Advanced Quantitative Research Methods for International Business

Description

The module aims to provide participants

·  a systematic understanding of quantitative research methods including research designs, data collection and analysis

·  a conceptual understanding which enables them to analyse and evaluate published research;

·  the ability to apply quantitative research methods to your own research projects.

Learning Outcomes

By the end of this module, participants should have a knowledge and understanding of:

·  Relevant quantitative techniques used in International Business research

·  Statistical data and their manipulation and presentation by verbal, graphical, mathematical, statistical and econometric means

By the end of this module, participants should be able to:

·  Apply theoretical and quantitative methods to the analyses of international business problems

·  Conduct individual assignments and perform effectively in a group environment by demonstrating leadership and team-building qualities

·  Demonstrate a logical argument, analyse and interpret data and evaluate alternative perspectives on the basis of objective reasoning

·  Communicate and present complex arguments in oral and written form with clarity and succinctness

·  Present, interpret and analyse information in numerical form

·  Utilise effectively statistical and other packages, particularly Stata

Course Structure

The structure of the teaching will vary between lectures and workshops.

Lecture topic / Key issues
Introduction to advanced research methods in International Business / ·  Why do research and the ‘so what?’ question
·  Approaches to international business research
·  Overview of the research process
Quantitative research / ·  Using quantitative methods
·  Time series analysis
·  Cross-sectional analysis
·  Panel data analysis
·  Limited dependent variables
Critically reviewing literature / ·  How to find relevant literature and secondary data
·  How to assess the usefulness of the literature and secondary data
·  Critically reviewing papers
·  Correct referencing and avoiding plagiarism
Research Philosophy / ·  Matching research methods to research questions

Textbooks

Angrist, Joshua & Jorn-Steffen Pischke (2008) Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton University Press.

Blumberg, Boris, Cooper, Donald R. & Schindler (2005) Business Research Methods. McGraw-Hill.

Baum, Christopher F. (2006) An Introduction to Modern Econometrics Using Stata. Stata Press.

Greene, William H. (2012) Econometric Analysis. Pearson. (OR any other edition, older or newer, is fine)

Recommended Reading

Topic 1: Introduction – Research process, data and methods

Blumberg et al. chapters 1 & 2

Buckley, Peter J. (2002) “Is the international business research agenda running out of steam?” Journal of International Business Studies 33(2): 365-73.

Peng, Mike W (2004) “Identifying the big question in international business research” Journal of International Business Studies 35:99-108.

Yang, Z., Wang, X., & Su, C. (2006) “A review of research methodologies in international business” International Business Review 15: 601-617.

Bono, Joyce E. & McNamara, Gerry (2011) “Publishing in AMJ Part 2: Research Design” http://aom.org/Publications/AMJ/Author-Resources.aspx

Topic 2: Quantitative research I – Basics

Angrist & Pischke chapter 2

Baum chapters 1-6, 8, 19

Greene part I

Topic 3: Quantitative research II – Cross-sectional and survey analysis

Blumberg et al. chapters 6, 7, 11, 12

Greene part IV

Chang, Sea-Jin, van Witteloostuijn, Arjen Lorraine, Eden (2010) “From the Editors: Common method variance in international business research” Journal of International Business Studies 41: 178–184.

Wang, Jue, Liu, Xiaming Li, Xiaoying (2009) “A Dual-role typology of multinational subsidiaries”, International Business Review 18(6): 578-591.

Topic 4: Quantitative research III – Time series and panel data analysis

Baum chapter 9

Greene part V

Fildes, Robert, Ismail, S. & Wei, Y. (2010) “Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures” International Journal of Forecasting, forthcoming.

Liu, Xiaming, Wang, Chengang & Wei, Y. (2009), ‘Do Local Manufacturing Firms Benefit from Transactional Linkages with Multinational Enterprises in China?’ Journal of International Business Studies 40(7): 1113-1130.

Topic 5: Quantitative research IV – Limited dependent variables

Baum chapter 10

Greene part IV

Wei, Y., Liu, Bo & Liu, Xiaming (2005) “Entry modes of foreign direct investment in China: A multinomial logit approach” Journal of Business Research 58(11): 1495-1505.

Topic 6: Critical literature review, writing up and publish or perish?

Blumberg et al. chapter 13

Gans, Joshua S. & Shepherd, George B. (1994) “How are the mighty fallen: Rejected classic articles by leading economists”, Journal of Economic Perspectives 8(1): 165-179.

Grant, Adam M. & Timothy G. Pollock (2011) “Publishing in AMJ Part 3: Setting the Hook” http://aom.org/Publications/AMJ/Author-Resources.aspx

Sparrowe, Raymond T. & Kyle J. Mayer (2011) “Publishing in AMJ Part 4: Grounding Hypotheses” http://aom.org/Publications/AMJ/Author-Resources.aspx

Zhang, Yan (Anthea) & Jason D. Shaw (2012) “Publishing in AMJ Part 5: Crafting the Methods and Results” http://aom.org/Publications/AMJ/Author-Resources.aspx

Geletkanycz, Marta & Bennett J. Tepper (2012) “Publishing in AMJ Part 6: Discussing the Implications”, http://aom.org/Publications/AMJ/Author-Resources.aspx

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