Facilitator: Raza A Mir; William Paterson U.; 

Presenter: Amy C. Edmondson; Harvard U.; 

Presenter: Sanjay Jain; San Francisco State U.; 

Presenter: Paula Jarzabkowski; Aston U.; 

Presenter: Ali Mir; New York Institute of Technology; 

Presenter: Christopher B. Bingham; U. of Maryland; 

Facilitator: Mark A. Griffin; U. of Sheffield; 

Presenter: David A Hofmann; U. of North Carolina at Chapel Hill; 

Presenter: Mark Gavin; Oklahoma State U.; 

Presenter: Herman Aguinis; Indiana U., Bloomington; 

Presenter: Todd C. Darnold; Creighton U.; 

Presenter: Daniel A. Newman; U. of Illinois at Urbana-Champaign; 

Presenter: Ryan D. Zimmerman; Texas A&M U.; 

Presenter: Jodi S. Goodman; U. of Connecticut; 

Presenter: Lisa Schurer Lambert; Georgia State U.; 

Presenter: Stephanie L. Castro; Florida Atlantic U.; 

Presenter: Chester A. Schriesheim; U. of Miami; 

Presenter: Robert J. Vandenberg; U. of Georgia; 

Presenter: Larry J. Williams; Virginia Commonwealth U.; 

Presenter: Gordon W Cheung; Chinese U. of Hong Kong; 

Presenter: Heidi Wechtler; U. Paris 1 Sorbonne / Institut d'Administration des Entreprises; 

Saturday, Aug 8 2009 

8:00am - 10:00am

Sheraton Chicago

Ballroom 1

Studies that combine moderation and mediation are prevalent in management research. Typically, these studies are framed in terms of moderated mediation or mediated moderation, both of which involve similar analytical approaches. Unfortunately, these approaches have shortcomings that conceal the nature of the effects under investigation. This session presents a general analytical framework for combining moderation and mediation that integrates moderated regression analysis and path analysis. This framework clarifies how moderator variables influence the paths that constitute the direct, indirect, and total effects of mediated models. Step-by-step instructions for applying the framework are provided, and an empirical example is given.

This workshop covers a spectrum of theories and methods for conducting process research undertaken to examine a variety of dynamic questions dealing with how change unfolds in individuals, groups, organizations, and programs. The workshop is designed to support a community of scholars across Academy divisions who want to share and become acquainted with methods for conducting process studies. Part 1 will feature the process research perspectives of Hari Tsoukas, Martha Feldman and Jennifer Howard-Grenville with commentary by other faculty. It will include an introduction to process epistemology, practical exercises, and discussions of experience in using process methods. In Part 2, participants will discuss and receive feedback from faculty and other participants on short papers they submit describing their process research projects. The workshop concludes with a faculty panel session and suggestions for building our community of process research scholars.

To attend part 2 of the workshop dealing with a round table discussion, you must fill out the paper submission form that you can obtain at 

http://www.processresearchmethods.org/PDW09.htm. 

On the form, you are asked to describe your process research paper or project in approximately 1000-2000 words. Your paper will be grouped with papers on similar topics for small table paper discussions. All participants at the table will receive one another's paper to read before the workshop. Please email your completed form to:

This e-mail address is being protected from spam bots, you need JavaScript enabled to view it by July 3, 2009.

You will then be given an approval code for your registration on this site.

Saturday, Aug 8 2009 

4:30pm - 8:30pm

Sheraton Chicago

Chicago 10

Chair: Ann Langley; HEC Montreal; 

Coordinator: Clive Smallman; Lincoln U., New Zealand; 

Presenter: Martha S. Feldman; U. of California, Irvine; 

Presenter: Haridimos Tsoukas; ALBA & Warwick Business School; 

Presenter: Jennifer Howard-Grenville; U. of Oregon; 

Facilitator: Julia Balogun; Lancaster U.; 

Facilitator: Robert A Burgelman; Stanford U.; 

Facilitator: Mark de Rond; Cambridge U.; 

Facilitator: Andrew H. Van de Ven; U. of Minnesota; 

