2015-05-22 Deep dive Seminar with JP Hahn - 연세대학교 정보대학원 수업내용

2015-05-22 Deep dive Seminar with JP Hahn - 연세대학교 정보대학원 수업내용

시뮬레이션 설계 단계에서 프로그래머나 설계자의 선택이 들어가게 되기 때문에 선천적인 결점이 있는 것이 아닌가.

 

 

 

Deep Dive(Model part)

# HL14

The Complex Effects of Shared Domain Knowledge on IS Development: A Simulation-Based Theory Development

 3. A MODEL OF INFORMATION SYSTEMS DEVELOPMENT AS LANDSCAPE SEARCH

 -  NK fitness landscapes model (Kauffman 1993)

  -- . The NK fitness landscapes model is most appropriate when organizational adaptation can fundamentally be conceptualized as design problem solving (Davis et al. 2007);

NK 모델은 가장 적절한 모델이다. 조직적 수용이 근본적으로 개념화 될 수 있을 때 문제 해결에 있어서.

  3.1. The NK Fitness Landscapes Model

The NK fitness landscapes model is an analytical framework for studying adaptive behaviors (Kauffman 1993) NK 모델은 수용적 행동에 대한 분석적 프레임워크다.

the researcher must specify two primary modeling constructs – 1) the problem space, and 2) the agent’s behavioral rules for goal-directed adaptation. 반드시 2가지 모델링 구조를 구체화 해야한다. 1) 문제 공간 2) 에이전트의 행동 규칙들 목표 지향적인 수용을 위한. 

 

# HLH13

A Theoretical Framework for Requirements Research: A Complex Adaptive Systems Approach using the NK Fitness Landscapes Model

 3. THE NK FITNESS LANDSCAPES MODEL AS A THEORETICAL FRAMEWORK FOR STUDYING RE

In the NK fitness landscape model, an agent (e.g., an RE team) is conceptualized as operating in an environment or problem space involving N decision variables and K interdependencies among these decision variables. NK 피트니스 풍경 모델에서 에이전트는 개념화 된다 운영되는 환경 혹은 문제 공간으로 N 결정편수들과 K 상호의존성들 사이에서.

 

# HM12

The Effectiveness of IT-Enabled Knowledge Management: Is Knowledge Sharing Sufficient?

 3. A Computational Model of Organizational Knowledge Work

  3.1. Knowledge Work and Organizational Structure

  3.2. Individual’s Decision Making Process

  3.3. Choice of External Knowledge Source

  3.4. Organizational Decision Making Process

  3.5. Organizational Knowledge Culture

 

# MHOK14

LEADER INFLUENCE ON SUSTAINED PARTICIPATION IN ONLINE

COLLABORATIVE WORK COMMUNITIES: A SIMULATION-BASED APPROACH

 3. SIMULATION MODEL AND EXPERIMENTAL DESIGN

 3.1. Research Approach: Agent-Based Modeling and Simulations

analytical frameworks and tools from the complexity sciences (e.g., complex adaptive systems, fitness

landscapes, computational modeling, self-organization / stigmergic systems etc.) can be brought to bear

on a diverse set of complex organizational and management problems (Anderson et al. 1999). complexity sciences에서 유래한 분석적 프레임워크와 도구들은 복잡한 조직적 그리고 관리상의 문제들에 힘써왔다.

 

3.2. Modeling OCWCs’ Environmental Factors

# SH10

IMPACT OF ONLINE WORD-OF-MOUTH ON THE MARKET FOR CONSUMER GOODS –

THE INTERPLAY BETWEEN ADOPTION RATE, PRODUCT MARKET LIFE AND MARKET

SIZE

 - Modeling Consumer Adoption with Online Referral Networks

We use cellular automata (CA) as the simulation approach to study the impact of enlarged reach

of online referral networks on consumers’ adoption behaviors (Davis et al. 2007)

샐룰러 오토마타 기법은 적절하다 긴급한 매크로 레벨의 시스템 패턴을 연구하는 데에.

CA models are appropriate for studying the emergence of macro-level system patterns (e.g., diffusion, propagation, competition etc.) from micro-level interactions of spatially related semi-intelligent agents (Wolfram 2002)

 

# YH14

The Role of Project Modularity in Information Systems Development

 - A Model of ISD as Design Problem Solving

The model setup requires the specification of four features: (1) the representation of a project’s

performance (fitness) landscape; (2) the various modular design choices; (3) the process of the ISDM

applications; and (4) the process of adaptation on the landscape.

 - Modeling the Project’s Performance Landscape

The agents’ (ISD teams’) adaptive behaviors are modeled as incremental experiential search. For the agile

development process