Monday, September 2, 2013

Barriers to Reading Empirical Literature


Doctoral Students’ Perceptions of Barriers to Reading Empirical Literature: A Mixed Analysis 
2010

The perceived barriers toward reading empirical articles among 
graduate students: A mixed methods investigation
Journal of the Scholarship of Teaching and Learning, Vol. 9, No. 3, December 2009, pp. 70 – 86


Guidelines for Reading Empirical Articles

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Quality of Research - An Explanation



Reliability, Validity, Generalizability and Credibility
Graham R. Gibbs

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Sunday, September 1, 2013

Regression Methods for Management Research



Advanced Regression Methods for Management Research

Required Texts:
1. T.A and Campbell, D.T. Quasi-experimentation: design and analysis issues for field settings
2.Wooldridge, J. Introductory econometrics: A modern approach
3. Survival Analysis using the SAS system, P.D. Allison, SAS Institute
Reference:
1. Econometric Analysis, W. Greene
2. Basic Econometrics, D. Gujarati

Session I: So what’s wrong with cross sectional OLS?
• Unobserved heterogeneity & distributional assumptions
• Overview of non-normality, heteroscedasticity, correlated errors, collinearity problems.
Readings:
Chapter 2 Cook, T.A and Campbell, D.T. Quasi-experimentation: design and analysis issues
for field settings

McWilliams, Abigail and Donald, Siegel, (2000), “Corporate responsibility and financial
performance: correlation or misspecification”? Strategic Management Journal, 21(5): 603-609

Session II: Experimental Design: The Gold Standard (May 9)
• The power of randomised assignment and standardized treatments
• ANOVA/ANCOVA

Readings:
Chapter 3, 4 & 8, Cook, T.A and Campbell, D.T. Quasi-experimentation: design and analysis
issues for field settings.

Haunschild PR, Davis-Blake A, Fichman M. 1994. Managerial overcommitment in corporate
acquisition processes. Organization Science 5(4): 528-540.

TBA
Session III: Interactions effects in OLS
• Moderating & mediating effects; Estimation and interpretation
Readings:
Chapters 1-3 from Aiken, L. S. and West, S.G. Multiple Regression: Testing and interpreting
interactions
Baron, R and Kenny, D (1986) The moderator-mediator variable distinction in social psychological research: conceptual, strategic and statistical considerations, Journal of Personality and Social Psychology, 51, 1173-1182

Tsai, W. (2001) Knowledge transfer in intra-organizational networks: Effects of network position and absorptive capacity on business unit innovation and performance, Academy of Management Journal; Oct 2001

Session IV: Limited dependent variable models
• Introduction to ML estimation
• Logit, probit, tobit, poisson and negative binomial regressions

Readings:
Chapter 17 from Wooldridge
Gulati, R., and H. Singh (1998) “The architecture of cooperation: Managing coordination costs and appropriation concerns in strategic alliances.” Administrative Science Quarterly, 43: 781-794.
Ahuja, G. and Katila R. (2001) Technological acquisitions and the innovation performance of
acquiring firms: a longitudinal study , Strategic Management Journal, 2: 197-220

Session VI: Censored observations (June 6th)
• Censoring
• Parametric and non-parametric models for censored data
• Cox regressions
Readings:
Chapter 2, 5 and 9 from Survival Analysis using the SAS system, P.D. Allison , SAS Institute

Morita, J.G., Lee, T.W. and Mowday, R.T. (1993) The regression analog to survival analysis :
a selected application to turnover research, Academy of Management Journal, 36(6) 1430-
1464
Amburgey, T.L., Dawn K. and Barnett, W. (1993) Re-setting the clock: The dynamics of
organizational change and failure, Administrative Science Quarterly, 38 (1): 51-73

Session VII: Adjusting for selection biases
• Instrumental variables and 2-stage least squares.
• Heckman’s correction
Readings:Chapters 15 and 17 from Wooldridge
Berk, R.A. (1983) An introduction to sample selection bias in sociological data, American
Sociological Review, 48: 386-398
Poppo L and Zenger, T (1998) Testing alternative theories of the firm: transaction cost,
knowledge based and measurement explanations for make or buy decisions in information
services, Strategic management Journal, 19 (9): 853-877
Shaver, J.M. (1998) Accounting for endogeneity when assessing strategy performance: does
entry mode affect FDI survival? Management Science, 44(4): 571-585

Session VIII Panel data with continuous dependent variables

• Fixed effects and Random effects
• Specification tests
Readings:
Chapters 13 and 14 from Wooldridge
Bowen, Harry P. and Margarethe F. Wiersema, 1999 “Matching method to paradigm in strategy research: limitations of cross-sectional analysis and some methodological alternatives”, Strategic Management Journal, 20: 625-636
Anand BN and Khanna T (2000) “ Do Firms learn to create value? The case of alliances” Strategic Management Journal , 21: 295-315

Session IX: Panel data with Limited dependent variables
• Conditional fixed effects
• Population averaged models

Readings:
Chapter 8 of Logistic Regression using the SAS system, by P.D. Allison, SAS Institute

Henderson R and Cockburn I (1994) “Measuring competence? Exploring firm effects
in pharmaceutical research”, Strategic Management Journal Winter Special Issue, 15,  pp 63-84


http://faculty.london.edu/ppuranam/Teaching/Advanced_Regression_Methods_for_Management_Research-1.pdf

Posted on 13 January 2013


Interviews - In-depth Surveys - Use in Business and Management Research




Sandy Q. Qu, John Dumay, (2011) "The qualitative research interview", Qualitative Research in Accounting & Management, Vol. 8 Iss: 3, pp.238 - 264
Purpose – Despite the growing pressure to encourage new ways of thinking about research methodology, only recently have interview methodologists begun to realize that “we cannot lift the results of interviewing out of the contexts in which they were gathered and claim them as objective data with no strings attached”. The purpose of this paper is to provide additional insight based on a critical reflection of the interview as a research method drawing upon Alvesson's discussion from the neopositivist, romanticist and localist interview perspectives. Specifically, the authors focus on critical reflections of three broad categories of a continuum of interview methods: structured, semi-structured and unstructured interviews.


