Knowledge management (KM) is an interdisciplinary subject, which includes knowledge identification, creation, acquisition, distribution, sharing and usage. It employs tools, techniques, and theories from manifold areas such as strategic planning, change management, business process management, innovation management, human resource management, IT and others. Effective and efficient decision making is one of the main goals of knowledge management in the context of business administration. Good decisions are also an outcome of data analysis and information management. So, methods and practices of decision making represent demand side of information and knowledge management.
The track welcomes contribution from any relevant arena: academia, business, or non-profit organizations. Research related to emerging markets is especially encouraged; it can be related to firms from emerging markets and to international firms operating in these regions.
Accordingly, this track invites research that addresses (but not limited to) the following topics:
Knowledge and information management·
Knowledge mapping·
KM strategy·
Knowledge-based strategies·
Innovation management·
Learning Organization & Organizational Learning·
Implementation of KM tools (Communities of practice, Expert networks, Lessons Learned systems etc.)·
KM maturity models·
Impact Measurement of Knowledge Management·
Business applications of artificial intelligence (AI) and Big data·
Business applicational of ontology engineering and semantic technologies·
Data governance·
Information and knowledge management (IKM) in supply chains, finance, marketing, HR, strategy, and business transformation
Decision making and data analytics:·
Big data analytics for decision making·
Decision modeling (e.g. decision model and notation, decision tables, decision trees)·
Decision making in VUCA world (under Volatility, Uncertainty, Complexity and Ambiguity)·
Decision support systems ·
Business intelligence·
Data-driven decision making·
Problem structuring methods·
Behavioral economics of decision making (biases etc)·
Knowledge management perspective for decision making·
Decision-making in supply chains, finance, marketing, HR, strategy and business transformation
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