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Jerzy Kisielnicki

Information and Knowledge Management as a New Phase in Management Theory Development

The article presents the following hypothesis: currently we are witnessing a creation of a new management concept in organizational science and management. This concept, which was created after the system concept, can be called the information or knowledge management concept. It was created and is developing due to the development of IT (Information Technology). It is the result of a certain need connected with the development of management science and progress in economical sciences and IT technologies. Problems of electronic economy, the most dynamically developing branch of global economy, require quite a different approach than in current management methods. Therefore the development of this concept is linked with the development of IT and management methods connected with it.

Open access

Jerzy Kisielnicki

Abstract

Implementation of R&D projects determines whether the organization is changing and becoming fully competitive. R&D projects are the basis for innovation policy at the macro level - the state - and the micro level - the organization. Management of R&D projects requires not only high level of skills, but knowledge of highly developed tools to support the development of the organization. In managing this type of project, methods such as management competence, talent and knowledge, knowledge of modern information, and communication technology, stand out. In this study the following issues are presented: analysis of decision-making processes of R&D projects, basic modeling methodology of R&D projects, and analysis of communication systems in project management. The final part of the article presents the problems of commercialization of results obtained from R&D projects.

Open access

Jerzy Kisielnicki and Anna Maria Misiak

Abstract

The global Business Intelligence (BI) market grew by 7.3% in 2016 according to the Gartner report (2017). Today, organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term for data analytics - Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However, traditional methods are not efficient for changing business needs. Long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements at the end of the project. This article presents the latest market trends in BI systems implementation by comparing agile with traditional methods. It presents a case study provided in a large telecommunications company (350 BI users) and the results of a pilot research provided in the three large companies: media, digital, and insurance. Both studies prove that agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach.