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author:

Shi, H.-L. (Shi, H.-L..) [1] | Wang, Y.-M. (Wang, Y.-M..) [2] | Chen, S.-Q. (Chen, S.-Q..) [3] | Lan, Y.-X. (Lan, Y.-X..) [4]

Indexed by:

Scopus

Abstract:

Two-sided mergers and acquisitions (M&A) fits have been regarded as a critical step, which should always be taken by a bidder company when trying to identify suitable target companies prior to an M&A. This paper proposes an approach to two-sided M&A fits based on a cross-efficiency model with contrasting attitudes. In this approach, firstly, feasible M&A fits are screened using a preference function from an M&A fit matrix, according to the preferences of both the bidder companies and target companies in terms of efficiency and return to scale. Secondly, two-sided M&A fits are selected from a feasible M&A fit matrix, according to the value of cross-efficiency with contrasting attitudes. This allows for the existence of contrasting attitudes of peers toward an M&A fit, as opposed to the aggressive, benevolent or neutral cross-efficiency evaluation which consists of just one attitude (either aggressive, benevolent or indifferent). Finally, an illustrative example is given to explain the feasibility and validity of the two-sided M&A fit strategy. © 2016 The OR Society.

Keyword:

cross-efficiency evaluation with contrasting attitude; data envelopment analysis; efficiency and RTS; two-sided mergers and acquisitions (M&A) fits

Community:

  • [ 1 ] [Shi, H.-L.]Decision Sciences Institute, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Shi, H.-L.]School of Electronic Information Science, Fujianjiangxia University, Fuzhou, 350108, China
  • [ 3 ] [Wang, Y.-M.]Decision Sciences Institute, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Chen, S.-Q.]Decision Sciences Institute, Fuzhou University, Fuzhou, 350116, China
  • [ 5 ] [Chen, S.-Q.]School of Electronic Information Science, Fujianjiangxia University, Fuzhou, 350108, China
  • [ 6 ] [Lan, Y.-X.]Decision Sciences Institute, Fuzhou University, Fuzhou, 350116, China

Reprint 's Address:

  • [Wang, Y.-M.]Decision Sciences Institute, Fuzhou UniversityChina

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Source :

Journal of the Operational Research Society

ISSN: 0160-5682

Year: 2017

Issue: 1

Volume: 68

Page: 41-52

1 . 3 9 6

JCR@2017

2 . 7 0 0

JCR@2023

ESI HC Threshold:177

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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