Modelling undesirable products in non-parametric performance analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fateme Seihani Parashkouh ◽  
Sohrab Kordrostami ◽  
Alireza Amirteimoori ◽  
Armin Ghane-Kanafi
Keyword(s):  
Performance Analysis ◽  
Production Technology ◽  
Relative Efficiency ◽  
New Technology ◽  
Undesirable Outputs ◽  
Analysis Model ◽  
Content Type ◽  
Weak Disposability ◽  
Definition Of ◽  
Bad Outputs

Purpose The purpose of this paper is introducing an alternative model to measure the relative efficiency of observations with undesirable products. Describing the reference set and benchmarking. Design/methodology/approach In this paper, an alternative definition of weak disposability assumption is introduced to handle undesirable outputs. Actually, two types of undesirable outputs are addressed and a substitute definition of weak disposability is presented. Findings Using this assumption a linear production technology set along with a performance analysis model is constructed to assess the relative efficiency of the decision-making units. To illustrate the radial application of the proposed approach, a real case on transportation system of USA during 1992-2009 is given. Originality/value To date, data envelopment analysis studies have investigated undesirable outputs by the assumption of weak disposability, defined as the proportional contraction of good and bad products, which leads to the null-joint assumption between good and bad outputs. Therefore, the only way to produce no undesirable outputs is producing zero desirable outputs. So the production process should be stopped while it is not economically cost-effective. However, in some processes there are some undesirable outputs, which are decreased with non-same percentages. So these undesirable outputs can be stopped while the good outputs have a strictly positive value. In this situation, the good outputs are not null-joint with this type of bad outputs. In the current paper, a new definition of the weak disposability of outputs was represented while two groups of undesirable outputs were considered. Hence, desirable outputs and the first kind of undesirable outputs were decreased proportionally. However, the reduction value was different for the second kind of undesirable outputs. Hence, the null-joint assumption is removed from the production technology. Then, a new technology was proposed based on five postulates as inclusion of observations, free disposability of desirable outputs and inputs, new weak disposability, convexity and minimum extrapolation.

Negative grey relational model and measurement of the reverse incentive effect of fields medal

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sifeng Liu
Keyword(s):  
Grey Relational Analysis ◽  
Research Output ◽  
Analysis Model ◽  
Content Type ◽  
Relational Analysis ◽  
Fields Medal ◽  
Definition Of ◽  
Grey Relational ◽  
Analysis Models ◽  
The Relationship

PurposeThe purpose of this paper is to construct some negative grey relational analysis models to measure the relationship between reverse sequences.Design/methodology/approachThe definition of reverse sequence has been given at first based on analysis of relative position and change trend of sequences. Then, several different negative grey relational analysis models, such as the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model have been put forward based on the corresponding common grey relational analysis models. The properties of the new models have been studied.FindingsThe negative grey relational analysis models proposed in this paper can solve the problem of relationship measurement of reverse sequences effectively. All the new negative grey relational degree satisfying the requirements of normalization and reversibility.Practical implicationsThe proposed negative grey relational analysis models can be used to measure the relationship between reverse sequences. As a living example, the reverse incentive effect of winning Fields Medal on the research output of winners is measured based on the research output data of the medalists and the contenders using the proposed negative grey relational analysis model.Originality/valueThe definition of reverse sequence and the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model are first proposed in this paper.

Bank supply chain efficiency analysis based on regional heterogeneity: a data-driven empirical study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yu Jiang ◽  
Mingjun Li ◽  
Panpan Xia
Keyword(s):  
Relative Efficiency ◽  
Optimal Allocation ◽  
Banking Industry ◽  
Data Envelopment Analysis Model ◽  
Business Practices ◽  
Analysis Model ◽  
Regional Heterogeneity ◽  
Two Stage ◽  
Content Type ◽  
The Impact

PurposeBanking is the key industry to guarantee the core leading role of finance in the process of economic development. It is important to study the bank efficiency and optimal allocation of bank’s resources. The purpose of our paper is to study the optimal allocation of resources between the bank savings system and loan system under the premise of environmental heterogeneity.Design/methodology/approachWe use a two-stage meta-frontier Data Envelopment Analysis model to solve the relative efficiency of each city branch and use the multivariate statistical tools to analyze the empirical results.FindingsThis paper measures the relative efficiency of 16 Bank Branches of a state-owned bank in Anhui province considering regional heterogeneity. Based on the optimal resource allocation, we get the two-stage operation performance of all banks under group-frontier and meta-frontier and analyze the impact of the technical differences between the branches.Originality/valueThis study has a positive guiding significance for the banking industry to improve its operational efficiency in various business practices in the new era of big data. It will also provide practical suggestions and support for the government and relevant departments in the process of formulating macro-policies to ensure the healthy and stable development of the banking industry.

