Operational Performance Efficiency Research Articles

The Moderating Impact of Major Shareholding of Equity on Operational Performance Efficiency and Firm Value Relationship: The Evidence of the Manufacturing Listed Firms at ASE

The study objects for determining whether a firm value is affected by the operational efficiency of performance, and to determine whether major shareholding moderates the effect relationship of operational efficiency on firm value. Secondary data covering the period starting from 2011 and ending with 2020, attributed to 28 out of 32 listed manufacturing firms at the Amman Stock Exchange, had been collected and used in the analysis. Five indicators of operational efficiency, as an independent, are taken into consideration in the study, including inventory turnover, receivables turnover, total assets turnover, cash flows from operations, and working capital, whereas Tobin’s Q, is used as an indicator for firm value, as the dependent variable. Major shareholding is represented by those shareholders that are having 5 percent or more of the entire number of shares outstanding and is used as a moderator, while firm size, which is measured using the natural logarithms of total assets, is used as a control variable. Using the multiple and the hierarchal regression methods in data analysis and hypotheses testing, the study shows that operational efficiency of performance has a significant impact on firm value, and it plays a clear role and major shareholding plays a significant moderating role on the effective relationship of operational efficiency on firm value. More investigation of the effects of operational efficiency of additional aspects of performance, on firm value, is strongly recommended.

Usage of Machine Learning Algorithm Models to Predict Operational Efficiency Performance of Selected Banking Sectors of India

—It was an attempt to predict the impact of NPAs in the selected public (SBI, BoI, BoB, BoM, CBoI, AB, CB, AlB,) and private (AxB, ICB, HDFCB and KB) banking sectors from 2008 to 2019. The data was also used to predict operational performance efficiency of these banking sectors after extracting through machine learning (ML) algorithm models and statistical interpretation of prediction accuracy by using WEKA tool. We used different models viz. NaiveBayes (NB), BayesNet (BN), logistic regression (LgR), Sequential minimal optimization of Support Vector Machine regression (SMOreg), Linear Logistic Regression (SL), Classification via Regression (CR), LogitBoost (LB); Logistic Model Tree (LMT), Random Forest & Random tree (RF & RT), Pruned & unpruned decision tree C4 (J48), and Class implementing minimal cost-complexity pruning (Cart) related to 15 attributes viz. GNPA, NNPA, GDP, CPI, PSL, TL, STA, GDP-1, RR, CPI-1, TE, TP and USTA as numeric as well as Banks, Year, GNPA>6, and GNPA>7, as nominal categories of dataset where overall performance accuracy was determined. The algorithm model classification predicted the highest values were for LB (78.47%) and Cart (74.30%) followed by J48 (73.61%), CR (72.91%) and LMT (69.44%) and lowest value in SMO (34.72%) as per 10-fold cross validation test. Additionally, these predicted results may have valuable implications for Indian banking sectors. We evaluated the operational efficiency as cumulative performance for 12 banking sectors as per assumed cut off values of GNPA. It may be varied with other independent variables like credit risk parameters, etc. It is suggested in future to study with parameters of deposit collection and investment to determine credit risk of these banking sectors. Keywords—Indian banking sectors, Machine learning models, Non-performing assets, Operational efficiency, WEKA tool

ANALYSIS OF BANK OPERATIONAL PERFORMANCE EFFICIENCY USING OPERATIONAL COST RATIO ON OPERATIONAL INCOME AT PT. BPR CENTRAL SEJAHTERA TANJUNGPINANG

The purpose of this study was to determine the efficiency of operational performance at PT. BPR Central Sejahtera Tanjungpinang by using the BOPO ratio. BOPO is the ratio used to measure the efficiency of the Bank's Operations.The results of this research can be seen that the BOPO ratio at PT.BPR Central Sejahtera tends to increase from 2015 to 2019 in a row 85.16% in 2015, which means that every Rp1 income earned by the bank is Rp. expenses that must be borne by the bank, in 2016 amounted to 81.75%, in 2017 amounted to 83.96%, in 2018 amounted to 84.28% and in 2019 amounted to 85.75% . Based on research results, the operational performance efficiency of PT BPR Central Sejahtera for the period 2015-2019 tends to decline during the 2015-2019 period. Although experiencing an increase in the OEOI ratio, it is still in the Healthy category because the maximum limit of BOPO percentage is above 89%. The increase in BOPO was due to a decrease in Contractual Interest Income.

Upgrading superior operation performance efficiency of submarine transceiver optical communication systems toward multi tera bit per second

This paper shows the enhancement of performance operation efficiency of submarine optical communication systems toward multi Tb/s. The performance and cost optimization within transceiver submarine communication system requires careful balancing of single mode fiber attributes. Commercial single mode optical fibers are employed for this task, which that are namely Vascade® L1000 fiber, Vascade® LS+ fiber, Vascade® LEAF® fiber, Vascade® S1000 fiber, Vascade® EX 1000 fiber, and Vascade® EX 3000 fiber. High transmission capacity and long distance repeated submarine systems are achieved with attenuation and dispersion managed solutions as well as the effects of water depth, water pressure, and water temperature are taken into account in this study. The importance of minimizing dispersion slope within choosing suitable hybrid commercial submarine optical fibers to ensure good channel performance and wide system bandwidth. Vascade® R1000 fiber (mixed Vascade® L1000 fiber plus Vascade® S1000 fiber) that is namely dispersion managed fiber (DMF) offers a solution for high submarine system capacity. The figure of merit, cost planning budget, average repeater spacing, and possible transmission bit rate are the key solution for the trade off different commercial submarine optical fibers.

