An integrated approach for identifying the efficiency-oriented drivers of electronic markets in electronic business

2019 ◽  
Vol 32 (1) ◽  
pp. 60-74 ◽  
Author(s):  
Sophia Xiaoxia Duan ◽  
Hepu Deng ◽  
Feng Luo
Keyword(s):  
Regression Analysis ◽  
Integrated Approach ◽  
Electronic Business ◽  
Tobit Regression ◽  
Content Type ◽  
Novel Approach ◽  
Dea Analysis ◽  
Evaluation Problem ◽  
Overall Efficiency ◽  
Tobit Regression Analysis

Purpose Effectively evaluating the efficiency of individual e-markets for better understanding the efficiency-oriented critical drivers for individual e-markets is of great significance to the development of electronic business. The purpose of this paper is to develop an approach through adequately integrating data envelopment analysis (DEA) and bootstrapped Tobit regression analysis for identifying the efficiency-oriented critical drivers on the development of e-market in electronic business. Design/methodology/approach A review of the related literature is conducted for adequately formulating the e-market evaluation problem. DEA is appropriately used for assessing the efficiency of available e-markets, leading to the identification of the efficient e-market. Tobit regression analysis is then employed to examine the outcome of the DEA analysis for identifying the efficiency-oriented critical drivers in the development of e-markets in electronic business. Findings A better understanding of the operations of individual e-markets with respect to their overall efficiency in electronic business can be achieved with the use of the developed approach. Such understanding is built on the identification of the efficiency-oriented critical drivers on the development of e-market in electronic business. Originality/value This paper develops a novel approach for better understanding of the operations of individual e-markets with respect to their overall efficiency in electronic business. The adoption of this approach helps existing e-markets improve their efficiency by focussing on the efficiency-oriented critical drivers and provide new players in e-markets with guidelines for developing their efficient e-markets.

scholarly journals Technical Efficiency in Public Hospitals in Kenya: A Two –Stage Data Envelopment Analysis

2018 ◽  
Vol 10 (6) ◽  
pp. 141
Author(s):  
Francis Kimani Mwihia ◽  
James Machoki M’ Imunya ◽  
Germano Mwabu ◽  
Urbanus M. Kioko ◽  
Benson B. A. Estambale
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Public Hospitals ◽  
Capital City ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Hospital Variation ◽  
Dea Analysis ◽  
Tobit Regression Analysis

The paper uses the DEA technique to estimate efficiency scores in Kenyan public hospitals and then applies the Tobit regression to study inter-hospital variation in the scores. The DEA analysis reveals that small hospitals are more efficient than large hospitals, with efficiency levels ranging from 74-91% in small DMUs and from 57-78% in large DMUs. Tobit regression analysis shows efficiency scores are negatively correlated with the hospital’s distance from the manager’s residence and from the capital city. Internal and external supervisions are suggested as mechanisms for increasing performance of hospitals.

An integrated approach to evaluate the risk of adverse events in hospital sector

2018 ◽  
Vol 56 (10) ◽  
pp. 2187-2224 ◽  
Author(s):  
Miguel Angel Ortiz-Barrios ◽  
Zulmeira Herrera-Fontalvo ◽  
Javier Rúa-Muñoz ◽  
Saimon Ojeda-Gutiérrez ◽  
Fabio De Felice ◽  
...  
Keyword(s):  
Decision Making ◽  
Adverse Events ◽  
High Performance ◽  
Decision Aids ◽  
Integrated Approach ◽  
Healthcare Management ◽  
Vikor Method ◽  
Hospital Sector ◽  
Content Type ◽  
Novel Approach

PurposeThe risk of adverse events in a hospital evaluation is an important process in healthcare management. It involves several technical, social, and economical aspects. The purpose of this paper is to propose an integrated approach to evaluate the risk of adverse events in the hospital sector.Design/methodology/approachThis paper aims to provide a decision-making framework to evaluate hospital service. Three well-known methods are applied. More specifically are proposed the following methods: analytic hierarchy process (AHP), a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology developed by Thomas L. Saaty in the 1970s; decision-making trial and evaluation laboratory (DEMATEL) to construct interrelations between criteria/factors and VIKOR method, a commonly used multiple-criteria decision analysis technique for determining a compromise solution and improving the quality of decision making.FindingsThe example provided has demonstrated that the proposed approach is an effective and useful tool to assess the risk of adverse events in the hospital sector. The results could help the hospital identify its high performance level and take appropriate measures in advance to prevent adverse events. The authors can conclude that the promising results obtained in applying the AHP–DEMATEL–VIKOR method suggest that the hybrid method can be used to create decision aids that it simplifies the shared decision-making process.Originality/valueThis paper presents a novel approach based on the integration of AHP, DEMATEL and VIKOR methods. The final aim is to propose a robust methodology to overcome disadvantages associated with each method.