Creation of value for business from the importance-performance analysis: the case of health clubs

2019 ◽  
Vol 23 (2) ◽  
pp. 199-215 ◽  
Author(s):  
Elsa Vieira ◽  
João J. Ferreira ◽  
Ricardo São João
Keyword(s):  
Performance Analysis ◽  
Characteristic Curve ◽  
Content Type ◽  
Support Tool ◽  
Emergency Procedures ◽  
Latent Demand ◽  
Health Club ◽  
Health Clubs ◽  
Study Population ◽  
Definition Of

Purpose The blue ocean strategy refers to how rebuilding the inputs that customers value in the designing of a new value curve fundamentally requires a four field of action structure: reduce, eliminate, create and raise. However, this does not propose a methodology to identify these fields of action. Hence, the purpose of this study is to present importance-performance analysis (IPA), as a support tool to identify these fields of action given their relevance and utility to managers. Design/methodology/approach The 101 ex-customers of health club answered a survey to determine the cut-off boundaries for IPA, and therefore, maximising the discriminatory power of the logistical regression model. This correspondingly incorporated the evaluation of both the area below the receiver operating characteristic curve (ROC) and the adoption of coefficients for concordance and correlation. Findings The research results demonstrate the need to concentrate efforts on the attributes of: price, responses to complaints, emergency procedures, innovative services, changing rooms, support for selecting the activities members choose to undertake and an appropriate number of members per activity. With low levels of performance and importance, are candidates for elimination, specifically, the availability of specialist appointments, member socialisation activities, maintaining memories of members, bar services and services for children. Originality/value The contribution: presenting an IPA methodology applicable to identify the fields of action recognised by the blue ocean strategy as the literature currently only covers concrete situations in which organisations achieve success through reducing, eliminating, creating and elevating and does not set out any methodology to identify those same fields of action; the definition of the cut-off points in IPA based on the ROC curve, which is a more rigorous and exact statistical method than that applied in other studies; the study population, the ex-customers, who not only represent a very important source of latent demand but also because ex-customers are likely to return more impartial.

scholarly journals Dynamic Data Envelopment Analysis Model Involving Undesirable Outputs in the Electricity Power Generation Sector: The Case of Latin America and the Caribbean Countries

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6624
Author(s):  
Sebastian Cuadros ◽  
Yeny E. Rodríguez ◽  
Javier Contreras
Keyword(s):  
Data Envelopment Analysis ◽  
Latin American ◽  
Electricity Generation ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Analysis Model ◽  
Policy Makers ◽  
Weak Disposability ◽  
Relevant Task

Studying the evolution of the efficiency of the electricity generation sector is a relevant task for policy makers, and requires the undesirable outputs derived from the activity to be considered in the evaluation. In this work, we propose a dynamic slack-based Data Envelopment Analysis (DEA) model that incorporates the assumption of weak disposability between the generation of electricity from fossil sources and the CO2 emissions caused by the sector to measure the technical efficiency of 24 Latin American and Caribbean countries in the period 2000–2016. The results show that, of the total number of countries studied, four are efficient overall, and four groupings of countries in relation to the levels of efficiency achieved are also identified. These results are important given that less-efficient countries can, through learning, increase their efficiency in electricity generation or emulate the future strategies proposed by the most efficient countries.

Relative Efficiency of Decision Making Units Producing Both Desirable and Undesirable Outputs: A Case of Textile Processing Units in Pakistan.