KINERJA KEUANGAN TERHADAP KEMAMPUAN BERKELANJUTAN PERUSAHAAN

This study aims to investigate the financial performance and sustainable company ability and investigate the effect of financial performance as measured by by profitability (ROA), capital adequacy (CAR), operational performance efficiency (BOPO), liquidity (FDR), and non performing financing (NPF), on the sustainable company ability as measured by the FSR at Sharia Commercial Bank in Indonesia for the period 2012-2016.The sample used in this research is 11 Sharia Commercial Banks. The sample selection technique used is purposive sampling. Methods of data analysis using panel data regression analysis with 5% significance. The result of t test shows that capital adequacy has significant positive effect, meanwhile profitability operational performance efficiency, liquidity, and non performing financing has significant negative effect. The result of F test shows that simultaneously the financial performance has significant effect on corporate sustainable capability with adjusted R2 of 0.581292.

Improving the operational performance efficiency index of an airport by managing and reducing controllable delays: A case study of Delhi International Airport Limited, India

This paper presents an approach to the internal benchmarking of the performance of an airport in terms of total aircraft movement, and addresses airport capacity constraints in light of growing traffic and resulting congestion, causing delays that adversely affect the operational performance in terms of total aircraft movement through an airport. Considering the capital-intensive nature of the expansion of capacity and the usual time and cost overruns, the problems and difficulties in land acquisition and the time-consuming requirements of obtaining social and environmental clearances, the paper’s solution provides an option to improve the operational performance of an airport within its existing capacity by managing and reducing controllable delays. A model is presented to develop the performance efficiency index (PI), in terms of aircraft movement through the existing capacity of an airport every 24-hours, which is treated as one decision-making unit (DMU). This paper is a case study of Indira Gandhi International (IGI), now known as the Delhi International Airport (DIAL), in New Delhi, India. The model uses the stylised categories of delays — as per the International Air Transport Association (IATA) codes — as inputs, and the total aircraft movement as the throughput, and presents the efficiency frontier. The model is based on simple data envelopment analysis and linear programming techniques combined with second-stage regression analysis in order to estimate the effect of managing of types of delays on the PI. The model explains 76 per cent of variations in the throughput. The paper finds that the reactionary delays and the average delay at the gate affect the turnaround time of an aircraft and consequently the throughput of the DIAL.

A comparative study of the performance of graded index perfluorinated plastic and alumino silicate optical fibers in internal optical interconnections

This paper theoretically investigates a comparative analysis of the performance of both graded index perfluorinated plastic optical fiber and alumino-silicate optical fiber in internal optical interconnections operation, where these materials have low dispersion at the operating wavelength 1.3μm. Temperature dependence of total dispersion coefficient is deeply investigated for these fibers. The temperature variations range from −50°C to 100°C. The obtained results show the dramatic effects of increasing ambient temperature variations on the signal quality degradation. The effects of increasing optical fiber length on optical interconnections performance efficiency and operation speed. A comparative study shows that, perfluorinated plastic optical fiber overcomes the alumino- silicate in operation performance efficiency and installation flexibility.

Optical Wireless Communication Systems Operation Performance Efficiency Evaluation in the Presence of Different Fog Density Levels and Noise Impact

The free space optical communication technology tries to fulfill rising need for high bandwidth transmission capability link along with security and ease in installation. The free space optics uses beam of light to provide optical connection that can send and receive video, voice, and data information. In this paper a model analytical description of optical wireless communication systems operation performance efficiency evaluation in the presence of different fog density levels and noise is constructed. It is used for quantitative determination of the maximum range between transmitter and receiver depending on the signal transmission quality. Link margin, signal transmission, signal quality, received signal power, particle size distribution, optical depth, transmission data rate, signal time delay spread, signal noise and signal attenuation are deeply studied over wide range of the affecting parameters. Signal time delay spread and signal to noise ratio are deeply studied with using on-off keying modulation technique and are compared with their results with using binary phase shift keying in Li et al. (IEEE Trans Commun 55:1598---1606, 2007).

Firm credit risk evaluation: a series two-stage DEA modeling framework

This paper documents a new series two-stage DEA modeling framework for credit risk evaluation in terms of operating performance efficiency and effectiveness that is implemented to a sample of listed Greek firms of basic resources and chemicals sector. In the series stages two types of DEA metrics are used: The first type is based on the range adjusted measure (RAM) whereas the second type is based on a common set of weights (CSW) of RAM. Performance inefficiency is uncovered in both performance dimensions, but the real problem of inefficiency of the sampled firms is a lower level of effectiveness, rather than operating performance efficiency. The operating efficiency is not correlated with effectiveness, and thus it seems that there is not a link between the performance at the operational (cost-oriented) and financial (profit-oriented) spaces of the firm. Therefore, sample firms should give more emphasis on their profit-oriented policies to ensure their success in the industry. The research framework may benefit not only Greek listed firms, but also firms in other countries to quantify their performance and improve their competitive advantages.

The relative efficiency of shipping companies

This paper contributes to the maritime transport literature by examining the relative efficiency of firms in the three key sectors of the shipping industry, i.e. dry, wet and container shipping. Two relative efficiency models are developed to assess relative market and relative operating performance efficiency. The theoretical framework of fundamental analysis is adopted to derive the inputs and outputs in the efficiency models which are assessed using data envelopment and stochastic frontier analysis. Shipping companies were found to exhibit average market efficiency. Market and operating performance efficiency of maritime firms is not consistent. Tanker companies are more market efficient whereas container shipping firms are found to have high operating performance efficiency but were market inefficient. Dry bulk firms were found to have the lowest ratings of market efficiency.