This workshop will address qualitative research from the perspective of a researcher seeking to begin qualitative inquiry. The initiation or approach to qualitative research is a critical point for scholars who are not trained in qualitative research and who are uncertain where or how to begin a project. It is also an issue for more experienced qualitative researchers who struggle with finding an appropriate starting point for yet the next project involving research that is often emergent, innovative and uncertain. In the workshop, qualitative research is defined as multi-method research that employs an interpretive, naturalistic approach to understanding phenomena and relies primarily on qualitative (non-mathematical) processes of analysis for data summarization and interpretation (Gephart, 2004). Qualitative research is concerned with the meaning and not the frequency of naturally occurring phenomena (Van Maanen, 1979, p. 520) and it seeks to describe social processes and contexts based on personal experiences of the researcher. Given the flexible and emergent nature of qualitative research (Van Maanen, 1998), scholars face a particular challenge discerning ‘where to begin?’ and ‘what to do?’ in commencing qualitative inquiry. Recent textbooks (e.g. Silverman, 2006) offer assistance in defining qualitative research and discussing how to begin the research process. The purpose of this professional development workshop will be to build on these insights and disseminate them to management scholars seeking to initiate qualitative research projects. The current workshop will pose and address several questions that should guide participants in the process of approaching and initiating qualitative research. By exploring these questions, the workshop will hopefully motivate and guide participants to initial research topics and ideas. But a single workshop is not sufficient in itself to completely prepare participants for doing qualitative methods. 

The questions posed and addressed are: 

1. What is qualitative research and when is it an appropriate research strategy? That is, what can qualitative research achieve and what is it unlikely to accomplish? 
2. What are the initial issues, including design and sampling, to consider when one approaches qualitative research? 
3. How does one find or place some boundaries on a research focus or topic in qualitative research? 
4. What are some common problems in initiating qualitative research topics and how can these be handled or avoided? 
5. How do initial research design and sampling considerations influence the use of key qualitative methods – e.g. observation, analysis of texts and documents, doing interviews and focus groups, and audio and video recording interaction? 
6. What are the ethical requirements and constraints on qualitative research? How can ethical requirements be managed? 
7. How do the initial aspects of qualitative research fit into the broader qualitative research process or research cycle? 

The panel is composed of scholars who have extensive and varied research doing qualitative research and publishing qualitative research in important outlets. 

The workshop will have 3 parts: 

1. A general session to address the initial issues one needs to deal with when approaching qualitative research, 
2. Break out discussion groups led by panelists with the purpose of helping participants formulate research topics and strategies they can undertake and 
3. A general session to discuss proposed research topics, to explore the challenges in bringing such proposals to completion, and a general discussion of the broader issues involved in qualitative research. 

Approaching Qualitative Research Professional Development Workshop Proposal Research Methods Division Academy of Management, Chicago, 2009 Organizer: Robert P. Gephart, Jr. Professor of Strategic Management and Organization Associate Editor, Organizational Research Methods School of Business University of Alberta Edmonton, Alberta, CANADA T6G 2R6 Tel: 780-492-5715 Fax: 780-492-3325 Email: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it Participants: Beth Bechky Senior Editor, Organization Science Associate Professor of Management Graduate School of Management University of California, Davis One Sheilds Avenue Davis, CA 95616 Email: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it Phone: 530-752-0911 Mary Yoko Brannen Visiting Professor of Strategy and Management INSEAD Fountainebleau, FRANCE Email: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it Phone: 33 (0)1 60 72 40 00 Karen Locke W. Brooks George Professor School of Business, Mason College of William and Mary Tyler Hall 318D P.O. Box 8795 Williamsburg, VA, 23187-8795. Telephone: 757-221-2889 Email: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it Michael G. Pratt Associate Editor, Academy of Management Journal Professor of Organization Studies Boston College Chestnut Hill, MA 02467-3803 Phone: 617-552-6992 Fax: 617-552-4230 Email: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it  

