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Über dieses Buch

This book constitutes extended selected papers from the 15th Conference on Advanced Information Technologies for Management, AITM 2017, and the 12th Conference on Information Systems Management, ISM 2017, held as part of the Federated Conference on Computer Science and Information Systems, FedCSIS, which took place in Prague, Poland, in September 2017.
The 13 papers presented in this volume were carefully reviewed and selected from 48 submissions. They were organized in topical sections named: information technology and systems for knowledge management; information technology and systems for business transformation; and implementation and evaluation of information systems.

Inhaltsverzeichnis

Frontmatter

Information Technology and Systems for Knowledge Management

Frontmatter

Conceptualization of a Value Cocreation Language for Knowledge-Intensive Business Services

Abstract
Knowledge-intensive business services (KIBS) are business-to-business services that are characterized as being knowledge intensive, relying on expert employees, and providing knowledge-based solutions to customers. As a context for service design, KIBS bring unique challenges regarding the need to communicate about value cocreation among companies entering into a service exchange. Unfortunately, until now, there have been limited contributions in the area of modeling languages to support the cocreation of value during business exchanges. In this paper, an abstract language (metamodel) is proposed to support IT designers in understanding value cocreation in the field of IT-related business services. A value creation metamodel is first structured around three dimensions: the nature of the value, the method of value creation, and the business object impacted by the value. Then, value cocreation is modeled as a specialization of the value creation metamodel. This new language is illustrated with a case study related to KIBS in the financial sector.
Christophe Feltus, Lysanne Lessard, François Vernadat, Daniel Amyot, Erik. H. A. Proper

Semantic Approach to Financial Knowledge Specification - Case of Emergency Policy Workflow

Abstract
The article presents an approach to integrate a business process knowledge in Decision Support Systems. The main research findings are related to the ontological and procedural issues of knowledge specification. The mathematical rigor used in process descriptions guarantees for precise definition of concepts and relationships in the domain knowledge. It concerns three major aspects of the system design, i.e. formalization of processes predefined in Business Process Modeling Notation, reuse of a domain ontology, and analysis of economic and financial information. Formally specified analytical processes and ontology allowed considerably minimize sources of ambiguity and confusion in the system design and implementation. The described approach is a continuation of the development of the intelligent cockpit for managers (InKoM project), whose main objective was to facilitate financial analysis and evaluation of economic status of the company. The current work and case studies are focused on specification of static (structural) and procedural knowledge of financial analysis in Small and Medium Enterprises. The content of the knowledge covers essential financial concepts and relationships related to the processes of emergency policy. An experiment has been carried out on real financial data extracted from the financial information system.
Jerzy Korczak, Helena Dudycz, Bartłomiej Nita, Piotr Oleksyk

Ontological Support for Process-Oriented Competency Management

Abstract
Over the last few decades process-oriented approach has become an essential standard for many companies. This situation requires a new outlook on competency management. The competencies of employees should be considered in the framework of tasks implemented within the business process. According to the author’s observations, the greatest challenge is the lack of a consistent view of the overall aspects of human resources in conjunction with business process flow. In particular there is a gap between the process models defined in BPM systems and the competency descriptions defined in HR systems. The aim of this paper is to propose a solution based on a on Software Competence Ontology designed by the author, which can be used to support process-oriented competency management in a software development company. The primary purpose of the solution is to facilitate finding the best contractors to perform the business process tasks. With this purpose in mind a method of comparing candidates’ skills and knowledge was developed. The presented approach can be useful in process-based and virtual organizations where the environment is dynamic and frequent changes are needed to preserve the company’s competitiveness and agility. An example proposal of practical implementation of ontology-enhanced business process model was presented and illustrated by the process of software configuration management.
Ilona Pawełoszek

Use of a Business Process Oriented Autopoietic Knowledge Management Support System in the Process of Auditing an Organisation’s Personal Data Protection

Abstract
A key aspect of the operation of organisations is execution of business processes that take place in them. However, completion of specific tasks requires application of specific knowledge defined by the context of its use. While for an expert in a certain field, using specific knowledge is a natural process, for an IT system designer it requires understanding of the purpose of a business process and places where specific knowledge resources are to be used. This paper addresses the issues of integrating business processes and organisational knowledge in the process of building systems designed to support activities connected with the process of an organisation’s security audit. In particular, it presents the reasons for integration of BPM and KM, elements of a proposed methodology. The main research findings include: analysis of the theory of integration of BPM and KM, presenting the stages of building a business process oriented autopoietic knowledge management support system and development of a prototype of a system to aid in auditing an organisation’s personal data protection.
Mariusz Żytniewski

