Bootstrapped operating efficiency in container ports: a case study in Spain and Portugal

2019 ◽  
Vol 119 (4) ◽  
pp. 924-948 ◽  
Author(s):  
Antonio Gil Ropero ◽  
Ignacio Turias Dominguez ◽  
Maria del Mar Cerbán Jiménez

Purpose The purpose of this paper is to evaluate the functioning of the main Spanish and Portuguese containers ports to observe if they are operating below their production capabilities. Design/methodology/approach To achieve the above-mentioned objective, one possible method is to calculate the data envelopment analysis (DEA) efficiency, and the scale efficiency (SE) of targets, and in order to consider the variability across different samples, a bootstrap scheme has been applied. Findings The results showed that the DEA bootstrap-based approach can not only select a suitable unit which accords with a port’s actual input capabilities, but also provides a more accurate result. The bootstrapped results indicate that all ports do not need to develop future investments to expand port infrastructure. Practical implications The proposed DEA bootstrap-based approach provides useful implications in the robust measurement of port efficiency considering different samples. The study proves the usefulness of this approach as a decision-making tool in port efficiency. Originality/value This study is one of the first studies to apply bootstrap to measure port efficiency under the background of the Spain and Portugal case. In the first stage, two models of DEA have been used to obtain the pure technical, and the technical and SE, and both the input-oriented options: constant return scale and variable return scale. In the second stage, the bootstrap method has been applied in order to determine efficiency rankings of Iberian Peninsula container ports taking into consideration different samples. Confidence interval estimates of efficiency for each port are reported. This paper provides useful insights into the application of a DEA bootstrap-based approach as a modeling tool to aid decision making in measuring port efficiency.

2018 ◽  
Vol 35 (10) ◽  
pp. 2119-2135
Author(s):  
Muhammad Asif ◽  
Muhammad Shahzad ◽  
Muhammad Usman Awan ◽  
Huseyin Akdogan

Purpose The growing emphasis on “managerialism” in police and the pressure to employ scientific methods of performance measurement warrants the need for a structured framework. The scope of police duties is large as it relates to several preventive and corrective action related to public safety and crime management. A challenge in measuring police performance is to take into consideration a range of variables that can potentially influence performance. The purpose of this paper is to provide a structured framework for measuring different facets of police efficiency, which is especially useful in managerial decision making. Design/methodology/approach This paper uses data envelopment analysis and discusses efficiency measurement in terms of the technical, managerial and scale efficiency, resources utilization patterns, returns-to-scale analysis and measurement of super-efficiency. The application of framework is based on the data of the police stations of Lahore, a large metropolitan city in Pakistan. Findings The paper shows the application of different measures of efficiency in making decisions pertaining resources allocation, prioritizing areas for improvement and identifying benchmarks for performance improvement. Different measures of efficiency are presented in the form of a structured framework. Practical implications Managers can use this framework to glean rich insights into different types of efficiency and sources of inefficiency. Further, a discussion of variables provided in this paper can be especially useful in determining trade-offs during the selection of inputs and outputs. Originality/value The key contribution of this paper is in providing a multifaceted efficiency measurement framework, that is capable of providing rich insights into the sources of inefficiency and helps scientific decision making. To the best of our knowledge, such a multifaceted approach has not been provided in previous publications.


