Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018

This paper presents technological factors of profitability which were analysed for the outsourcing enterprises in the financial service sector in Poland. The paper describes and presents a discussion of the crucial technological factors determining the profitability of the outsourcing enterprises. The analysis was focused on the following factors: the applications and services available via “cloud”, automation and robotization, interactive applications and social media, tools and applications for processing a large volume of data and the artificial intelligence solutions. In view of the empirical verification, the crucial technological factors included robotization and automation, the applications available via “cloud” as well as the tools and applications for processing a large volume of data. The results were verified for a two or three year timeframe. The factors were analysed from the perspective of the positions the respondents held, the line of business of an enterprise and its location. The data were collected on the basis of tailored questionnaires. The statistical results were verified by the ANOVA variance analysis.

The article proposes the modernization of the algorithm for assessing the investment potential with the use of new indicators of the qualitative analysis of the long-term investment market: “compressiveness,” “depth,” and “relaxation” in the system of sustainable financing. This algorithm allows assessing the adequacy of the investment potential, determining the average time for post-crisis relaxation of the investment market, and developing measures to regulate the impact on the market.

The goal of the research was to compare the selected traditional bankruptcy prediction models, namely linear discriminant analysis and logit (logistic) models, with the technique called Gradient Boosting. In particular, the paper verifies two research hypotheses (verification was based on the balanced sample of Polish companies): [H1]: Gradient Boosted Decision Trees algorithm is more accurate than traditional bankruptcy prediction models: logit and discriminant analysis; [H2]: Boosted Decision Trees use both: financial ratios and normalized data from financial statements, but the same accuracy one can achieve only with the normalized data and the bigger number of weak learners.

This paper deals with the economic effectiveness of the company. The aim is to investigate which external determinants that have an impact on the economic efficiency of an enterprise measured by selected financial indicators. The research was carried out by building econometric models taking into account a number of theoretically indicated external factors that could affect the economy of enterprises, and what is their statistical significance of the relationships between individual factors and selected measures of economic efficiency were examined.

In the modern market economy, intellectual resources are the main driving force behind the economic and technological development of enterprises in the SME sector. This issue is a key factor for the development of this type of enterprises in Poland. The article presents the results of research including published statistical data (Polish and European reports) and own surveys carried out in a group of 32 enterprises belonging to the sector of small and medium-sized enterprises. Questionnaire interview (oral communication, standardization of the message, individual respondent, presence of an interviewer) was directed to the managerial staff. The aim of the research was to determine the level of knowledge about intellectual resources and their role and importance for the functioning and development of the company. Statistical surveys and results obtained from interviews were illustrated with drawings. The analysis of the obtained results indicates low interest in practical issues of intellectual property management in the surveyed enterprises, which are again reflected in the limited use of these resources in order to build innovative potential and competitive advantage. In this area, our own research coincides with statistical data, including the European Innovation Scoreboard (2017).

The aim of the paper is to assess the quality of practices used in the multiples approach in investment recommendations. A hundred investment recommendations were examined, coming from seven different brokerage houses, issued in year 2016. The results suggest that the cognitive value of the multiples valuation in the recommendations is very limited. In a statistically significant way, the results of multiples valuation do not differ significantly from the results obtained using the income method. In the majority of analyzed reports, multiples based valuation method has a direct impact on the final value of the shares resulting from the recommendation. Most reports use a multi-stage procedure, in which the valuations resulting from multiples were subject to subsequent transformations that can lead to the possibility of manipulating valuation results. The range of the applied multiples is very poor, in almost all cases P/E and EV/EBITDA measures are used, other multiples are used incidentally. On average, the valuations are based on about ten comparable firms, however the multiples have broad dispersion. The scope of disclosures in the area of multiples valuation is marginal and certainly insufficient. There is no information on the method of selecting both multiples, comparable companies and often very different transformations made on the input data. There is no justification that would ensure the objectivity of the proceedings.

The main goal of this article is an attempt to indicate the analysts’ bias in forecasting financial parameters published in Polish over the calendar years 2005 through 2012, in divided into two sub-periods – bull and bear market and years with lower and higher economic growth. The first part of the article assesses the accuracy of analysts’ forecasts. The second part examines the analysts’ tendency of underestimation or overestimation of forecasts. This paper provides evidence that there are statistically significant differences in analysts’ biases between analysts’ forecasts published during bull and bear market - for net profit. And also between analysts’ forecasts from period with lower economic growth and greater economic growth for the following parameters: revenue, EBIT, net profit and net working capital.