Information Technology and Systems for Business Transformation

Frontmatter

Data Mining for Positive Customer Reaction to Advertising in Social Media

Abstract
Social media has become a source of large amounts of data that is extremely useful when data are analyzed properly. Data mining is one of the known techniques to analyze data to find hidden information from a large amount of available data without having prior hypotheses. The objectives of this research were to (1) find the most important factors influencing positive reactions from customers after seeing online advertising in social media, (2) find the most important factors influencing purchasing merchandise that are advertised online, (3) identify customer clusters characteristics that have positive reaction after seeing online advertising in social media, and (4) identify customer clusters characteristics that purchase merchandise after seeing online advertising in social media. The sample size of 370 is collected by questionnaires using convenience sampling method. Data mining with cluster analysis is used to analyze data. The findings indicate the characteristics of “product conscious” and “price conscious” clusters for customer’s reaction and purchasing after seeing online advertising in social media.
Veera Boonjing, Daranee Pimchangthong

E-government Usage by Polish Citizens

Abstract
The aim of this article is to present results of the research in the state of usage of basic e-government manifestations by individual users in Poland in 2017. Article presents the results of research on the popularity, use and influence of e-government functions that support their application in reality. Seventeen core e-government functions, most popular among respondents, were selected based on prior consultation as basis of following analysis. Authors conducted the CAWI analysis to evaluate the distinguished e-government functions on a selected sample of university students. A group of over two hundred and fifty randomly selected people from the university environment was examined. This approach was guided by the structure of the article consisting of the presentation of the research hypothesis, the description of the methodology and the research sample, and the analysis of obtained results and their discussion, together with the conclusions. The major findings from this research are in line with other researches carried over in Poland in the area of e-government. Results of 35% share of using e-government systems are similar to 31–33% in other studies. The research proves that the level of electronic services in e-government area in Poland is considerably lower than in most of European countries. The most popular use of digital services is used for taxation purposes. Some revival though can be noted in the social sphere (culture, public opinion, public health services, etc.), the basic problem in using of e-government services is lack of ability to handle the whole matter from start to finish via the Internet. The results can be used by people involved in the creation and development of e-government systems.
Witold Chmielarz, Oskar Szumski

Analyzing Industry 4.0 Models with Focus on Lean Production Aspects

Abstract
Nearly all enterprises have to face enormous challenges when dealing with digitalization topics such as Industry 4.0/Industrial Internet. To support companies to handle these challenges and therefore, to be able to “move” in an Industry 4.0 environment several frameworks or reference models already exist. Within this paper we provide results of a detailed analysis of selected Industry 4.0 models. However, we show that not all models are dealing with this topic in a holistic way but rather focusing on specific aspects or requirements of Industry 4.0. Additionally, we focus in our analysis on lean production aspects since the basic principles of lean management/lean production offer since the 1980s appropriate measures to optimize production and therefore, can be/should be addressed by Industry 4.0 models as well. Hence, it became obvious that those principles are not often addressed in Industry 4.0 models. Despite the fact that those aspects are often seen as a basis for Industry 4.0 implementation this is mostly not integrated in the respective models. Therefore, the contribution of our paper consists of the classification of 31 Industry 4.0 models/frameworks as well as the identification of needs for further research to enhance existing Industry 4.0 models to a more holistic approach.
Christian Leyh, Stefan Martin, Thomas Schäffer

Automation of Privacy Preserving BPMS in Collaborative Cloud-Based Business Processes

Abstract
Collaboration in business environments is an ongoing trend that is enabled by and based on cloud computing. It supports flexible and ad-hoc reconfiguration and integration of different services, which are provided and used via the internet, and implemented within business processes. This is an important competitive advantage for the participating stakeholders. However, trust, policy compliance, and data privacy are emerging issues that result from the distributed data handling in cloud-based business processes. In an earlier paper, we have discussed the requirements that a Business Process Management System (BPMS) should meet in order to enable privacy preserving business process as a service. This paper presents the necessary steps for implementing such a BPMS for an architecture to enable management of privacy-preserving collaborative business process.
Sergei Makarov, Björn Schwarzbach, Michael Glöckner, Bogdan Franczyk, André Ludwig

Synthetic Indexes for a Sustainable Information Society: Measuring ICT Adoption and Sustainability in Polish Enterprises