Academic-practitioner collaborative research has provided the Academy of Management with spirited debates about rigor and relevance and about the potential of such cooperation. This PDW’s purpose is to create a relational space where we can discuss the methods and techniques that academics and practitioners use for this research. By focusing on the “how” of collaborative research, we aim to generate provocative, engaged conversations across academic–practitioner boundaries and across disciplines and professions. These conversations will identify actions needed to actually do collaborative research. These include not only the methods and techniques such collaborations employ to ensure both rigor and relevance, but the outcomes and behaviors needed to ensure research accountability and success for both task and process. Furthermore, we want to help the participants become conscious of the questions they ask as well as their interactions so that they become reflective practitioners of organizational research. Building an international practice field with pairs of academics and practitioners from Europe and the United States and with pre-workshop input from participants, we will use a World Café format to generate a conversation around themes that matter to participants and presenters alike. The workshop will explore the “how” of such research and develop an action plan to continue the international discussion and relationship building after the session. By discussing and summarizing the different conversations and linking the workshops results to the current debate on collaborative research we offer clear state-of-the-art take home messages for the participants.

Organizational researchers often ask questions such as: 1) What are the “most important” predictors of my criterion variable (e.g., team performance, individual job attitudes, firm performance)?, 2) How might correlations among my predictor variables impact the relative importance of these variables in predicting my criterion?, or 3) What is the relative contribution my predictors make to the overall explanatory power (R2) of my model? To answer such questions, we often supplement a traditional regression analysis with something called a relative importance analysis. The goal of a relative importance analysis is to decompose/assign the variance predicted in a criterion to each predictor. When predictors are orthogonal this process is straight forward. However, when predictors are correlated, traditional statistics such as correlations and regression weights are problematic. The objective of the proposed workshop is to familiarize organizational researchers and practitioners with the new strategies available for the relative importance analysis that can be used to test a wide range of substantive hypotheses across many areas in the organizational sciences. The workshop will be organized as follows. First, we will introduce the statistical concept of relative importance and discuss methods used for its assessment. We will specifically focus on limitations of traditional techniques (e.g., regression weights) and advantages of new techniques (e.g., dominance weights). Second, we discuss recent innovations in assessing relative weights (e.g., assessing relative importance for multidimensional criteria). Finally, we will provide a step-by-step guidance on conducting a relative importance analysis using commonly used software (e.g., SPSS, EXCEL).

As the use of rich, deep qualitative data begins to receive the appropriate recognition as a suite of research methodologies in the management field (Gephart, 2004), so the tools which can assist researchers in their quest to interpret and disseminate the knowledge inherent within qualitative enquiry deserve much attention. This has been somewhat lacking in the Academy (O’Kane et al., 2008; Smith et al., 2008). In this workshop we aim to redress this by presenting and comparing three different software packages: NVivo; QDA Miner; and, Atlas.ti. These packages, which began to emerge around the same time, have taken different approaches to data representation and used varying tools and techniques to aid data interpretation. By giving an overview of all three, we use our combined expertise to discuss and debate the merits and pitfalls of each package while acknowledging and debating the different research approaches the packages support. This varies broadly from inductive to deductive approaches and the various analytical schemes therein. We provide participants with an introduction to the role of rigor in relation to qualitative enquiry and follow this up with an overview of the functions of each program. We will use a panel debate to interrogate the packages in further detail and answer key questions from the participants. Following this, participants will have the option to join one of the parallel hands-on sessions on each piece of software which will give a basic introduction to using and getting to know each package. Participants should download a trial version of each software package. 

NVivo is available from: http://www.qsrinternational.com/products_free-trial-software.aspx. 

QDA Miner from: http://www.provalisresearch.com/Download/download.html and Atlas.ti from: http://www.atlasti.com/demo.html. 

Additionally, a seperate but interlinked workshop on "Introduction to Content Analysis" (11192) will prequel this.

Saturday, Aug 8 2009 

2:20pm - 6:10pm

Swistotel Chicago

Montreux Salon 3

Organizer: Paula Marie O'Kane; U. of Ulster; 

Presenter: Anne D. Smith; U. of Tennessee; 

Distinguished Speaker: Anand Narasimhan; IMD; 

Presenter: Jane Kirsten Matthiesen; Aston U.; 

Discussant: Carrie Blair; College of Charleston; 

Discussant: Taylor L. Poling; U. of Tennessee, Knoxville; 

Presenter: Kavita Abraham; London School of Economics; 

