Search results

1 – 10 of over 50000
Article
Publication date: 15 February 2022

Ramya Rajajagadeesan Aroul, Sanjiv Sabherwal and Sriram V. Villupuram

The purpose of the paper is to examine the relationship between the Environmental, Social and Governance (ESG) performance of Real Estate Investment Trusts (REITs) and…

Abstract

Purpose

The purpose of the paper is to examine the relationship between the Environmental, Social and Governance (ESG) performance of Real Estate Investment Trusts (REITs) and their operational efficiency and performance.

Design/methodology/approach

The authors use S&P Global (formerly SNL Real Estate) for the study analyses and examine all publicly traded REITs based in the United States over the 2019–2020 sample period. The authors regress the measures of REIT operational efficiency and operational performance on REIT ESG scores while controlling for REIT characteristics and use an ordinary least squares (OLS) estimation model with heteroscedasticity-robust standard errors. The authors also run additional regressions to examine the implications of operational efficiency on the relationship between ESG and operational performance.

Findings

The authors find that REITs that perform well on the ESG scale have higher operational efficiency. In addition, the authors find that REITs with better ESG scores are associated with better operational performance. Finally, the authors find that the positive association between ESG scores and operational performance is stronger in REITs with higher operational efficiency.

Practical implications

First, the adoption of ESG adds value to the REIT in terms of increased operational performance and efficiency. Second, the value addition of ESG to an REIT is driven by the better operational efficiency of some REITs over the others. Therefore, the authors’ findings suggest that REITs that currently score poorly on ESG performance would first need to focus on all the possible avenues to improve economies of scale and hence operational efficiency. This approach would help ensure that when those REITs adopt ESG initiatives, they get the most bang for their buck.

Originality/value

To the best of the authors’ knowledge, this is the first study that relates operational efficiency and operational performance of REITs to their ESG scores.

Details

Managerial Finance, vol. 48 no. 8
Type: Research Article
ISSN: 0307-4358

Keywords

Article
Publication date: 23 July 2020

Hyejeong Shin and Sorah Park

This study aims to examine the relationship between the internal control manager attributes and the firms’ operational efficiency. The internal control manager designs and…

Abstract

Purpose

This study aims to examine the relationship between the internal control manager attributes and the firms’ operational efficiency. The internal control manager designs and maintains the firms’ policies and procedures to certify the effectiveness of its internal control system.

Design/methodology/approach

The study is an empirical research based on a sample of public companies listed on the Korean Stock Exchange from year 2011 to 2015. The authors derive measures of operational efficiency using the data envelopment analysis tool.

Findings

This study shows that the operational efficiency increases with internal control managers’ task-related knowledge and diverse firm knowledge, consistent with human capital theory. Also, the results reveal that internal control managers, equity ownership has a curvilinear relationship with the operational efficiency, indicating that excessive managerial ownership can deteriorate the firm value.

Originality/value

While many studies have examined the association between the internal control system and financial reporting quality, this paper is differentiated from prior studies by focussing on the internal control managers’ personal attributes. This is important, as the internal control system is essentially built by internal control managers who are in charge. This study contributes to accounting literature by shedding light on the role of internal control managers in enhancing the firms’ operational efficiency.

Details

Managerial Auditing Journal, vol. 35 no. 7
Type: Research Article
ISSN: 0268-6902

Keywords

Article
Publication date: 30 June 2020

Valeria Maltseva, Joonho Na, Gyuseung Kim and Hun-Koo Ha

We adopt a super slack-based measurement (SBM) data envelopment analysis (DEA) model to estimate the efficiency of five biggest freight rail operators in Russia, which are…

Abstract

We adopt a super slack-based measurement (SBM) data envelopment analysis (DEA) model to estimate the efficiency of five biggest freight rail operators in Russia, which are included in the top 30 freight rail operators in terms of two dimensions – financial and operational efficiency during 2013–2017. The result shows that the private companies characterized by high financial and operational efficiency, while the Rossiiskye Zheleznye Dorogi (RZD) subsidiaries characterized by sufficiently low financial and operational efficiency scores. And the result also presents that operational efficiency score of operators handling universal rolling stock is higher than financial efficiency scores. In contrast, financial efficiency scores of operators handling special rolling stock is higher than operational efficiency scores. rail freight operators in addition to a special rolling stock park should have a universal rolling stock park for higher profitability. State-owned companies and its subsidiary operate inefficiently in the midst of a market economy in Russia. Rail freight operators for a higher level of financial efficiency should be transferred to the private sector.

