On the need for reform of the portuguese judicial system - does data envelopment analysis assessment support it?

The Portuguese judicial system has attracted considerable criticism in recent years and demands for reforms have gained prominence. By using the Data Envelopment Analysis technique and focusing on the performance of 223 Portuguese first instance courts during the period of 2007 to 2011, this research has found evidence that supports some of this criticism and justifies the calls for reforms, better performance and accountability of the judicial system. In particular, our results found a sector with considerable scope for improvement with less than 16 percent of the 223 courts analysed making an efficient use of their resources in each year and with only one third of the courts being considered efficient in at least one of the five years assessed. Whilst the results suggest that improvement can be achieved with better case management, scale factors also seem to play an important role in explaining inefficiency, with most of the inefficient courts being smaller than optimal and with smaller courts being, on average, less efficient than larger ones. The existence of a statistically significant relationship between courts’ efficiency and size was confirmed by the Mann-Whitney test. These results indicate considerable scope for improvement and that some of the planned reforms are timely and seem well targeted. However, the results also suggest that efficiency increases matching peers’ best practices are not enough to sustainably reduce the prevailing judicial backlog and length of court proceedings in a considerable number of courts. Major changes in the capacity and/or functioning of the Portuguese judicial system might also be required

Strategic Behaviour under Regulation Benchmarking

Liberalisation of generation and supply activities in the electricity sectors is often followed by regulatory reform of distribution networks. In order to improve the efficiency of distribution utilities, some regulators have adopted incentive regulation schemes that rely on performance benchmarking. Although regulation benchmarking can influence the �regulation game�, the subject has received limited attention. This paper discusses how strategic behaviour can result in inefficient behaviour by firms. We also present a survey of issues encountered by electricity regulators. We then use the Data Envelopment Analysis (DEA) method with US utility data to examine implications of selected cases of strategic behaviour. The results show that gaming can have significant effects on the measured performance and profitability of firms

A Multiple Criteria Framework to Evaluate Bank Branch Potential Attractiveness

Remarkable progress has occurred over the years in the performance evaluation of bank branches. Even though financial measures are usually considered the most important in assessing branch viability, we posit that insufficient attention has been given to other factors that affect the branches’ potential profitability and attractiveness. Based on the integrated used of cognitive maps and MCDA techniques, we propose a framework that adds value to the way that potential attractiveness criteria to assess bank branches are selected and to the way that the trade-offs between those criteria are obtained. This framework is the result of a process involving several directors from the five largest banks operating in Portugal, and follows a constructivist approach. Our findings suggest that the use of cognitive maps systematically identifies previously omitted criteria that may assess potential attractiveness. The use of MCDA techniques may clarify and add transparency to the way trade-offs are dealt with. Advantages and disadvantages of the proposed framework are also discussed.

Monitoring utility performance and resolving conflicts

It can be argued that there are four sources of conflict in policy development and implementation: cognitive conflicts (based on technical disagreements regarding how scientific data might be interpreted), interest conflicts (where stakeholders obtain different benefits and costs under alternative policies), values conflicts (involving ideology or personal preferences regarding outcomes), and authority conflicts (stemming from jurisdictional disagreements). These potential sources of conflict characterize most politically-charged situations, with water supply management illustrating the interplay of these forces. Strategies for managing the four conflicts are reviewed: “balancing” competing goals, cycling between different objectives, making different agencies responsible for meeting specific goals, and relying on precedents to make decisions. Benchmarking (despite its limitations) is shown to be an important tool in conflict resolution, as it documents past performance, establishes baselines for gauging improvements, and makes comparisons across service providers

Pushing the Frontier of Sustainable Service Operations Management: Evidence from US hospitality industry