This workshop is designed as a comprehensive introduction to ego network analysis, beginning by positioning ego network analysis in the larger fields of social science and network analysis and working through research designs and analysis using E-NET (Borgatti, 2007), a software package designed specifically for the analysis of ego networks. Ego network analysis combines many of the benefits of traditional case-based social science with the relational philosophy of network analysis. As such, it: Employs dyadic and relational variables (e.g., heterogeneity, homophily); Overcomes some data collection challenges in traditional network analysis; and can draw upon larger numbers of egos (cases) to improve statistical power. These unique characteristics of ego-based network analysis allow researchers to investigate new phenomenon and ask new research questions. Ego-based network analysis is at the core of some of the most exciting and visible work in networks (e.g., Ron Burt’s work on Brokerage and Closure. This interactive workshop offers a nuts-to-bolts tutorial on: 

 1) When and why to use ego network analysis;

 2) Research design considerations; 

 3) Research design and data collection using EgoNet; and 

 4) Ego network data analysis using E-NET. 

All participants will be provided with evaluation software necessary to participate in the workshop free of charge. We expect participants to bring their laptops to the workshop in order to participate in the hands-on portion of the workshop.

Saturday, Aug 8 2009 

12:20pm - 2:10pm

Sheraton Chicago

Erie Room

Presenter: Dan Halgin; U. of Kentucky; 

Presenter: Rich DeJordy; Boston College; 

The purpose of this workshop is to increase the awareness among management researchers of the severe limitations of Null Hypothesis Significance Testing (NHST) and to introduce alternative approaches based on effect size measures and confidence intervals. Null Hypothesis Significance Testing (NHST) has been criticized by methodologists on various grounds. Their criticism suggests that in the management literature, the extensive use of NHST in quantitative management research has led to the accumulation of deceptive findings. Consequently, management journals are full of "statistically significant" results that are both too small to be practically relevant and so small that they are unlikely to be replicated by other studies. In a field that aspires to provide useful advice to managers, we need to focus on practically important effects that are robust across a wide variety of settings. Our workshop provides a comprehensive critique of NHST and introduces alternative approaches. Round-table discussions offer additional opportunities to receive hands-on advice.

Content analysis has a long history of being used across many different social science disciplines including organisation studies. The method has many strengths to recommend its use in the study of a broad range of organizational issues because of its combination of qualitative and quantitative elements, analytical flexibility, suitability for longitudinal research, potentially non-intrusive nature, and efficiency when computers are used to carry out the coding task ie Computor aided text analysis (CATA). Despite these advantages, content analysis and CATA are relatively under-utilised by organisational researchers for several reasons, including lack of training and familiarity with the method and with software. This workshop provides a hands-on experience in the nature and use of the latest generation of CATA involving machine-learning based CATA. In essence this replaces the often difficult and tedious, and sometimes virtually impossible task of developing a dictionary of content terms that software uses to code text with a process of developing an automatic text-categoriser that is trained using sentences that are examples of the categories being coded. The software trains the text categoriser by ‘teaching’ it to recognise the presence or absence of target categories using an internal algorithm which the categoriser then uses to code a much larger set of texts. The workshop will cover the entire process of using a CATA approach starting with developing a text database to training a categoriser and provides participants with the opportunity to take part in the process of developing a text categoriser being developed for an ongoing project.

The purpose of this PDW is to review the proper use and interpretation of goodness of fit indices. It will be argued that while these indices provide some information about model adequacy, management researchers place too much emphasis on whether or not threshold values are achieved, and in the process ignore other important information about the model. The PDW will include three major components. First, the empirical research supporting threshold values will be reviewed, and emphasis will be placed on what indices reveal, and do not reveal, about a model that is under consideration (e.g., MaCallum, 2001). The influence of sample size, model complexity, number of latent variables, and number of indicator variables on fit indices will be described (e.g. Cudeck & Henley, 1991; Hu & Bentler, 1998; MacCallum, Browne, & Sugarawa, 1996; Marsh, Balla, & McDonald, 1988; Yuan, 2005)). Second, fit indices that focus on the structural component of a model (relationships among latent variables) will be reviewed and demonstrated (Mulaik S. A., James L. R., Van Alstine J., Bennett N., Lind S., & Stilwell D. C., 1989; Williams & Holahan, 1994). Although available for some time, these indices have not been used in recent management research using latent variables (e.g., O’Boyle & Williams, 2009). Finally, consideration will be given as to how fit indices should be used in conjunction with other diagnostic information in an optimal approach to model evaluation (Browne, M. W., MacCallum, R. C., Kim, C., Anderson, B. L., & Glaser, R., 2002; Fan & Sivo, 2005; McDonald & Ho, 2002; Preacher, K. J., 2006). Emphasis in this section will be on analysis of residuals involving indicator and latent variables.