A slack-based DEA analysis for the world cup teams

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fazıl Gökgöz ◽  
Engin Yalçın
Keyword(s):  
Performance Measurement ◽  
Data Envelopment ◽  
Sports Performance ◽  
World Cup ◽  
Actual Performance ◽  
Content Type ◽  
Novel Approach ◽  
The World ◽  
Dea Analysis ◽  
Dea Approach

Purpose This paper aims to assess the efficiency levels of World Cup teams via the slack-based data envelopment analysis (DEA) approach, which contributes to filling an important gap for performance measurement in football. Design/methodology/approach This study focuses on a comparative analysis of the past two World Cups. The authors initially estimate the efficiency of the World Cup teams via the slack-based DEA approach, which is a novel approach for sports performance measurement. The authors also present the conventional DEA results to compare results. The authors also include improvement ratios, which provide significant details for inefficient countries to enhance their efficiency. Besides, the authors include effectiveness ratings to present a complete performance overview of the World Cup teams. Findings According to the analysis results of the slack-based DEA approach, titleholder Germany and France are found as efficient teams in the 2014 and 2018 World Cup, respectively. Besides, Belgium and Russia recorded the highest efficiency improvement in the 2018 World Cup. The novel approach for sports performance measurement, the slack-based DEA approach, significantly overlaps with the actual performance of teams. Originality/value This study presents novelty in football performance by adopting the slack-based DEA with an undesirable output model for the performance measurement of the World Cup teams. This empirical analysis would be a pioneer study measuring the performance of football teams via the slack-based DEA approach.

Non–Small-Cell Lung Cancer: Real-World Cost Consequence Analysis

2021 ◽  
pp. OP.20.00863
Author(s):  
Alessandra Buja ◽  
Giulia Pasello ◽  
Giuseppe De Luca ◽  
Alberto Bortolami ◽  
Manuel Zorzi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Regression Analysis ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Real World ◽  
Average Cost ◽  
Small Cell ◽  
Tobit Regression ◽  
Small Cell Lung ◽  
Tobit Regression Analysis

PURPOSE: The present work aimed at conducting a real-world data analysis on the management costs and survival analysis comparing data from non–small-cell lung cancer (NSCLC) cases diagnosed in the Veneto region before (2015) and after (2017) the implementation of a regional diagnostic and therapeutic pathway including all new diagnostic and therapeutic strategies. METHOD: This study considered 254 incidental cases of NSCLC in 2015 and 228 in 2017 within the territory of the Padua province (Italy), as recorded by the Veneto Cancer Registry. Tobit regression analysis was performed to verify if total and each item costs (2 years after NSCLC diagnosis) are associated with index year, adjusting by year of diagnosis, sex, age, and stage at diagnosis. Logistic regression models were run to study overall mortality at 2 years, adjusting by the same covariates. RESULTS: The 2017 cohort had a lower mortality odd (odds ratio, 0.93; P = .02) and a significant increase in the average overall costs ( P = .009) than the 2015 cohort. The Tobit regression analysis by cost item showed a very significant increase in the average cost of drugs (coefficient = 5,953, P = .008) for the 2017 cohort, as well as a decrease in the average cost of hospice care (coefficient = –1,822.6, P = .022). CONCLUSION: Our study showed a survival improvement for patients with NSCLC as well as an economic burden growth. Physicians should therefore be encouraged to follow new clinical care pathways, while the steadily rising related costs underscore the need for policymakers and health professionals to pursue.

scholarly journals PENGHITUNGAN TINGKAT JANGKAUAN KOPERASI SYARIAH TERHADAP MASYARAKAT MISKIN DI JAWA TIMUR

2020 ◽  
Vol 7 (5) ◽  
pp. 836
Author(s):  
Tita Novita Sari ◽  
Raditya Sukmana
Keyword(s):  
Regression Analysis ◽  
Sampling Technique ◽  
Quantitative Approach ◽  
Poor People ◽  
Tobit Regression ◽  
Purposive Sampling ◽  
Analysis Techniques ◽  
Tobit Regression Analysis

This study aims to analyze the outreach of sharia cooperatives in East Java. This study uses a quantitative approach using Tobit regression analysis techniques. Sampling using a purposive sampling technique and obtained 8 Islamic cooperatives that fit the criteria. The results of this study indicate that sharia cooperatives are in reaching poor people in East Java. Sharia cooperatives that have the highest coverage scores are BMT Mandiri Artha Syariah and BMT Al-Izzah Amanah Umat.Keywords: Sharia Cooperatives, outreach, BMT

scholarly journals Socioeconomic Impact of Automation on Horticulture Production Firms in the Northern Gulf of Mexico Region