2019 ◽  
Vol 4 (1) ◽  
pp. 71-93
Author(s):  
Xiyi Yang ◽  
Tsz Leung Yip

Purpose This study aims to investigate the efficiency changes of 23 major Asian container ports for the period from 2000 to 2007. In addition to assess the general trend, it also attempts to decompose the overall efficiency change into technological efficiency change, technical efficiency change and scale efficiency change to help port authorities to devise operational strategies. Design/methodology/approach The Malmquist index method is used, which is derived from data envelopment analysis. In this model, technological improvement comes from using state-of-the-art technologies, technical improvement is from rationalizing of port inputs and scale efficiency is from adjustment of port operational scales. Findings On average, the investigated ports have improved their efficiencies by 14.3 per cent. Such efficiency gains can be attributed to a 41 per cent increase in pure technical efficiency, a 47.5 per cent increase in scale efficiency and a 30.5 per cent decrease in technological efficiency. The scale efficiency contributes the most to the overall efficiency improvement, while technical and technological effects seem to have less impact. The fact that technological efficiency has little variance seems to suggest that this source of efficiency gain may not bring substantial competitive advantage. Research limitations/implications The sample period is 2000-2007, so the impact from the Asian financial crisis or the economic downturn was not covered. Also, the port throughputs data do not separate shipment and transhipment. Originality/value This study provides valuable suggestions to improve efficiency for container ports along the “Maritime Silk Road.”


2019 ◽  
Vol 12 (3) ◽  
pp. 121-150
Author(s):  
Omar Khalid Bhatti ◽  
Ali Raza Hanjra

Purpose This paper aims to attempt to investigate if the now-existing upstream Sost Dry Port in Gilgit-Baltistan and the prospective midstream Havelian Dry Port in Khyber Pakhtunkhwa, both part of One Belt One Road (OBOR), are expected to compete against or complement each other in terms of port efficiency and location, and which of the two ports should first be developed in the wake of uninterrupted logistics flow of cargo on the Economic Corridor. Design/methodology/approach Analytic hierarchy process (AHP) has been used for multi-criteria decision making by the stakeholders. Five main criteria for transhipment port selection, ranging from port location, port efficiency, intermodal connectivity, port costs and cargo volume were used with three sub-criteria each. Findings This study demonstrates the results that favour physical infrastructural development initiatives prioritized for the Sost Dry Port in view of its strategic location as the upstream supply chain node on the Economic Corridor, imparting efficiency to the logistics flow. Practical implications Results of this study may assist policymakers in achieving goals like enhancing trade facilitation, reducing congestion and increasing cargo security on OBOR. Originality/value To the best of the authors’ knowledge, this is the first study of its kind that analyzes priority for immediate development intervention for either Sost or Havelian Dry Port, both located on CPEC – OBOR supply chain.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhiguang Li ◽  
Yaokuang Li ◽  
Dan Long

PurposeFrom the perspective of cause and effect, the operational processes of property insurance companies can be considered as historical events. The purpose of this study is to measure the operating efficiency of China's property insurance industry, explore the determinants that affect technical efficiency and outline the path to achieving high-quality development.Design/methodology/approachWe chose 44 Chinese property insurance companies as research objects. The data were obtained from the Chinese Insurance Yearbook and China Statistical Yearbook 2015–2017. First, the data envelopment analysis (DEA) method was used to calculate the technical efficiency of property insurance companies. Then, Tobit regression and quantile regression were adopted to explore the influencing factors of technical efficiency. Finally, the fuzzy-set qualitative comparative analysis (fsQCA) method was employed to summarize the path to improving the operating efficiency of property insurance companies.FindingsThe empirical results in the first stage suggested that the operation efficiency of China's property insurance industry was technically inefficient, and the scale efficiency was relatively better than the pure technical efficiency. In the second stage, we observed that the drivers for firm size, reinsurance rate, claim ratio and equity restriction were important determinants of an insurance firm's efficiency.Research limitations/implicationsWe also put forward four applicable, targeted and proven ways to improve the technical efficiency of property insurance companies. These configurations are verified by cases of existing property insurance companies, which can provide practical references for the insurance industry.Originality/valueOur research enriches the insurance literature and efficiency methods, particularly regarding the specific paths of improving the technical efficiency. The relationship between elements and results is analyzed from a systematic perspective, and the research results are not only more consistent with what logic might imply but also more instructive for the improvement of reality.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robert Garrett ◽  
Shaunn Mattingly ◽  
Jeff Hornsby ◽  
Alireza Aghaey

