Masterarbeit, 2015
88 Seiten, Note: 1,00
This paper explores the adoption of knowledge bases within the enterprise environment, focusing on the drivers of knowledge-base adoption. The study utilizes data from two knowledge management systems operated by Semanta, s.r.o., analyzing the day-to-day interactions of employees with the systems to identify key factors influencing adoption.
Chapter 1: Introduction This chapter introduces the concept of knowledge management and its importance in today's business environment. It highlights the significance of knowledge-base adoption for companies to achieve cost reduction and competitive advantage. The chapter emphasizes the need for employees to be willing to share their knowledge and utilize the corporate information for effective knowledge management.
Chapter 2: Literature Review and Theoretical Background This chapter provides a comprehensive review of existing literature on knowledge-base adoption. It explores three key theoretical frameworks: the Critical Success Factor approach, the Technology Acceptance Model, and gamification. These frameworks serve as the foundation for the study's hypotheses and analysis.
Chapter 3: Design and Elements of Knowledge Bases This chapter delves into the design and key elements of knowledge bases. It discusses the features and functionalities of knowledge management systems and their role in facilitating knowledge creation, sharing, and utilization.
Chapter 4: Hypotheses This chapter presents the research hypotheses that guide the study. The hypotheses explore the relationships between specific factors, such as collaborative activities, gamification, user requests, and company characteristics, and knowledge-base adoption.
Chapter 5: Data This chapter outlines the data sources and collection methods employed in the study. It describes the knowledge management systems used by Semanta, s.r.o., and the data capturing techniques employed to analyze employee interactions with the systems.
Chapter 6: Methodology This chapter details the statistical methods used to analyze the collected data. It introduces the Poisson regression, negative binomial model, zero-inflated negative binomial model, and random effects negative binomial model, highlighting their relevance to the study's objectives.
Chapter 7: Results This chapter presents the findings of the study, focusing on the results obtained for each of the research hypotheses. It analyzes the statistical significance of the relationships identified between the independent variables (factors influencing adoption) and the dependent variable (knowledge-base adoption).
The study focuses on the key concepts of knowledge base, gamification, knowledge-base adoption, and knowledge management system. These terms encompass the primary themes and concepts of the work, including the impact of gamification on knowledge creation and the factors driving adoption within a corporate environment. The research also utilizes JEL Classification codes (J24, O15, O34, O35, O52) to categorize its focus areas.
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