Purpose: The purpose of this study is to develop a performance measurement system of environmental sustainability in service settings and to empirically examine the relationship between the measured environmental sustainability and operating performance. Design/methodology/approach: This study applies exploratory factor analysis (EFA) to a six-year panel dataset of 984 US hotels to construct a two-factor standardized measure of environmental sustainability. The authors then conduct a stochastic frontier analysis (SFA) to investigate the relationship between the measured environmental sustainability and the operating performance frontier, considering the impact of operating structure. Findings: Customer behavior and operational decisions are two key drivers of environmental sustainability. There is a positive link between environmental sustainability and operating performance. Operating structure has a significant impact on the operating performance. The performance frontier varies across market segment and location characteristics such as degree of urbanization and climate condition. Practical implications: The findings indicate that service providers should actively involve customers, and manage both front-office and back-office operations in environmental sustainability initiatives. Operating structures that favor the alignment of multiple service supply chain partners’ interests contribute positively to performance. The managers should be mindful of varying best-in-class performance due to operating unit characteristics such as market segment, and location characteristics. Originality/value: This study is among the first attempts to develop a performance measurement system of environmental sustainability. The resulted standardized measure of environmental sustainability considers both the revenue and cost impacts in service operations. This research is among the first generation of papers that bring the unique characteristics of service operations, particularly service co-production, into sustainability research

Monitoring bank performance in the presence of risk

This paper proposes a managerial control tool that integrates risk in efficiency measures. Building on existing efficiency specifications, our proposal reflects the real banking technology and accurately models the relationship between desirable and undesirable outputs. Specifically, the undesirable output is defined as nonperforming loans to capture credit risk, and is linked only to the relevant dimension of the output set. We empirically illustrate how our efficiency measure functions for managerial control purposes. The application considers a unique dataset of Costa Rican banks during 1998–2012. Results’ implications are mostly discussed at bank-level, and their interpretations are enhanced by using accounting ratios. We also show the usefulness of our tool for corporate governance by examining performance changes around executive turnover. Our findings confirm that appointing CEOs from outside the bank is associated with significantly higher performance ex post executive turnover, thus suggesting the potential benefits of new organisational practices.Peer ReviewedPostprint (author’s final draft

Strategic sourcing:a combined QFD and AHP approach in manufacturing

Purpose – This paper aims to develop an integrated analytical approach, combining quality function deployment (QFD) and analytic hierarchy process (AHP) approach, to enhance the effectiveness of sourcing decisions. Design/methodology/approach – In the approach, QFD is used to translate the company stakeholder requirements into multiple evaluating factors for supplier selection, which are used to benchmark the suppliers. AHP is used to determine the importance of evaluating factors and preference of each supplier with respect to each selection criterion. Findings – The effectiveness of the proposed approach is demonstrated by applying it to a UK-based automobile manufacturing company. With QFD, the evaluating factors are related to the strategic intent of the company through the involvement of concerned stakeholders. This ensures successful strategic sourcing. The application of AHP ensures consistent supplier performance measurement using benchmarking approach. Research limitations/implications – The proposed integrated approach can be principally adopted in other decision-making scenarios for effective management of the supply chain. Practical implications – The proposed integrated approach can be used as a group-based decision support system for supplier selection, in which all relevant stakeholders are involved to identify various quantitative and qualitative evaluating criteria, and their importance. Originality/value – Various approaches that can deal with multiple and conflicting criteria have been adopted for the supplier selection. However, they fail to consider the impact of business objectives and the requirements of company stakeholders in the identification of evaluating criteria for strategic supplier selection. The proposed integrated approach outranks the conventional approaches to supplier selection and supplier performance measurement because the sourcing strategy and supplier selection are derived from the corporate/business strategy

Observing choice of loan methods in not-for-profit microfinance using data envelopment snalysis

Distributing loan using group lending method is one of the unique features in microfinance, as it utilises peer monitoring and dynamic incentive to lower credit risks in extending collateral-free loan to the poor. However, many microfinance institutions (MFIs) eventually perceive it to be costly and restricting loan growth thereby resorted to individual lending method to enhance profitability. On the other hand, village banking method was developed to boost outreach and to create self-sustaining village microbanks. We thus seek to empirically observe the loan method – efficiency relationship and to examine the best loan method regionally; focusing on not-for-profit MFIs that are widely regarded as best microfinance provider. Non-oriented Data Envelopment Analysis with regional meta-frontier approach is used for efficiency assessment of 628 MFIs from 87 countries in 6 regions, followed by Tobit regression. We also investigated factors affecting efficiencies such as borrowings, total donation, cost per borrower (CPB), portfolio at risk (PAR), interest rates, MFI age, regulation status, and legal format. The results support our argument that appropriate performance analysis should best be performed on regional basis separately as we find different results for different region