The Indian Pharmaceutical Industry - An Overview of Internal Efficiencies using Data Envelopment Analysis

2004 ◽  
Author(s):  
Haritha Saranga Saranga ◽  
B.V. Phani
Keyword(s):  
Data Envelopment Analysis ◽  
Pharmaceutical Industry ◽  
Data Envelopment ◽  
Using Data ◽  
Indian Pharmaceutical Industry

scholarly journals An inquiry into the productivity of the Indian pharmaceutical industry: application of data envelopment analysis

2017 ◽  
Vol 14 (2) ◽  
pp. 145
Author(s):  
Umang gupta Kumar Gupta ◽  
Rohit Kapoor
Keyword(s):  
Data Envelopment Analysis ◽  
Pharmaceutical Industry ◽  
Data Envelopment ◽  
Pharmaceutical Firm ◽  
Financial Reports ◽  
The Past ◽  
The Common ◽  
Indian Pharmaceutical Industry ◽  
Decision Making Units ◽  
Future Growth

Pharmaceutical industry is an important and significant industry in India. The common practice by experts, would-be investors and stakeholders of a pharmaceutical firm is to observe the year-end or quarterly financial figures of a firm and then use them to assess the firm’s future growth and competitive standing against rivals. However, over the past few years, there is a strange environment in which paid consultants and scamsters are making false and conflicting claims in terms of the performance and future growth of the companies. The researchers, however, have attempted, by means of Data Envelopment Analysis (DEA), to get past all this by benchmarking the companies based on the conversion from input to outputs. The advantage of using DEA is that, by simply using the figures from the financial reports, it brings a more rigorous quantitative analysis to make a comparison of the peers with the best virtual firm in their neighborhood. The technique itself may suggest measures for improvement. It is illustrated in the analysis by observing the slacks and targets about various companies of the pharmaceutical sector, i.e., decision making units (DMU). 

Measuring the Efficiency of Marketing Efforts in the Indian Pharmaceutical Industry using Data Envelopment Analysis

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
M. Dash ◽  
A. Bose ◽  
S. Shome ◽  
S. Mondal ◽  
M.G. Majumdar ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Sales Performance ◽  
Pharmaceutical Companies ◽  
Data Envelopment ◽  
Panel Regression ◽  
Model Data ◽  
Huge Amount ◽  
Using Data ◽  
The Impact ◽  
Indian Pharmaceutical Industry

Pharmaceutical companies have been spending huge amount of money on marketing and promotions, sales distribution, and traveling done by the sales representatives. However, they find it difficult to directly link the returns with these efforts. This study makes an attempt to examine whether the marketing efforts have significant influence on the sales performance in the industry. It uses the DEA model (Data Envelopment Analysis) to assess the efficiency of marketing efforts by pharmaceutical companies, and uses random effects maximum likelihood panel regression to assess the significance of the impact of marketing efforts.

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

scholarly journals Performance Evaluation of Fishery Enterprises Using Data Envelopment Analysis—A Malmquist Model

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 469
Author(s):  
Chia-Nan Wang ◽  
Thi-Ly Nguyen ◽  
Thanh-Tuan Dang ◽  
Thi-Hong Bui
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Technological Progress ◽  
Data Envelopment ◽  
Domestic Economy ◽  
Factor Productivity ◽  
Sales Revenue ◽  
Business Efficiency ◽  
Using Data ◽  
Decision Making Units

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.

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