scholarly journals Recent performance appraisal of six Nigerian seaports using multivariate and data envelopment analysis

2020 ◽  
Vol 1 (2) ◽  
pp. 001-020
Author(s):  
Kenneth Ezebunwa Ndubuisi ◽  
Chinyeaka Nwokodi Nwoloziri
Keyword(s):  
Multivariate Analysis ◽  
Data Envelopment Analysis ◽  
Performance Appraisal ◽  
Significant Relationship ◽  
Null Hypothesis ◽  
General Linear Model ◽  
P Value ◽  
Data Envelopment ◽  
Input Variables ◽  
Level Of Significance

Performance appraisal is a regular check which every organization adapts to regulate the performance of its establishment. It shows the relationships between outputs and input variables in organizations. The objective of the study is to review the performance of six Nigerian seaports between the periods of 2012-2017 by applying Data Envelopment Analysis (DEA), General Linear Model (GLM), and Multivariate Analysis (MVA) models. Data collected from Nigerian Ports Authority (NPA) statistics covers the periods (2012-2017) for each port. The empirical result shows that the following Seaports performed efficiently: Lagos Port (LP) in 2014, Tin Can Island Port (TCP) in 2014, Onne Port (OP) in 2014, and Calabar Port (CP) in 2012, 2013, 2014 and 2016. The least efficient performed seaport is Delta Port (DP) in 2012. Hence, the most efficient port over the years under study is Calabar Port (CP) while least performed port is Delta Port (DP). The results of the regression model and the multivariate analysis reject the null hypothesis and accept that at 5% level of significance there is a significant relationship between the input variables and output variables of each port, even that P-value is less than 0.005 (P<0.05).

scholarly journals Efficiency Institution Baitul Maal Tamwill in The Westdistrict Bandung

2020 ◽  
Vol 1 (1) ◽  
pp. 18-24
Author(s):  
Annisa Nur Hakim ◽  
A Jajang W Mahri ◽  
Aas Nurasyiah
Keyword(s):  
Data Envelopment Analysis ◽  
Research Method ◽  
Secondary Data ◽  
Data Envelopment ◽  
Analysis Technique ◽  
Dea Analysis ◽  
Input Variables ◽  
Operational Activities ◽  
A Company ◽  
Descriptive Method

Abstract.     Baitul Maal Wat Tamwil has experienced development in recent years. However, based on BMT performance data in West Bandung regency is less optimal. It is known that there are one efficient BMTs in West Bandung Regency and three BMTs that are inefficient. The cause of BMT's less optimal performance is inefficiency in operational activities. This study aims to determine the level of efficiency of BMT in West Bandung 2011-2017 period and find out the causes of inefficiency. This study uses secondary data from four BMTs in West Bandung District which are sampled. The research method used is descriptive method with Data Envelopment Analysis (DEA) analysis technique which is to measure the level of efficiency of a company. Input variables used are operating expenses, total assets, and TPF. Furthermore, the output variables used are SHU, income, and financing. Based on the results of research conducted, the conditions of the BMT in West Bandung Regency have not been perfectly efficient. There are three BMTs that have experienced inefficiencies including BMT Dana Ukhuwah, BMT Mustama, and BMT Rabbani. Keywords.          Efficiency, Baitul Maal Wat Tamwil, Data Envelopment Analysis

scholarly journals Can the Implementation of Sharia Banks’ Roadmap Increase Their Performance? (Evidence from Indonesia 2012-2017)

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Riko Hendrawan
Keyword(s):  
Data Envelopment Analysis ◽  
T Test ◽  
P Value ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Average Efficiency ◽  
Road Map ◽  
Significant Difference ◽  
Dea Efficiency ◽  
Increase Efficiency

