Citation Analysis of Recent Acquisition Research

2019/04/15

Categories: strategy business Tags: acquisition

1 Sample and Data

The sample used in this analysis contains 160 articles on “mergers and acquisitions” published on top management and finance journals since 2008.

2 Central Themes

2.1 Network of Co-occurrence Keywords

This graph shows the most common themes (top 30 co-occuring keywords) of these papers.

2.2 MDS Mapping of the Conceptual Structure

We can use MDS (Multi-dimentional Scaling) and Dendrogram to map the distance/dissimilarity among the themes.

3 Central Papers

3.1 the “Main Stream” Papers

## [1] "most central papers (top 20) in bibliographic coupling network"
##   BARKEMA HG, 2008       KIM JY, 2009   NADOLSKA A, 2014 
##          1.0000000          0.8682856          0.8598660 
##       KIM JY, 2011 HALEBLIAN JJ, 2017   GORANOVA M, 2010 
##          0.8555986          0.8210859          0.7714827 
##    DEVERS CE, 2013 STEINBACH AL, 2017      KROLL M, 2008 
##          0.7253757          0.7121932          0.7104844 
##  MUEHLFELD K, 2012  EL-KHATIB R, 2015     ELLIS KM, 2011 
##          0.6669592          0.6612580          0.6551406 
##  MCDONALD ML, 2008      SHI W, 2017-1 HEIMERIKS KH, 2012 
##          0.6185902          0.5899796          0.5799630 
##  GRAEBNER ME, 2009      ZOLLO M, 2009     ELLIS KM, 2009 
##          0.5753946          0.5740604          0.5715228 
##        YIM S, 2013      ZOLLO M, 2010 
##          0.5578773          0.5558791

To identify the “main stream” papers, we can construct a “bibliographic coupling” (BC) network to see which papers co-cited the same prior research with other papers. The top 20 “main stream” (by eigenvector centrality in the BC network) papers.

3.2 the “Classic” Papers

## [1] "most central papers (top 20) in co-citation network"
##    MOELLER SB 2004   HALEBLIAN J 1999     JENSEN MC 1986 
##          1.0000000          0.9891969          0.9313744 
##       MORCK R 1990   HAYWARD MLA 2002 HASPESLAGH P. 1991 
##          0.8737119          0.8477468          0.7896179 
##   HAYWARD MLA 1997       KING DR 2004        ROLL R 1986 
##          0.7119846          0.7104482          0.6958790 
##       ZOLLO M 2004    MASULIS RW 2007  MOELLER SB 2005-1 
##          0.6931354          0.6809497          0.6665792 
##     ASQUITH P 1983     ANDRADE G 2001     JENSEN MC 1976 
##          0.6269530          0.6209498          0.5782434 
##  MALMENDIER U 2008  HALEBLIAN JJ 2006      FULLER K 2002 
##          0.5702609          0.5595749          0.5314969 
##  HECKMAN JJ 1979-1     GOMPERS P 2003 
##          0.5272799          0.5248858

To identify the “classic” papers, we can construct a “co-citation” (CC) network to see which papers are cited together with other papers by later researchers. The top 20 “classic” (by eigenvector centrality in the CC network) papers.


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