Details

Journal of International Logistics and Trade, vol. 18 no. 2
Type: Research Article
ISSN: 1738-2122

Keywords

Article
Publication date: 18 September 2020

Asif Khan and Saba Shireen

The study attempts to examine the bias-adjusted financial and operational efficiency estimates of microfinance institutions (MFIs) operating in the Eastern Europe and…

Abstract

Purpose

The study attempts to examine the bias-adjusted financial and operational efficiency estimates of microfinance institutions (MFIs) operating in the Eastern Europe and Central Asia (ECA) region during the financial year 2017–2018. In addition, the study also identifies the responsible factors determining the financial and operational performances of MFIs operating in the ECA region.

Design/methodology/approach

The study employs two-stage bootstrap data envelopment analysis (DEA). In the first stage, the authors incorporate the bootstrap procedure in the DEA framework as suggested by Simar and Wilson (2000) to estimate the bias-corrected efficiency scores of 67 sample MFIs. In order to identify the drivers of efficiency level, the study deploys the bootstrap truncated regression model following the Simar and Wilson (2007) guidelines in the second stage of analysis.

Findings

The authors note from the empirical results that MFIs operating in the ECA region are relatively more financially efficient (0.588) than socially efficient (0.496). However, none of the MFIs were found to be operating at best-practice frontier while considering the bias-adjusted efficiency estimates. Further, the results of second stage of analysis confirm that corporate governance, that is, board size has positive and statistically significant impact on MFIs’ performances. In addition, the bad credit quality deteriorates both financial revenue and operational efficiency. Moreover, the MFIs’ size, profit status and debt-to-equity ratio were also found to be statistically significant to determine the operational and financial efficiency of MFIs in the ECA region.

Practical implications

The study provides the robust efficiency estimates and factors responsible to determine the financial and operational efficiency of MFIs operating in the ECA region. Further, the empirical results of the study provide the inputs and further direction to the policymakers, regulators, practitioners and managers in framing the policy and optimal operating strategies for ECA MFIs industry.

Originality/value

The study extends the DEA analysis by incorporating the bootstrap procedure in DEA model to estimate the bias-adjusted efficiency scores which are more reliable and robust. In addition, bootstrap truncated regression has been applied to identify the drivers of efficiency. Moreover, in the literature there is no single study which has deployed the double bootstrap DEA framework to examine the financial and operational efficiency estimates and its drivers.

Details

Benchmarking: An International Journal, vol. 27 no. 9
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 7 January 2021

Mohsenah Al Yami, Mian M. Ajmal and Sreejith Balasubramanian

Firm size is an important contingency variable in macro-organizational studies. Several questions arise in relation to knowledge management and organizational size that is…

Abstract

Purpose

Firm size is an important contingency variable in macro-organizational studies. Several questions arise in relation to knowledge management and organizational size that is critical to both public and private organizations. Unfortunately, despite its significance, all or most of the studies that examined the effects of organizational size’ on knowledge management have been in the private sector. This paper aims to empirically study the effects of organizational size on the key knowledge management processes and subsequent operational efficiency derived from its implementation in the public sector.

Design/methodology/approach

A structured country-wide survey of United Arab Emirates public sector organizations was conducted. The 383 completed responses obtained were then analysed to assess the hypothesized differences in the implementation of knowledge management processes (knowledge acquisition, knowledge creation, knowledge capture, knowledge storage and retrieval, knowledge sharing, knowledge utilization) and its impact on the operational efficiency across small and medium, large and very large public sector organizations.