Abstract. The purpose of this research is to compare the efficiency of 11 Sharia Banks in Indonesia and its impact on their performance. This study relies on the quarterly data from 2012-2017 and applied Data Envelopment Analysis to measure their performance. The result of the T-test shows that the P-value for two tail = 0.706. So based on this trend the P-value is greater than α = 0.05 (P-value> α). In the condition of P-value> α, H1 is rejected, meaning that there is no change in the value of efficiency between the period 2012-2014 and the period 2015-2017. This research shows that the efficiency of Islamic banking has not occurred during the implementation of the 2012-2017 Indonesian Sharia Banking Roadmap. Furthermore, the highest efficiency value during the period before implementation was 0.92 with an average efficiency value of 0.57. This means that during this period there was room to increase efficiency by 0.35. Meanwhile the period after implementing the highest efficiency value was 0.87 with an average efficiency value of 0.59. This means that during this period there was room to increase efficiency by 0.28. This means that during the 2012-2017 period, there was no significant difference in efficiency levels during the 2012-2014 period (before the implementation) and the 2015-2017 period (after the implementation of the Islamic banking road map). Keywords: DEA, Efficiency, Sharia Bank Abstrak. Tujuan dari penelitian ini adalah untuk membandingkan efisiensi dari 11 Bank Syariah di Indonesia dan dampaknya terhadap kinerja bank tersebut. Penelitian ini menggunakan data setiap kuartal selama tahun 2012 hingga tahun 2017 dan menggunakan Data Envelopment Analysis untuk mengukur kinerja. Hasil penelitian ini menunjukan bahwa selama implementasi Roadmap, perbankan syariah belum menunjukan kenaikan efisiensi. Sementara itu, sebelum implementasi tersebut, nilai efisiensi tertinggi perbankan syariah sebesar 0,92, sedangkan rata-rata nilai efisiensinya sebesar 0,57. Ini berarti bahwa ada ruang untuk meningkatkan level efisiensi sebesar 0,35. Sedangkan pada periode implementasi, nilai efisiensi tertingi perbankan syariah sebesar 0,87, dan ratarata nilai efisiensinya sebesar 0,59. Ini berarti ada ruang untuk meningkatkan level efisiensi sebesar 0,28. Hasil penelitian juga menunjukan bahwa, secara keseluruhan periode tahun 2012 hingga tahun 2017, hasil t-test menunjukan nilai P-value for two tail = 0.706. Ini berarti P-value> α, dan menolak H1, sehingga tidak terdapat perbedaan level efisiensi selama periode 2012-2014 (sebelum implementasi) dan periode 2015 – 2017 (setelah implementasi) Kata kunci: DEA, Efisiensi, Bank Syariah

Measuring productivity of dairy industry companies: an approach with data envelopment analysis

2021 ◽  
Vol 11 (2) ◽  
pp. 160-177
Author(s):  
Bertha Viviana Ruales Guzmán ◽  
Gloria Isabel Rodríguez Lozano ◽  
Oscar Fernando Castellanos Domínguez
Keyword(s):  
Data Envelopment Analysis ◽  
Case Studies ◽  
Dairy Industry ◽  
Data Envelopment ◽  
Food Sector ◽  
Content Type ◽  
Financial Variables ◽  
Current State ◽  
Input Variables ◽  
Future Case

PurposeThis research had two main objectives: To measure the productivity of companies in the Colombian dairy industry and to identify efficient decision-making units (DMUs) that can be used as work sample in future case studies.Design/methodology/approachIn the measurement of productivity, financial variables were considered for a sample of 19 DMUs. Efficient companies were identified through the data envelopment analysis (DEAs) methodology with the VRS model oriented to inputs and outputs. The input variables analyzed were “current asset,” “property, plant and equipment,” “non-current liability” and “equity,” while the output variables were “revenue” and “profit.”FindingsFindings revealed that seven DMUs are efficient in the input and output orientation and that companies of different sizes and with or without quality certifications are efficient in the sample analyzed. Additionally, the benchmark efficient DMUs were identified for each of the non-efficient DMUs.Research limitations/implicationsThe implications for the research include the contribution to the theory, on the one hand, with the analysis of the current state of the literature on the use of DEA in the food sector, and on the other, with the use of DEA to measure the productivity of Colombian dairy industry companies and with the identification of a sample of efficient units that can be analyzed in future case studies.Originality/valueThis article is novel and pioneering because it measures for the first time the productivity of DMUs of the Colombian dairy industry, in addition to including the current state of the literature on the application of the DEA methodology in the food sector. These findings contribute to the consolidation of the theory and also provide inputs for researchers, practitioners, managers, and policy makers.

Effects of Data Envelopment Analysis on Performance Assessment

2018 ◽  
pp. 557-581
Author(s):  
Heinz Ahn ◽  
Nadia Vazquez Novoa
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Assessment ◽  
Performance Appraisal ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Financial Assessment ◽  
Dea Efficiency ◽  
Controlling Processes

This paper examines the Data Envelopment Analysis (DEA) methodology from a cognitive perspective. Specifically, it analyzes (a) the role of DEA scores as an overall efficiency measure and (b) to what extent the presence of DEA scores for a non-financial performance appraisal influences a posterior financial performance assessment. The study confirms that the efficiency score acts as a strong performance marker when deciding on which decision making units (DMUs) should be awarded for their non-financial performance. Furthermore, it shows that the results of the non-financial performance evaluation may act as an anchor which significantly influences a posterior financial assessment. These insights have practical consequences for planning, reporting, and controlling processes that incorporate DEA efficiency scores.