INTERVIEWING ELITES IN INTERNATIONAL ORGANIZATIONS: A BALANCING ACT FOR THE RESEARCHER
http://www.uni-muenster.de/PeaCon/dgs-mills/mills-texte/The%20QualitativeInterview-InternationalBusinessResearch.htm

Laboratory Experiments - Research Tactic in Business and Management


Deck, C. & Smith, V. (2013). Using Laboratory Experiments in Logistics and Supply Chain Research. Journal of Business Logistics, 34 (1), 6-14

THE USEFULNESS OF BEHAVIORAL LABORATORY EXPERIMENTS IN SUPPLY CHAIN MANAGEMENT RESEARCH
Journal of Supply Chain Management
Volume 47, Issue 3, pages 17–18, July 2011
http://onlinelibrary.wiley.com/doi/10.1111/j.1745-493X.2011.03227.x/abstract

Laboratory Experiments in Operations Management
2011
http://www.utdallas.edu/~emk120030/TutORial.pdf

Experiments in IS research
http://www.sims.monash.edu.au/staff/darnott/experiments.pdf


Participant –Observer Approach as Research Method in Business and Management



Research Methods – a Case Example of Participant Observation
Electronic Journal of Business Research Methods Volume 7 Issue 1 2009 (39 - 46)
Based on a doctoral dissertation
Journal available online


Participant Observation as a Tool for Understanding the Field of Safety and Security
http://champpenal.revues.org/471

Participant Observation: A Model for Organizational Investigation?
Gerald Vinten, Whitbread Professor of Business Policy at the University of Luton, Luton, UK
1994
http://www.adolphus.me.uk/emx/empirical_research/obs_psych_files/p30.htm



Qualitative Research and Publication in Academy of Management Journal
2004 paper
http://aom.org/uploadedFiles/Publications/AMJ/Gephart.pdf

Scenario Research - Research Tool in Business and Management Research





Kalle Piirainen, Samuli Kortelainen, Kalle Elfvengren, Markku Tuominen, (2010) "A scenario approach for assessing new business concepts", Management Research Review, Vol. 33 Iss: 6, pp.635 - 655


How to improve scenario analysis as a strategic management tool?
Theo J.B.M. Postmaa, Franz Lieblb,
Technological Forecasting & Social Change 72 (2005) 161–173

Scenario Approaches – History, Differences, Advantages and Disadvantages
DANA MIETZNER AND GUIDO REGER
EU-USSEMINAR:NEW TECHNOLOGY FORESIGHT,FORECASTING &ASSESSMENT METHODS-Seville 13-14 May 2004
http://foresight.jrc.ec.europa.eu/fta/papers/Session%201%20Methodological%20Selection/Scenario%20Approaches.pdf


Scenario Management: An Interdisciplinary Approach
Requirements Engineering Journal, 1999
ftp://ftp.informatik.rwth-aachen.de/pub/CREWS/CREWS-99-01.pdf


SCENARIOS
By Jerome C. Glenn and The Futures Group International
AC/UNU Millennium Project Futures Research Methodology – V2.0

Philosophy of Management


Elements of a Philosophy of Management and Organization
http://www.springer.com/business+%26+management/organization/book/978-3-642-11139-6
You can download chapter 2 from this site



An Introduction to the Philosophy of Management
Paul Griseri
April 2013   176 pages   SAGE Publications Ltd
http://www.uk.sagepub.com/books/Book237780#tabview=samples
Download link for chapter 1
http://www.uk.sagepub.com/upm-data/54404_Griseri_ch1.pdf
Google Book Link with Preview Facility
http://books.google.co.in/books?id=bgZ5G56XZFYC


Perspective: Management Philosophy Enigma
William D. Litzinger and Thomas E. Schaefer
The Academy of Management Journal
Vol. 9, No. 4 (Dec., 1966), pp. 337-343


A philosophy of management
Ralph Davis
The Journal of Insurance, Vol.25. No.3, Nov. 1958, Pp. 1-7



The Philosophy of Management
1923
Oliver Sheldon
http://archive.org/details/philosophyofmana00sheluoft

Simulation - Research Tool in Business and Management Research




SIMULATION MODELING IN ORGANIZATIONAL AND MANAGEMENT RESEARCH
J. RICHARD HARRISON, ZHIANG LIN, GLENN R. CARROLL, KATHLEEN M. CARLEY
Academy of Management Review 2007, Vol. 32, No. 4, 1229–1245

Simulation modeling provides a powerful methodology for advancing theory and research on complex behaviors and systems, yet it has been embraced more slowly in management than in some associated social science disciplines. We suspect that part of the reason is that simulation methods are not well understood. We therefore aim to promote understanding of simulation methodology and to develop an appreciation of its potential contributions to management theory by describing the nature of simulations, its attractions, and its special problems, as well as some uses of computational modeling in management research.

Empirical simulation studies in operations management: context, trends, and research opportunities
Scott M. Shafer, Timothy L. Smunt
Journal of Operations Management 22 (2004) 345–354

Simulation as a Research Tool in Management Studies
PETER BERENDS, Maastricht University, The Netherlands
GEORGES ROMME, Maastricht University, The Netherlands
European Management Journal Vol. 17, No. 6, pp. 576–583, 1999