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Citizens are beginning to play a key role in the development of the smart city concept, providing a wealth of information for the sustainable development of cities. For this research, we planned and conducted empirical studies to examine the areas influencing the quality of life from the point of view of municipalities. A questionnaire form was developed and a survey was conducted on a sample of 84 municipal offices in Poland. We tabulated, statistically processed and analysed the results and thoroughly investigated the areas influencing the quality of life, their impact and importance. We determined which areas of the city are included in municipal research and checked whether there was a need to expand these areas. We found that the people responsible for research in municipal offices are aware that the quality of life is influenced by many areas and conditions. However, these people only choose selected areas for research and have a problem with indicating what can be extended to them. At the end of the article, the limitations of the conducted research are indicated and the directions for further research are proposed.

Purpose: The main aim of the article is to evaluate and analyze the role, participation and work motivation of women and men in the science sector in Poland. Design/Approach/Methodology: Two research themes are presented during the research. The first one concerns determination of the share and role of women in the academic sector in Poland in 2008-2018 and it is a macro perspective. The second research theme includes motivation factors in research institutes in the light of the surveys' results. Findings: According to the research results the place and role of women in obtaining higher degrees in academic career in Poland (post-doctoral degree and professor's title) was still significantly lower than the place and role of men. Additionally, there were still some inequalities in using motivating factors between men and women. Practical Implications: Sustainable development will not be possible without gender equality and the recognition of women's work. It will also not be possible to achieve the full benefits of this development that serve present and future generations. Therefore, the elimination of diagnosed symptoms of discrimination may contribute to increasing the innovation of scientific research and, as a result, to improving the quality of life in modern world. Originality/Value: Research in this area has not yet been more widely conducted and described in the literature on the subject, therefore its results are a valuable source of information on gender equality in the Polish academic sector.

This article addresses the issue of forecasting demand for products flowing in a distribution network conducted from the perspective of a 3PL logistics operator. Its purpose is to present a tool based on the R software, which is to be used for automatic forecasting of time series. Design/methodology/approach: The work uses the algorithm of automatic forecasting of time series implemented in the "forecast" package. The algorithm was used in a loop for different lengths of the time series to determine the best length of the series. The minimal RMSE value in the training set and in the test set were considered as optimality criteria. Findings: It is shown that the best time series length is 60 weeks in the considered case. Originality/value: The procedure for selecting the best time window length for forecasting demand for products in distribution network.

The main purpose of the work is to present the impact of standardisation methods on the ranking results. The second purpose of the article was to present Warsaw's position in comparison with the capitals of countries from the Eurozone. Design/methodology/approach: Major European cities were assessed using Eurostat data. The proprietary Smart City Index (SCI) indicator is proposed for the study, referring to six areas of Smart City assessment. Two measures are indicated in each of them. The first is an objective measure, while the second is a subjective measure, based on the opinion of the city's residents about the situation in the city, or their own situation. Building rankings of the cities, following normalisation methods were used and compared: unitisation, unitisation with zero minimum, normalisation in range [-1, 1], classical standardisation, Weber standardisation and two quotient methods. Findings: The best results were obtained for the classical standardisation. For this method we obtained the smallest number of consistent positions in rankings and the minimal maximum of distance between the positions in rankings. The position of Warsaw as a city in 16th position (20 of all) was confirmed regardless of the standardization method used. Originality/value: There is proposed an original method to assess cities based on Eurostat data. This method allows construction of Smart City ranking. The main value of the work is that the classical standardisation is recommended to transform the original values of individual indicators.

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