scholarly journals Evaluation of Car Performances Using Data Envelopment Analysis

2018 ◽  
Vol 22 ◽  
pp. 01051
Author(s):  
Yunus GÜRAL ◽  
Ayşe Turan BUĞATEKİN
Keyword(s):  
Data Envelopment Analysis ◽  
Maximum Speed ◽  
Data Envelopment ◽  
Automotive Sector ◽  
Nonparametric Method ◽  
Maximum Torque ◽  
Acceleration Time ◽  
Input Variables ◽  
Using Data ◽  
Decision Making Units

Data Envelopment Analysis (DEA) is a nonparametric method used to examine the relative efficiencies of Decision Making Units (DMUs) on conditions where there are multiple inputs and multiple outputs. As in all sectors, it is very important for the automotive sector to operate effectively. Therefore, it is also important to measure the efficiency and find the source of the inefficiency. In this study, the performances of the DMU of the automobiles will examine using Data Envelopment Analysis. In this direction, it is aimed to assist consumers in purchasing by calculating the relative efficiencies of automobile models, determining effective and ineffective DMUs according to the wishes of the consumers. Sales price and fuel consumption are determined as input variables; maximum speed, cylinder volume, horsepower, maximum torque, luggage volume, acceleration time from 0 to 100 km are determined as output variables.

scholarly journals Supporting Better Decision-Making: A Combined Grey Model and Data Envelopment Analysis for Efficiency Evaluation in E-Commerce Marketplaces

2020 ◽  
Vol 12 (24) ◽  
pp. 10385
Author(s):  
Chia-Nan Wang ◽  
Thanh-Tuan Dang ◽  
Ngoc-Ai-Thy Nguyen ◽  
Thi-Thu-Hong Le
Keyword(s):  
Data Envelopment Analysis ◽  
Business Performance ◽  
Technology Development ◽  
Technological Development ◽  
Hybrid Approach ◽  
Efficiency Score ◽  
Grey Model ◽  
Modern World ◽  
Data Envelopment ◽  
Input Variables

E-commerce has become an integral part of businesses for decades in the modern world, and this has been exceptionally speeded up during the coronavirus era. To help businesses understand their current and future performance, which can help them survive and thrive in the world of e-commerce, this paper proposes a hybrid approach that conducts performance prediction and evaluation of the e-commerce industry by combining the Grey model, i.e., GM (1, 1) and data envelopment analysis, i.e., the Malmquist-I-C model. For each e-commerce company, GM (1, 1) is applied to predict future values for the period 2020–2022 and Malmquist-I-C is applied to calculate the efficiency score based on output variables such as revenue and gross profit and input variables such as assets, liabilities, and equity. The top 10 e-commerce companies in the US market are used to demonstrate model effectiveness. For the entire research period of 2016–2022, the most productive e-commerce marketplace on average was eBay, followed by Best Buy and Lowe’s; meanwhile, Groupon was the worst-performing e-commerce business during the studied period. Moreover, as most e-commerce companies have progressed in technological development, the results show that the determinants for productivity growth are the technical efficiency change indexes. That means, although focusing on technology development is the key to e-commerce success, companies should make better efforts to maximize their resources such as labor, material and equipment supplies, and capital. This paper offers decision-makers significant material for evaluating and improving their business performance.

scholarly journals Correlation of Laboratory Experts’ Performances in Primary Health Care (Puskesmas) and Patience Perception

2019 ◽  
Vol 2 (2) ◽  
pp. 135
Author(s):  
Hilda Meriyandah Agil ◽  
Rina Veronica ◽  
Tjipto Rini
Keyword(s):  
Health Care ◽  
Multivariate Analysis ◽  
Performance Appraisal ◽  
Significant Relationship ◽  
Public Perceptions ◽  
Accurate Information ◽  
Community Perceptions ◽  
Primary Health ◽  
Laboratory Services ◽  
The Relationship

Background: Health laboratory services are an integral part of health services to the community and expected to provide accurate information in each stage: pre-analytic, analytic and post-analytic.Aims: This study aimed to determine the relationship between laboratory experts’ performances in Puskesmas against community perceptions conducted in 24 Puskesmas in Surabaya with a sample of 30 laboratory experts and 30 communities.Methods: This is a multivariate analysis research and data was obtained from the questionnaires given to the respondents and then performed data analysis using Pearson correlation.Results: The results indicated there was a significant relationship between the performance of laboratory experts with the perception of the community (ρ = 0.001). There is a relationship between the pre-analytic stage performance (ρ = 0.002), the analytic stage (ρ = 0.004) and post-analytic (ρ = 0.007).Conclusion: Based on the performance appraisal of laboratory personnel in the Puskesmas including significant pre-analytic, analytic and post-analytic activities on public perceptions there was a significant relationship, and the most significant relationship was found at the pre-analytic stage.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI IMPOR BERAS DI INDONESIA PERIODE 2000:01 – 2009:04