This article verifies a mathematical model that generalizes the processes of development and commercialization of innovations, representing a modernized product, with such essential distinctive features that its entry to the market leads to a devaluation of consumer properties and the value of the previous one. Such innovations are essentially a new generation of a product that is consistently in demand on the market. In this paper, we solve the problem of developing an economic and mathematical model for the dissemination of innovations in high-tech sectors of the economy, characterized by the periodicity of bringing products to the market that represent a new generation with significantly higher consumer qualities, and generating cash flow as recyclable products and again commercialized. The model of this innovation process is typical for high-tech sectors of the economy: engineering, automotive, computer technology, software and a number of others that are key to the digital economy. Therefore, the generalized mathematical model makes it possible to increase the validity of management decisions in the management systems of the most dynamically developing innovations of high-tech industries in the derivation and commercialization of new generations of products.

The article describes research in the field of approaches to calculation of risk culture in banking organizations in terms of operational and information risk management system. It propose a decision-making system based on various tactics, which based on strengthening zones of influence on the risk culture of organizations. Proposed classifications on the model used in one of the biggest commercial bank in Russian Federation with a separate structure of risk compliance and information risk. In framework of this study, ways and approaches to optimize the operational risk management process were defined, a model for parametrizing and assessing the level of risk culture was developed, and the relationship between risk culture and bank damage as the main driver of operational risk management system was explored. The main goal of introducing a risk culture is to develop a company’s behavior that determines collective ability to identify, analyze, openly discuss and respond to organization’s existing and future risks to ensure long-term and sustainable reduction in risk-related losses. The result of implementation of the developed model is the optimization of the bank’s policy in the field of standardization, HR and diversification of banking risks.

The purpose of this study is to gauge the impact of volatility risk on TAIEX Option return using regression models for analyzing 12-month cross-sectional option data. Our empirical results indicate that disparate volatility-risk factors have considerable effects on abnormal returns, and expect to create risk premium; specifically, the market risk premium, policy rewards, and fear index can lessen the return of 7.806%, 6.336%, and 1.294% per year, respectively.

In this paper, important properties of an insurer’s portfolio, which consists of a catastrophe bond and a reinsurance contract, are numerically analysed. Because of stochastic nature of considered processes, simulations and the Monte Carlo (MC) methods are applied. Special attention is paid to estimation and optimization of an average value of the portfolio and to probability of the insurer’s ruin. Moreover, we assume that the ruin event is related to additional expenses, which are modelled by various penalty functions. In the considered numerical examples, apart from strictly crisp sets of parameters, also fuzzy numbers are used to model the possible penalties, which are related to the ruin event.

A concept of the trading system is proposed in which only selected market indicators generating the most beneficial recommendations for traders are included. The proposal can be implemented as an additional module included in the existing trading systems. We present a procedure, in which for a given initially considered indicators, only the selected ones being the most beneficial for a trader for a given time window are derived. In the procedure, an efficiency of initially considered indicators is verified in each time window on the basis of their past performance. Using the verification results the ranking and selection of the best ones is made.This procedure is implemented and included in the trading system on the Forex market. To evaluate our approach we have performed detailed experiments including real-world data covering the period of almost three years and ten different technical indicators.The presented results show, that the proposed approach is promising. The set of indicators included in trading systems should be limited and changed sequentially using the presented procedure.

In the market economy correct determination of the financial structure is immensely important. The right equity form can contribute to its competitive edge, whereas the improper one may lead up to many problems, among other things, the loss of corporate ability to pay off its financial obligations.This paper covered the analysis of fifteen thousand manufacturing companies, among them the ones, marked by high quantities of equity in the total assets, have been selected along with intervals of values. Next, the analysis of financial liquidity has been carried out within the group in question – the most typical indicators of liquidity have been computed. Namely, current ratio, quick ratio, cash ratio, size of working capital I and II ratio.The comparative analysis of the indicator of the size of equity with the indicators of liquidity makes it possible to answer the question: Are the companies having a high share of equity in the total assets marked by overliquidity? ANOVA test has been applied to analyse the influence of the size of equity on the corporate liquidity. Based on the results of the test, there is a significant impact on the value of liquidity ratios of manufacturing companies. The companies having a high share of equity in the total assets were marked by overliquidity. In addition, the standard values for liquidity ratios were calculated.