Abstract
This paper is complementary with two published paper [1, 2] and advances information society research by examining and understanding the information and communication technologies (ICT) adoption in enterprises in the context of the sustainable information society (SIS). Its aim is to propose an approach to the measurement of two constructs shaping SIS, i.e. ICT adoption and sustainability in enterprises. ICT adoption is described by four components, i.e. ICT outlay, information culture, ICT management, and ICT quality, whereas sustainability is composed of ecological, economic, socio-cultural, and political sustainability. This study employs a quantitative approach and, additionally, Hellwig’s taxonomic measure of development is adopted for multivariate comparative analyses to evaluate ICT adoption and sustainability in enterprises. A value of the Hellwig’s synthetic indicator can be in the interval [0, 1] where a higher value of the indicator means that the object is closer to the pattern. The survey questionnaires were used and data collected from 394 enterprises were analyzed. We proposed and calculated five synthetic indexes for measuring ICT adoption, i.e. ICT adoption index and sub-indexes of ICT outlay, information culture, ICT management, and ICT quality as well as five synthetic indexes for evaluating sustainability, i.e. sustainability index and sub-indexes of ecological, economic, socio-culture, and political sustainability. The research revealed that in the largest number of examined enterprises (67%) the levels of ICT adoption and sustainability indexes are at the medium levels, i.e. in the interval (0.39, 0.79]. However, the high levels of ICT adoption and sustainability indexes exceeding value of 0.79 are indicated in, respectively 15.7% and 17.3% of enterprises.
Ewa Ziemba

Implementation and Evaluation of Information Systems

Frontmatter

Small Brazilian Business and IT Governance: Viability and Case Study

Abstract
Small companies have potential to be agile, flexible and informal - this is possible because such companies are usually formed by few members (up to 9 people – statistic average in Brazil). This usually creates more synergy among these professionals because they incline to have more than a single role inside the company. Therefore, it is understandable that those professionals should multi-task, splitting their working hours among different kinds of demands: what may cause difficulties in planning, development, verification, and improvement of internal processes. This article brings a case study where the COBIT 5.0 toolkit (Process Assessment Model) was used to identify internal processes that needed improvement within the studied company. In order to improve the selected processes, ISO/IEC 12207 was tailored concerning company’s needs. Additionally, it was applied a continuous improvement cycle – PDCA and it was also proposed the adoption of an agile method – SCRUM, to integrate internal activities and processes.
Daniel A. M. Aguillar, Isabel Murakami, Pedro Manso, Plinio Thomaz Aquino

Models of Data Quality

Abstract
The research proposes a new approach to data quality management presenting three groups of DSL (Domain Specific Language). The first language group uses concept of data object in order to describe data to be analysed, the second group describes the requirements on data quality, and the third group describes data quality management process. The proposed approach deals with development of executable quality specifications for each kind of data objects. The specification can be executed step-by-step according to business process descriptions, ensuring the gradual accumulation of data in the database and data quality verification according to the specific use case.
Zane Bicevska, Janis Bicevskis, Ivo Oditis

Selecting Project Communication Management Software Using the Weighted Regularized Hasse Method

Abstract
Successful realization of projects in dispersed, multinational teams is a difficult task, because of the communication and collaboration issues which may arise due to scarce personal contact, linguistic problems or less influential leadership. In such an environment, it is particularly important to assist the management of project communication processes with appropriate ICT tools. However, due to the huge number of software products aimed at supporting these processes which are available on the market, it is a challenge to choose the best one for a given project and team. In this paper, a four-stage procedure based on the weighted regularized Hasse matrix is proposed as a way of solving the problem of selecting the most suitable project communication management software for a project having specific requirements.
The proposed procedure involves comparing and ranking candidate tools taking into consideration the importance of multiple functional and non-functional features of the project communication management systems with their respective weights based on the results of a questionnaire conducted among members of a dispersed international project team. As illustrated by the provided example, the proposed procedure effectively leads to a complete ranking of candidate tools without the necessity to perform effort-demanding pairwise comparisons of alternatives or complicated calculations required by other methods (such as AHP or outranking methods). For this reason, the presented findings have vast implications for practice, introducing a convenient way of solving the project communication management software selection problem in the case of many candidate solutions and multiple criteria having distinct weights.
Karolina Muszyńska, Jakub Swacha

Hierarchical Representation of Website Evaluation Model Using Survey and Perceptual Based Criteria

Abstract
The high availability of e-commerce websites which deliver similar services and products, as well as the harsh rivalry between competitors, increased the importance of systematic evaluation of the e-commerce websites’ quality, usability and user experience. Multiple methodologies for performing the evaluation are available, however, they are based mainly on survey data. In our previous research, we introduced perceptual measurements from eye tracker (ET) to the set of evaluation criteria. In this paper, we present an approach based on AHP (Analytic Hierarchy Process) to allow a thorough analysis of the complex structure of criteria and its impact on the final evaluation. Additionally, we combine the AHP outputs with the COMET (Characteristic Objects METhod) technique to build a fuzzy rule base that provides a stable model of the entire domain of evaluation criteria. The results of the conducted empirical verification of the proposed approach are presented and discussed. The main research findings show that the rankings obtained with the presented approach are very stable and the probability of a rank reversal phenomenon is low.
Jarosław Wątróbski, Artur Karczmarczyk, Jarosław Jankowski, Paweł Ziemba, Waldemar Wolski

Backmatter

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