<p>Businesses often have resource constraints in their efforts to address market needs, and as a result they seek strategic alliances and various partnerships with other businesses to achieve their shared objectives. Homogeneity among decision making units (DMUs) is assumed in the standard data envelopment analysis (DEA), but there are many real-life situations where DMUs make different set of outputs that nullifies the homogeneity assumption. Moreover, business partnerships may involve DMUs that are nonhomogeneous to achieve synergies, create enhanced value, and improve competitiveness. This paper introduces new DEA models for determining beneficial business partnerships between nonhomogeneous DMUs under input and output orientations. These models reveal the mutual gains of efficiency improvement for participating partners in nonhomogeneous business partnerships by redistributing partners’ resources. The paper also presents a novel application in banking with non homogeneity in products and services, to demonstrate the practicability of the developed DEA models in this study. The findings show how partnerships between banks with nonhomogeneous activities can enhance their efficiency.</p>

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New DEA models for business partnerships: evidence from nonhomogeneous banking

  • Gholam R. Amin,
  • Mustapha Ibn Boamah

摘要

Businesses often have resource constraints in their efforts to address market needs, and as a result they seek strategic alliances and various partnerships with other businesses to achieve their shared objectives. Homogeneity among decision making units (DMUs) is assumed in the standard data envelopment analysis (DEA), but there are many real-life situations where DMUs make different set of outputs that nullifies the homogeneity assumption. Moreover, business partnerships may involve DMUs that are nonhomogeneous to achieve synergies, create enhanced value, and improve competitiveness. This paper introduces new DEA models for determining beneficial business partnerships between nonhomogeneous DMUs under input and output orientations. These models reveal the mutual gains of efficiency improvement for participating partners in nonhomogeneous business partnerships by redistributing partners’ resources. The paper also presents a novel application in banking with non homogeneity in products and services, to demonstrate the practicability of the developed DEA models in this study. The findings show how partnerships between banks with nonhomogeneous activities can enhance their efficiency.