Knowledge and complexity perspective of human capital management
“ Add your company slogan ” Knowledge and Complexity perspective of Human Capital Management Amjad Fayoumi Pericles Loucopoulos School of business and economics, Loughboroguh University LE11 3TU, Leicestershire , UKThe 10th IAMB 2011 Conference June 20 -22, 2011, Istanbul, Turkey LOGO
Contents1 Research Scope2 Knowledge Management3 Complexity Approach4 Social Network Analysis5 Comparison
Research Scope Organization studies applied different methodologies trying to understand organizational and social behavior. Complexity science have been applied to organizational behavior studies. Knowledge management is cross functional paradigm, currently widely adopted and accepted from academic and industrials practitioners. The goal is to understand the optimum configuration of organization, allow maximizing competitive advantages.
Complexity Perspective In [ McKelvey B, 1999] proposal of four driving forces of complexity: Adaptive tension, Self-organization, Interdependency effects, and Multilevel coevolution. The “melting” zone (Kauffman, 1993). His spontaneous order creation begins when three elements are present: (1) Heterogeneous agents; (2) Connections among them; and (3) Motives to connect .
Agent abstraction Environment Role Agent Group Rules.. Ontology… … Process … Goal
Knowledge management (KM) Knowledge management defined as: the Management function responsible for the regular selection, implementation and evaluation of goal-oriented knowledge strategies that aims at improving an organization’s way of handling knowledge internal and external of the organization in order to improve organizational performance (Maier R., 2006).
KM Perspective The social dimension covers many sub sections such as: Culture, People and Leadership.Knowledge can be implicit or explicit, individual or collaborative.No matter what the definition of knowledge is, the most important aspects that organizations should take into account are: General Knowledge of each and every process or activity that takes place in the company or organization. The status of these activities in the business and when do they become best practices of the business? Data linked to the company that can be transferred to useful information and then to knowledge.
KM has Different Processes Process 1 Process 2 Process 3Nonaka’s Mod., 1995. KM Lifecycle Alavi, M., Decision Execution and Leidner E., Cycle (DEC),1- Socialization (Firestone, 2000). D., 2001)(tacit to tacit) 1- Knowledge2- Externalization Creation 1- Monitoring(tacit to explicit) 2- Knowledge 2- Evaluating3- Combination: Storage 3- Planning &(explicit to explicit) 3- Knowledge Decision Making4- Internalization Sharing 4- Acting(explicit to tacit) 4- Knowledge Utilization
Social Network Analysis Social network analysis (SNA) is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. both micro and macro structures of social networks analyze relationships between individuals, positions, groups, communities or organizations.
Grouping Perspectives in SNA 1 2 3 Structured order Categorical order Personal order This perspective is used to This perspective is used to This perspective is used to interpret the individual interpret the intended interpret the individual behavior as an action behavior as a social behavior as depending on appropriate for the position stereotype of class, race, personal relationship to that individual holds. In ethnic group etc. other individuals and knowledge management moreover, on the this perspective stands for “transitive” relationships the formal structural which these “other organization. individuals” have in turn, this can directly be applied to knowledge management.
KM related scenario network analysis Advice networksCompetition network Trust networks Communication networks
Knowledge complexityKnowledge interaction model flow External environment & global adaptation and evolving rules Internal Evolving rules for creating Organizational Social system wisdom and system distributed Agents & Organizational intelligence Their cultural structure, culture background and behavior. Roles Task requirements Capacity Task complexity Performance Management style Modes Leadership Motivation Constraints Relations Information systems To support knowledge lifecycle of creating, storing, sharing and applying the knowledge needed from particular agent to perform specific task
Comparison Main CharacteristicsCS KM- Agent Oriented -Process Oriented- Distributed - OrganizationalIntelligence learning- Self-organizing -Learning- Adaptive tension -Collaboration- Emergent - Knowledge lifecycle is- Agent as a focus the focus
Future Work Comprehensive Model Critical Success FactorsFuture Work Integrated Methodology Case Study Evaluation & Communication