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A New Approach For Considering A Dual-Role Factor In Data Envelopment Analysis, Abdollah Noorizadeh, Mahdi Mahdiloo, Reza Farzipoor Saen
A New Approach For Considering A Dual-Role Factor In Data Envelopment Analysis, Abdollah Noorizadeh, Mahdi Mahdiloo, Reza Farzipoor Saen
Sydney Business School - Papers
The conventional data envelopment analysis models deal with dualrole factor as non-discretionary (uncontrollable) factor. However, there might be dual-role factor which is under control of decision-maker. In addition, despite the fact that there are several publications addressing dual-role factors, it seems that their idea of classifying a factor as an input or an output within a single model has a limitation. They also do not consider non-zero input and output slacks and cannot fully measure the inefficiency of decision-making units. To resolve these limitations and to consider dual-role factor as well, this paper proposes a slacks-based measure model which does …
A Novel Data Envelopment Analysis Model For Solving Supplier Selection Problems With Undesirable Outputs And Lack Of Inputs, Mahdi Mahdiloo, Reza Farzipoor Saen, Madjid Tavana
A Novel Data Envelopment Analysis Model For Solving Supplier Selection Problems With Undesirable Outputs And Lack Of Inputs, Mahdi Mahdiloo, Reza Farzipoor Saen, Madjid Tavana
Sydney Business School - Papers
Supplier evaluation and selection problems are inherently multi-criteria decision problems. Numerous analytical techniques ranging from simple weighted scoring to complex mathematical programming approaches have been proposed to solve these problems. Data Envelopment Analysis (DEA) has been used to evaluate suppliers' performance when there are multiple inputs and outputs in the supplier selection problem. The DEA determines the relative efficiencies of multiple suppliers. These relative efficiencies are then used to provide benchmarking data for reducing the number of suppliers. The DEA models used for supplier selection require numerical data for all the inputs and outputs for all the suppliers. However, this …
Big Data As A Strategic Enabler Of Superior Emergency Service Management: Lessons From The New South Wales State Emergency Service, Samuel Fosso Wamba, Andrew Edwards, Rajeev Sharma
Big Data As A Strategic Enabler Of Superior Emergency Service Management: Lessons From The New South Wales State Emergency Service, Samuel Fosso Wamba, Andrew Edwards, Rajeev Sharma
Faculty of Business - Papers (Archive)
A unique form of organization that has not received much attention is the emergency services organization, which is tasked with responding to crises and disasters such as floods, fires, hurricanes, tsunamis, and other natural and man-made disasters. Effective responses in such situations are reliant on the availability of archived information as well as on the effective real-time integration and utilization of data coming from various channels including sensors, satellites, social media feeds, photos, video and cell phone GPS signals or 'Big Data' (IBM 2012; Rich 2012). The effective management of these events also requires the collaboration and coordination of a …
Biclustering: Overcoming Data Dimensionality Problems In Market Segmentation, Sara Dolnicar, Sebastian Kaiser, Katie Lazarevski, Friedrich Leisch
Biclustering: Overcoming Data Dimensionality Problems In Market Segmentation, Sara Dolnicar, Sebastian Kaiser, Katie Lazarevski, Friedrich Leisch
Faculty of Commerce - Papers (Archive)
Data-driven market segmentation is a popular and widely used segmentation method in tourism. It aims to identify market segments among tourists who are similar to each other, thus allowing a targeted marketing mix to be developed. Typically data used to segment tourists are characterized by small numbers of respondents and large numbers of survey questions. Small samples and numerous questions cause serious methodological problems that have typically been addressed by using factorcluster analysis to reduce the dimensionality of data. Recently, factor-cluster analysis has been shown as an unacceptable solution to the problem of high data dimensionality in segmentation. In this …
A Data Envelopment Analysis Model For Selecting Suppliers In The Presence Of Both Dual-Role Factors And Non-Discretionary Inputs, Abdollah Noorizadeh, Mahdi Mahdiloo, Reza Farzipoor Saen
A Data Envelopment Analysis Model For Selecting Suppliers In The Presence Of Both Dual-Role Factors And Non-Discretionary Inputs, Abdollah Noorizadeh, Mahdi Mahdiloo, Reza Farzipoor Saen
Sydney Business School - Papers
Supplier selection is the strategy adopted by the manufacturer, to evaluate and select suppliers, which can fulfil the requirements of the manufacturer. To this end, data envelopment analysis (DEA), as a multiple criteria decision-making tool, has been applied for several times. However, conventional DEA models cannot simultaneously consider dual-role and non-discretionary factors. The objective of this paper is to propose a DEA model for ranking suppliers in the presence of both dual-role factors and non-discretionary inputs. A numerical example demonstrates the application of the proposed model. 2012 Inderscience Enterprises Ltd.