Knowledge Management in Organizations: 9th International Conference, KMO 2014, Santiago, Chile, September 2-5, 2014, Proceedings [Paperback]

This book contains the refereed proceedings of the 9th International Conference on Knowledge Management in Organizations (KMO) held in Santiago, Chile, during September 2014. The theme of the conference is Knowledge Management to Improve Innovation and Competitiveness through Big Data.

The KMO conference brings together researchers and developers from industry and academia to discuss and research how knowledge management using big data can improve innovation and competitiveness.

The 39 contributions accepted for KMO 2014 were selected from 89 submissions and are organized in sections on: big data and knowledge management, knowledge management practice and case studies, information technology and knowledge management, knowledge management and social networks, knowledge management in organizations, and knowledge transfer, sharing and creation.

Part Big Data and Knowledge Management.- Genetic Algorithms and Game Theory for Airport Departure Decision Making: GeDMAN and CoDMAN.- Big Data in Land Records Management in Kenya: A Fit and Viability Analysis.- Big Data Analytics: A Threat or an Opportunity for Knowledge Management?.- Open Data and Big Data: A Perspective from Colombia.- Part Knowledge Management Practice and Case Studies.- Managers Interactions and Their Effect on Productivity: A Case Study of a Product Design Organization.- Identification of Motivational Factors Influencing the Return of Researchers Focusing on Slovak Environment.- Developing Startup Ecosystem in Small Cities: Case of }ilina and Leipzig city.- Knowledge Management Model as a Factor of Educative Quality: Towards an Excellence Model.- Antecedents of Empowerment and Commitment to Service Quality in the Chinese Hotel Industry.- Developing Data Analytics to improve Services in a Mechanical Engineering Company.- Predicting Grades Based on Student Online Course Activity.- What Government Subsidiary Projects Can Learn from Each Other: The Case l³l