In the present work, the distribution of the number of inversions has been considered. This constitutes a generalization of the distribution used in the Kendall test. Explicit formulas have been given for the calculation of the first two moments of the distribution of the number of inversions. In addition, proposal for the estimation of the probability of inversion has been provided. The proposed estimator, based on the monotonicity of the expected value, is an unbiased estimator.

The present study aims to develop and empirically validate a framework for exploring the role of business intelligent tools in shaping the dimensions of collective intelligence. A questionnaire survey was developed to collect data from 9 firms across all industries with a sample of 89 respondents. Structural Equation Modeling, using smart PLS was conducted to analyze the data. The results indicated that business intelligent tools play a significant role in harvesting the dimensions of collective intelligence, including collective cognition, shared memory, knowledge sharing, and collective learning.

In contemporary businesses substantial efforts are made to promote workforce diversity. Some leading organizations publically announce the introduction of I&D (inclusion and diversity) strategies and train their management staff in diversity management. Those initiatives most often build implicitly on the assumption that workforce diversity is positively correlated with organizational performance which, as research results show, is somewhat debatable. Consequently, the gap between the key assumptions of diversity management and business practice calls for further research. This article is an attempt to address it by presenting the concept of conjoined management drawing on observations of management routines in the best European football clubs, i.e. highly dynamic organizations which deal quite well with diverse workforce. In essence, conjoined management consists of five dimensions: talent focused recruitment, sense of unity for a common goal, collective group identity, transparency of operations and inside-out leadership. To demonstrate application of the concept in practice a case study has been presented on an application integration department within a multinational FMCG company.

The organizational structure of an enterprise is continuously exposed to increasing complexity induced by growing dynamics and complexity of its environment. It is therefore not surprising that the simplification of structural solutions is becoming increasingly important and implies challenging Ashby’s law. In the literature on the structuring of organizations, the principle of simplicity appears to be ambiguous and not well articulated. Moreover, the following research problem seems to be left unaddressed: can the simplification of an organizational structure be solely narrowed down to its complexity reduction or should it be complemented by other measures, such as an increase in employee participation (in the simplification process), to be effective? The concept proposed in this paper represents an attempt to unravel it. It is based on J. Maeda’s ten laws of simplicity of product design which, as it turns out, have significant transfer potential into the field of organizing. It stresses that an effective simplification of an organizational structure cannot be based solely on complexity reduction but requires as well an active development of the so-called bottom-up organizational culture and continuous improvement of the self-management system.

This paper refers to current research area, which is the relation between information technology (IT) and organizational performance. The main objective of this paper is to identify the role of IT reliability in shaping the organizational performance in SMEs. Proposed theoretical concept is empirically verified. The verification is based on empirical studies conducted in 400 SMEs operating in Poland in 2017.

Marketing is the business operation that many different companies or organizations use to promote their products or enhance their image to their customers or users. Then it derived different marketing practices and models for different situations. Target marketing is one of the most effective and popular choices. It is a kind of customer marketing, mainly using analysis of customer characteristics to segment customers, in order to achieve specific commodity marketing for the purpose. Library, especially public library, how to borrow the concept of target marketing to promote its utilization and services is a problem that library managers must actively conceives. The Pareto Principle is currently the most important and popular management rule applied to marketing, customer relationship management, services or products promotion, etc. This study will explore whether there this principle exists for patrons’ borrowing in public library, thus as the basis of target marketing. And we will apply data mining technology to analyze the characteristics of the vital patrons, in order to further serve as references for setting target marketing strategy. This paper was the first research to reveal that the Pareto Principle could be found in circulation data of public libraries in Taiwan. The results can help libraries identify vital patrons and major collections, and improve the efficiency of their management and marketing in future.

The quality of controlling outputs is often indicated as an important factor influencing results obtained due to controlling implementation. However, efficient functioning of controlling seems to be impossible without IT. The notion of IT reliability is discussed in the paper as a potential factor determining the achievement of high quality of controlling products and results of its implementation in the organization. The proposed theoretical framework is verified empirically on the sample of 557 organizations operating in Poland. The aim of the paper is to identify the relations between the IT reliability, the quality of controlling products and the results of its functioning in organization.

