Background: Undoubtedly, one of the most important objectives of any organization is to provide high quality and desirable goods and services that depends on the performance of human force of the organization. The performance of physicians and nurses is a very important factor in establishing and enhancing the effectiveness of services. Since nurses are the most fundamental medical staff of the hospital, the present study was performed with the aim of investigating the factors affecting the job performance of nurses working in selected teaching hospitals in Tehran in 2018. Methods: The target group of this study included nurses working in inpatient wards of hospitals, of whom 354 individuals were selected by simple random sampling method. The intraorganizational environment questionnaire (Weisbord), five personality traits (NEO personality inventory), and Paterson’s job performance questionnaire were the three data collection tools. The study was conducted in 2018 and the data were analyzed by SPSS 20 software using descriptive statistics and artificial neural networks. Results: In the personality traits questionnaire, neuroticism (40.22 ± 6.66) dimension had the highest and responsibility (23.94 ± 4.91) dimension had the lowest mean scores. Also in the inter-organizational environment questionnaire, communication (14.66 ± 4.52) dimension and rewards (21.33 ± 6.54) dimension had the best and worst status, respectively. Comparison of significance coefficients in neural networks showed that dimensions of agreeability (100 %) and marital status (8 %) had the highest and lowest importance in nurses’ job performance. Conclusion: The results reveal that the dimensions of personality traits and job agreeability dimension have the most effect on the employees’ job performance. Hence, it is possible to improve staff performance by hiring people consistent with their work.

Background Planning and decision-making for the elderly requires a special attention due to the beginning of aging process in Iran. By emphasizing the concept of active aging, determining the status of the elderly like their ability to continue work over time, to attain income and to participate in social and political life is significant. Active aging uses the indicators measuring the non-used potential of the elderly for having an active and healthy aging. This study aimed to determine the level of active aging among the provinces of Iran in 2018 by considering 11 indicators related to elderly’s health, well-being and socioeconomic participation. Methods The raw data were obtained from Statistical Center of Iran. After establishing the indicators based on the Global Age Watch approach, the provinces were ranked by the TOPSIS method in terms of aging status. Results The results indicated that only Tehran and Alborz had the highest development level of active aging while 16% of the provinces had a semi-developed status and 77% failed at experiencing a satisfactory welfare, economic and social status. Conclusions Four indicators had the highest importance included the percentage of the elderly with a diploma and academic degree, the percentage of the elderly with lower incomes than the median income, the median income of the elderly to the median income of the other people in society, and life expectancy among the 65-year old men. Studying the indicators deeply can result in the appropriate planning for each area in line with the improvement of the elderly status.