Drivers of knowledge base adoption. Analysis of Czech corporate environment

Table of Contents

Chapter 1

Introduction

Chapter 2

Literature Review and Theoretical Background

2.1 Critical Success Factor approach

2.2 Technology Acceptance Model

2.3 Gamification

Chapter 3

Design and Elements of Knowledge Bases

Chapter 4

Hypotheses

4.1 Hypothesis #1

4.2 Hypothesis #2

4.3 Hypothesis #3

Chapter 5

Data

5.1 Knowledge Management Systems

5.2 Capturing the Data

5.3 Data for the First Hypothesis

5.4 Data for the Second Hypothesis

5.5 Data for the Third Hypothesis

Chapter 6

Methodology

6.1 Poisson Regression and Negative Binomial Model

6.2 Zero-Inflated Negative Binomial Model

6.3 Random Effects Negative Binomial Model

6.4 Testing

Chapter 7

Results

7.1 Results for the First Hypothesis

7.2 Results for the Second Hypothesis

7.3 Results for the Third Hypothesis

Chapter 8

Conclusion

Research Objectives and Themes

This study investigates the drivers of knowledge-base adoption within corporate environments by analyzing employee interactions and collaboration. It specifically addresses how co-worker activities, the implementation of gamified elements, and the support from system experts influence the creation of content and the seeking of information in internal knowledge management systems.

• Analysis of collaborative employee activities (e.g., page visits, comments, and thanks) on knowledge creation.
• Evaluation of gamification tools, such as leader-board-based "Hall of Fame" systems, on user motivation.
• Assessment of the impact of expert responsiveness and the number of experts on knowledge-seeking behavior.
• Comparison of adoption drivers between large corporations and smaller firm environments.

Excerpt from the Book

Chapter Summaries

Chapter 1: Introduction: Provides an overview of the importance of knowledge management as a strategic intangible asset and defines the core components of knowledge-base adoption.

Chapter 2: Literature Review and Theoretical Background: Discusses established approaches like the Critical Success Factor method, Technology Acceptance Model, and the emerging concept of gamification in knowledge management.

Chapter 3: Design and Elements of Knowledge Bases: Describes the technical structure of the analyzed systems and the specific functional elements that facilitate user collaboration.

Chapter 4: Hypotheses: Outlines the three main research hypotheses regarding content creation, gamification, and knowledge-seeking behaviors.

Chapter 5: Data: Details the extraction methodology and statistical characteristics of the datasets collected from Semanta’s knowledge management systems.

Chapter 6: Methodology: Specifies the econometric models used for analysis, including negative binomial and zero-inflated regressions for handling overdispersion and excess zeros.

Chapter 7: Results: Presents the empirical estimation outcomes and interprets the impact of identified drivers on adoption metrics.

Chapter 8: Conclusion: Summarizes the key findings and provides recommendations for management and future research directions.

Keywords

knowledge base, gamification, knowledge-base adoption, knowledge management system, corporate environment, content creation, collaboration, econometric analysis, negative binomial model, employee interaction, expert support, system adoption, intra-company communication, user motivation, knowledge seeking.

Frequently Asked Questions

What is the primary focus of this research?

The work explores the factors that drive employees to adopt and actively contribute to corporate knowledge management systems, focusing specifically on intra-company interactions.

What are the main research themes covered?

The study examines three core pillars: collaborative co-worker activities, the influence of gamification elements (like leader-boards), and the effectiveness of expert-led support mechanisms in knowledge seeking.

What is the main research question or goal?

The primary goal is to identify and estimate the drivers of knowledge-base adoption, filling a literature gap regarding intra-company adoption processes.

Which scientific methods are employed?

The authors use panel data analysis and various econometric models, including Poisson regression, zero-inflated negative binomial models, and random effects negative binomial models, to handle statistical challenges like overdispersion.

What is covered in the main body of the paper?

The main body details the theoretical background of knowledge adoption, describes the specific system design elements, defines the research hypotheses, explains the data extraction from Semanta’s systems, and reports the regression results for the three hypotheses.

How would you characterize this paper with keywords?

Key terms include knowledge management, gamification, econometric modeling, adoption, corporate knowledge bases, and employee collaboration.

How does the "Hall of Fame" impact content creation?

The study shows that using gamified tools like the "Hall of Fame" leader-board, particularly for users who successfully achieve positions, has a positive influence on content generation compared to scenarios where such tools are not utilized.

Does company size influence the results?

No, the findings suggest that the drivers for knowledge-base adoption remain largely consistent regardless of whether the system is deployed in a small company or a large corporation.