Saturday, Aug 8 2009 

10:10am - 12:10pm

Sheraton Chicago

Sheraton 2

Presenter: Larry J. Williams; Virginia Commonwealth U.; 

Presenter: Ernest H O'Boyle; Virginia Commonwealth U.; 

This PDW will provide an introduction to content analysis and its uses in management research. Given the increasing prevalence of content analysis as a research methodology (cf. Duriau, Reger, & Pfarrer, 2007), the workshop will focus on how content analysis has important theoretical and empirical applications to multiple areas of management research. Presenters will also discuss various theoretical and empirical techniques. Content analysis is a research technique used to make replicable and valid inferences (Krippendorff, 2004) by “identifying specified characteristics within a text” (Stone, Dunphy, Smith, and Ogilvie, 1966: 5). By systematically evaluating text through content analysis, qualitative data (e.g., documents, oral communication and pictures) can be converted into quantitative data. Although the method has been used frequently in the social sciences, only recently has it become more prevalent in different management research streams, including business policy and strategy, managerial organizational cognition, organization behavior, human resources, social issues in management, technology management, international management, and organization theory. A summary of the PDW is as follows: A presenter will first provide an introduction to content analysis as a research methodology. Subsequent presenters will relate their own experiences with content analysis, discuss general opportunities and challenges of using content analysis as a research methodology, and illuminate particular techniques and applications of content analysis in specific research domains. The session will conclude with round-table discussions that will enable participants interested in using content analysis to interact with, and receive feedback from, leading scholars in the field.

Saturday, Aug 8 2009 

10:10am - 1:10pm

Sheraton Chicago

Sheraton 7

Organizer: Moriah A. Meyskens; Florida International; 

Organizer: Lori Kiyatkin; U. of Maryland; 

Organizer: Michael D. Pfarrer; U. of Georgia; 

Presenter: Rhonda K. Reger; U. of Maryland; 

Presenter: Michael D. Pfarrer; U. of Georgia; 

Presenter: Brayden G King; Northwestern U.; 

Presenter: Nelson Phillips; Imperial College London; 

Presenter: Tim Pollock; Pennsylvania State U.; 

Presenter: Moriah A. Meyskens; Florida International U.; 

Presenter: Lori Kiyatkin; U. of Maryland; 

Presenter: Paula Marie O'Kane; U. of Ulster; 

Presenter: Arijit Chatterjee; Pennsylvania State U.; 

Presenter: Mark Thomas Kennedy; U. of Southern California; 

Participant: Kevin McKague; York U.; 

Participant: Alan D. Boss; U. of Maryland, College Park; 

Participant: Wei Guo; U. of Maryland - College Park; 

Participant: Sheetal Singh; U. of Maryland, College Park; 

Participant: Wei He; Florida International U.; 

Participant: Anastasiya A. Zavyalova; U. of Maryland, College Park; 

Participant: Dobin Yim; U. of Maryland - College Park; 

Participant: April Rijing Shen; U. of Maryland - College Park; 

Participant: Kristopher Deininger; U. of Maryland; 

Presenter: Walter J Ferrier; U. of Kentucky; 

Presenter: Goce Andrevski; Queen's School of Business, Canada; 