Findings

The results revealed that the extent of implementation of all six knowledge management processes and operational efficiency followed an inverted “V” pattern, in which, both knowledge management processes and operational efficiency was found to increase while transitioning from small and medium entities to large entities, but was found to decrease while transitioning from large to very large entities. In terms of relationships, while all knowledge management processes had a significant positive impact on the operational efficiency of the public sector, the ability to derive operational efficiency from knowledge management processes was found to be the highest for very large public sector organizations.

Practical implications

The novel findings are useful for practitioners and policymakers, especially those overseeing a country’s knowledge management initiatives to devise strategies, policies and support mechanisms to ensure public sector organizations, regardless of their size, can implement efficient and effective knowledge management processes to improve their operational efficiency.

Originality/value

The study is arguably the first comprehensive attempt to understand the impact of organizational size on knowledge management in the public sector.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 52 no. 5
Type: Research Article
ISSN: 2059-5891

Keywords

Article
Publication date: 3 August 2018

Yongyi Shou, Wenjin Hu, Mingu Kang, Ying Li and Young Won Park

The purpose of this paper is to scrutinize the performance effects of supply chain risk management (SCRM). Besides financial performance, two aspects of operational

1715

Abstract

Purpose

The purpose of this paper is to scrutinize the performance effects of supply chain risk management (SCRM). Besides financial performance, two aspects of operational performance are examined: operational efficiency and flexibility. Moreover, the authors explore the moderating role of supplier integration in the relationship between SCRM and operational performance.

Design/methodology/approach

A survey-based methodology was adopted. Based on the data from an international survey, this study applied the structural equation modeling and latent moderated structural equations approach to test the hypotheses.

Findings

The results indicate that SCRM positively influences both operational efficiency and flexibility, and has an indirect effect on financial performance. In addition, supplier integration enhances the impact of SCRM on operational flexibility, but does not moderate the relationship between SCRM and operational efficiency.

Originality/value

This study extends the existing literature by providing a comprehensive analysis of the performance effects of SCRM. It also provides managerial insights on both risk management and supplier integration.

Article
Publication date: 20 July 2020

Ahmed Mohamed Habib and Tamer Mohamed Shahwan

The efficient use of organizational resources is integral to the existence of prime firms. This study, using Malmquist data envelopment analysis (DEA), aims to assess in…

Abstract

Purpose

The efficient use of organizational resources is integral to the existence of prime firms. This study, using Malmquist data envelopment analysis (DEA), aims to assess in the level of operational and financial efficiency and its determinants for ensuring and sustaining excellent performance in 33 Egyptian private hospitals.

Design/methodology/approach

This study adopted a Malmquist DEA approach to assess the changes in operational and financial efficiency in Egyptian hospitals. Tobit regression was also used to identify the significant variables affecting their efficiency. In addition, a sensitivity analysis is carried out for model validations.

Findings

Out of 33 hospitals, 17 were found inefficient due to the decline in their technical efficiency. Moreover, the total value of the software programs and operational expenses and the total number of employees are common factors affecting both operational and financial efficiency. In addition, the number of physicians significantly affects the hospital's financial efficiency.

Practical implications

The study sheds light on the value of using DEA to assess efficiency. DEA in the context of emerging economy such as Egypt's can be a useful tool for decision-makers and practitioners in identifying and addressing performance weaknesses and thus supports continuous improvement in performance.

Originality/value

Several studies have adopted the DEA approach to assess the overall efficiency of hospitals in Europe and the United States. However, in the MENA region, these studies are uncommon. This study is thought to be one of the earliest attempts to assess hospitals' efficiency in Egypt.

Details

Benchmarking: An International Journal, vol. 27 no. 9
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 2 February 2021

Mahmoud Abdelrahman Kamel and Mohamed El-Sayed Mousa

This study used Data Envelopment Analysis (DEA) to measure and evaluate the operational efficiency of 26 isolation hospitals in Egypt during the COVID-19 pandemic, as well…

Abstract

Purpose

This study used Data Envelopment Analysis (DEA) to measure and evaluate the operational efficiency of 26 isolation hospitals in Egypt during the COVID-19 pandemic, as well as identifying the most important inputs affecting their efficiency.

