Research Methodology in Strategy and Management最新文献

{"title":"Doing discourse analysis in covid-19 conditions: A foucauldian approach","authors":"Suze Wilson","doi":"10.1108/S1479-838720210000013005","DOIUrl":"https://doi.org/10.1108/S1479-838720210000013005","url":null,"abstract":"The ongoing global pandemic poses significant challenges for researchers, personally and professionally, as it does for all people. However, even if we cannot safely leave our home to gather qualitative data by directly meeting with people, opportunities abound for engaging in discourse analysis. After all, people have not stopped talking or writing, even if much of that is now via Zoom, social media or some other technology platform rather than face to face. What people are talking and writing about at this time matters greatly because language use profoundly shapes how people interpret reality, perceive themselves and others and act. Quite literally, then, the discourse people engage in and are influenced by during the pandemic may help to save or imperil lives and livelihoods. While there are many possible approaches to discourse analysis, this chapter focuses on some key insights French philosopher and social theorist Michel Foucault offers for such endeavors. It offers an introductory account of his key concepts and methods, followed by a brief case study to demonstrate their application to discourses that reject scientific knowledge and advice about COVID-19.","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129365857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research in crisis: Covid-19 and methodological adaptation","authors":"Jaewoo Jung, Margaret Koli, Christos Mavros, J. Smith, K. Stepanian","doi":"10.1108/S1479-838720210000013011","DOIUrl":"https://doi.org/10.1108/S1479-838720210000013011","url":null,"abstract":"COVID-19 has generated unprecedented circumstances with a tremendous impact on the global community. The academic community has also been affected by the current pandemic, with strategy and management researchers now required to adapt elements of their research process from study design through to data collection and analysis. This chapter makes a contribution to the research methods literature by documenting the process of adapting research in light of rapidly changing circumstances, using vignettes of doctoral students from around the world. In sharing their experience of shifting from the initially proposed methodologies to their modified or completely new methodologies, they demonstrate the critical importance of adaptability in research. In doing so, this chapter draws on core literature of adaptation and conducting research in times of crises, aiming to provide key learnings, methodological tips and a “story of hope” for scholars who may be faced with similar challenges in the future.","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123297269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The bivariate probit model in strategy and management research: Applications and potential","authors":"Ke Gong, Scott T. Johnson","doi":"10.1108/S1479-838720210000013009","DOIUrl":"https://doi.org/10.1108/S1479-838720210000013009","url":null,"abstract":"In the early days of the COVID-19 pandemic, an area could only report its first positive cases if the infection had spread into the area and if the infection was subsequently detected. A standard probit model does not correctly account for these two distinct latent processes but assumes there is a single underlying process for an observed outcome. A similar issue confounds research on other binary outcomes such as corporate wrongdoing, acquisitions, hiring, and new venture establishments. The bivariate probit model enables empirical analysis of two distinct latent binary processes that jointly produce a single observed binary outcome. One common challenge of applying the bivariate probit model is that it may not converge, especially with smaller sample sizes. We use Monte Carlo simulations to give guidance on the sample characteristics needed to accurately estimate a bivariate probit model. We then demonstrate the use of the bivariate probit to model infection and detection as two distinct processes behind county-level COVID-19 reports in the United States. Finally, we discuss several organizational outcomes that strategy scholars might analyze using the bivariate probit model in future research.","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121127237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying the robustness of empirical inferences in strategic management: The impact threshold of a confounding variable and robustness of inference to replacement","authors":"John R. Busenbark, K. Frank, Spiro Maroulis, R. Xu, Qinyun Lin","doi":"10.1108/S1479-838720210000013010","DOIUrl":"https://doi.org/10.1108/S1479-838720210000013010","url":null,"abstract":"In this chapter, we explicate two related techniques that help quantify the sensitivity of a given causal inference to potential omitted variables and/or other sources of unexplained heterogeneity. In particular, we describe the Impact Threshold of a Confounding Variable (ITCV) and the Robustness of Inference to Replacement (RIR). The ITCV describes the minimum correlation necessary between an omitted variable and the focal parameters of a study to have created a spurious or invalid statistical inference. The RIR is a technique that quantifies the percentage of observations with nonzero effects in a sample that would need to be replaced with zero effects in order to overturn a given causal inference at any desired threshold. The RIR also measures the percentage of a given parameter estimate that would need to be biased in order to overturn an inference. Each of these procedures is critical to help establish causal inference, perhaps especially for research urgently studying the COVID-19 pandemic when scholars are not afforded the luxury of extended time periods to determine precise magnitudes of relationships between variables. Over the course of this chapter, we define each technique, illustrate how they are applied in the context of seminal strategic management