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

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 Article

Business Research Methodologies and the need for Economies of Scale in the Business Research Process: Harnessing the Innovation Opportunities of Novel Technologies and Technological Change  pp179-190

Chris William Callaghan

© Sep 2019 Volume 17 Issue 3, Editor: Ann Brown, pp102 - 191

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Abstract

Theory and evidence suggests that returns to research and research and development are currently declining. This paper seeks to identify patterns in the use of business research methodologies in certain of the latest articles published at the forefront of the field of business research innovation, from its leading journal. This literature is used to identify the current front line of business research methodologies at the forefront of the field. Propositions are derived from novel theory, and are critically juxtaposed against identified topics and methodologies in these articles. In so doing, the conceptual distance of the front line of empirical research in the field from the radical front line of theory in the broader field is quantified. Methodological implications are discussed and recommendations are made for the development of a future research agenda.

 

Keywords: Research methodology; Innovation; Technology; Technological change; Management; Crowdsourcing

 

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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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Journal Issue

Volume 17 Issue 3 / Sep 2019  pp102‑191

Editor: Ann Brown

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Keywords: entrepreneurs, entrepreneurial skills, mixed-methods, qualitative, quantitative, Rigour, trustworthiness, auditability, credibility, transferability, methods pedagogy, TACT, Problem-based learning, teaching research methods, first year UG business students, business research process, thematic analysis, pattern matching, case study research, deductive qualitative analysis, leading organisational change, mixed method, social media research, Q factor analysis, Q methodology, Q study, Experimental Design; Factorial Surveys; Order-effects; Omitted-Variable Bias JEL Codes: C21; C91, Research methodology; Innovation; Technology; Technological change; Management; Crowdsourcing

 

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