The use of logit and probit models in strategic management research: Critical issues

The logit and probit models have become critical parts of the management researcher's analytical arsenal, growing rapidly from almost no use in the 1980s to appearing in 15% of all articles published in Strategic Management Journal in 2005. However, a review of three top strategy journals revealed numerous areas in their use and interpretation where current practice fell short of ideal. Failure to understand how these models differ from ordinary least squares can lead researchers to misunderstand their statistical results and draw incorrect conclusions regarding the theory they are testing. Based on a review of the methodological literature and recent empirical papers in three leading strategy journals, this paper identifies four critical issues in their use: interpreting coefficients, modeling interactions between variables, comparing coefficients between groups (e.g., foreign and domestic firms), and measures of model fit. For each issue, the paper provides a background, a review of current practice, and recommendations for best practice. A concluding section presents overall implications for the conduct of research with logit and probit models, which should assist both authors and readers of strategic management research. Copyright © 2007 John Wiley & Sons, Ltd.     

Data analytic trends and training in strategic management

Data analysis is a key element of the research process. Accordingly, appropriate doctoral training in data analysis is vital to the strategic management field's future. We used a two‐study design to evaluate quantitative data analysis trends and doctoral training. An analysis of Strategic Management Journal articles from 1980 to 2001 reveals that, contrary to some predictions, the use of general linear model techniques such as regression has increased over time. However, the use of more specialized techniques, including those suitable for examining longitudinal data, discrete events, and causal structure, has also grown substantially. A survey of recent doctoral graduates shows that, although skilled with general linear models, many are ill prepared to use specialized techniques. Based on our findings, we offer suggestions aimed at bridging gaps between what doctoral students (and other researchers) know and what they need to know about data analysis. Copyright © 2003 John Wiley & Sons, Ltd.     

基于Heckman选择模型的高管激励与技术创新关系研究——以医药行业上市公司为例

本文以我国医药行业上市公司为研究对象,采用Heckman选择模型避免样本选择偏差,同时将线性关系与非线性关系相结合,考察“十二五”期间我国医药上市公司高管激励对技术创新的影响。实证研究结果表明：短期薪酬激励与技术创新之间并非简单的线性相关关系,两者之间呈明显的倒U型关系;长期股权激励对技术创新具有显著的正向影响。从而找到薪酬激励的极大值,提出避免过度薪酬激励、适当提高股权激励水平、建立合理的高管激励体系等对策建议。     

The problem of unobservables in strategic management research

In this paper we argue that unobservable constructs lie at the core of a number of influential theories used in the strategic management literature—including agency theory, transaction cost theory, and the resource-based view of the firm. The debate over how best to deal with the problem of unobservables has raged in the philosophy of science literature for the best part of the current century. On the one hand, there are the positivists, who believe that theories containing unobservable constructs are only useful as tools for making predictions. According to positivists, such theories do not inform us about the deep structure of reality. On the other hand, there are the realists, who believe that our theories can give us knowledge about unobservables. Herein we review this debate, we argue for adopting a realist position, and we draw out the implications for strategic management research.     

Developing theory from strategic management research in China

What are the main approaches to theory development based on strategic management research in China? What are some of the recent efforts in developing theory in this area? What is our recommended approach? To address these questions, this article outlines the three approaches to theory development in China research, articulates the Chinese context within the global economy, and highlights two streams of recent work as examples of following the recommended, integrative approach to theory development.     

Construct measurement in strategic management research: illusion or reality?

Strategic management research has been characterized as placing less emphasis on construct measurement than other management subfields. In this work, we document the state of the art of measurement in strategic management research, and discuss the implications for interpreting the results of research in this field. To assess the breadth of measurement issues in the discipline, we conducted a content analysis of empirical strategic management articles published in leading journals in the period of 1998–2000. We found that few studies discuss reliability and validity issues, and empirical research in the field commonly relies on single‐indicator measures. Additionally, studies rarely address the problems of attenuation due to measurement error. We close with a discussion of the implications for future research and for interpreting prior work in strategic management. Copyright © 2004 John Wiley & Sons, Ltd.     

An assessment of the use of structural equation modeling in strategic management research

Structural equation modeling (SEM) is a powerful, yet complex, analytical technique. The use of SEM to examine strategic management phenomena has increased dramatically in recent years, suggesting that a critical evaluation of the technique's implementation is needed. We compared the use of SEM in 92 strategic management studies published in nine prominent journals from 1984 to 2002 to guidelines culled from methodological research. We found that the use and reporting of SEM often have been less than ideal, indicating that authors may be drawing erroneous conclusions about relationships among variables. Given these results, we offer suggestions for researchers on how to better deploy SEM within future inquiry. Copyright © 2004 John Wiley & Sons, Ltd.     

Production frontier methodologies and efficiency as a performance measure in strategic management research

The measurement of corporate performance is central to strategic management research. A common objective of this research is to identify top performers in an industry and their sources of competitive advantage. Despite this focus on best firms and practices, most researchers utilize statistical methods that identify average effects in a sample, and they assess a single performance dimension while ignoring other relevant dimensions. Emphasis on purely financial measures can overlook the fact that a firm's efficiency in transforming resources has been shown as a major source of competitive advantage. In this article we demonstrate how frontier methodologies, such as Data Envelopment Analysis and the Stochastic Frontier approach, can address these challenges. We provide an illustration based on longitudinal data from U.S. and Japanese automobile producers. Copyright © 2013 John Wiley & Sons, Ltd.     

