Identifying the intellectual structure of fields: introduction of the MAK approach
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Identifying the intellectual structure of fields: introduction of the MAK approach Mehmet Ali Köseoglu1 Received: 21 February 2020 © Akadémiai Kiadó, Budapest, Hungary 2020
Abstract This study introduces MAK approach to investigate intellectual structure of fields which combines text-net analysis (TNA), latent dirichlet allocation (LDA), and co-citation analysis. Researchers have previously deployed co-citation analysis to reveal the intellectual structure of fields. However, in these applications, the research has two technical limitations—small representativeness in datasets analyzed and the primary consideration for dated documents—towards the co-citation analysis. These limitations impede the formation of a larger picture in the structure. The present study seeks to eliminate these limitations by utilizing TNA and LDA methods as topic modeling approaches for 38,368 journal articles as references with 125,154 appearances in 2680 articles published between 1980 and 2019 in the Strategic Management Journal (SMJ). We suggest researchers should embrace MAK approach as complementary approach to research, with its focus on the intellectual structures of the field. We provide a workflow to show potential research applications and address advantages and limitations associated with the two new methods. Keywords Co-citation analysis · Text-net analysis · LDA · Strategic management
Introduction Where do we go next in a given discipline or field? This question has always been popular, since answering this question helps junior and senior researchers build or develop theories, and practitioners to find evidence for their solutions as part of their critical thinking procedures (Torraco 2016; Webster and Watson 2002). Hence, increasing demand from researchers, practitioners, and journal editors exists to investigate the intellectual structure of disciplines or fields to highlight past and present progress and future direction for these disciplines (Kunisch et al. 2018). To meet this demand, researchers focus on elucidating the intellectual structure of a given discipline as a significant founding factor (Bragge et al. 2019; García-Lillo et al. 2018). Intellectual structure of the discipline, also known as cocitation networks, intellectual connections, invisible colleges, social contagions, knowledge * Mehmet Ali Köseoglu [email protected] 1
School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Kowloon, Hong Kong
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Vol.:(0123456789)
Scientometrics
networks, knowledge domains, or source knowledge (Koseoglu et al. 2019), is a delineation of the discipline’s theme-based characteristics from its roots to its roof (Shafique 2013). In this study, the intellectual structure is considered as a congruity of theories, subfields, and their connections which constitute fundamentals of the discipline (Köseoglu et al. 2019). To unearth the intellectual structure of a given discipline, researchers have employed two methods. First, researchers share their experience or opinions to assess the
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