research, offer guidelines for interpreting corresponding results, and delineate further considerations. © 2021 Emerald Publishing Limited.","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128243354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction to research methods in times of crisis: The case of covid-19","authors":"A. Hill, J. Lê, A. Mckenny, P. O’Kane, Sotirios Paroutis, Anne D. Smith","doi":"10.1108/S1479-838720210000013001","DOIUrl":"https://doi.org/10.1108/S1479-838720210000013001","url":null,"abstract":"","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128160448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing Methodological Thought and Practice","authors":"","doi":"10.1108/s1479-8387202012","DOIUrl":"https://doi.org/10.1108/s1479-8387202012","url":null,"abstract":"","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125453479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Standing on the Shoulders of Giants","authors":"J. Tasker","doi":"10.1108/s1479-8387201911","DOIUrl":"https://doi.org/10.1108/s1479-8387201911","url":null,"abstract":"","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114877242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Timing is Everything: Multilevel Event History Analysis as a Tool to Model Change Over Time in Social Ventures","authors":"D. DeGeest, Ernest H. O’Boyle","doi":"10.1108/S1479-838720140000009016","DOIUrl":"https://doi.org/10.1108/S1479-838720140000009016","url":null,"abstract":"Originality/value\u0000This chapter introduces an analytic technique to social entrepreneurship that effectively models changes in predictors and outcomes even when data are non-normal or nested across time or levels of analysis.","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123231216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Study Packages in Organizational Science Research","authors":"Wayne A. Hochwarter, G. R. Ferris, T. J. Hanes","doi":"10.1108/S1479-8387(2011)0000006005","DOIUrl":"https://doi.org/10.1108/S1479-8387(2011)0000006005","url":null,"abstract":"Purpose – The purpose of this chapter is to examine the frequency of multi-study research packages in the organizational sciences and advocate for their use by detailing strengths and recognizing limitations. \u0000 \u0000Methodology/approach – Philosophy of science research, focusing on multi-study research packages, is discussed followed by a 20-year review of incidence of these packages in top organizational sciences journals. \u0000 \u0000Findings – The publication of multi-study research packages have increased over the past 10 years, most notably in micro-level journals. \u0000 \u0000Social implications – For reasons of validity and generalizability, society benefits if scholars adopt multi-study approaches to knowledge generation and disseminate. \u0000 \u0000Originality/value of the chapter – This chapter provides the most comprehensive review of multiple-study research packages in the organizational sciences to date, examining publication trends in eight leading micro-and macro-level journals. We also summarize the use of multi-study packages in our own research and offer recommendations for improving the science of replication.","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126705075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leader–Member Exchange (LMX) Measurement: Evidence for Consensus, Construct Breadth, and Discriminant Validity","authors":"Dana L Joseph, Daniel A. Newman, Hock-Peng Sin","doi":"10.1108/S1479-8387(2011)0000006012","DOIUrl":"https://doi.org/10.1108/S1479-8387(2011)0000006012","url":null,"abstract":"Purpose – This chapter (a) summarizes leader–member exchange (LMX) measurement practices since the influential reviews by Schriesheim, Castro, and Cogliser (1999) and Gerstner and Day (1997), (b) clarifies the status of LMX as a broad construct from a hierarchical factor model, (c) conducts multitrait-multimethod (MTMM) analyses on leader and follower reports of multidimensional LMX, and (d) investigates discriminant validity between Member LMX and satisfaction with supervisor. \u0000 \u0000Methodology/Approach – We used (a) a literature search of LMX measurement practices, (b) a combination of meta-analysis and factor analysis to specify the broad LMX construct underlying Liden and Maslyn's (1998) (LMX-MDM) multidimensional instrument, (c) MTMM analyses of leader and member ratings of the LMX-MDM, and (d) a combination of meta-analysis and multiple regression to assess incremental validity of Member LMX beyond satisfaction with supervisor. \u0000 \u0000Findings – Since 1999, 85% of LMX studies now use one of two dominant LMX scales (LMX-7, Scandura, & Graen, 1984; LMX-MDM, Liden & Maslyn, 1998). These two measures are correlated (rcorrected=.9), suggesting the LMX-7 and the LMX-MDM are alternate forms of the same instrument. 94% of studies that used these two measures treat LMX as a single, broad construct rather than as a multidimensional set of constructs. MTMM analyses suggest Leader LMX and Member LMX are two, separate-but-related constructs (i.e., confirming two source factors and no lower-order trait factors). Last, Member LMX meta-analytically correlates with satisfaction with supervisor at rcorrected=.8. There is some incremental validity of LMX, but the pattern is inconsistent across samples. \u0000 \u0000Social Implications – We point out that LMX researchers have now moved toward standard measurement of LMX – as a broad, higher-order factor that varies between leader and follower. By doing so, we reveal that the stage is set for cumulative and replicable research on leadership as a dyadic, follower-specific phenomenon. \u0000 \u0000Originality/Value of Paper – Our chapter is the first to reveal consensus in LMX measurement across studies; to summarize the standard treatment of LMX as a single, broad factor; and to apply MTMM analyses to demonstrate separate Leader LMX and Member LMX source factors.","PeriodicalId":207420,"journal":{"name":"Research Methodology in Strategy and Management","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131968510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}