網路策略:方法與應用

Network Strategies: Method and Applications

學期

108-1

學分

3 學分

當期課號

5566

永久課號

IBM6176

開課單位

經營管理研究所

授課教師

姜真秀

類別

選修

上課時間表

節	週二
A 18:30–19:20	網路策略:方法與應用 TD 3 節連堂
B 19:30–20:20
C 20:30–21:20

* 根據陽明交大上課時間表所列

概述

Course Description As industry boundaries are blurred and firms are interconnected more than before, network perspective has become very attractive to management academics and practitioners as a means to achieve competitive advantages. Thus, the objective of this course is to familiarize students with the theory, research and methodological issues connected with social network analysis in organizational contexts. Objectives/Goals  Enhance students’ understanding of theory, research and methodological issues connected with social network analysis for a firm’s strategy development;  Examine practical implications of the research.

先修科目

You may not require having high-level of math, but, at least you shouldn’t be scared of dealing with numbers and using software.

教學方式

* All the class materials will be uploaded at http://dcpc.nctu.edu.tw/

評分方式

Assessment Attendance & participation1 20 % Assignment2 50 % Group Poject3 30 % Total 100 % Notes: 1. Attendance and participation in lectures throughout the course are mandatory. Students are required to report to the instructor of this course of the reasons of failure to attend classes. Students are also required to well prepare to comment and raise questions in discussion session of this course. One absence is allowed during the semester. 2. Data analysis 3. To be announced.

課程大綱

Analyze industry
Application
Software
Network properties

週次計畫

週次	主題
第 1 週	• Course introduction • Introduction to Social Network Analysis o Kilduff, M., and D. J. Brass 2010. "Organizational Social Network Research: Core Ideas and Key Debates." Academy of Management Annals. 4:317 - 357. o Borgatti, S. P., A. Mehra, D. J. Brass, and G. Labianca 2009. “Network Analysis in the Social Sciences.” Science, 323: 892–895.
第 2 週	Social Network Analysis Basics
第 3 週	Visualization workshop • Chapter 4: Getting Started with NodeXL, Layout, Visual Design, and Labeling • Assignment #1 (Due: 10/11 midnight)
第 4 週	Relations as ties • Granovetter, M. 1973 “The Strength of Weak Ties.” American Journal of Sociology, 78: 1360–1380. • Rivera, M. T., S. B. Soderstrom, & B. Uzzi 2010. “Dynamics of Dyads in Social Networks: Assortative, Relational, and Proximity Mechanisms.” Annual Review of Sociology, 36: 91–115. • Ingram, P. and M. W. Morris 2007 “Do people Mix at Mixers? Structure, Homophily, and the ‘Life of the Party.” Administrative Science Quarterly, 52: 558–585. (Optional)
第 5 週	Relations workshop • Chapter 5: Calculating and Visualizing Network Metrics • Chapter 6: Preparing Data and Filtering • Assignment #2 (Due: 10/25 midnight)
第 6 週	Individuals in networks • Burt, R. S., M. Kilduff, and S. Tasselli. 2013 “Social Network Analysis: Foundations and Frontiers on Advantage.” Annual Review of Psychology, 64: 527–547. • Sparrowe, R. T., S. J. Wayne, R. C. Liden, and M. L. Kraimer 2001 “Social Networks and the Performance of Individuals and Groups.” Academy of Management Journal, 44: 316–325. • Burt, R. S. 2004 “Structural Holes and Good Ideas.” American Journal of Sociology, 110: 349–399. (Optional)
第 7 週	SNA Analysis Workshop • 7. Clustering and Grouping • 8. Email: The Lifeblood of Modern Communication • Assignment #3 ((Due: 11/8 midnight)
第 8 週	Midterm
第 9 週	Social capital • Nan Lin. 2001. “Building a Network Theory of Social Capital,” in Nan Lin, Karen Cook, and Ronald Burt, Social Capital: Theory and Research. • Burt, Ronald. 1997. “The Contingent Value of Social Capital.” Administrative Science Quarterly 42: 339-365. • P. S. Adler and S-W Kwon. 2002. “Social capital: Prospects for a new concept.” Academy of Management Review 27(1): 17-40. • W. Tsai & S. Ghoshal. 1998. “Social capital and value creation: The role of intrafirm networks.” Academy of Management Journal 41(4): 464-476.
第 10 週	Analyzing data workshop • 12. Visualizing and Interpreting Facebook Networks • Assignment #4 (Due: 11/28 midnight)
第 11 週	Network research design and collection of data • Borgatti et al., Chapter 3: Research design, Chapter 4: Data collection, Chapter 15: Ego Networks • Robins, G. 2015. Doing Social Network Research: Network-based Research Design for social Scientists. Sage. Chapter 7 pp. 149-160. • Research Design Workshop • Network Research Proposal: Bring your research question.
第 12 週	Analyzing data workshop • 14. YouTube Contrasting Patterns of Content, Interaction, and Prominence • Assignment #5 (Due: 12/13 midnight)
第 13 週	Groups and Whole Networks • Burt, R. S. 1987. “Social Contagion and Innovation: Cohesion versus Structural Equivalence.”American Journal of Sociology 92: 1287-1335. • Cattani, G. and S. Ferriani 2008. “A Core/Periphery Perspective on Individual Creative Performance: Social Networks and Cinematic Achievements in the Hollywood Film Industry.” Organization Science, 19: 824–844. • Milgram, S. 1967. "The Small World Problem." Psychology today 2:60-67.
第 14 週	R SNA Basics workshop
第 15 週	Analyzing network data • Kleinbaum, A. M. 2012. “Organizational Misfits and the Origins of Brokerage in Intra-Firm Networks.” Administrative Science Quarterly, 57: 407–452. • Sasovova, Z., A. Mehra, S. P. Borgatti, and M. C. Schippers 2010. “Network Churn: The Effects of Self-Monitoring Personality on Brokerage Dynamics.” Administrative Science Quarterly, 55: 639–670.
第 16 週	Exponential Random Graph Models (ERGM) • Rank, O. N., G. L. Robins, and P. E. Pattison 2010. “Structural Logic of Intraorganizational Networks.” Organization Science, 21: 754–764. • Brashears, M. E. and E. Quintane 2015. “The microstructures of network recall: How social networks are encoded and represented in human memory”, Social Networks, 41: 113-126.
第 17 週	ERGM Workshop • Lusher, D., Koskinen, J., & G. L. Robins 2013. Exponential Random Graph Models for Social Networks: Theories, Methods and Applications. Structural Analysis in the Social Sciences Series. New York: Cambridge University Press. PP 14-70
第 18 週	Group Presentation

教科書

• Hansen, Derek, Ben Shneiderman, and Marc A. Smith. Analyzing social media networks with NodeXL: Insights from a connected world. Morgan Kaufmann, 2010. • Other readings mentioned in the syllabus will be provided through e-campus.

Office Hours

地點: Hsinchu: Management Building II, 203 Or Taipei Campus after class
時間: By appointment
聯絡方式: jinsu.kang@g2.nctu.edu.tw