Banking is a popular topic for empirical and methodological research that applies
operational research (OR) and artificial intelligence (AI) methods. This article provides a …

The vast majority of DEA approaches assume that the decision making units under
assessment possess total autonomy in terms of resource allocation and production planning …

The family of optimization models of Data Envelopment Analysis (DEA) has been shown to
be very useful performance analytics tools that support benchmarking systems in measuring …

In practice, the concept of incentives is extensively applied in the allocation process for
guiding the behaviours of an organization's units to satisfy the goals of the organization …

An attractive feature of standard data envelopment analysis (DEA) is that decision-making
units (DMUs) are put in their best possible light. This is accomplished by not imposing any …

This paper proposes the concept of partial centralization in view of the problem of partition
and group governance in management practice, and based on this, an optimization model of …

Most studies on benchmarking in data envelopment analysis (DEA) focus on setting targets
on the “best practice frontier”, few of them pay attention to motivating decision-making units …

Abstract A Data Envelopment Analysis (DEA) method has been applied by the Brazilian
regulator to set regulatory operational costs for 61 electricity distribution utilities. Recent …

In practice, allocating common revenues or fixed costs is a common practice in multi-unit
organizations to motivate subunits to improve performance. Recently, Dai et al.(2021, EJOR) …

We propose techniques of classification of a potentially heterogeneous data set into groups
in a way that is consistent with the intended purpose of the clustering, which is Data …