User experience (UX) refers to a person’s emotions and attitudes about using a particular product, system or service. It includes a person’s perceptions of various related aspects such as utility, ease of use and efficiency. In our work, we decided to test and evaluated a potential of UX use under the conditions of a small company in Slovakia. We started with an analysis of relevant business processes in the company with the aim to identify possible points for change or improvement. Based on the results, we designed a new web application to support related company’s processes. During the design phase, we used suitable UX elements to ensure the most positive end-user perception with the final prototype, such as paper sketches, wireframes or functional prototypes. The final version brought a high level of customer satisfaction. He did not evaluate positively only the implemented functionalities and usability of the web application, but also the UX elements he came into contact with. The most important lessons learned are intensive communication with end-user during the whole development process; a decision about a common vocabulary to make this communication easier; an organisation of the f2f testing sessions, not only in virtual form.

The discipline of enterprise architecture (EA) provides valuable tools for aligning an organization’s business strategy and processes, IT strategy and systems, personnel structures, and organizational culture, with the goal of enhancing organizational agility, adaptability, and efficiency. However, the centralized and exhaustively detailed approach of conventional EA is susceptible to failure when employed in organizations demonstrating exceedingly great size, speed of operation and change, and IT complexity – a combination of traits that characterizes, for example, some emerging types of “technologized” oligopolistic megacorps reflecting the Industry 4.0 paradigm. This text develops the conceptual basis for a variant form of enterprise architecture that can be used to enact improved target architectures for organizations whose characteristics would otherwise render them “unmanageable” from the perspective of conventional EA. The proposed approach of “enterprise meta-architecture” (or EMA) disengages human enterprise architects from the fine-grained details of architectural analysis, design, and implementation, which are handled by artificially intelligent systems functioning as active agents rather than passive tools. The role of the human enterprise architect becomes one of determining the types of performance improvements a target architecture should ideally generate, establishing the operating parameters for an EMA system, and monitoring and optimizing its functioning. Advances in Big Data and parametric design provide models for enterprise meta-architecture, which is distinct from other new approaches like agile and adaptive EA. Deployment of EMA systems should become feasible as ongoing advances in AI result in an increasing share of organizational agency and decision-making responsibility being shifted to artificial agents.

This paper analyses the hybrid flow shop scheduling problem (HFSSP) with subcontracting options and time depending energy costs. While the consideration of energy costs in scheduling has increased considerably in recent years, subcontracting is rarely analysed in scheduling literature. A mathematical MILP formulation is given to define the exact problem and to calculate optimal solutions for small instances. The objective is to minimise the total production costs for internal and external manufacturing including transportation and energy costs. Since, already the general HFSSP is NP-hard the considered problem is difficult to solve to optimality. Therefore, a genetic algorithm (GA) based on a detailed matrix encoding procedure is proposed. To the best of my knowledge this is the first time that a heuristic approach is presented for the considered problem. An algorithm for intelligent swaps to make use of waiting time and a right-shifting procedure to take advantage of time depending energy costs prove to be suitable to improve the performance of the GA significantly. It can be shown that the GA finds nearly optimal solutions in a very short time.

Risk management is an increasingly important process for business entities operating in various industries. The essential problem in effective risk management is an appropriate calibration of the chosen risk model, which makes it possible to get results that are compatible with the feelings of the persons responsible for safety issues in a a given business entity. The paper presents the method of calibration of the risk model on the example of a model intended for hazards related to the technical condition of the railway infrastructure. A set of sample diagnostic recommendations ranked according to their subjectively evaluated validity was used for this purpose. The area of feasible solutions was defined and possible values of weights of accepted criteria were determined through computer simulation based on random number generator.

The laundry services sector in Poland is growing dynamically and currently has around 13,000 enterprises, mainly micro, small and medium size. The increasing competitiveness of this industry, causes more emphasis on solutions that can in-crease the efficiency of laundry processes and thereby strengthen the market position. One of the methods that can be used for this purpose is Lean Six Sigma, aided by specialized computer software. The paper describes the process of professional washing of work clothes, analyze of its losses and according to that presents the implementation of IT solutions to support the implementation of LSS objectives. The main purpose of this article is to present the lean concept based identification of selected sources of losses in the key operational process of the company providing laundry services and to determine the possibilities of their reduction through the use of appropriate IT tools. This paper contains an analysis of the case study in which this system was applied.