2011 ◽  
Vol 50 (4II) ◽  
pp. 685-698
Author(s):  
Samina Khalil
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Value Added ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Textile Processing ◽  
Decision Making Unit ◽  
Desirable And Undesirable Outputs ◽  
Decision Making Units

This paper aims at measuring the relative efficiency of the most polluting industry in terms of water pollution in Pakistan. The textile processing is country‘s leading sub sector in textile manufacturing with regard to value added production, export, employment, and foreign exchange earnings. The data envelopment analysis technique is employed to estimate the relative efficiency of decision making units that uses several inputs to produce desirable and undesirable outputs. The efficiency scores of all manufacturing units exhibit the environmental consciousness of few producers is which may be due to state regulations to control pollution but overall the situation is far from satisfactory. Effective measures and instruments are still needed to check the rising pollution levels in water resources discharged by textile processing industry of the country. JEL classification: L67, Q53 Keywords: Data Envelopment Analysis (DEA), Decision Making Unit (DMU), Relative Efficiency, Undesirable Output

Financial capabilities development: essential discourse in social work

2019 ◽  
Vol 46 (10) ◽  
pp. 1234-1246
Author(s):  
Lambert K. Engelbrecht ◽  
Abigail Ornellas
Keyword(s):  
Sustainable Development ◽  
Social Work ◽  
Financial Literacy ◽  
Community Education ◽  
Work Practice ◽  
Well Being ◽  
Social Work Practice ◽  
Content Type ◽  
Vulnerable Households ◽  
Definition Of

Purpose Within a neoliberal environment, financial vulnerability of households has become an increasing challenge and there is a requirement of financial literacy education, a necessary activity to facilitate sustainable development and well-being. However, this is seldom a mainstream discourse in social work deliberations. The paper aims to discuss these issues. Design/methodology/approach First, introducing the neoliberal impact on financial well-being and capability for vulnerable households, the authors’ postulation is substantiated on a seven-point argument. The contexts of financially vulnerable households are sketched. Second, a conceptualisation of financial literacy is offered, and third, perspectives on and approaches to financial literacy as a fundamental capability are presented. This is followed by a theoretical foundation of community education as a practice model in social work to develop financial capabilities. In the fifth place, prevailing practices of Financial Capabilities Development (FCD) programmes are offered. Subsequently, the implications of a neoliberal environment for social work practice are examined. Findings The revised global definition of social work encourages the profession to understand and address the structural causes of social problems through collective interventions. As a response, it is argued that community education towards FCD of vulnerable households within a neoliberal environment should be an essential discourse in social development. Originality/value The authors reflect on the significance of FCD, highlighting its contribution towards human security and sustainable development. Although this paper draws on Southern African contexts, the discourse finds resonance in other contexts across the world.

Collaborative design in public services: a wicked problem-reframing case

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrícia Moura e Sá ◽  
Catarina Frade ◽  
Fernanda Jesus ◽  
Mónica Lopes ◽  
Teresa Maneca Lima ◽  
...  
Keyword(s):  
Collaborative Design ◽  
Success Factors ◽  
Central Government ◽  
Wicked Problem ◽  
Low Density ◽  
Structured Interviews ◽  
Content Type ◽  
Critical Success ◽  
Definition Of ◽  
The Right

PurposeWicked problems require collaborative innovation approaches. Understanding the problem from the users' perspective is essential. Based on a complex and ill-defined case, the purpose of the current paper is to identify some critical success factors in defining the “right problem” to be addressed.Design/methodology/approachAn empirical research study was carried out in a low-density municipality (case study). Extensive data were collected from official databases, individual semi-structured interviews and a focus group involving citizens, local authorities, civil servants and other relevant stakeholders.FindingsAs defined by the central government, the problem to be addressed by the research team was to identify which justice services should be made available locally to a small- and low-density community. The problem was initially formulated using top-down reasoning. In-depth contact with citizens and key local players revealed that the lack of justice services was not “the issue” for that community. Mobility constraints and the shortage of economic opportunities had a considerable impact on the lack of demand for justice services. By using a bottom-up perspective, it was possible to reframe the problem to be addressed and suggest a new concept to be tested at later stages.Social implicationsThe approach followed called attention to the importance of listening to citizens and local organisations with a profound knowledge of the territory to effectively identify and circumscribe a local problem in the justice field.Originality/valueThe paper highlights the limitations of traditional rational problem-solving approaches and contributes to expanding the voice-of-the-customer principle showing how it can lead to a substantially new definition of the problem to be addressed.

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