Session 236

Improving methods

Track R

Date: Monday, October 5, 2015


Time: 08:00 – 09:15


Room: Director's Row E

Session Chair:

  • TBD

Title: Constructing Priors for Bayesian Analysis from People’s Predictions: Lessons from Behavioral and Forecasting Research


  • Andreas Schwab, Iowa State University
  • William Starbuck, University of Oregon

Abstract: Bayesian analysis produces a best estimate for the expected distribution of effects. The calculation of this ‘posterior’ distribution has two inputs: a prior distribution and the newly collected data. Thus, the accuracy and validity of a posterior distribution depends both on the quality of the prior distribution and the quality of the collected data. Drawing behavioral and forecasting research, this paper identifies and discusses five recommendations to increase the quality of prior distributions based on capturing the expectations of individuals, who might be lay people or experts. Higher quality priors promise benefits for the accurate estimation of effects especially when dealing with small samples and rare events. This study contributes to current efforts to explore the potential value of Bayesian statistics for management research.

Title: PR Landscapes for Strategic Search


  • Richard Harrison, University of Texas-Dallas
  • Alf Steinar Sætre, Norwegian University of Science and Technology
  • Ayenda Kemp, University of Texas-Dallas

Abstract: This paper proposes a new methodology for computational strategic search processes. The value of a fitness landscape location is represented by the height of a PR landscape, where P is the number of peaks and R is the ruggedness or narrowness of the peaks on the landscape. The height of the landscape may denote firm performance, product potential, competitiveness, survival prospects, or any other outcome of strategic interest. The PR landscape approach is seen as an alternative to using an NK landscape because it is a continuous surface that can be visualized in three dimensions. We suggest that the PR landscape provides a more appealing way to model and interpret a firm’s movement as it engages in strategic search.

Title: Research Design for Mixed Methods: Linking Methods within Studies and Knitting Methods across Studies


  • Scott Turner, University of South Carolina
  • Laura B. Cardinal, University of South Carolina
  • Richard Burton, Duke University

Abstract: All methods individually are flawed, but these limitations can be mitigated through mixed methods research, which combines methodologies to give us better answers to our research questions. In this study, we develop a research design framework for mixed methods that is based on the principles of triangulation. Core elements of this framework include theoretical purpose, i.e., theory development and/or theory testing, and methodological purpose, i.e., prioritizing generalizability, precision in control and measurement, authenticity of context. With these elements in mind, we analyze processes for linking methods within a given study and knitting methods across different studies, examining several exemplar studies for each process, and we consider the implications of these processes for theory. From these insights, we develop a roadmap for mixed methods research.

Title: The Implementation and Added Value of Mixed Methods in Competitive Strategy and Management Systems


  • José F. Molina-Azorin, University of Alicante
  • Juan José Tarí, University of Alicante
  • María Dolores López-Gamero, University of Alicante
  • Jorge Pereira-Moliner, University of Alicante
  • Eva M. Pertusa-Ortega, University of Alicante

Abstract: The aim of this paper is to analyze the main characteristics of mixed methods (the combination and integration of quantitative and qualitative methods) and the use of this methodological approach in several works that are being conducted about the implications and impact of management systems on competitive strategy. First, we examine the main features of mixed methods research, emphasizing why and how to use this approach. Then, we indicate our experience as scholars that usually conduct mixed methods studies in our research. We highlight the reasons and motives why we use this methodology, how we conduct these studies, and the logic and main characteristics of the mixed methods designs that are being carried out. Several implications for strategy research and practice are also indicated.

All Sessions in Track R...

Sun: 08:00 – 09:15
Session 259: Multilevel Modelling
Sun: 11:15 – 12:30
Session 33: Methodological challenges in publishing international strategy research
Session 250: Foundational Issues in Research Methods
Sun: 17:45 – 00:00
Session 326: Research Methods Community Business Meeting
Mon: 08:00 – 09:15
Session 236: Improving methods
Mon: 11:15 – 12:30
Session 254: Ethics in Research Methods
Tue: 14:15 – 15:30
Session 237: Replication and verification

Strategic Management Society