Inter-organizational communication, coordination, and network effectiveness have long been of great interest. However, the level of their complexity and situational dependencies still create challenges for researchers and public managers. It is usually assumed that inter-organizational communication leads to inter-organizational coordination, but little is known how these processes interact and complement each other. This article aims at identifying relationships linking these processes and analyzing their impact on effectiveness of emergency management networks. Achieving the goal of the article based on the survey questionnaire conducted with 83 experts. The results were analyzed using the principal components analysis (PCA), correlation analysis, hierarchical clustering, and partial least-square path modeling (PLS-PM). The analyses conducted allow for identifying the dimensions of the research processes, and relationships linking them. This was the basis for building the research models testing how relationships between inter-organizational communication and coordination influence the effectiveness of emergency management networks. Comparing analyzed models points to complementarity, parallelism, and the possibility of a non-sequential course of inter-organizational communication and coordination.

Quality-of-life surveys can play an important role in obtaining information for sustainable urban development. To collect such data, a proper understanding and preparation of these surveys by city offices are needed. The research team developed a research concept to investigate how city offices conduct quality-of-life surveys and use this information. The paper presents the results of a survey conducted on a sample of all cities with a population over 50,000 in Poland. The surveyed cities were divided into two groups, cities that conduct formalized quality-of-life surveys and cities that do not conduct such surveys. The survey examined how cities understand the areas that affect quality of life and how they determine the influence of the local government on the quality of life of residents. Similarities and differences were considered in the two groups of offices surveyed. The necessity of including a large number of areas that affect the quality of life in the surveys conducted by cities was emphasized. Such an approach provides an opportunity to collect a variety of data that can be used for the city’s needs. It was found that cities conducting formalized quality-of-life surveys stand definitely higher in determining the impact of the local government on the quality of life of residents.

Cities, in order to develop, should acquire data from various sources, properly process it, and skillfully use it for sustainable development. One such source is data from the surveys of residents’ quality of life. When processed as appropriate, the data may be a valuable source of information concerning sustainable development for the city. However, the very fact of carrying out the quality-of-life surveys does not guarantee that the information obtained from them will be used to manage the city. Based on studies entailing a sample of 29 city offices in Poland which declared regular studies of the residents’ quality of life, it was proved that the preparation and organization of such studies influences later use of such information for sustainable development purposes. Relying on the method of examining the quality of life and the number of specific indicators, the cities studied were divided into two groups. One was involved, and the other was not in the process of preparing quality-of-life surveys. A comparison was made between these groups of cities in terms of the areas included in the quality of life surveys, the decisions and actions taken based on the analysis of the results of these surveys, and the purposes for which the information is used. The areas in which the local government declares an impact on the quality of life of its residents were also compared. Attention was paid to significant differences between the two groups of cities and the effects of each of those two approaches were specified.

In this article, we analyze the energy consumption data of business customers registered by trading companies in Poland. We focus on estimating missing data in hourly series, as forecasts of this frequency are needed to determine the volume of electricity orders on the power exchange or the contract market. Our goal is to identify an appropriate method of imputation missing data for this type of data. Trading companies expect a specific solution, so we use a procedure that allows to choose the imputation method, which will consequently improve the accuracy of forecasting energy consumption. Using this procedure, a statistical analysis of the occurrence of missing values is performed. Then, three techniques for generating missing data are selected (missing data are generated in randomly selected series without missing values). The selected imputation methods are tested and the best method is chosen based on MAE and MAPE errors.

Despite the abundance of researches on innovation and green innovation, there remains a necessity to further research in this field. This is particularly crucial in regions like Central and Eastern Europe, including Poland. This publication is a part of research on business innovation utilizing public funds. The paper aims to pinpoint directions for further empirical research on innovation within enterprises funded publicly. Empirical research was conducted using a database of 95 projects, all of which were included in the lists of projects selected for funding under the Opolskie Voivodeship Regional Operational Programme 2014-2020 (Enterprise investments in innovation). The vast majority of projects involve products/services/technologies that are innovative not only regionally and nationally, but also globally. The innovation of the solutions applied was assessed as high. On the other hand, the green innovation of applied solutions was assessed as average. This opens up an interesting field of research into the barriers to green innovation. The data shows that none of the projects implemented by SMEs was implemented as a partnership (SME Cooperation). In the case of large enterprises, 76% of projects were implemented in cooperation with SMEs and/or NGOs and/or research institutions. Interesting line of research could be the evaluation of the barriers for cooperation between SMEs when implementing a green innovation project.

In this work we examine the impact of informal contacts network in the context of organizational change. We use a cellular automata model with majority rule and movement but supplemented with additional mechanism which generates much more unbalanced network between agents. The structures of the emerged networks are briefly described and the outcomes of two variants of simulation experiments are presented. The main results are that the presence of informal contacts network leads to (1) stronger effects when the two groups of agents (those in favor of the change, and those against it) are not equal and (2) to more unpredictable outcome for large density of agents.