Topics in the literature of transition economies and emerging markets

The research streams of transition economies and emerging markets have some common ground, but yet differ. The goal of this study is to provide a better understanding of the commonalities and differences regarding trends and topics of this cross-disciplinary research area. We employ the novel method of topic models on a corpus of nearly 6,000 articles in more than 600 journals from 1995 to 2012 to identify 25 topics and analyze their trends and use across scope (transition or emerging), disciplines (business or economics) and geography (countries or regions).

[1]  Pei-Chun Lee,et al.  Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight , 2010, Scientometrics.

[2]  John D. Lafferty,et al.  Dynamic topic models , 2006, ICML.

[3]  Oleh Havrylyshyn,et al.  Recovery and Growth in Transition: A Decade of Evidence , 2001, IMF Staff Papers.

[4]  Colm Kearney,et al.  Emerging Markets Research: Trends, Issues and Future Directions , 2012 .

[5]  David M. Blei,et al.  Probabilistic topic models , 2012, Commun. ACM.

[6]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[7]  Kurt Hornik,et al.  Text Mining Infrastructure in R , 2008 .

[8]  Jinho Choi,et al.  The organization of scientific knowledge: the structural characteristics of keyword networks , 2011, Scientometrics.

[9]  Joseph E. Stiglitz,et al.  Growth, Initial Conditions, Law and Speed of Privatization in Transition Countries: 11 Years Later , 2006 .

[10]  Peter Kirkpatrick.  Genomics: Look into the future , 2002, Nature Reviews Drug Discovery.

[11]  William Newburry,et al.  A cognitive map of the international business field , 1997 .

[12]  Katharina Maria Hofer,et al.  Conference proceedings as a matter of bibliometric studies: the Academy of International Business 2006–2008 , 2010, Scientometrics.

[13]  Lars Håkanson,et al.  The evolution of the international business field: a scientometric investigation of articles published in its premier journal , 2011, Scientometrics.

[14]  Peter J. Buckley,et al.  Is the International Business Research Agenda Running Out of Steam? , 2002 .

[15]  Hui-Ling Wang,et al.  A co-word analysis of digital library field in China , 2012, Scientometrics.

[16]  Angela Elisabeth Smejkal,et al.  The knowledge domain of the academy of international business studies (AIB) conferences: a longitudinal scientometric perspective for the years 2006–2011 , 2013, Scientometrics.

[17]  Mehran Sahami,et al.  Text Mining: Classification, Clustering, and Applications , 2009 .

[18]  Qingqiang Wu,et al.  Co-word analysis of the trends in stem cells field based on subject heading weighting , 2011, Scientometrics.

[19]  Kurt Hornik,et al.  topicmodels : An R Package for Fitting Topic Models , 2016 .

[20]  Cevdet A. Denizer,et al.  Patterns of transition from plan to market , 1996 .

[21]  Johann Hofherr,et al.  Mapping the research on aquaculture. A bibliometric analysis of aquaculture literature , 2011, Scientometrics.

[22]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[23]  Jean-Charles Lamirel.  A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research , 2012, Scientometrics.

[24]  D. Griffith,et al.  Emerging themes in international business research , 2008 .

[25]  Chong Wang,et al.  Reading Tea Leaves: How Humans Interpret Topic Models , 2009, NIPS.

[26]  Mark Steyvers,et al.  Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[27]  Vladimir Popov,et al.  Shock Therapy versus Gradualism Reconsidered: Lessons from Transition Economies after 15 Years of Reforms , 2007 .

[28]  John D. Lafferty,et al.  A correlated topic model of Science , 2007, 0708.3601.

[29]  魏屹东,et al.  Scientometrics , 2018, Encyclopedia of Big Data.

[30]  Nauro F. Campos,et al.  Article 2 , 2019, European Financial Services Law.

[31]  Ruslan Salakhutdinov,et al.  Evaluation methods for topic models , 2009, ICML '09.

[32]  Bangrae Lee,et al.  Mapping Korea’s national R&D domain of robot technology by using the co-word analysis , 2008, Scientometrics.

[33]  Jean Pierre Courtial,et al.  Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry , 1991, Scientometrics.

[34]  Ai-Gul S. Seitenova,et al.  Kazakhstan's Pension System : Pressures for Change and Dramatic Reforms , 2004 .

[35]  Carlos A. Végh,et al.  Economies in Transition: The Beginnings of Growth , 1996 .

[36]  Min Song,et al.  Detecting the knowledge structure of bioinformatics by mining full-text collections , 2012, Scientometrics.

[37]  C. Elkan,et al.  Topic Models , 2008 .