The Electronic Journal of Business Research Methods provides perspectives on topics relevant to research in the field of business and management
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Journal Article

Considerations for Multidisciplinary, Culturally Sensitive, Mixed Methods Research  pp36-47

Dorothy Wardale, Roslyn Cameron, Jun Li

© Dec 2015 Volume 13 Issue 1, Mixed Methods, Editor: Ros Cameron, pp1 - 61

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Abstract

Abstract: Undertaking a mixed methods research study requires competencies and technical skills in both or all methods being utilised. This is made even more complex with a multi‑disciplinary research team and a culturally sensitive research context that researchers need to take into account when making methodological choices around research design and data collection approaches and techniques. The paper expands on these issues whilst taking the reader through the research process and the culturally sensi tive issues that the research team faced. The multidisciplinarity of the research team is described followed by the decision to use a mixed method approach. An explanatory sequential mixed methods research design (Creswell and Plano Clark 2011) was util ised which involved quantitative followed by qualitative data. Literature on culturally sensitive research approaches is presented as a forerunner to the methodological decisions made by the research team in terms of actual data collection and associated data collection instruments and processes. The paper provides some valuable insights and techniques on methodological choices and approaches taken by a multi‑disciplinary team in a culturally sensitive context. Actual empirical data from the study is the refore not presented. We utilise a mixed methods research design where the weakness of one type of data collection instrument is off set by the strengths of the other and where the skills and cultural mix of the research team is leveraged to achieve a mor e robust and rigorous study. The paper makes a contribution to research methodology in several ways, through providing ideas about how to best leverage the diversity from within a multidisciplinary research team, the strengths of using mixed methods as op posed to mono methods and the application of culturally sensitive techniques in both quantitative data collection and qualitative data collection.

 

Keywords: Keywords: mixed methods, multidisciplinary teams, culturally sensitive, leadership development, gas industry, Australia, China

 

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Journal Article

Social Physics, Crowdsourcing and Multicultural Collaborative Research Practice in the Social Sciences: E Pluribus Unum?  pp17-28

David A.L Coldwell

© Apr 2017 Volume 15 Issue 1, Editor: Ann Brown, pp1 - 56

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Abstract

The possibility of there being an investigator with the knowledge and ability to understand, let alone digest the data embraced by the boundaries of social scientific disciplines seems very remote. However research investigators in the human sciences might in their quest for greater validity and wider generalization in their concepts and theories, adopt a different scientific perspective in addition to its currently most prevalent hypothetico‑deductive approach. The proposed approach made in the paper corresponds more to Baconian‑type methods and those adopted by Darwin in his theory of evolution and involves the use of large data sets of the kind made available by the methodological approaches of social physics and crowdsourcing. The paper suggests that large data sets can be analyzed effectively in multi‑disciplinary, cross‑cultural collaborative research contexts, and a case study illustrating a collaborative research process is described in detail to demonstrate this point. The paper maintains that through the combined utilization of scientific approaches and large data gathering techniques made available through new technologies, it may be possible to generate comprehensively valid empirical and theoretical wholes across the human sciences.

 

Keywords: Social Physics, crowdsourcing, multicultural, multidisciplinary, collaborative research, social sciences.

 

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Journal Issue

Volume 15 Issue 1 / Apr 2017  pp1‑56

Editor: Ann Brown

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Keywords: big data, business intelligence, qualitative research method, social media analysis, text mining, text analytics, Social Physics, crowdsourcing, multicultural, multidisciplinary, collaborative research, social sciences, Knowledge Cafés, Theory refinement, Theoretical conjectures, Research Methodology, Hermeneutics, Multiple imputation by chained equations, MICE, missing data, guidelines, review, R

 

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