Media Ekonomi ◽  
2017 ◽  
Vol 18 (2) ◽  
pp. 69
Author(s):  
Malyda Husna Salsyabilla
Keyword(s):  
Data Envelopment Analysis ◽  
Capital Market ◽  
Secondary Data ◽  
Data Envelopment ◽  
Analysis Method ◽  
Output Variable ◽  
Performance Levels ◽  
Public Firms ◽  
Debt Capital ◽  
Input Variables

<p>This study aims to determine the efficiency levels of cigarettes industry in Indonesia. The analysis tools used in this study is the DEA (Data Envelopment Analysis) method of analysis. Expecially for the “Go Public” firms those are PT BAT Indonesia, PT Bentoel, PT Gudang Garam, PT HM Sampoerna. The research, used secondary data, from the Indonesian Capital Market Directory year 2006 - 2008. Variables used in the study consist of four input variables and two output variables. Its input variables consist of labor, Debt, Capital, and Total Asset, whiles its output variable consist of Net Sales and Gross Profit. The research results show that there only two companies that consistent to maintained the level of efficiency of 100% during the study, namely PT BAT Indonesia and PT HM Sampoerna. Meanwhile, two other companies show their performance levels efficiency have not stabillized during the study, namely PT Bentoel and PT Gudang Garam.</p>

scholarly journals ANALISIS EFISIENSI INDUSTRI ROKOK DI INDONESIA DENGAN MENGGUNAKAN METODE DEA (DATA ENVELOPMENT ANALYSIS) TAHUN 2006 - 2008

Media Ekonomi ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 73 ◽  
Author(s):  
Ida Ayu Puspitasari
Keyword(s):  
Data Envelopment Analysis ◽  
Capital Market ◽  
Secondary Data ◽  
Total Asset ◽  
Data Envelopment ◽  
Analysis Method ◽  
Output Variable ◽  
Public Firms ◽  
Debt Capital ◽  
Input Variables

<p>This study aims to determine the efficiency levels of cigarettes industry inIndonesia. The analysis tools used in this study is the DEA (Data Envelopment Analysis)method of analysis. Expecially for the “Go Public” firms those are PT BAT Indonesia, PT Bentoel, PT Gudang Garam, PT HM Sampoerna. The research, used secondary data, from the Indonesian Capital Market Directory year 2006 - 2008. Variables used in the study consist of four input variables and two output variables. Its input variables consist of labor, Debt, Capital, and Total Asset, whiles its output variable consist of Net Sales and Gross Profit. The research results show that there only two companies that consistent to maintained the level of efficiency of 100% during the study, namely PT BAT Indonesia and PT HM Sampoerna. Meanwhile, two other companies show their performance levels efficiency have not stabillized during the study, namely PT Bentoel and PT Gudang Garam.<br />Keywords : Efficiency, DEA, Cigarette Company, Labor, Debt, Capital, Total Asset, Net Sales, Gross Profit.</p>

scholarly journals Determinants of Efficiency of Zakat Institutions in Indonesia: Two-Stage Data Envelopment Analysis Approach

2019 ◽  
Author(s):  
Rizki Kurniawan
Keyword(s):  
Data Envelopment Analysis ◽  
Quantitative Research ◽  
Positive Trend ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Two Stage ◽  
Analysis Technique ◽  
Negative Effect ◽  
Input Variables ◽  
Research Period

This study aims to analyze the level of efficiency and determine the factors that affect the efficiency of the National Zakat Management Organization (OPZ). This research is descriptive quantitative research. Samples in this study are six National Zakat Management Organizations with research period from 2012-2016. The analysis technique used is two-stage data envelopment analysis. First stage, using DEA to measure OPZ efficiency level with production approach and assumption of output-oriented CRS and VRS. The input variables used are amil salary, operational costs, and socialization costs, the output variables used are collected funds and funds disbursed. Second stage, using tobit regression model to see the factors that affect OPZ efficiency. Based on the results of DEA, during the period of 2012-2016 OPZ efficiency experienced a positive trend. In general there had been an increase in OPZ performance efficiency from 2012 to 2016. BNUIS BNI became the most efficient OPZ compared to other OPZ. Based on the results of Tobit regression, the total of human resources has a significant negative effect on the level of efficiency, transparency and OPZ type significantly positive, while the zakat payment system and ACR ratio do not affect the efficiency level of OPZ.

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