generation is basically performed by internal employees of the company, but if it cannot be resolved internally, it is necessary to utilize external knowledge resources. Due to the retirement of employees, their expertise and know-how have already become external resources, but there is a desperate need for a system to utilize them continuously and efficiently. Therefore, in order to solve the above research problems, this paper proposes the development and utilization plan of an expert knowledge management system(EKMS) to efficiently utilize the knowledge resources of external experts including retirees.

Despite the continual growth of the shopping centre business in Uzbekistan over the last several years, there is no empirical research that had been done in a reasonable amount. The paper aims to identify the attractiveness factors of Uzbekistan shopping malls from consumers’ perspective and segment shoppers based on these attractiveness factors. In addition, the study tested whether there is a significant difference between women and men in their assessment of mall attributes, purchasing behaviour and visiting patterns. A total of 319 respondents participated in the study. Principal component analysis was used in the determination of shopping mall attractiveness dimensions and K-means cluster analysis for segmentation. The analysis of the data identified four determinants and three cluster groups of consumers (mission, entertainment, demanding). Among the four dimensions, the entertainment and diversity factor was identified as the most important in influencing shopping mall attractiveness.