In the last decade sensors have become cheaper, faster, and more ubiquitous, enabling automatic collection of data at the millisecond-level time scale in a technique called Reality Mining. The Reality Mining workshop will focus on discussing what new management paradigms can be enabled with this technique, as well as how researchers can immediately use sensing tools to augment their research. To give participants a better `feel’ for the technology and its potential usefulness, we will arrange for participants to have the option of wearing Sociometric Badges: name badges with electronics that continuously measure face-to-face interaction parameters (e.g., who is talking, who is nearby). We believe that this will further stimulate discussion around Reality Mining as well as demonstrate the effectiveness of this methodology. Participants will come to the workshop expecting to learn more about this technique as well as with innovative ideas at potential applications in their own field of research. Ideally this would be an extremely cross-disciplinary pool in order to generate a wide range of ideas. Recently researchers have applied Reality Mining techniques to management studies with fascinating results. Extremely accurate predictions of productivity from pure behavioral data, expertise recognition, and group cohesion measures have all been enhanced with this technique. By fusing this information with electronic communication data we can obtain a nearly complete view of the activities that organizations engage with unprecedented detail. Previous research has shown that face-to-face cohesion, as measured with Sociometric Badges, was in fact the single largest predictor of productivity. This is compared to e-mail, where network diversity is typically associated with higher productivity. We speculate that this is a measure of the social capital that is formed through informal activities, such as “talking around the water cooler.” We hope to discuss and debate this and other findings during the workshop. Reality Mining research was described by the International Conference on Information Systems 2008 awards committee as “opening a new area of Management Information Systems research.” This has generated a large volume of interest in Reality Mining techniques, which is only expected to build as the technology behind this methodology matures.

Saturday, Aug 8 2009 

8:00am - 10:00am

Sheraton Chicago

Sheraton 7

Organizer: Benjamin Nathan Waber; Massachusetts Institute of Technology; 

Organizer: Lynn Wu; Massachusetts Institute of Technology; 

Discussant: Alex Pentland; Massachusetts Institute of Technology; 

Discussant: Peter Gloor; Massachusetts Institute of Technology; 

Discussant: Sinan Aral; Massachusetts Institute of Technology; 

Discussant: David Lazer; Harvard U.; 

Discussant: Erik Brynjolfsson; Massachusetts Institute of Technology; 

Given the success of this PDW over the past two AOM conferences, which drew approximately 70 particpants in Philadelphia and Anaheim respectively, we are proposing to again offer this workshop on Qualitative Comparative Analysis (QCA) and fuzzy-set (fsQCA) set-theoretic methodologies. The workshop brings together a variety of scholars ranging from those who want to learn what QCA is about to those who have extensive experience working with set-theoretic methods such as QCA as well drawing on the conceptual logic behind QCA for their theory development. In response to previous years’ participants feedback as well as the increased level of usage and expertise that exists among management scholars of QCA, the format of this year’s PDW is designed to accommodate these two groups of participants. The first track will include an introductory session providing a general overview of the set theoretic methodologies and their conceptual logic and break-out sessions centered upon giving attendants hands-on experience in how to get started with running the software and interpreting results. The second track will focus on the needs of advanced users and offer the oppportunity to discuss ongoing research projects using QCA. The goal of the PDW is to expand and deepen the ties of a community of researchers doing qualitative comparative analysis across a variety of topics in organizations and strategy research. Registration Although we do not require it, we strongly recommend pre-registration for this workshop. Those who register will be emailed preparatory reading beforehand. Furthermore, in their registration email participants should indicate a) which track they would like to attend (beginner or advanced) and b) suggest further topics that they would like to discuss. Please send registration emails to This e-mail address is being protected from spam bots, you need JavaScript enabled to view it .

Friday, Aug 7 2009 

3:20pm - 5:50PM

Sheraton Chicago

Sheraton 1

Organizer: Ruth V. Aguilera; U. of Illinois, Urbana-Champaign; 

Organizer: Peer C. Fiss; U. of Southern California; 

Organizer: Thomas Greckhamer; Louisiana State U.; 

Organizer: Rodney Lacey; U. of California, Davis; 

Organizer: Vilmos F. Misangyi; Pennsylvania State U.; 