Reliability is currently one of the factors affecting the competitiveness of vehicles. Vehicles become highly reliable due to the integrated approach to all stages of their “life cycle”: design, production and operation. The most important for the manufacturer is the warranty service, because this stage is characterized by an increased probability of failure, and the manufacturer takes responsibility for their elimination. The authors propose to take into account the risks of failures of various units, assemblies and systems of the car during the appointment of the warranty period. This study used the statistics of failures received from the dealer and the service network, and from the reliability department of the engine manufacturer. The results of the study show that the use of the proposed methodology will reduce the costs of the truck manufacturer.

In the paper, the problem of limited flexibility of manufacturing companies is discussed. The problem consists in the necessity to manufacture in big lots with respect to long-lasting retooling of machines. This is illustrated on the example of an automotive enterprise. Implementation process of the SMED method (Single-Minute Exchange of Die) is presented. Potential improvements were verified with use of simulation models of basic and auxiliary processes, prepared in the program iGrafx Process for Six Sigma. Combination of the SMED method with simulation tools made it possible to develop a new, more effective standard of retooling. To estimate yearly profit, calculations were made with use of a spreadsheet.

The current operating conditions as well as the development of road and railway transport cause a significant number of dangerous events to be generated on the interfaces of the road and railway systems. This particularly applies to level crossings, as their large quantity (in Poland there are about 14 000 of them) additionally affects the scale of the problem. Such a state requires taking formal actions in the field of risk management in these analyses domains. One of such activities is the development and application of an appropriate risk model for estimating and evaluating the risk of hazards. The analysis of the literature on this issue indicates that in other countries outside Poland, many such models have been developed and applied. This work presents a risk model adequate to the functioning conditions of level crossings in Poland. For its development, generic risk model based on many criteria and integrating the resulting components of the overall risk metrics was used. As part of the developed model, an original set of criteria for estimating the risk of hazards was established and described in detail. The processes of preparing the components of the overall risk metrics that result from the established risk analysis criteria were discussed. Among others, experts’ knowledge, National Reference Value and National Investigation Body reports were used. The final result of the work is the presentation of a formal risk model which meets the requirements for risk estimation and evaluation in the entities of the European Union railway system. The user interface of a program which is a computer implementation of the risk model algorithm was presented. According to the authors of the paper, the developed model is consistent with the knowledge, intuition and experience of people responsible for safety management at level crossings.

Steel industry is subject to significant volatility in its output prices and market demands for different ranges of products. Therefore, it is common practice to invest in various assets, which gives the opportunity to diversify production and generate valuable switch options. This article investigates the incremental benefit of product switch options in steel plant projects. The options are valued using Monte Carlo simulation and modeling the prices of and demand for steel products as Geometric Brownian Motion (GBM). Our results show that the product switch option can generate a significant increase in the net present value (NPV) of metallurgical projects.

The paper presents the results of research on the significance of communication in project teams, especially its behavioral aspects influencing the success or failure of an Information Technology Project (IT project). The holistic approach to the issue of communication, apart from the commonly indicated success and failure factors of such projects, also encompasses such issues as team work culture, its size, the achieved confidence level and mutual kindness. The work presents the current state of knowledge and the results of own research on impact factors in communication quality in IT projects. The authors own work comprised the formulation of research hypotheses related to selected factors influencing IT projects in various economy sectors and next the preparation and conduction of surveys (among project managers, leaders and team members both on the side of service providers and customers) and also proving the presented hypotheses.

The goal of Data Science projects is to extract knowledge and insights from collected data. The focus is put on the novelty and usability of the obtained insights. However, the impact of a project can be seriously reduced if the results are not communicated well. In this paper, we describe a means of managing and describing the outcomes of the Data Science projects in such a way that they optimally convey the insights gained. We focus on the main artifact of the non-verbal communication, namely project structure. In particular, we surveyed three sources of information on how to structure projects: common management methodologies, community best practices, and data sharing platforms. The survey resulted in a list of recommendations on how to build the project artifacts to make them clear, intuitive, and logical. We also provide hints on tools that can be helpful for managing such structures in an efficient manner. The paper is intended to motivate and support an informed decision on how to structure a Data Science project to facilitate better communication of the outcomes.