PurposeThe purpose of this study is to evaluate the effect of opportunity relatedness and uncertainty on the decision of a corporate entrepreneur to pursue a venturing opportunity.Design/methodology/approachThe study uses a conjoint experimental design to reveal the structure of respondents' decision policies. Data were gathered from 47 useable replies from corporate entrepreneurs and were analyzed with hierarchical linear modeling (HLM).FindingsResults show that product relatedness, market relatedness, perceived certainty about expected outcomes and slack resources all have a positive effect on the willingness of a corporate entrepreneur to pursue a new venture idea. Moreover, slack was found to diminish the positive effect of product relatedness on the likelihood to pursue a venturing opportunity.Practical implicationsBy providing a better understanding of decision-making schemas of corporate entrepreneurs, the findings of this study help improve the practice of entrepreneurship at the organizational level. In order to make more accurate opportunity assessments, corporate entrepreneurs need to be aware of their cognitive strategies and need to factor in the salient criteria affecting such assessments.Originality/valueThis paper adds to the limited understanding of corporate-level decision-making with regard to pursuing venturing opportunities. More specifically, the paper adds new insights regarding how relatedness and uncertainty affect new venture opportunity assessments in the presence (or lack thereof) of slack resources.


2019 ◽  
Vol 15 (2) ◽  
pp. 647-659 ◽  
Author(s):  
Zahra Moeini Najafabadi ◽  
Mehdi Bijari ◽  
Mehdi Khashei

Purpose This study aims to make investment decisions in stock markets using forecasting-Markowitz based decision-making approaches. Design/methodology/approach The authors’ approach offers the use of time series prediction methods including autoregressive, autoregressive moving average and artificial neural network, rather than calculating the expected rate of return based on distribution. Findings The results show that using time series prediction methods has a significant effect on improving investment decisions and the performance of the investments. Originality/value In this study, in contrast to previous studies, the alteration in the Markowitz model started with the investment expected rate of return. For this purpose, instead of considering the distribution of returns and determining the expected returns, time series prediction methods were used to calculate the future return of each asset. Then, the results of different time series methods replaced the expected returns in the Markowitz model. Finally, the overall performance of the method, as well as the performance of each of the prediction methods used, was examined in relation to nine stock market indices.


2018 ◽  
Vol 25 (8) ◽  
pp. 3062-3080 ◽  
Author(s):  
Khar Mang Tan ◽  
Fakarudin Kamarudin ◽  
Amin Noordin Bany-Ariffin ◽  
Norhuda Abdul Rahim

Purpose The purpose of this paper is to examine the firm efficiency or technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) in the selected developed and developing Asia-Pacific countries. Design/methodology/approach The sample consists of a sum of 700 firms in selected developed and developing Asia-Pacific countries over the period from 2009 to 2015. The non-parametric data envelopment analysis under the production approach is used to investigate firm efficiency. Findings On average, this paper discovers that the firms in selected Asia-Pacific countries are moderately efficient. Scale inefficiency (SIE) is found to be the dominant source of firms’ technical inefficiency. The analysis of return to scale shows that the large firms tend to operate at decreasing return to scale level, while the small firms tend to operate at increasing return to scale level. Practical implications The findings from this paper provide significant insights to the policy makers and firm managers in promoting the efficient firms of Asia-Pacific countries. Originality/value The present paper conducts a critical analysis on return to scale in the firms sector of Asia-Pacific context, which is ignored by the past studies on firm efficiency since the analysis of return to scale is mostly emphasized on banking sector. The precise nature of SIE is important for a firm to be efficient in achieving the firm’s primary goals of profit maximization and sustaining market competitiveness.


