TY - JOUR
T1 - Evaluating the Efficiencies of Academic Research Groups
T2 - A Problem of Shared Outputs
AU - Avilés-Sacoto, Sonia Valeria
AU - Cook, Wade D.
AU - Güemes-Castorena, David
AU - Benita, Francisco
AU - Ceballos, Hector
AU - Zhu, Joe
N1 - Publisher Copyright:
© 2018 World Scientific Publishing Co.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Data envelopment analysis (DEA) is a methodology for evaluating the relative efficiencies of a set of decision-making units (DMUs), based on their multiple inputs and outputs. The original model is based on the assumption that DMUs operate independently of one another. However, this assumption may not apply in some situations, as in the case we present in this paper, in which DMUs can work together to produce joint outputs. What makes it more interesting is the situation in which this characteristic of sharing outputs among some DMUs differs from one DMU to another; this makes it more challenging to determine independent efficiency scores that cater for this phenomenon. To address this, the current paper presents a methodology for measuring efficiency in situations in which DMUs share outputs with other units. We examine the case of a set of research groups in a Mexican university. For this study, the inputs used are professors belonging to various groups, and outputs are the published journal articles, some of which are produced completely within a group, whereas others arise from collaboration with professors from other research groups. Jointly published articles form a link connecting the groups.
AB - Data envelopment analysis (DEA) is a methodology for evaluating the relative efficiencies of a set of decision-making units (DMUs), based on their multiple inputs and outputs. The original model is based on the assumption that DMUs operate independently of one another. However, this assumption may not apply in some situations, as in the case we present in this paper, in which DMUs can work together to produce joint outputs. What makes it more interesting is the situation in which this characteristic of sharing outputs among some DMUs differs from one DMU to another; this makes it more challenging to determine independent efficiency scores that cater for this phenomenon. To address this, the current paper presents a methodology for measuring efficiency in situations in which DMUs share outputs with other units. We examine the case of a set of research groups in a Mexican university. For this study, the inputs used are professors belonging to various groups, and outputs are the published journal articles, some of which are produced completely within a group, whereas others arise from collaboration with professors from other research groups. Jointly published articles form a link connecting the groups.
KW - DEA
KW - DMU dependence
KW - cooperation
KW - research groups
KW - shared outputs
UR - http://www.scopus.com/inward/record.url?scp=85056856964&partnerID=8YFLogxK
U2 - 10.1142/S0217595918500422
DO - 10.1142/S0217595918500422
M3 - Artículo
AN - SCOPUS:85056856964
SN - 0217-5959
VL - 35
JO - Asia-Pacific Journal of Operational Research
JF - Asia-Pacific Journal of Operational Research
IS - 6
M1 - 1850042
ER -