Design/methodology/approach

To measure the operational efficiency of isolation hospitals, this paper combined three interrelated methodologies including DEA, sensitivity analysis and Tobit regression, as well as three inputs (number of physicians, number of nurses and number of beds) and three outputs (number of infections, number of recoveries and number of deaths). Available data were analyzed through R v.4.0.1 software to achieve the study purpose.

Findings

Based on DEA analysis, out of 26 isolation hospitals, only 4 were found efficient according to CCR model and 12 out of 26 hospitals achieved efficiency under the BCC model, Tobit regression results confirmed that the number of nurses and the number of beds are common factors impacted the operational efficiency of isolation hospitals, while the number of physicians had no significant effect on efficiency.

Research limitations/implications

The limits of this study related to measuring the operational efficiency of isolation hospitals in Egypt considering the available data for the period from February to August 2020. DEA analysis can also be an important benchmarking tool for measuring the operational efficiency of isolation hospitals, for identifying their ability to utilize and allocate their resources in an optimal manner (Demand vs Capacity Dilemma), which in turn, encountering this pandemic and protect citizens' health.

Originality/value

Despite the intensity of studies that dealt with measuring hospital efficiency, this study to the best of our knowledge is one of the first attempts to measure the efficiency of hospitals in Egypt in times of health' crisis, especially, during the COVID-19 pandemic, to identify the best allocation of resources to achieve the highest level of efficiency during this pandemic.

Details

Benchmarking: An International Journal, vol. 28 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 16 November 2010

Lopin Kuo, Shihping Kevin Huang and Yen‐Chun Jim Wu

The purpose of this study is to explore whether a connection exists between business operational efficiency and environmental responsibility.

1536

Abstract

Purpose

The purpose of this study is to explore whether a connection exists between business operational efficiency and environmental responsibility.

Design/methodology/approach

This research adopts the DEA method through a four‐step analysis to examine inter‐industry differences in terms of operational efficiency with environmental consideration. The sample comprises 32 Japanese firms from three different industries listed in the Tokyo Stock Exchange between 2001 and 2006.

Findings

The results indicate a positive correlation with statistical significance in terms of a firm's environmental conservation cost, net income and economic benefit of environmental conservation for the three Japanese industries. In addition, the relationship among a firm's environmental conservation cost, CO2 emission reduction and total CO2 emission are positively correlated but without significance. In particular, business operational efficiency integrating social responsibility for anti‐global warming initiatives ( = total CO2 emission level) could be applied to distinguish differences in terms of operational efficiency among industries.

Research limitations/implications

Japanese firms adopt a voluntary environmental disclosure; therefore this study is constrained by the availability of long‐term data.

Social implications

This study enables environmentally conscious investors and fund managers to distinguish the operationally efficient industries when taking environmental performance into account.

Originality/value

The study is a novel attempt to analyze inter‐industry differences in terms of operational efficiency when considering environmental conservation through the DEA method using a four‐step analysis.

Details

Management Decision, vol. 48 no. 10
Type: Research Article
ISSN: 0025-1747

Keywords

Book part
Publication date: 31 May 2016

Carlos Pestana Barros and Peter Wanke

This chapter analyses the efficiency of African airlines using a two-stage network DEA (Data Envelopment Analysis) model. Network DEA models usually take into account the…

Abstract

This chapter analyses the efficiency of African airlines using a two-stage network DEA (Data Envelopment Analysis) model. Network DEA models usually take into account the production process with intermediate inputs derived from the first stage and a second stage that departs from it. This fundamental feature enables one to view the airline production process as a carry-over activity. The analysis covers the 2010–2013 period. The relative efficiency ranks are presented and policy implications are derived.

Details

Airline Efficiency
Type: Book
ISBN: 978-1-78560-940-4

Keywords

1 – 10 of over 50000