Business Management

ISSN: 0861-6604-Print Edition
ISSN: 2534-8396-Electronic Edition

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  • Stanimira Yordanova, Kliment Toshkov
    AN AGILE METHODOLOGY FOR MANAGING BUSINESS PROCESSES IN AN IT COMPANY
    JEL: M15, C88.
    Keywords: agile methodologies, Scrum, Kanban.
    Abstract: Agile methodologies embrace project management methods, techniques and tools that seek to continuously improve products; ensure the agility of project scope, performance of self-organizing teams and the release of quality products. Scrum and Kanban are two of the most popular agile methodologies which IT companies use to develop software products and improve the management of their business processes. The aim of this paper is to suggest an agile methodology that combines Scrum and Kanban elements and techniques. The methodology has been deployed in the Customer Service Department of an IT company in order to improve team management and optimize the performance of the department. In result of employing the suggested agile methodology to the management of business processes in the department, a high degree of awareness about the progress of ongoing tasks has been achieved.
  • Stanimira Yordanova, Kamelia Stefanova
    MAJOR TECHNOLOGIES AND PRACTICAL ASPECTS OF THE DIGITAL TRANSFORMATION OF BUSINESS IN A BIG DATA ENVIRONMENT
    JEL: O33, C88.
    Keywords: big data, digital transformation, big data technologies
    Abstract: In contemporary business development, digital transformation has become a major challenge to big data management. In an environment of increasing volumes of data, the major factors that are crucial to business development relate to big data processing and analysis. Open-source data processing technologies employ an innovative approach to the design of data processing and data analytics tools in cooperation among developers, which ensures the transparency, accessibility and continuous improvement of those tools. The main objective of this article is to review popular open-source technologies for big data processing and identify trends in employing big data in business applications.

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  • Editor in chief: Prof. Mariyana Bozhinova, PhD
  • Co-editor in chief: Prof. Krasimir Shishmanov, Ph.D.