Ümit Güfte Peköz’s research while affiliated with Comenius University Bratislava and other places

The objective of this research study is to examine the application and acceptance of knowledge management (KM) tools and methodologies in CEE BPO service centers. The research will employ a case study research design with embedded units to investigate how competitiveness is understood and reflected in management decision-making and operational practices within BPO centers. The study aims to provide insights to team members, particularly decision-makers and managers in the CEE region, by highlighting the current situation and future potential for sustainable competitive advantage. The study found that language skills, especially in the customer's mother tongue, are crucial for delivering high-quality service. Additionally, the research revealed that an attractive legal framework that supports personal leasing for center operations, along with taxation benefits for service centers in the EU zone, is common practice to control personnel costs and make the region appealing for service center establishment. Center managers face the challenge of balancing innovation creation activities with the pressure to deliver efficient services in terms of cost, resources, and quality.

Business process outsourcing (BPO) has proven to be a valuable solution for addressing business challenges, ensuring flexibility and agility. However, the growing average salaries in the CEE region and the developments in online collaborative technologies have enabled low-cost Far East countries to offer competitive service solutions to Western BPO customers. This study explores the innovation potential of establishing knowledge management (KM) practices in CEE BPO service centers, helping them ensure sustainable competitiveness in the global BPO market. The implementation methodology for this study is a single qualitative exploratory case study research design with embedded units. The study aims to discover how KM tools and methods are applied and accepted within CEE service center management for KM as an innovation and competitive advantage enabler. KM-oriented HRM strategies and practices have been found to motivate and encourage people to participate and contribute to knowledge sharing, identification, generation, capturing, enriching, reusing, and creating value.

Data collection and processing through out product life-cycle can help producers to identify the usage patterns to design, redevelop their products to meet customer needs, and also to achieve higher efficiency in production process. This paper is to demonstrate the importance of the product usage data collection and processing for the future enterprise and to highlight the technical challenges in data analyzing. The Big Data processing and analyzing can bring also risks to the individuals, such as privacy threads. It is the aim of this paper to show briefly the Big Data consequences for a private person and to review existing technical privacy protection methods. It is worth to compare state-of-art data anonymization techniques with each other to show the privacy challenges in Big data. The limitation in the findings is that each technique can have its special application area and running a full comparison can be not possible.