This paper presents a summary of the level of adoption of different project management tools and approaches in Polish Nonprofit Organisations. It is based on the responses from 133 polish NGOs in March 2018. The results are compared with similar work on International Development projects to define if the level of adoption of PM practices is different in polish nonprofit sector and if there is a difference in the dependence of project management maturity on the internal project success. Various aspects of project management throughout entire project cycle were evaluated: project initiation, project definition, project implementation and project evaluation. The research concludes with several outcomes. Polish NGOs adapted project management practices to the lower extent than International Development projects. Yet, different tools influence the project success comparably. There is a lack of knowledge about project management among polish NGOs, which might be an important reason behind their low performance on international arena. Paper brings also a broad perspective on the level of adoption of different project management tools and practices that was not evaluated before.

Personalisation and profiling are of interest of every entity that deals with clients, users, etc. Profiling may concern interests, preferences, demographics, etc. This study is concerned with the issue of user’s colour preferences emerging from his personality. Connections between outcomes of the survey on the BFI-44 Personality Traits and 8 colours inspired by representations of Plutchik’s Wheel of Emotions were analysed based on responses of 144 respondents. The results were analysed by application of the Apriori algorithm for different personality traits and compared with outcomes of a previous analysis applying linear regression on this data.

The aim of the paper is to present the way of research project planning. The solution is based on chosen agile algorithm - SCRUM with using type-2 fuzzy numbers. The case study of real research project was taken into account to show an exemplary usage of suggested solution.

The selection of leader for academic position in Higher Learning Institution (HLI) involves Multi Criteria Decision Making (MCDM) process. The decision making becomes complicated once it deal with the multiple candidates, multiple conflicting criteria and imprecise parameters. In addition, the uncertainty and vagueness of the experts’ opinion is considered as the prominent characteristics of the problem. This paper proposed an academic multi-criteria succession selection approach using Fuzzy Analytic Hierarchy Process (FAHP). This study consists of three phase’s i.e. academic multi-criteria model development, data collection, successor selection using FAHP and result analysis. The dataset was collected from several assessors in selected HLI based on the proposed multi-criteria model for academic leader. The aims of this study is to determine the best candidate for academic position based on the higher weight obtained by the candidate. The potential academic successor was obtained after analyzing different dataset for the same candidate that evaluated by different assessors. In future, this study attempts to optimize the result in selection process by incorporating with soft computing method such bio-inspired method such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) and etc.

The aims of the article are (1) the identification of factors influencing the households’ willingness to install renewable energy sources (RES) – and to became a prosumer, (2) the estimation which variables have the stronger influence on probability of the RES installation and which have the weaker influence. The prosumers were defined as households who have the RES installation, produce electricity on their own needs, and any surplus is given back to the grid. They have electricity cost balance once a year. There were taken into consideration the factors connected with pro-ecological and pro-effectiveness behaviors such as: sorting rubbish, the utilization of electro-rubbish, switching off the lights, using LEDs, installing and using energy-saving home appliances and so on. The input data comes from the survey research conducted in November and December 2015 within a project “Modelling prosumers’ behaviour on the energy market” funded by the National Centre of Science, by the grant no. 2013/11/B/HS4/01070. It was observed that significant relationships exist between a household’s decisions about the RES installation and (1) using LEDs, (2) installing energy-saving home appliances (A+++), (3) sorting rubbish, (4) washing or ironing at particular times, (5) using eco-options in washing machine, (6) switching off electrical equipment (e.g. computer) if nobody uses. The significance of qualitative variables, which influence a household’s decisions about the RES installation, was verified by the results of logit model.

The article presents the most important changes introduced by the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). The processing of personal data takes place in various spheres of economic and social activity, including public administration. The article presents results of the Computer Aided Web Interview (CAWI) survey that has been conducted among local government administration offices in Poland between March and April 2018. The aim of the research was to determine the degree of preparation of local government administration to implement changes resulting from the GDPR, and to identify sources and forms of support and problems in the implementation of these changes. On the basis of the conducted survey, an assessment the General Data Protection Regulation readiness for local government administration was performed and presented.