This PDW demonstrates how systematic reviews and research syntheses inform research, policy and practice. Systematic review has emerged in numerous disciplines and professions, notably medicine, health care, social care, education, and criminal justice, as the essential methodology for bridging the research-practice gap. Structured as a workshop, it presents methodology, how to conduct a systematic review in management fields pluralistic in both theory and method. It details the processes for synthesis, how to work with and integrate quantitative, qualitative and conceptual research using alternative approaches (aggregative, interpretative, explanatory and integrative, see Rousseau, Manning and Denyer, 2008). It helps prepare participants for utilization, how to make use of systematic reviews and syntheses to inform research, policy and practice. This Workshop will be of interest to scholars, doctoral candidates, practitioners and policy makers who are engaged in producing, commissioning or using reviews of research evidence in the field of management and organization studies. This Workshop is a product of the AoM Evidence- based Management network. It inaugurates our effort to promote use of a fit-for-purpose systematic review methodology for management and organization studies. The complicated state of management research makes it tough to know what we know, especially as specialization spawns fragmentation. Developing novel, fit-for- purpose approaches to systematic reviewing - and management researchers’ capacity to use it - is required in a field that is pluralistic in theory and method. The overall PURPOSE of the Workshop is to contribute to developing novel, fit-for-purpose approaches to systematic reviewing and research syntheses - and management researchers’ capacity to use them – in ways which are appropriate for informing research, policy and practice in management studies. 

Friday, Aug 7 2009 

1:30pm - 15:30PM

Sheraton Chicago

Arkansas Room

Organizer: David Denyer; Cranfield U.; 

Chair: Denise M. Rousseau; Carnegie Mellon U.; 

Presenter: Michael Frese; Giessen U.; 

Presenter: Rob B. Briner; U. of London; 

Presenter: Pietro Micheli; Cranfield U.; 

Presenter: John Peloza; Simon Fraser U.; 

Presenter: Richard Adams; Cranfield U.; 

This PDW will define and explore what it means to take an aesthetic approach to organizational research. We will define aesthetics, review the broad research agenda covered by organizational aesthetics, and introduce some aesthetics methods. Following that introduction to the field, PDW participants will present some examples of aesthetic research projects, or research projects designed to explore the aesthetic side of organizational practices, or research projects exploring aesthetics as part of the analytical strategy of developing learnings from empirical studies, to demonstrate what is being done and point to new avenues of research that participants may pursue in their own projects. We will reserve some time for attendees to share their own research projects and allow participants and others to discuss how participants might take an aesthetic approach in their own research.

This PDW does not assume any knowledge of programming. You will see demos of agent-based development environments. Pre-registration is required.

Friday, Aug 7 2009 

1:10pm - 15:10PM

Sheraton Chicago

Huron Room

Chair: Bill McKelvey; U. of California, Los Angeles; 

Chair: Michael J. Prietula; Emory U.; 

Presenter: Philip Anderson; INSEAD; 

Presenter: Richard M Burton; Duke U.; 

Presenter: Zhiang "John" Lin; U. of Texas, Dallas; 

Presenter: Michael North; Argonne National Laboratory; 

Presenter: William Rand; R. H. Smith School at U. of Maryland; 

Presenter: Kathleen M. Carley; Carnegie Mellon U.; 

Computational modeling has a rich history in the physical and computational sciences as a significant type of research method. An emerging approach from that history is a general tactic called agent-based modeling. It is apparent that there are substantial misunderstandings regarding agent-based modeling. It is also apparent that there is a substantial demand for practical information and guidance on how this method (or more accurately, these types of methods) can be applied to management research. As little formal education currently exists in Ph.D. programs in management schools, we believe that an all-academy applied-PDW from the Research Methods division that is presented by leading scholars actively engaged in these methods would greatly benefit academy members. You will also be sent materials prior to the workshop. A post-PDW Wiki for registrants will be provided for discussion throughout the duration of the conference.

Friday, Aug 7 2009 

8:00am - 1:00PM

Sheraton Chicago

Huron Room

Coordinator: Hans Hansen; Texas Tech U.; 

Presenter: Steven S Taylor; Worcester Polytechnic Institute; 

Presenter: Paul Shrivastava; Bucknell U.; 

Presenter: Stefan Meisiek; U. Nova de Lisboa; 

Presenter: Stephen A. Linstead; U. of York; 

Presenter: Robert D Austin; Harvard U.; 

Presenter: Daniel Hjorth; Copenhagen Business School; 

Presenter: Hans Hansen; Texas Tech U.;