2008 ◽  
Vol 18 (4) ◽  
pp. 697-704 ◽  
Author(s):  
Benedict C. Posadas ◽  
Patricia R. Knight ◽  
Randal Y. Coker ◽  
Christine H. Coker ◽  
Scott A. Langlois ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Gulf Of Mexico ◽  
Empirical Models ◽  
Retention Rates ◽  
Socioeconomic Impact ◽  
Tobit Regression ◽  
Skilled Workers ◽  
Employment Impact ◽  
Levels Of Automation ◽  
Tobit Regression Analysis

Using results of a socioeconomic survey of nurseries and greenhouses, Tobit regression analysis was used to estimate empirical models to measure the socioeconomic impact of automation or mechanization on annual gross sales, annual employment, and workers' earnings, safety, and retention. The survey was conducted among 87 randomly selected nurseries and greenhouses located in Mississippi, Louisiana, and Alabama, from Dec. 2003 to Mar. 2005. About 20% of all the identified major tasks were performed by workers in nurseries and greenhouses with some form of mechanization or automation. Regression results showed that nurseries and greenhouses that experienced higher levels of sales also demonstrated higher levels of automation or mechanization. The employment impact of automation or mechanization was neutral, indicating that any improvement in automation or mechanization did not necessarily lead to a reduction, but instead to a more efficient use of labor by nurseries and greenhouses. Improvements in automation or mechanization resulted in higher total workers' earnings reported by participating nurseries and greenhouses. Further Tobit regression results showed that automation or mechanization had neutral effects on the length of training period, workers' safety, and retention rates and enabled nurseries and greenhouses to hire less-skilled workers.

The role of manufacturer in supply chain transformation from intransitive into transitive triads: implications for the network rent

2019 ◽  
Vol 24 (4) ◽  
pp. 445-468 ◽  
Author(s):  
Artur Swierczek
Keyword(s):  
Regression Analysis ◽  
Supply Chains ◽  
Social Exchange ◽  
Social Exchange Theory ◽  
Negative Relationship ◽  
Path Model ◽  
Content Type ◽  
Novel Approach ◽  
Relational Embeddedness

PurposeThis study aims to investigate the link between manufacturer relational embeddedness, manufacturer influence and supplier-customer relational embeddedness and their resulting impact on the network rent.Design/methodology/approachLeveraging the theoretical lens of social exchange theory and the relational view and utilizing the survey data derived from the transitional triadic supply chains, the authors used multiple regression analysis and the partial least squares (PLS) path model. The regression analysis with interaction effects is used to indicate the network rent, while the PLS path model is applied to investigate the link between manufacturer relational embeddedness, manufacturer influence and supplier-customer relational embeddedness and their subsequent impact on the network rent.FindingsThe authors empirically establish that manufacturer relational embeddedness, as a higher-order factor, can comprise both upstream and downstream relational embeddedness. The research also demonstrates that manufacturer relational embeddedness significantly contributes to the manufacturer’s eagerness to form a direct link between the supplier and the customer, and the manufacturers report a significant ability to affect this relationship. Likewise, the study shows that supplier-customer relational embeddedness significantly and positively affects the network rent. In addition, the study implies that supplier-customer relational embeddedness is a mediator between manufacturer influence and the network rent, while manufacturer influence is a suppressor variable, which increases the negative relationship between manufacturer relational embeddedness and supplier-customer relational embeddedness.Research limitations/implicationsThe research makes three key contributions. First, this study, as one of very few, simultaneously embraces context, intervention, mechanism and outcome, while investigating the role of manufacturer (its relational embeddedness and influence) in promoting supplier-customer relational embeddedness, and its resulting effect on the network rent. Further on, to the best of the authors’ knowledge, this is the first empirically based study that demonstrates to what extent the manufacturer is capable of fostering supplier-customer relational embeddedness, thus favoring the transposition from the intransitive into the transitive triadic supply chains. Finally, to date, the concept of network rent has been mostly conceptualized as the theoretical construct with no empirical evidence. This research offers guidance for manufacturers in managing the relationships between the supplier and the customer to yield the highest network rent.Originality/valueThis study provides a novel approach to investigating the role of manufacturer and relational embeddedness in yielding the network rent in the transitional triadic supply chains.

Measuring operational efficiency of isolation hospitals during COVID-19 pandemic using data envelopment analysis: a case of Egypt

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahmoud Abdelrahman Kamel ◽  
Mohamed El-Sayed Mousa
Keyword(s):  
Data Envelopment Analysis ◽  
Design Methodology ◽  
Operational Efficiency ◽  
Data Envelopment ◽  
Allocation Of Resources ◽  
Tobit Regression ◽  
Health Crisis ◽  
Content Type ◽  
Dea Analysis ◽  
Using Data

PurposeThis 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/approachTo 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.FindingsBased 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/implicationsThe 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/valueDespite 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.

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