Measuring and testing change in strategic management research

This paper reviews some critical issues associated with measuring and testing change and then reports on how strategy researchers have addressed those matters. We first discuss three key methodological requirements: reliability assumptions of change variables, correlations between the change variable and its initial measure, and selection of unbiased measurement alternatives. Next, we present data from a content analysis of 126 change studies which suggest that strategy researchers tend not to recognize those requirements. Indeed, the typical approach used to measure and test change (as a simple difference between two measures of the same variable) is usually inappropriate and could lead to inaccurate findings and flawed conclusions. We conclude by offering suggestions for how change can be studied more rigorously. Copyright © 2002 John Wiley & Sons, Ltd.     

Consequences of measurement problems in strategic management research: the case of Amihud and Lev

Strategic management research has been characterized as placing less emphasis on construct measurement than other management subfields. To illustrate the consequences of measurement error, we revisit the debate on the causes of diversification. Our research suggests that the divergent findings between studies on this topic are largely the result of measurement error, and that prior work has underestimated the true effect of size in the relationships between variables. Copyright © 2004 John Wiley & Sons, Ltd.     

Rigor and practical usefulness of research in strategic management

This paper examines the rigor and usefulness of research programs in strategic management. Using a facet analysis technique, 23 research programs are examined on eight criteria reflecting their relative rigor and usefulness. Results show that this field has emphasized the practical usefulness of research results. Some research that is rigorous and has practical usefulness also exists in the field. Suggestions for generating more such research are discussed.     

The perils of endogeneity and instrumental variables in strategy research: Understanding through simulations

In this paper we use simulations to examine how endogeneity biases the results reported by ordinary least squares (OLS) regression. In addition, we examine how instrumental variable techniques help to alleviate such bias. Our results demonstrate severe bias even at low levels of endogeneity. Our results also illustrate how instrumental variables produce unbiased coefficient estimates, but instrumental variables are associated with extremely low levels of statistical power. Finally, our simulations highlight how stronger instruments improve statistical power and that endogenous instruments can report results that are inferior to those reported by OLS regression. Based on our results, we provide a series of recommendations for scholars dealing with endogeneity. Copyright © 2013 John Wiley & Sons, Ltd.     

Business models: Impact on business markets and opportunities for marketing research

Business models have evolved in the context of new venture creation. By offering an entrepreneurial perspective to established marketing elements such as value propositions, value capturing and value networks, business models provide marketing discipline with both challenges and opportunities to engage with entrepreneurial environments. In particular, business models call for approaches that elucidate value-in-use of marketing offerings, reveal the performance of contracts in orchestrating value networks and identify the performance of network configurations. In this article we present some implications of and opportunities for business models for marketing research.     

Testing management theories: critical realist philosophy and research methods

This study identifies the practical and philosophical difficulties associated with testing strategic management and organization theories. Working from a critical realist perspective, we affirm the importance of falsification and verification efforts for progress in theory development. We advocate a four‐step approach for advancing theory testing that prioritizes identifying and testing for the presence and effects of hypothesized causal mechanisms, rather than solely focusing on correlational methods to jointly test the set of effects composing a theoretical system. Going beyond prior critical realist writings, we provide practical guidance for deploying established research methods to test management theories. Copyright © 2010 John Wiley & Sons, Ltd.     

Enhancing mental models,analogical transfer,and performance in strategic decision making

Recent research suggests that managers often make strategic decisions in novel situations by utilizing past experiences to reason by analogy. However, there is substantial evidence that decision makers often fail to identify and apply knowledge about one situation to a similarly structured situation. Two experimental studies investigated the mechanisms impacting knowledge transfer from one managerial situation (the source) to an analogous situation. The results show that exposure to variation in the source situation improves transfer performance. Variation decreases performance in the short term but improves learning and increases analogical transfer. Higher performance on and systematic search of the source situation also increase transfer performance. These results yield important implications for enhancing analogical transfer in strategic decision making and for future research on reasoning by analogy. Copyright © 2012 John Wiley & Sons, Ltd.     

Decision models in global supply chain management

Integrative decision making is key to effective supply chain management (SCM). This article examines five illustrative supply chain decision models that demonstrate the importance of integrating the decisions across the supply chain. The models that are discussed illustrate the diversity of analytical approaches and their usefulness in managing global supply chain issues. The paper identifies potential areas of additional research where analytical modeling can generate useful insights. The paper also presents a short categorization of decision models from literature.     

Factors influencing partner selection in strategic alliances: the moderating role of alliance context

The growth of alliances has generated considerable interest in this topic among both academics and practitioners. While multiple factors may affect alliance success, partner selection emerges as one of the most influential. Previous studies on alliances present general models that assume the factors (e.g., trust, commitment, complementarity, financial payoff) that drive partner attractiveness and, in turn, the likelihood of selection, are consistent across varying alliance projects and situations. In contrast, the present study proposes a contingency approach grounded in management control theory that suggests the criteria managers use in choosing alliance partners will vary by alliance project type. Specifically, it introduces a framework that addresses when and why managers select partners with certain, specific characteristics. The results of the present study strongly support hypotheses that the critical criteria for assessing alliance partner attractiveness and selection vary depending on the differential levels of process manageability and outcome interpretability inherent in a strategic alliance. Implications for theory and practice are discussed. Copyright © 2008 John Wiley & Sons, Ltd.     

Use of partial least squares (PLS) in strategic management research: a review of four recent studies

Advances in causal modeling techniques have made it possible for researchers to simultaneously examine theory and measures. However, researchers must use these new techniques appropriately. In addition to dealing with the methodological concerns associated with more traditional methods of analysis, researchers using causal modeling approaches must understand their underlying assumptions and limitations. Most researchers are well equipped with a basic understanding of LISREL‐type models. In contrast, current familiarity with PLS in the strategic management area is low. The current paper reviews four recent studies in the strategic management area which use PLS. The review notes that the technique has been applied inconsistently, and at times inappropriately, and suggests standards for evaluating future PLS applications. Copyright © 1999 John Wiley & Sons, Ltd.