2014 ◽  
Vol 35 (6/7) ◽  
pp. 418-432
Author(s):  
Xiaoai Ren

Purpose – The purpose of this paper is to look at the organizational structure and service provisions of cooperative public library systems in New York State. The study also seeks to ask questions of how cooperative public library systems decide what services to provide. Design/methodology/approach – Descriptive statistics, factor analysis and cluster analysis were applied on New York State public library systems’ 2008 annual reports to generate quantitative profiles of public library systems and their service transactions. Three cooperative public library systems displaying different service features were purposefully selected for further study of their service decision-making processes. The face-to-face and phone interviews were adopted in the study. Findings – Research findings from this study provide information on specific service variations across cooperative public library systems. The findings also provide differences of service decision-making processes in addition to the factors that might cause these differences. Originality/value – This study adds knowledge of public library systems’ management and organizational structures, therefore fills a knowledge gap on public library systems. It can also serve as the baseline for future studies using newer annual report data and therefore to study the changing roles and services of cooperative public library systems in New York State.


2020 ◽  
Vol 16 (6) ◽  
pp. 671-690
Author(s):  
Arunima Rana ◽  
Ravi Shankar

Research methodology The case is written using secondary data sources (namely, research documents, press information, journal articles and published interviews). Publicly declared company information has further been leveraged to augment case facts. All information sources have been duly acknowledged in the reference section. Case overview/synopsis The case is written in the backdrop of COVID-19 pandemic and its effect on the Indian retail industry, revolving around scenarios in which a multinational retailer has to decide on its long- and short-term strategy in such an economic crisis. The case story has been developed around Marks and Spencer’s retail venture in the Indian market. With the COVID-19 pandemic impacting business at various levels, with countries moving to lock down and economies shrinking to recessionary levels, one of the worst affected sectors is retail. The teaching case builds upon Mark and Spencer’s initial decision of not entering and extending its food/grocery business in India. While it remained a dominant player in Indian fashion retail for almost two decades, it needs to re-think its decision of entering food retail owing to a pandemic situation affecting its offline sales/store footfall and increasing competition from global fashion brands such as Zara and H&M that had flooded the Indian fashion retail sector. The case provides a context for students to perform environmental factor and competitor analysis for a sector, with special focus on decision making in a changing crisis scenario. Complexity academic level This case could be used in undergraduate and MBA classroom programme, across subjects such as retail management, marketing management, international business, international business environment and strategic business management. This case fits while discussing topics such as business environmental factors, competitor analysis, decision-making under crisis, market entry decision, omnichannel retail strategy, consumer behaviour and brand management.


2020 ◽  
Vol 11 (1) ◽  
pp. 187-206
Author(s):  
Philipp Hummel ◽  
Jacob Hörisch

Purpose Stakeholder theory research identifies changes in language as one possible mechanism to overcome the deficiencies of current accounting practices with regard to social aspects. This study aims to examine the effects of the terms used for specific accounts on company internal decision-making, drawing on the example of “value creation accounting”. Design/methodology/approach The study uses a survey based-experiment to analyze the effects of terms used for specific accounts on decision-making, with a focus on social aspects (in particular expenditures for staff) in cost reduction and expenditure decisions. Findings The findings indicate that wordings, which more closely relate to value creation than to costs, decrease cost reductions and increase the priority ascribed to the social aspect of reducing staff costs in times of financial shortage. The effects of terms used on cost reductions are stronger among female decision makers. Practical implications The analysis suggests that conventional accounting language best suits organizations that aim at incentivizing decision makers to primarily cut costs. By contrast, if an organization follows an approach that puts importance on social aspects in times of financial shortage and on not doing too sharp cost reductions, value creation-oriented language is the more effective approach. Social implications The study suggests that the specific terminology used for accounts should be chosen more carefully and with awareness for the possible effects on cost reduction decisions as well as on social consequences. Originality/value This study contributes to a better understanding of the relevance of language in accounting. It suggests that the terms used for accounts should be chosen purposefully because of their far-reaching potential consequences for stakeholders as well as for the organization.


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